Next generation sequencing gives an insight into the characteristics of highly selected breeds versus non-breed horses in the course of domestication.
Next generation sequencing gives an insight into the characteristics of highly selected breeds versus non-breed horses in the course of domestication.
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DOI:
10.1186/1471-2164-15-562
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发表时间:
2014-07-04
期刊:
影响因子:
4.4
通讯作者:
Distl O
中科院分区:
文献类型:
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作者:
Metzger J;Tonda R;Beltran S;Agueda L;Gut M;Distl O
Domestication has shaped the horse and lead to a group of many different types. Some have been under strong human selection while others developed in close relationship with nature. The aim of our study was to perform next generation sequencing of breed and non-breed horses to provide an insight into genetic influences on selective forces. Whole genome sequencing of five horses of four different populations revealed 10,193,421 single nucleotide polymorphisms (SNPs) and 1,361,948 insertion/deletion polymorphisms (indels). In comparison to horse variant databases and previous reports, we were able to identify 3,394,883 novel SNPs and 868,525 novel indels. We analyzed the distribution of individual variants and found significant enrichment of private mutations in coding regions of genes involved in primary metabolic processes, anatomical structures, morphogenesis and cellular components in non-breed horses and in contrast to that private mutations in genes affecting cell communication, lipid metabolic process, neurological system process, muscle contraction, ion transport, developmental processes of the nervous system and ectoderm in breed horses. Our next generation sequencing data constitute an important first step for the characterization of non-breed in comparison to breed horses and provide a large number of novel variants for future analyses. Functional annotations suggest specific variants that could play a role for the characterization of breed or non-breed horses. The online version of this article (doi:10.1186/1471-2164-15-562) contains supplementary material, which is available to authorized users.
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影响因子:
4.4
作者:
Doan R;Cohen ND;Sawyer J;Ghaffari N;Johnson CD;Dindot SV
通讯作者:
Dindot SV
影响因子:
64.8
作者:
Andersson, Lisa S.;Larhammar, Martin;Memic, Fatima;Wootz, Hanna;Schwochow, Doreen;Rubin, Carl-Johan;Patra, Kalicharan;Arnason, Thorvaldur;Wellbring, Lisbeth;Hjalm, Goran;Imsland, Freyja;Petersen, Jessica L.;McCue, Molly E.;Mickelson, James R.;Cothran, Gus;Ahituv, Nadav;Roepstorff, Lars;Mikko, Sofia;Vallstedt, Anna;Lindgren, Gabriella;Andersson, Leif;Kullander, Klas
通讯作者:
Kullander, Klas
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:
4.4
作者:
Brault, Leah S.;Cooper, Caitlin A.;Penedo, M. Cecilia T.
通讯作者:
Penedo, M. Cecilia T.
影响因子:
30.8
作者:
通讯作者:
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