• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过 SNP 检测在罗马尼亚荷斯坦牛、中国荷斯坦牛和西门塔尔牛品种中鉴定的单核苷酸多态性的评估。

Evaluation of single nucleotide polymorphisms identified through the use of SNP assay in Romanian and Chinese Holstein and Simmental cattle breeds.

机构信息

1Research and Development Station for Bovine Arad, Arad, 310059, Romania; 2Research and Development Institute for Bovine Balotești, Balotești, 077015, Romania.

China Agricultural University, College of Animal Science and Technology, Beijing, 100193, China.

出版信息

Acta Biochim Pol. 2020 Sep 17;67(3):341-346. doi: 10.18388/abp.2020_5080.

DOI:10.18388/abp.2020_5080
PMID:32940436
Abstract

Simmental and Holstein cattle, being among the most widely distributed breeds worldwide, have been subjected to continuous selection for distinct purposes. In the current study, we evaluated the levels of SNPs identified through the use of SNP assay in Romanian Holstein and Romanian Simmental cattle, which then were compared to the data from Chinese Holstein and Chinese Simmental cattle. In total, 282 animals were genotyped: Romanian Holstein (n=30), Romanian Simmental (n=22), Chinese Holstein (n=96) and Chinese Simmental cattle (n=136), using 39,724 common SNPs to analyze minor allele frequency, genetic variability and level of SNPs. Among studied breeds, the average percentage of polymorphic markers was 90.84%, with the highest value in Chinese Simmental (91.37%) and lowest in Romanian Simmental cattle (90.31%). The average HO ranged from 0.426 in Romanian Holstein to 0.416 in Romanian Simmental, and from 0.425 in Chinese Holstein to 0.422 in Chinese Simmental. The distribution of SNPs was homogenous across the breeds, except the Romanian Simmental which displayed the lowest percentage of polymorphic markers (24,66 and 32,48%) from higher MAF category (0.3 to <0.4 and 0.4 to <0.5) and the highest percentage (3.82 and 12.00%) for SNPs from low and intermediate MAF categories (0.05 to <0.1 and 0.1 to <0.2). In the current study, the SNP assay was successfully used to analyze the level of SNP sites of Romanian cattle breeds, however, a higher number of samples and production data are needed for future applications of the results in genomic selection, genome-wide association studies and genetic diversity analysis.

摘要

西门塔尔牛和荷斯坦牛是世界上分布最广的品种之一,它们一直以来都在为不同的目的进行持续的选择。在本研究中,我们评估了通过 SNP 检测在罗马尼亚荷斯坦牛和罗马尼亚西门塔尔牛中鉴定的 SNP 水平,并将其与中国荷斯坦牛和中国西门塔尔牛的数据进行比较。总共有 282 头动物进行了基因分型:罗马尼亚荷斯坦牛(n=30)、罗马尼亚西门塔尔牛(n=22)、中国荷斯坦牛(n=96)和中国西门塔尔牛(n=136),使用 39724 个常见 SNP 来分析次要等位基因频率、遗传变异和 SNP 水平。在所研究的品种中,多态性标记的平均百分比为 90.84%,其中中国西门塔尔牛最高(91.37%),罗马尼亚西门塔尔牛最低(90.31%)。平均 HO 范围从罗马尼亚荷斯坦牛的 0.426 到罗马尼亚西门塔尔牛的 0.416,从中国荷斯坦牛的 0.425 到中国西门塔尔牛的 0.422。除罗马尼亚西门塔尔牛外,SNP 的分布在各品种之间是均匀的,罗马尼亚西门塔尔牛的高 MAF 类别(0.3 至<0.4 和 0.4 至<0.5)的多态性标记百分比最低(24、66 和 32.48%),低和中 MAF 类别(0.05 至<0.1 和 0.1 至<0.2)的 SNP 百分比最高(3.82 和 12.00%)。在本研究中,SNP 检测成功用于分析罗马尼亚牛品种的 SNP 位点水平,但为了在基因组选择、全基因组关联研究和遗传多样性分析中应用结果,需要更多的样本和生产数据。

