v

Chinese Livestock and Poultry Breeding ›› 2026, Vol. 22 ›› Issue (6): 72-80.doi: 10.19543/j.cnki.1673-4556.20260602.007cstr: 32418.14.j.cnki.1673-4556.20260602.007

• Germplasm Utilization • Previous Articles     Next Articles

Population genetic structure analysis and molecular mating of Jinnan cattle based on genome-wide SNP loci

Duanyang Ren(), Wenxia Li, Xinpei Wang, Xi Wang()   

  1. Institute of Ecological Agriculture and Animal Husbandry, Shanxi Agricultural University, Shuozhou, 036002, Shanxi
  • Received:2026-02-26 Online:2026-06-26 Published:2026-07-06
  • Contact: Xi Wang E-mail:ren457842071@163.com;wxphilip@aliyun.com

Abstract:

Objective This study aims to analyze the genetic diversity and population genetic structure of the conservation population of Jinnan cattle, evaluate genomic relationships among individuals, and conduct molecular mating, thereby better protecting and utilizing the genetic resources of Jinnan cattle. Method A total of 161 Jinnan cattle (46 bulls and 115 cows) were genotyped using the bovine 20 K single nucleotide polymorphism (SNP) chip. After quality control, the genotypic data were used to analyze genetic diversity, population genetic structure, and calculate genomic relationships. Genetic contributions of bulls were optimized to minimize inbreeding coefficients in the next generation while maintaining population genetic diversity. Result The results showed that after quality control, 17070 SNP loci were retained. The average observed heterozygosity of the individuals was 0.387, the average expected heterozygosity was 0.386, and the mean SNP polymorphism information content was 0.305. A total of 1,907 runs of homozygosity (ROH) were detected, with an average length of 7.754 Mb and an average of 12.973 ROH segments per individual. The average inbreeding coefficient based on ROH was 0.060. According to the family evolutionary tree, this Jinnan cattle population can be clearly divided into more than 8 families. The genetic diversity of this population is 0.888. Based on the relationship matrix constructed by whole-genome SNP loci, the genetic relationship between individuals ranges from -0.107 to 0.521.When SNPs were divided into haplotype blocks to build the relationship matrix, pairwise relationships ranged from 0 to 0.269 with a mean of 0.112. By optimizing bull genetic contributions to minimize next-generation inbreeding, the top 10 bulls accounted for 57.639% of the total genetic contribution. Conclusion In summary, the conservation population of Jinnan cattle has abundant genetic diversity and low inbreeding level. The kinship estimated based on haplotypes can provide a theoretical basis for scientific mating and conservation utilization of Jinnan cattle.

Key words: Jinnan cattle, Whole genome SNP chip, Genetic diversity, Population genetic structure, Molecular mating

CLC Number: 

  • S823

Fig. 1

Distribution of SNPs on each chromosome after quality control"

Fig. 2

Analysis of population genetic diversity"

Fig. 3

Analysis of locus heterozygosity and individual heterozygosity"

Fig. 4

Principal component analysis of the Jinnan cattle population"

Fig. 5

Heatmap of IBS genetic distance for Jinnan cattle population"

Fig. 6

Family tree of Jinnan cattle population"

Fig. 7

Heatmap of the whole-genome SNP-based relationship matrix of Jinnan cattle"

Fig. 8

Molecular mating analysis of Jinnan cattle based on haplotypes"

