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29 results on '"Rasconi, S."'

1. Short-Term Dynamics of Bdellovibrio and Like Organisms in Lake Geneva in Response to a Simulated Climatic Extreme Event

Author: Ezzedine, J. A., Janicot, A., Rasconi, S., Domaizon, I., and Jacquet, S.
Published: 2022
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2. Global consortium for the classification of fungi and fungus-like taxa

Author: Hyde, K.D., Abdel-Wahab, M.A., Abdollahzadeh, J., Abeywickrama, P.D., Absalan, S., Afshari, N., Ainsworth, A.M., Akulov, O.Y., Aleoshin, V.V., Al-Sadi, A.M., Alvarado, P., Alves, A., Alves-Silva, G., Amalfi, M., Amira, Y., Amuhenage, T.B., Anderson, J., Antonín, V., Aouali, S., Aptroot, A., Apurillo, C.C.S., Araújo, J.P.M., Ariyawansa, H.A., Armand, A., Arumugam, E., Asghari, R., Assis, D.M.A., Atienza, V., Avasthi, S., Azevedo, E., Bahkali, A.H., Bakhshi, M., Banihashemi, Z., Bao, D.F., Baral, H.O., Barata, M., Barbosa, F., Barbosa, R.N., Barreto, R.W., Baschien, C., Belamesiatseva, D.B., Bennett Reuel, M., Bera, I., Bezerra, J.D.P., Bezerra, J.L., Bhat, D.J., Bhunjun, C.S., Bianchinotti, M.V., Błaszkowski, J., Blondelle, A., Boekhout, T., Bonito, G., Boonmee, S., Boonyuen, N., Bregant, C., Buchanan, P., Bundhun, D., Burgaud, G., Burgess, T., Buyck, B., Cabarroi-Hernández, M., Cáceres, M.E.S., Caeiro, M.F., Cai, L., Cai, M.F., Calabon, M.S., Calaça, F.J.S., Callalli, M., Camara, M.P.S., Cano-Lira, J.F., Cantillo, T., Cao, B., Carlavilla, J.R., Carvalho, A., Castañeda-Ruiz, R.F., Castlebury, L., Castro-Jauregui, O., Catania, M.D.V., Cavalcanti, L.H., Cazabonne, J., Cedeño-Sanchez, M.L., Chaharmiri-Dokhaharani, S., Chaiwan, N., Chakraborty, N., Chaverri, P., Cheewangkoon, R., Chen, C., Chen, C.Y., Chen, K.H., Chen, J., Chen, Q., Chen, W.H., Chen, Y.P., Chethana, K.W.T., Coleine, C., Condé, T.O., Corazon-Guivin, M.A., Cortés-Pérez, A., Costa-Rezende, D.H., Courtecuisse, R., Crouch, J.A., Crous, P.W., Cui, B.K., Cui, Y.Y., da Silva, D.K.A., da Silva, G.A., da Silva, I.R., da Silva, R.M.F., da Silva Santos, A.C., Dai, D.Q., Dai, Y.C., Damm, U., Darmostuk, V., Daroodi, Z., Das, K., Davoodian, N., Davydov, E.A., Dayarathne, M.C., Decock, C., de Groot, M.D., De Kesel, A., dela Cruz, T.E.E., De Lange, R., Delgado, G., Denchev, C.M., Denchev, T.T., de Oliveira, N.T., de Silva, N.I., de Souza, F.A., Dentinger, B., Devadatha, B., Dianese, J.C., Dima, B., Diniz, A.G., Dissanayake, A.J., Dissanayake, L.S., Doğan, H.H., Doilom, M., Dolatabadi, S., Dong, W., Dong, Z.Y., Dos Santos, L.A., Drechsler-Santos, E.R., Du, T.Y., Dubey, M.K., Dutta, A.K., Egidi, E., Elliott, T.F., Elshahed, M.S., Erdoğdu, M., Ertz, D., Etayo, J., Evans, H.C., Fan, X.L., Fan, Y.G., Fedosova, A.G., Fell, J., Fernandes, I., Firmino, A.L., Fiuza, P.O., Flakus, A., Fragoso de Souza, C.A., Frisvad, J.C., Fryar, S.C., Gabaldón, T., Gajanayake, A.J., Galindo, L.J., Gannibal, P.B., García, D., García-Sandoval, S.R., Garrido-Benavent, I., Garzoli, L., Gautam, A.K., Ge, Z.W., Gené, D.J., Gentekaki, E., Ghobad-Nejhad, M., Giachini, A.J., T.b., Gibertoni, Góes-Neto, A., Gomdola, D., Gomes de Farias, A.R., Gorjón, S.P., Goto, B.T., Granados-Montero, M.M., Griffith, G.W., Groenewald, J.Z., Groenewald, M., Grossart, H.P., Gueidan, C., Gunarathne, A., Gunaseelan, S., Gusmão, L.F.P., Gutierrez, A.C., Guzmán-Dávalos, L., Haelewaters, D., Halling, R., Han, Y.F., Hapuarachchi, K.K., Harder, C.B., Harrington, T.C., Hattori, T., He, M.Q., He, S., He, S.H., Healy, R., Herández-Restrepo, M., Heredia, G., Hodge, K.T., Holgado-Rojas, M., Hongsanan, S., Horak, E., Hosoya, T., Houbraken, J., Huang, S.K., Huanraluek, N., Hur, J.S., Hurdeal, V.G., Hustad, V.P., Iotti, M., Iturriaga, T., Jafar, E., Janik, P., Jayalal, R.G.U., Jayasiri, S.C., Jayawardena, R.S., Jeewon, R., Jerônimo, G.H., Jesus, A.L., Jin, J., Johnston, P.R., Jones, E.B.G., Joshi, Y., Justo, A., Kaishian, P., Kakishima, M., Kaliyaperumal, M., Kang, G.P., Kang, J.C., Karimi, O., Karpov, S.A., Karunarathna, S.C., Kaufmann, M., Kemler, M., Kezo, K., Khyaju, S., Kirchmair, M., Kirk, P.M., Kitaura, M.J., Klawonn, I., Kolarik, M., Kong, A., Kuhar, F., Kukwa, M., Kumar, S., Kušan, I., Lado, C., Larsson, K.H., Latha, K.P.D., Lee, H.B., Leonardi, M., Leontyev, D.L., Lestari, A.S., Li, C.J.Y., Li, D.W., Li, H., Li, H.Y., Li, L., Li, Q.R., Li, W.L., Li, Y., Li, Y.C., Liao, C.F., Liimatainen, K., Lim, Y.W., Lin, C.G., Linaldeddu, B.T., Linde, C.C., Linn, M.M., Liu, F., Liu, J.K., Liu, N.G., Liu, S., Liu, S.L., Liu, X.F., Liu, X.Y., Liu, X.Z., Liu, Z.B., Lu, L., Lu, Y.Z., Luangharn, T., Luangsa-ard, J.J., Lumbsch, H.T., Lumyong, S., Luo, L., Luo, M., Luo, Z.L., Ma, J., Machado, A.R., Madagammana, A.D., Madrid, H., Magurno, F., Magyar, D., Mahadevan, N., Maharachchikumbura, S.S.N., Maimaiti, Y., Malosso, E., Manamgoda, D.S., Manawasinghe, I.S., Mapook, A., Marasinghe, D.S., Mardones, M., Marin-Felix, Y., Márquez, R., Masigol, H., Matočec, N., May, Tom W., McKenzie, E.H.C., Meiras-Ottoni, A., Melo, R.F.R., Mendes, A.R.L., Mendieta, S., Meng, Q.F., Menkis, A., Menolli, N Jr., Mešić, A., Meza Calvo, J.G., Mikhailov, K.V., Miller, S.L., Moncada, B., Moncalvo, J.M., Monteiro, J.S., Monteiro, M., Mora-Montes, H.M., Moreau, P.A., Mueller, G.M., Mukhopadyay, S., Murugadoss, R., Nagy, L.G., Najafiniya, M., Nanayakkara, C.M., Nascimento, C.C., Nei, Y., Neves, M.A., Neuhauser, S., Niego, A.G.T., Nilsson, R.H., Niskanen, T., Niveiro, N., Noorabadi, M.T., Noordeloos, M.E., Norphanphoun, C., Nuñez Otaño, N.B., O’Donnell, R.P., Oehl, F., Olariaga, I., Orlando, F.P., Pang, K.L., Papp, V., Pawłowska, J., Peintner, U., Pem, D., Pereira, Olinto Liparini, Perera, R.H., Perez-Moreno, J., Perez-Ortega, S., Péter, G., Phillips, A.J.L., Phonemany, M., Phukhamsakda, C., Phutthacharoen, K., Piepenbring, M., Pires-Zottarelli, C.L.A., Poinar, G., Pošta, A., Prieto, M., Promputtha, I., Quandt, C.A., Radek, R., Rahnama, K., Raj, K.N.A., Rajeshkumar, K.C., Rämä, Teppo, Rambold, G., Ramírez-Cruz, V., Rasconi, S., Rathnayaka, A.R., Raza, M., Ren, G.C., Robledo, G.L., Rodriguez-Flakus, P., Ronikier, A., Rossi, W., Ryberg, M., Ryvarden, L.R., Salvador-Montoya, C.A., Samant, B., Samarakoon, B.C., Samarakoon, M.C., Sánchez-Castro, I., Sánchez-García, M., Sandoval-Denis, M., Santiago, A.L.C.M.A., Santamaria, B., Santos, A.C.S., Sarma, V.V., Savchenko, A., Savchenko, K., Saxena, R.K., Scholler, M., Schoutteten, N., Seifollahi, E., Selbmann, Laura, Selcuk, F., Senanayake, I.C., Seto, K., Shabashova, T.G., Shen, H.W., Shen, Y.M., Silva-Filho, A.G.S., Simmons, D.R., Singh, R., Sir, E.B., Song, C.G., Souza-Motta C.M. Sruthi, O.P., Stadler, M., Stchigel, A.M., Stemler, J., Stephenson, S.L., Strassert, J.F.H., Su, H.L., Su, L., Suetrong, S., Sulistyo, B., Sun, Y.F., Sun, Y.R., Svantesson, S., Sysouphanthong, P., Takamatsu, S., Tan, T.H., Tanaka, Kazuaki, Tang, A.M.C., Tang, X., Tanney, J.B., Tavakol, N.M., Taylor, J.E., Taylor, P.W.J., Tedersoo, L., Tennakoon, D.S., Thamodini, G.K., Thines, Marco, Thiyagaraja, V., Thongklang, N., Tiago, P.V., Tian, Q., Tian, W.H., Tibell, L., Tibell, S., Tibpromma, S., Tkalčec, Z., Tomšovský, M., Toome-Heller, M., Torruella, G., Tsurykau, A., Udayanga, Dhanushka, Ulukapi, M., Untereiner, W.A., Uzunov, B.A., Valle, L.G., Van Caenegem, W., Van den Wyngaert, S., Van Vooren, N., Velez, P., Verma, R.K., Vieira, L.C., Vieira, W.A.S., Vizzini, A., Walker, A., Walker, A.K., Wanasinghe, D.N., Wang, C.G., Wang, K., Wang, S.X., Wang, X.Y., Wang, Y., Wannasawang, N., Wartchow, F., Wei, D.P., Wei, X.L., White, J.F., Wijayawardene, N.N., Wijesinghe, S.N., Wijesundara, D.S.A., Wisitrassameewong, K., Worthy, F.R., Wu, F., Wu, G., Wu, H.X., Wu, N., Wu, W.P., Wurzbacher, C., Xiao, Y.P., Xiong, Y.R., Xu, L.J., Xu, R., Xu, R.F., Xu, R.J., Xu, T.M., Yakovchenko, L., Yan, J.Y., Yang, H., Yang, J., Yang, Z.L., Yang, Y.H., Yapa, N., Yasanthika, E., Youssef, N.H., Yu, F.M., Yu, Q., Yu, X.D., Yu, Y.X., Yu, Z.F., Yuan, H.S., Yuan, Y., Yurkov, Andrey, Zafari, D., Zamora, Juan Carlos, Zare, Rasoul, Zeng, M., Zeng, N.K., Zeng, X.Y., Zhang, F., Zhang, H., Zhang, J.F., Zhang, J.Y., Zhang, Q.Y., Zhang, S.N., Zhang, W., Zhang, Y., Zhang, Y.X., Zhao, C.L., Zhao, H., Zhao, Q., Zhao, R.L., Zhou, L.W., Zhou, M., Zhurbenko, M.P., Zin, H.H., Zucconi, L., Hyde, K.D., Abdel-Wahab, M.A., Abdollahzadeh, J., Abeywickrama, P.D., Absalan, S., Afshari, N., Ainsworth, A.M., Akulov, O.Y., Aleoshin, V.V., Al-Sadi, A.M., Alvarado, P., Alves, A., Alves-Silva, G., Amalfi, M., Amira, Y., Amuhenage, T.B., Anderson, J., Antonín, V., Aouali, S., Aptroot, A., Apurillo, C.C.S., Araújo, J.P.M., Ariyawansa, H.A., Armand, A., Arumugam, E., Asghari, R., Assis, D.M.A., Atienza, V., Avasthi, S., Azevedo, E., Bahkali, A.H., Bakhshi, M., Banihashemi, Z., Bao, D.F., Baral, H.O., Barata, M., Barbosa, F., Barbosa, R.N., Barreto, R.W., Baschien, C., Belamesiatseva, D.B., Bennett