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9. A deep learning approach for improved detection of homologous recombination deficiency from shallow genomic profiles

Author

Andre, Gregoire, primary, Coletta, Tommaso, additional, Pozzorini, Christian, additional, Marques, Ana Claudia, additional, Bieler, Jonathan, additional, Kempfer, Rieke, additional, Chong, Chloe, additional, Saitta, Alexandra, additional, Smith, Ewan, additional, Macheret, Morgane, additional, Janiszewski, Adrian, additional, Bonilla, Ximena, additional, Bonet, Jaume, additional, Santos-Silva, Hugo, additional, Postl, Magdalena, additional, Wozelka-Oltjan, Lisa, additional, Arrigo, Nils, additional, Willig, Adrian, additional, Grimm, Christoph, additional, Mullauer, Leonhard, additional, and Xu, Zhenyu, additional

Published
2022
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16. DiscoSnp-RAD: de novo detection of small variants for RAD-Seq population genomics

Author

Gauthier, Jérémy, Mouden, Charlotte, Suchan, Tomasz, Alvarez, Nadir, Arrigo, Nils, Riou, Chloé, Lemaitre, Claire, Peterlongo, Pierre, Scalable, Optimized and Parallel Algorithms for Genomics (GenScale), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), W. Szafer Institute of Botany, Polska Akademia Nauk = Polish Academy of Sciences (PAN), Natural History Museum [Geneva], Department of Ecology and Evolution [Lausanne], Université de Lausanne (UNIL), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Université de Lausanne = University of Lausanne (UNIL), CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Université de Rennes (UNIV-RENNES)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UNIV-RENNES)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Rennes (ENS Rennes)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Université de Rennes (UNIV-RENNES), Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), Polska Akademia Nauk (PAN), and Dpt of Ecology and Evolution [Lausanne]

Subjects
Insertions, Bioinformatics, Reference-free, lcsh:R, Variants, lcsh:Medicine, Genomics, De novo variant calling, RAD-seq, Next-generation sequencing, Deletions, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Population genomics, Molecular Biology, SNPs
Abstract

International audience; Restriction site Associated DNA Sequencing (RAD-Seq) is a technique characterized by the sequencing of specific loci along the genome that is widely employed in the field of evolutionary biology since it allows to exploit variants (mainly Single Nucleotide Polymorphism—SNPs) information from entire populations at a reduced cost. Common RAD dedicated tools, such as STACKS or IPyRAD, are based on all-vs-all read alignments, which require consequent time and computing resources. We present an original method, DiscoSnp-RAD, that avoids this pitfall since variants are detected by exploiting specific parts of the assembly graph built from the reads, hence preventing all-vs-all read alignments. We tested the implementation on simulated datasets of increasing size, up to 1,000 samples, and on real RAD-Seq data from 259 specimens of Chiastocheta flies, morphologically assigned to seven species. All individuals were successfully assigned to their species using both STRUCTURE and Maximum Likelihood phylogenetic reconstruction. Moreover, identified variants succeeded to reveal a within-species genetic structure linked to the geographic distribution. Furthermore, our results show that DiscoSnp-RAD is significantly faster than state-of-the-art tools. The overall results show that DiscoSnp-RAD is suitable to identify variants from RAD-Seq data, it does not require time-consuming parameterization steps and it stands out from other tools due to its completely different principle, making it substantially faster, in particular on large datasets.

Published
2020

18. Biogeography and Ecological Diversification of a Mayfly Clade in New Guinea

Author

Cozzarolo, Camille-Sophie, Balke, Michael, Buerki, Sven, Arrigo, Nils, Pitteloud, Camille, Gueuning, Morgan, Salamin, Nicolas, Sartori, Michel, and Alvarez, Nadir

Subjects
Altitudinal shifts, Thraulus, Tropical diversity, Amplicon-sequencing, Freshwater insects
Abstract

Understanding processes that have driven the extraordinary high level of biodiversity in the tropics is a long-standing question in biology. Here we try to assess whether the large lineage richness found in a New Guinean clade of mayflies (Ephemeroptera), namely the Thraulus group (Leptophlebiidae) could be associated with the recent orogenic processes, by applying a combination of phylogenetic, biogeographic and ecological shift analyses. New Guinean representatives of the Thraulus group appear monophyletic, with the possible exception of a weakly-supported early-diverging clade from the Sunda Islands. Dating analyses suggest an Eocene origin of the Thraulus group, predating by several million years current knowledge on the origin of other New Guinean aquatic organisms. Biogeographic inferences indicate that 27 of the 28 inferred dispersals (96.4%) occurred during the Eocene, Oligocene and Miocene, while only one dispersal (3.6%) took place during the Pliocene-Pleistocene. This result contrasts with the higher number of altitudinal shifts (15 of 22; 68.2%) inferred during the Pliocene-Pleistocene. Our study illustrates the role played by—potentially ecological—diversification along the elevation gradient in a time period concomitant with the establishment of high-altitude ecological niches, i.e., during orogenesis of the central New Guinean mountain range. This process might have taken over the previous main mode of diversification at work, characterized by dispersal and vicariance, by driving lineage divergence of New Guinean Leptophlebiidae across a wide array of habitats along the elevation gradient. Additional studies on organisms spanning the same elevation range as Thraulus mayflies in the tropics are needed to evaluate the potential role of the ecological opportunity or taxon cycles hypotheses in partly explaining the latitudinal diversity gradient., Frontiers in Ecology and Evolution, 7, ISSN:2296-701X

