41 results on '"Ragimbeau, C."'
Search Results
2. Molecular epidemiology of Listeria monocytogenes isolates collected from the environment, raw meat and raw products in two poultry- and pork-processing plants
- Author
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Chasseignaux, E., Toquin, M.-T., Ragimbeau, C., Salvat, G., Colin, P., and Ermel, G.
- Published
- 2001
3. Tracing of Salmonella spp. in two pork slaughter and cutting plants using serotyping and macrorestriction genotyping
- Author
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Giovannacci, I., Queguiner, S., Ragimbeau, C., Salvat, G., Vendeuvre, J. L., Carlier, V., and Ermel, G.
- Published
- 2001
4. Development of a multiplex PCR gene fingerprinting method using gyrA and pflA polymorphisms to identify genotypic relatedness within Campylobacter jejuni species
- Author
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Ragimbeau, C., Salvat, G., Colin, P., and Ermel, G.
- Published
- 1998
5. A44 Complete HPV genomes from cervical samples using next-generation sequencing in Luxembourg
- Author
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Latsuzbaia, A, primary, Tapp, J, additional, Ragimbeau, C, additional, Fischer, M, additional, Weyers, S, additional, Arbyn, M, additional, and Mossong, J, additional
- Published
- 2018
- Full Text
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6. Flea market finds and global exports: Four multistate outbreaks of human Salmonella infections linked to small turtles, United States-2015
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Gambino-Shirley, K., primary, Stevenson, L., additional, Concepción-Acevedo, J., additional, Trees, E., additional, Wagner, D., additional, Whitlock, L., additional, Roberts, J., additional, Garrett, N., additional, Van Duyne, S., additional, McAllister, G., additional, Schick, B., additional, Schlater, L., additional, Peralta, V., additional, Reporter, R., additional, Li, L., additional, Waechter, H., additional, Gomez, T., additional, Fernández Ordenes, J., additional, Ulloa, S., additional, Ragimbeau, C., additional, Mossong, J., additional, and Nichols, M., additional
- Published
- 2018
- Full Text
- View/download PDF
7. Genomic diversity of Campylobacter coli and Campylobacter jejuini isolates recovered from free-range broiler farms and comparison with isolates of various origins
- Author
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Rivoal, K., Ragimbeau, C., Salvat, G., Colin, P., and Ermel, G.
- Subjects
Campylobacter -- Research ,Broilers (Poultry) -- Health aspects ,Broilers (Poultry) -- Research ,Genetic recombination -- Research ,Biological sciences - Abstract
A study to characterize isolates collected from seven broiler farms by the use of molecular typing method to establish the source and route of contamination of the broilers at the farm level was made. The evidence of the recombination suggested that there were geonomic rearrangements within the Campylobacter populations and the recovery of related clusters from the different broiler farms showed that some Campylobacter strains may be specifically adapted.
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- 2005
8. Multi-laboratory validation study of multilocus variablenumber tandem repeat analysis (MLVA) for Salmonella enterica serovar Enteritidis, 2015.
- Author
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Peters, T., Bertrand, S., Björkman, J. T., Branda, L. T., Brown, D. J., Erdõsi, T., Heck, M., Ibrahem, S., Johansson, K., Kornschober, C., Kotila, S. M., Le Hello, S., Lienemann, T., Mattheus, W., Nielsen, E. M., Ragimbeau, C., Rumore, J., Sabol, A., Torpdahl, M., and Trees, E.
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- 2017
- Full Text
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9. Outbreaks of monophasic Salmonella enterica serovar 4,[5],12:i:- in Luxembourg, 2006
- Author
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Mossong, J, primary, Marques, P, additional, Ragimbeau, C, additional, Huberty-Krau, P, additional, Losch, S, additional, Meyer, G, additional, Moris, G, additional, Strottner, C, additional, Rabsch, W, additional, and Schneider, F, additional
- Published
- 2007
- Full Text
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10. Investigation of a staphylococcal food poisoning outbreak combining case--control, traditional typing and whole genome sequencing methods, Luxembourg, June 2014.
- Author
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Mossong, J., Decruyenaere, F., Moris, G., Ragimbeau, C., Olinger, C. M., Johler, S., Perrin, M., Hau, P., and Weicherding, P.
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- 2015
- Full Text
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11. Use of PFGE typing for tracing contamination with Listeria monocytogenes in three cold-smoked salmon processing plants
- Author
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Dauphin, G., primary, Ragimbeau, C., additional, and Malle, P., additional
- Published
- 2001
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12. Tracing ofSalmonellaspp. in two pork slaughter and cutting plants using serotyping and macrorestriction genotyping
- Author
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Giovannacci, I., primary, Queguiner, S., additional, Ragimbeau, C., additional, Salvat, G., additional, Vendeuvre, J. L., additional, Carlier, V., additional, and Ermel, G., additional
- Published
- 2001
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13. Listeria monocytogenes in pork slaughtering and cutting plants
- Author
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Giovannacci, I, primary, Ragimbeau, C, additional, Queguiner, S, additional, Salvat, G, additional, Vendeuvre, J.-L, additional, Carlier, V, additional, and Ermel, G, additional
- Published
- 1999
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14. Development of a multiplex PCR gene fingerprinting method usinggyrAandpflApolymorphisms to identify genotypic relatedness withinCampylobacter jejunispecies
- Author
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Ragimbeau, C., primary, Salvat, G., additional, Colin, P., additional, and Ermel, G., additional
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- 1998
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15. Investigation of an excess of Salmonella Enteritidis phage type 14b and MLVA type 4-7-3-13-10-2-2 in Luxembourg, Belgium and Germany during 2010.
- Author
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Mossong, J., Ragimbeau, C., Schuh, J., Weicherding, P., Peetso, R., Wildemauwe, C., Imberechts, H., Rabsch, W., and Bertrand, S.
- Published
- 2012
16. Molecular epidemiology of Listeria monocytogenes isolates collected from the environment, raw meat and raw products in two poultry- and pork-processing plants.
- Author
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Ermel, G., Chasseignaux, E., Toquin, M.-T., Ragimbeau, C., Salvat, G., and Colin, P.
- Subjects
LISTERIA monocytogenes ,FOOD contamination - Abstract
Aims: In order to study the transmission of Listeria monocytogenes in a poultry and a pork meat plant, we analysed the contamination by this pathogen over several months. Methods and Results: Five hundred and two isolates of L. monocytogenes were collected and characterized by genotyping and serotyping. Thirty-seven genotypes were obtained by ApaI-restriction analysis-pulsed field gel electrophoresis (REA-PFGE) and 35 by SmaI-REA-PFGE and resulted in 50 combined genotypes. The tracing of the contamination in both plants showed that some clones were able to survive for several months. However, some other clones were found only during processing operations, were not detectable after cleaning and seemed to enter continuously into the plant. Conclusions: Some L. monocytogenes strains may persist for a long period in the plant environment. Different genotypes can be associated with poultry as well as pork meat. Significance and Impact of the Study: Listeria monocytogenes contamination can be due to contaminated raw materials, bacterial spread and also ineffective cleaning procedures. [ABSTRACT FROM AUTHOR]
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- 2001
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17. Development of a multiplex PCR gene fingerprinting method using gyrA andpflA polymorphisms to identify genotypic relatedness withinCampylobacter jejuni species.
- Author
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Ragimbeau, C., Salvat, G., Colin, P., and Ermel, G.
- Subjects
- *
CAMPYLOBACTER jejuni , *POLYMERASE chain reaction , *GENETIC polymorphisms - Abstract
The two genes gyrA and pflA, whose sequence variability had been previously described, were evaluated separately for their potential value in discriminating strains of Campylobacter jejuni. A single method was then developed by which the two loci were simultaneously amplified using a multiplex PCR procedure, and banding patterns were generated using a pre-selected set of restriction endonuclease enzymes. The method was applied to 18 strains of Camp. jejuni from different poultry sources varying in geographical origin and year of isolation. Results were combined and compared by means of numerical analysis with the classification obtained by flaA-typing and macrorestriction SmaI and KpnI. The usefulness of PCR fingerprinting of the gyrA/pflA genes for rapid ordering of strains by genotypic relatedness and providing additional information for estimating the degree of linkage between strains was demonstrated. [ABSTRACT FROM AUTHOR]
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- 1998
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18. Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020
