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Highly contiguous assemblies of 101 drosophilid genomes.

Bernard Y KimJeremy R WangDanny E MillerOlga BarminaEmily Kay DelaneyAmmon ThompsonAaron A ComeaultDavid PeedeEmmanuel Rr D'AgostinoJulianne PelaezJessica M AguilarDiler HajiTeruyuki MatsunagaEllie E ArmstrongMolly ZychYoshitaka OgawaMarina Stamenković-RadakMihailo JelićMarija Savić VeselinovićMarija TanaskovićPavle ErićJian-Jun GaoTakehiro K KatohMasanori J TodaHideaki WatabeMasayoshi WatadaJeremy S DavisLeonie C MoyleGiulia ManoliEnrico BertoliniVladimír KošťálR Scott HawleyAya TakahashiCorbin D JonesDonald K PriceNoah K WhitemanArtyom KoppDaniel R MatuteDmitri A Petrov
Published in: eLife (2021)
Over 100 years of studies in Drosophila melanogaster and related species in the genus Drosophila have facilitated key discoveries in genetics, genomics, and evolution. While high-quality genome assemblies exist for several species in this group, they only encompass a small fraction of the genus. Recent advances in long-read sequencing allow high-quality genome assemblies for tens or even hundreds of species to be efficiently generated. Here, we utilize Oxford Nanopore sequencing to build an open community resource of genome assemblies for 101 lines of 93 drosophilid species encompassing 14 species groups and 35 sub-groups. The genomes are highly contiguous and complete, with an average contig N50 of 10.5 Mb and greater than 97% BUSCO completeness in 97/101 assemblies. We show that Nanopore-based assemblies are highly accurate in coding regions, particularly with respect to coding insertions and deletions. These assemblies, along with a detailed laboratory protocol and assembly pipelines, are released as a public resource and will serve as a starting point for addressing broad questions of genetics, ecology, and evolution at the scale of hundreds of species.
Keyphrases
  • healthcare
  • single cell
  • single molecule
  • drosophila melanogaster
  • mental health
  • emergency department
  • randomized controlled trial
  • gene expression
  • mass spectrometry
  • electronic health record
  • case control