Published
2019

19. One thousand plant transcriptomes and the phylogenomics of green plants

Author

Leebens-Mack, James H., Barker, Michael S., Carpenter, Eric J., Deyholos, Michael K., Gitzendanner, Matthew A., Graham, Sean W., Grosse, Ivo, Li, Zheng, Melkonian, Michael, Mirarab, Siavash, Porsch, Martin, Quint, Marcel, Rensing, Stefan A., Soltis, Douglas E., Soltis, Pamela S., Stevenson, Dennis W., Ullrich, Kristian K., Wickett, Norman J., DeGironimo, Lisa, Edger, Patrick P., Jordon-Thaden, Ingrid E., Joya, Steve, Liu, Tao, Melkonian, Barbara, Miles, Nicholas W., Pokorny, Lisa, Quigley, Charlotte, Thomas, Philip, Villarreal, Juan Carlos, Augustin, Megan M., Barrett, Matthew D., Baucom, Regina S., Beerling, David J., Benstein, Ruben Maximilian, Biffin, Ed, Brockington, Samuel F., Burge, Dylan O., Burris, Jason N., Burris, Kellie P., Burtet-Sarramegna, Valerie, Caicedo, Ana L., Cannon, Steven B., Cebi, Zehra, Chang, Ying, Chater, Caspar, Cheeseman, John M., Chen, Tao, Clarke, Neil D., Clayton, Harmony, Covshoff, Sarah, Crandall-Stotler, Barbara J., Cross, Hugh, dePamphilis, Claude W., Der, Joshua P., Determann, Ron, Dickson, Rowan C., Di Stilio, Veronica S., Ellis, Shona, Fast, Eva, Feja, Nicole, Field, Katie J., Filatov, Dmitry A., Finnegan, Patrick M., Floyd, Sandra K., Fogliani, Bruno, Garcia, Nicolas, Gateble, Gildas, Godden, Grant T., Goh, Falicia (Qi Yun), Greiner, Stephan, Harkess, Alex, Heaney, James Mike, Helliwell, Katherine E., Heyduk, Karolina, Hibberd, Julian M., Hodel, Richard G. J., Hollingsworth, Peter M., Johnson, Marc T. J., Jost, Ricarda, Joyce, Blake, Kapralov, Maxim V., Kazamia, Elena, Kellogg, Elizabeth A., Koch, Marcus A., Von Konrat, Matt, Konyves, Kalman, Kutchan, Toni M., Lam, Vivienne, Larsson, Anders, Leitch, Andrew R., Lentz, Roswitha, Li, Fay-Wei, Lowe, Andrew J., Ludwig, Martha, Manos, Paul S., Mavrodiev, Evgeny, McCormick, Melissa K., McKain, Michael, McLellan, Tracy, McNeal, Joel R., Miller, Richard E., Nelson, Matthew N., Peng, Yanhui, Ralph, Paula, Real, Daniel, Riggins, Chance W., Ruhsam, Markus, Sage, Rowan F., Sakai, Ann K., Scascitella, Moira, Schilling, Edward E., Schlosser, Eva-Marie, Sederoff, Heike, Servick, Stein, Sessa, Emily B., Shaw, A. Jonathan, Shaw, Shane W., Sigel, Erin M., Skema, Cynthia, Smith, Alison G., Smithson, Ann, Stewart, C. Neal, Jr., Stinchcombe, John R., Szovenyi, Peter, Tate, Jennifer A., Tiebel, Helga, Trapnell, Dorset, Villegente, Matthieu, Wang, Chun-Neng, Weller, Stephen G., Wenzel, Michael, Weststrand, Stina, Westwood, James H., Whigham, Dennis F., Wu, Shuangxiu, Wulff, Adrien S., Yang, Yu, Zhu, Dan, Zhuang, Cuili, Zuidof, Jennifer, Chase, Mark W., Pires, J. Chris, Rothfels, Carl J., Yu, Jun, Chen, Cui, Chen, Li, Cheng, Shifeng, Li, Juanjuan, Li, Ran, Li, Xia, Lu, Haorong, Ou, Yanxiang, Sun, Xiao, Tan, Xuemei, Tang, Jingbo, Tian, Zhijian, Wang, Feng, Wang, Jun, Wei, Xiaofeng, Xu, Xun, Yan, Zhixiang, Yang, Fan, Zhong, Xiaoni, Zhou, Feiyu, Zhu, Ying, Zhang, Yong, Ayyampalayam, Saravanaraj, Barkman, Todd J., Nguyen, Nam-Phuong, Matasci, Naim, Nelson, David R., Sayyari, Erfan, Wafula, Eric K., Walls, Ramona L., Warnow, Tandy, An, Hong, Arrigo, Nils, Baniaga, Anthony E., Galuska, Sally, Jorgensen, Stacy A., Kidder, Thomas I., Kong, Hanghui, Lu-Irving, Patricia, Marx, Hannah E., Qi, Xinshuai, Reardon, Chris R., Sutherland, Brittany L., Tiley, George P., Welles, Shana R., Yu, Rongpei, Zhan, Shing, Gramzow, Lydia, Theissen, Gunter, Wong, Gane Ka-Shu, Leebens-Mack, James H., Barker, Michael S., Carpenter, Eric J., Deyholos, Michael K., Gitzendanner, Matthew A., Graham, Sean W., Grosse, Ivo, Li, Zheng, Melkonian, Michael, Mirarab, Siavash, Porsch, Martin, Quint, Marcel, Rensing, Stefan A., Soltis, Douglas E., Soltis, Pamela S., Stevenson, Dennis W., Ullrich, Kristian K., Wickett, Norman J., DeGironimo, Lisa, Edger, Patrick P., Jordon-Thaden, Ingrid E., Joya, Steve, Liu, Tao, Melkonian, Barbara, Miles, Nicholas W., Pokorny, Lisa, Quigley, Charlotte, Thomas, Philip, Villarreal, Juan Carlos, Augustin, Megan M., Barrett, Matthew D., Baucom, Regina S., Beerling, David J., Benstein, Ruben Maximilian, Biffin, Ed, Brockington, Samuel F., Burge, Dylan O., Burris, Jason N., Burris, Kellie P., Burtet-Sarramegna, Valerie, Caicedo, Ana L., Cannon, Steven B., Cebi, Zehra, Chang, Ying, Chater, Caspar, Cheeseman, John M., Chen, Tao, Clarke, Neil D., Clayton, Harmony, Covshoff, Sarah, Crandall-Stotler, Barbara J., Cross, Hugh, dePamphilis, Claude W., Der, Joshua P., Determann, Ron, Dickson, Rowan C., Di Stilio, Veronica S., Ellis, Shona, Fast, Eva, Feja, Nicole, Field, Katie J., Filatov, Dmitry A., Finnegan, Patrick M., Floyd, Sandra K., Fogliani, Bruno, Garcia, Nicolas, Gateble, Gildas, Godden, Grant T., Goh, Falicia (Qi Yun), Greiner, Stephan, Harkess, Alex, Heaney, James Mike, Helliwell, Katherine E., Heyduk, Karolina, Hibberd, Julian M., Hodel, Richard G. J., Hollingsworth, Peter M., Johnson, Marc T. J., Jost, Ricarda, Joyce, Blake, Kapralov, Maxim V., Kazamia, Elena, Kellogg, Elizabeth A., Koch, Marcus A., Von Konrat, Matt, Konyves, Kalman, Kutchan, Toni M., Lam, Vivienne, Larsson, Anders, Leitch, Andrew R., Lentz, Roswitha, Li, Fay-Wei, Lowe, Andrew J., Ludwig, Martha, Manos, Paul S., Mavrodiev, Evgeny, McCormick, Melissa K., McKain, Michael, McLellan, Tracy, McNeal, Joel R., Miller, Richard E., Nelson, Matthew N., Peng, Yanhui, Ralph, Paula, Real, Daniel, Riggins, Chance W., Ruhsam, Markus, Sage, Rowan F., Sakai, Ann K., Scascitella, Moira, Schilling, Edward E., Schlosser, Eva-Marie, Sederoff, Heike, Servick, Stein, Sessa, Emily B., Shaw, A. Jonathan, Shaw, Shane W., Sigel, Erin M., Skema, Cynthia, Smith, Alison G., Smithson, Ann, Stewart, C. Neal, Jr., Stinchcombe, John R., Szovenyi, Peter, Tate, Jennifer A., Tiebel, Helga, Trapnell, Dorset, Villegente, Matthieu, Wang, Chun-Neng, Weller, Stephen G., Wenzel, Michael, Weststrand, Stina, Westwood, James H., Whigham, Dennis F., Wu, Shuangxiu, Wulff, Adrien S., Yang, Yu, Zhu, Dan, Zhuang, Cuili, Zuidof, Jennifer, Chase, Mark W., Pires, J. Chris, Rothfels, Carl J., Yu, Jun, Chen, Cui, Chen, Li, Cheng, Shifeng, Li, Juanjuan, Li, Ran, Li, Xia, Lu, Haorong, Ou, Yanxiang, Sun, Xiao, Tan, Xuemei, Tang, Jingbo, Tian, Zhijian, Wang, Feng, Wang, Jun, Wei, Xiaofeng, Xu, Xun, Yan, Zhixiang, Yang, Fan, Zhong, Xiaoni, Zhou, Feiyu, Zhu, Ying, Zhang, Yong, Ayyampalayam, Saravanaraj, Barkman, Todd J., Nguyen, Nam-Phuong, Matasci, Naim, Nelson, David R., Sayyari, Erfan, Wafula, Eric K., Walls, Ramona L., Warnow, Tandy, An, Hong, Arrigo, Nils, Baniaga, Anthony E., Galuska, Sally, Jorgensen, Stacy A., Kidder, Thomas I., Kong, Hanghui, Lu-Irving, Patricia, Marx, Hannah E., Qi, Xinshuai, Reardon, Chris R., Sutherland, Brittany L., Tiley, George P., Welles, Shana R., Yu, Rongpei, Zhan, Shing, Gramzow, Lydia, Theissen, Gunter, and Wong, Gane Ka-Shu

Abstract

Green plants (Viridiplantae) include around 450,000-500,000 species(1,2) of great diversity and have important roles in terrestrial and aquatic ecosystems. Here, as part of the One Thousand Plant Transcriptomes Initiative, we sequenced the vegetative transcriptomes of 1,124 species that span the diversity of plants in a broad sense (Archaeplastida), including green plants (Viridiplantae), glaucophytes (Glaucophyta) and red algae (Rhodophyta). Our analysis provides a robust phylogenomic framework for examining the evolution of green plants. Most inferred species relationships are well supported across multiple species tree and supermatrix analyses, but discordance among plastid and nuclear gene trees at a few important nodes highlights the complexity of plant genome evolution, including polyploidy, periods of rapid speciation, and extinction. Incomplete sorting of ancestral variation, polyploidization and massive expansions of gene families punctuate the evolutionary history of green plants. Notably, we find that large expansions of gene families preceded the origins of green plants, land plants and vascular plants, whereas whole-genome duplications are inferred to have occurred repeatedly throughout the evolution of flowering plants and ferns. The increasing availability of high-quality plant genome sequences and advances in functional genomics are enabling research on genome evolution across the green tree of life.