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Alm E., Broberg E.K., Connor T., Hodcroft E.B., Komissarov A.B., Maurer-Stroh S., Melidou A., Neher R.A., O'Toole A., Pereyaslov D., Beerenwinkel N., Posada-Cespedes S., Jablonski K.P., Ferreira P.F., Topolsky I., Avsic-Zupanc T., Korva M., Poljak M., Zakotnik S., Zorec T.M., Bragstad K., Hungnes O., Stene-Johansen K., Reusken C., Meijer A., Vennema H., Ruiz-Roldan L., Bracho M.A., Garcia-Gonzalez N., Chiner-Oms A., Cancino-Munoz I., Comas I., Goig G.A., Torres-Puente M., Lopez M.G., Martinez-Priego L., D'Auria G., Ruiz-Hueso P., Ferrus-Abad L., de Marco G., Galan-Vendrell I., Carbo-Ramirez S., Ruiz-Rodriguez P., Coscolla M., Polackova K., Kramna L., Cinek O., Richter J., Krashias G., Tryfonos C., Bashiardes S., Koptides D., Christodoulou C., Bartolini B., Gruber C.E., Di Caro A., Castilletti C., Stefani F., Rimoldi S.G., Romeri F., Salerno F., Polesello S., Nagy A., Jirincova H., Vecerova J., Novakova L., Cordey S., Murtskhvaladze M., Kotaria N., Schar T., Beisel C., Vugrek O., Rokic F., Trgovec-Greif L., Jurak I., Rukavina T., Sucic N., Schonning K., Karst S.M., Kirkegaard R.H., Michaelsen T.Y., Sorensen E.A., Knutson S., Brandt J., Le-Quy V., Sorensen T., Petersen C., Pedersen M.S., Larsen S.L., Skov M.N., Rasmussen M., Fonager J., Fomsgaard A., Maksyutov R.A., Gavrilova E.V., Pyankov O.V., Bodnev S.A., Tregubchak T.V., Shvalov A.N., Antonets D.V., Resende P.C., Goya S., Perrin A., Lee R.T., Yadahalli S., Han A.X., Russell C.A., Schmutz S., Zaheri M., Kufner V., Huber M., Trkola A., Antwerpen M., Walter M.C., van der Werf S., Gambaro F., Behillil S., Enouf V., Donati F., Ustinova M., Rovite V., Klovins J., Savicka O., Wienecke-Baldacchino A.K., Ragimbeau C., Fournier G., Mossong J., Aberle S.W., Haukland M., Enkirch T., Advani A., Karlberg M.L., Lindsjo O.K., Broddesson S., Slavikova M., Lickova M., Klempa B., Staronova E., Ticha E., Szemes T., Rusnakova D., Stadler T., Quer J., Anton A., Andres C., Pinana M., Garcia-Cehic D., Pumarola T., Izopet J., Gioula G., Exindari M., Papa A., Chatzidimitriou D., Metallidis S., Pappa S., Macek M., Geryk J., Broz P., Briksi A., Hubacek P., Drevinek P., Zajac M., Kvapil P., Holub M., Kvapilova K., Novotny A., Kasny M., Klempt P., Vapalahti O., Smura T., Sironen T., Selhorst P., Anthony C., Arien K., Simon-Loriere E., Rabalski L., Bienkowska-Szewczyk K., Borges V., Isidro J., Gomes J.P., Guiomar R., Pechirra P., Costa I., Duarte S., Vieira L., Pyrc K., Zuckerman N.S., Turdikulova S., Abdullaev A., Dalimova D., Abdurakhimov A., Tagliabracci A., Alessandrini F., Melchionda F., Onofri V., Turchi C., Bagnarelli P., Menzo S., Caucci S., Di Sante L., Popa A., Genger J.-W., Agerer B., Lercher A., Endler L., Smyth M., Penz T., Schuster M., Senekowitsch M., Laine J., Bock C., Bergthaler A., Shevtsov A., Kalendar R., Ramanculov Y., Graf A., Muenchhoff M., Keppler O.T., Krebs S., Blum H., Marcello A., Licastro D., D'Agaro P., Laubscher F., Vidanovic D., Tesovic B., Volkening J., Clementi N., Mancini N., Rupnik M., Mahnic A., Walker A., Houwaart T., Wienemann T., Vasconcelos M.K., Strelow D., Jensen B.-E.O., Senff T., Hulse L., Adams O., Andree M., Hauka S., Feldt T., Keitel V., Kindgen-Milles D., Timm J., Pfeffer K., Dilthey A.T., Moore C., Ozdarendeli A., Pavel S.T.I., Yetiskin H., Aydin G., Holyavkin C., Uygut M.A., Cevik C., Shchetinin A., Gushchin V., Dinler-Doganay G., Doganay L., Kizilboga-Akgun T., Karacan I., Pancer K., Maes P., Marti-Carreras J., Wawina-Bokalanga T., Vanmechelen B., Thurmer A., Wedde M., Durrwald R., von Kleist M., Drechsel O., Wolff T., Fuchs S., Kmiecinski R., Michel J., Nitsche A., Casas I., Caballero M.I., Zaballos A., Jimenez P., Jimenez M., Fernandez S.M., Fernandez S.V., de la Plaza I.C., Fadeev A., Ivanova A., Sergeeva M., Stefanelli P., Estee Torok M., Hall G., da Silva Filipe A., Turtle L., Afifi S., McCluggage K., Beer R., Ledesma J., Maksimovic J., Spellman K., Hamilton W.L., Marchbank A., Southgate J.A., Underwood A., Taylor B., Yeats C., Abudahab K., Gemmell M.R., Eccles R., Lucaci A., Nelson C.A., Rainbow L., Whitehead M., Gregory R., Haldenby S., Paterson S., Hughes M.A., Curran M.D., Baker D., Tucker R., Green L.R., Feltwell T., Halstead F.D., Wyles M., Jahun A.S., Ahmad S.S.Y., Georgana I., Goodfellow I., Yakovleva A., Meredith L.W., Gavriil A., Awan A.R., Fisher C., Edgeworth J., Lynch J., Moore N., Williams R., Kidd S.P., Cortes N., Brunker K., McCrone J.T., Quick J., Duckworth N., Walsh S., Sloan T., Ludden C., George R.P., Eltringham G., Brown J.R., Aranday-Cortes E., Shepherd J.G., Hughes J., Li K.K., Williams T.C., Johnson N., Jesudason N., Mair D., Thomson E., Shah R., Parr Y.A., Carmichael S., Robertson D.L., Nomikou K., Broos A., Niebel M., Smollett K., Tong L., Miah S., Wittner A., Phillips N., Payne B., Dewar R., Holmes A., Bolt F., Price J.R., Mookerjee S., Sethi D.K., Potter W., Stanley R., Prakash R., Dervisevic S., Graham J.C., Nelson A., Smith D., Young G.R., Yew W.C., Todd J.A., Trebes A., Andersson M., Bull M., Watkins J., Birchley A., Gatica-Wilcox B., Gilbert L., Kumziene-Summerhayes S., Rey S., Chauhan A., Butcher E., Bicknell K., Elliott S., Glaysher S., Lackenby A., Bibby D., Platt S., Mohamed H., Machin N.W., Mbisa J.L., Evans J., Perry M., Pacchiarini N., Corden S., Adams A.G., Gaskin A., Coombs J., Graham L.J., Cottrell S., Morgan M., Gifford L., Kolyva A., Rudder S.J., Trotter A.J., Mather A.E., Aydin A., Page A.J., Kay G.L., de Oliveira Martins L., Yasir M., Alikhan N.-F., Thomson N.M., Gilroy R., Kingsley R.A., O'Grady J., Gutierrez A.V., Diaz M., Viet T.L., Tedim A.P., Adriaenssens E.M., Patrick Mcclure C., Sang F., Clark G., Howson-Wells H.C., Debebe J., Ball J., Chappell J., Khakh M., Carlile M., Loose M., Lister M.M., Holmes N., Tsoleridis T., Fleming V.M., Wright V., Smith W., Gallagher M.D., Parker M., Partridge D.G., Evans C., Baker P., Essex S., Liggett S., Keeley A.J., Bashton M., Rooke S., Dervisavic S., Meader E.J., Lopez C.E.B., Angyal A., Kristiansen M., Tutill H.J., Findlay J., Mestek-Boukhibar L., Forrest L., Dyal P., Williams R.J., Panchbhaya Y., Williams C.A., Roy S., Pandey S., Stockton J., Loman N.J., Poplawski R., Nicholls S., Rowe W.P.M., Khokhar F., Pinckert M.L., Hosmillo M., Chaudhry Y., Caller L.G., Davidson R.K., Griffith L., Rambaut A., Jackson B., Colquhoun R., Hill V., Nichols J., Asamaphan P., Darby A., Jackson K.A., Iturriza-Gomara M., Vamos E.E., Green A., Aanensen D., Bonsall D., Buck D., Macintyre-Cockett G., de Cesare M., Pybus O., Golubchik T., Scarlett G., Loveson K.F., Robson S.C., Beckett A., Lindsey B., Groves D.C., Parsons P.J., McHugh M.P., Barnes J.D., Manso C.F., Grammatopoulos D., Menger K.E., Harrison E., Gunson R., Peacock S.J., Gonzalez G., Carr M., Mihaela L., Popovici O., Brytting M., Bresner C., Fuller W., Workman T., Mentis A.F., Kossyvakis A., Karamitros T., Pogka V., Kalliaropoulos A., Horefti E., Kontou A., Martinez-Gonzalez B., Labropoulou V., Voulgari-Kokota A., Evangelidou M., Bizta P., Belimezi M., Lambrechts L., Doymaz M.Z., Yazici M.K., Cetin N.S., Karaaslan E., Kallio-Kokko H., Virtanen J., Suvanto M., Nguyen P.T., Ellonen P., Hannula S., Kangas H., Sreenu V.B., Burian K., Terhes G., Gombos K., Gyenesei A., Urban P., Herczeg R., Jakab F., Kemenesi G., Toth G.E., Somogyi B., Zana B., Zeghbib S., Kuczmog A., Foldes F., Lanszki Z., Madai M., Papp H., Pereszlenyi C.I., Babinszky G.C., Dudas G., Csoma E., Abou Tayoun A.N., Alsheikh-Ali A.A., Loney T., Nowotny N., Abdul-Wahab O., Gonzalez-Candelas F., Andersen M.H., Taylor S., MARTI CARRERAS, Joan, Vanmechelen, Bert, Wawina, Tony, Medical Microbiology and Infection Prevention, AII - Infectious diseases, WHO European Region Sequencing Lab, GISAID EpiCoV Grp, Erik, Alm, Eeva K, Broberg, Thomas, Connor, Emma B, Hodcroft, Andrey B, Komissarov, Sebastian, Maurer-Stroh, Angeliki, Melidou, Richard A, Neher, Áine, O’Toole, Dmitriy, Pereyaslov, WHO European Region sequencing laboratories and GISAID EpiCoV group (Niko Beerenwinkel, The, Posada-Céspedes, Susana, Philipp, Kim, Jablonski, Falé Ferreira, Pedro, Topolsky, Ivan, Avšičžupanc, Tatjana, Korva, Miša, Poljak, Mario, Zakotnik, Samo, Tomaž, Zorec, Mark, Bragstad, Karoline, Hungnes, Olav, Stene-Johansen, Kathrine, Reusken, Chantal, Meijer, Adam, Vennema, Harry, Ruiz-Roldán, Lidia, Alma Bracho, María, García-González, Neri, Chiner-Oms, Álvaro, Cancino-Muñoz, Irving, Comas, Iñaki, A Goig, Galo, Torres-Puente, Manuela, G López, Mariana, Martínez-Priego, Llúcia, D’Auria, Giuseppe, LoretoFerrús-Abad, de Marco, Griselda, Galan-Vendrell, Inmaculada, Carbó-Ramirez, Sandra, Ruíz-Hueso, Paula, Coscollá, Mireia, Polackova, Katerina, Kramna, Lenka, Cinek, Ondrej, Richter, Jan, Krashias, George, Tryfonos, Christina, Bashiardes, Stavro, Koptides, Dana, Christodoulou, Christina, Bartolini, Barbara, Em Gruber, Cesare, Di Caro, Antonino, Castilletti, Concetta, Stefani, Fabrizio, Giordana Rimoldi, Sara, Romeri, Francesca, Salerno, Franco, Polesello, Stefano, Nagy, Alexander, Jirincova, Helena, Vecerova, Jaromira, Novakova, Ludmila, Cordey, Samuel, Murtskhvaladze, Marine, Kotaria, Nato, Schär, Tobia, Beisel, Christian, Vugrek, Oliver, Rokić, Filip, Trgovecgreif, Lovro, Jurak, Igor, Rukavina, Tomislav, Sučić, Neven, Schønning, Kristian, M Karst, Søren, H Kirkegaard, Rasmu, Y Michaelsen, Thoma, Aa Sørensen, Emil, Knutson, Simon, Brandt, Jakob, Le-Quy, Vang, Sørensen, Trine, Petersen, Celine, Schou Pedersen, Martin, Løkkegaard Larsen, Sanne, Nielsine Skov, Marianne, Rasmussen, Morten, Fonager, Jannik, Fomsgaard, Ander, Amirovich Maksyutov, Rinat, Vasil’Evna Gavrilova, Elena, Victorovich Pyankov, Oleg, Alexandrovich Bodnev, Sergey, Vladimirovna Tregubchak, Tatyana, Nikolayevich Shvalov, Alexander, Victorovich Antonets, Deni, Cristina Resende, Paola, Goya, Stephanie, Perrin, Amandine, Tc Lee, Raphael, Yadahalli, Shilpa, X Han, Alvin, A Russell, Colin, Schmutz, Stefan, Zaheri, Maryam, Kufner, Verena, Huber, Michael, Trkola, Alexandra, Antwerpen, Marku, C Walter, Mathia, van der Werf, Sylvie, Gambaro, Fabiana, Behillil, Sylvie, Enouf, Vincent, Donati, Flora, Ustinova, Monta, Rovite, Vita, Klovins, Jani, Savicka, Oksana, K Wienecke-Baldacchino, Anke, Ragimbeau, Catherine, Fournier, Guillaume, Mossong, Joël, W Aberle, Stephan, Haukland, Mattia, Enkirch, Theresa, Advani, Abdolreza, Lind Karlberg, Maria, Karlsson Lindsjö, Oskar, Broddesson, Sandra, Sláviková, Monika, Ličková, Martina, Klempa, Bori, Staroňová, Edita, Tichá, Elena, Szemes, Tomáš, Rusňáková, Diana, Stadler, Tanja, Quer, Josep, Anton, Andre, Andres, Cristina, Piñana, Maria, Garcia-Cehic, Damir, Pumarola, Toma, Izopet, Jacque, Gioula, Georgia, Exindari, Maria, Papa, Anna, Chatzidimitriou, Dimitrio, Metallidis, Symeon, Pappa, Stella, Macek Jr, Milan, Geryk, Jan, Brož, Petr, Briksí, Aleš, Hubáček, Petr, Dřevínek, Pavel, Zajac, Miroslav, Kvapil, Petr, Holub, Michal, Kvapilová, Kateřina, Novotný, Adam, Kašný, Martin, Klempt, Petr, Vapalahti, Olli, Smura, Teemu, Sironen, Tarja, Selhorst, Philippe, Anthony, Colin, Ariën, Kevin, Simon-Loriere, Etienne, Rabalski, Lukasz, Bienkowska-Szewczyk, Krystyna, Borges, Vítor, Isidro, Joana, Paulo Gomes, João, Guiomar, Raquel, Pechirra, Pedro, Costa, Inê, Duarte, Sílvia, Vieira, Luí, Pyrc, Krzysztof, S