Reuel, M., Bera, I., Bezerra, J.D.P., Bezerra, J.L., Bhat, D.J., Bhunjun, C.S., Bianchinotti, M.V., Błaszkowski, J., Blondelle, A., Boekhout, T., Bonito, G., Boonmee, S., Boonyuen, N., Bregant, C., Buchanan, P., Bundhun, D., Burgaud, G., Burgess, T., Buyck, B., Cabarroi-Hernández, M., Cáceres, M.E.S., Caeiro, M.F., Cai, L., Cai, M.F., Calabon, M.S., Calaça, F.J.S., Callalli, M., Camara, M.P.S., Cano-Lira, J.F., Cantillo, T., Cao, B., Carlavilla, J.R., Carvalho, A., Castañeda-Ruiz, R.F., Castlebury, L., Castro-Jauregui, O., Catania, M.D.V., Cavalcanti, L.H., Cazabonne, J., Cedeño-Sanchez, M.L., Chaharmiri-Dokhaharani, S., Chaiwan, N., Chakraborty, N., Chaverri, P., Cheewangkoon, R., Chen, C., Chen, C.Y., Chen, K.H., Chen, J., Chen, Q., Chen, W.H., Chen, Y.P., Chethana, K.W.T., Coleine, C., Condé, T.O., Corazon-Guivin, M.A., Cortés-Pérez, A., Costa-Rezende, D.H., Courtecuisse, R., Crouch, J.A., Crous, P.W., Cui, B.K., Cui, Y.Y., da Silva, D.K.A., da Silva, G.A., da Silva, I.R., da Silva, R.M.F., da Silva Santos, A.C., Dai, D.Q., Dai, Y.C., Damm, U., Darmostuk, V., Daroodi, Z., Das, K., Davoodian, N., Davydov, E.A., Dayarathne, M.C., Decock, C., de Groot, M.D., De Kesel, A., dela Cruz, T.E.E., De Lange, R., Delgado, G., Denchev, C.M., Denchev, T.T., de Oliveira, N.T., de Silva, N.I., de Souza, F.A., Dentinger, B., Devadatha, B., Dianese, J.C., Dima, B., Diniz, A.G., Dissanayake, A.J., Dissanayake, L.S., Doğan, H.H., Doilom, M., Dolatabadi, S., Dong, W., Dong, Z.Y., Dos Santos, L.A., Drechsler-Santos, E.R., Du, T.Y., Dubey, M.K., Dutta, A.K., Egidi, E., Elliott, T.F., Elshahed, M.S., Erdoğdu, M., Ertz, D., Etayo, J., Evans, H.C., Fan, X.L., Fan, Y.G., Fedosova, A.G., Fell, J., Fernandes, I., Firmino, A.L., Fiuza, P.O., Flakus, A., Fragoso de Souza, C.A., Frisvad, J.C., Fryar, S.C., Gabaldón, T., Gajanayake, A.J., Galindo, L.J., Gannibal, P.B., García, D., García-Sandoval, S.R., Garrido-Benavent, I., Garzoli, L., Gautam, A.K., Ge, Z.W., Gené, D.J., Gentekaki, E., Ghobad-Nejhad, M., Giachini, A.J., T.b., Gibertoni, Góes-Neto, A., Gomdola, D., Gomes de Farias, A.R., Gorjón, S.P., Goto, B.T., Granados-Montero, M.M., Griffith, G.W., Groenewald, J.Z., Groenewald, M., Grossart, H.P., Gueidan, C., Gunarathne, A., Gunaseelan, S., Gusmão, L.F.P., Gutierrez, A.C., Guzmán-Dávalos, L., Haelewaters, D., Halling, R., Han, Y.F., Hapuarachchi, K.K., Harder, C.B., Harrington, T.C., Hattori, T., He, M.Q., He, S., He, S.H., Healy, R., Herández-Restrepo, M., Heredia, G., Hodge, K.T., Holgado-Rojas, M., Hongsanan, S., Horak, E., Hosoya, T., Houbraken, J., Huang, S.K., Huanraluek, N., Hur, J.S., Hurdeal, V.G., Hustad, V.P., Iotti, M., Iturriaga, T., Jafar, E., Janik, P., Jayalal, R.G.U., Jayasiri, S.C., Jayawardena, R.S., Jeewon, R., Jerônimo, G.H., Jesus, A.L., Jin, J., Johnston, P.R., Jones, E.B.G., Joshi, Y., Justo, A., Kaishian, P., Kakishima, M., Kaliyaperumal, M., Kang, G.P., Kang, J.C., Karimi, O., Karpov, S.A., Karunarathna, S.C., Kaufmann, M., Kemler, M., Kezo, K., Khyaju, S., Kirchmair, M., Kirk, P.M., Kitaura, M.J., Klawonn, I., Kolarik, M., Kong, A., Kuhar, F., Kukwa, M., Kumar, S., Kušan, I., Lado, C., Larsson, K.H., Latha, K.P.D., Lee, H.B., Leonardi, M., Leontyev, D.L., Lestari, A.S., Li, C.J.Y., Li, D.W., Li, H., Li, H.Y., Li, L., Li, Q.R., Li, W.L., Li, Y., Li, Y.C., Liao, C.F., Liimatainen, K., Lim, Y.W., Lin, C.G., Linaldeddu, B.T., Linde, C.C., Linn, M.M., Liu, F., Liu, J.K., Liu, N.G., Liu, S., Liu, S.L., Liu, X.F., Liu, X.Y., Liu, X.Z., Liu, Z.B., Lu, L., Lu, Y.Z., Luangharn, T., Luangsa-ard, J.J., Lumbsch, H.T., Lumyong, S., Luo, L., Luo, M., Luo, Z.L., Ma, J., Machado, A.R., Madagammana, A.D., Madrid, H., Magurno, F., Magyar, D., Mahadevan, N., Maharachchikumbura, S.S.N., Maimaiti, Y., Malosso, E., Manamgoda, D.S., Manawasinghe, I.S., Mapook, A., Marasinghe, D.S., Mardones, M., Marin-Felix, Y., Márquez, R., Masigol, H., Matočec, N., May, Tom W., McKenzie, E.H.C., Meiras-Ottoni, A., Melo, R.F.R., Mendes, A.R.L., Mendieta, S., Meng, Q.F., Menkis, A., Menolli, N Jr., Mešić, A., Meza Calvo, J.G., Mikhailov, K.V., Miller, S.L., Moncada, B., Moncalvo, J.M., Monteiro, J.S., Monteiro, M., Mora-Montes, H.M., Moreau, P.A., Mueller, G.M., Mukhopadyay, S., Murugadoss, R., Nagy, L.G., Najafiniya, M., Nanayakkara, C.M., Nascimento, C.C., Nei, Y., Neves, M.A., Neuhauser, S., Niego, A.G.T., Nilsson, R.H., Niskanen, T., Niveiro, N., Noorabadi, M.T., Noordeloos, M.E., Norphanphoun, C., Nuñez Otaño, N.B., O’Donnell, R.P., Oehl, F., Olariaga, I., Orlando, F.P., Pang, K.L., Papp, V., Pawłowska, J., Peintner, U., Pem, D., Pereira, Olinto Liparini, Perera, R.H., Perez-Moreno, J., Perez-Ortega, S., Péter, G., Phillips, A.J.L., Phonemany, M., Phukhamsakda, C., Phutthacharoen, K., Piepenbring, M., Pires-Zottarelli, C.L.A., Poinar, G., Pošta, A., Prieto, M., Promputtha, I., Quandt, C.A., Radek, R., Rahnama, K., Raj, K.N.A., Rajeshkumar, K.C., Rämä, Teppo, Rambold, G., Ramírez-Cruz, V., Rasconi, S., Rathnayaka, A.R., Raza, M., Ren, G.C., Robledo, G.L., Rodriguez-Flakus, P., Ronikier, A., Rossi, W., Ryberg, M., Ryvarden, L.R., Salvador-Montoya, C.A., Samant, B., Samarakoon, B.C., Samarakoon, M.C., Sánchez-Castro, I., Sánchez-García, M., Sandoval-Denis, M., Santiago, A.L.C.M.A., Santamaria, B., Santos, A.C.S., Sarma, V.V., Savchenko, A., Savchenko, K., Saxena, R.K., Scholler, M., Schoutteten, N., Seifollahi, E., Selbmann, Laura, Selcuk, F., Senanayake, I.C., Seto, K., Shabashova, T.G., Shen, H.W., Shen, Y.M., Silva-Filho, A.G.S., Simmons, D.R., Singh, R., Sir, E.B., Song, C.G., Souza-Motta C.M. Sruthi, O.P., Stadler, M., Stchigel, A.M., Stemler, J., Stephenson, S.L., Strassert, J.F.H., Su, H.L., Su, L., Suetrong, S., Sulistyo, B., Sun, Y.F., Sun, Y.R., Svantesson, S., Sysouphanthong, P., Takamatsu, S., Tan, T.H., Tanaka, Kazuaki, Tang, A.M.C., Tang, X., Tanney, J.B., Tavakol, N.M., Taylor, J.E., Taylor, P.W.J., Tedersoo, L., Tennakoon, D.S., Thamodini, G.K., Thines, Marco, Thiyagaraja, V., Thongklang, N., Tiago, P.V., Tian, Q., Tian, W.H., Tibell, L., Tibell, S., Tibpromma, S., Tkalčec, Z., Tomšovský, M., Toome-Heller, M., Torruella, G., Tsurykau, A., Udayanga, Dhanushka, Ulukapi, M., Untereiner, W.A., Uzunov, B.A., Valle, L.G., Van Caenegem, W., Van den Wyngaert, S., Van Vooren, N., Velez, P., Verma, R.K., Vieira, L.C., Vieira, W.A.S., Vizzini, A., Walker, A., Walker, A.K., Wanasinghe, D.N., Wang, C.G., Wang, K., Wang, S.X., Wang, X.Y., Wang, Y., Wannasawang, N., Wartchow, F., Wei, D.P., Wei, X.L., White, J.F., Wijayawardene, N.N., Wijesinghe, S.N., Wijesundara, D.S.A., Wisitrassameewong, K., Worthy, F.R., Wu, F., Wu, G., Wu, H.X., Wu, N., Wu, W.P., Wurzbacher, C., Xiao, Y.P., Xiong, Y.R., Xu, L.J., Xu, R., Xu, R.F., Xu, R.J., Xu, T.M., Yakovchenko, L., Yan, J.Y., Yang, H., Yang, J., Yang, Z.L., Yang, Y.H., Yapa, N., Yasanthika, E., Youssef, N.H., Yu, F.M., Yu, Q., Yu, X.D., Yu, Y.X., Yu, Z.F., Yuan, H.S., Yuan, Y., Yurkov, Andrey, Zafari, D., Zamora, Juan Carlos, Zare, Rasoul, Zeng, M., Zeng, N.K., Zeng, X.Y., Zhang, F., Zhang, H., Zhang, J.F., Zhang, J.Y., Zhang, Q.Y., Zhang, S.N., Zhang, W., Zhang, Y., Zhang, Y.X., Zhao, C.L., Zhao, H., Zhao, Q., Zhao, R.L., Zhou, L.W., Zhou, M., Zhurbenko, M.P., Zin, H.H., and Zucconi, L.
Abstract: The Global Consortium for the Classification of Fungi and fungus-like taxa is an international initiative of more than 550 mycologists to develop an electronic structure for the classification of these organisms. The members of the Consortium originate from 55 countries/regions worldwide, from a wide range of disciplines, and include senior, mid-career and early-career mycologists and plant pathologists. The Consortium will publish a biannual update of the Outline of Fungi and fungus-like taxa, to act as an international scheme for other scientists. Notes on all newly published taxa at or above the level of species will be prepared and published online on the Outline of Fungi website (https://www.outlineoffungi.org/), and these will be finally published in the biannual edition of the Outline of Fungi and fungus-like taxa. Comments on recent important taxonomic opinions on controversial topics will be included in the biannual outline. For example, ‘to promote a more stable taxonomy in Fusarium given the divergences over its generic delimitation’, or ‘are there too many genera in the Boletales?’ and even more importantly, ‘what should be done with the tremendously diverse ‘dark fungal taxa?’ There are undeniable differences in mycologists’ perceptions and opinions regarding species classification as well as the establishment of new species. Given the pluralistic nature of fungal taxonomy and its implications for species concepts and the nature of species, this consortium aims to provide a platform to better refine and stabilise fungal classification, taking into consideration views from different parties. In the future, a confidential voting system will be set up to gauge the opinions of all mycologists in the Consortium on important topics. The results of such surveys will be presented to the International Commission on the Taxonomy of Fungi (ICTF) and the Nomenclature Committee for Fungi (NCF) with opinions and percentages of votes for and against. Criticisms based
Published: 2023