Published
2019
Full Text
View/download PDF

20. One thousand plant transcriptomes and the phylogenomics of green plants

Author

School of Plant and Environmental Sciences, Leebens-Mack, James H., Barker, Michael S., Carpenter, Eric J., Deyholos, Michael K., Gitzendanner, Matthew A., Graham, Sean W., Grosse, Ivo, Li, Zheng, Melkonian, Michael, Mirarab, Siavash, Porsch, Martin, Quint, Marcel, Rensing, Stefan A., Soltis, Douglas E., Soltis, Pamela S., Stevenson, Dennis W., Ullrich, Kristian K., Wickett, Norman J., DeGironimo, Lisa, Edger, Patrick P., Jordon-Thaden, Ingrid E., Joya, Steve, Liu, Tao, Melkonian, Barbara, Miles, Nicholas W., Pokorny, Lisa, Quigley, Charlotte, Thomas, Philip, Villarreal, Juan Carlos, Augustin, Megan M., Barrett, Matthew D., Baucom, Regina S., Beerling, David J., Benstein, Ruben Maximilian, Biffin, Ed, Brockington, Samuel F., Burge, Dylan O., Burris, Jason N., Burris, Kellie P., Burtet-Sarramegna, Valerie, Caicedo, Ana L., Cannon, Steven B., Cebi, Zehra, Chang, Ying, Chater, Caspar, Cheeseman, John M., Chen, Tao, Clarke, Neil D., Clayton, Harmony, Covshoff, Sarah, Crandall-Stotler, Barbara J., Cross, Hugh, dePamphilis, Claude W., Der, Joshua P., Determann, Ron, Dickson, Rowan C., Di Stilio, Veronica S., Ellis, Shona, Fast, Eva, Feja, Nicole, Field, Katie J., Filatov, Dmitry A., Finnegan, Patrick M., Floyd, Sandra K., Fogliani, Bruno, Garcia, Nicolas, Gateble, Gildas, Godden, Grant T., Goh, Falicia (Qi Yun), Greiner, Stephan, Harkess, Alex, Heaney, James Mike, Helliwell, Katherine E., Heyduk, Karolina, Hibberd, Julian M., Hodel, Richard G. J., Hollingsworth, Peter M., Johnson, Marc T. J., Jost, Ricarda, Joyce, Blake, Kapralov, Maxim V., Kazamia, Elena, Kellogg, Elizabeth A., Koch, Marcus A., Von Konrat, Matt, Konyves, Kalman, Kutchan, Toni M., Lam, Vivienne, Larsson, Anders, Leitch, Andrew R., Lentz, Roswitha, Li, Fay-Wei, Lowe, Andrew J., Ludwig, Martha, Manos, Paul S., Mavrodiev, Evgeny, McCormick, Melissa K., McKain, Michael, McLellan, Tracy, McNeal, Joel R., Miller, Richard E., Nelson, Matthew N., Peng, Yanhui, Ralph, Paula E., Real, Daniel, Riggins, Chance W., Ruhsam, Markus, Sage, Rowan F., Sakai, Ann K., Scascitella, Moira, Schilling, Edward E., Schlosser, Eva-Marie, Sederoff, Heike, Servick, Stein, Sessa, Emily B., Shaw, A. Jonathan, Shaw, Shane W., Sigel, Erin M., Skema, Cynthia, Smith, Alison G., Smithson, Ann, Stewart, C. Neal, Jr., Stinchcombe, John R., Szovenyi, Peter, Tate, Jennifer A., Tiebel, Helga, Trapnell, Dorset, Villegente, Matthieu, Wang, Chun-Neng, Weller, Stephen G., Wenzel, Michael, Weststrand, Stina, Westwood, James H., Whigham, Dennis F., Wu, Shuangxiu, Wulff, Adrien S., Yang, Yu, Zhu, Dan, Zhuang, Cuili, Zuidof, Jennifer, Chase, Mark W., Pires, J. Chris, Rothfels, Carl J., Yu, Jun, Chen, Cui, Chen, Li, Cheng, Shifeng, Li, Juanjuan, Li, Ran, Li, Xia, Lu, Haorong, Ou, Yanxiang, Sun, Xiao, Tan, Xuemei, Tang, Jingbo, Tian, Zhijian, Wang, Feng, Wang, Jun, Wei, Xiaofeng, Xu, Xun, Yan, Zhixiang, Yang, Fan, Zhong, Xiaoni, Zhou, Feiyu, Zhu, Ying, Zhang, Yong, Ayyampalayam, Saravanaraj, Barkman, Todd J., Nam-Phuong Nguyen, Matasci, Naim, Nelson, David R., Sayyari, Erfan, Wafula, Eric K., Walls, Ramona L., Warnow, Tandy, An, Hong, Arrigo, Nils, Baniaga, Anthony E., Galuska, Sally, Jorgensen, Stacy A., Kidder, Thomas I., Kong, Hanghui, Lu-Irving, Patricia, Marx, Hannah E., Qi, Xinshuai, Reardon, Chris R., Sutherland, Brittany L., Tiley, George P., Welles, Shana R., Yu, Rongpei, Zhan, Shing, Gramzow, Lydia, Theissen, Gunter, Wong, Gane Ka-Shu, School of Plant and Environmental Sciences, Leebens-Mack, James H., Barker, Michael S., Carpenter, Eric J., Deyholos, Michael K., Gitzendanner, Matthew A., Graham, Sean W., Grosse, Ivo, Li, Zheng, Melkonian, Michael, Mirarab, Siavash, Porsch, Martin, Quint, Marcel, Rensing, Stefan A., Soltis, Douglas E., Soltis, Pamela S., Stevenson, Dennis W., Ullrich, Kristian K., Wickett, Norman J., DeGironimo, Lisa, Edger, Patrick P., Jordon-Thaden, Ingrid E., Joya, Steve, Liu, Tao, Melkonian, Barbara, Miles, Nicholas W., Pokorny, Lisa, Quigley, Charlotte, Thomas, Philip, Villarreal, Juan Carlos, Augustin, Megan M., Barrett, Matthew D., Baucom, Regina S., Beerling, David J., Benstein, Ruben Maximilian, Biffin, Ed, Brockington, Samuel F., Burge, Dylan O., Burris, Jason N., Burris, Kellie P., Burtet-Sarramegna, Valerie, Caicedo, Ana L., Cannon, Steven B., Cebi, Zehra, Chang, Ying, Chater, Caspar, Cheeseman, John M., Chen, Tao, Clarke, Neil D., Clayton, Harmony, Covshoff, Sarah, Crandall-Stotler, Barbara J., Cross, Hugh, dePamphilis, Claude W., Der, Joshua P., Determann, Ron, Dickson, Rowan C., Di Stilio, Veronica S., Ellis, Shona, Fast, Eva, Feja, Nicole, Field, Katie J., Filatov, Dmitry A., Finnegan, Patrick M., Floyd, Sandra K., Fogliani, Bruno, Garcia, Nicolas, Gateble, Gildas, Godden, Grant T., Goh, Falicia (Qi Yun), Greiner, Stephan, Harkess, Alex, Heaney, James Mike, Helliwell, Katherine E., Heyduk, Karolina, Hibberd, Julian M., Hodel, Richard G. J., Hollingsworth, Peter M., Johnson, Marc T. J., Jost, Ricarda, Joyce, Blake, Kapralov, Maxim V., Kazamia, Elena, Kellogg, Elizabeth A., Koch, Marcus A., Von Konrat, Matt, Konyves, Kalman, Kutchan, Toni M., Lam, Vivienne, Larsson, Anders, Leitch, Andrew R., Lentz, Roswitha, Li, Fay-Wei, Lowe, Andrew J., Ludwig, Martha, Manos, Paul S., Mavrodiev, Evgeny, McCormick, Melissa K., McKain, Michael, McLellan, Tracy, McNeal, Joel R., Miller, Richard E., Nelson, Matthew N., Peng, Yanhui, Ralph, Paula E., Real, Daniel, Riggins, Chance W., Ruhsam, Markus, Sage, Rowan F., Sakai, Ann K., Scascitella, Moira, Schilling, Edward E., Schlosser, Eva-Marie, Sederoff, Heike, Servick, Stein, Sessa, Emily B., Shaw, A. Jonathan, Shaw, Shane W., Sigel, Erin M., Skema, Cynthia, Smith, Alison G., Smithson, Ann, Stewart, C. Neal, Jr., Stinchcombe, John R., Szovenyi, Peter, Tate, Jennifer A., Tiebel, Helga, Trapnell, Dorset, Villegente, Matthieu, Wang, Chun-Neng, Weller, Stephen G., Wenzel, Michael, Weststrand, Stina, Westwood, James H., Whigham, Dennis F., Wu, Shuangxiu, Wulff, Adrien S., Yang, Yu, Zhu, Dan, Zhuang, Cuili, Zuidof, Jennifer, Chase, Mark W., Pires, J. Chris, Rothfels, Carl J., Yu, Jun, Chen, Cui, Chen, Li, Cheng, Shifeng, Li, Juanjuan, Li, Ran, Li, Xia, Lu, Haorong, Ou, Yanxiang, Sun, Xiao, Tan, Xuemei, Tang, Jingbo, Tian, Zhijian, Wang, Feng, Wang, Jun, Wei, Xiaofeng, Xu, Xun, Yan, Zhixiang, Yang, Fan, Zhong, Xiaoni, Zhou, Feiyu, Zhu, Ying, Zhang, Yong, Ayyampalayam, Saravanaraj, Barkman, Todd J., Nam-Phuong Nguyen, Matasci, Naim, Nelson, David R., Sayyari, Erfan, Wafula, Eric K., Walls, Ramona L., Warnow, Tandy, An, Hong, Arrigo, Nils, Baniaga, Anthony E., Galuska, Sally, Jorgensen, Stacy A., Kidder, Thomas I., Kong, Hanghui, Lu-Irving, Patricia, Marx, Hannah E., Qi, Xinshuai, Reardon, Chris R., Sutherland, Brittany L., Tiley, George P., Welles, Shana R., Yu, Rongpei, Zhan, Shing, Gramzow, Lydia, Theissen, Gunter, and Wong, Gane Ka-Shu

