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Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource

Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome data sets from natural populations of this species have been published over the last years. A major challenge is the integration of disparate data sets, often generated using differen...

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Autores principales: Kapun, Martin, Nunez, Joaquin C B, Bogaerts-Márquez, María, Murga-Moreno, Jesús, Paris, Margot, Outten, Joseph, Coronado-Zamora, Marta, Tern, Courtney, Rota-Stabelli, Omar, Guerreiro, Maria P García, Casillas, Sònia, Orengo, Dorcas J, Puerma, Eva, Kankare, Maaria, Ometto, Lino, Loeschcke, Volker, Onder, Banu S, Abbott, Jessica K, Schaeffer, Stephen W, Rajpurohit, Subhash, Behrman, Emily L, Schou, Mads F, Merritt, Thomas J S, Lazzaro, Brian P, Glaser-Schmitt, Amanda, Argyridou, Eliza, Staubach, Fabian, Wang, Yun, Tauber, Eran, Serga, Svitlana V, Fabian, Daniel K, Dyer, Kelly A, Wheat, Christopher W, Parsch, John, Grath, Sonja, Veselinovic, Marija Savic, Stamenkovic-Radak, Marina, Jelic, Mihailo, Buendía-Ruíz, Antonio J, Gómez-Julián, Maria Josefa, Espinosa-Jimenez, Maria Luisa, Gallardo-Jiménez, Francisco D, Patenkovic, Aleksandra, Eric, Katarina, Tanaskovic, Marija, Ullastres, Anna, Guio, Lain, Merenciano, Miriam, Guirao-Rico, Sara, Horváth, Vivien, Obbard, Darren J, Pasyukova, Elena, Alatortsev, Vladimir E, Vieira, Cristina P, Vieira, Jorge, Torres, Jorge Roberto, Kozeretska, Iryna, Maistrenko, Oleksandr M, Montchamp-Moreau, Catherine, Mukha, Dmitry V, Machado, Heather E, Lamb, Keric, Paulo, Tânia, Yusuf, Leeban, Barbadilla, Antonio, Petrov, Dmitri, Schmidt, Paul, Gonzalez, Josefa, Flatt, Thomas, Bergland, Alan O
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662648/
https://www.ncbi.nlm.nih.gov/pubmed/34469576
http://dx.doi.org/10.1093/molbev/msab259
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author Kapun, Martin
Nunez, Joaquin C B
Bogaerts-Márquez, María
Murga-Moreno, Jesús
Paris, Margot
Outten, Joseph
Coronado-Zamora, Marta
Tern, Courtney
Rota-Stabelli, Omar
Guerreiro, Maria P García
Casillas, Sònia
Orengo, Dorcas J
Puerma, Eva
Kankare, Maaria
Ometto, Lino
Loeschcke, Volker
Onder, Banu S
Abbott, Jessica K
Schaeffer, Stephen W
Rajpurohit, Subhash
Behrman, Emily L
Schou, Mads F
Merritt, Thomas J S
Lazzaro, Brian P
Glaser-Schmitt, Amanda
Argyridou, Eliza
Staubach, Fabian
Wang, Yun
Tauber, Eran
Serga, Svitlana V
Fabian, Daniel K
Dyer, Kelly A
Wheat, Christopher W
Parsch, John
Grath, Sonja
Veselinovic, Marija Savic
Stamenkovic-Radak, Marina
Jelic, Mihailo
Buendía-Ruíz, Antonio J
Gómez-Julián, Maria Josefa
Espinosa-Jimenez, Maria Luisa
Gallardo-Jiménez, Francisco D
Patenkovic, Aleksandra
Eric, Katarina
Tanaskovic, Marija
Ullastres, Anna
Guio, Lain
Merenciano, Miriam
Guirao-Rico, Sara
Horváth, Vivien
Obbard, Darren J
Pasyukova, Elena
Alatortsev, Vladimir E
Vieira, Cristina P
Vieira, Jorge
Torres, Jorge Roberto
Kozeretska, Iryna
Maistrenko, Oleksandr M
Montchamp-Moreau, Catherine
Mukha, Dmitry V
Machado, Heather E
Lamb, Keric
Paulo, Tânia