3. Global consortium for the classification of fungi and fungus-like taxa

Author: Hyde, KD, Abdel-Wahab, MA, Abdollahzadeh, J, Abeywickrama, PD, Absalan, S, Afshari, N, Ainsworth, AM, Akulov, OY, Aleoshin, VV, Al-Sadi, AM, Alvarado, P, Alves, A, Alves-Silva, G, Amalfi, M, Amira, Y, Amuhenage, TB, Anderson, J, Antonín, V, Aouali, S, Aptroot, A, Apurillo, CCS, Araújo, JPM, Ariyawansa, HA, Armand, A, Arumugam, E, Asghari, R, Assis, DMA, Atienza, V, Avasthi, S, Azevedo, E, Bahkali, AH, Bakhshi, M, Banihashemi, Z, Bao, DF, Baral, HO, Barata, M, Barbosa, F, Barbosa, RN, Barreto, RW, Baschien, C, Belamesiatseva, DB, Bennett Reuel, M, Bera, I, Bezerra, JDP, Bezerra, JL, Bhat, DJ, Bhunjun, CS, Bianchinotti, MV, Błaszkowski, J, Blondelle, A, Boekhout, T, Bonito, G, Boonmee, S, Boonyuen, N, Bregant, C, Buchanan, P, Bundhun, D, Burgaud, G, Burgess, T, Buyck, B, Cabarroi-Hernández, M, Cáceres, MES, Caeiro, MF, Cai, L, Cai, MF, Calabon, MS, Calaça, FJS, Callalli, M, Cano-Lira, JF, Cantillo, T, Cao, B, Carlavilla, JR, Carvalho, A, Castañeda-Ruiz, RF, Castlebury, L, Castro-Jauregui, O, Catania, MDV, Cavalcanti, LH, Cazabonne, J, Cedeño-Sanchez, ML, Chaharmiri-Dokhaharani, S, Chaiwan, N, Chakraborty, N, Chaverri, P, Cheewangkoon, R, Chen, C, Chen, CY, Chen, KH, Chen, J, Chen, Q, Chen, WH, Chen, YP, Chethana, KWT, Coleine, C, Condé, TO, Corazon-Guivin, MA, Cortés-Pérez, A, Costa-Rezende, DH, Courtecuisse, R, Crouch, JA, Crous, PW, Cui, BK, Cui, YY, da Silva, DKA, da Silva, GA, da Silva, IR, da Silva, RMF, da Silva Santos, AC, Dai, DQ, Dai, YC, Damm, U, Darmostuk, V, Daroodi, Zoha, Das, K, Davoodian, N, Davydov, EA, Dayarathne, MC, Decock, C, de Groot, MD, De Kesel, A, dela Cruz, TEE, De Lange, R, Delgado, G, Denchev, CM, Denchev, TT, de Oliveira, NT, de Silva, NI, de Souza, FA, Dentinger, B, Devadatha, B, Dianese, JC, Dima, B, Diniz, AG, Dissanayake, AJ, Dissanayake, LS, Doğan, HH, Doilom, M, Dolatabadi, S, Dong, W, Dong, ZY, Dos Santos, LA, Drechsler-Santos, ER, Du, TY, Dubey, MK, Dutta, AK, Egidi, E, Elliott, TF, Elshahed, MS, Erdoğdu, M, Ertz, D, Etayo, J, Evans, HC, Fan, XL, Fan, YG, Fedosova, AG, Fell, J, Fernandes, I, Firmino, AL, Fiuza, PO, Flakus, A, Fragoso de Souza, CA, Frisvad, JC, Fryar, SC, Gabaldón, T, Gajanayake, AJ, Galindo, LJ, Gannibal, PB, García, D, García-Sandoval, SR, Garrido-Benavent, I, Garzoli, L, Gautam, AK, Ge, ZW, Gené, DJ, Gentekaki, E, Ghobad-Nejhad, M, Giachini, AJ, Gibertoni, TB, Góes-Neto, A, Gomdola, D, Gomes de Farias, AR, Gorjón, SP, Goto, BT, Granados-Montero, MM, Griffith, GW, Groenewald, JZ, Groenewald, M, Grossart, HP, Gueidan, C, Gunarathne, A, Gunaseelan, S, Gusmão, LFP, Gutierrez, AC, Guzmán-Dávalos, L, Haelewaters, D, Halling, R, Han, YF, Hapuarachchi, KK, Harder, CB, Harrington, TC, Hattori, T, He, MQ, He, S, He, SH, Healy, R, Herández-Restrepo, M, Heredia, G, Hodge, KT, Holgado-Rojas, M, Hongsanan, S, Horak, E, Hosoya, T, Houbraken, J, Huang, SK, Huanraluek, N, Hur, JS, Hurdeal, VG, Hustad, VP, Iotti, M, Iturriaga, T, Jafar, E, Janik, P, Jayalal, RGU, Jayasiri, SC, Jayawardena, RS, Jeewon, R, Jerônimo, GH, Jesus, AL, Jin, J, Johnston, PR, Jones, EBG, Joshi, Y, Justo, A, Kaishian, P, Kakishima, M, Kaliyaperumal, M, Kang, GP, Kang, JC, Karimi, O, Karpov, SA, Karunarathna, SC, Kaufmann, M, Kemler, M, Kezo, K, Khyaju, S, Kirchmair, M, Kirk, PM, Kitaura, MJ, Klawonn, I, Kolarik, M, Kong, A, Kuhar, F, Kukwa, M, Kumar, S, Kušan, I, Lado, C, Larsson, KH, Latha, KPD, Lee, HB, Leonardi, M, Leontyev, DL, Lestari, AS, Li, CJY, Li, DW, Li, H, Li, HY, Li, L, Li, QR, Li, WL, Li, Y, Li, YC, Liao, CF, Liimatainen, K, Lim, YW, Lin, CG, Linaldeddu, BT, Linde, CC, Linn, MM, Liu, F, Liu, JK, Liu, NG, Liu, S, Liu, SL, Liu, XF, Liu, XY, Liu, XZ, Liu, ZB, Lu, L, Lu, YZ, Luangharn, T, Luangsaard, JJ, Lumbsch, HT, Lumyong, S, Luo, L, Luo, M, Luo, ZL, Ma, J, Machado, AR, Madagammana, AD, Madrid, H, Magurno, F, Magyar, D, Mahadevan, N, Maharachchikumbura, SSN, Maimaiti, Y, Malosso, E, Manamgoda, DS, Manawasinghe, IS, Mapook, A, Marasinghe, DS, Mardones, M, Marin-Felix, Y, Márquez, R, Masigol, H, Matočec, N, May, T, McKenzie, EHC, Meiras-Ottoni, A, Melo, RFR, Mendes, ARL, Mendieta, S, Meng, QF, Menkis, A, Menolli Jr, N, Mešić, A, Meza Calvo, JG, Mikhailov, KV, Miller, SL, Moncada, B, Moncalvo, JM, Monteiro, JS, Monteiro, M, Mora-Montes, HM, Moreau, PA, Mueller, GM, Mukhopadyay, S, Murugadoss, R, Nagy, LG, Najafiniya, M, Nanayakkara, CM, Nascimento, CC, Nei, Y, Neves, MA, Neuhauser, S, Niego, AGT, Nilsson, RH, Niskanen, T, Niveiro, N, Noorabadi, MT, Noordeloos, (Machiel E.), Norphanphoun, C, Nuñez Otaño, NB, O’Donnell, RP, Oehl, F, Olariaga, I, Orlando, FP, Pang, KL, Papp, V, Pawłowska, J, Peintner, U, Pem, D, Pereira, OL, Perera, RH, Perez-Moreno, J, Perez-Ortega, S, Péter, G, Phillips, AJL, Phonemany, M, Phukhamsakda, C, Phutthacharoen, K, Piepenbring, M, Pires-Zottarelli, CLA, Poinar, G, Pošta, A, Prieto, M, Promputtha, I, Quandt, CA, Radek, R, Rahnama, K, Raj, KNA, Rajeshkumar, KC, Rämä, T, Rambold, G, Ramírez-Cruz, V, Rasconi, S, Rathnayaka, AR, Raza, M, Ren, GC, Robledo, GL, Rodriguez-Flakus, P, Ronikier, A, Rossi, W, Ryberg, M, Ryvarden, LR, Salvador‑Montoya, CA, Samant, B, Samarakoon, BC, Samarakoon, MC, Sánchez-Castro, I, Sánchez-García, M, Sandoval-Denis, M, Santiago, ALCMA, Santamaria, B, Santos, ACS, Sarma, VV, Savchenko, A, Savchenko, K, Saxena, RK, Scholler, M, Schoutteten, N, Seifollahi, E, Selbmann, L, Selcuk, F, Senanayake, IC, Shabashova, TG, Shen, HW, Shen, YM, SilvaFilho, AGS, Simmons, DR, Singh, R, Sir, EB, Song, Chang-Ge, Souza-Motta, CM, Sruthi, OP, Stadler, M, Stchigel, AM, Stemler, J, Stephenson, SL, Strassert, JFH, Su, HL, Su, L, Suetrong, S, Sulistyo, B, Sun, YF, Sun, YR, Svantesson, Sten, Sysouphanthong, P, Takamatsu, S, Tan, TH, Tanaka, K, Tang, AMC, Tang, X, Tanney, JB, Tavakol, NM, Taylor, JE, Taylor, PWJ, Tedersoo, L, Tennakoon, DS, Thamodini, GK, Thines, M, Thiyagaraja, V, Thongklang, N, Tiago, PV, Tian, Q, Tian, WH, Tibell, L, Tibell, S, Tibpromma, S, Tkalčec, Z, Tomšovský, M, Toome-Heller, M, Torruella, G, Tsurykau, A, Udayanga, D, Ulukapi, M, Untereiner, WA, Uzunov, BA, Valle, LG, Van Caenegem, W, Van den Wyngaert, S, Van Vooren, N, Velez, P, Verma, RK, Vieira, LC, Vieira, WAS, Vizzini, A, Walker, A, Walker, AK, Wanasinghe, DN, Wang, CG, Wang, K, Wang, SX, Wang, XY, Wang, Y, Wannasawang, N, Wartchow, F, Wei, DP, Wei, XL, White, JF, Wijayawardene, NN, Wijesinghe, SN, Wijesundara, DSA, Wisitrassameewong, K, Worthy, FR, Wu, F, Wu, G, Wu, HX, Wu, N, Wu, WP, Wurzbacher, C, Xiao, YP, Xiong, YR, Xu, LJ, Xu, R, Xu, RF, Xu, RJ, Xu, TM, Yakovchenko, L, Yan, JY, Yang, H, Yang, J, Yang, ZL, Yang, YH, Yapa, N, Yasanthika, E, Youssef, NH, Yu, FM, Yu, Q, Yu, YX, Yu, ZF, Yuan, HS, Yuan, Y, Yurkov, A, Zafari, D, Zamora, JC, Zare, R, Zeng, M, Zeng, NK, Zeng, XY, Zhang, F, Zhang, H, Zhang, JF, Zhang, JY, Zhang, QY, Zhang, SN, Zhang, W, Zhang, Y, Zhang, YX, Zhao, CL, Zhao, H, Zhao, Q, Zhao, RL, Zhou, LW, Zhou, M, Zhurbenko, MP, Zin, HH, Zucconi, L, Hyde, KD, Abdel-Wahab, MA, Abdollahzadeh, J, Abeywickrama, PD, Absalan, S, Afshari, N, Ainsworth, AM, Akulov, OY, Aleoshin, VV, Al-Sadi, AM, Alvarado, P, Alves, A, Alves-Silva, G, Amalfi, M, Amira, Y, Amuhenage, TB, Anderson, J, Antonín, V, Aouali, S, Aptroot, A, Apurillo, CCS, Araújo, JPM, Ariyawansa, HA, Armand, A, Arumugam, E, Asghari, R, Assis, DMA, Atienza, V, Avasthi, S, Azevedo, E, Bahkali, AH, Bakhshi, M, Banihashemi, Z, Bao, DF, Baral, HO, Barata, M, Barbosa, F, Barbosa, RN, Barreto, RW, Baschien, C, Belamesiatseva, DB, Bennett Reuel, M, Bera, I, Bezerra, JDP, Bezerra, JL, Bhat, DJ, Bhunjun, CS, Bianchinotti, MV, Błaszkowski, J, Blondelle, A, Boekhout, T, Bonito, G, Boonmee, S, Boonyuen, N, Bregant, C, Buchanan, P, Bundhun, D, Burgaud, G, Burgess, T, Buyck, B, Cabarroi-Hernández, M, Cáceres, MES, Caeiro, MF, Cai, L, Cai, MF, Calabon, MS, Calaça, FJS, Callalli, M, Cano-Lira, JF, Cantillo, T, Cao, B, Carlavilla, JR, Carvalho, A, Castañeda-Ruiz, RF, Castlebury, L, Castro-Jauregui, O, Catania, MDV, Cavalcanti, LH, Cazabonne, J, Cedeño-Sanchez, ML, Chaharmiri-Dokhaharani, S, Chaiwan, N, Chakraborty, N, Chaverri, P, Cheewangkoon, R, Chen, C, Chen, CY, Chen, KH, Chen, J, Chen, Q, Chen, WH, Chen, YP, Chethana, KWT, Coleine, C, Condé, TO, Corazon-Guivin, MA, Cortés-Pérez, A, Costa-Rezende, DH, Courtecuisse, R, Crouch, JA, Crous, PW, Cui, BK, Cui, YY, da Silva, DKA, da Silva, GA, da Silva, IR, da Silva, RMF, da Silva Santos, AC, Dai, DQ, Dai, YC, Damm, U, Darmostuk, V, Daroodi, Zoha, Das, K, Davoodian, N, Davydov, EA, Dayarathne, MC, Decock, C, de Groot, MD, De Kesel, A, dela Cruz, TEE, De Lange, R, Delgado, G, Denchev, CM, Denchev, TT, de Oliveira, NT, de Silva, NI, de Souza, FA, Dentinger, B, Devadatha, B, Dianese, JC, Dima, B, Diniz, AG, Dissanayake, AJ, Dissanayake, LS, Doğan, HH, Doilom, M, Dolatabadi, S, Dong, W, Dong, ZY, Dos Santos, LA, Drechsler-Santos, ER, Du, TY, Dubey, MK, Dutta, AK, Egidi, E, Elliott, TF, Elshahed, MS, Erdoğdu, M, Ertz, D, Etayo, J, Evans, HC, Fan, XL, Fan, YG, Fedosova, AG, Fell, J, Fernandes, I, Firmino, AL, Fiuza, PO, Flakus, A, Fragoso de Souza, CA, Frisvad, JC, Fryar, SC, Gabaldón, T, Gajanayake, AJ, Galindo, LJ, Gannibal, PB, García, D, García-Sandoval, SR, Garrido-Benavent, I, Garzoli, L, Gautam, AK, Ge, ZW, Gené, DJ, Gentekaki, E, Ghobad-Nejhad, M, Giachini, AJ, Gibertoni, TB, Góes-Neto, A, Gomdola, D, Gomes de Farias, AR, Gorjón, SP, Goto, BT, Granados-Montero, MM, Griffith, GW, Groenewald, JZ, Groenewald, M, Grossart, HP, Gueidan, C, Gunarathne, A, Gunaseelan, S, Gusmão, LFP, Gutierrez, AC, Guzmán-Dávalos, L, Haelewaters, D, Halling, R, Han, YF, Hapuarachchi, KK, Harder, CB, Harrington, TC, Hattori, T, He, MQ, He, S, He, SH, Healy, R, Herández-Restrepo, M, Heredia, G, Hodge, KT, Holgado-Rojas, M, Hongsanan, S, Horak, E, Hosoya, T, Houbraken, J, Huang, SK, Huanraluek, N, Hur, JS, Hurdeal, VG, Hustad, VP, Iotti, M, Iturriaga, T, Jafar, E, Janik, P, Jayalal, RGU, Jayasiri, SC, Jayawardena, RS, Jeewon, R, Jerônimo, GH, Jesus, AL, Jin, J, Johnston, PR, Jones, EBG, Joshi, Y, Justo, A, Kaishian, P, Kakishima, M, Kaliyaperumal, M, Kang, GP, Kang, JC, Karimi, O, Karpov, SA, Karunarathna, SC, Kaufmann, M, Kemler, M, Kezo, K, Khyaju, S, Kirchmair, M, Kirk, PM, Kitaura, MJ, Klawonn, I, Kolarik, M, Kong, A, Kuhar, F, Kukwa, M, Kumar, S, Kušan, I, Lado, C, Larsson, KH, Latha, KPD, Lee, HB, Leonardi, M, Leontyev, DL, Lestari, AS, Li, CJY, Li, DW, Li, H, Li, HY, Li, L, Li, QR, Li, WL, Li, Y, Li, YC, Liao, CF, Liimatainen, K, Lim, YW, Lin, CG, Linaldeddu, BT, Linde, CC, Linn, MM, Liu, F, Liu, JK, Liu, NG, Liu, S, Liu, SL, Liu, XF, Liu, XY, Liu, XZ, Liu, ZB, Lu, L, Lu, YZ, Luangharn, T, Luangsaard, JJ, Lumbsch, HT, Lumyong, S, Luo, L, Luo, M, Luo, ZL, Ma, J, Machado, AR, Madagammana, AD, Madrid, H, Magurno, F, Magyar, D, Mahadevan, N, Maharachchikumbura, SSN, Maimaiti, Y, Malosso, E, Manamgoda, DS, Manawasinghe, IS, Mapook, A, Marasinghe, DS, Mardones, M, Marin-Felix, Y, Márquez, R, Masigol, H, Matočec, N, May, T, McKenzie, EHC, Meiras-Ottoni, A, Melo, RFR, Mendes, ARL, Mendieta, S, Meng, QF, Menkis, A, Menolli Jr, N, Mešić, A, Meza Calvo, JG, Mikhailov, KV, Miller, SL, Moncada, B, Moncalvo, JM, Monteiro, JS, Monteiro, M, Mora-Montes, HM, Moreau, PA, Mueller, GM, Mukhopadyay, S, Murugadoss, R, Nagy, LG, Najafiniya, M, Nanayakkara, CM, Nascimento, CC, Nei, Y, Neves, MA, Neuhauser, S, Niego, AGT, Nilsson, RH, Niskanen, T, Niveiro, N, Noorabadi, MT, Noordeloos, (Machiel E.), Norphanphoun, C, Nuñez Otaño, NB, O’Donnell, RP, Oehl, F, Olariaga, I, Orlando, FP, Pang, KL, Papp, V, Pawłowska, J, Peintner, U, Pem, D, Pereira, OL, Perera, RH, Perez-Moreno, J, Perez-Ortega, S, Péter, G, Phillips, AJL, Phonemany, M, Phukhamsakda, C, Phutthacharoen, K, Piepenbring, M, Pires-Zottarelli, CLA, Poinar, G, Pošta, A, Prieto, M, Promputtha, I, Quandt, CA, Radek, R, Rahnama, K, Raj, KNA, Rajeshkumar, KC, Rämä, T, Rambold, G, Ramírez-Cruz, V, Rasconi, S, Rathnayaka, AR, Raza, M, Ren, GC, Robledo, GL, Rodriguez-Flakus, P, Ronikier, A, Rossi, W, Ryberg, M, Ryvarden, LR, Salvador‑Montoya, CA, Samant, B, Samarakoon, BC, Samarakoon, MC, Sánchez-Castro, I, Sánchez-García, M, Sandoval-Denis, M, Santiago, ALCMA, Santamaria, B, Santos, ACS, Sarma, VV, Savchenko, A, Savchenko, K, Saxena, RK, Scholler, M, Schoutteten, N, Seifollahi, E, Selbmann, L, Selcuk, F, Senanayake, IC, Shabashova, TG, Shen, HW, Shen, YM, SilvaFilho, AGS, Simmons, DR, Singh, R, Sir, EB, Song, Chang-Ge, Souza-Motta, CM, Sruthi, OP, Stadler, M, Stchigel, AM, Stemler, J, Stephenson, SL, Strassert, JFH, Su, HL, Su, L, Suetrong, S, Sulistyo, B, Sun, YF, Sun, YR, Svantesson, Sten, Sysouphanthong, P, Takamatsu, S, Tan, TH, Tanaka, K, Tang, AMC, Tang, X, Tanney, JB, Tavakol, NM, Taylor, JE, Taylor, PWJ, Tedersoo, L, Tennakoon, DS, Thamodini, GK, Thines, M, Thiyagaraja, V, Thongklang, N, Tiago, PV, Tian, Q, Tian, WH, Tibell, L, Tibell, S, Tibpromma, S, Tkalčec, Z, Tomšovský, M, Toome-Heller, M, Torruella, G, Tsurykau, A, Udayanga, D, Ulukapi, M, Untereiner, WA, Uzunov, BA, Valle, LG, Van Caenegem, W, Van den Wyngaert, S, Van Vooren, N, Velez, P, Verma, RK, Vieira, LC, Vieira, WAS, Vizzini, A, Walker, A, Walker, AK, Wanasinghe, DN, Wang, CG, Wang, K, Wang, SX, Wang, XY, Wang, Y, Wannasawang, N, Wartchow, F, Wei, DP, Wei, XL, White, JF, Wijayawardene, NN, Wijesinghe, SN, Wijesundara, DSA, Wisitrassameewong, K, Worthy, FR, Wu, F, Wu, G, Wu, HX, Wu, N, Wu, WP, Wurzbacher, C, Xiao, YP, Xiong, YR, Xu, LJ, Xu, R, Xu, RF, Xu, RJ, Xu, TM, Yakovchenko, L, Yan, JY, Yang, H, Yang, J, Yang, ZL, Yang, YH, Yapa, N, Yasanthika, E, Youssef, NH, Yu, FM, Yu, Q, Yu, YX, Yu, ZF, Yuan, HS, Yuan, Y, Yurkov, A, Zafari, D, Zamora, JC, Zare, R, Zeng, M, Zeng, NK, Zeng, XY, Zhang, F, Zhang, H, Zhang, JF, Zhang, JY, Zhang, QY, Zhang, SN, Zhang, W, Zhang, Y, Zhang, YX, Zhao, CL, Zhao, H, Zhao, Q, Zhao, RL, Zhou, LW, Zhou, M, Zhurbenko, MP, Zin, HH, and Zucconi, L
Abstract: The Global Consortium for the Classification of Fungi and fungus-like taxa is an international initiative of more than 550 mycologists to develop an electronic structure for the classification of these organisms. The members of the Consortium originate from 55 countries/regions worldwide, from a wide range of disciplines, and include senior, mid-career and early-career mycologists and plant pathologists. The Consortium will publish a biannual update of the Outline of Fungi and funguslike taxa, to act as an international scheme for other scientists. Notes on all newly published taxa at or above the level of species will be prepared and published online on the Outline of Fungi website (https://www.outlineoffungi.org/), and these will be finally published in the biannual edition of the Outline of Fungi and fungus-like taxa. Comments on recent important taxonomic opinions on controversial topics will be included in the biannual outline. For example, ‘to promote a more stable taxonomy in Fusarium given the divergences over its generic delimitation’, or ‘are there too many genera in the Boletales?’ and even more importantly, ‘what should be done with the tremendously diverse ‘dark fungal taxa?’ There are undeniable differences in mycologists’ perceptions and opinions regarding species classification as well as the establishment of new species. Given the pluralistic nature of fungal taxonomy and its implications for species concepts and the nature of species, this consortium aims to provide a platform to better refine and stabilise fungal classification, taking into consideration views from different parties. In the future, a confidential voting system will be set up to gauge the opinions of all mycologists in the Consortium on important topics. The results of such surveys will be presented to the International Commission on the Taxonomy of Fungi (ICTF) and the Nomenclature Committee for Fungi (NCF) with opinions and percentages of votes for and against. Criticisms based o
Published: 2023
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4. Global consortium for the classification of fungi and fungus-like taxa