Abstract

Green plants (Viridiplantae) include around 450,000-500,000 species(1,2) of great diversity and have important roles in terrestrial and aquatic ecosystems. Here, as part of the One Thousand Plant Transcriptomes Initiative, we sequenced the vegetative transcriptomes of 1,124 species that span the diversity of plants in a broad sense (Archaeplastida), including green plants (Viridiplantae), glaucophytes (Glaucophyta) and red algae (Rhodophyta). Our analysis provides a robust phylogenomic framework for examining the evolution of green plants. Most inferred species relationships are well supported across multiple species tree and supermatrix analyses, but discordance among plastid and nuclear gene trees at a few important nodes highlights the complexity of plant genome evolution, including polyploidy, periods of rapid speciation, and extinction. Incomplete sorting of ancestral variation, polyploidization and massive expansions of gene families punctuate the evolutionary history of green plants. Notably, we find that large expansions of gene families preceded the origins of green plants, land plants and vascular plants, whereas whole-genome duplications are inferred to have occurred repeatedly throughout the evolution of flowering plants and ferns. The increasing availability of high-quality plant genome sequences and advances in functional genomics are enabling research on genome evolution across the green tree of life.

Published
2019

21. One thousand plant transcriptomes and the phylogenomics of green plants

Author

National Key Research and Development Program (China), Ministry of Science and Technology of the People's Republic of China, Leebens-Mack, James H., Barker, M. S., Carpenter, Eric J., Deyholos, Michael K., Gitzendanner, Matthew A., Graham, Sean W., Grosse,Ivo, Li, Zheng, Melkonian, Michael, Mirarab, Siavash, Porsch, Martin, Nelson, Matthew N., Peng, Yanhui, Ralph, Paula, Real, Daniel, Riggins, Chance W., Ruhsam, Markus, Sage, Rowan F., Sakai, Ann K., Scascitella, Moira, Schilling, Edward E., Quint, Marcel, Schlösser, Eva-Marie, Sederoff, Heike, Servick, Stein, Sessa, Emily B., Shaw, Jonathan, Shane W., Sigel, Erin M., Skema, Cynthia, Smith, Alison G., Smithson, Ann, Rensing, Stefan A., Stewart Jr, Neal, Stinchcombe, John R., Szövényi, Peter, Tate, Jennifer A., Tiebel, Helga, Trapnell, Dorset, Villegente, Matthieu, Wang, Chun-Neng, Weller, Stephen G., Wenzel, Michael, Soltis, Douglas E., Weststrand, Stina, Westwood, James H., Whigham, Dennis F., Wu, Shuangxiu, Wulff , Adrien S., Yang, Yu, Zhu, Dan, Zhuang, Cuili, Zuidof, Jennifer, Pires, J. Chris, Soltis, Pamela S., Chase, Mark W., Rothfels, Carl J., Yu, Jun, Chen, Cui, Chen, Li, Cheng, Shifeng, Li, Juanjuan, Li, Ran, Li, Xia, Lu, Haorong, Stevenson, Dennis W., Ou, Yanxiang, Sun, Xiao, Tan, Xuemei, Tang, Jingbo, Tian, Zhijian, Wang, Feng, Wang, Jun, Wei, Xiaofeng, Xu, Xun, Yan, Zhixiang, Ullrich, Kristian K., Yang, Fan, Zhong, Xiaoni, Zhou, Feiyu, Zhu, Ying, Zhang, Yong, Ayyampalayam, Saravanaraj, Barkman, Todd J., Nguyen, Nam-phuong, Matasci, Naim, Nelson, David R., Wickett, Norman J., Sayyari, Erfan, Wafula, Eric K., Walls, Ramona L., Warnow, Tandy, An, Hong, Arrigo, Nils, Baniaga, Anthony E., Galuska, Sally, Jorgensen, Stacy A., Kidder, Thomas I., DeGironimo, Lisa, Kong, Hanghui, Lu-Irving, Patricia, Marx, Hannah E., Qi, Xinshuai, Reardon, Chris R., Sutherland, Brittany L., Tiley, George P., Welles, Shana R., Yu, Rongpei, Zhan, Shing, Edger, Patrick P., Gramzow, Lydia, Theißen, Günter, Wong, Gane Ka-Shu, Jordon-Thaden, Ingrid E., Joya. Steve, Melkonian, Barbara, Miles, Nicholas W., Pokorny, Lisa, Quigley, Charlotte, Thomas, Philip, Villarreal, Juan Carlos, Augustin, Megan M., Barrett, Matthew D., Baucom, Regina S., Beerling, David J., Benstein, Ruben Maximilian, Biffin, Ed, Brockington, Samuel F., Burge, Dylan O., Burris, Jason N., Burris, Kellie P., Burtet-Sarramegna, Valérie, Caicedo, Ana L., Cannon, Steven B., Çebi, Zehra, Chang, Ying, Chater, Caspar, Cheeseman, John M., Chen, Tao, Clarke, Neil D., Clayton, Harmony, Covshoff, Sarah, Crandall-Stotler, Barbara J., Cross, Hugh, dePamphilis,Claude W., Der, Joshua P., Determann, Ron, Dickson, Rowan C., Di Stilio, Verónica S., Ellis, Shona, Fast, Eva, Feja, Nicole, Field, Katie J., Filatov, Dmitry A., Finnegan, Patrick M., Floyd, Sandra K., Fogliani, Bruno, García, Nicolás, Gâteblé, Gildas, Godden, Grant T., Goh, Falicia (Qi Yun), Greiner, Stephan, Harkess, Alex, Heaney, James Mike, Helliwell, Katherine E., Heyduk, Karolina, Hibberd, Julian M., Hodel, Richard G. J., Hollingsworth, Peter M., Johnson, Marc T. J., Jost, Ricarda, Joyce, Blake, Kapralov, Maxim V., Kazamia, Elena, Kellogg, Elizabeth A., Koch, Marcus A., Konrat, Matt von, Könyves, Kálmán, Kutchan, Toni M., Lam, Vivienne, Larsson, Anders, Leitch, Andrew R., Lentz, Roswitha, Li, Fay-Wei, Lowe, Andrew J., Ludwig, Martha, Manos, Paul S., Mavrodiev, Evgeny, McCormick, Melissa K., McKain, Michael, McLellan, Tracy, McNeal, Joel R., Miller, Richard E., National Key Research