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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-8662648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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