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Li C, Wang X, Li H, Ahmed Z, Luo Y, Qin M, Yang Q, Long Z, Lei C, Yi K. Whole-genome resequencing reveals diversity and selective signals in the Wuxue goat. Anim Genet 2024; 55:575-587. [PMID: 38806279 DOI: 10.1111/age.13437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 04/14/2024] [Accepted: 04/17/2024] [Indexed: 05/30/2024]
Abstract
Animal genetic resources are crucial for ensuring global food security. However, in recent years, a noticeable decline in the genetic diversity of livestock has occurred worldwide. This decline is pronounced in developing countries, where the management of these resources is insufficient. In the current study, we performed whole genome sequencing for 20 Wuxue (WX) and five Guizhou White (GW) goats. Additionally, we utilized the published genomes of 131 samples representing five different goat breeds from various regions in China. We investigated and compared the genetic diversity and selection signatures of WX goats. Whole genome sequencing analysis of the WX and GW populations yielded 120 425 063 SNPs, which resided primarily in intergenic and intron regions. Population genetic structure revealed that WX exhibited genetic resemblance to GW, Chengdu Brown, and Jintang Black and significant differentiation from the other goat breeds. In addition, three methods (nucleotide diversity, linkage disequilibrium decay, and runs of homozygosity) showed moderate genetic diversity in WX goats. We used nucleotide diversity and composite likelihood ratio methods to identify within-breed signatures of positive selection in WX goats. A total of 369 genes were identified using both detection methods, including genes related to reproduction (GRID2, ZNF276, TCF25, and SPIRE2), growth (HMGA2 and GJA3), and immunity (IRF3 and SRSF3). Overall, this study explored the adaptability of WX goats, shedding light on their genetic richness and potential to thrive in challenges posed by climatic changes and diseases. Further investigations are warranted to harness these insights to enhance more efficient and sustainable goat breeding initiatives.
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Affiliation(s)
- Chuanqing Li
- Hunan Institute of Animal and Veterinary Science, Changsha, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xianglin Wang
- Animal Husbandry and Aquatic Products Affairs Center of Xiangxi Autonomous Prefecture, Jishou, China
| | - Haobang Li
- Hunan Institute of Animal and Veterinary Science, Changsha, China
| | - Zulfiqar Ahmed
- Faculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Rawalakot, Pakistan
| | - Yang Luo
- Hunan Institute of Animal and Veterinary Science, Changsha, China
| | - Mao Qin
- Animal Husbandry and Aquatic Products Affairs Center of Xiangxi Autonomous Prefecture, Jishou, China
| | - Qiong Yang
- Animal Husbandry and Aquatic Products Affairs Center of Xiangxi Autonomous Prefecture, Jishou, China
| | - Zhangcheng Long
- Animal Husbandry and Aquatic Products Affairs Center of Xiangxi Autonomous Prefecture, Jishou, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Kangle Yi
- Hunan Institute of Animal and Veterinary Science, Changsha, China
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Taheri S, Saedi N, Zerehdaran S, Javadmanesh A. Identification of selection signatures in Capra hircus and Capra aegagrus in Iran. Anim Sci J 2023; 94:e13864. [PMID: 37560768 DOI: 10.1111/asj.13864] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 04/09/2023] [Accepted: 05/17/2023] [Indexed: 08/11/2023]
Abstract
Identification of selection signatures may provide a better understanding of domestication process and candidate genes contributing to this process. In this study, two populations of domestic and wild goats from Iran were analyzed to identify selection signatures. RSB, iHS, and XP-EHH statistics were used in order to identify robust selection signatures in the goat genome. Genotype data of domestic and wild goats from the NextGen project was used. The data was related to 18 Capra aegagrus (wild goat) and 20 Capra hircus (domestic goat) from Iran. The iHS method indicated 675 and 441 selection signatures in C. aegagrus and C. hircus, respectively. RSB and XP-EHH methods showed about 370 and 447 selection signatures in C. aegagrus and C. hircus, respectively. These selection signatures were mainly associated with milk production, fleece trait, mammary epithelial cells, reproduction, and immune system.