Zuckerman, Neta, Turdikulova, Shahlo, Abdullaev, Alisher, Dalimova, Dilbar, Abdurakhimov, Abror, Tagliabracci, Adriano, Alessandrini, Federica, Melchionda, Filomena, Onofri, Valerio, Turchi, Chiara, Bagnarelli, Patrizia, Menzo, Stefano, Caucci, Sara, Di Sante, Laura, Popa, Alexandra, Genger, Jakob-Wendelin, Agerer, Benedikt, Lercher, Alexander, Endler, Luka, Smyth, Mark, Penz, Thoma, Schuster, Michael, Senekowitsch, Martin, Laine, Jan, Bock, Christoph, Bergthaler, Andrea, Shevtsov, Alexandr, Kalendar, Ruslan, Ramanculov, Yerlan, Graf, Alexander, Muenchhoff, Maximilian, T Keppler, Oliver, Krebs, Stefan, Blum, Helmut, Marcello, Alessandro, Licastro, Danilo, D’Agaro, Pierlanfranco, Laubscher, Florian, Vidanovic, Dejan, Tesovic, Bojana, Volkening, Jeremy, Clementi, Nicola, Mancini, Nicasio, Rupnik, Maja, Mahnic, Aleksander, Walker, Andrea, Houwaart, Torsten, Wienemann, Tobia, Kohns Vasconcelos, Malte, Strelow, Daniel, Ole Jensen, Björn-Erik, Senff, Tina, Hülse, Lisanna, Adams, Ortwin, Andree, Marcel, Hauka, Sandra, Feldt, Torsten, Keitel, Verena, Kindgen-Milles, Detlef, Timm, Jörg, Pfeffer, Klau, T Dilthey, Alexander, Moore, Catherine, Ozdarendeli, Aykut, Terkis Islam Pavel, Shaikh, Yetiskin, Hazel, Aydin, Gunsu, Holyavkin, Can, Ali Uygut, Muhammet, Cevik, Ceren, Shchetinin, Alexey, Gushchin, Vladimir, Dinler-Doganay, Gizem, Doganay, Levent, Kizilboga-Akgun, Tugba, Karacan, Ilker, Pancer, Katarzyna, Maes, Piet, Martí-Carreras, Joan, Wawina-Bokalanga, Tony, Thürmer, Andrea, Wedde, Marianne, Dürrwald, Ralf, Von Kleist, Max, Drechsel, Oliver, Wolff, Thorsten, Fuchs, Stephan, Kmiecinski, Rene, Michel, Janine, Nitsche, Andrea, Casas, Inmaculada, Iglesias Caballero, María, Zaballos, Ángel, Jiménez, Pilar, Jiménez, Mercede, Monzón Fernández, Sara, Varona Fernández, Sarai, Cuesta De La Plaza, Isabel, Fadeev, Artem, Ivanova, Anna, Sergeeva, Mariia, Stefanelli, Paola, Estee Torok, M, Hall, Grant, da Silva Filipe, Ana, Turtle, Lance, Afifi, Safiah, Mccluggage, Kathryn, Beer, Robert, Ledesma, Juan, Maksimovic, Joshua, Spellman, Karla, L Hamilton, William, Marchbank, Angela, Alexander Southgate, Joel, Underwood, Anthony, Taylor, Ben, Yeats, Corin, Abudahab, Khalil, R Gemmell, Matthew, Eccles, Richard, Lucaci, Anita, Abigail Nelson, Charlotte, Rainbow, Lucille, Whitehead, Mark, Gregory, Richard, Haldenby, Sam, Paterson, Steve, A Hughes, Margaret, D Curran, Martin, Baker, David, Tucker, Rachel, R Green, Luke, Feltwell, Theresa, D Halstead, Fenella, Wyles, Matthew, S Jahun, Aminu, Y Ahmad, Shazaad S, Georgana, Iliana, Goodfellow, Ian, Yakovleva, Anna, W Meredith, Luke, Gavriil, Artemi, Raza Awan, Ali, Fisher, Chloe, Jonathan, European Centre for Disease Prevention and Control [Stockholm, Sweden] (ECDC), Cardiff University, Public Health Wales [Cardiff, Royaume uni], University of Basel (Unibas), Research Institute of Influenza, St. Petersburg, Russia, Agency for science, technology and research [Singapore] (A*STAR), National University of Singapore (NUS), University of Edinburgh, WHO Regional Office for Europe [Copenhagen], We gratefully acknowledge the authors, originating and submitting laboratories of the sequences from GISAID’s EpiCoV Database used in the phylogenetic analysis. We gratefully acknowledge all the staff working with sample collection, sample preparation, sequencing, data analysis and data sharing in all laboratories in the WHO European Region for making this work possible, The WHO European Region sequencing laboratories and GISAID EpiCoV group*: Niko Beerenwinkel, Susana Posada-Céspedes, Kim Philipp Jablonski, Pedro Falé Ferreira, Ivan Topolsky, Tatjana Avšič-Županc, Miša Korva, Mario Poljak, Samo Zakotnik, Tomaž Mark Zorec, Karoline Bragstad, Olav Hungnes, Kathrine Stene-Johansen, Chantal Reusken, Adam Meijer, Harry Vennema, Lidia Ruiz-Roldán, María Alma Bracho, Neris García-González, Álvaro Chiner-Oms, Irving Cancino-Muñoz, Iñaki Comas, Galo A Goig, Manuela Torres-Puente, Mariana G López, Llúcia Martínez-Priego, Giuseppe D'Auria, Paula Ruíz-Hueso, Loreto Ferrús-Abad, Griselda de Marco, Inmaculada Galan-Vendrell, Sandra Carbó-Ramirez, Paula Ruiz-Rodriguez, Mireia Coscollá, Katerina Polackova, Lenka Kramna, Ondrej Cinek, Jan Richter, George Krashias, Christina Tryfonos, Stavros Bashiardes, Dana Koptides, Christina Christodoulou, Barbara Bartolini, Cesare Em Gruber, Antonino Di Caro, Concetta Castilletti, Fabrizio Stefani, Sara Giordana Rimoldi, Francesca Romeri, Franco Salerno, Stefano Polesello, Alexander Nagy, Helena Jirincova, Jaromira Vecerova, Ludmila Novakova, Samuel Cordey, Marine Murtskhvaladze, Nato Kotaria, Tobias Schär, Christian Beisel, Oliver Vugrek, Filip Rokić, Lovro Trgovec-Greif, Igor Jurak, Tomislav Rukavina, Neven Sučić, Kristian Schønning, Søren M Karst, Rasmus H Kirkegaard, Thomas Y Michaelsen, Emil Aa Sørensen, Simon Knutson, Jakob Brandt, Vang Le-Quy, Trine Sørensen, Celine Petersen, Martin Schou Pedersen, Sanne Løkkegaard Larsen, Marianne Nielsine Skov, Morten Rasmussen, Jannik Fonager, Anders Fomsgaard, Rinat Amirovich Maksyutov, Elena Vasil'Evna Gavrilova, Oleg Victorovich Pyankov, Sergey Alexandrovich Bodnev, Tatyana Vladimirovna Tregubchak, Alexander Nikolayevich Shvalov, Denis Victorovich Antonets, Paola Cristina Resende, Stephanie Goya, Amandine Perrin, Raphael Tc Lee, Shilpa Yadahalli, Alvin X Han, Colin A Russell, Stefan Schmutz, Maryam Zaheri, Verena Kufner, Michael Huber, Alexandra Trkola, Markus Antwerpen, Mathias C Walter, Sylvie van der Werf, Fabiana Gambaro, Sylvie Behillil, Vincent Enouf, Flora Donati, Monta Ustinova, Vita Rovite, Janis Klovins, Oksana Savicka, Anke K Wienecke-Baldacchino, Catherine Ragimbeau, Guillaume Fournier, Joël Mossong, Stephan W Aberle, Mattias Haukland, Theresa Enkirch, Abdolreza Advani, Maria Lind Karlberg, Oskar Karlsson Lindsjö, Sandra Broddesson, Monika Sláviková, Martina Ličková, Boris Klempa, Edita Staroňová, Elena Tichá, Tomáš Szemes, Diana Rusňáková, Tanja Stadler, Josep Quer, Andres Anton, Cristina Andres, Maria Piñana, Damir Garcia-Cehic, Tomas Pumarola, Jacques Izopet, Georgia Gioula, Maria Exindari, Anna Papa, Dimitrios Chatzidimitriou, Symeon Metallidis, Stella Pappa, Milan Macek Jr, Jan Geryk, Petr Brož, Aleš Briksí, Petr Hubáček, Pavel Dřevínek, Miroslav Zajac, Petr Kvapil, Michal Holub, Kateřina Kvapilová, Adam Novotný, Martin Kašný, Petr Klempt, Olli Vapalahti, Teemu Smura, Tarja Sironen, Philippe Selhorst, Colin Anthony, Kevin Ariën, Etienne Simon-Loriere, Lukasz Rabalski, Krystyna Bienkowska-Szewczyk, Vítor Borges, Joana Isidro, João Paulo Gomes, Raquel Guiomar, Pedro Pechirra, Inês Costa, Sílvia Duarte, Luís Vieira, Krzysztof Pyrc, Neta S Zuckerman, Shahlo Turdikulova, Alisher Abdullaev, Dilbar Dalimova, Abror Abdurakhimov, Adriano Tagliabracci, Federica Alessandrini, Filomena Melchionda, Valerio Onofri, Chiara Turchi, Patrizia Bagnarelli, Stefano Menzo, Sara Caucci, Laura Di Sante, Alexandra Popa, Jakob-Wendelin Genger, Benedikt Agerer, Alexander Lercher, Lukas Endler, Mark Smyth, Thomas Penz, Michael Schuster, Martin Senekowitsch, Jan Laine, Christoph Bock, Andreas Bergthaler, Alexandr Shevtsov, Ruslan Kalendar, Yerlan Ramanculov, Alexander Graf, Maximilian Muenchhoff, Oliver T Keppler, Stefan Krebs, Helmut Blum, Alessandro Marcello, Danilo Licastro, Pierlanfranco D'Agaro, Florian Laubscher, Dejan Vidanovic, Bojana Tesovic, Jeremy Volkening, Nicola Clementi, Nicasio Mancini, Maja Rupnik, Aleksander Mahnic, Andreas Walker, Torsten Houwaart, Tobias Wienemann, Malte Kohns Vasconcelos, Daniel Strelow, Björn-Erik Ole Jensen, Tina Senff, Lisanna Hülse, Ortwin Adams, Marcel Andree, Sandra Hauka, Torsten Feldt, Verena Keitel, Detlef Kindgen-Milles, Jörg Timm, Klaus Pfeffer, Alexander T Dilthey, Catherine Moore, Aykut Ozdarendeli, Shaikh Terkis Islam Pavel, Hazel Yetiskin, Gunsu Aydin, Can Holyavkin, Muhammet Ali Uygut, Ceren Cevik, Alexey Shchetinin, Vladimir Gushchin, Gizem Dinler-Doganay, Levent Doganay, Tugba Kizilboga-Akgun, Ilker Karacan, Katarzyna Pancer, Piet Maes, Joan Martí-Carreras, Tony Wawina-Bokalanga, Bert Vanmechelen, Andrea Thürmer, Marianne Wedde, Ralf Dürrwald, Max Von Kleist, Oliver Drechsel, Thorsten Wolff, Stephan Fuchs, Rene Kmiecinski, Janine Michel, Andreas Nitsche, Inmaculada Casas, María Iglesias Caballero, Ángel Zaballos, Pilar Jiménez, Mercedes Jiménez, Sara Monzón Fernández, Sarai Varona Fernández, Isabel Cuesta De La Plaza, Artem Fadeev, Anna Ivanova, Mariia Sergeeva, Paola Stefanelli, M Estee Torok, Grant Hall, Ana da Silva Filipe, Lance Turtle, Safiah Afifi, Kathryn Mccluggage, Robert Beer, Juan Ledesma, Joshua Maksimovic, Karla Spellman, William L Hamilton, Angela Marchbank, Joel Alexander Southgate, Anthony Underwood, Ben Taylor, Corin Yeats, Khalil Abudahab, Matthew R Gemmell, Richard Eccles, Anita Lucaci, Charlotte Abigail Nelson, Lucille Rainbow, Mark Whitehead, Richard Gregory, Sam Haldenby, Steve Paterson, Margaret A Hughes, Martin D Curran, David Baker, Rachel Tucker, Luke R Green, Theresa Feltwell, Fenella D Halstead, Matthew Wyles, Aminu S Jahun, Shazaad S Y Ahmad, Iliana Georgana, Ian Goodfellow, Anna Yakovleva, Luke W Meredith, Artemis Gavriil, Ali Raza Awan, Chloe Fisher, Jonathan Edgeworth, Jessica Lynch, Nathan Moore, Rebecca Williams, Stephen P Kidd, Nicholas Cortes, Kirstyn Brunker, John T Mccrone, Joshua Quick, Nichola Duckworth, Sarah Walsh, Tim Sloan, Catherine Ludden, Ryan P George, Gary Eltringham, Julianne R Brown, Elihu Aranday-Cortes, James G Shepherd, Joseph Hughes, Kathy K Li, Thomas C Williams, Natasha Johnson, Natasha Jesudason, Daniel Mair, Emma Thomson, Rajiv Shah, Yasmin A Parr, Stephen Carmichael, David L Robertson, Kyriaki Nomikou, Alice Broos, Marc Niebel, Katherine Smollett, Lily Tong, Shahjahan Miah, Anita Wittner, Nicole Phillips, Brendan Payne, Rebecca Dewar, Alison Holmes, Frances Bolt, James R Price, Siddharth Mookerjee, Dheeraj K Sethi, Will Potter, Rachael Stanley, Reenesh Prakash, Samir Dervisevic, Jonathan Clive Graham, Andrew Nelson, Darren Smith, Gregory R Young, Wen Chyin Yew, John A Todd, Amy Trebes, Monique Andersson, Matthew Bull, Joanne Watkins, Alec Birchley, Bree Gatica-Wilcox, Lauren Gilbert, Sara Kumžiene-Summerhayes, Sara Rey, Anoop Chauhan, Ethan Butcher, Kelly Bicknell, Scott Elliott, Sharon Glaysher, Angie Lackenby, David Bibby, Steven Platt, Hodan Mohamed, Nicholas William Machin, Jean Lutamyo Mbisa, Jonathan Evans, Malorie Perry, Nicole Pacchiarini, Sally Corden, Alexander Geraint Adams, Amy Gaskin, Jason Coombs, Lee John Graham, Simon Cottrell, Mari Morgan, Laura Gifford, Anastasia Kolyva, Steven John Rudder, Alexander J Trotter, Alison E Mather, Alp Aydin, Andrew J Page, Gemma L Kay, Leonardo