Author: Hyde, K. D., Abdel-Wahab, M. A., Abdollahzadeh, J., Abeywickrama, P. D., Absalan, S., Afshari, N., Ainsworth, A. M., Akulov, O. Y., Aleoshin, V. V., Al-Sadi, A. M., Alvarado, P., Alves, A., Alves-Silva, G., Amalfi, M., Amira, Y., Amuhenage, T. B., Anderson, J. L., Antonín, V., Aouali, S., Aptroot, A., Apurillo, C. C. S., Araújo, J. P.M., Ariyawansa, H. A., Armand, A., Arumugam, E., Asghari, R., Assis, D. M.A., Atienza, V., Avasthi, S., Azevedo, E., Bahkali, A. H., Bakhshi, M., Banihashemi, Z., Bao, D. F., Baral, H. O., Barata, M., Barbosa, F. R., Barbosa, R. N., Barreto, R. W., Baschien, C., Belamesiatseva, D. B., Reuel, M. Bennett, Bera, I., Bezerra, J. D. P., Bezerra, J. L., Bhat, D. J., Bhunjun, C. S., Bianchinotti, M. V., Błaszkowski, J., Blondelle, A., Boekhout, T., Bonito, G., Boonmee, S., Boonyuen, N., Bregant, C., Buchanan, P., Bundhun, D., Burgaud, G., Burgess, T., Buyck, B., Cabarroi-Hernández, M., Cáceres, M. E. S., Caeiro, M. F., Cai, L., Cai, M. F., Calabon, M. S., Calaça, F. J. S., Callalli, M., Camara, M. P. S., Cano-Lira, J. F., Cantillo, T., Cao, B., Carlavilla, J. R., Carvalho, A., Castañeda-Ruiz, R. F., Castlebury, L., Castro-Jauregui, O., Catania, M. D., Cavalcanti, L. H., Cazabonne, J., Cedeño-Sanchez, M. L., Chaharmiri-Dokhaharani, S., Chaiwan, N., Chakraborty, N., Chaverri, P., Cheewangkoon, R., Chen, C., Chen, C. Y., Chen, K. H., Chen, J., Chen, Q., Chen, W. H., Chen, Y. P., Chethana, K. W. T., Coleine, C., Condé, T. O., Corazon-Guivin, M. A., Cortés-Pérez, A., Costa-Rezende, D. H., Courtecuisse, R., Crouch, J. A., Crous, P. W., Cui, B. K., Cui, Y. Y., da Silva, D. K. A., da Silva, G. A., da Silva, I. R., da Silva, R. M. F., da Silva Santos, A. C., Dai, D. Q., Dai, Y. C., Damm, U., Darmostuk, V., Zoha, Daroodi, Das, K., Davoodian, N., Davydov, E. A., Dayarathne, M. C., Decock, C., de Groot, M. D., De Kesel, A., de la Cruz, T. E. E., De Lange, R., Delgado, G., Denchev, C. M., Denchev, T. T., de Oliveira, N. T., de Silva, N. I., de Souza, F. A., Dentinger, B., Devadatha, B., Dianese, J. C., Dima, B., Diniz, A. G., Dissanayake, A. J., Dissanayake, L. S., Doğan, H. H., Doilom, M., Dolatabadi, S., Dong, W., Dong, Z. Y., Dos Santos, L. A., Drechsler-Santos, E. R., Du, T. Y., Dubey, M. K., Dutta, A. K., Egidi, E., Elliott, T. F., Elshahed, M. S., Erdoğdu, M., Ertz, D., Etayo, J., Evans, H. C., Fan, X. L., Fan, Y. G., Fedosova, A. G., Fell, J., Fernandes, I., Firmino, A. L., Fiuza, P. O., Flakus, A., de Souza, C. A.Fragoso, Frisvad, J. C., Fryar, S. C., Gabaldón, T., Gajanayake, A. J., Galindo, L. J., Gannibal, P. B., García, D., García-Sandoval, S. R., Garrido-Benavent, I., Garzoli, L., Gautam, A. K., Ge, Z. W., Gené, D. J., Gentekaki, E., Ghobad-Nejhad, M., Giachini, A. J., Gibertoni, T. B., Góes-Neto, A., Gomdola, D., de Farias, A. R. Gomes, Gorjón, S. P., Goto, B. T., Granados-Montero, M. M., Griffith, G. W., Groenewald, J. Z., Groenewald, M., Grossart, H. P., Gueidan, C., Gunarathne, A., Gunaseelan, S., Gusmão, L. F.P., Gutierrez, A. C., Guzmán-Dávalos, L., Haelewaters, D., Halling, R., Han, Y. F., Hapuarachchi, K. K., Harder, C. B., Harrington, T. C., Hattori, T., He, M. Q., He, S., He, S. H., Healy, R., Herández-Restrepo, M., Heredia, G., Hodge, K. T., Holgado-Rojas, M., Hongsanan, S., Horak, E., Hosoya, T., Houbraken, J., Huang, S. K., Huanraluek, N., Hur, J. S., Hurdeal, V. G., Hustad, V. P., Iotti, M., Iturriaga, T., Jafar, E., Janik, P., Jany, J. L., Jayalal, R. G.U., Jayasiri, S. C., Jayawardena, R. S., Jeewon, R., Jerônimo, G. H., Jesus, A. L., Jin, J., Johnston, P. R., Jones, E. B.G., Joshi, Y., Justo, A., Kaishian, P., Kakishima, M., Kaliyaperumal, M., Kang, G. P., Kang, J. C., Karakehian, J. M., Karimi, O., Karpov, S. A., Karunarathna, S. C., Kaufmann, M., Kemler, M., Kezo, K., Khyaju, S., Kirchmair, M., Kirk, P. M., Kitaura, M. J., Klawonn, I., Kolarik, M., Kong, A., Kuhar, F., Kukwa, M., Kumar, S., Kušan, I., Lado, C., Larsson, K. H., Latha, K. P.D., Lee, H. B., Leonardi, M., Leontyev, D. L., Lestari, A. S., Li, C. J.Y., Li, D. W., Li, H. Y., Li, L., Li, Q. R., Li, W. L., Li, Y., Li, Y. C., Liao, C. F., Liimatainen, K., Lim, Y. W., Lin, C. G., Linaldeddu, B. T., Linde, C. C., Linn, M. M., Liu, F., Liu, J. K., Liu, N. G., Liu, S., Liu, X. F., Liu, X. Z., Liu, Z. B., Lu, L., Lu, Y. Z., Luangharn, T., Luangsa-ard, J. J., Lumbsch, H. T., Lumyong, S., Luo, L., Luo, M., Luo, Z. L., Ma, J., Machado, A. R., Madagammana, A. D., Madrid, H., Magurno, F., Magyar, D., Mahadevan, N., Maharachchikumbura, S. S.N., Maimaiti, Y., Malosso, E., Manamgoda, D. S., Manawasinghe, I. S., Mapook, A., Marasinghe, D. S., Mardones, M., Marin-Felix, Y., Márquez, R., Masigol, H., Matočec, N., May, T. W., McKenzie, E. H.C., Meiras-Ottoni, A., Melo, R. F.R., Mendes-Alvarenga, R. L., Mendieta, S., Meng, Q. F., Menkis, A., Menolli, N., Mešić, A., Calvo, J. G.Meza, Mikhailov, K. V., Miller, S. L., Moncada, B., Moncalvo, J. M., Monteiro, J. S., Monteiro, M., Mora-Montes, H. M., Moreau, P. A., Mueller, G. M., Mukhopadyay, S., Murugadoss, R., Nagy, L. G., Najafiniya, M., Nanayakkara, C. M., Nascimento, C. C., Nei, Y., Neves, M. A., Neuhauser, S., Niego, A. G.T., Nilsson, R. H., Niskanen, T., Niveiro, N., Noorabadi, M. T., Noordeloos, M. E., Norphanphoun, C., Otaño, N. B.Nuñez, O’Donnell, R. P., Oehl, F., Olariaga, I., Orlando, O. P., Pang, K. L., Papp, V., Pawłowska, J., Peintner, U., Pem, D., Pereira, O. L., Perera, R. H., Perez-Moreno, J., Perez-Ortega, S., Péter, G., Phillips, A. J.L., Phonemany, M., Phukhamsakda, C., Phutthacharoen, K., Piepenbring, M., Pires-Zottarelli, C. L.A., Poinar, G., Pošta, A., Prieto, M., Promputtha, I., Quandt, C. A., Radek, R., Rahnama, K., Raj, K. N.A., Rajeshkumar, K. C., Rämä, T., Rambold, G., Ramírez-Cruz, V., Rasconi, S., Rathnayaka, A. R., Raza, M., Ren, G. C., Robledo, G. L., Rodriguez-Flakus, P., Ronikier, A., Rossi, W., Ryberg, M., Ryvarden, L. R., Salvador-Montoya, C. A., Samant, B., Samarakoon, B. C., Samarakoon, M. C., Sánchez-Castro, I., Sánchez-García, M., Sandoval-Denis, M., Santamaria, B., Santiago, A. L.C.M.A., Sarma, V. V., Savchenko, A., Savchenko, K., Saxena, R. K., Scholler, M., Schoutteten, N., Seifollahi, E., Selbmann, L., Selcuk, F., Senanayake, I. C., Shabashova, T. G., Shen, H. W., Shen, Y. M., Silva-Filho, A. G.S., Simmons, D. R., Singh, R., Sir, E. B., Song, C. G., Souza-Motta, C. M., Sruthi, O. P., Stadler, M., Stchigel, A. M., Stemler, J., Stephenson, S. L., Strassert, J. F.H., Su, H. L., Su, L., Suetrong, S., Sulistyo, B., Sun, Y. R., Svantesson, S., Sysouphanthong, P., Takamatsu, S., Tan, T. H., Tanaka, K., Tang, A. M.C., Tang, X., Tanney, J. B., Tavakol, N. M., Taylor, J. E., Taylor, P. W.J., Tedersoo, L., Tennakoon, D. S., Thamodini, G. K., Thines, M., Thiyagaraja, V., Thongklang, N., Tiago, P. V., Tian, Q., Tian, W. H., Tibell, L., Tibell, S., Tibpromma, S., Tkalčec, Z., Tomšovský, M., Toome-Heller, M., Torruella, G., Tsurykau, A., Udayanga, D., Ulukapi, M., Untereiner, W. A., Uzunov, B. A., Valle, L. G., Van Caenegem, W., Van den Wyngaert, S., Van Vooren, N., Velez, P., Verma, R. K., Vieira, L. C., Vieira, W. A.S., Vizzini, A., Walker, A., Walker, A. K., Wanasinghe, D. N., Wang, C. G., Wang, K., Wang, S. X., Wang, X. Y., Wang, Y., Wannasawang, N., Wartchow, F., Wei, D. P., Wei, X. L., White, J. F., Wijayawardene, N. N., Wijesinghe, S. N., Wijesundara, D. S.A., Wisitrassameewong, K., Worthy, F. R., Wu, F., Wu, G., Wu, H. X., Wu, N., Wu, W. P., Wurzbacher, C., Xiao, Y. P., Xiong, Y. R., Xu, B., Xu, L. J., Xu, R., Xu, T. M., Yakovchenko, L., Yan, J. Y., Yang, H. D., Yang, J., Yang, Z. L., Yang, Y. H., Yapa, N., Yasanthika, E., Youssef, N. H., Yu, F. M., Yu, Q., Yu, X. D., Yu, Y. X., Yu, Z. F., Yuan, H. S., Yuan, Y., Yurkov, A., Zafari, D., Zamora, J. C., Zare, R., Zeng, M., Zeng, N. K., Zeng, X. Y., Zhang, F., Zhang, H., Zhang, J. F., Zhang, J. Y., Zhang, Q. Y., Zhang, S. N., Zhang, W., Zhang, Y., Zhao, C. L., Zhao, H., Zhao, Q., Zhao, R. L., Zhou, L. W., Zhou, M., Zhurbenko, M. P., Zin, H. H., Zucconi, L., Hyde, K. D., Abdel-Wahab, M. A., Abdollahzadeh, J., Abeywickrama, P. D., Absalan, S., Afshari, N., Ainsworth, A. M., Akulov, O. Y., Aleoshin, V. V., Al-Sadi, A. M., Alvarado, P., Alves, A., Alves-Silva, G., Amalfi, M., Amira, Y., Amuhenage, T. B., Anderson, J. L., Antonín, V., Aouali, S., Aptroot, A., Apurillo, C. C. S., Araújo, J. P.M., Ariyawansa, H. A., Armand, A., Arumugam, E., Asghari, R., Assis, D. M.A., Atienza, V., Avasthi, S., Azevedo, E., Bahkali, A. H., Bakhshi, M., Banihashemi, Z., Bao, D. F., Baral, H. O., Barata, M., Barbosa, F. R., Barbosa, R. N., Barreto, R. W., Baschien, C., Belamesiatseva, D. B., Reuel, M. Bennett, Bera, I., Bezerra, J. D. P., Bezerra, J. L., Bhat, D. J., Bhunjun, C. S., Bianchinotti, M. V., Błaszkowski, J., Blondelle, A., Boekhout, T., Bonito, G., Boonmee, S., Boonyuen, N., Bregant, C., Buchanan, P., Bundhun, D., Burgaud, G., Burgess, T., Buyck, B., Cabarroi-Hernández, M., Cáceres, M. E. S., Caeiro, M. F., Cai, L., Cai, M. F., Calabon, M. S., Calaça, F. J. S., Callalli, M., Camara, M. P. S., Cano-Lira, J. F., Cantillo, T., Cao, B., Carlavilla, J. R., Carvalho, A., Castañeda-Ruiz, R. F., Castlebury, L., Castro-Jauregui, O., Catania, M. D., Cavalcanti, L. H., Cazabonne, J., Cedeño-Sanchez, M. L., Chaharmiri-Dokhaharani, S., Chaiwan, N., Chakraborty, N., Chaverri, P., Cheewangkoon, R., Chen, C., Chen, C. Y., Chen, K. H., Chen, J., Chen, Q., Chen, W. H., Chen, Y. P., Chethana, K. W. T., Coleine, C., Condé, T. O., Corazon-Guivin, M. A., Cortés-Pérez, A., Costa-Rezende, D. H., Courtecuisse, R., Crouch, J. A., Crous, P. W., Cui, B. K., Cui, Y. Y., da