Institute of Animal Breeding and Genetics, Justus-Liebig University Giessen, Ludwigstr. 21b, Giessen, Germany.
Department of Animal Sciences, Arak University, Shahid Beheshti Street, Arak, Iran.
Anim Genet. 2020 Jun;51(3):391-408. doi: 10.1111/age.12925. Epub 2020 Feb 25.
The aim of this study was to detect selection signatures considering cows from the German Holstein (GH) and the local dual-purpose black and white (DSN) population, as well as from generated sub-populations. The 4654 GH and 261 DSN cows were genotyped with the BovineSNP50 Genotyping BeadChip. The geographical herd location was used as an environmental descriptor to create the East-DSN and West-DSN sub-populations. In addition, two further sub-populations of GH cows were generated, using the extreme values for solutions of residual effects of cows for the claw disorder dermatitis digitalis. These groups represented the most susceptible and most resistant cows. We used cross-population extended haplotype homozygosity methodology (XP-EHH) to identify the most recent selection signatures. Furthermore, we calculated Wright's fixation index (F ). Chromosomal segments for the top 0.1 percentile of negative or positive XP-EHH scores were studied in detail. For gene annotations, we used the Ensembl database and we considered a window of 250 kbp downstream and upstream of each core SNP corresponding to peaks of XP-EHH. In addition, functional interactions among potential candidate genes were inferred via gene network analyses. The most outstanding XP-EHH score was on chromosome 12 (at 77.34 Mb) for DSN and on chromosome 20 (at 36.29-38.42 Mb) for GH. Selection signature locations harbored QTL for several economically important milk and meat quality traits, reflecting the different breeding goals for GH and DSN. The average F value between GH and DSN was quite low (0.068), indicating shared founders. For group stratifications according to cow health, several identified potential candidate genes influence disease resistance, especially to dermatitis digitalis.
本研究旨在检测选择信号,考虑来自德国荷斯坦(GH)和当地的黑白兼用(DSN)牛群的奶牛,以及由此产生的亚群。4654 头 GH 和 261 头 DSN 奶牛用 BovineSNP50 Genotyping BeadChip 进行了基因分型。地理位置被用作环境描述符,以创建东 DSN 和西 DSN 亚群。此外,还利用奶牛爪病皮炎残留效应的极值生成了两个进一步的 GH 牛亚群。这些群体代表了最易感和最具抵抗力的奶牛。我们使用跨群体扩展单倍型纯合度方法(XP-EHH)来识别最近的选择信号。此外,我们计算了 Wright 的固定指数(F)。对 XP-EHH 得分最高的 0.1%的染色体片段进行了详细研究。对于基因注释,我们使用了 Ensembl 数据库,并考虑了每个核心 SNP 上下游 250kbp 的窗口,对应于 XP-EHH 的峰值。此外,通过基因网络分析推断了潜在候选基因之间的功能相互作用。DSN 上最突出的 XP-EHH 评分位于第 12 号染色体(77.34Mb),GH 上最突出的 XP-EHH 评分位于第 20 号染色体(36.29-38.42Mb)。选择信号位置携带了多个经济上重要的牛奶和肉质性状的 QTL,反映了 GH 和 DSN 的不同育种目标。GH 和 DSN 之间的平均 F 值相当低(0.068),表明有共同的祖先。根据奶牛健康状况进行的分组分层,有几个确定的潜在候选基因影响疾病抵抗力,特别是对皮炎的抵抗力。