de Oliveira Martins, Muhammad Yasir, Nabil-Fareed Alikhan, Nicholas M Thomson, Rachel Gilroy, Robert A Kingsley, Justin O'Grady, Ana Victoria Gutierrez, Maria Diaz, Thanh Le Viet, Ana P Tedim, Evelien M Adriaenssens, C Patrick Mcclure, Christopher Moore, Fei Sang, Gemma Clark, Hannah C Howson-Wells, Johnny Debebe, Jonathan Ball, Joseph Chappell, Manjinder Khakh, Matthew Carlile, Matthew Loose, Michelle M Lister, Nadine Holmes, Theocharis Tsoleridis, Vicki M Fleming, Victoria Wright, Wendy Smith, Michael D Gallagher, Matthew 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Zeghbib, Anett Kuczmog, Fanni Földes, Zsófia Lanszki, Mónika Madai, Henrietta Papp, Ágnes Nagy, Csaba István Pereszlényi, Gergely Csaba Babinszky, Gábor Dudás, Eszter Csoma, Ahmad N Abou Tayoun, Alawi A Alsheikh-Ali, Tom Loney, Norbert Nowotny, Osama Abdul-Wahab, Fernando Gonzalez-Candelas, Martin H Andersen, Sarah Taylor, Comas, Iñaki [0000-0001-5504-9408], Alm, E., Broberg, E. K., Connor, T., Hodcroft, E. B., Komissarov, A. B., Maurer-Stroh, S., Melidou, A., Neher, R. A., O'Toole, A., Pereyaslov, D., Beerenwinkel, N., Posada-Cespedes, S., Jablonski, K. P., Ferreira, P. F., Topolsky, I., Avsic-Zupanc, T., Korva, M., Poljak, M., Zakotnik, S., Zorec, T. M., Bragstad, K., Hungnes, O., Stene-Johansen, K., Reusken, C., Meijer, A., Vennema, H., Ruiz-Roldan, L., Bracho, M. A., Garcia-Gonzalez, N., Chiner-Oms, A., Cancino-Munoz, I., Comas, I., Goig, G. A., Torres-Puente, M., Lopez, M. G., Martinez-Priego, L., D'Auria, G., Ruiz-Hueso, P., Ferrus-Abad, L., de Marco, G., Galan-Vendrell, I., Carbo-Ramirez, S., Ruiz-Rodriguez, P., Coscolla, M., Polackova, K., Kramna, L., Cinek, O., Richter, J., Krashias, G., Tryfonos, C., Bashiardes, S., Koptides, D., Christodoulou, C., Bartolini, B., Gruber, C. E., Di Caro, A., Castilletti, C., Stefani, F., Rimoldi, S. G., Romeri, F., Salerno, F., Polesello, S., Nagy, A., Jirincova, H., Vecerova, J., Novakova, L., Cordey, S., Murtskhvaladze, M., Kotaria, N., Schar, T., Beisel, C., Vugrek, O., Rokic, F., Trgovec-Greif, L., Jurak, I., Rukavina, T., Sucic, N., Schonning, K., Karst, S. M., Kirkegaard, R. H., Michaelsen, T. Y., Sorensen, E. A., Knutson, S., Brandt, J., Le-Quy, V., Sorensen, T., Petersen, C., Pedersen, M. S., Larsen, S. L., Skov, M. N., Rasmussen, M., Fonager, J., Fomsgaard, A., Maksyutov, R. A., Gavrilova, E. V., Pyankov, O. V., Bodnev, S. A., Tregubchak, T. V., Shvalov, A. N., Antonets, D. V., Resende, P. C., Goya, S., Perrin, A., Lee, R. T., Yadahalli, S., Han, A. X., Russell, C. A., Schmutz, S., Zaheri, M., Kufner, V., Huber, M., Trkola, A., Antwerpen, M., Walter, M. C., van der Werf, S., Gambaro, F., Behillil, S., Enouf, V., Donati, F., Ustinova, M., Rovite, V., Klovins, J., Savicka, O., Wienecke-Baldacchino, A. K., Ragimbeau, C., Fournier, G., Mossong, J., Aberle, S. W., Haukland, M., Enkirch, T., Advani, A., Karlberg, M. L., Lindsjo, O. K., Broddesson, S., Slavikova, M., Lickova, M., Klempa, B., Staronova, E., Ticha, E., Szemes, T., Rusnakova, D., Stadler, T., Quer, J., Anton, A., Andres, C., Pinana, M., Garcia-Cehic, D., Pumarola, T., Izopet, J., Gioula, G., Exindari, M., Papa, A., Chatzidimitriou, D., Metallidis, S., Pappa, S., Macek, M., Geryk, J., Broz, P., Briksi, A., Hubacek, P., Drevinek, P., Zajac, M., Kvapil, P., Holub, M., Kvapilova, K., Novotny, A., Kasny, M., Klempt, P., Vapalahti, O., Smura, T., Sironen, T., Selhorst, P., Anthony, C., Arien, K., Simon-Loriere, E., Rabalski, L., Bienkowska-Szewczyk, K., Borges, V., Isidro, J., Gomes, J. P., Guiomar, R., Pechirra, P., Costa, I., Duarte, S., Vieira, L., Pyrc, K., Zuckerman, N. S., Turdikulova, S., Abdullaev, A., Dalimova, D., Abdurakhimov, A., Tagliabracci, A., Alessandrini, F., Melchionda, F., Onofri, V., Turchi, C., Bagnarelli, P., Menzo, S., Caucci, S., Di Sante, L., Popa, A., Genger, J. -W., Agerer, B., Lercher, A., Endler, L., Smyth, M., Penz, T., Schuster, M., Senekowitsch, M., Laine, J., Bock, C., Bergthaler, A., Shevtsov, A., Kalendar, R., Ramanculov, Y., Graf, A., Muenchhoff, M., Keppler, O. T., Krebs, S., Blum, H., Marcello, A., Licastro, D., D'Agaro, P., Laubscher, F., Vidanovic, D., Tesovic, B., Volkening, J., Clementi, N., Mancini, N., Rupnik, M., Mahnic, A., Walker, A., Houwaart, T., Wienemann, T., Vasconcelos, M. K., Strelow, D., Jensen, B. -E. O., Senff, T., Hulse, L., Adams, O., Andree, M., Hauka, S., Feldt, T., Keitel, V., Kindgen-Milles, D., Timm, J., Pfeffer, K., Dilthey, A. T., Moore, C., Ozdarendeli, A., Pavel, S. T. I., Yetiskin, H., Aydin, G., Holyavkin, C., Uygut, M. A., Cevik, C., Shchetinin, A., Gushchin, V., Dinler-Doganay, G., Doganay, L., Kizilboga-Akgun, T., Karacan, I., Pancer, K., Maes, P., Marti-Carreras, J., Wawina-Bokalanga, T., Vanmechelen, B., Thurmer, A., Wedde, M., Durrwald, R., von Kleist, M., Drechsel, O., Wolff, T., Fuchs, S., Kmiecinski, R., Michel, J., Nitsche, A., Casas, I., Caballero, M. I., Zaballos, A., Jimenez, P., Jimenez, M., Fernandez, S. M., Fernandez, S. V., de la Plaza, I. C., Fadeev, A., Ivanova, A., Sergeeva, M., Stefanelli, P., Estee Torok, M., Hall, G., da Silva Filipe, A., Turtle, L., Afifi, S., Mccluggage, K., Beer, R., Ledesma, J., Maksimovic, J., Spellman, K., Hamilton, W. L., Marchbank, A., Southgate, J. A., Underwood, A., Taylor, B., Yeats, C., Abudahab, K., Gemmell, M. R., Eccles, R., Lucaci, A., Nelson, C. A., Rainbow, L., Whitehead, M., Gregory, R., Haldenby, S., Paterson, S., Hughes, M. A., Curran, M. D., Baker, D., Tucker, R., Green, L. R., Feltwell, T., Halstead, F. D., Wyles, M., Jahun, A. S., Ahmad, S. S. Y., Georgana, I., Goodfellow, I., Yakovleva, A., Meredith, L. W., Gavriil, A., Awan, A. R., Fisher, C., Edgeworth, J., Lynch, J., Moore, N., Williams, R., Kidd, S. P., Cortes, N., Brunker, K., Mccrone, J. T., Quick, J., Duckworth, N., Walsh, S., Sloan, T., Ludden, C., George, R. P., Eltringham, G., Brown, J. R., Aranday-Cortes, E., Shepherd, J. G., Hughes, J., Li, K. K., Williams, T. C., Johnson, N., Jesudason, N., Mair, D., Thomson, E., Shah, R., Parr, Y. A., Carmichael, S., Robertson, D. L., Nomikou, K., Broos, A., Niebel, M., Smollett, K., Tong, L., Miah, S., Wittner, A., Phillips, N., Payne, B., Dewar, R., Holmes, A., Bolt, F., Price, J. R., Mookerjee, S., Sethi, D. K., Potter, W., Stanley, R., Prakash, R., Dervisevic, S., Graham, J. C., Nelson, A., Smith, D., Young, G. R., Yew, W. C., Todd, J. A., Trebes, A., Andersson, M., Bull, M., Watkins, J., Birchley, A., Gatica-Wilcox, B., Gilbert, L., Kumziene-Summerhayes, S., Rey, S., Chauhan, A., Butcher, E., Bicknell, K., Elliott, S., Glaysher, S., Lackenby, A., Bibby, D., Platt, S., Mohamed, H., Machin, N. W., Mbisa, J. L., Evans, J., Perry, M., Pacchiarini, N., Corden, S., Adams, A. G., Gaskin, A., Coombs, J., Graham, L. J., Cottrell, S., Morgan, M., Gifford, L., Kolyva, A., Rudder, S. J., Trotter, A. J., Mather, A. E., Aydin, A., Page, A. J., Kay, G. L., de Oliveira Martins, L., Yasir, M., Alikhan, N. -F., Thomson, N. M., Gilroy, R., Kingsley, R. A., O'Grady, J., Gutierrez, A. V., Diaz, M., Viet, T. L., Tedim, A. P., Adriaenssens, E. M., Patrick Mcclure, C., Sang, F., Clark, G., Howson-Wells, H. C., Debebe, J., Ball, J., Chappell, J., Khakh, M., Carlile, M., Loose, M., Lister, M. M., Holmes, N., Tsoleridis, T., Fleming, V. M., Wright, V., Smith, W., Gallagher, M. D., Parker, M., Partridge, D. G., Evans, C., Baker, P., Essex, S., Liggett, S., Keeley, A. J., Bashton, M., Rooke, S., Dervisavic, S., Meader, E. J., Lopez, C. E. B., Angyal, A., Kristiansen, M., Tutill, H. J., Findlay, J., Mestek-Boukhibar, L., Forrest, L., Dyal, P., Williams, R. J., Panchbhaya, Y., Williams, C. A., Roy, S., Pandey, S., Stockton, J., Loman, N. J., Poplawski, R., Nicholls, S., Rowe, W. P. M., Khokhar, F., Pinckert, M. L., Hosmillo, M., Chaudhry, Y., Caller, L. G., Davidson, R. K., Griffith, L., Rambaut, A., Jackson, B., Colquhoun, R., Hill, V., Nichols, J., Asamaphan, P., Darby, A., Jackson, K. A., Iturriza-Gomara, M., Vamos, E. E., Green, A., Aanensen, D., Bonsall, D., Buck, D., Macintyre-Cockett, G., de Cesare, M., Pybus, O., Golubchik, T., Scarlett, G., Loveson, K. F., Robson, S. C., Beckett, A., Lindsey, B., Groves, D. C., Parsons, P. J., Mchugh, M. P., Barnes, J. D., Manso, C. F., Grammatopoulos, D., Menger, K. E., Harrison, E., Gunson, R., Peacock, S. J., Gonzalez, G., Carr, M., Mihaela, L., Popovici, O., Brytting, M., Bresner, C., Fuller, W., Workman, T., Mentis, A. F., Kossyvakis, A., Karamitros, T., Pogka, V., Kalliaropoulos, A., Horefti, E., Kontou, A., Martinez-Gonzalez, B., Labropoulou, V., Voulgari-Kokota, A., Evangelidou, M., Bizta, P., Belimezi, M., Lambrechts, L., Doymaz, M. Z., Yazici, M. K., Cetin, N. S., Karaaslan, E., Kallio-Kokko, H., Virtanen, J., Suvanto, M., Nguyen, P. T., Ellonen, P., Hannula, S., Kangas, H., Sreenu, V. B., Burian, K., Terhes, G., Gombos, K., Gyenesei, A., Urban, P., Herczeg, R., Jakab, F., Kemenesi, G., Toth, G. E., Somogyi, B., Zana, B., Zeghbib, S., Kuczmog, A., Foldes, F., Lanszki, Z., Madai, M., Papp, H., Pereszlenyi, C. I., Babinszky, G. C., Dudas, G., Csoma, E., Abou Tayoun, A. N., Alsheikh-Ali, A. A., Loney, T., Nowotny, N., Abdul-Wahab, O., Gonzalez-Candelas, F., Andersen, M. H., Taylor, S., European Centre for Disease Prevention and Control (ECDC), Public Health Wales Microbiology Cardiff, Faculty of Agriculture and Forestry, Department of Agricultural Sciences, and Institute of Biotechnology
- Subjects
Infecções Respiratórias ,0301 basic medicine ,MESH: Coronavirus Infections ,Epidemiology ,[SDV]Life Sciences [q-bio] ,Distribution (economics) ,Wastewater ,MESH: Base Sequence ,Severe Acute Respiratory Syndrome ,MESH: World Health Organization ,Pandemic ,MESH: Coronavirus ,MESH: COVID-19 ,Sequencing ,Viral ,Clade ,Nomenclature ,Genome ,biology ,COVID-19 ,Europe ,NGS ,SARS-CoV-2 ,WGS ,nomenclature ,sequencing ,Base Sequence ,Betacoronavirus ,Coronavirus ,Coronavirus Infections ,Genome, Viral ,Humans ,Phylogeography ,Pneumonia, Viral ,RNA, Viral ,RNA-Dependent RNA Polymerase ,Spatio-Temporal Analysis ,World Health Organization ,Pandemics ,C500 ,European region ,3. Good health ,Geography ,MESH: Phylogeography ,MESH: RNA-Dependent RNA Polymerase ,MESH: RNA, Viral ,MESH: Betacoronavirus ,Spatio-Temporal Analysi ,MESH: Genome, Viral ,Cartography ,Human ,Bioquímica ,MESH: Pandemics ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Coronaviru ,030106 microbiology ,03 medical and health sciences ,MESH: Spatio-Temporal Analysis ,MESH: Severe Acute Respiratory Syndrome ,Virology ,MESH: SARS-CoV-2 ,Whole genome sequencing ,MESH: Humans ,Whole Genome Sequencing ,Betacoronaviru ,Coronavirus Infection ,business.industry ,Public Health, Environmental and Occupational Health ,Pneumonia ,biology.organism_classification ,B900 ,030104 developmental biology ,MESH: Pneumonia, Viral ,RNA ,SARS_CoV-2 ,3111 Biomedicine ,MESH: Europe ,Human medicine ,business - Abstract