and Development Program (China), Ministry of Science and Technology of the People's Republic of China, Leebens-Mack, James H., Barker, M. S., Carpenter, Eric J., Deyholos, Michael K., Gitzendanner, Matthew A., Graham, Sean W., Grosse,Ivo, Li, Zheng, Melkonian, Michael, Mirarab, Siavash, Porsch, Martin, Nelson, Matthew N., Peng, Yanhui, Ralph, Paula, Real, Daniel, Riggins, Chance W., Ruhsam, Markus, Sage, Rowan F., Sakai, Ann K., Scascitella, Moira, Schilling, Edward E., Quint, Marcel, Schlösser, Eva-Marie, Sederoff, Heike, Servick, Stein, Sessa, Emily B., Shaw, Jonathan, Shane W., Sigel, Erin M., Skema, Cynthia, Smith, Alison G., Smithson, Ann, Rensing, Stefan A., Stewart Jr, Neal, Stinchcombe, John R., Szövényi, Peter, Tate, Jennifer A., Tiebel, Helga, Trapnell, Dorset, Villegente, Matthieu, Wang, Chun-Neng, Weller, Stephen G., Wenzel, Michael, Soltis, Douglas E., Weststrand, Stina, Westwood, James H., Whigham, Dennis F., Wu, Shuangxiu, Wulff , Adrien S., Yang, Yu, Zhu, Dan, Zhuang, Cuili, Zuidof, Jennifer, Pires, J. Chris, Soltis, Pamela S., Chase, Mark W., Rothfels, Carl J., Yu, Jun, Chen, Cui, Chen, Li, Cheng, Shifeng, Li, Juanjuan, Li, Ran, Li, Xia, Lu, Haorong, Stevenson, Dennis W., Ou, Yanxiang, Sun, Xiao, Tan, Xuemei, Tang, Jingbo, Tian, Zhijian, Wang, Feng, Wang, Jun, Wei, Xiaofeng, Xu, Xun, Yan, Zhixiang, Ullrich, Kristian K., Yang, Fan, Zhong, Xiaoni, Zhou, Feiyu, Zhu, Ying, Zhang, Yong, Ayyampalayam, Saravanaraj, Barkman, Todd J., Nguyen, Nam-phuong, Matasci, Naim, Nelson, David R., Wickett, Norman J., Sayyari, Erfan, Wafula, Eric K., Walls, Ramona L., Warnow, Tandy, An, Hong, Arrigo, Nils, Baniaga, Anthony E., Galuska, Sally, Jorgensen, Stacy A., Kidder, Thomas I., DeGironimo, Lisa, Kong, Hanghui, Lu-Irving, Patricia, Marx, Hannah E., Qi, Xinshuai, Reardon, Chris R., Sutherland, Brittany L., Tiley, George P., Welles, Shana R., Yu, Rongpei, Zhan, Shing, Edger, Patrick P., Gramzow, Lydia, Theißen, Günter, Wong, Gane Ka-Shu, Jordon-Thaden, Ingrid E., Joya. Steve, Melkonian, Barbara, Miles, Nicholas W., Pokorny, Lisa, Quigley, Charlotte, Thomas, Philip, Villarreal, Juan Carlos, Augustin, Megan M., Barrett, Matthew D., Baucom, Regina S., Beerling, David J., Benstein, Ruben Maximilian, Biffin, Ed, Brockington, Samuel F., Burge, Dylan O., Burris, Jason N., Burris, Kellie P., Burtet-Sarramegna, Valérie, Caicedo, Ana L., Cannon, Steven B., Çebi, Zehra, Chang, Ying, Chater, Caspar, Cheeseman, John M., Chen, Tao, Clarke, Neil D., Clayton, Harmony, Covshoff, Sarah, Crandall-Stotler, Barbara J., Cross, Hugh, dePamphilis,Claude W., Der, Joshua P., Determann, Ron, Dickson, Rowan C., Di Stilio, Verónica S., Ellis, Shona, Fast, Eva, Feja, Nicole, Field, Katie J., Filatov, Dmitry A., Finnegan, Patrick M., Floyd, Sandra K., Fogliani, Bruno, García, Nicolás, Gâteblé, Gildas, Godden, Grant T., Goh, Falicia (Qi Yun), Greiner, Stephan, Harkess, Alex, Heaney, James Mike, Helliwell, Katherine E., Heyduk, Karolina, Hibberd, Julian M., Hodel, Richard G. J., Hollingsworth, Peter M., Johnson, Marc T. J., Jost, Ricarda, Joyce, Blake, Kapralov, Maxim V., Kazamia, Elena, Kellogg, Elizabeth A., Koch, Marcus A., Konrat, Matt von, Könyves, Kálmán, Kutchan, Toni M., Lam, Vivienne, Larsson, Anders, Leitch, Andrew R., Lentz, Roswitha, Li, Fay-Wei, Lowe, Andrew J., Ludwig, Martha, Manos, Paul S., Mavrodiev, Evgeny, McCormick, Melissa K., McKain, Michael, McLellan, Tracy, McNeal, Joel R., and Miller, Richard E.

Abstract

Green plants (Viridiplantae) include around 450,000–500,000 species of great diversity and have important roles in terrestrial and aquatic ecosystems. Here, as part of the One Thousand Plant Transcriptomes Initiative, we sequenced the vegetative transcriptomes of 1,124 species that span the diversity of plants in a broad sense (Archaeplastida), including green plants (Viridiplantae), glaucophytes (Glaucophyta) and red algae (Rhodophyta). Our analysis provides a robust phylogenomic framework for examining the evolution of green plants. Most inferred species relationships are well supported across multiple species tree and supermatrix analyses, but discordance among plastid and nuclear gene trees at a few important nodes highlights the complexity of plant genome evolution, including polyploidy, periods of rapid speciation, and extinction. Incomplete sorting of ancestral variation, polyploidization and massive expansions of gene families punctuate the evolutionary history of green plants. Notably, we find that large expansions of gene families preceded the origins of green plants, land plants and vascular plants, whereas whole-genome duplications are inferred to have occurred repeatedly throughout the evolution of flowering plants and ferns. The increasing availability of high-quality plant genome sequences and advances in functional genomics are enabling research on genome evolution across the green tree of life.

Published
2019

23. Does a shift in host plants trigger speciation in the Alpine leaf beetle Oreina speciosissima (Coleoptera, Chrysomelidae)?

