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Genome Features of “Dark-Fly”, a Drosophila Line Reared Long-Term in a Dark Environment

Overview of attention for article published in PLOS ONE, March 2012
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Title
Genome Features of “Dark-Fly”, a Drosophila Line Reared Long-Term in a Dark Environment
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033288
Pubmed ID
Authors

Minako Izutsu, Jun Zhou, Yuzo Sugiyama, Osamu Nishimura, Tomoyuki Aizu, Atsushi Toyoda, Asao Fujiyama, Kiyokazu Agata, Naoyuki Fuse

Abstract

Organisms are remarkably adapted to diverse environments by specialized metabolisms, morphology, or behaviors. To address the molecular mechanisms underlying environmental adaptation, we have utilized a Drosophila melanogaster line, termed "Dark-fly", which has been maintained in constant dark conditions for 57 years (1400 generations). We found that Dark-fly exhibited higher fecundity in dark than in light conditions, indicating that Dark-fly possesses some traits advantageous in darkness. Using next-generation sequencing technology, we determined the whole genome sequence of Dark-fly and identified approximately 220,000 single nucleotide polymorphisms (SNPs) and 4,700 insertions or deletions (InDels) in the Dark-fly genome compared to the genome of the Oregon-R-S strain, a control strain. 1.8% of SNPs were classified as non-synonymous SNPs (nsSNPs: i.e., they alter the amino acid sequence of gene products). Among them, we detected 28 nonsense mutations (i.e., they produce a stop codon in the protein sequence) in the Dark-fly genome. These included genes encoding an olfactory receptor and a light receptor. We also searched runs of homozygosity (ROH) regions as putative regions selected during the population history, and found 21 ROH regions in the Dark-fly genome. We identified 241 genes carrying nsSNPs or InDels in the ROH regions. These include a cluster of alpha-esterase genes that are involved in detoxification processes. Furthermore, analysis of structural variants in the Dark-fly genome showed the deletion of a gene related to fatty acid metabolism. Our results revealed unique features of the Dark-fly genome and provided a list of potential candidate genes involved in environmental adaptation.

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Geographical breakdown

Country Count As %
United States 5 3%
Japan 4 2%
Brazil 4 2%
Austria 1 <1%
India 1 <1%
Germany 1 <1%
Romania 1 <1%
Chile 1 <1%
United Kingdom 1 <1%
Other 1 <1%
Unknown 151 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 22%
Researcher 36 21%
Student > Bachelor 24 14%
Student > Master 22 13%
Professor > Associate Professor 10 6%
Other 30 18%
Unknown 11 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 108 63%
Biochemistry, Genetics and Molecular Biology 23 13%
Neuroscience 10 6%
Psychology 6 4%
Engineering 4 2%
Other 9 5%
Unknown 11 6%