[1] 蒋洪茂. 我国黄牛肉用性能研究报告(下)[J]. 黄牛杂志, 1996, 22(4): 28-31.
JIANG H M. Research report on the performance of Chinese yellow beef (Ⅱ)[J]. China Cattle Science, 1996, 22(4): 28-31.
[2] 呙明鹏, 孟源, 王宏浩, 等. 晋南牛不同生长阶段体重和体尺性状遗传参数估计[J]. 畜牧兽医学报, 2023, 54(4): 1452-1464.
GUO M P, MENG Y, WANG H H, et al. Estimation of genetic parameters of body weight and body size traits in Jinnan cattle at different growth stages[J]. Acta Veterinaria et Zootechnica Sinica, 2023, 54(4): 1452-1464.
[3] 钟梓奇, 谢鑫峰, 王子轶, 等. 分子标记在畜禽保种中应用的研究进展[J]. 中国畜禽种业, 2024, 20(3): 3-10.
ZHONG Z Q, XIE X F, WANG Z Y, et al. Research progress on application of molecular markers in livestock and poultry conservation[J]. The Chinese Livestock and Poultry Breeding, 2024, 20(3): 3-10.
[4] 王曦, 张元庆, 贺东昌, 等. 晋南牛与部分地方黄牛之间遗传多样性分析[J]. 畜牧兽医学报, 2015, 46(6): 911-923.
WANG X, ZHANG Y Q, HE D C, et al. Analyses of genetic diversity among Jinnan cattle and three other Chinese indigenous cattle breeds[J]. Acta Veterinaria et Zootechnica Sinica, 2015, 46(6): 911-923.
[5] 艾尼卡尔·艾尔肯, 马凯伦, 王丹, 等. 新疆褐牛体型性状基因组育种值与表型值相关性案例分析[J]. 中国畜牧杂志 2026:1-12.
AINIKAER·A E K, MA K L, WANG D,et al. Correlation analysis between genomic estimated breeding values and phenotypic values of body conformation traits in Xinjiang brown cattle[J]. Chinese Journal of Animal Science, 2026: 1-12.
[6] 尚燕燕. 基于基因组信息制定新疆褐牛选配方案[D]. 乌鲁木齐: 新疆农业大学, 2025.
SHANG Y Y. Developing a Mating Scheme for Xinjiang Brown Cattle Based on Genomic Information[D]. Urumqi: Xinjiang Agricultural University, 2025.
[7] 刘晨龙, 卢丹, 周泉勇, 等. 利用高密度SNP芯片分析杭猪的群体遗传结构[J]. 畜牧兽医学报, 2022, 53(8): 2502-2513.
LIU C L, LU D, ZHOU Q Y, et al. Analysis of population genetic structure of Hang pigs by high density SNP chip[J]. Acta Veterinaria et Zootechnica Sinica, 2022, 53(8): 2502-2513.
[8] 阳文攀, 黄畅, 李细林, 等. 东乡花猪遗传多样性与分子选配分析[J]. 中国畜牧杂志, 2025, 61(8): 124-129.
YANG W P, HUANG C, LI X L, et al. Genetic Diversity and Molecular Mating Analysis of Dongxiang Spotted Pigs [J]. Chinese Journal of Animal Science, 2025, 61(8): 124-129.
[9] 范广轩, 王天骄, 董依萌, 等. 基于SNP位点的吉林梅花鹿分子系谱构建及群体遗传结构分析[J]. 畜牧兽医学报, 2024, 55(9): 3925-3935.
FAN G X, WANG T J, DONG Y M, et al. Molecular genealogy construction and population genetic structure analysis of Jilin Sika deer based on SNP loci[J]. Acta Veterinaria et Zootechnica Sinica, 2024, 55(9): 3925-3935.
[10] 马龙刚, 刘楠, 尼玛群宗, 等. 基于SNP芯片信息分析西藏四个本地牛种的血统组成[J]. 畜牧兽医学报, 2024, 55(10): 4377-4390.
MA L G, LIU N, NI M, et al. Study on the genetic composition of four local Tibetan cattle breeds based on SNP chip analysis[J]. Acta Veterinaria et Zootechnica Sinica, 2024, 55(10): 4377-4390.
[11] 蔡保, 郭宪. 中国黄牛全基因组测序研究进展[J]. 中国畜禽种业, 2024, 20(10): 17-30.
CAI B, GUO X. Research progress on whole genome sequencing of Chinese cattle[J]. The Chinese Livestock and Poultry Breeding, 2024, 20(10): 17-30.
[12] 童雄, 罗威, 闵力, 等. 基于全基因组SNPs分析陆丰黄牛和雷琼牛的群体结构与遗传多样性特征[J]. 中国农业科学, 2023, 56(14):2798–2811.
TONG X, LUO W, MIN L, et al. Population structure and genetic diversity of Lufeng cattle and Leiqiong cattle based on genome-wide SNPs[J]. Scientia Agricultura Sinica, 2023,56(14):2798-2811.
[13] 刘爽. 基于基因组测序解析固原黄牛关键性状的遗传特征[D]. 银川: 宁夏大学, 2025.