相似文献

1
Evaluation of single nucleotide polymorphisms identified through the use of SNP assay in Romanian and Chinese Holstein and Simmental cattle breeds.通过 SNP 检测在罗马尼亚荷斯坦牛、中国荷斯坦牛和西门塔尔牛品种中鉴定的单核苷酸多态性的评估。
Acta Biochim Pol. 2020 Sep 17;67(3):341-346. doi: 10.18388/abp.2020_5080.
2
Association of SCD1 and DGAT1 SNPs with the intramuscular fat traits in Chinese Simmental cattle and their distribution in eight Chinese cattle breeds.SCD1 和 DGAT1 SNPs 与中国西门塔尔牛肌内脂肪性状的关联及其在 8 个中国牛种中的分布。
Mol Biol Rep. 2012 Feb;39(2):1065-71. doi: 10.1007/s11033-011-0832-0. Epub 2011 May 24.
3
Selection and effectiveness of informative SNPs for paternity in Chinese Simmental cattle based on a high-density SNP array.基于高密度 SNP 芯片的中国西门塔尔牛有效信息量 SNP 位点的选择与应用。
Gene. 2018 Oct 5;673:211-216. doi: 10.1016/j.gene.2018.06.054. Epub 2018 Jun 19.
4
Genetic characterization of indigenous goat breeds in Romania and Hungary with a special focus on genetic resistance to mastitis and gastrointestinal parasitism based on 40 SNPs.对罗马尼亚和匈牙利本土山羊品种的遗传特征进行研究,重点关注基于 40 个 SNP 的乳腺炎和胃肠道寄生虫病遗传抗性。
PLoS One. 2018 May 9;13(5):e0197051. doi: 10.1371/journal.pone.0197051. eCollection 2018.
5
Preselection statistics and Random Forest classification identify population informative single nucleotide polymorphisms in cosmopolitan and autochthonous cattle breeds.预选统计和随机森林分类确定了世界性和土着牛品种中具有群体信息的单核苷酸多态性。
Animal. 2018 Jan;12(1):12-19. doi: 10.1017/S1751731117001355. Epub 2017 Jun 23.
6
Assessment of A1 and A2 variants in the CNS2 gene of some cattle breeds by using ACRS-PCR method.采用 ACRS-PCR 方法对部分牛种 CNS2 基因的 A1 和 A2 变异体进行评估。
Anim Biotechnol. 2023 Nov;34(4):1505-1513. doi: 10.1080/10495398.2022.2036176. Epub 2022 Feb 17.
7
Haplotype variability in the bovine MITF gene and association with piebaldism in Holstein and Simmental cattle breeds.牛 MITF 基因的单倍型变异性与荷斯坦和西门塔尔牛的花斑病的关联。
Anim Genet. 2012 Jun;43(3):250-6. doi: 10.1111/j.1365-2052.2011.02242.x. Epub 2011 Sep 15.
8
Genome-Wide Association Studies for Milk Somatic Cell Score in Romanian Dairy Cattle.罗马尼亚奶牛牛奶体细胞评分的全基因组关联研究。
Genes (Basel). 2021 Sep 24;12(10):1495. doi: 10.3390/genes12101495.
9
Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations.选择性清除的鉴定揭示了中国荷斯坦牛和西门塔尔牛群体之间的差异选择。
Genet Sel Evol. 2016 Oct 6;48(1):76. doi: 10.1186/s12711-016-0254-5.
10
Analysis of runs of homozygosity and their relationship with inbreeding in five cattle breeds farmed in Italy.意大利养殖的五个牛品种的纯合子片段分析及其与近亲繁殖的关系。
Anim Genet. 2015 Apr;46(2):110-21. doi: 10.1111/age.12259. Epub 2014 Dec 22.

引用本文的文献

1
The impact of rumen microbial composition on apparent digestibility, rumen fermentation and metabolism in Sanhe cows and Holstein cows of different parities under identical dietary conditions.相同日粮条件下,瘤胃微生物组成对不同胎次三河牛和荷斯坦奶牛表观消化率、瘤胃发酵及代谢的影响。
Front Vet Sci. 2025 Feb 17;11:1463209. doi: 10.3389/fvets.2024.1463209. eCollection 2024.
2
BovineTalk: machine learning for vocalization analysis of dairy cattle under the negative affective state of isolation.牛语:用于隔离负面情绪状态下奶牛发声分析的机器学习
Front Vet Sci. 2024 Feb 1;11:1357109. doi: 10.3389/fvets.2024.1357109. eCollection 2024.
3
Model Comparison of Heritability Enrichment Analysis in Livestock Population.
遗传力富集分析在畜牧群体中的模型比较。
Genes (Basel). 2022 Sep 13;13(9):1644. doi: 10.3390/genes13091644.