Silva, D. K. A., da Silva, G. A., da Silva, I. R., da Silva, R. M. F., da Silva Santos, A. C., Dai, D. Q., Dai, Y. C., Damm, U., Darmostuk, V., Zoha, Daroodi, Das, K., Davoodian, N., Davydov, E. A., Dayarathne, M. C., Decock, C., de Groot, M. D., De Kesel, A., de la Cruz, T. E. E., De Lange, R., Delgado, G., Denchev, C. M., Denchev, T. T., de Oliveira, N. T., de Silva, N. I., de Souza, F. A., Dentinger, B., Devadatha, B., Dianese, J. C., Dima, B., Diniz, A. G., Dissanayake, A. J., Dissanayake, L. S., Doğan, H. H., Doilom, M., Dolatabadi, S., Dong, W., Dong, Z. Y., Dos Santos, L. A., Drechsler-Santos, E. R., Du, T. Y., Dubey, M. K., Dutta, A. K., Egidi, E., Elliott, T. F., Elshahed, M. S., Erdoğdu, M., Ertz, D., Etayo, J., Evans, H. C., Fan, X. L., Fan, Y. G., Fedosova, A. G., Fell, J., Fernandes, I., Firmino, A. L., Fiuza, P. O., Flakus, A., de Souza, C. A.Fragoso, Frisvad, J. C., Fryar, S. C., Gabaldón, T., Gajanayake, A. J., Galindo, L. J., Gannibal, P. B., García, D., García-Sandoval, S. R., Garrido-Benavent, I., Garzoli, L., Gautam, A. K., Ge, Z. W., Gené, D. J., Gentekaki, E., Ghobad-Nejhad, M., Giachini, A. J., Gibertoni, T. B., Góes-Neto, A., Gomdola, D., de Farias, A. R. Gomes, Gorjón, S. P., Goto, B. T., Granados-Montero, M. M., Griffith, G. W., Groenewald, J. Z., Groenewald, M., Grossart, H. P., Gueidan, C., Gunarathne, A., Gunaseelan, S., Gusmão, L. F.P., Gutierrez, A. C., Guzmán-Dávalos, L., Haelewaters, D., Halling, R., Han, Y. F., Hapuarachchi, K. K., Harder, C. B., Harrington, T. C., Hattori, T., He, M. Q., He, S., He, S. H., Healy, R., Herández-Restrepo, M., Heredia, G., Hodge, K. T., Holgado-Rojas, M., Hongsanan, S., Horak, E., Hosoya, T., Houbraken, J., Huang, S. K., Huanraluek, N., Hur, J. S., Hurdeal, V. G., Hustad, V. P., Iotti, M., Iturriaga, T., Jafar, E., Janik, P., Jany, J. L., Jayalal, R. G.U., Jayasiri, S. C., Jayawardena, R. S., Jeewon, R., Jerônimo, G. H., Jesus, A. L., Jin, J., Johnston, P. R., Jones, E. B.G., Joshi, Y., Justo, A., Kaishian, P., Kakishima, M., Kaliyaperumal, M., Kang, G. P., Kang, J. C., Karakehian, J. M., Karimi, O., Karpov, S. A., Karunarathna, S. C., Kaufmann, M., Kemler, M., Kezo, K., Khyaju, S., Kirchmair, M., Kirk, P. M., Kitaura, M. J., Klawonn, I., Kolarik, M., Kong, A., Kuhar, F., Kukwa, M., Kumar, S., Kušan, I., Lado, C., Larsson, K. H., Latha, K. P.D., Lee, H. B., Leonardi, M., Leontyev, D. L., Lestari, A. S., Li, C. J.Y., Li, D. W., Li, H. Y., Li, L., Li, Q. R., Li, W. L., Li, Y., Li, Y. C., Liao, C. F., Liimatainen, K., Lim, Y. W., Lin, C. G., Linaldeddu, B. T., Linde, C. C., Linn, M. M., Liu, F., Liu, J. K., Liu, N. G., Liu, S., Liu, X. F., Liu, X. Z., Liu, Z. B., Lu, L., Lu, Y. Z., Luangharn, T., Luangsa-ard, J. J., Lumbsch, H. T., Lumyong, S., Luo, L., Luo, M., Luo, Z. L., Ma, J., Machado, A. R., Madagammana, A. D., Madrid, H., Magurno, F., Magyar, D., Mahadevan, N., Maharachchikumbura, S. S.N., Maimaiti, Y., Malosso, E., Manamgoda, D. S., Manawasinghe, I. S., Mapook, A., Marasinghe, D. S., Mardones, M., Marin-Felix, Y., Márquez, R., Masigol, H., Matočec, N., May, T. W., McKenzie, E. H.C., Meiras-Ottoni, A., Melo, R. F.R., Mendes-Alvarenga, R. L., Mendieta, S., Meng, Q. F., Menkis, A., Menolli, N., Mešić, A., Calvo, J. G.Meza, Mikhailov, K. V., Miller, S. L., Moncada, B., Moncalvo, J. M., Monteiro, J. S., Monteiro, M., Mora-Montes, H. M., Moreau, P. A., Mueller, G. M., Mukhopadyay, S., Murugadoss, R., Nagy, L. G., Najafiniya, M., Nanayakkara, C. M., Nascimento, C. C., Nei, Y., Neves, M. A., Neuhauser, S., Niego, A. G.T., Nilsson, R. H., Niskanen, T., Niveiro, N., Noorabadi, M. T., Noordeloos, M. E., Norphanphoun, C., Otaño, N. B.Nuñez, O’Donnell, R. P., Oehl, F., Olariaga, I., Orlando, O. P., Pang, K. L., Papp, V., Pawłowska, J., Peintner, U., Pem, D., Pereira, O. L., Perera, R. H., Perez-Moreno, J., Perez-Ortega, S., Péter, G., Phillips, A. J.L., Phonemany, M., Phukhamsakda, C., Phutthacharoen, K., Piepenbring, M., Pires-Zottarelli, C. L.A., Poinar, G., Pošta, A., Prieto, M., Promputtha, I., Quandt, C. A., Radek, R., Rahnama, K., Raj, K. N.A., Rajeshkumar, K. C., Rämä, T., Rambold, G., Ramírez-Cruz, V., Rasconi, S., Rathnayaka, A. R., Raza, M., Ren, G. C., Robledo, G. L., Rodriguez-Flakus, P., Ronikier, A., Rossi, W., Ryberg, M., Ryvarden, L. R., Salvador-Montoya, C. A., Samant, B., Samarakoon, B. C., Samarakoon, M. C., Sánchez-Castro, I., Sánchez-García, M., Sandoval-Denis, M., Santamaria, B., Santiago, A. L.C.M.A., Sarma, V. V., Savchenko, A., Savchenko, K., Saxena, R. K., Scholler, M., Schoutteten, N., Seifollahi, E., Selbmann, L., Selcuk, F., Senanayake, I. C., Shabashova, T. G., Shen, H. W., Shen, Y. M., Silva-Filho, A. G.S., Simmons, D. R., Singh, R., Sir, E. B., Song, C. G., Souza-Motta, C. M., Sruthi, O. P., Stadler, M., Stchigel, A. M., Stemler, J., Stephenson, S. L., Strassert, J. F.H., Su, H. L., Su, L., Suetrong, S., Sulistyo, B., Sun, Y. R., Svantesson, S., Sysouphanthong, P., Takamatsu, S., Tan, T. H., Tanaka, K., Tang, A. M.C., Tang, X., Tanney, J. B., Tavakol, N. M., Taylor, J. E., Taylor, P. W.J., Tedersoo, L., Tennakoon, D. S., Thamodini, G. K., Thines, M., Thiyagaraja, V., Thongklang, N., Tiago, P. V., Tian, Q., Tian, W. H., Tibell, L., Tibell, S., Tibpromma, S., Tkalčec, Z., Tomšovský, M., Toome-Heller, M., Torruella, G., Tsurykau, A., Udayanga, D., Ulukapi, M., Untereiner, W. A., Uzunov, B. A., Valle, L. G., Van Caenegem, W., Van den Wyngaert, S., Van Vooren, N., Velez, P., Verma, R. K., Vieira, L. C., Vieira, W. A.S., Vizzini, A., Walker, A., Walker, A. K., Wanasinghe, D. N., Wang, C. G., Wang, K., Wang, S. X., Wang, X. Y., Wang, Y., Wannasawang, N., Wartchow, F., Wei, D. P., Wei, X. L., White, J. F., Wijayawardene, N. N., Wijesinghe, S. N., Wijesundara, D. S.A., Wisitrassameewong, K., Worthy, F. R., Wu, F., Wu, G., Wu, H. X., Wu, N., Wu, W. P., Wurzbacher, C., Xiao, Y. P., Xiong, Y. R., Xu, B., Xu, L. J., Xu, R., Xu, T. M., Yakovchenko, L., Yan, J. Y., Yang, H. D., Yang, J., Yang, Z. L., Yang, Y. H., Yapa, N., Yasanthika, E., Youssef, N. H., Yu, F. M., Yu, Q., Yu, X. D., Yu, Y. X., Yu, Z. F., Yuan, H. S., Yuan, Y., Yurkov, A., Zafari, D., Zamora, J. C., Zare, R., Zeng, M., Zeng, N. K., Zeng, X. Y., Zhang, F., Zhang, H., Zhang, J. F., Zhang, J. Y., Zhang, Q. Y., Zhang, S. N., Zhang, W., Zhang, Y., Zhao, C. L., Zhao, H., Zhao, Q., Zhao, R. L., Zhou, L. W., Zhou, M., Zhurbenko, M. P., Zin, H. H., and Zucconi, L.
Abstract: The Global Consortium for the Classification of Fungi and fungus-like taxa is an international initiative of more than 550 mycologists to develop an electronic structure for the classification of these organisms. The members of the Consortium originate from 55 countries/regions worldwide, from a wide range of disciplines, and include senior, mid-career and early-career mycologists and plant pathologists. The Consortium will publish a biannual update of the Outline of Fungi and fungus-like taxa, to act as an international scheme for other scientists. Notes on all newly published taxa at or above the level of species will be prepared and published online on the Outline of Fungi website (https://www.outlineoffungi.org/), and these will be finally published in the biannual edition of the Outline of Fungi and fungus-like taxa. Comments on recent important taxonomic opinions on controversial topics will be included in the biannual outline. For example, 'to promote a more stable taxonomy in Fusarium given the divergences over its generic delimitation', or 'are there too many genera in the Boletales?' and even more importantly, 'what should be done with the tremendously diverse 'dark fungal taxa?' There are undeniable differences in mycologists' perceptions and opinions regarding species classification as well as the establishment of new species. Given the pluralistic nature of fungal taxonomy and its implications for species concepts and the nature of species, this consortium aims to provide a platform to better refine and stabilise fungal classification, taking into consideration views from different parties. In the future, a confidential voting system will be set up to gauge the opinions of all mycologists in the Consortium on important topics. The results of such surveys will be presented to the International Commission on the Taxonomy of Fungi (ICTF) and the Nomenclature Committee
Published: 2023