Yusuf, Leeban
Barbadilla, Antonio
Petrov, Dmitri
Schmidt, Paul
Gonzalez, Josefa
Flatt, Thomas
Bergland, Alan O
author_facet Kapun, Martin
Nunez, Joaquin C B
Bogaerts-Márquez, María
Murga-Moreno, Jesús
Paris, Margot
Outten, Joseph
Coronado-Zamora, Marta
Tern, Courtney
Rota-Stabelli, Omar
Guerreiro, Maria P García
Casillas, Sònia
Orengo, Dorcas J
Puerma, Eva
Kankare, Maaria
Ometto, Lino
Loeschcke, Volker
Onder, Banu S
Abbott, Jessica K
Schaeffer, Stephen W
Rajpurohit, Subhash
Behrman, Emily L
Schou, Mads F
Merritt, Thomas J S
Lazzaro, Brian P
Glaser-Schmitt, Amanda
Argyridou, Eliza
Staubach, Fabian
Wang, Yun
Tauber, Eran
Serga, Svitlana V
Fabian, Daniel K
Dyer, Kelly A
Wheat, Christopher W
Parsch, John
Grath, Sonja
Veselinovic, Marija Savic
Stamenkovic-Radak, Marina
Jelic, Mihailo
Buendía-Ruíz, Antonio J
Gómez-Julián, Maria Josefa
Espinosa-Jimenez, Maria Luisa
Gallardo-Jiménez, Francisco D
Patenkovic, Aleksandra
Eric, Katarina
Tanaskovic, Marija
Ullastres, Anna
Guio, Lain
Merenciano, Miriam
Guirao-Rico, Sara
Horváth, Vivien
Obbard, Darren J
Pasyukova, Elena
Alatortsev, Vladimir E
Vieira, Cristina P
Vieira, Jorge
Torres, Jorge Roberto
Kozeretska, Iryna
Maistrenko, Oleksandr M
Montchamp-Moreau, Catherine
Mukha, Dmitry V
Machado, Heather E
Lamb, Keric
Paulo, Tânia
Yusuf, Leeban
Barbadilla, Antonio
Petrov, Dmitri
Schmidt, Paul
Gonzalez, Josefa
Flatt, Thomas
Bergland, Alan O
author_sort Kapun, Martin
collection PubMed
description Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome data sets from natural populations of this species have been published over the last years. A major challenge is the integration of disparate data sets, often generated using different sequencing technologies and bioinformatic pipelines, which hampers our ability to address questions about the evolution of this species. Here we address these issues by developing a bioinformatics pipeline that maps pooled sequencing (Pool-Seq) reads from D. melanogaster to a hologenome consisting of fly and symbiont genomes and estimates allele frequencies using either a heuristic (PoolSNP) or a probabilistic variant caller (SNAPE-pooled). We use this pipeline to generate the largest data repository of genomic data available for D. melanogaster to date, encompassing 271 previously published and unpublished population samples from over 100 locations in >20 countries on four continents. Several of these locations have been sampled at different seasons across multiple years. This data set, which we call Drosophila Evolution over Space and Time (DEST), is coupled with sampling and environmental metadata. A web-based genome browser and web portal provide easy access to the SNP data set. We further provide guidelines on how to use Pool-Seq data for model-based demographic inference. Our aim is to provide this scalable platform as a community resource which can be easily extended via future efforts for an even more extensive cosmopolitan data set. Our resource will enable population geneticists to analyze spatiotemporal genetic patterns and evolutionary dynamics of D. melanogaster populations in unprecedented detail.