LIU S. Genetic characterization of key traits in Guyuan cattle based on genome sequencing[D]. Yinchuan: Ningxia University, 2025.
[14] 李倩, 金海, 张刘, 等. 平凉红牛和西门塔尔牛基因组选择特征分析[J/OL]. 中国畜牧兽医, 2026: 1-12. (2026-04-23). .
LI Q, JIN H, ZHANG L, et al. Genomic selection signal characteristics analysis of Pingliang red and Simmental cattle[J/OL]. China Animal Husbandry & Veterinary Medicine, 2026: 1-12. (2026-04-23). .
[15] 王宏浩, 任小康, 张毅, 等. 基因芯片技术在晋南牛种公牛选育中的应用[J]. 畜牧兽医学报 2021, 52(10):2803-2813.
WANG H H, REN X K, ZHANG Y, et al. Application of gene chip technology in Jinnan bull breeding[J]. Acta Veterinaria et Zootechnica Sinica, 2021, 52(10):2803-2813.
[16] 戎艳花, 贾雪纯, 李鹏飞, 等. 晋南牛遗传结构特征及选择信号分析[J]. 中国畜牧兽医, 2024, 51(1):160–171.
RONG Y H, JIA X C, LI P F, et al. Analysis of genetic structure characteristics and selection signal in Jinnan cattle[J]. China Animal Husbandry & Veterinary Medicine, 2024, 51(1): 160-171.
[17] PURCELL S, NEALE B, TODD-BROWN K, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses[J]. American Journal of Human Genetics, 2007, 81(3): 559-575.
[18] PARADIS E, SCHLIEP K. Ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R[J]. Bioinformatics, 2019, 35(3): 526-528.
[19] YANG J, LEE S H, GODDARD M E, et al. GCTA: a tool for genome-wide complex trait analysis[J]. American Journal of Human Genetics, 2011, 88(1): 76-82.
[20] YANG J, BENYAMIN B, MCEVOY B P, et al. Common SNPs explain a large proportion of the heritability for human height[J]. Nature Genetics, 2010, 42(7): 565-569.
[21] WELLMANN R. Optimum contribution selection for animal breeding and conservation: the R package optiSel[J]. BMC Bioinformatics, 2019, 20(1): 25.
[22] CENDRON F, LEDESMA-RODRÍGUEZ A, MASTRANGELO S, et al. Genome-wide analysis of the Siboney de Cuba cattle breed: genetic characterization and framing with cattle breeds worldwide[J]. Frontiers in Genetics, 2024, 15: 1302580.
[23] 马钧, 樊安平, 王武生, 等. 全基因组重测序解析秦川牛保种群遗传多样性和遗传结构[J]. 遗传, 2023, 45(7): 602-616.
MA J, FAN A P, WANG W S, et al. Analysis of genetic diversity and genetic structure of Qinchuan cattle conservation population using whole-genome resequencing[J]. Hereditas, 2023, 45(7): 602-616.
[24] 刘思宇, 张曼, 张岩, 等. 基于重测序数据评估南阳牛保种效果[J]. 畜牧兽医学报, 2024, 55(9): 3876-3886.
LIU S Y, ZHANG M, ZHANG Y, et al. Evaluation of the conservation effect in Nanyang cattle based on resequencing data[J]. Acta Veterinaria et Zootechnica Sinica, 2024, 55(9): 3876-3886.
[25] 张岩, 魏稚彤, 虎业浩, 等. 基于全基因组重测序评估郏县红牛保种群遗传多样性与群体结构[J]. 中国畜牧兽医, 2024, 51(7): 2933-2942.
ZHANG Y, WEI Z T, HU Y H, et al. Genetic diversity and population structure analysis of Jiaxian red cattle based on whole genome sequencing[J]. China Animal Husbandry & Veterinary Medicine, 2024, 51(7): 2933-2942.
[26] PURFIELD D C, BERRY D P, MCPARLAND S, et al. Runs of homozygosity and population history in cattle[J]. BMC Genetics, 2012, 13: 70.
[27] WANG J. Marker-based estimates of relatedness and inbreeding coefficients: an assessment of current methods[J]. Journal of Evolutionary Biology, 2014, 27(3): 518-530.
[28] Do C, Waples R S, Peel D, et al.NeEstimator v2: re-implementation of software for the estimation of contemporary effective population size (Ne ) from genetic data[J]. Molecular Ecology Resources, 2014, 14(1):209-214