Author

Borer Matthias, van Noort Tom, Arrigo Nils, Buerki Sven, and Alvarez Nadir

Subjects
Evolution, QH359-425
Abstract

Abstract Background Within the Coleoptera, the largest order in the animal kingdom, the exclusively herbivorous Chrysomelidae are recognized as one of the most species rich beetle families. The evolutionary processes that have fueled radiation into the more than thirty-five thousand currently recognized leaf beetle species remain partly unresolved. The prominent role of leaf beetles in the insect world, their omnipresence across all terrestrial biomes and their economic importance as common agricultural pest organisms make this family particularly interesting for studying the mechanisms that drive diversification. Here we specifically focus on two ecotypes of the alpine leaf beetle Oreina speciosissima (Scop.), which have been shown to exhibit morphological differences in male genitalia roughly corresponding to the subspecies Oreina speciosissima sensu stricto and Oreina speciosissima troglodytes. In general the two ecotypes segregate along an elevation gradient and by host plants: Oreina speciosissima sensu stricto colonizes high forb vegetation at low altitude and Oreina speciosissima troglodytes is found in stone run vegetation at higher elevations. Both host plants and leaf beetles have a patchy geographical distribution. Through use of gene sequencing and genome fingerprinting (AFLP) we analyzed the genetic structure and habitat use of Oreina speciosissima populations from the Swiss Alps to examine whether the two ecotypes have a genetic basis. By investigating a wide range of altitudes and focusing on the structuring effect of habitat types, we aim to provide answers regarding the factors that drive adaptive radiation in this phytophagous leaf beetle. Results While little phylogenetic resolution was observed based on the sequencing of four DNA regions, the topology and clustering resulting from AFLP genotyping grouped specimens according to their habitat, mostly defined by plant associations. A few specimens with intermediate morphologies clustered with one of the two ecotypes or formed separate clusters consistent with habitat differences. These results were discussed in an ecological speciation framework. Conclusions The question of whether this case of ecological differentiation occurred in sympatry or allopatry remains open. Still, the observed pattern points towards ongoing divergence between the two ecotypes which is likely driven by a recent shift in host plant use.

Published
2011
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24. Evaluating the impact of scoring parameters on the structure of intra-specific genetic variation using RawGeno, an R package for automating AFLP scoring

Author

Gerdes Tommy, Ehrich Dorothee, Tuszynski Jarek W, Arrigo Nils, and Alvarez Nadir

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
Abstract

Abstract Background Since the transfer and application of modern sequencing technologies to the analysis of amplified fragment-length polymorphisms (AFLP), evolutionary biologists have included an increasing number of samples and markers in their studies. Although justified in this context, the use of automated scoring procedures may result in technical biases that weaken the power and reliability of further analyses. Results Using a new scoring algorithm, RawGeno, we show that scoring errors – in particular "bin oversplitting" (i.e. when variant sizes of the same AFLP marker are not considered as homologous) and "technical homoplasy" (i.e. when two AFLP markers that differ slightly in size are mistakenly considered as being homologous) – induce a loss of discriminatory power, decrease the robustness of results and, in extreme cases, introduce erroneous information in genetic structure analyses. In the present study, we evaluate several descriptive statistics that can be used to optimize the scoring of the AFLP analysis, and we describe a new statistic, the information content per bin (Ibin) that represents a valuable estimator during the optimization process. This statistic can be computed at any stage of the AFLP analysis without requiring the inclusion of replicated samples. Finally, we show that downstream analyses are not equally sensitive to scoring errors. Indeed, although a reasonable amount of flexibility is allowed during the optimization of the scoring procedure without causing considerable changes in the detection of genetic structure patterns, notable discrepancies are observed when estimating genetic diversities from differently scored datasets. Conclusion Our algorithm appears to perform as well as a commercial program in automating AFLP scoring, at least in the context of population genetics or phylogeographic studies. To our knowledge, RawGeno is the only freely available public-domain software for fully automated AFLP scoring, from electropherogram files to user-defined working binary matrices. RawGeno was implemented in an R CRAN package (with an user-friendly GUI) and can be found at http://sourceforge.net/projects/rawgeno.

Published
2009
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25. Polyploid plants have faster rates of multivariate niche differentiation than their diploid relatives.

Author

Baniaga, Anthony E., Marx, Hannah E., Arrigo, Nils, Barker, Michael S., and Early, Regan

Subjects
SYMPATRIC speciation, ECOLOGICAL niche, PLANTS, VASCULAR plants, REPRODUCTIVE isolation in plants
Abstract

Polyploid speciation entails substantial and rapid postzygotic reproductive isolation of nascent species that are initially sympatric with one or both parents. Despite strong postzygotic isolation, ecological niche differentiation has long been thought to be important for polyploid success. Using biogeographic data from across vascular plants, we tested whether the climatic niches of polyploid species are more differentiated than their diploid relatives and if the climatic niches of polyploid species differentiated faster than those of related diploids. We found that polyploids are often more climatically differentiated from their diploid parents than the diploids are from each other. Consistent with this pattern, we estimated that polyploid species generally have higher rates of multivariate niche differentiation than their diploid relatives. In contrast to recent analyses, our results confirm that ecological niche differentiation is an important component of polyploid speciation and that niche differentiation is often significantly faster in polyploids. [ABSTRACT FROM AUTHOR]

Published
2020
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28. Morphological, ecological and genetic aspects associated with endemism in the Fly Orchid group

Author

Triponez Yann, Arrigo Nils, Pellissier Loïc, Schatz Bertrand, and Alvarez Nadir

Subjects
0106 biological sciences, DNA, Plant, Genotype, Molecular Sequence Data, Ophrys insectifera, Flowers, 010603 evolutionary biology, 01 natural sciences, Evolution, Molecular, 03 medical and health sciences, Sensu, Species Specificity, Molecular evolution, Genetics, Endemism, Orchidaceae, Pollination, Ecology, Evolution, Behavior and Systematics, Ophrys, Phylogeny, 030304 developmental biology, 0303 health sciences, Polymorphism, Genetic, biology, Ecology, Reproduction, fungi, Species diversity, Sequence Analysis, DNA, 15. Life on land, biology.organism_classification, Europe, Phylogeography, Taxon, Multigene Family
Abstract

The European genus Ophrys (Orchidaceae) is famous for its insect like floral morphology an adaptation for a pseudocopulatory pollination strategy involving Hymenoptera males. A large number of endemic Ophrys species have recently been described especially within the Mediterranean Basin which is one of the major species diversity hotspots. Subtle morphological variation and specific pollinator dependence are the two main perceptible criteria for describing numerous endemic taxa. However the degree to which endemics differ genetically remains a challenging question. Additionally knowledge regarding the factors underlying the emergence of such endemic entities is limited. To achieve new insights regarding speciation processes in Ophrys we have investigated species boundaries in the Fly Orchid group (Ophrys insectifera sensu lato) by examining morphological ecological and genetic evidence. Classically authors have recognized one widespread taxon (O. insectifera) and two endemics (O. aymoninii from France and O. subinsectifera from Spain). Our research has identified clear morphological and ecological factors segregating among these taxa; however genetic differences were more ambiguous. Insights from cpDNA sequencing and amplified fragment length polymorphisms genotyping indicated a recent diversification in the three extant Fly Orchid species which may have been further obscured by active migration and admixture across the European continent. Our genetic results still indicate weak but noticeable phylogeographic clustering that partially correlates with the described species. Particularly we report several isolated haplotypes and genetic clusters in central and southeastern Europe. With regard to the morphological ecological and genetic aspects we discuss the endemism status within the Fly Orchid group from evolutionary taxonomical and conservation perspectives. © 2013 Blackwell Publishing Ltd.