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Affiliation(s)
- Sadegh Taheri
- Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Naghmeh Saedi
- Centre for Quantitative Genetics and Genomics, Aarhus University, Tjele, Denmark
| | - Saeed Zerehdaran
- Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Ali Javadmanesh
- Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
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Genetic Diversity and Selection Signatures in Jianchang Black Goats Revealed by Whole-Genome Sequencing Data. Animals (Basel) 2022; 12:ani12182365. [PMID: 36139225 PMCID: PMC9495118 DOI: 10.3390/ani12182365] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/28/2022] [Accepted: 09/07/2022] [Indexed: 11/17/2022] Open
Abstract
Understanding the genetic composition of indigenous goats is essential to promote the scientific conservation and sustainable utilization of these breeds. The Jianchang Black (JC) goat, a Chinese native breed, is solid black and exhibits crude feed tolerance, but is characterized by a low growth rate and small body size. Based on the whole-genome sequencing data for 30 JC, 41 Jintang Black (JT), and 40 Yunshang Black (YS) goats, and 21 Bezoar ibexes, here, we investigated the genetic composition of JC goats by conducting analyses of the population structure, runs of homozygosity (ROH), genomic inbreeding, and selection signature. Our results revealed that JT and YS showed a close genetic relationship with a non-negligible amount of gene flows but were genetically distant from JC, apart from Bezoars. An average of 2039 ROHs were present in the autosomal genome per individual. The ROH-based inbreeding estimates in JC goats generally showed moderate values ranging from 0.134 to 0.264, mainly due to rapid declines in the effective population size during recent generations. The annotated genes (e.g., IL2, IL7, and KIT) overlapping with ROH islands were significantly enriched in immune-related biological processes. Further, we found 61 genes (e.g., STIM1, MYO9A, and KHDRBS2) under positive selection in JC goats via three complementary approaches, which may underly genetic adaptations to local environmental conditions. Our findings provided references for the conservation and sustainable utilization of JC goats.
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Weng Z, Xu Y, Zhong M, Li W, Chen J, Zhong F, Du B, Zhang B, Huang X. Runs of homozygosity analysis reveals population characteristics of yellow-feathered chickens using re-sequencing data. Br Poult Sci 2021; 63:307-315. [PMID: 34747677 DOI: 10.1080/00071668.2021.2003752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
1. To evaluate the inbreeding of yellow-feathered chickens (YFCs) and identify genes related to their unique characteristics, whole-genome re-sequencing data were applied to detect runs of homozygosity (ROH) in the genomes of ten YFC breeds. The number, length, distribution of ROH, and inbreeding coefficient in different YFC populations were calculated. Genomic regions with high frequency in ROH were annotated.2. In total, 25,547 ROH with an average length of 335 kb were detected, with most being <1 Mb. The domination of short ROH reflected the long breeding history of this chicken. The number, length, frequency, and distribution of ROH varied among chicken populations, and high genetic diversity was maintained.3. Numerous genes related to YFC characteristics were identified in the high-frequency ROH regions. Among these, IFNA, IFNB, IL11RA, IL22RA1, IFNLR1, and TRIF genes were involved in disease resistance. The AMY, G6PC, SDHB, GCNT4, and ACO genes were associated with energy material metabolism; and FABPL, AQP7, ACAA2, and RYR2 were related to meat quality and flavour. The KITLG, CREB3, RYR2, and LGR4 genes, related to pigmentation, were detected.4. This ROH-based inbreeding evaluation laid the foundation for breeding and conservation of YFC populations, and the candidate genes identified can be used for marker-assisted selection.
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Affiliation(s)
- Zhuoxian Weng
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Yongjie Xu
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Ming Zhong
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Weina Li
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Jiebo Chen
- Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Fusheng Zhong
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Bingwang Du
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Bin Zhang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Xunhe Huang
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
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