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  4. Natural variation in genome architecture among 205 Drosophila melanogaster Genetic Reference Panel lines
 
research article

Natural variation in genome architecture among 205 Drosophila melanogaster Genetic Reference Panel lines

Huang, Wen
•
Massouras, Andreas  
•
Inoue, Yutaka
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2014
Genome Research

The Drosophila melanogaster Genetic Reference Panel (DGRP) is a community resource of 205 sequenced inbred lines, derived to improve our understanding of the effects of naturally occurring genetic variation on molecular and organismal phenotypes. We used an integrated genotyping strategy to identify 4,853,802 single nucleotide polymorphisms (SNPs) and 1,296,080 non-SNP variants. Our molecular population genomic analyses show higher deletion than insertion mutation rates and stronger purifying selection on deletions. Weaker selection on insertions than deletions is consistent with our observed distribution of genome size determined by flow cytometry, which is skewed toward larger genomes. Insertion/deletion and single nucleotide polymorphisms are positively correlated with each other and with local recombination, suggesting that their nonrandom distributions are due to hitchhiking and background selection. Our cytogenetic analysis identified 16 polymorphic inversions in the DGRP. Common inverted and standard karyotypes are genetically divergent and account for most of the variation in relatedness among the DGRP lines. Intriguingly, variation in genome size and many quantitative traits are significantly associated with inversions. Approximately 50% of the DGRP lines are infected with Wolbachia, and four lines have germline insertions of Wolbachia sequences, but effects of Wolbachia infection on quantitative traits are rarely significant. The DGRP complements ongoing efforts to functionally annotate the Drosophila genome. Indeed, 15% of all D. melanogaster genes segregate for potentially damaged proteins in the DGRP, and genome-wide analyses of quantitative traits identify novel candidate genes. The DGRP lines, sequence data, genotypes, quality scores, phenotypes, and analysis and visualization tools are publicly available.

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Type
research article
DOI
10.1101/gr.171546.113
Web of Science ID

WOS:000338185000013

Author(s)
Huang, Wen
Massouras, Andreas  
Inoue, Yutaka
Peiffer, Jason
Ramia, Miquel
Tarone, Aaron M.
Turlapati, Lavanya
Zichner, Thomas
Zhu, Dianhui
Lyman, Richard F.
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Date Issued

2014

Publisher

Cold Spring Harbor Laboratory Press

Published in
Genome Research
Volume

24

Issue

7

Start page

1193

End page

1208

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
UPDEPLA  
Available on Infoscience
August 29, 2014
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/106371
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