Published
2013
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29. Assessing the potential of RAD-sequencing to resolve phylogenetic relationships within species radiations: The fly genus Chiastocheta (Diptera: Anthomyiidae) as a case study

Author

European Commission, Swiss National Science Foundation, Suchan,Tomasz, Espíndola, Anahí, Rutschmann, Sereina, Emerson, Brent C., Gori, Kevin, Dessimoz, Christophe, Arrigo, Nils, Ronikier, Michal, Álvarez, Nadir, European Commission, Swiss National Science Foundation, Suchan,Tomasz, Espíndola, Anahí, Rutschmann, Sereina, Emerson, Brent C., Gori, Kevin, Dessimoz, Christophe, Arrigo, Nils, Ronikier, Michal, and Álvarez, Nadir

Abstract

Determining phylogenetic relationships among recently diverged species has long been a challenge in evolutionary biology. Cytoplasmic DNA markers, which have been widely used, notably in the context of molecular barcoding, have not always proved successful in resolving such phylogenies. However, with the advent of next-generation-sequencing technologies and associated techniques of reduced genome representation, phylogenies of closely related species have been resolved at a much higher detail in the last couple of years. Here we examine the potential and limitations of one of such techniques—Restriction-site Associated DNA (RAD) sequencing, a method that produces thousands of (mostly) anonymous nuclear markers, in disentangling the phylogeny of the fly genus Chiastocheta (Diptera: Anthomyiidae). In Europe, this genus encompasses seven species of seed predators, which have been widely studied in the context of their ecological and evolutionary interactions with the plant Trollius europaeus (Ranunculaceae). So far, phylogenetic analyses using mitochondrial markers failed to resolve monophyly of most of the species from this recently diversified genus, suggesting that their taxonomy may need a revision. However, relying on a single, non-recombining marker and ignoring potential incongruences between mitochondrial and nuclear loci may provide an incomplete account of the lineage history. In this study, we applied both classical Sanger sequencing of three mtDNA regions and RAD-sequencing, for reconstructing the phylogeny of the genus. Contrasting with results based on mitochondrial markers, RAD-sequencing analyses retrieved the monophyly of all seven species, in agreement with the morphological species assignment. We found robust nuclear-based species assignment of individual samples, and low levels of estimated contemporary gene flow among them. However, despite recovering species’ monophyly, interspecific relationships varied depending on the set of RAD loci considered

Published
2017

30. Gene flow between wheat and wild relatives: empirical evidence from Aegilops geniculata, Ae. neglecta and Ae. triuncialis

Author

Arrigo, Nils, Guadagnuolo, Roberto, Lappe, Sylvain, Pasche, Sophie, Parisod, Christian, and Felber, François

Subjects
crop-to-wild gene flow, introgression, admixture, Original Articles, transposable element-based markers, amplified fragment length polymorphism
Abstract

Gene flow between domesticated species and their wild relatives is receiving growing attention. This study addressed introgression between wheat and natural populations of its wild relatives (Aegilops species). The sampling included 472 individuals, collected from 32 Mediterranean populations of three widespread Aegilops species (Aegilops geniculata, Ae. neglecta and Ae. triuncialis) and compared wheat field borders to areas isolated from agriculture. Individuals were characterized with amplified fragment length polymorphism fingerprinting, analysed through two computational approaches (i.e. Bayesian estimations of admixture and fuzzy clustering), and sequences marking wheat-specific insertions of transposable elements. With this combined approach, we detected substantial gene flow between wheat and Aegilops species. Specifically, Ae. neglecta and Ae. triuncialis showed significantly more admixed individuals close to wheat fields than in locations isolated from agriculture. In contrast, little evidence of gene flow was found in Ae. geniculata. Our results indicated that reproductive barriers have been regularly bypassed during the long history of sympatry between wheat and Aegilops.

Published
2011

31. SIMIL: an<scp>r</scp>(CRAN) scripts collection for computing genetic structure similarities based on<scp>structure</scp>2 outputs

Author

ALVAREZ NADIR, ARRIGO NILS, and INTRABIODIV CONSORTIUM

Subjects
Structure (mathematical logic), education.field_of_study, Computation, Population, Bayesian probability, Sampling (statistics), Biology, Bioinformatics, Weighting, Statistics, Genetic structure, Genetics, Gene pool, education, Ecology, Evolution, Behavior and Systematics, Biotechnology
Abstract

The emergence of comparative phylogeography requires tools that allow comparing quantitatively the genetic structures between species. Whereas numerous methods have been developed to compare trees inferred from two species, comparison methods involving population structures issued from Bayesian inferences or maximum likelihood criterion have been poorly investigated. Here, we present a method implemented in an r (CRAN) scripts collection, SIMIL, based on the mean absolute differences computed from structure 2 outputs. The scripts collection is illustrated by the computation of unweighted and weighted genetic-structure-similarity (GSS) indices in three alpine plants. Different weighting procedures - taking into account the level of overlap between the species sampling areas - are compared among the different species pairs and among the different numbers of gene pools considered in structure.

Published
2008

33. Climatic niche evolution is faster in sympatric than allopatric lineages of the butterfly genus Pyrgus

Author

Pitteloud, Camille, primary, Arrigo, Nils, additional, Suchan, Tomasz, additional, Mastretta-Yanes, Alicia, additional, Vila, Roger, additional, Dincă, Vlad, additional, Hernández-Roldán, Juan, additional, Brockmann, Ernst, additional, Chittaro, Yannick, additional, Kleckova, Irena, additional, Fumagalli, Luca, additional, Buerki, Sven, additional, Pellissier, Loïc, additional, and Alvarez, Nadir, additional

Published
2017
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34. Parallel declines in species and genetic diversity driven by anthropogenic disturbance: a multispecies approach in a French Atlantic dune system

Author

Frey, David, Arrigo, Nils, Granereau, Gilles, Sarr, Anouk, Felber, François, Kozlowski, Gregor, Frey, David, Arrigo, Nils, Granereau, Gilles, Sarr, Anouk, Felber, François, and Kozlowski, Gregor

Abstract

Numerous studies assess the correlation between genetic and species diversities, but the processes underlying the observed patterns have only received limited attention. For instance, varying levels of habitat disturbance across a region may locally reduce both diversities due to extinctions, and increased genetic drift during population bottlenecks and founder events. We investigated the regional distribution of genetic and species diversities of a coastal sand dune plant community along 240 kilometers of coastline with the aim to test for a correlation between the two diversity levels. We further quantify and tease apart the respective contributions of natural and anthropogenic disturbance factors to the observed patterns. We detected significant positive correlation between both variables. We further revealed a negative impact of urbanization: Sites with a high amount of recreational infrastructure within 10 km coastline had significantly lowered genetic and species diversities. On the other hand, a measure of natural habitat disturbance had no effect. This study shows that parallel variation of genetic and species diversities across a region can be traced back to human landscape alteration, provides arguments for a more resolute dune protection, and may help to design priority conservation areas.

Published
2016

38. Restriction site-associated DNA sequencing, genotyping error estimation and de novo assembly optimization for population genetic inference

Author

Consejo Nacional de Ciencia y Tecnología (México), Mastretta-Yanes, Alicia, Arrigo, Nils, Álvarez, Nadir, Jorgensen, Tove H., Piñero, Daniel, Emerson, Brent C., Consejo Nacional de Ciencia y Tecnología (México), Mastretta-Yanes, Alicia, Arrigo, Nils, Álvarez, Nadir, Jorgensen, Tove H., Piñero, Daniel, and Emerson, Brent C.

Abstract

Restriction site‐associated DNA sequencing (RADseq) provides researchers with the ability to record genetic polymorphism across thousands of loci for nonmodel organisms, potentially revolutionizing the field of molecular ecology. However, as with other genotyping methods, RADseq is prone to a number of sources of error that may have consequential effects for population genetic inferences, and these have received only limited attention in terms of the estimation and reporting of genotyping error rates. Here we use individual sample replicates, under the expectation of identical genotypes, to quantify genotyping error in the absence of a reference genome. We then use sample replicates to (i) optimize de novo assembly parameters within the program Stacks, by minimizing error and maximizing the retrieval of informative loci; and (ii) quantify error rates for loci, alleles and single‐nucleotide polymorphisms. As an empirical example, we use a double‐digest RAD data set of a nonmodel plant species, Berberis alpina, collected from high‐altitude mountains in Mexico.