8 páginas, 3 figuras, We show the distribution of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genetic clades over time and between countries and outline potential genomic surveillance objectives. We applied three genomic nomenclature systems to all sequence data from the World Health Organization European Region available until 10 July 2020. We highlight the importance of real-time sequencing and data dissemination in a pandemic situation, compare the nomenclatures and lay a foundation for future European genomic surveillance of SARS-CoV-2., We gratefully acknowledge the authors, originating and submitting laboratories of the sequences from GISAID’s EpiCoV Database used in the phylogenetic analysis. We gratefully acknowledge all the staff working with sample collection, sample preparation, sequencing, data analysis and data sharing in all laboratories in the WHO European Region for making this work possible.
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19. Investigation of an excess of Salmonella enteritidis phage type 14b and MLVA type 4-7-3-13-10-2-2 in Luxembourg, Belgium and Germany during 2010
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Joël Mossong, Ragimbeau C, Schuh J, Weicherding P, Peetso R, Wildemauwe C, Imberechts H, Rabsch W, and Bertrand S
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Belgium ,Salmonella enteritidis ,Luxembourg ,Eggs ,Germany ,Salmonella Infections ,Food Microbiology ,Humans ,Salmonella Food Poisoning ,Minisatellite Repeats ,Salmonella Phages ,Bacteriophage Typing ,Disease Outbreaks - Abstract
We investigated an increase of human cases of Salmonella Enteritidis occurring from August until November 2010 in Belgium, Luxembourg and Germany involving an estimated three hundred laboratory confirmed cases. Molecular typing indicated that the increase in Luxembourg and Belgium was due a particular strain having phage type 14b, MLVA pattern 4-7-3-13-10-2-2 and fully susceptible to the Enternet panel of antibiotics. MLVA and phage typing were found to have similar discriminatory power on a collection of 40 Belgian and Luxembourg strains isolated during 2010. Epidemiological investigations in Luxembourg suggested eggs as a possible source for some cases, although supermarket eggs tested were negative. No other EU countries observed a substantial increase of cases, although three smaller outbreaks in Germany were also due to a strain with the same phage type and MLVA pattern. In 2010 the EU directive banning battery cages came into force in Germany followed by a dioxin food scare incident. Given that the EU Laying Hens Directive will come into force across all Member States in 2012, a closer monitoring of Salmonella contamination of imported eggs at retail and wholesale level is recommended.
20. Metagenomics-based proficiency test of smoked salmon spiked with a mock community
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Gerardo Manfreda, Hanne Mordhorst, Richard J. Ellis, Thomas Nordahl Petersen, Frank Møller Aarestrup, Rene S. Hendriksen, Fiona Crispie, Claudia Sala, Alessandra De Cesare, Josephine Grützke, Paul D. Cotter, Mikhayil Hakhverdyan, Annika Brinkmann, Andreas Nitsche, Moon Y. F. Tay, Catherine Ragimbeau, Joël Mossong, Julien Schaeffer, Gastone Castellani, Joergen Schlundt, Soizick Le Guyader, Sünje Johanna Pamp, Casper Sahl Poulsen, Clara Amid, School of Chemical and Biomedical Engineering, NTU Food Technology Centre, Sala C., Mordhorst H., Grutzke J., Brinkmann A., Petersen T.N., Poulsen C., Cotter P.D., Crispie F., Ellis R.J., Castellani G., Amid C., Hakhverdyan M., Le Guyader S., Manfreda G., Mossong J., Nitsche A., Ragimbeau C., Schaeffer J., Schlundt J., Tay M.Y.F., Aarestrup F.M., Hendriksen R.S., Pamp S.J., and De Cesare A.
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Microbiology (medical) ,proficiency test ,Library preparation ,Shotgun ,Proficiency test ,Computational biology ,wet-lab protocols ,Biology ,Microbiology ,Article ,03 medical and health sciences ,Smoked Salmon ,food ,Experimentally spiked sample ,Virology ,experimentally spiked samples ,ddc:610 ,lcsh:QH301-705.5 ,030304 developmental biology ,0303 health sciences ,030306 microbiology ,Biological sciences [Science] ,Food sample ,Smoked salmon ,DNA extraction ,food.food ,Wet-lab protocols ,Shotgun Metagenomics ,lcsh:Biology (General) ,Shotgun metagenomic ,Metagenomics ,610 Medizin und Gesundheit ,Shotgun metagenomics ,shotgun metagenomics - Abstract
An inter-laboratory proficiency test was organized to assess the ability of participants to perform shotgun metagenomic sequencing of cold smoked salmon, experimentally spiked with a mock community composed of six bacteria, one parasite, one yeast, one DNA, and two RNA viruses. Each participant applied its in-house wet-lab workflow(s) to obtain the metagenomic dataset(s), which were then collected and analyzed using MG-RAST. A total of 27 datasets were analyzed. Sample pre-processing, DNA extraction protocol, library preparation kit, and sequencing platform, influenced the abundance of specific microorganisms of the mock community. Our results highlight that despite differences in wet-lab protocols, the reads corresponding to the mock community members spiked in the cold smoked salmon, were both detected and quantified in terms of relative abundance, in the metagenomic datasets, proving the suitability of shotgun metagenomic sequencing as a genomic tool to detect microorganisms belonging to different domains in the same food matrix. The implementation of standardized wet-lab protocols would highly facilitate the comparability of shotgun metagenomic sequencing dataset across laboratories and sectors. Moreover, there is a need for clearly defining a sequencing reads threshold, to consider pathogens as detected or undetected in a food sample. Published version
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- 2020
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21. Exploring the Role of the Environment as a Reservoir of Antimicrobial-Resistant Campylobacter : Insights from Wild Birds and Surface Waters.
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Hock L, Walczak C, Mosser J, Ragimbeau C, and Cauchie HM
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Antimicrobial resistance (AMR) is a growing global health challenge, compromising bacterial infection treatments and necessitating robust surveillance and mitigation strategies. The overuse of antimicrobials in humans and farm animals has made them hotspots for AMR. However, the spread of AMR genes in wildlife and the environment represents an additional challenge, turning these areas into new AMR hotspots. Among the AMR bacteria considered to be of high concern for public health, Campylobacter has been the leading cause of foodborne infections in the European Union since 2005. This study examines the prevalence of AMR genes and virulence factors in Campylobacter isolates from wild birds and surface waters in Luxembourg. The findings reveal a significant prevalence of resistant Campylobacter strains, with 12% of C. jejuni from wild birds and 37% of C. coli from surface waters carrying resistance genes, mainly against key antibiotics like quinolones and tetracycline. This study underscores the crucial role of the environment in the spread of AMR bacteria and genes, highlighting the urgent need for enhanced surveillance and control measures to curb AMR in wildlife and environmental reservoirs and reduce transmission risks to humans. This research supports One Health approaches to tackling antimicrobial resistance and protecting human, animal, and environmental health.
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- 2024
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22. Environmental dynamics of Campylobacter jejuni genotypes circulating in Luxembourg: what is the role of wild birds?
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Hock L, Herold M, Walczak C, Schoos A, Penny C, Cauchie HM, and Ragimbeau C
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- Animals, Humans, Luxembourg epidemiology, Animals, Wild microbiology, Birds microbiology, Genotype, Campylobacter jejuni, Campylobacter Infections microbiology
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Campylobacter jejuni is the leading cause of bacterial gastroenteritis worldwide, but, unlike other foodborne pathogens, is not commonly reported as causing outbreaks. The population structure of the species is characterized by a high degree of genetic diversity, but the presence of stable clonally derived genotypes persisting in space and time, and potentially leading to diffuse outbreaks, has recently been identified. The spread of these recurring genotypes could be enhanced by wild birds, suspected to act as vectors for a wide range of microorganisms that can be transmissible to other animals or humans. This study assessed the genetic diversity of C. jejuni carriage in wild birds and surface waters to explore a potential link between these environments and the persistence over years of recurring lineages infecting humans in Luxembourg. These lineages corresponded to over 40 % of clinical isolates over a 4 year period from 2018 to 2021. While mainly exotic genotypes were recovered from environmental samples, 4 % of C. jejuni from wild birds corresponded to human recurring genotypes. Among them, a human clinical endemic lineage, occurring for over a decade in Luxembourg, was detected in one bird species, suggesting a possible contribution to the persistence of this clone and its multi-host feature. Whereas 27 % of wild birds were carriers of C. jejuni, confirming their role as spreader or reservoir, only three out of 59 genotypes overlapped with recurring human strains. While direct transmission of C. jejuni infection through wild birds remains questionable, they may play a key role in the environmental spreading of stable clones to livestock, and this issue merits further investigation.
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- 2023
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23. Metagenomic Strain-Typing Combined with Isolate Sequencing Provides Increased Resolution of the Genetic Diversity of Campylobacter jejuni Carriage in Wild Birds.
