1
|
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.
Collapse
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
| |
Collapse
|
2
|
Tiwari M, Gujar G, Shashank CG, Ponsuksili S. Selection signatures for high altitude adaptation in livestock: A review. Gene 2024; 927:148757. [PMID: 38986751 DOI: 10.1016/j.gene.2024.148757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 07/01/2024] [Accepted: 07/05/2024] [Indexed: 07/12/2024]
Abstract
High altitude adapted livestock species (cattle, yak, goat, sheep, and horse) has critical role in the human socioeconomic sphere and acts as good source of animal source products including milk, meat, and leather, among other things. These species sustain production and reproduction even in harsh environments on account of adaptation resulting from continued evolution of beneficial traits. Selection pressure leads to various adaptive strategies in livestock whose footprints are evident at the different genomic sites as the "Selection Signature". Scrutiny of these signatures provides us crucial insight into the evolutionary process and domestication of livestock adapted to diverse climatic conditions. These signatures have the potential to change the sphere of animal breeding and further usher the selection programmes in right direction. Technological revolution and recent strides made in genomic studies has opened the routes for the identification of selection signatures. Numerous statistical approaches and bioinformatics tools have been developed to detect the selection signature. Consequently, studies across years have identified candidate genes under selection region found associated with numerous traits which have a say in adaptation to high-altitude environment. This makes it pertinent to have a better understanding about the selection signature, the ways to identify and how to utilize them for betterment of livestock populations as well as farmers. This review takes a closer look into the general concept, various methodologies, and bioinformatics tools commonly employed in selection signature studies and summarize the results of recent selection signature studies related to high-altitude adaptation in various livestock species. This review will serve as an informative and useful insight for researchers and students in the field of animal breeding and evolutionary biology.
Collapse
Affiliation(s)
- Manish Tiwari
- ICAR-National Dairy Research Institute, Karnal, India; U.P. Pt. Deen Dayal Upadhyaya Veterinary Science University and Cattle Research Institute, Mathura, India.
| | | | - C G Shashank
- ICAR-National Dairy Research Institute, Karnal, India
| | | |
Collapse
|
3
|
Lu X, Suo L, Yan X, Li W, Su Y, Zhou B, Liu C, Yang L, Wang J, Ji D, Cuomu R, Cuoji A, Gui B, Wang Z, Jiang W, Wu Y, Su R. Genome-wide association analysis of fleece traits in Northwest Xizang white cashmere goat. Front Vet Sci 2024; 11:1409084. [PMID: 38872797 PMCID: PMC11171727 DOI: 10.3389/fvets.2024.1409084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 05/07/2024] [Indexed: 06/15/2024] Open
Abstract
Northwest Xizang White Cashmere Goat (NXWCG) is the first new breed of cashmere goat in the Xizang Autonomous Region. It has significant characteristics of extremely high fineness, gloss, and softness. Genome-wide association analysis is an effective biological method used to measure the consistency and correlation of genotype changes between two molecular markers in the genome. In addition, it can screen out the key genes affecting the complex traits of biological individuals. The aim of this study was to analyze the genetic mechanism of cashmere trait variation in NXWCG and to discover SNP locus and key genes closely related to traits such as superfine cashmere. Additionally, the key genes near the obtained significant SNPs were analyzed by gene function annotation and biological function mining. In this study, the phenotype data of the four traits (cashmere length, fiber length, cashmere diameter, and cashmere production) were collected. GGP_Goat_70K SNP chip was used for genotyping the ear tissue DNA of the experimental group. Subsequently, the association of phenotype data and genotype data was performed using Gemma-0.98.1 software. A linear mixed model was used for the association study. The results showed that four fleece traits were associated with 18 significant SNPs at the genome level and 232 SNPs at the chromosome level, through gene annotated from Capra hircus genome using assembly ARS1. A total of 107 candidate genes related to fleece traits were obtained. Combined with Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis, we can find that CLNS1A, CCSER1, RPS6KC1, PRLR, KCNRG, KCNK9, and CLYBL can be used as important candidate genes for fleece traits of NXWCG. We used Sanger sequencing and suitability chi-square test to further verify the significant loci and candidate genes screened by GWAS, and the results show that the base mutations loci on the five candidate genes, CCSER1 (snp12579, 34,449,796, A → G), RPS6KC1 (snp41503, 69,173,527, A → G), KCNRG (snp41082, 67,134,820, G → A), KCNK9 (14:78472665, 78,472,665, G → A), and CLYBL (12: 9705753, 9,705,753, C → T), significantly affect the fleece traits of NXWCG. The results provide a valuable basis for future research and contribute to a better understanding of the genetic structure variation of the goat.