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spelling pubmed-86626482021-12-10 Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource Kapun, Martin Nunez, Joaquin C B Bogaerts-Márquez, María Murga-Moreno, Jesús Paris, Margot Outten, Joseph Coronado-Zamora, Marta Tern, Courtney Rota-Stabelli, Omar Guerreiro, Maria P García Casillas, Sònia Orengo, Dorcas J Puerma, Eva Kankare, Maaria Ometto, Lino Loeschcke, Volker Onder, Banu S Abbott, Jessica K Schaeffer, Stephen W Rajpurohit, Subhash Behrman, Emily L Schou, Mads F Merritt, Thomas J S Lazzaro, Brian P Glaser-Schmitt, Amanda Argyridou, Eliza Staubach, Fabian Wang, Yun Tauber, Eran Serga, Svitlana V Fabian, Daniel K Dyer, Kelly A Wheat, Christopher W Parsch, John Grath, Sonja Veselinovic, Marija Savic Stamenkovic-Radak, Marina Jelic, Mihailo Buendía-Ruíz, Antonio J Gómez-Julián, Maria Josefa Espinosa-Jimenez, Maria Luisa Gallardo-Jiménez, Francisco D Patenkovic, Aleksandra Eric, Katarina Tanaskovic, Marija Ullastres, Anna Guio, Lain Merenciano, Miriam Guirao-Rico, Sara Horváth, Vivien Obbard, Darren J Pasyukova, Elena Alatortsev, Vladimir E Vieira, Cristina P Vieira, Jorge Torres, Jorge Roberto Kozeretska, Iryna Maistrenko, Oleksandr M Montchamp-Moreau, Catherine Mukha, Dmitry V Machado, Heather E Lamb, Keric Paulo, Tânia Yusuf, Leeban Barbadilla, Antonio Petrov, Dmitri Schmidt, Paul Gonzalez, Josefa Flatt, Thomas Bergland, Alan O Mol Biol Evol Resources Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome data sets from natural populations of this species have been published over the last years. A major challenge is the integration of disparate data sets, often generated using different sequencing technologies and bioinformatic pipelines, which hampers our ability to address questions about the evolution of this species. Here we address these issues by developing a bioinformatics pipeline that maps pooled sequencing (Pool-Seq) reads from D. melanogaster to a hologenome consisting of fly and symbiont genomes and estimates allele frequencies using either a heuristic (PoolSNP) or a probabilistic variant caller (SNAPE-pooled). We use this pipeline to generate the largest data repository of genomic data available for D. melanogaster to date, encompassing 271 previously published and unpublished population samples from over 100 locations in >20 countries on four continents. Several of these locations have been sampled at different seasons across multiple years. This data set, which we call Drosophila Evolution over Space and Time (DEST), is coupled with sampling and environmental metadata. A web-based genome browser and web portal provide easy access to the SNP data set. We further provide guidelines on how to use Pool-Seq data for model-based demographic inference. Our aim is to provide this scalable platform as a community resource which can be easily extended via future efforts for an even more extensive cosmopolitan data set. Our resource will enable population geneticists to analyze spatiotemporal genetic patterns and evolutionary dynamics of D. melanogaster populations in unprecedented detail. Oxford University Press 2021-09-01 /pmc/articles/PMC8662648/ /pubmed/34469576 http://dx.doi.org/10.1093/molbev/msab259 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Resources
Kapun, Martin
Nunez, Joaquin C B
Bogaerts-Márquez, María
Murga-Moreno, Jesús
Paris, Margot
Outten, Joseph
Coronado-Zamora, Marta
Tern, Courtney
Rota-Stabelli, Omar
Guerreiro, Maria P García
Casillas, Sònia
Orengo, Dorcas J
Puerma, Eva
Kankare, Maaria
Ometto, Lino
Loeschcke, Volker
Onder, Banu S
Abbott, Jessica K
Schaeffer, Stephen W
Rajpurohit, Subhash
Behrman, Emily L
Schou, Mads F
Merritt, Thomas J S
Lazzaro, Brian P
Glaser-Schmitt, Amanda
Argyridou, Eliza
Staubach, Fabian
Wang, Yun
Tauber, Eran
Serga, Svitlana V
Fabian, Daniel K
Dyer, Kelly A
Wheat, Christopher W
Parsch, John
Grath, Sonja
Veselinovic, Marija Savic
Stamenkovic-Radak, Marina
Jelic, Mihailo
Buendía-Ruíz, Antonio J
Gómez-Julián, Maria Josefa
Espinosa-Jimenez, Maria Luisa
Gallardo-Jiménez, Francisco D
Patenkovic, Aleksandra
Eric, Katarina
Tanaskovic, Marija
Ullastres, Anna
Guio, Lain
Merenciano, Miriam
Guirao-Rico, Sara
Horváth, Vivien
Obbard, Darren J
Pasyukova, Elena
Alatortsev, Vladimir E
Vieira, Cristina P
Vieira, Jorge
Torres, Jorge Roberto
Kozeretska, Iryna
Maistrenko, Oleksandr M
Montchamp-Moreau, Catherine
Mukha, Dmitry V
Machado, Heather E
Lamb, Keric
Paulo, Tânia
Yusuf, Leeban
Barbadilla, Antonio
Petrov, Dmitri
Schmidt, Paul
Gonzalez, Josefa
Flatt, Thomas
Bergland, Alan O
Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource
title Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource
title_full Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource
title_fullStr Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource
title_full_unstemmed Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource
title_short Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource
title_sort drosophila evolution over space and time (dest): a new population genomics resource
topic Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662648/
https://www.ncbi.nlm.nih.gov/pubmed/34469576
http://dx.doi.org/10.1093/molbev/msab259
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