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Herold M, Hock L, Penny C, Walczak C, Djabi F, Cauchie HM, and Ragimbeau C
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As the world's leading cause of human gastro-enteritis, the food- and waterborne pathogen Campylobacter needs to be intensively monitored through a One Health approach. Particularly, wild birds have been hypothesized to contribute to the spread of human clinical recurring C. jejuni genotypes across several countries. A major concern in studying epidemiological dynamics is resolving the large genomic diversity of strains circulating in the environment and various reservoirs, challenging to achieve with isolation techniques. Here, we applied a passive-filtration method to obtain isolates and in parallel recovered genotypes from metagenomic sequencing data from associated filter sweeps. For genotyping mixed strains, a reference-based computational workflow to predict allelic profiles of nine extended-MLST loci was utilized. We validated the pipeline by sequencing artificial mixtures of C. jejuni strains and observed the highest prediction accuracy when including obtained isolates as references. By analyzing metagenomic samples, we were able to detect over 20% additional genetic diversity and observed an over 50% increase in the potential to connect genotypes across wild-bird samples. With an optimized filtration method and a computational approach for genotyping strain mixtures, we provide the foundation for future studies assessing C. jejuni diversity in environmental and clinical settings at improved throughput and resolution.
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- 2023
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24. Metaphenotypes associated with recurrent genomic lineages of Campylobacter jejuni responsible for human infections in Luxembourg.
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Nennig M, Clément A, Longueval E, Bernardi T, Ragimbeau C, and Tresse O
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Campylobacter jejuni is a leading cause of foodborne illnesses worldwide. Although considered fragile, this microaerophilic bacterium is able to survive in various challenging environments, which subsequently constitutes multiple sources of transmission for human infection. To test the assumption of acquiring specific features for adaptation and survival, we established a workflow of phenotypic tests related to the survival and the persistence of recurrent and sporadic strains. A representative collection of 83 strains isolated over 13 years from human, mammal, poultry, and environmental sources in Luxembourg, representing different spreading patterns (endemic, epidemic, and sporadic), was screened for survival to oxidative stresses, for acclimating to aerobic conditions (AC), and for persistence on abiotic surfaces. Using the cgMLST Oxford typing scheme for WGS data, the collection was classified into genomic lineages corresponding to host-generalist strains (lineages A and D, CC ST-21), host-specific strains (lineage B, CC ST-257 and lineage C, CC ST-464) and sporadic strains. We established that when a strain survives concentrations beyond 0.25 mM superoxide stress, it is six times more likely to survive hyperoxide stress and that a highly adherent strain is 14 times more likely to develop a biofilm. Surprisingly, more than half of the strains could acclimate to AC but this capacity does not explain the difference between recurrent genomic lineages and sporadic strains and the survival to oxidative stresses, while recurrent strains have a significantly higher adhesion/biofilm formation capacity than sporadic ones. From this work, the genomic lineages with more stable genomes could be characterized by a specific combination of phenotypes, called metaphenotypes. From the functional genomic analyses, the presence of a potentially functional T6SS in the strains of lineage D might explain the propensity of these strains to be strong biofilm producers. Our findings support the hypothesis that phenotypical abilities contribute to the spatio-temporal adaptation and survival of stable genomic lineages. It suggests a selection of better-adapted and persistent strains in challenging stress environments, which could explain the prevalence of these lineages in human infections., Competing Interests: AC and TB were employed by the company Biofilm Control SAS. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Nennig, Clément, Longueval, Bernardi, Ragimbeau and Tresse.)
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- 2022
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25. Investigation of an international outbreak of multidrug-resistant monophasic Salmonella Typhimurium associated with chocolate products, EU/EEA and United Kingdom, February to April 2022.
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Larkin L, Pardos de la Gandara M, Hoban A, Pulford C, Jourdan-Da Silva N, de Valk H, Browning L, Falkenhorst G, Simon S, Lachmann R, Dryselius R, Karamehmedovic N, Börjesson S, van Cauteren D, Laisnez V, Mattheus W, Pijnacker R, van den Beld M, Mossong J, Ragimbeau C, Vergison A, Thorstensen Brandal L, Lange H, Garvey P, Nielsen CS, Herrera León S, Varela C, Chattaway M, Weill FX, Brown D, and McKeown P
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- Child, Child, Preschool, Disease Outbreaks, Humans, United Kingdom epidemiology, Chocolate, Salmonella typhimurium genetics
- Abstract
An extensive multi-country outbreak of multidrug-resistant monophasic Salmonella Typhimurium infection in 10 countries with 150 reported cases, predominantly affecting young children, has been linked to chocolate products produced by a large multinational company. Extensive withdrawals and recalls of multiple product lines have been undertaken. With Easter approaching, widespread product distribution and the vulnerability of the affected population, early and effective real-time sharing of microbiological and epidemiological information has been of critical importance in effectively managing this serious food-borne incident.
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- 2022
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26. Combination of MALDI-TOF Mass Spectrometry and Machine Learning for Rapid Antimicrobial Resistance Screening: The Case of Campylobacter spp.
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Feucherolles M, Nennig M, Becker SL, Martiny D, Losch S, Penny C, Cauchie HM, and Ragimbeau C
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While MALDI-TOF mass spectrometry (MS) is widely considered as the reference method for the rapid and inexpensive identification of microorganisms in routine laboratories, less attention has been addressed to its ability for detection of antimicrobial resistance (AMR). Recently, some studies assessed its potential application together with machine learning for the detection of AMR in clinical pathogens. The scope of this study was to investigate MALDI-TOF MS protein mass spectra combined with a prediction approach as an AMR screening tool for relevant foodborne pathogens, such as Campylobacter coli and Campylobacter jejuni . A One-Health panel of 224 C. jejuni and 116 C. coli strains was phenotypically tested for seven antimicrobial resistances, i.e., ciprofloxacin, erythromycin, tetracycline, gentamycin, kanamycin, streptomycin, and ampicillin, independently, and were submitted, after an on- and off-plate protein extraction, to MALDI Biotyper analysis, which yielded one average spectra per isolate and type of extraction. Overall, high performance was observed for classifiers detecting susceptible as well as ciprofloxacin- and tetracycline-resistant isolates. A maximum sensitivity and a precision of 92.3 and 81.2%, respectively, were reached. No significant prediction performance differences were observed between on- and off-plate types of protein extractions. Finally, three putative AMR biomarkers for fluoroquinolones, tetracyclines, and aminoglycosides were identified during the current study. Combination of MALDI-TOF MS and machine learning could be an efficient and inexpensive tool to swiftly screen certain AMR in foodborne pathogens, which may enable a rapid initiation of a precise, targeted antibiotic treatment., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Feucherolles, Nennig, Becker, Martiny, Losch, Penny, Cauchie and Ragimbeau.)
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- 2022
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27. Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity of Campylobacter jejuni and Comparison with MLST and cgMLST: A Luxembourg One-Health Study.
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Feucherolles M, Nennig M, Becker SL, Martiny D, Losch S, Penny C, Cauchie HM, and Ragimbeau C
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There is a need for active molecular surveillance of human and veterinary Campylobacter infections. However, sequencing of all isolates is associated with high costs and a considerable workload. Thus, there is a need for a straightforward complementary tool to prioritize isolates to sequence. In this study, we proposed to investigate the ability of MALDI-TOF MS to pre-screen C. jejuni genetic diversity in comparison to MLST and cgMLST. A panel of 126 isolates, with 10 clonal complexes (CC), 21 sequence types (ST) and 42 different complex types (CT) determined by the SeqSphere+ cgMLST, were analysed by a MALDI Biotyper, resulting into one average spectra per isolate. Concordance and discriminating ability were evaluated based on protein profiles and different cut-offs. A random forest algorithm was trained to predict STs. With a 94% similarity cut-off, an AWC of 1.000, 0.933 and 0.851 was obtained for MLST
CC , MLSTST and cgMLST profile, respectively. The random forest classifier showed a sensitivity and specificity up to 97.5% to predict four different STs. Protein profiles allowed to predict C. jejuni CCs, STs and CTs at 100%, 93% and 85%, respectively. Machine learning and MALDI-TOF MS could be a fast and inexpensive complementary tool to give an early signal of recurrent C. jejuni on a routine basis.- Published
- 2021
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28. Investigating Major Recurring Campylobacter jejuni Lineages in Luxembourg Using Four Core or Whole Genome Sequencing Typing Schemes.
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Nennig M, Llarena AK, Herold M, Mossong J, Penny C, Losch S, Tresse O, and Ragimbeau C
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- Genome, Bacterial, Luxembourg epidemiology, Multilocus Sequence Typing, Pilot Projects, Whole Genome Sequencing, Campylobacter jejuni genetics
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Campylobacter jejuni is the leading cause of bacterial gastroenteritis, which has motivated the monitoring of genetic profiles circulating in Luxembourg since 13 years. From our integrated surveillance using a genotyping strategy based on an extended MLST scheme including gyrA and porA markers, an unexpected endemic pattern was discovered in the temporal distribution of genotypes. We aimed to test the hypothesis of stable lineages occurrence by implementing whole genome sequencing (WGS) associated with comprehensive and internationally validated schemes. This pilot study assessed four WGS-based typing schemes to classify a panel of 108 strains previously identified as recurrent or sporadic profiles using this in-house typing system. The strain collection included four common lineages in human infection (N = 67) initially identified from recurrent combination of ST- gyrA - porA alleles also detected in non-human samples: veterinary (N = 19), food (N = 20), and environmental (N = 2) sources. An additional set of 19 strains belonging to sporadic profiles completed the tested panel. All the strains were processed by WGS by using Illumina technologies and by applying stringent criteria for filtering sequencing data; we ensure robustness in our genomic comparison. Four typing schemes were applied to classify the strains: (i) the cgMLST SeqSphere+ scheme of 637 loci, (ii) the cgMLST Oxford scheme of 1,343 loci, (iii) the cgMLST INNUENDO scheme of 678 loci, and (iv) the wgMLST INNUENDO scheme of 2,795 loci. A high concordance between the typing schemes was determined by comparing the calculated adjusted Wallace coefficients. After quality control and analyses with these four typing schemes, 60 strains were confirmed as members of the four recurrent lineages regardless of the method used (N = 32, 12, 7, and 9, respectively). Our results indicate that, regardless of the typing scheme used, epidemic or endemic signals were detected as reflected by lineage B (ST2254- gyrA 9- porA 1) in 2014 or lineage A (ST19- gyrA 8- porA 7), respectively. These findings support the clonal expansion of stable genomes in Campylobacter population exhibiting a multi-host profile and accounting for the majority of clinical strains isolated over a decade. Such recurring genotypes suggest persistence in reservoirs, sources or environment, emphasizing the need to investigate their survival strategy in greater depth., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Nennig, Llarena, Herold, Mossong, Penny, Losch, Tresse and Ragimbeau.)
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- 2021
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29. ResFinder 4.0 for predictions of phenotypes from genotypes.
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Bortolaia V, Kaas RS, Ruppe E, Roberts MC, Schwarz S, Cattoir V, Philippon A, Allesoe RL, Rebelo AR, Florensa AF, Fagelhauer L, Chakraborty T, Neumann B, Werner G, Bender JK, Stingl K, Nguyen M, Coppens J, Xavier BB, Malhotra-Kumar S, Westh H, Pinholt M, Anjum MF, Duggett NA, Kempf I, Nykäsenoja S, Olkkola S, Wieczorek K, Amaro A, Clemente L, Mossong J, Losch S, Ragimbeau C, Lund O, and Aarestrup FM
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- Animals, Genotype, Humans, Microbial Sensitivity Tests, Phenotype, Anti-Bacterial Agents pharmacology, Drug Resistance, Bacterial
- Abstract
Objectives: WGS-based antimicrobial susceptibility testing (AST) is as reliable as phenotypic AST for several antimicrobial/bacterial species combinations. However, routine use of WGS-based AST is hindered by the need for bioinformatics skills and knowledge of antimicrobial resistance (AMR) determinants to operate the vast majority of tools developed to date. By leveraging on ResFinder and PointFinder, two freely accessible tools that can also assist users without bioinformatics skills, we aimed at increasing their speed and providing an easily interpretable antibiogram as output., Methods: The ResFinder code was re-written to process raw reads and use Kmer-based alignment. The existing ResFinder and PointFinder databases were revised and expanded. Additional databases were developed including a genotype-to-phenotype key associating each AMR determinant with a phenotype at the antimicrobial compound level, and species-specific panels for in silico antibiograms. ResFinder 4.0 was validated using Escherichia coli (n = 584), Salmonella spp. (n = 1081), Campylobacter jejuni (n = 239), Enterococcus faecium (n = 106), Enterococcus faecalis (n = 50) and Staphylococcus aureus (n = 163) exhibiting different AST profiles, and from different human and animal sources and geographical origins., Results: Genotype-phenotype concordance was ≥95% for 46/51 and 25/32 of the antimicrobial/species combinations evaluated for Gram-negative and Gram-positive bacteria, respectively. When genotype-phenotype concordance was <95%, discrepancies were mainly linked to criteria for interpretation of phenotypic tests and suboptimal sequence quality, and not to ResFinder 4.0 performance., Conclusions: WGS-based AST using ResFinder 4.0 provides in silico antibiograms as reliable as those obtained by phenotypic AST at least for the bacterial species/antimicrobial agents of major public health relevance considered., (© The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy.)