5. Scientists’ Warning to Humanity: Rapid degradation of the world's large lakes

Author: Jenny, J, Anneville, O, Arnaud, F, Baulaz, Y, Bouffard, D, Domaizon, I, Bocaniov, S, Chevre, N, Dittrich, M, Dorioz, J, Dunlop, E, Dur, G, Guillard, J, Guinaldo, T, Jacquet, S, Jamoneau, A, Jawed, Z, Jeppesen, E, Krantzberg, G, Lenters, J, Leoni, B, Meybeck, M, Nava, V, Noges, T, Noges, P, Patelli, M, Pebbles, V, Perga, M, Rasconi, S, Ruetz, C, Rudstam, L, Salmaso, N, Sapna, S, Straile, D, Tammeorg, O, Twiss, M, Uzarski, D, Ventela, A, Vincent, W, Wilhelm, S, Wangberg, S, Weyhenmeyer, G, Jenny J. -P., Anneville O., Arnaud F., Baulaz Y., Bouffard D., Domaizon I., Bocaniov S. A., Chevre N., Dittrich M., Dorioz J. -M., Dunlop E. S., Dur G., Guillard J., Guinaldo T., Jacquet S., Jamoneau A., Jawed Z., Jeppesen E., Krantzberg G., Lenters J., Leoni B., Meybeck M., Nava V., Noges T., Noges P., Patelli M., Pebbles V., Perga M. -E., Rasconi S., Ruetz C. R., Rudstam L., Salmaso N., Sapna S., Straile D., Tammeorg O., Twiss M. R., Uzarski D. G., Ventela A. -M., Vincent W. F., Wilhelm S. W., Wangberg S. -A., Weyhenmeyer G. A., Jenny, J, Anneville, O, Arnaud, F, Baulaz, Y, Bouffard, D, Domaizon, I, Bocaniov, S, Chevre, N, Dittrich, M, Dorioz, J, Dunlop, E, Dur, G, Guillard, J, Guinaldo, T, Jacquet, S, Jamoneau, A, Jawed, Z, Jeppesen, E, Krantzberg, G, Lenters, J, Leoni, B, Meybeck, M, Nava, V, Noges, T, Noges, P, Patelli, M, Pebbles, V, Perga, M, Rasconi, S, Ruetz, C, Rudstam, L, Salmaso, N, Sapna, S, Straile, D, Tammeorg, O, Twiss, M, Uzarski, D, Ventela, A, Vincent, W, Wilhelm, S, Wangberg, S, Weyhenmeyer, G, Jenny J. -P., Anneville O., Arnaud F., Baulaz Y., Bouffard D., Domaizon I., Bocaniov S. A., Chevre N., Dittrich M., Dorioz J. -M., Dunlop E. S., Dur G., Guillard J., Guinaldo T., Jacquet S., Jamoneau A., Jawed Z., Jeppesen E., Krantzberg G., Lenters J., Leoni B., Meybeck M., Nava V., Noges T., Noges P., Patelli M., Pebbles V., Perga M. -E., Rasconi S., Ruetz C. R., Rudstam L., Salmaso N., Sapna S., Straile D., Tammeorg O., Twiss M. R., Uzarski D. G., Ventela A. -M., Vincent W. F., Wilhelm S. W., Wangberg S. -A., and Weyhenmeyer G. A.
Abstract: Large lakes of the world are habitats for diverse species, including endemic taxa, and are valuable resources that provide humanity with many ecosystem services. They are also sentinels of global and local change, and recent studies in limnology and paleolimnology have demonstrated disturbing evidence of their collective degradation in terms of depletion of resources (water and food), rapid warming and loss of ice, destruction of habitats and ecosystems, loss of species, and accelerating pollution. Large lakes are particularly exposed to anthropogenic and climatic stressors. The Second Warning to Humanity provides a framework to assess the dangers now threatening the world's large lake ecosystems and to evaluate pathways of sustainable development that are more respectful of their ongoing provision of services. Here we review current and emerging threats to the large lakes of the world, including iconic examples of lake management failures and successes, from which we identify priorities and approaches for future conservation efforts. The review underscores the extent of lake resource degradation, which is a result of cumulative perturbation through time by long-term human impacts combined with other emerging stressors. Decades of degradation of large lakes have resulted in major challenges for restoration and management and a legacy of ecological and economic costs for future generations. Large lakes will require more intense conservation efforts in a warmer, increasingly populated world to achieve sustainable, high-quality waters. This Warning to Humanity is also an opportunity to highlight the value of a long-term lake observatory network to monitor and report on environmental changes in large lake ecosystems.
Published: 2020

6. Short-Term Dynamics of Bdellovibrio and Like Organisms in Lake Geneva in Response to a Simulated Climatic Extreme Event

Author: Ezzedine, J. A., primary, Janicot, A., additional, Rasconi, S., additional, Domaizon, I., additional, and Jacquet, S., additional
Published: 2021
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7. Seston Fatty Acid Responses to Physicochemical Changes in Subalpine Lake Lunz, Austria

Author: Rasconi, S., Ptacnik, R., and Kainz, M. J.
Subjects: Abrupt/Rapid Climate Change, seston, mountain lakes, nutritional quality, Responses to Environmental Change in Aquatic Mountain Ecosystems, Food Webs, Structure, and Dynamics, Volcanology, temperature, Biogeosciences, Zooplankton, Food Webs and Trophodynamics, Oceanography: Biological and Chemical, Paleoceanography, Phytoplankton, Volcano/Climate Interactions, Global Change, Research Articles, Research Article
Abstract: Rapid increase in lake temperature can cause a shift toward the dominance of warm temperature tolerant species, including Cyanobacteria that are deficient in polyunsaturated fatty acids (PUFA) supporting consumer growth and reproduction. To increase our understanding of how changes in physicochemical lake parameters affect phytoplankton composition and the provision of dietary quality to consumers in subalpine oligotrophic lakes, we conducted a multiannual study (2013–2015) in the 34‐m‐deep Lake Lunz and investigated interannual changes in (a) water temperature, transparency, and lake inflow; (b) seston (, Key Points We investigated how changes in physicochemical lake parameters affect seston composition and dietary quality in the subalpine Lake LunzSeston taxonomy varied mostly with conductivity and lake transparency as well as lake inflow and days of ice coverThe dietary quality of seston was mainly related to lake physical parameters and the taxonomic composition of phytoplankton
Published: 2018

8. Polyunsaturated fatty acids in fishes increase with total lipids irrespective of feeding sources and trophic position

Author: Kainz, M. J., primary, Hager, H. H., additional, Rasconi, S., additional, Kahilainen, K. K., additional, Amundsen, P.‐A., additional, and Hayden, B., additional
Published: 2017
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9. Polyunsaturated fatty acids in fishes increase with total lipids irrespective of feeding sources and trophic position

Author: University of Helsinki, Department of Environmental Sciences, Kainz, M. J., Hager, H.H., Rasconi, S., Kahilainen, K. K., Amundsen, P. -A., Hayden, B., University of Helsinki, Department of Environmental Sciences, Kainz, M. J., Hager, H.H., Rasconi, S., Kahilainen, K. K., Amundsen, P. -A., and Hayden, B.
Abstract: Trophic transfer and retention of dietary compounds are vital for somatic development, reproduction, and survival of aquatic consumers. In this field study, stable carbon and nitrogen isotopes, and fatty acids (FA) contents in invertebrates and fishes of pre-alpine Lake Lunz, Austria, were used to (1) identify the resource use and trophic level of Arctic charr (Salvelinus alpinus), pike (Esox lucius), perch (Perca fluviatilis), brown trout (Salmo trutta), roach (Rutilus rutilus), and minnow (Phoxinus phoxinus) and (2) examine how polyunsaturated fatty acids (PUFA; i.e., omega-3 and -6 PUFA) are related to total lipid status, littoral-pelagic reliance, and trophic position. Stable isotope data suggest that pike, perch, and minnow derived most of their energy from littoral resources, but minnows differed from pike and perch in their trophic position and PUFA composition. The co-occurrence of cyprinids, percids, and pike segregated these fishes into more lipid-rich (roach, minnow) and lipid-poor (pike, percids) species. Although the relatively lipid-poor pike and percids occupied a higher trophic position than cyprinids, there was a concurrent, total lipid-dependent decline in omega-3 and -6 PUFA in these predatory fishes. Results of this lake food-web study demonstrated that total lipids in fish community, littoral-pelagic reliance, and trophic position explained omega-3 and -6 PUFA in dorsal muscle tissues. Omega-3 and -6 PUFA in these fishes decreased with increasing trophic position, demonstrating that these essential FAs did not biomagnify with increasing trophic level. Finally, this lake food-web study provides evidence of fish community-level relationship between total lipid status and PUFA or stable isotope ratios, whereas the strength of such relationships was less strong at the species level.
Published: 2017

10. Integrating chytrid fungal parasites into plankton ecology: research gaps and needs

Author: Frenken, T., Alacid, E., Berger, S.A., Bourne, E.C., Gerphagnon, M., Grossart, H.-P., Gsell, A.S., Ibelings, B.W., Kagami, M., Küpper, F.C., Letcher, P.M., Loyau, Adeline, Miki, T., Nejstgaard, J.C., Rasconi, S., Reñé, A., Rohrlack, T., Rojas-Jimenez, K., Schmeller, Dirk Sven, Scholz, B., Seto, K., Sime-Ngando, T., Sukenik, A., Van de Waal, D.B., Van den Wyngaert, S., Van Donk, E., Wolinska, J., Wurzbacher, C., Agha, R., Frenken, T., Alacid, E., Berger, S.A., Bourne, E.C., Gerphagnon, M., Grossart, H.-P., Gsell, A.S., Ibelings, B.W., Kagami, M., Küpper, F.C., Letcher, P.M., Loyau, Adeline, Miki, T., Nejstgaard, J.C., Rasconi, S., Reñé, A., Rohrlack, T., Rojas-Jimenez, K., Schmeller, Dirk Sven, Scholz, B., Seto, K., Sime-Ngando, T., Sukenik, A., Van de Waal, D.B., Van den Wyngaert, S., Van Donk, E., Wolinska, J., Wurzbacher, C., and Agha, R.
Abstract: Chytridiomycota, often referred to as chytrids, can be virulent parasites with the potential to inflict mass mortalities on hosts, causing e.g. changes in phytoplankton size distributions and succession, and the delay or suppression of bloom events. Molecular environmental surveys have revealed an unexpectedly large diversity of chytrids across a wide range of aquatic ecosystems worldwide. As a result, scientific interest towards fungal parasites of phytoplankton has been gaining momentum in the past few years. Yet, we still know little about the ecology of chytrids, their life cycles, phylogeny, host specificity and range. Information on the contribution of chytrids to trophic interactions, as well as co-evolutionary feedbacks of fungal parasitism on host populations is also limited. This paper synthesizes ideas stressing the multifaceted biological relevance of phytoplankton chytridiomycosis, resulting from discussions among an international team of chytrid researchers. It presents our view on the most pressing research needs for promoting the integration of chytrid fungi into aquatic ecology.
Published: 2017

11. High Lytic Infection Rates but Low Abundances of Prokaryote Viruses in a Humic Lake (Vassivière, Massif Central, France)

Author: Pradeep Ram, A. S., primary, Rasconi, S., additional, Jobard, M., additional, Palesse, S., additional, Colombet, J., additional, and Sime-Ngando, T., additional
Published: 2011
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12. Parasitic fungi of phytoplankton: ecological roles and implications for microbial food webs

Author: Rasconi, S, primary, Jobard, M, additional, and Sime-Ngando, T, additional
Published: 2011
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13. Scientists’ Warning to Humanity:Rapid degradation of the world's large lakes

Author: Jenny, Jean-Philippe, Anneville, Orlane, Arnaud, Fabien, Baulaz, Yoann, Bouffard, Damien, Domaizon, Isabelle, Bocaniov, Serghei A., Chevre, Nathalie, Dittrich, Maria, Dorioz, Jean-Marcel, Dunlop, Erin S., Dur, Gael, Guillard, Jean, Guinaldo, Thibault, Jacquet, Stephan, Jamoneau, Aurelien, Jawed, Zobia, Jeppesen, Erik, Krantzberg, Gail, Lenters, John, Leoni, Barbara, Meybeck, Michel, Nava, Veronica, Noges, Tiina, Noges, Peeter, Patelli, Martina, Pebbles, Victoria, Perga, Marie-Elodie, Rasconi, Serena, Ruetz, Carl R., Rudstam, Lars, Salmaso, Nico, Sapna, Sharma, Straile, Dietmar, Tammeorg, Olga, Twiss, Michael R., Uzarski, Donald G., Ventela, Anne-Mari, Vincent, Warwick F., Wilhelm, Steven W., Wangberg, Sten-Ake, Weyhenmeyer, Gesa A., Jenny, J, Anneville, O, Arnaud, F, Baulaz, Y, Bouffard, D, Domaizon, I, Bocaniov, S, Chevre, N, Dittrich, M, Dorioz, J, Dunlop, E, Dur, G, Guillard, J, Guinaldo, T, Jacquet, S, Jamoneau, A, Jawed, Z, Jeppesen, E, Krantzberg, G, Lenters, J, Leoni, B, Meybeck, M, Nava, V, Noges, T, Noges, P, Patelli, M, Pebbles, V, Perga, M, Rasconi, S, Ruetz, C, Rudstam, L, Salmaso, N, Sapna, S, Straile, D, Tammeorg, O, Twiss, M, Uzarski, D, Ventela, A, Vincent, W, Wilhelm, S, Wangberg, S, Weyhenmeyer, G, and Faculty of Biological and Environmental Sciences
Subjects: MICROPLASTIC POLLUTION, CLIMATE-CHANGE, SEA-LAMPREY, Large lakes, Second Warning to Humanity, Large lakes, Global change, Biodiversity loss, Ecosystem services, Eutrophication, Eutrophication, ENDOCRINE DISRUPTORS, PERSONAL CARE PRODUCTS, ACIPENSER-FULVESCENS, Biodiversity loss, Ecosystem services, Eutrophication, Global change, Large lakes, Second Warning to Humanity, FRESH-WATER ECOSYSTEMS, Second Warning to Humanity, Biodiversity loss, Ecosystem services, SPATIAL-DISTRIBUTION, LAURENTIAN GREAT-LAKES, Global change, LONG-TERM TRENDS, 1172 Environmental sciences
Abstract: Large lakes of the world are habitats for diverse species, including endemic taxa, and are valuable resources that provide humanity with many ecosystem services. They are also sentinels of global and local change, and recent studies in limnology and paleolimnology have demonstrated disturbing evidence of their collective degradation in terms of depletion of resources (water and food), rapid warming and loss of ice, destruction of habitats and ecosystems, loss of species, and accelerating pollution. Large lakes are particularly exposed to anthropogenic and climatic stressors. The Second Warning to Humanity provides a framework to assess the dangers now threatening the world's large lake ecosystems and to evaluate pathways of sustainable development that are more respectful of their ongoing provision of services. Here we review current and emerging threats to the large lakes of the world, including iconic examples of lake management failures and successes, from which we identify priorities and approaches for future conservation efforts. The review underscores the extent of lake resource degradation, which is a result of cumulative perturbation through time by long-term human impacts combined with other emerging stressors. Decades of degradation of large lakes have resulted in major challenges for restoration and management and a legacy of ecological and economic costs for future generations. Large lakes will require more intense conservation efforts in a warmer, increasingly populated world to achieve sustainable, high-quality waters. This Warning to Humanity is also an opportunity to highlight the value of a long-term lake observatory network to monitor and report on environmental changes in large lake ecosystems. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of International Association for Great Lakes Research.
Published: 2020
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14. Dataset of a study about the impact of a micro-sewage effluent on the benthic macroinvertebrate community in a small Apennine creek (NW Italy).