Collapse
Affiliation(s)
- Xiaotian Lu
- Institute of Animal Science, Xizang Academy of Agricultural and Animal Husbandry Science, Lhasa, China
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Langda Suo
- Institute of Animal Science, Xizang Academy of Agricultural and Animal Husbandry Science, Lhasa, China
- Sino-Arabian Joint Laboratory of Sheep and Goat Germplasm Innovation, Hohhot, China
| | - Xiaochun Yan
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Wenze Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Yixin Su
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Bohan Zhou
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Can Liu
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Lepu Yang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Jiayin Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - De Ji
- Institute of Animal Science, Xizang Academy of Agricultural and Animal Husbandry Science, Lhasa, China
- Key Laboratory of Animal Genetics and Breeding on Xizang Plateau, Ministry of Agriculture and Rural Affairs, Lhasa, China
| | - Renqing Cuomu
- Institute of Animal Science, Xizang Academy of Agricultural and Animal Husbandry Science, Lhasa, China
- Key Laboratory of Animal Genetics and Breeding on Xizang Plateau, Ministry of Agriculture and Rural Affairs, Lhasa, China
| | - Awang Cuoji
- Institute of Animal Science, Xizang Academy of Agricultural and Animal Husbandry Science, Lhasa, China
- Key Laboratory of Animal Genetics and Breeding on Xizang Plateau, Ministry of Agriculture and Rural Affairs, Lhasa, China
| | - Ba Gui
- Institute of Animal Science, Xizang Academy of Agricultural and Animal Husbandry Science, Lhasa, China
- Key Laboratory of Animal Genetics and Breeding on Xizang Plateau, Ministry of Agriculture and Rural Affairs, Lhasa, China
| | - Zhiying Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Wei Jiang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Yujiang Wu
- Institute of Animal Science, Xizang Academy of Agricultural and Animal Husbandry Science, Lhasa, China
- Key Laboratory of Animal Genetics and Breeding on Xizang Plateau, Ministry of Agriculture and Rural Affairs, Lhasa, China
| | - Rui Su
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| |
Collapse
|
4
|
Guo J, Guo H, Chen C, Yu F, Liu B, Zhang N, Xian L, Luo Z, Liu W, Zhu K, Zhang D. Functional Characterization of the Almstn2 Gene and Its Association with Growth Traits in the Yellowfin Seabream Acanthopagrus latus (Hottuyn, 1782). Genes (Basel) 2023; 14:2142. [PMID: 38136962 PMCID: PMC10742913 DOI: 10.3390/genes14122142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 11/18/2023] [Accepted: 11/21/2023] [Indexed: 12/24/2023] Open
Abstract
Myostatin (mstn), also known as GDF8, is a growth and differentiation factor of the transforming growth factor-β (TGF-β) superfamily and plays a key inhibitory effect in the regulation of skeletal muscle development and growth in vertebrates. In the present study, to comprehend the role of the mstn2 gene of the yellowfin seabream Acanthopagrus latus (Almstn2b), the genomic sequence of Almstn2b is 2359 bp, which encodes 360 amino acids and is composed of three exons and two introns, was obtained. Two typical regions, a TGF-β propeptide and TGF-β domain, constitute Almstn2b. The topology indicated that Almstn2 was grouped together with other Perciformes, such as the gilthead seabream Sparus aurata. Moreover, Almstn2b was mainly expressed in the brain, fins, and spleen. Furthermore, five SNPs, one in the exons and four in the introns, were identified in the Almstn2b gene. The allele and genotype frequencies of SNP-Almstn2b +1885 A/G were significantly related to the total weight, interorbital distance, stem length, tail length, caudal length, caudal height, body length, and total length (p < 0.05). The allele and genotype frequencies of SNP-Almstn2b +1888 A/G were significantly related to the weight, interorbital distance, long head behind the eyes, body height, tail length, caudal length, and body length. Additionally, the relationship between the SNP-Almstn2b +1915 A/G locus and weight and long head behind the eyes was significant (p < 0.05). Furthermore, the other two SNPs were not significantly associated with any traits. Thus, the SNPs identified in this study could be utilized as candidate SNPs for breeding and marker-assisted selection in A. latus.
Collapse
Affiliation(s)
- Jianyi Guo
- Modern Agricultural Development Center of Zhuhai City, Zhuhai 519000, China; (J.G.); (C.C.); (F.Y.); (Z.L.); (W.L.)
| | - Huayang Guo
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 231 Xingang Road West, Guangzhou 510300, China; (H.G.); (B.L.); (N.Z.); (L.X.)