- Published
- 2020
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30. Metagenomics-Based Proficiency Test of Smoked Salmon Spiked with a Mock Community.
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Sala C, Mordhorst H, Grützke J, Brinkmann A, Petersen TN, Poulsen C, Cotter PD, Crispie F, Ellis RJ, Castellani G, Amid C, Hakhverdyan M, Guyader SL, Manfreda G, Mossong J, Nitsche A, Ragimbeau C, Schaeffer J, Schlundt J, Tay MYF, Aarestrup FM, Hendriksen RS, Pamp SJ, and De Cesare A
- Abstract
An inter-laboratory proficiency test was organized to assess the ability of participants to perform shotgun metagenomic sequencing of cold smoked salmon, experimentally spiked with a mock community composed of six bacteria, one parasite, one yeast, one DNA, and two RNA viruses. Each participant applied its in-house wet-lab workflow(s) to obtain the metagenomic dataset(s), which were then collected and analyzed using MG-RAST. A total of 27 datasets were analyzed. Sample pre-processing, DNA extraction protocol, library preparation kit, and sequencing platform, influenced the abundance of specific microorganisms of the mock community. Our results highlight that despite differences in wet-lab protocols, the reads corresponding to the mock community members spiked in the cold smoked salmon, were both detected and quantified in terms of relative abundance, in the metagenomic datasets, proving the suitability of shotgun metagenomic sequencing as a genomic tool to detect microorganisms belonging to different domains in the same food matrix. The implementation of standardized wet-lab protocols would highly facilitate the comparability of shotgun metagenomic sequencing dataset across laboratories and sectors. Moreover, there is a need for clearly defining a sequencing reads threshold, to consider pathogens as detected or undetected in a food sample.
- Published
- 2020
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31. Campylobacter armoricus sp. nov., a novel member of the Campylobacter lari group isolated from surface water and stools from humans with enteric infection.
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Boukerb AM, Penny C, Serghine J, Walczak C, Cauchie HM, Miller WG, Losch S, Ragimbeau C, Mossong J, Mégraud F, Lehours P, Bénéjat L, and Gourmelon M
- Subjects
- Bacterial Typing Techniques, Base Composition, Campylobacter isolation & purification, DNA, Bacterial genetics, France, Genes, Bacterial, Humans, RNA, Ribosomal, 16S genetics, Sequence Analysis, DNA, Campylobacter classification, Feces microbiology, Phylogeny, Water Microbiology
- Abstract
During a study on the prevalence and diversity of members of the genus Campylobacte r in a shellfish-harvesting area and its catchment in Brittany, France, six urease-positive isolates of members of the genus Campylobacter were recovered from surface water samples, as well as three isolates from stools of humans displaying enteric infection in the same period. These strains were initially identified as members of the Campylobacter lari group by MALDI-TOF mass spectrometry and placed into a distinct group in the genus Campylobacter , following atpA gene sequence analysis based on whole-genome sequencing data. This taxonomic position was confirmed by phylogenetic analysis of the 16S rRNA, rpoB and hsp60 ( groEL ) loci, and an analysis of the core genome that provided an improved phylogenetic resolution. The average nucleotide identity between the representative strain CA656
T (CCUG 73571T =CIP 111675T ) and the type strain of the most closely related species Campylobacter ornithocola WBE38T was 88.5 %. The strains were found to be microaerobic and anaerobic, motile, non-spore-forming, Gram-stain-negative, spiral-shaped bacteria that exhibit catalase, oxidase and urease activities but not nitrate reduction. This study demonstrates clearly that the nine isolates represent a novel species within the C. lari group, for which the name Campylobacter armoricus is proposed. Here, we present phenotypic and morphological features of the nine strains and the description of their genome sequences. The proposed type strain CA656T has a 1.589 Mbp chromosome with a DNA G+C content of 28.5 mol% and encodes 1588 predicted coding sequences, 38 tRNAs, and 3 rRNA operons.- Published
- 2019
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32. Salmonellosis outbreak with novel Salmonella enterica subspecies enterica serotype (11:z41:e,n,z15) attributable to sesame products in five European countries, 2016 to 2017.
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Meinen A, Simon S, Banerji S, Szabo I, Malorny B, Borowiak M, Hadziabdic S, Becker N, Luber P, Lohr D, Harms C, Plenge-Bönig A, Mellou K, Mandilara G, Mossong J, Ragimbeau C, Weicherding P, Hau P, Dědičová D, Šafaříková L, Nair S, Dallman TJ, Larkin L, McCormick J, De Pinna E, Severi E, Kotila S, Niskanen T, Rizzi V, Deserio D, Flieger A, and Stark K
- Subjects
- Europe epidemiology, Humans, Salmonella Food Poisoning epidemiology, Salmonella Infections epidemiology, Salmonella enterica classification, Salmonella enterica genetics, Serogroup, Serotyping, Whole Genome Sequencing, Disease Outbreaks statistics & numerical data, Population Surveillance methods, Salmonella enterica isolation & purification, Sesamum microbiology
- Abstract
In spring 2016, Greece reported an outbreak caused by a previously undescribed Salmonella enterica subsp. enterica serotype (antigenic formula 11:z41:e,n,z15) via the Epidemic Intelligence Information System for Food- and Waterborne Diseases and Zoonoses (EPIS-FWD), with epidemiological evidence for sesame products as presumptive vehicle. Subsequently, Germany, Czech Republic, Luxembourg and the United Kingdom (UK) reported infections with this novel serotype via EPIS-FWD. Concerned countries in collaboration with the European Centre for Disease Prevention and Control (ECDC) and European Food Safety Authority (EFSA) adopted a common outbreak case definition. An outbreak case was defined as a laboratory-confirmed notification of the novel Salmonella serotype. Between March 2016 and April 2017, 47 outbreak cases were notified (Greece: n = 22; Germany: n = 13; Czech Republic: n = 5; Luxembourg: n = 4; UK: n = 3). Whole genome sequencing revealed the very close genetic relatedness of isolates from all affected countries. Interviews focusing on sesame product consumption, suspicious food item testing and trace-back analysis following Salmonella spp. detection in food products identified a company in Greece where sesame seeds from different countries were processed. Through European collaboration, it was possible to identify and recall sesame spread as one contaminated food item serving as vehicle of infection and trace it back to its origin.
- Published
- 2019
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33. Multi-laboratory validation study of multilocus variable-number tandem repeat analysis (MLVA) for Salmonella enterica serovar Enteritidis, 2015.
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Peters T, Bertrand S, Björkman JT, Brandal LT, Brown DJ, Erdõsi T, Heck M, Ibrahem S, Johansson K, Kornschober C, Kotila SM, Le Hello S, Lienemann T, Mattheus W, Nielsen EM, Ragimbeau C, Rumore J, Sabol A, Torpdahl M, Trees E, Tuohy A, and de Pinna E
- Subjects
- China epidemiology, Disease Outbreaks, Epidemiologic Studies, Europe epidemiology, Humans, Minisatellite Repeats, Multilocus Sequence Typing instrumentation, Multilocus Sequence Typing standards, Phylogeny, Predictive Value of Tests, Public Health Surveillance methods, Reproducibility of Results, Salmonella Food Poisoning epidemiology, Salmonella Infections epidemiology, Salmonella enteritidis classification, Laboratories statistics & numerical data, Molecular Typing methods, Multilocus Sequence Typing methods, Salmonella Infections microbiology, Salmonella enteritidis genetics, Salmonella enteritidis isolation & purification, Tandem Repeat Sequences genetics
- Abstract
Multilocus variable-number tandem repeat analysis (MLVA) is a rapid and reproducible typing method that is an important tool for investigation, as well as detection, of national and multinational outbreaks of a range of food-borne pathogens. Salmonella enterica serovar Enteritidis is the most common Salmonella serovar associated with human salmonellosis in the European Union/European Economic Area and North America. Fourteen laboratories from 13 countries in Europe and North America participated in a validation study for MLVA of S. Enteritidis targeting five loci. Following normalisation of fragment sizes using a set of reference strains, a blinded set of 24 strains with known allele sizes was analysed by each participant. The S. Enteritidis 5-loci MLVA protocol was shown to produce internationally comparable results as more than 90% of the participants reported less than 5% discrepant MLVA profiles. All 14 participating laboratories performed well, even those where experience with this typing method was limited. The raw fragment length data were consistent throughout, and the inter-laboratory validation helped to standardise the conversion of raw data to repeat numbers with at least two countries updating their internal procedures. However, differences in assigned MLVA profiles remain between well-established protocols and should be taken into account when exchanging data., (This article is copyright of The Authors, 2017.)
- Published
- 2017
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34. Quantifying potential sources of surface water contamination with Campylobacter jejuni and Campylobacter coli.
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Mughini-Gras L, Penny C, Ragimbeau C, Schets FM, Blaak H, Duim B, Wagenaar JA, de Boer A, Cauchie HM, Mossong J, and van Pelt W
- Subjects
- Animals, Campylobacter, Campylobacter Infections epidemiology, Humans, Poultry microbiology, Swine, Campylobacter coli, Campylobacter jejuni
- Abstract
Campylobacter is the most common causative agent of human bacterial gastroenteritis and is frequently found in surface water, where it indicates recent contamination with animal faeces, sewage effluent, and agricultural run-off. The contribution of different animal reservoirs to surface water contamination with Campylobacter is largely unknown. In the Netherlands, the massive poultry culling to control the 2003 avian influenza epidemic coincided with a 44-50% reduction in human campylobacteriosis cases in the culling areas, suggesting substantial environment-mediated spread of poultry-borne Campylobacter. We inferred the origin of surface water Campylobacter jejuni and Campylobacter coli strains in Luxembourg and the Netherlands, as defined by multilocus sequence typing, by comparison to strains from poultry, pigs, ruminants, and wild birds, using the asymmetric island model for source attribution. Most Luxembourgish water strains were attributed to wild birds (61.0%), followed by poultry (18.8%), ruminants (15.9%), and pigs (4.3%); whereas the Dutch water strains were mainly attributed to poultry (51.7%), wild birds (37.3%), ruminants (9.8%), and pigs (1.2%). Attributions varied over seasons and surface water types, and geographical variation in the relative contribution of poultry correlated with the magnitude of poultry production at either the national or provincial level, suggesting that environmental dissemination of Campylobacter from poultry farms and slaughterhouses can be substantial in poultry-rich regions., (Copyright © 2016 Elsevier Ltd. All rights reserved.)
- Published
- 2016
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35. A Designed Experiments Approach to Optimizing MALDI-TOF MS Spectrum Processing Parameters Enhances Detection of Antibiotic Resistance in Campylobacter jejuni.
- Author
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Penny C, Grothendick B, Zhang L, Borror CM, Barbano D, Cornelius AJ, Gilpin BJ, Fagerquist CK, Zaragoza WJ, Jay-Russell MT, Lastovica AJ, Ragimbeau C, Cauchie HM, and Sandrin TR
- Abstract
MALDI-TOF MS has been utilized as a reliable and rapid tool for microbial fingerprinting at the genus and species levels. Recently, there has been keen interest in using MALDI-TOF MS beyond the genus and species levels to rapidly identify antibiotic resistant strains of bacteria. The purpose of this study was to enhance strain level resolution for Campylobacter jejuni through the optimization of spectrum processing parameters using a series of designed experiments. A collection of 172 strains of C. jejuni were collected from Luxembourg, New Zealand, North America, and South Africa, consisting of four groups of antibiotic resistant isolates. The groups included: (1) 65 strains resistant to cefoperazone (2) 26 resistant to cefoperazone and beta-lactams (3) 5 strains resistant to cefoperazone, beta-lactams, and tetracycline, and (4) 76 strains resistant to cefoperazone, teicoplanin, amphotericin, B and cephalothin. Initially, a model set of 16 strains (three biological replicates and three technical replicates per isolate, yielding a total of 144 spectra) of C. jejuni was subjected to each designed experiment to enhance detection of antibiotic resistance. The most optimal parameters were applied to the larger collection of 172 isolates (two biological replicates and three technical replicates per isolate, yielding a total of 1,031 spectra). We observed an increase in antibiotic resistance detection whenever either a curve based similarity coefficient (Pearson or ranked Pearson) was applied rather than a peak based (Dice) and/or the optimized preprocessing parameters were applied. Increases in antimicrobial resistance detection were scored using the jackknife maximum similarity technique following cluster analysis. From the first four groups of antibiotic resistant isolates, the optimized preprocessing parameters increased detection respective to the aforementioned groups by: (1) 5% (2) 9% (3) 10%, and (4) 2%. An additional second categorization was created from the collection consisting of 31 strains resistant to beta-lactams and 141 strains sensitive to beta-lactams. Applying optimal preprocessing parameters, beta-lactam resistance detection was increased by 34%. These results suggest that spectrum processing parameters, which are rarely optimized or adjusted, affect the performance of MALDI-TOF MS-based detection of antibiotic resistance and can be fine-tuned to enhance screening performance.
