Whole-Genome Resequencing Analysis of Hanwoo and Yanbian Cattle to Identify Genome-Wide SNPs and Signatures of Selection.
Whole-Genome Resequencing Analysis of Hanwoo and Yanbian Cattle to Identify Genome-Wide SNPs and Signatures of Selection.
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DOI:
10.14348/molcells.2015.0019
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发表时间:
2015-05
影响因子:
3.8
通讯作者:
Lim D
中科院分区:
文献类型:
--
作者:
Choi JW;Choi BH;Lee SH;Lee SS;Kim HC;Yu D;Chung WH;Lee KT;Chai HH;Cho YM;Lim D
Over the last 30 years, Hanwoo has been selectively bred to improve economically important traits. Hanwoo is currently the representative Korean native beef cattle breed, and it is believed that it shared an ancestor with a Chinese breed, Yanbian cattle, until the last century. However, these two breeds have experienced different selection pressures during recent decades. Here, we whole-genome sequenced 10 animals each of Hanwoo and Yanbian cattle (20 total) using the Illumina HiSeq 2000 sequencer. A total of approximately 3.12 and 3.07 billion sequence reads were mapped to the bovine reference sequence assembly (UMD 3.1) at an average of approximately 10.71- and 10.53-fold coverage for Hanwoo and Yanbian cattle, respectively. A total of 17,936,399 single nucleotide polymorphisms (SNPs) were yielded, of which 22.3% were found to be novel. By annotating the SNPs, we further retrieved numerous nonsynonymous SNPs that may be associated with traits of interest in cattle. Furthermore, we performed whole-genome screening to detect signatures of selection throughout the genome. We located several promising selective sweeps that are potentially responsible for economically important traits in cattle; the PPP1R12A gene is an example of a gene that potentially affects intramuscular fat content. These discoveries provide valuable genomic information regarding potential genomic markers that could predict traits of interest for breeding programs of these cattle breeds.
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影响因子:
4.4
作者:
Kawahara-Miki R;Tsuda K;Shiwa Y;Arai-Kichise Y;Matsumoto T;Kanesaki Y;Oda S;Ebihara S;Yajima S;Yoshikawa H;Kono T
通讯作者:
Kono T
影响因子:
1.2
作者:
Cingolani, Pablo;Platts, Adrian;Ruden, Douglas M.
通讯作者:
Ruden, Douglas M.
影响因子:
30.8
作者:
Daetwyler, Hans D.;Capitan, Aurelien;Hayes, Ben J.
通讯作者:
Hayes, Ben J.
影响因子:
2.1
作者:
Dadi, Hailu;Lee, Seung-Hwan;Kim, Kwan-Suk
通讯作者:
Kim, Kwan-Suk
DOI:
10.1093/bioinformatics/btp698
发表时间:
2010-03-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Li H;Durbin R
通讯作者:
Durbin R