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Database of cattle candidate genes and genetic markers for milk production and mastitis

机译:牛产奶和乳腺炎的候选基因和遗传标记数据库

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摘要

A cattle database of candidate genes and genetic markers for milk production and mastitis has been developed to provide an integrated research tool incorporating different types of information supporting a genomic approach to study lactation, udder development and health. The database contains 943 genes and genetic markers involved in mammary gland development and function, representing candidates for further functional studies. The candidate loci were drawn on a genetic map to reveal positional overlaps. For identification of candidate loci, data from seven different research approaches were exploited: (i) gene knockouts or transgenes in mice that result in specific phenotypes associated with mammary gland (143 loci); (ii) cattle QTL for milk production (344) and mastitis related traits (71); (iii) loci with sequence variations that show specific allele-phenotype interactions associated with milk production (24) or mastitis (10) in cattle; (iv) genes with expression profiles associated with milk production (207) or mastitis (107) in cattle or mouse; (v) cattle milk protein genes that exist in different genetic variants (9); (vi) miRNAs expressed in bovine mammary gland (32) and (vii) epigenetically regulated cattle genes associated with mammary gland function (1). Fourty-four genes found by multiple independent analyses were suggested as the most promising candidates and were further in silico analysed for expression levels in lactating mammary gland, genetic variability and top biological functions in functional networks. A miRNA target search for mammary gland expressed miRNAs identified 359 putative binding sites in 3′UTRs of candidate genes.
机译:已经开发了牛的牛奶生产和乳腺炎的候选基因和遗传标记的数据库,以提供一种整合了研究工具的综合研究工具,该工具结合了不同类型的信息,从而支持采用基因组方法研究泌乳,乳房发育和健康。该数据库包含与乳腺发育和功能有关的943个基因和遗传标记,代表了进一步功能研究的候选人。候选基因座被绘制在遗传图谱上以揭示位置重叠。为了鉴定候选基因座,利用了来自七个不同研究方法的数据:(i)小鼠中的基因敲除或转基因,其导致与乳腺有关的特定表型(143个基因座); (ii)牛的产奶量QTL(344)和乳腺炎相关性状(71); (iii)具有序列变异的基因座,显示与牛的产奶量(24)或乳腺炎(10)相关的特定等位基因-表型相互作用; (iv)具有与牛或小鼠的产奶量(207)或乳腺炎(107)相关的表达谱的基因; (v)存在于不同遗传变异中的牛乳蛋白基因(9); (vi)在牛乳腺中表达的miRNA(32)和(vii)与乳腺功能相关的表观遗传调控的牛基因(1)。通过多次独立分析发现的44个基因被认为是最有前途的候选基因,并在计算机上进一步分析了泌乳乳腺的表达水平,遗传变异性和功能网络中的最高生物学功能。针对乳腺表达的miRNA的miRNA靶标搜索在候选基因的3'UTR中确定了359个假定的结合位点。

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