- Published
- 2016
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36. Human Campylobacteriosis in Luxembourg, 2010-2013: A Case-Control Study Combined with Multilocus Sequence Typing for Source Attribution and Risk Factor Analysis.
- Author
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Mossong J, Mughini-Gras L, Penny C, Devaux A, Olinger C, Losch S, Cauchie HM, van Pelt W, and Ragimbeau C
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Animals, Campylobacter Infections diagnosis, Campylobacter Infections history, Case-Control Studies, Child, Child, Preschool, Environmental Microbiology, Female, Genotype, History, 21st Century, Humans, Infant, Luxembourg epidemiology, Male, Middle Aged, Multilocus Sequence Typing, Mutation, Odds Ratio, Population Surveillance, Poultry, Risk Factors, Young Adult, Campylobacter classification, Campylobacter genetics, Campylobacter Infections epidemiology, Campylobacter Infections microbiology
- Abstract
Campylobacteriosis has increased markedly in Luxembourg during recent years. We sought to determine which Campylobacter genotypes infect humans, where they may originate from, and how they may infect humans. Multilocus sequence typing was performed on 1153 Campylobacter jejuni and 136 C. coli human strains to be attributed to three putative animal reservoirs (poultry, ruminants, pigs) and to environmental water using the asymmetric island model. A nationwide case-control study (2010-2013) for domestic campylobacteriosis was also conducted, including 367 C. jejuni and 48 C. coli cases, and 624 controls. Risk factors were investigated by Campylobacter species, and for strains attributed to different sources using a combined case-control and source attribution analysis. 282 sequence types (STs) were identified: ST-21, ST-48, ST-572, ST-50 and ST-257 were prevailing. Most cases were attributed to poultry (61.2%) and ruminants (33.3%). Consuming chicken outside the home was the dominant risk factor for both Campylobacter species. Newly identified risk factors included contact with garden soil for either species, and consuming beef specifically for C. coli. Poultry-associated campylobacteriosis was linked to poultry consumption in wintertime, and ruminant-associated campylobacteriosis to tap-water provider type. Besides confirming chicken as campylobacteriosis primary source, additional evidence was found for other reservoirs and transmission routes.
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- 2016
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37. Investigation of a staphylococcal food poisoning outbreak combining case-control, traditional typing and whole genome sequencing methods, Luxembourg, June 2014.
- Author
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Mossong J, Decruyenaere F, Moris G, Ragimbeau C, Olinger CM, Johler S, Perrin M, Hau P, and Weicherding P
- Subjects
- Adult, Case-Control Studies, Female, Food Microbiology, Genome, Bacterial, Genotype, Humans, Luxembourg epidemiology, Male, Molecular Typing, Phylogeny, Sequence Analysis, Staphylococcal Food Poisoning diagnosis, Staphylococcal Food Poisoning microbiology, Staphylococcus aureus isolation & purification, Disease Outbreaks, Enterotoxins genetics, Staphylococcal Food Poisoning epidemiology, Staphylococcal Infections epidemiology, Staphylococcus aureus genetics
- Abstract
In June 2014, a staphylococcal food poisoning outbreak occurred at an international equine sports event in Luxembourg requiring the hospitalisation of 31 persons. We conducted a microbiological investigation of patients and buffet items, a case-control study and a carriage study of catering staff. Isolates of Staphylococcus aureus from patients, food and catering staff were characterised and compared using traditional typing methods and whole genome sequencing. Genotypically identical strains (sequence type ST8, spa-type t024, MLVA-type 4698, enterotoxin A FRI100) were isolated in 10 patients, shiitake mushrooms, cured ham, and in three members of staff. The case-control study strongly suggested pasta salad with pesto as the vehicle of infection (p<0.001), but this food item could not be tested, because there were no leftovers. Additional enterotoxigenic strains genetically unrelated to the outbreak strain were found in four members of staff. Non-enterotoxigenic strains with livestock-associated sequence type ST398 were isolated from three food items and two members of staff. The main cause of the outbreak is likely to have been not maintaining the cold chain after food preparation. Whole genome sequencing resulted in phylogenetic clustering which concurred with traditional typing while simultaneously characterising virulence and resistance traits.
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- 2015
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38. Investigating the host specificity of Campylobacter jejuni and Campylobacter coli by sequencing gyrase subunit A.
- Author
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Ragimbeau C, Colin S, Devaux A, Decruyenaere F, Cauchie HM, Losch S, Penny C, and Mossong J
- Subjects
- Alleles, Animals, Animals, Domestic, Base Composition, Campylobacter coli classification, Campylobacter coli isolation & purification, Campylobacter jejuni classification, Campylobacter jejuni isolation & purification, Cluster Analysis, DNA, Bacterial chemistry, DNA, Bacterial genetics, Genotype, Humans, Mammals, Poultry, Sequence Analysis, DNA, Water Microbiology, Campylobacter coli enzymology, Campylobacter coli physiology, Campylobacter jejuni enzymology, Campylobacter jejuni physiology, DNA Gyrase genetics, Host Specificity, Molecular Typing methods
- Abstract
Background: Surveillance and field investigations of Campylobacter infections require molecular tools with genetic markers appropriate for tracing purposes, i.e. based on the principle that some Campylobacter lineages acquire a host signature under adaptive selection pressure. We developed a sequence-based method targeting the quinolone resistance determining region within the subunit A of DNA gyrase (gyrA). Host specificity was evaluated by characterizing two collections of Campylobacter jejuni (N = 430) and Campylobacter coli (N = 302) originating from surface waters, domestic mammals and poultry., Results: Based on nucleotide identity, a total of 80 gyrA alleles were observed. Thirty nine alleles assigned to C. coli encoding two peptides fell into three clades: two associated with surface waters and one associated with domestic mammals and poultry. The variability in GC content generated by synonymous mutations suggested that surface waters isolates originated from two distinct ecological niches. A total of 42 alleles were recorded from C. jejuni strains and encoded 8 peptides including one lying in a distinct lineage associated with wildlife. Seven of the 23 alleles encoding peptide #1 displayed the synonymous mutation G408A not identified in poultry isolates. By contrast, the substitution Ser22Gly observed in 4 different peptide groups was significantly associated with domestic birds (P = 0.001). The change in amino acid sequences Thr86Ile conferring resistance to quinolones was significantly associated with poultry (P < 0.001) in both C. jejuni and C. coli with 38.7% and 67.9% of quinolone-resistant strains, respectively., Conclusions: The gyrA typing method presented here is an informative tool as sequences appear to be predictive of particular ecological niches. Combined with multi-locus sequence typing, it could increase the resolution of source attribution, and combined with porA/flaA typing it could be suitable for detecting temporal clusters of human cases. All gyrA alleles identified were deposited in the freely accessible online database http://pubmlst.org/campylobacter.
- Published
- 2014
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39. Selection and characterization of a candidate therapeutic bacteriophage that lyses the Escherichia coli O104:H4 strain from the 2011 outbreak in Germany.
- Author
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Merabishvili M, De Vos D, Verbeken G, Kropinski AM, Vandenheuvel D, Lavigne R, Wattiau P, Mast J, Ragimbeau C, Mossong J, Scheres J, Chanishvili N, Vaneechoutte M, and Pirnay JP
- Subjects
- Bacteriolysis, Bacteriophages isolation & purification, Bacteriophages ultrastructure, Disease Outbreaks, Escherichia coli Infections epidemiology, Germany epidemiology, Hemolytic-Uremic Syndrome epidemiology, Humans, Open Reading Frames, Shiga-Toxigenic Escherichia coli classification, Bacteriophages genetics, Shiga-Toxigenic Escherichia coli virology
- Abstract
In 2011, a novel strain of O104:H4 Escherichia coli caused a serious outbreak of foodborne hemolytic uremic syndrome and bloody diarrhea in Germany. Antibiotics were of questionable use and 54 deaths occurred. Candidate therapeutic bacteriophages that efficiently lyse the E. coli O104:H4 outbreak strain could be selected rather easily from a phage bank or isolated from the environment. It is argued that phage therapy should be more considered as a potential armament against the growing threat of (resistant) bacterial infections.
- Published
- 2012
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40. Multilocus sequence typing, pulsed-field gel electrophoresis, and fla short variable region typing of clonal complexes of Campylobacter jejuni strains of human, bovine, and poultry origins in Luxembourg.
- Author
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Ragimbeau C, Schneider F, Losch S, Even J, and Mossong J
- Subjects
- Animals, Bacterial Typing Techniques, Campylobacter Infections epidemiology, Campylobacter jejuni genetics, Cattle, Cecum microbiology, Cluster Analysis, DNA Fingerprinting, DNA, Bacterial genetics, Electrophoresis, Gel, Pulsed-Field, Gastroenteritis epidemiology, Gastroenteritis microbiology, Genotype, Humans, Luxembourg epidemiology, Poultry, Sequence Analysis, DNA, Campylobacter Infections microbiology, Campylobacter Infections veterinary, Campylobacter jejuni classification, Campylobacter jejuni isolation & purification, Meat Products microbiology
- Abstract
Campylobacter jejuni is the most common cause of bacterial gastroenteritis in Luxembourg, with a marked seasonal peak during summer. The majority of these infections are thought to be sporadic, and the relative contribution of potential sources and reservoirs is still poorly understood. We monitored human cases from June to September 2006 (n = 124) by molecular characterization of isolates with the aim of rapidly detecting temporally related cases. In addition, isolates from poultry meat (n = 36) and cattle cecal contents (n = 48) were genotyped for comparison and identification of common clusters between veterinary and human C. jejuni populations. A total of 208 isolates were typed by sequencing the fla short variable region, macrorestriction analysis resolved by pulsed-field gel electrophoresis (PFGE), and multilocus sequence typing (MLST). We observed a high diversity of human strains during a given summer season. Poultry and human isolates had a higher diversity of sequence types than isolates of bovine origin, for which clonal complexes CC21 (41.6%) and CC61 (18.7%) were predominant. CC21 was also the most common complex found among human isolates (21.8%). The substantial concordance between PFGE and MLST results for this last group of strains suggests that they are clonally related. Our study indicates that while poultry remains an important source, cattle could be an underestimated reservoir of human C. jejuni cases. Transmission mechanisms of cattle-specific strains warrant further investigation.
- Published
- 2008
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41. Some safety aspects of Salmonella vaccines for poultry: in vivo study of the genetic stability of three Salmonella typhimurium live vaccines.
- Author
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Barbezange C, Ermel G, Ragimbeau C, Humbert F, and Salvat G
- Subjects
- Animals, Bacteriophage Typing methods, Chickens microbiology, Deoxyribonucleases, Type II Site-Specific metabolism, Electrophoresis, Gel, Pulsed-Field methods, Genotype, Poultry Diseases microbiology, Restriction Mapping methods, Salmonella Infections, Animal microbiology, Salmonella typhimurium classification, Salmonella typhimurium immunology, Vaccines, Attenuated genetics, Poultry Diseases prevention & control, Salmonella Infections, Animal prevention & control, Salmonella Vaccines genetics, Salmonella typhimurium genetics
- Abstract
Live vaccine strains of Salmonella should be avirulent, immunogenic and genetically stable. Some isolates of three commercially available live vaccine strains of Salmonella typhimurium, sampled during a study on their persistence in a vaccinated flock of chickens, were analyzed for genetic stability using macrorestriction analysis of their genome. Two out of the three vaccine strains showed genetic instabilities. Two of the 51 isolates of Zoosaloral vaccine strain and nine of the 32 analyzed isolates of chi(3985), a genetically modified organism, were variants and showed different macrorestriction profiles.
- Published
- 2000
- Full Text
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