[29] 刘贤, 茹宝瑞, 李志明, 等. 南阳牛和郏县红牛群体威胁程度评价及保护利用途径[J]. 家畜生态学报, 2022, 43(9): 93-96.
LIU X, RU B R, LI Z M, et al. Evaluation of Threatened Degree of Nanyang Cattle and Jiaxian Red Cattle Populations and Strategies for Protection and Utilization[J]. Acta Ecologiae Animalis Domastici, 2022, 43(9): 93-96.
[1] Weisheng Chen, Liwang Li, Hua Peng. Research on the current status, historical evolution, and future development path of beef cattle industry in China [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 10-17.
[2] Hong Chen. Breeding and hybrid utilization of local Chinese cattle breeds [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 18-24.
[3] Lisheng Miao, Congyong Wang, Yang Cao, Yumin Zhao. Development of the beef cattle seed industry and genetic improvement pathways [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 25-30.
[4] Hai Wang, Daoning Yu, Chun Zhang, Qianqian Chu, Junjun Zhao, Daiyang Zhang, Congyong Wang. Research on innovation and industrialization of breeding technology of Huaxi cattle [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 38-44.
[5] Xiangmin Yan, Juan Geng, Guangwei Yang, Zhen Ma, Liang Gao, Jianming Liu, Xixia Huang. Technological innovation paths and systematic new practices for beef cattle genetic improvement in Xinjiang [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 45-52.
[6] Xiaoyun Chen, Donghui Fang, Jun Yi, Maozhong Fu, Jia Gan, Aguo Yueda, Yi Shi, Xiaodong Deng, Xiaoqin Ma, Ying Chen, Ruijuan Cao, Wei Wang. Current situation and high-quality development suggestions of the cattle industry in Sichuan province [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 53-59.
[7] Zhuangbing Li, Lei Yang, Weiwei Lei, Xianguang Ren, Zhonggong Wang, Yongjun Cai, Wei Chen, Xifeng Zhang. Effects of body brushing on intestinal microbiota structure, serum metabolism and antioxidant capacity in Bohai Black cattle [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 60-71.
[8] Hai Jin, Shuanping Zhao, Qian Li, Huibin Zhang, Xinyi Du, Qinggang Li, Lei Xu. Progress report on crossbreeding improvement of Dabieshan cattle [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 81-86.
[9] Liya Guo, Yang Yuan, Jinxiao Wei, Guangying Zhao, Yueyu Bai, Wei Zhang. Research on the application of the major germplasm innovation technologies for local cattle breeds empowered by digital and intelligent technologies [J]. Chinese Livestock and Poultry Breeding, 2026, 22(6): 87-95.
[10] Xiaoge Zhang, Yanduo Zhou, Jianzhang Li, Luping Ma, Jun Li, Ruijie Hao, Zijing Zhang, Yun Ma, Tianliu Zhang, Chengcheng Liang. Tissue expression and differentiation characteristics of genes regulating muscle fiber types in Xinyang buffalo [J]. Chinese Livestock and Poultry Breeding, 2026, 22(5): 32-42.
[11] Xuxin Zhu, Penghui Guo, Cheng Peng, Guohu Sun, Honghe Li, Yuhua Shen, Juanshan Zheng, Shengwei Pei, Xiaofang Feng. Effects of non-genetic factors on growth and reproductive traits of Angus cattle and correlation analysis among traits [J]. Chinese Livestock and Poultry Breeding, 2026, 22(5): 101-107.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!