Current status and future perspectives for sequencing livestock genomes.
Current status and future perspectives for sequencing livestock genomes.
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DOI：
10.1186/2049-1891-3-8
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发表时间：
2012-03-01
影响因子：
7
通讯作者：
Cavalcoli J
中科院分区：
文献类型：
--
作者：
Bai Y;Sartor M;Cavalcoli J
只是在最近几年，几种农业动物的序列草案才被汇编起来。组装个体动物的整个基因组序列或感兴趣的特定区域对于农业研究人员在具有不同性能的动物之间进行遗传比较越来越重要。我们回顾了几个测序农业物种的现状，并建议下一代测序（NGS）技术，降低测序成本和测序速度的提高，可以使农业研究人员受益。通过利用先进的NGS技术，可以精确定位对环境因素影响更不稳定的基因和染色体区域。更长期的目标是解决动物在分子和细胞水平上如何对不同的环境模型（例如营养）做出反应的问题。在揭示重要基因和基因-环境相互作用后，遗传改良的速度也可以加快。很明显，NGS技术将能够帮助动物科学家有效地饲养动物，更好地预防传染病，从而降低动物生产的总体成本。
Only in recent years, the draft sequences for several agricultural animals have been assembled. Assembling an individual animal's entire genome sequence or specific region(s) of interest is increasingly important for agricultural researchers to perform genetic comparisons between animals with different performance. We review the current status for several sequenced agricultural species and suggest that next generation sequencing (NGS) technology with decreased sequencing cost and increased speed of sequencing can benefit agricultural researchers. By taking advantage of advanced NGS technologies, genes and chromosomal regions that are more labile to the influence of environmental factors could be pinpointed. A more long term goal would be addressing the question of how animals respond at the molecular and cellular levels to different environmental models (e.g. nutrition). Upon revealing important genes and gene-environment interactions, the rate of genetic improvement can also be accelerated. It is clear that NGS technologies will be able to assist animal scientists to efficiently raise animals and to better prevent infectious diseases so that overall costs of animal production can be decreased.
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影响因子：
46.9
作者：
Trapnell C;Williams BA;Pertea G;Mortazavi A;Kwan G;van Baren MJ;Salzberg SL;Wold BJ;Pachter L
通讯作者：
Pachter L
影响因子：
3
作者：
Xie C;Tammi MT
通讯作者：
Tammi MT
影响因子：
4.4
作者：
Groenen MA;Megens HJ;Zare Y;Warren WC;Hillier LW;Crooijmans RP;Vereijken A;Okimoto R;Muir WM;Cheng HH
通讯作者：
Cheng HH
使用下一代 DNA 测序数据进行变异发现和基因分型的框架。
影响因子：
30.8
作者：
通讯作者：
--
影响因子：
14.9
作者：
Wang J;He X;Ruan J;Dai M;Chen J;Zhang Y;Hu Y;Ye C;Li S;Cong L;Fang L;Liu B;Li S;Wang J;Burt DW;Wong GK;Yu J;Yang H;Wang J
通讯作者：
Wang J