6533b828fe1ef96bd1288d79

RESEARCH PRODUCT

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

Josefa GonzálezEliza ArgyridouMarija TanaskovićMargot ParisSonja GrathJ. Roberto TorresElena PasyukovaThomas FlattSubhash RajpurohitSubhash RajpurohitMaaria KankareStephen W. SchaefferAntonio J. Buendía-ruízSvitlana SergaSvitlana SergaVivien HorváthEmily L. BehrmanEva PuermaIryna KozeretskaIryna KozeretskaJessica K. AbbottPaul S. SchmidtAnna UllastresM. Luisa Espinosa-jimenezJorge VieiraJorge VieiraYun WangMartin KapunMartin KapunCatherine Montchamp-moreauJesús Murga-morenoLain GuioJoseph OuttenM. Josefa Gómez-juliánMaría Bogaerts-márquezChristopher W. WheatSònia CasillasBrian P. LazzaroVolker LoeschckeSara Guirao-ricoDorcas J. OrengoMiriam MerencianoBanu Sebnem OnderOmar Rota-stabelliMarta Coronado-zamoraDarren J. ObbardKatarina EricLino OmettoJohn ParschOleksandr M. MaistrenkoMads Fristrup SchouMads Fristrup SchouAntonio BarbadillaVladimir E. AlatortsevThomas J.s. MerrittAlan O. BerglandDaniel K. FabianHeather E. MachadoHeather E. MachadoMarina Stamenkovic-radakD. V. MukhaCourtney TernAleksandra PatenkovicDmitri A. PetrovKelly A. DyerCristina P. VieiraCristina P. VieiraJoaquin C. B. NunezFrancisco D. Gallardo-jiménezMarija Savic VeselinovicFabian StaubachMaria Pilar Garcia GuerreiroMihailo JelićEran TauberAmanda Glaser-schmitt

subject

0106 biological sciences0303 health scienceseducation.field_of_studyPopulationPopulation geneticsGenomicsGenome browserComputational biologyInformation repositoryBiology010603 evolutionary biology01 natural sciencesGenome03 medical and health sciencesComputingMethodologies_PATTERNRECOGNITIONHologenome theory of evolutionEvolutionary dynamicseducation030304 developmental biology

description

Abstract Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome datasets from natural populations of this species have been published over the last 20 years. A major challenge is the integration of these disparate datasets, often generated using different sequencing technologies and bioinformatic pipelines, which hampers our ability to address questions about the evolution and population structure 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 population samples from over 100 locations in >20 countries on four continents based on a combination of 121 unpublished and 150 previously published genomic datasets. Several of these locations have been sampled at different seasons across multiple years. This dataset, which we call Drosophila Evolution over Space and Time (DEST), is coupled with sampling and environmental meta-data. A web-based genome browser and web portal provide easy access to the SNP dataset. 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 dataset. Our resource will enable population geneticists to analyze spatio-temporal genetic patterns and evolutionary dynamics of D. melanogaster populations in unprecedented detail.

https://doi.org/10.1101/2021.02.01.428994