Author: Ercole G, Marino A, Fenoglio S, Rasconi S, and Bo T
Abstract: Concerning the impact of organic contamination, most studies focus on the main river courses, which are affected by large wastewater plants and intensively urbanized areas, while a large part of a river's catchment area is made up of small streams flowing through rural or forested areas. As a result, the impact of even small sources of organic load on small systems is often not analysed. This study investigated the impact of a small sewage source on the aquatic environment of the Caramagna Creek (NW Italy). At the study site, the creek receives an effluent sewer from a small cluster of houses. To evaluate the impact of this point source of pollution, we estimated macroinvertebrate community composition and abundance monthly from January 2005 to March 2006 in two stations, located respectively 50 m upstream and 50 m downstream of the sewer pipe. At the same time, main physicochemical parameters, microbiological data, and chlorophyll-a concentration were assessed. These data aim to inspire additional research, particularly in addressing the implications of often overlooked small impacts occurring in small rivers, which can have an enormous impact given the dendritic organisation of the hydrographic network and the multiplicative effect along the river system. These results are especially relevant in the context of evolving river dynamics influenced by decreasing flows, resulting in a diminution in dilution capacity and thus greater fragility of river ecosystems. Moreover, if we consider only the upstream site, this dataset holds important potential related to non-impacted macroinvertebrate communities, constituting an important reference because it integrates macroinvertebrate community data with different environmental data, from granulometry to in-stream productivity, from chemical-physical to microbiological data., (© 2024 The Author(s).)
Published: 2024
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15. Combined Earth observations reveal the sequence of conditions leading to a large algal bloom in Lake Geneva.

Author: Irani Rahaghi A, Odermatt D, Anneville O, Sepúlveda Steiner O, Reiss RS, Amadori M, Toffolon M, Jacquet S, Harmel T, Werther M, Soulignac F, Dambrine E, Jézéquel D, Hatté C, Tran-Khac V, Rasconi S, Rimet F, and Bouffard D
Abstract: Freshwater algae exhibit complex dynamics, particularly in meso-oligotrophic lakes with sudden and dramatic increases in algal biomass following long periods of low background concentration. While the fundamental prerequisites for algal blooms, namely light and nutrient availability, are well-known, their specific causation involves an intricate chain of conditions. Here we examine a recent massive Uroglena bloom in Lake Geneva (Switzerland/France). We show that a certain sequence of meteorological conditions triggered this specific algal bloom event: heavy rainfall promoting excessive organic matter and nutrients loading, followed by wind-induced coastal upwelling, and a prolonged period of warm, calm weather. The combination of satellite remote sensing, in-situ measurements, ad-hoc biogeochemical analyses, and three-dimensional modeling proved invaluable in unraveling the complex dynamics of algal blooms highlighting the substantial role of littoral-pelagic connectivities in large low-nutrient lakes. These findings underscore the advantages of state-of-the-art multidisciplinary approaches for an improved understanding of dynamic systems as a whole., Competing Interests: Competing interestsThe authors declare no competing interests., (© The Author(s) 2024.)
Published: 2024
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16. Physico-chemical and high frequency monitoring dataset from mesocosm experiments simulating extreme climate events in lakes.

Author: Tran-Khac V, Quetin P, Espinat L, Crépin L, Cousin C, Perney P, Hustache JC, Chiapusio G, Domaizon I, and Rasconi S
Abstract: We present two datasets composed of high frequency sensors data, vertical in situ profiles and laboratory chemical analysis data, acquired during two different aquatic mesocosm experiments performed at the OLA ("Long-term observation and experimentation for lake ecosystems") facility at the UMR CARRTEL in Thonon les Bains, on the French shore of Lake Geneva. The DOMLAC experiment lasted 3 weeks (4-21 October 2021) and aimed to simulate predicted climate scenarios (i.e. extreme events such as storms and floods) by reproducing changes in quality and composition of lake subsidies and runoff by increased inputs of terrestrial organic matter. The PARLAC experiment lasted 3 weeks (5-23 September 2022) and aimed to simulate turbid storms by light reduction. The experimental setup consisted of nine inland polyester laminated tanks (2.1 m length, 2.1 m width and 1.1 m depth) with a total volume of approximately 4000 L and filled with water directly supplied from the lake at 4m depth. Both experimental design included three treatments each replicated three times. The DOMLAC experiment involved a control treatment (no treatment applied) and two treatments simulating allochthonous inputs from two different dissolved organic matter (DOM) extract from peat moss Sphagnum sp . (Peat-Moss treatment) and Phragmites australis (Phragmite treatment). The PARLAC experiment involved a control treatment (no treatment applied) and two treatments simulating two different intensity of light reduction. In the Medium treatment transmitted light was reduced to 70% and in the High treatment transmitted light was reduced to 15%. The datasets are composed of: 1. In situ measures from automated data loggers of temperature, conductivity, dissolved oxygen and CO 2 acquired every 5 minutes at 0.1, 0.5 and 1 m depth (DOMLAC) and 0.5m (PARLAC) for the entire period of the experiment. 2. In situ profiles (0-1 m) of temperature, conductivity, pH, dissolved oxygen (concentration and saturation) acquired twice a week during the experiment. 3. In situ measures of light spectral UV/VIS/IR irradiance (300-950 nm wavelength range) taken in the air and at 0, 0.5 and 1 m twice a week on the same day of the profiles at point 2. 4. Laboratory chemical analysis of integrated samples taken twice a week on the same day of the in situ profiles at point 2 and 3 of conductivity, pH, total alkalinity, NO 3 , total and particulate nitrogen (Ntot, Npart), PO 4 , total and particulate phosphorus (Ptot, Ppart), total and particulate organic carbon (TOC, POC), Ca, K, Mg, Na, Cl, SO 4 and SiO 2 . Only for DOMLAC also analyses of NH 4 , NO 2 and dissolved organic carbon (DOC). 5. Laboratory analysis of pigments (Chl a , Chl c , carotenoids, phaeopigments) extracted from samples collected at point 4. 6. Only for DOMLAC, specific absorbance on the range 600-200nm of DOM (i.e. <0.7 µm) measured on samples collected at point 4. This dataset aims to contribute our understanding of how extreme climate events can alter lake subsidies and affect the regulation of ecosystem processes such as production, respiration, nutrient uptake and pigment composition. The data can be used for a wide range of applications as being included in meta-analysis aiming at generalising the effect of climate change on large lakes including simulating future scenarios in a broad range of geographical areas as we used different inputs of DOM leached from litters reproducing catchments characteristics typical of different latitudes, such as mostly dominated by large leaf forests and phragmites at middle latitude, and coniferous forests rich of peat mosses that spread along the water surface typical of Northern regions., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships, which have, or could be perceived to have, influenced the work reported in this article., (© 2023 The Authors.)
Published: 2023
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17. Chytrids alleviate the harmful effect of heat and cyanobacteria diet on Daphnia via PUFA-upgrading.

Author: Abonyi A, Pilecky M, Rasconi S, Ptacnik R, and Kainz MJ
Abstract: Chytrid fungal parasites increase herbivory and dietary access to essential molecules, such as polyunsaturated fatty acids (PUFA), at the phytoplankton-zooplankton interface. Warming enhances cyanobacteria blooms and decreases algae-derived PUFA for zooplankton. Whether chytrids could support zooplankton with PUFA under global warming scenarios remains unknown. We tested the combined effect of water temperature (ambient: 18°C, heat: +6°C) and the presence of chytrids with Daphnia magna as the consumer, and Planktothrix rubescens as the main diet. We hypothesized that chytrids would support Daphnia fitness with PUFA, irrespective of water temperature. Heating was detrimental to the fitness of Daphnia when feeding solely on the Planktothrix diet. Chytrid-infected Planktothrix diet alleviated the negative impact of heat and could support Daphnia survival, somatic growth and reproduction. Carbon stable isotopes of fatty acids highlighted a ~3x more efficient n-3 than n-6 PUFA conversion by Daphnia feeding on the chytrid-infected diet, irrespective of temperature. The chytrid diet significantly increased eicosapentaenoic acid (EPA; 20:5n-3) and arachidonic acid (ARA; 20:4n-6) retention in Daphnia . The EPA retention remained unaffected, while ARA retention increased in response to heat. We conclude that chytrids support pelagic ecosystem functioning under cyanobacteria blooms and global warming via chytrids-conveyed PUFA toward higher trophic levels., (© The Author(s) 2023. Published by Oxford University Press.)
Published: 2023
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18. Multiple thresholds and trajectories of microbial biodiversity predicted across browning gradients by neural networks and decision tree learning.

Author: Fontaine L, Khomich M, Andersen T, Hessen DO, Rasconi S, Davey ML, and Eiler A
Abstract: Ecological association studies often assume monotonicity such as between biodiversity and environmental properties although there is growing evidence that nonmonotonic relations dominate in nature. Here, we apply machine-learning algorithms to reveal the nonmonotonic association between microbial diversity and an anthropogenic-induced large-scale change, the browning of freshwaters, along a longitudinal gradient covering 70 boreal lakes in Scandinavia. Measures of bacterial richness and evenness (alpha-diversity) showed nonmonotonic trends in relation to environmental gradients, peaking at intermediate levels of browning. Depending on the statistical methods, variables indicative for browning could explain 5% of the variance in bacterial community composition (beta-diversity) when applying standard methods assuming monotonic relations and up to 45% with machine-learning methods taking non-monotonicity into account. This non-monotonicity observed at the community level was explained by the complex interchangeable nature of individual taxa responses as shown by a high degree of nonmonotonic responses of individual bacterial sequence variants to browning. Furthermore, the nonmonotonic models provide the position of thresholds and predict alternative bacterial diversity trajectories in boreal freshwater as a result of ongoing climate and land-use changes, which in turn will affect entire ecosystem metabolism and likely greenhouse gas production., (© 2021. The Author(s).)
Published: 2021
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19. Physico-chemical dataset from an in situ mesocosm experiment simulating extreme climate events in Lake Geneva (MESOLAC).

Author: Tran-Khac V, Perney P, Crépin L, Quetin P, Domaizon I, Jacquet S, Espinat L, Gallot C, and Rasconi S
Abstract: This dataset complement a previously published dataset [1] and corresponds to the physico-chemical parameters data series produced during the MESOLAC experimental project [2]. The presented dataset is composed of: 1. In situ profiles (0-3m) of temperature, conductivity, pH, dissolved oxygen (concentration and saturation). 2. In situ measurements of light spectral UV/VIS/IR irradiance (300-950 nm wavelength range) taken at 0, 0.25, 0.5, 1, 1.5, 2 and 2.5m. 3. Laboratory chemical analysis of samples collected at 0 and 2 m (conductivity, pH, total alkalinity, NH 4 , NO 2 , NO 3 , total and particulate nitrogen (Ntot, Npart), PO 4 , total and particulate phosphorus (Ptot, Ppart), total, organic particulate and total particulate carbon (Ctot, Cpart-org, Cpart-tot), Cl, SO 4 , SiO 2 . 4. Laboratory analysis of pigments extracted from samples collected at 0 and 2 m (Chl a , Chl c , carotenoids, phaeopigments). The experimental design is the same as in Tran-Khac et al [1]. Briefly, it consisted of nine pelagic mesocosms (about 3000 L, 3m depth) deployed in July 2019 in Lake Geneva near the shore of Thonon les Bains (France) aiming to simulate predicted climate scenarios (i.e. extreme events) and assess the response of planktonic communities, ecosystem functioning and resilience. During the experiment, physical parameters were measured twice a week. At the same time, samples were collected at 0 and 2m of depth for subsequent chemical laboratory analyses. These data are presented in the dataset file, ordered by sampling event (numbered from S1 to S8), treatment (Control-C, High-H and Medium-M) and replicates (1 to 3). For each sampling point the measured parameters are listed in columns, missing data and values below the detection limit are marked as NA (not available). This data set aims to contribute to the understanding of the effect of environmental forcing on lake physico-chemical characteristics (such as temperature, oxygen and nutrient concentration) under simulated intense weather events. To a broader extent, the presented data can be used for a wide variety of applications, including monitoring of a large peri-alpine lake functioning under environmental stress and being included in further meta-analysis to generalise the effect of climate change on large lakes. The two complementary dataset differ in the acquired data and methods, temporal and spatial resolution. They complete each other in terms of physico-chemical characterization of the experimental treatments and together can allow comparison of the two different monitoring strategies (continuous vs punctual) during in situ experimental manipulations., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships, which have, or could be perceived to have, influenced the work reported in this article., (© 2021 Published by Elsevier Inc.)
Published: 2021
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20. In situ pelagic dataset from continuous monitoring: A mesocosm experiment in Lake Geneva (MESOLAC).

Author: Tran-Khac V, Quetin P, Domaizon I, Jacquet S, Espinat L, Gallot C, and Rasconi S
Abstract: This dataset corresponds to a data series produced from automated data loggers during the MESOLAC experimental project. Nine pelagic mesocosms (about 3000 L, 3 m depth) were deployed in July 2019 in Lake Geneva near the shore of Thonon les Bains (France), simulating predicted climate scenarios (i.e. intense weather events) by applying a combination of forcing. The design consisted of three treatments each replicated three times: a control treatment (named C - no treatment applied) and two different treatments simulating different intensities of weather events. The high intensity treatment (named H) aimed to reproduce short and intense weather events such as violent storms. It consisted of a short-term stress applied during the first week, with high pulse of dissolved organic carbon (5x increased concentration, i.e. total DOC ∼ 6 mg L -1 ), transmitted light reduced to 15% and water column manual mixing. The medium intensity treatment (named M) simulated less intense and more prolonged exposures such as during flood events. It was maintained during the 4 weeks of the experiment and consisted of 1.5x increased concentration of dissolved organic carbon (i.e. total DOC ∼ 2 mg L -1 ), 70% transmitted light and water column manual mixing. Automated data loggers were placed for the entire period of the experiment in the mesocosms and in the lake for comparison with natural conditions. Temperature, conductivity, dissolved oxygen and CO 2 were monitored every 15 min at different depths (0.15, 0.25, 1 and 2 m). This data set aims to contribute our understanding of the effect of environmental forcing on lake ecosystem processes (such as production, respiration and CO 2 exchange) under simulated intense weather events and the ability of the planktonic community to recover after perturbation. To a broader extent, the presented data can be used for a wide variety of applications, including monitoring of lake community functioning during a period of high productivity on a large peri-alpine lake and being included in further meta-analysis aiming at generalising the effect of climate change on large lakes., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article., (© 2020 Published by Elsevier Inc.)
Published: 2020
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21. Congruence, but no cascade-Pelagic biodiversity across three trophic levels in Nordic lakes.

Author: Andersen T, Hessen DO, Håll JP, Khomich M, Kyle M, Lindholm M, Rasconi S, Skjelbred B, Thrane JE, and Walseng B
Abstract: Covariation in species richness and community structure across taxonomical groups (cross-taxon congruence) has practical consequences for the identification of biodiversity surrogates and proxies, as well as theoretical ramifications for understanding the mechanisms maintaining and sustaining biodiversity. We found there to exist a high cross-taxon congruence between phytoplankton, zooplankton, and fish in 73 large Scandinavian lakes across a 750 km longitudinal transect. The fraction of the total diversity variation explained by local environment alone was small for all trophic levels while a substantial fraction could be explained by spatial gradient variables. Almost half of the explained variation could not be resolved between local and spatial factors, possibly due to confounding issues between longitude and landscape productivity. There is strong consensus that the longitudinal gradient found in the regional fish community results from postglacial dispersal limitations, while there is much less evidence for the species richness and community structure gradients at lower trophic levels being directly affected by dispersal limitation over the same time scale. We found strong support for bidirectional interactions between fish and zooplankton species richness, while corresponding interactions between phytoplankton and zooplankton richness were much weaker. Both the weakening of the linkage at lower trophic levels and the bidirectional nature of the interaction indicates that the underlying mechanism must be qualitatively different from a trophic cascade., Competing Interests: The authors declare no conflict of interest., (© 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)
Published: 2020
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22. Planktonic protistan communities in lakes along a large-scale environmental gradient.

