A high-density linkage map for Astyanax mexicanus using genotyping-by-sequencing technology.
A high-density linkage map for Astyanax mexicanus using genotyping-by-sequencing technology.
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DOI:
10.1534/g3.114.015438
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发表时间:
2014-12-17
期刊:
影响因子:
--
通讯作者:
Gross JB
中科院分区:
文献类型:
--
作者:
Carlson BM;Onusko SW;Gross JB
The Mexican tetra, Astyanax mexicanus, is a unique model system consisting of cave-adapted and surface-dwelling morphotypes that diverged >1 million years (My) ago. This remarkable natural experiment has enabled powerful genetic analyses of cave adaptation. Here, we describe the application of next-generation sequencing technology to the creation of a high-density linkage map. Our map comprises more than 2200 markers populating 25 linkage groups constructed from genotypic data generated from a single genotyping-by-sequencing project. We leveraged emergent genomic and transcriptomic resources to anchor hundreds of anonymous Astyanax markers to the genome of the zebrafish (Danio rerio), the most closely related model organism to our study species. This facilitated the identification of 784 distinct connections between our linkage map and the Danio rerio genome, highlighting several regions of conserved genomic architecture between the two species despite ∼150 My of divergence. Using a Mendelian cave-associated trait as a proof-of-principle, we successfully recovered the genomic position of the albinism locus near the gene Oca2. Further, our map successfully informed the positions of unplaced Astyanax genomic scaffolds within particular linkage groups. This ability to identify the relative location, orientation, and linear order of unaligned genomic scaffolds will facilitate ongoing efforts to improve on the current early draft and assemble future versions of the Astyanax physical genome. Moreover, this improved linkage map will enable higher-resolution genetic analyses and catalyze the discovery of the genetic basis for cave-associated phenotypes.
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影响因子:
3.7
作者:
Gross JB;Furterer A;Carlson BM;Stahl BA
通讯作者:
Stahl BA
影响因子:
3.3
作者:
Gross, Joshua B.;Krutzler, Amanda J.;Carlson, Brian M.
通讯作者:
Carlson, Brian M.
影响因子:
4.4
作者:
Houston RD;Davey JW;Bishop SC;Lowe NR;Mota-Velasco JC;Hamilton A;Guy DR;Tinch AE;Thomson ML;Blaxter ML;Gharbi K;Bron JE;Taggart JB
通讯作者:
Taggart JB
影响因子:
3.1
作者:
Borowsky, R;Wilkens, H
通讯作者:
Wilkens, H
影响因子:
4.4
作者:
Everett MV;Miller MR;Seeb JE
通讯作者:
Seeb JE