Published
2015

40. Evolutionary history of almond tree domestication in the Mediterranean basin

Author

Delplancke, Malou, Alvarez, Nadir, Benoit, Laure, Espindola, Anahi, Joly, Hélène, Neuenschwander, Samuel, and Arrigo, Nils

Subjects
F40 - Écologie végétale, Distribution géographique, Biogéographie, Flux de gènes, F30 - Génétique et amélioration des plantes, Domestication, Variation génétique, Chloroplaste, Dynamique des populations, Marqueur génétique, Adaptation physiologique, Méthode statistique, food and beverages, F70 - Taxonomie végétale et phytogéographie, Zone méditerranéenne, Prunus dulcis, Biodiversité
Abstract

Genetic diversity of contemporary domesticated species is shaped by both natural and human-driven processes. However, until now, little is known about how domestication has imprinted the variation of fruit tree species. In this study, we reconstruct the recent evolutionary history of the domesticated almond tree, Prunus dulcis, around the Mediterranean basin, using a combination of nuclear and chloroplast microsatellites [i.e. simple sequence repeat (SSRs)] to investigate patterns of genetic diversity. Whereas conservative chloroplast SSRs show a widespread haplotype and rare locally distributed variants, nuclear SSRs show a pattern of isolation by distance with clines of diversity from the East to the West of the Mediterranean basin, while Bayesian genetic clustering reveals a substantial longitudinal genetic structure. Both kinds of markers thus support a single domestication event, in the eastern side of the Mediterranean basin. In addition, model-based estimation of the timing of genetic divergence among those clusters is estimated sometime during the Holocene, a result that is compatible with human-mediated dispersal of almond tree out of its centre of origin. Still, the detection of region-specific alleles suggests that gene flow from relictual wild preglacial populations (in North Africa) or from wild counterparts (in the Near East) could account for a fraction of the diversity observed.

Published
2013

41. Climate oscillations and species interactions: large-scale congruence but regional differences in the phylogeographic structures of an alpine plant and its monophagous insect

Author

Borer Matthias, Arrigo Nils, Buerki Sven, Naisbit Russel E, and Alvarez Nadir

Abstract

Aim To predict the fate of alpine interactions involving specialized species, using a monophagous beetle and its host plant as a case study.Location The Alps.Methods We investigated genetic structuring of the herbivorous beetle Oreina gloriosa and its specific host-plant Peucedanum ostruthium. We used genome fingerprinting (in the insect and the plant) and sequence data (in the insect) to compare the distribution of the main gene pools in the two associated species and to estimate divergence time in the insect, a proxy for the temporal origin of the interaction. We quantified the similarity in spatial genetic structures by performing a Procrustes analysis, a tool from shape theory. Finally, we simulated recolonization of an empty space analogous to the deglaciated Alps just after ice retreat by two lineages from two species showing unbalanced dependence, to examine how timing of the recolonization process, as well as dispersal capacities of associated species, could explain the observed pattern.Results Contrasting with expectations based on their asymmetrical dependence, patterns in the beetle and plant were congruent at a large scale. Exceptions occurred at a regional scale in areas of admixture, matching known suture zones in Alpine plants. Simulations using a lattice-based model suggested these empirical patterns arose during or soon after recolonization, long after the estimated origin of the interaction c. 0.5 million years ago.Main conclusions Species-specific interactions are scarce in alpine habitats because glacial cycles have limited the opportunities for co-evolution. Their fate, however, remains uncertain under climate change. Here we show that whereas most dispersal routes are paralleled at a large scale, regional incongruence implies that the destinies of the species might differ under changing climate. This may be a consequence of the host dependence of the beetle, which locally limits the establishment of dispersing insects.

Published
2012

46. Genetic structure and evolution of Alpine polyploid complexes: Ranunculus kuepferi (Ranunculaceae) as a case study

Author

Burnier, Julien, Buerki, Sven, Arrigo, Nils, Küpfer, Philippe, and Alvarez, Nadir

Abstract

The alpine white-flowered buttercup, Ranunculus kuepferi Greuter & Burdet, is a polyploid complex with diploids endemic to the southwestern Alps and polyploids – which have been previously described as apomictic – widespread throughout European mountains. Due to the polymorphic status of both its ploidy level and its reproductive mode, R. kuepferi represents a key species for understanding the evolution of polyploid lineages in alpine habitats. To disentangle the phylogeography of this polyploid taxon, we used cpDNA sequences and AFLP (amplified fragment length polymorphism) markers in 33 populations of R. kuepferi representative of its ploidy level and distribution area. Polyploid individuals were shown to be the result of at least two polyploidization events that may have taken place in the southwestern Alps. From this region, one single main migration of tetraploids colonized the entire Alpine range, the Apennines and Corsica. Genetic recombination among tetraploids was also observed, revealing the facultative nature of the apomictic reproductive mode in R. kuepferi polyploids. Our study shows the contrasting role played by diploid lineages mostly restricted to persistent refugia and by tetraploids, whose dispersal abilities have permitted their range extension all over the previously glaciated Alpine area and throughout neighbouring mountain massifs.

Published
2010

47. Gene duplication, population genomics, and species-level differentiation within a tropical mountain shrub

Author

Consejo Nacional de Ciencia y Tecnología (México), Swiss National Science Foundation, Society for the Study of Evolution (US), Mastretta-Yanes, Alicia, Zamudio, Sergio, Jorgensen, Tove H., Arrigo, Nils, Álvarez, Nadir, Piñero, Daniel, Emerson, Brent C., Consejo Nacional de Ciencia y Tecnología (México), Swiss National Science Foundation, Society for the Study of Evolution (US), Mastretta-Yanes, Alicia, Zamudio, Sergio, Jorgensen, Tove H., Arrigo, Nils, Álvarez, Nadir, Piñero, Daniel, and Emerson, Brent C.

Abstract

Gene duplication leads to paralogy, which complicates the de novo assembly of genotyping-by-sequencing (GBS) data. The issue of paralogous genes is exacerbated in plants, because they are particularly prone to gene duplication events. Paralogs are normally filtered from GBS data before undertaking population genomics or phylogenetic analyses. However, gene duplication plays an important role in the functional diversification of genes and it can also lead to the formation of postzygotic barriers. Using populations and closely related species of a tropical mountain shrub, we examine 1) the genomic differentiation produced by putative orthologs, and 2) the distribution of recent gene duplication among lineages and geography. We find high differentiation among populations from isolated mountain peaks and species-level differentiation within what is morphologically described as a single species. The inferred distribution of paralogs among populations is congruent with taxonomy and shows that GBS could be used to examine recent gene duplication as a source of genomic differentiation of nonmodel species.

Published
2014

50. Genetic and Ecological Consequences of Transgene Flow to the Wild Flora

Author

Felber, François, Kozlowski, Gregor, Arrigo, Nils, and Guadagnuolo, Roberto

Abstract

Gene flow from crops to wild relatives by sexual reproduction is one of the major issues in risk assessment for the cultivation of genetically engineered (GE) plants. The main factors which influence hybridization and introgression, the two processes of gene flow, as well as the accompanying containment measures of the transgene, are reviewed. The comparison of risks between Switzerland and Europe highlights the importance of regional studies. Differences were assessed for barley, beet and wheat. Moreover, transgene flow through several wild species acting as bridge (bridge species) has been up to now poorly investigated. Indeed, transgene flow may go beyond the closest wild relative, as in nature several wild species complexes hybridize. Its importance is assessed by several examples in Poaceae. Finally, the transgene itself has genetic and ecological consequences that are reviewed. Transgenic hybrids between crops and wild relatives may have lower fitness than the wild relatives, but in several cases, no cost was detected. On the other hand, the transgene provides advantages to the hybrids, in the case of selective value as a Bt transgene in the presence of herbivores. Genetic and ecological consequences of a transgene in a wild species are complex and depend on the type of transgene, its insertion site, the density of plants and ecological factors. More studies are needed for understanding the short and long term consequences of escape of a transgene in the wild.

Published
2008

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