Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Domzale, Slovenia.
Anim Genet. 2009 Dec;40(6):832-51. doi: 10.1111/j.1365-2052.2009.01921.x. Epub 2009 Jun 8.
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.
已开发出一个用于牛奶生产和乳腺炎的候选基因和遗传标记的牛数据库,以提供一种综合研究工具,整合支持基因组学方法研究泌乳、乳房发育和健康的不同类型信息。该数据库包含 943 个与乳腺发育和功能相关的基因和遗传标记,这些基因和标记代表了进一步功能研究的候选者。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,利用了来自七种不同研究方法的数据:(i)导致与乳腺相关的特定表型的小鼠基因敲除或转基因(143 个基因座);(ii)牛产奶量的 QTL(344 个)和乳腺炎相关性状(71 个);(iii)与产奶量(24 个)或乳腺炎(10 个)相关的具有特定等位基因-表型相互作用的序列变异的基因座(24 个);(iv)与牛或鼠产奶量(207 个)或乳腺炎(107 个)相关的具有表达谱的基因;(v)具有不同遗传变异的牛乳蛋白基因(9 个);(vi)在牛乳腺中表达的 miRNAs(32 个);(vii)与乳腺功能相关的表观遗传调控的牛基因(1 个)。通过多种独立分析发现的 44 个基因被认为是最有希望的候选基因,并进一步在乳牛乳腺的表达水平、遗传变异性和功能网络中的主要生物学功能方面进行了计算机分析。针对乳腺表达的 miRNA 的 miRNA 靶标搜索,在候选基因的 3'UTR 中鉴定出 359 个可能的结合位点。