双用途牛一个亚群纯合子、富杂合子区域和基因组近交估计的评估。

IF 1.9 3区 农林科学 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of Animal Breeding and Genetics Pub Date : 2023-11-27 DOI:10.1111/jbg.12836
E. R. Carrara, P. S. Lopes, R. Veroneze, R. J. Pereira, L. E. F. Zadra, M. G. C. D. Peixoto
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引用次数: 0

摘要

几十年来,牛的近亲繁殖一直使用系谱信息进行评估。目前,近交系数可以利用基因组信息如纯合子数(ROH)来获得。本研究的目的是定量分析古泽双用途牛亚群中的ROH和杂合性富区(HRR),检验ROH和HRR岛,并将ROH获得的近交系数与其他基因组近交系数进行比较。采用50k snp基因分型的1733只古泽动物亚群获得了ROH和HRR片段。采用ROH (FROH)、基于VanRaden方法1的参考等位基因频率基因组关系矩阵(FGRM)、基于VanRaden方法1的等位基因频率固定在0.5的基因组关系矩阵(FGRM_0.5)和纯合位点比例(FHOM)计算近交系数。共鉴定出15660个ROH,其中数量最多的是BTA6染色体。共鉴定出4843条hrr,其中hrr数量最多的是BTA23染色体。没有根据既定标准确定ROH和HRR岛屿,但在BTA6的64至67 Mb, BTA2的36至37 Mb和BTA23的0.50至1.25 Mb范围内检查了最接近岛屿定义的区域。在ROH岛上发现的基因以前与乳制品和牛肉性状有关,而在HRR岛上发现的基因以前与生殖性状和抗病能力有关。FROH = 0.095±0.084,与FGRM的Spearman相关性为低(0.44),与FHOM的Spearman相关性为中高(0.79),与FGRM_0.5的Spearman相关性为0.80。ROH测定的近交系数高于其他牛品种,也高于以往研究中获得的guzer品种的基于家系的近交系数。建议今后进一步研究由ROH决定的近交对所研究亚群体选择性状的影响。
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Assessment of runs of homozygosity, heterozygosity-rich regions and genomic inbreeding estimates in a subpopulation of Guzerá (Bos indicus) dual-purpose cattle

For decades, inbreeding in cattle has been evaluated using pedigree information. Nowadays, inbreeding coefficients can be obtained using genomic information such as runs of homozygosity (ROH). The aims of this study were to quantify ROH and heterozygosity-rich regions (HRR) in a subpopulation of Guzerá dual-purpose cattle, to examine ROH and HRR islands, and to compare inbreeding coefficients obtained by ROH with alternative genomic inbreeding coefficients. A subpopulation of 1733 Guzerá animals genotyped for 50k SNPs was used to obtain the ROH and HRR segments. Inbreeding coefficients by ROH (FROH), by genomic relationship matrix based on VanRaden's method 1 using reference allele frequency in the population (FGRM), by genomic relationship matrix based on VanRaden's method 1 using allele frequency fixed in 0.5 (FGRM_0.5), and by the proportion of homozygous loci (FHOM) were calculated. A total of 15,660 ROH were identified, and the chromosome with the highest number of ROH was BTA6. A total of 4843 HRRs were identified, and the chromosome with the highest number of HRRs was BTA23. No ROH and HRR islands were identified according to established criteria, but the regions closest to the definition of an island were examined from 64 to 67 Mb of BTA6, from 36 to 37 Mb of BTA2 and from 0.50 to 1.25 Mb of BTA23. The genes identified in ROH islands have previously been associated with dairy and beef traits, while genes identified on HRR islands have previously been associated with reproductive traits and disease resistance. FROH was equal to 0.095 ± 0.084, and its Spearman correlation with FGRM was low (0.44) and moderate-high with FHOM (0.79) and with FGRM_0.5 (0.80). The inbreeding coefficients determined by ROH were higher than other cattle breeds' and higher than pedigree-based inbreeding in the Guzerá breed obtained in previous studies. It is recommended that future studies investigate the effects of inbreeding determined by ROH on the traits under selection in the subpopulation studied.

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来源期刊
Journal of Animal Breeding and Genetics
Journal of Animal Breeding and Genetics 农林科学-奶制品与动物科学
CiteScore
5.20
自引率
3.80%
发文量
58
审稿时长
12-24 weeks
期刊介绍: The Journal of Animal Breeding and Genetics publishes original articles by international scientists on genomic selection, and any other topic related to breeding programmes, selection, quantitative genetic, genomics, diversity and evolution of domestic animals. Researchers, teachers, and the animal breeding industry will find the reports of interest. Book reviews appear in many issues.
期刊最新文献
Issue Information Influence of variance component estimates on genomic predictions for growth and reproductive-related traits in Nellore cattle. Genomic selection strategies for the German Merino sheep breeding programme - A simulation study. Correction to: Rahbar et al., 2023. Defining desired genetic gains for Pacific white shrimp (Litopeneaus vannamei) breeding objectives using participatory approaches. Journal of Animal Breeding and Genetics. 2024;141:390-402. Combining genomics and semen microbiome increases the accuracy of predicting bull prolificacy.
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