- Guangdong Provincial Engineer Technology Research Center of Marine Biological Seed Industry, Guangzhou 510300, China
- Sanya Tropical Fisheries Research Institute, Sanya 572018, China
| | - Chuanghua Chen
- Modern Agricultural Development Center of Zhuhai City, Zhuhai 519000, China; (J.G.); (C.C.); (F.Y.); (Z.L.); (W.L.)
| | - Fangzhao Yu
- Modern Agricultural Development Center of Zhuhai City, Zhuhai 519000, China; (J.G.); (C.C.); (F.Y.); (Z.L.); (W.L.)
| | - Baosuo Liu
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 231 Xingang Road West, Guangzhou 510300, China; (H.G.); (B.L.); (N.Z.); (L.X.)
- Guangdong Provincial Engineer Technology Research Center of Marine Biological Seed Industry, Guangzhou 510300, China
- Sanya Tropical Fisheries Research Institute, Sanya 572018, China
| | - Nan Zhang
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 231 Xingang Road West, Guangzhou 510300, China; (H.G.); (B.L.); (N.Z.); (L.X.)
- Guangdong Provincial Engineer Technology Research Center of Marine Biological Seed Industry, Guangzhou 510300, China
- Sanya Tropical Fisheries Research Institute, Sanya 572018, China
| | - Lin Xian
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 231 Xingang Road West, Guangzhou 510300, China; (H.G.); (B.L.); (N.Z.); (L.X.)
- Guangdong Provincial Engineer Technology Research Center of Marine Biological Seed Industry, Guangzhou 510300, China
- Sanya Tropical Fisheries Research Institute, Sanya 572018, China
| | - Zhiping Luo
- Modern Agricultural Development Center of Zhuhai City, Zhuhai 519000, China; (J.G.); (C.C.); (F.Y.); (Z.L.); (W.L.)
| | - Wen Liu
- Modern Agricultural Development Center of Zhuhai City, Zhuhai 519000, China; (J.G.); (C.C.); (F.Y.); (Z.L.); (W.L.)
| | - Kecheng Zhu
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 231 Xingang Road West, Guangzhou 510300, China; (H.G.); (B.L.); (N.Z.); (L.X.)
| | - Dianchang Zhang
- Guangdong Provincial Engineer Technology Research Center of Marine Biological Seed Industry, Guangzhou 510300, China
- Sanya Tropical Fisheries Research Institute, Sanya 572018, China
| |
Collapse
|
5
|
Igoshin AV, Yudin NS, Romashov GA, Larkin DM. A Multibreed Genome-Wide Association Study for Cattle Leukocyte Telomere Length. Genes (Basel) 2023; 14:1596. [PMID: 37628647 PMCID: PMC10454124 DOI: 10.3390/genes14081596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 07/26/2023] [Accepted: 08/02/2023] [Indexed: 08/27/2023] Open
Abstract
Telomeres are terminal DNA regions of chromosomes that prevent chromosomal fusion and degradation during cell division. In cattle, leukocyte telomere length (LTL) is associated with longevity, productive lifespan, and disease susceptibility. However, the genetic basis of LTL in this species is less studied than in humans. In this study, we utilized the whole-genome resequencing data of 239 animals from 17 cattle breeds for computational leukocyte telomere length estimation and subsequent genome-wide association study of LTL. As a result, we identified 42 significant SNPs, of which eight were found in seven genes (EXOC6B, PTPRD, RPS6KC1, NSL1, AGBL1, ENSBTAG00000052188, and GPC1) when using covariates for two major breed groups (Turano-Mongolian and European). Association analysis with covariates for breed effect detected 63 SNPs, including 13 in five genes (EXOC6B, PTPRD, RPS6KC1, ENSBTAG00000040318, and NELL1). The PTPRD gene, demonstrating the top signal in analysis with breed effect, was previously associated with leukocyte telomere length in cattle and likely is involved in the mechanism of alternative lengthening of telomeres. The single nucleotide variants found could be tested for marker-assisted selection to improve telomere-length-associated traits.
Collapse
Affiliation(s)
- Alexander V. Igoshin
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), 630090 Novosibirsk, Russia
| | - Nikolay S. Yudin
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), 630090 Novosibirsk, Russia
| | - Grigorii A. Romashov
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), 630090 Novosibirsk, Russia
| | - Denis M. Larkin
- Royal Veterinary College, University of London, London NW1 0TU, UK
| |
Collapse
|