Author: Khomich M, Kauserud H, Logares R, Rasconi S, and Andersen T
Subjects: Alveolata genetics, Cryptophyta genetics, DNA, Protozoan genetics, DNA, Ribosomal genetics, Eukaryota genetics, High-Throughput Nucleotide Sequencing, RNA, Ribosomal, 18S genetics, Scandinavian and Nordic Countries, Eukaryota classification, Lakes parasitology, Plankton classification
Abstract: Despite their obvious importance, our knowledge about the eukaryotic microbial diversity of inland waters is still limited and poorly documented. We applied 18S rDNA amplicon sequencing to provide a comprehensive analysis of eukaryotic diversity in 74 low-productivity lakes along a 750 km longitudinal transect (5.40-18.52°E) across southern Scandinavia. We detected a wide diversity of pelagic microbial eukaryotes, classified into 1882 operational taxonomic units (OTUs). The highest OTU richness was found in traditional phytoplankton groups like Dinoflagellata, Chrysophyceae, Chlorophyta and Cryptophyta. A total of 53.6% OTUs were primarily autotrophic, while 19.4% of the heterotrophic OTUs belonged to putative parasitic taxa. Except for a longitudinal trend in the relative influence of mixotrophs, there were no significant associations between major functional groups (autotrophs, heterotrophs and parasites) and spatial and environmental variables. Community dissimilarity increased significantly with increasing geographical distance between lakes. In accordance with earlier, microscopy-based surveys in this region, we demonstrate distinct gradients in protistan diversity and community composition, which are better explained by spatial structure than local environment. The strong association between longitude and protistan diversity is probably better explained by differences in regional species pools due to differences in landscape productivity than by dispersal limitation or climatic constraints., (© FEMS 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
Published: 2017
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23. Temperature increase and fluctuation induce phytoplankton biodiversity loss - Evidence from a multi-seasonal mesocosm experiment.

Author: Rasconi S, Winter K, and Kainz MJ
Abstract: Global climate change scenarios predict lake water temperatures to increase up to 4°C and extreme weather events, including heat waves and large temperature fluctuations, to occur more frequently. Such changes may result in a reorganization of the plankton community structure, causing shifts in diversity and structure toward a community dominated by fewer species that are more adapted to endure warmer and irregular temperature conditions. We designed a long-term (8 months) mesocosm experiment to explore how ambient water temperature ( C : control), induced increased temperature ( T : +4°C), and temperature fluctuations ( F : ±4°C relative to T ) change phytoplankton phenology, taxonomical diversity, and community structure, and how such changes affected zooplankton abundance and composition. Synthesis . Our results show that T and F relative to C significantly decreased phytoplankton diversity. Moreover, there was a clear effect of the temperature treatments ( T and F ) on phytoplankton size structure that resulted in a significantly lower growth of large species (i.e., large Chlorophyta) compared to C . Decreased diversity and evenness in the T and F treatments pushed the community toward the dominance of only a few phytoplankton taxa (mainly Cyanobacteria and Chlorophyta) that are better adapted to endure warmer and more irregular temperature conditions. The observed shift toward Cyanobacteria dominance may affect trophic energy transfer along the aquatic food web.
Published: 2017
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24. Increasing Water Temperature Triggers Dominance of Small Freshwater Plankton.

Author: Rasconi S, Gall A, Winter K, and Kainz MJ
Subjects: Biodiversity, Chemical Phenomena, Food Chain, Residence Characteristics, Time Factors, Fresh Water, Phytoplankton physiology, Temperature, Water
Abstract: Climate change scenarios predict that lake water temperatures will increase up to 4°C and rainfall events will become more intense and frequent by the end of this century. Concurrently, supply of humic substances from terrestrial runoff is expected to increase, resulting in darker watercolor ("brownification") of aquatic ecosystems. Using a multi-seasonal, low trophic state mesocosm experiment, we investigated how higher water temperature and brownification affect plankton community composition, phenology, and functioning. We tested the hypothesis that higher water temperature (+3°C) and brownification will, a) cause plankton community composition to shift toward small sized phytoplankton and cyanobacteria, and, b) extend the length of the growing season entailing higher phytoplankton production later in the season. We demonstrate that the 3°C increase of water temperature favored the growth of heterotrophic bacteria and small sized autotrophic picophytoplankton cells with significantly higher primary production during warmer fall periods. However, 3X darker water (effect of brownification) caused no significant changes in the plankton community composition or functioning relative to control conditions. Our findings reveal that increased temperature change plankton community structure by favoring smaller sized species proliferation (autotrophic phytoplankton and small size cladocerans), and increase primary productivity and community turnover. Finally, results of this multi-seasonal experiment suggest that warming by 3°C in aquatic ecosystems of low trophic state may cause planktonic food web functioning to become more dominated by fast growing, r-trait species (i.e., small sizes and rapid development).
Published: 2015
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25. Parasitic chytrids sustain zooplankton growth during inedible algal bloom.

Author: Rasconi S, Grami B, Niquil N, Jobard M, and Sime-Ngando T
Abstract: This study assesses the quantitative impact of parasitic chytrids on the planktonic food web of two contrasting freshwater lakes during different algal bloom situations. Carbon-based food web models were used to investigate the effects of chytrids during the spring diatom bloom in Lake Pavin (oligo-mesotrophic) and the autumn cyanobacteria bloom in Lake Aydat (eutrophic). Linear inverse modeling was employed to estimate undetermined flows in both lakes. The Monte Carlo Markov chain linear inverse modeling procedure provided estimates of the ranges of model-derived fluxes. Model results confirm recent theories on the impact of parasites on food web function through grazers and recyclers. During blooms of "inedible" algae (unexploited by planktonic herbivores), the epidemic growth of chytrids channeled 19-20% of the primary production in both lakes through the production of grazer exploitable zoospores. The parasitic throughput represented 50% and 57% of the zooplankton diet, respectively, in the oligo-mesotrophic and in the eutrophic lakes. Parasites also affected ecological network properties such as longer carbon path lengths and loop strength, and contributed to increase the stability of the aquatic food web, notably in the oligo-mesotrophic Lake Pavin.
Published: 2014
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26. Functional effects of parasites on food web properties during the spring diatom bloom in Lake Pavin: a linear inverse modeling analysis.

Author: Grami B, Rasconi S, Niquil N, Jobard M, Saint-Béat B, and Sime-Ngando T
Subjects: Animals, Carbon metabolism, Diet, France, Linear Models, Chytridiomycota physiology, Diatoms microbiology, Eutrophication physiology, Food Chain, Lakes, Parasites physiology, Seasons
Abstract: This study is the first assessment of the quantitative impact of parasitic chytrids on a planktonic food web. We used a carbon-based food web model of Lake Pavin (Massif Central, France) to investigate the effects of chytrids during the spring diatom bloom by developing models with and without chytrids. Linear inverse modelling procedures were employed to estimate undetermined flows in the lake. The Monte Carlo Markov chain linear inverse modelling procedure provided estimates of the ranges of model-derived fluxes. Model results support recent theories on the probable impact of parasites on food web function. In the lake, during spring, when 'inedible' algae (unexploited by planktonic herbivores) were the dominant primary producers, the epidemic growth of chytrids significantly reduced the sedimentation loss of algal carbon to the detritus pool through the production of grazer-exploitable zoospores. We also review some theories about the potential influence of parasites on ecological network properties and argue that parasitism contributes to longer carbon path lengths, higher levels of activity and specialization, and lower recycling. Considering the "structural asymmetry" hypothesis as a stabilizing pattern, chytrids should contribute to the stability of aquatic food webs.
Published: 2011
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27. Bacteria, archaea, and crenarchaeota in the epilimnion and hypolimnion of a deep holo-oligomictic lake.

Author: Callieri C, Corno G, Caravati E, Rasconi S, Contesini M, and Bertoni R
Subjects: Archaea genetics, Bacteria genetics, Biodiversity, Chlorophyll analysis, Chlorophyll A, Colony Count, Microbial, Crenarchaeota genetics, Fresh Water chemistry, Oligonucleotide Probes, Oxygen analysis, Temperature, Water Pollutants, Chemical, Archaea physiology, Bacterial Physiological Phenomena, Crenarchaeota physiology, Fresh Water microbiology, Water Microbiology
Abstract: In a deep, subalpine holo-oligomictic lake, the relative abundance of Archaea and Crenarchaeota, but not that of Bacteria, increases significantly with depth and varies seasonally. Cell-specific prokaryotic productivity is homogeneous along the water column. The concept of active Archaea observed in the deep ocean can therefore be extended to a deep oxic lake.
Published: 2009
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28. New design strategy for development of specific primer sets for PCR-based detection of Chlorophyceae and Bacillariophyceae in environmental samples.

Author: Moro CV, Crouzet O, Rasconi S, Thouvenot A, Coffe G, Batisson I, and Bohatier J
Subjects: Chlorophyta genetics, Computational Biology, Computer Simulation, DNA, Algal chemistry, DNA, Algal genetics, DNA, Ribosomal chemistry, DNA, Ribosomal genetics, Diatoms genetics, Molecular Sequence Data, Phylogeny, RNA, Algal genetics, RNA, Ribosomal, 18S genetics, Sensitivity and Specificity, Sequence Analysis, DNA, Sequence Homology, Chlorophyta isolation & purification, DNA Primers genetics, Diatoms isolation & purification, Environmental Microbiology, Polymerase Chain Reaction methods
Abstract: Studying aquatic microalgae is essential for monitoring biodiversity and water quality. We designed new sets of 18S rRNA PCR primers for Chlorophyceae and Bacillariophyceae by using the ARB software and implementing a virtual PCR program. The results of specificity analysis showed that most of the targeted algal families were identified and nontargeted organisms, such as fungi or ciliates, were excluded. These newly developed PCR primer sets were also able to amplify microalgal rRNA genes from environmental samples with accurate specificity. These tools could be of great interest for studying freshwater microalgal ecology and for developing bioindicators of the health status of aquatic environments.
Published: 2009
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29. Use of calcofluor white for detection, identification, and quantification of phytoplanktonic fungal parasites.

Author: Rasconi S, Jobard M, Jouve L, and Sime-Ngando T
Subjects: Staining and Labeling methods, Water Microbiology, Benzenesulfonates, Colony Count, Microbial methods, Fungi classification, Fungi isolation & purification, Phytoplankton microbiology
Abstract: We propose a routine protocol based on size fractionation of pelagic samples and the use of the fluorochrome calcofluor white (which binds to beta-1,3 and beta-1,4 polysaccharides) for diagnosing, identifying, and counting chitinaceous fungal parasites (i.e., the sporangia of chytrids) of phytoplankton. The protocol was applied to freshwater samples collected during different seasons (spring and summer/autumn) in two lakes whose trophic statuses varied. Because few samples were collected (i.e., two dates per site), the findings are considered preliminary and mainly a "proof of concept" rather than a valid comparison of sites versus seasons. The results from the proposed protocol indicate higher diversity of infected host and parasite communities than in previous studies. Chytrid epidemics were omnipresent, infecting diverse phytoplankton host communities, primarily diatoms, chlorophytes, and colonial and filamentous cyanobacteria. The diversity and numerical abundance of sporangia and of hosts, and the prevalence of infection (range, <1 to 24% of total host cells) as well, increased from the oligotrophic Lake Pavin to the eutrophic Lake Aydat, while the temporal changes in parasites were apparently more influenced by the host community composition. We conclude that the proposed protocol offers a valid method for the quantitative ecology of chytrid epidemics in aquatic ecosystems and food web dynamics.
Published: 2009
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29 results on '"Rasconi, S."'

1. Short-Term Dynamics of Bdellovibrio and Like Organisms in Lake Geneva in Response to a Simulated Climatic Extreme Event

2. Global consortium for the classification of fungi and fungus-like taxa

3. Global consortium for the classification of fungi and fungus-like taxa

4. Global consortium for the classification of fungi and fungus-like taxa

5. Scientists’ Warning to Humanity: Rapid degradation of the world's large lakes

6. Short-Term Dynamics of Bdellovibrio and Like Organisms in Lake Geneva in Response to a Simulated Climatic Extreme Event

7. Seston Fatty Acid Responses to Physicochemical Changes in Subalpine Lake Lunz, Austria

8. Polyunsaturated fatty acids in fishes increase with total lipids irrespective of feeding sources and trophic position

9. Polyunsaturated fatty acids in fishes increase with total lipids irrespective of feeding sources and trophic position

10. Integrating chytrid fungal parasites into plankton ecology: research gaps and needs

11. High Lytic Infection Rates but Low Abundances of Prokaryote Viruses in a Humic Lake (Vassivière, Massif Central, France)

12. Parasitic fungi of phytoplankton: ecological roles and implications for microbial food webs

13. Scientists’ Warning to Humanity:Rapid degradation of the world's large lakes

14. Dataset of a study about the impact of a micro-sewage effluent on the benthic macroinvertebrate community in a small Apennine creek (NW Italy).

15. Combined Earth observations reveal the sequence of conditions leading to a large algal bloom in Lake Geneva.

16. Physico-chemical and high frequency monitoring dataset from mesocosm experiments simulating extreme climate events in lakes.

17. Chytrids alleviate the harmful effect of heat and cyanobacteria diet on Daphnia via PUFA-upgrading.

18. Multiple thresholds and trajectories of microbial biodiversity predicted across browning gradients by neural networks and decision tree learning.

19. Physico-chemical dataset from an in situ mesocosm experiment simulating extreme climate events in Lake Geneva (MESOLAC).

20. In situ pelagic dataset from continuous monitoring: A mesocosm experiment in Lake Geneva (MESOLAC).

21. Congruence, but no cascade-Pelagic biodiversity across three trophic levels in Nordic lakes.

22. Planktonic protistan communities in lakes along a large-scale environmental gradient.

23. Temperature increase and fluctuation induce phytoplankton biodiversity loss - Evidence from a multi-seasonal mesocosm experiment.

24. Increasing Water Temperature Triggers Dominance of Small Freshwater Plankton.

25. Parasitic chytrids sustain zooplankton growth during inedible algal bloom.

26. Functional effects of parasites on food web properties during the spring diatom bloom in Lake Pavin: a linear inverse modeling analysis.

27. Bacteria, archaea, and crenarchaeota in the epilimnion and hypolimnion of a deep holo-oligomictic lake.

28. New design strategy for development of specific primer sets for PCR-based detection of Chlorophyceae and Bacillariophyceae in environmental samples.

29. Use of calcofluor white for detection, identification, and quantification of phytoplanktonic fungal parasites.

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29 results on '"Rasconi, S."'

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