Scanning of selection signature provides a glimpse into important economic traits in goats (Capra hircus).
Scanning of selection signature provides a glimpse into important economic traits in goats (Capra hircus).
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DOI：
10.1038/srep36372
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发表时间：
2016-10-31
影响因子：
4.6
通讯作者：
Zhao Y
中科院分区：
文献类型：
--
作者：
Guan D;Luo N;Tan X;Zhao Z;Huang Y;Na R;Zhang J;Zhao Y
山羊（Capra hircus）是最古老的家畜驯化物种之一，在世界上许多地方都被用于生产奶、肉、毛和皮。基因组区域选择足迹的检测可以为理解特定表型性状的遗传机制提供潜在的见解，并更好地指导动物育种。该研究产生了192.747G原始数据，并确定了超过503万个单核苷酸多态性（SNP）和334，151个Indel（插入和缺失）。此外，根据大足黑山羊和内蒙古绒山羊的等位基因频率差异，我们分别确定了155个和294个候选区域，其中包含86个和97个基因。Fst值反映的群体分化检测到368个可能的选择扫描区域，包括164个基因。在DBG和IMCG中，低杂合性和高遗传分化的前1%区域分别包含239个（135个基因）和176个（106个基因）候选区域。这些基因与生殖和生产性状有关，如“神经垂体激素活性”和“脂肪细胞因子信号通路”。这些发现可能有助于该物种的分子育种和长期保存宝贵的遗传资源。
Goats (Capra hircus) are one of the oldest livestock domesticated species, and have been used for their milk, meat, hair and skins over much of the world. Detection of selection footprints in genomic regions can provide potential insights for understanding the genetic mechanism of specific phenotypic traits and better guide in animal breeding. The study presented here has generated 192.747G raw data and identified more than 5.03 million single-nucleotide polymorphisms (SNPs) and 334,151 Indels (insertions and deletions). In addition, we identified 155 and 294 candidate regions harboring 86 and 97 genes based on allele frequency differences in Dazu black goats (DBG) and Inner Mongolia cashmere goats (IMCG), respectively. Populations differentiation reflected by Fst values detected 368 putative selective sweep regions including 164 genes. The top 1% regions of both low heterozygosity and high genetic differentiation contained 239 (135 genes) and 176 (106 genes) candidate regions in DBG and IMCG, respectively. These genes were related to reproductive and productive traits, such as “neurohypophyseal hormone activity” and “adipocytokine signaling pathway”. These findings may be conducive to molecular breeding and the long-term preservation of the valuable genetic resources for this species.
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DOI：
10.1126/science.1252806
发表时间：
2014-06-06
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Jiang Y;Xie M;Chen W;Talbot R;Maddox JF;Faraut T;Wu C;Muzny DM;Li Y;Zhang W;Stanton JA;Brauning R;Barris WC;Hourlier T;Aken BL;Searle SMJ;Adelson DL;Bian C;Cam GR;Chen Y;Cheng S;DeSilva U;Dixen K;Dong Y;Fan G;Franklin IR;Fu S;Guan R;Highland MA;Holder ME;Huang G;Ingham AB;Jhangiani SN;Kalra D;Kovar CL;Lee SL;Liu W;Liu X;Lu C;Lv T;Mathew T;McWilliam S;Menzies M;Pan S;Robelin D;Servin B;Townley D;Wang W;Wei B;White SN;Yang X;Ye C;Yue Y;Zeng P;Zhou Q;Hansen JB;Kristensen K;Gibbs RA;Flicek P;Warkup CC;Jones HE;Oddy VH;Nicholas FW;McEwan JC;Kijas J;Wang J;Worley KC;Archibald AL;Cockett N;Xu X;Wang W;Dalrymple BP
通讯作者：
Dalrymple BP
影响因子：
4.5
作者：
DeStefano GM;Kurban M;Anyane-Yeboa K;Dall'Armi C;Di Paolo G;Feenstra H;Silverberg N;Rohena L;López-Cepeda LD;Jobanputra V;Fantauzzo KA;Kiuru M;Tadin-Strapps M;Sobrino A;Vitebsky A;Warburton D;Levy B;Salas-Alanis JC;Christiano AM
通讯作者：
Christiano AM
影响因子：
4.3
作者：
Nakane Y;Yoshimura T
通讯作者：
Yoshimura T
影响因子：
64.8
作者：
Rubin, Carl-Johan;Zody, Michael C.;Andersson, Leif
通讯作者：
Andersson, Leif
影响因子：
2.4
作者：
Dierks, C.;Moemke, S.;Distl, O.
通讯作者：
Distl, O.