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高通量测序技术在鉴别影响猪产仔数QTL及候选基因中的应用 被引量:4

Application of high-throughput sequencing techniques in identifying QTL and candidate gene of litter size of sow
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摘要 产仔数是反映猪场生产水平和经济效应的一个重要的指标,作为多基因控制、遗传力低的复杂经济性状,鉴别影响产仔数的基因位点,利用分子选育标记来提高猪的产仔性能倍受重视。随着重测序成本的不断降低,基因组学研究不断深入,以全基因组重测序、简化基因组测序和基于高通量测序技术获得的芯片技术已得到广泛应用。本文综述了通过高通量测序技术以及基于高通量测序的芯片技术研究影响猪产仔数性能的数量性状座位(quantitative trait loci,QTL)及候选基因的研究进展,为后期鉴别影响产仔数变异主效基因提供参考,为生产采用分子育种进行产仔选育提升提供分子标记信息。 Litter size is an important indicator of the level of production and economic efficiency of pig farms. As a complex genetic trait controlled by polygenes and with low heritability,litter size has attracted increasing attention of researchers in identifying its affecting gene loci,and improving its performance with molecular selection markers. With continual reduction of re-sequencing cost,genomics research has been deepened. Chip technology based on genome-wide sequencing,simplified genome sequencing,and high-throughput sequencing technology has been widely used. This paper reviews progress in research on QTLs and candidate genes affecting the sow’ s litter size performance through high throughput sequencing technology and chip technology based on the high throughput sequencing. The aim of this review is to provide a reference for later identification of the main genes affecting the variation of litter size and molecular marker information for breeding.
作者 张倩 李平华 马翔 曹旸 胡卫东 陆志强 丁浛高 黄瑞华 ZHANG Qian;LI Pinghua;MA Xiang;CAO Yang;HU Weidong;LU Zhiqiang;DING Hangao;HUANG Ruihua(Institute of Swine Science,Nanjing Agricultural University,Nanjing 210095,China;Huai'an Academy,Nanjing Agricultural University,Huai'an 223003,China;Changshu Institute of Animal Health Supervision,Changshu 215500,China;Changshu Animal Disease Prevention and Control Center,Changshu 215500,China)
出处 《畜牧与兽医》 北大核心 2019年第1期118-124,共7页 Animal Husbandry & Veterinary Medicine
基金 国家自然科学基金(31601923) 淮安市重点研发计划(HAN201618 HAN201617) 江苏省农业三新工程(SXGC [2017] 275 SXGC [2016] 146)
关键词 产仔数 高通量技术 芯片技术 litter size high-throughput sequencing chip technology sow
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