4.4 Article

The Drosophila Genome Nexus: A Population Genomic Resource of 623 Drosophila melanogaster Genomes, Including 197 from a Single Ancestral Range Population

Journal

GENETICS
Volume 199, Issue 4, Pages 1229-U553

Publisher

GENETICS SOCIETY AMERICA
DOI: 10.1534/genetics.115.174664

Keywords

Drosophila melanogaster; population genomics; genome assembly; Drosophila Genome Nexus

Funding

  1. National Institutes of Health (NIH) [HG02942]
  2. NIH [R01 GM111797]
  3. Ruth L. Kirschstein National Research Service Award [F32 GM106594]
  4. University of Wisconsin-Madison Genome Sciences Training Program

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Hundreds of wild-derived Drosophila melanogaster genomes have been published, but rigorous comparisons across data sets are precluded by differences in alignment methodology. The most common approach to reference-based genome assembly is a single round of alignment followed by quality filtering and variant detection. We evaluated variations and extensions of this approach and settled on an assembly strategy that utilizes two alignment programs and incorporates both substitutions and short indels to construct an updated reference for a second round of mapping prior to final variant detection. Utilizing this approach, we reassembled published D. melanogaster population genomic data sets and added unpublished genomes from several sub-Saharan populations. Most notably, we present aligned data from phase 3 of the Drosophila Population Genomics Project (DPGP3), which provides 197 genomes from a single ancestral range population of D. melanogaster (from Zambia). The large sample size, high genetic diversity, and potentially simpler demographic history of the DPGP3 sample will make this a highly valuable resource for fundamental population genetic research. The complete set of assemblies described here, termed the Drosophila Genome Nexus, presently comprises 623 consistently aligned genomes and is publicly available in multiple formats with supporting documentation and bioinformatic tools. This resource will greatly facilitate population genomic analysis in this model species by reducing the methodological differences between data sets.

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