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丹麦荷斯坦奶牛中影响临床乳腺炎、体细胞评分、乳房形态特征的数量性状位点检测及对产奶量相关效应的评估。

Detection of quantitative trait loci in Danish Holstein cattle affecting clinical mastitis, somatic cell score, udder conformation traits, and assessment of associated effects on milk yield.

作者信息

Lund M S, Guldbrandtsen B, Buitenhuis A J, Thomsen B, Bendixen C

机构信息

Department of Genetics & Biotechnology, Faculty of Agricultural Sciences, University of Aarhus, Research Centre Foulum, Tjele, Denmark.

出版信息

J Dairy Sci. 2008 Oct;91(10):4028-36. doi: 10.3168/jds.2007-0290.

Abstract

The aim of this study was to 1) detect QTL across the cattle genome that influence the incidence of clinical mastitis and somatic cell score (SCS) in Danish Holsteins, and 2) characterize these QTL for pleiotropy versus multiple linked quantitative trait loci (QTL) when chromosomal regions affecting clinical mastitis were also affecting other traits in the Danish udder health index or milk production traits. The chromosomes were scanned using a granddaughter design where markers were typed for 19 to 34 grandsire families and 1,373 to 2,042 sons. A total of 356 microsatellites covering all 29 autosomes were used in the scan. Among the across-family regression analyses, 16 showed chromosome-wide significance for the primary traits incidence of clinical mastitis in first (CM1), second (CM2), and third (CM3) lactations, and SCS. Regions of chromosomes 5, 6, 9, 11, 15, and 26 were found to affect CM and regions of chromosomes 5, 6, 8, 13, 22, 23, 24, and 25 affected SCS. Markers on chromosomes 6, 11, 15, and 26 can be used to perform marker-assisted selection on CM without a direct negative selection on milk yield, because no effects were detected on the milk traits. Comparing multi-trait models assuming either a pleiotropic QTL affecting 2 traits or 2 QTL each affecting 1 trait gave some evidence to distinguish between these models. For Bos taurus autosome 5, the most likely models were a pleiotropic QTL affecting CM2, CM3, and SCS, and a linked QTL affecting fat yield index. For Bos taurus autosome 9, the most likely model is a pleiotropic QTL affecting CM1 and CM2 at approximately 8 cM.

摘要

本研究的目的是

1)检测丹麦荷斯坦奶牛全基因组中影响临床乳腺炎发病率和体细胞评分(SCS)的数量性状基因座(QTL);2)当影响临床乳腺炎的染色体区域也影响丹麦乳房健康指数中的其他性状或产奶性状时,对这些QTL的多效性与多个连锁数量性状基因座(QTL)进行特征分析。使用孙女设计对染色体进行扫描,对19至34个祖父系家族以及1373至2042个儿子进行标记分型。扫描共使用了覆盖所有29条常染色体的356个微卫星。在跨家族回归分析中,16个分析显示,对于初产(CM1)、二胎(CM2)和三胎(CM3)泌乳期的临床乳腺炎发病率以及体细胞评分这些主要性状,具有全染色体范围的显著性。发现5号、6号、9号、11号、15号和26号染色体区域影响临床乳腺炎,5号、6号、8号、13号、22号、23号、24号和25号染色体区域影响体细胞评分。6号、11号、15号和26号染色体上的标记可用于对临床乳腺炎进行标记辅助选择,而不会对产奶量进行直接的负面选择,因为未检测到对产奶性状的影响。比较假设影响两个性状的多效性QTL或每个影响一个性状的两个QTL的多性状模型,为区分这些模型提供了一些证据。对于牛的5号常染色体,最可能的模型是一个影响CM2、CM3和体细胞评分的多效性QTL,以及一个影响脂肪产量指数的连锁QTL。对于牛的9号常染色体,最可能的模型是一个在约8厘摩处影响CM1和CM2的多效性QTL。

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