1
|
Sukhija N, Malik AA, Devadasan JM, Dash A, Bidyalaxmi K, Ravi Kumar D, Kousalaya Devi M, Choudhary A, Kanaka KK, Sharma R, Tripathi SB, Niranjan SK, Sivalingam J, Verma A. Genome-wide selection signatures address trait specific candidate genes in cattle indigenous to arid regions of India. Anim Biotechnol 2024; 35:2290521. [PMID: 38088885 DOI: 10.1080/10495398.2023.2290521] [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] [Indexed: 02/22/2024]
Abstract
The peculiarity of Indian cattle lies in milk quality, resistance to diseases and stressors as well as adaptability. The investigation addressed selection signatures in Gir and Tharparkar cattle, belonging to arid ecotypes of India. Double digest restriction-site associated DNA sequencing (ddRAD-seq) yielded nearly 26 million high-quality reads from unrelated seven Gir and seven Tharparkar cows. In all, 19,127 high-quality SNPs were processed for selection signature analysis. An approach involving within-population composite likelihood ratio (CLR) statistics and between-population FST statistics was used to capture selection signatures within and between the breeds, respectively. A total of 191 selection signatures were addressed using CLR and FST approaches. Selection signatures overlapping 86 and 73 genes were detected as Gir- and Tharparkar-specific, respectively. Notably, genes related to production (CACNA1D, GHRHR), reproduction (ESR1, RBMS3), immunity (NOSTRIN, IL12B) and adaptation (ADAM22, ASL) were annotated to selection signatures. Gene pathway analysis revealed genes in insulin/IGF pathway for milk production, gonadotropin releasing hormone pathway for reproduction, Wnt signalling pathway and chemokine and cytokine signalling pathway for adaptation. This is the first study where selection signatures are identified using ddRAD-seq in indicine cattle breeds. The study shall help in conservation and leveraging genetic improvements in Gir and Tharparkar cattle.
Collapse
Affiliation(s)
- Nidhi Sukhija
- ICAR-National Dairy Research Institute, Karnal, India
| | - Anoop Anand Malik
- TERI School of Advanced Studies, Delhi, India
- The Energy and Resources Institute, North Eastern Regional Centre, Guwahati, India
| | | | | | - Kangabam Bidyalaxmi
- ICAR-National Dairy Research Institute, Karnal, India
- ICAR-National Bureau of Animal Genetic Resources, Karnal, India
| | - D Ravi Kumar
- ICAR-National Dairy Research Institute, Karnal, India
| | | | | | - K K Kanaka
- ICAR-National Dairy Research Institute, Karnal, India
- ICAR- Indian Institute of Agricultural Biotechnology, Ranchi, India
| | - Rekha Sharma
- ICAR-National Bureau of Animal Genetic Resources, Karnal, India
| | | | | | | | - Archana Verma
- ICAR-National Dairy Research Institute, Karnal, India
| |
Collapse
|
2
|
Sivalingam J, Niranjan SK, Yadav DK, Singh SP, Sukhija N, Kanaka KK, Singh PK, Singh AP. Phenotypic and genetic characterization of unexplored, potential cattle population of Madhya Pradesh. Trop Anim Health Prod 2024; 56:102. [PMID: 38478192 DOI: 10.1007/s11250-024-03946-8] [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: 06/17/2023] [Accepted: 03/01/2024] [Indexed: 03/24/2024]
Abstract
Bawri or Garri, a non-descript cattle population managed under an extensive system in Madhya Pradesh state of India, was identified and characterized both genetically and phenotypically to check whether or not it can be recognised as a breed. The cattle have white and gray colour and are medium sized with 122.5 ± 7.5 cm and 109.45 ± 0.39 cm height at withers in male and female, respectively. Double-digest restriction site associated DNA (ddRAD) sequencing was employed to identify ascertainment bias free SNPs representing the entire genome cost effectively; resulting in calling 1,156,650 high quality SNPs. Observed homozygosity was 0.76, indicating Bawri as a quite unique population. However, the inbreeding coefficient was 0.025, indicating lack of selection. SNPs found here can be used in GWAS and genetic evaluation programs. Considering the uniqueness of Bawri cattle, it can be registered as a breed for its better genetic management.
Collapse
Affiliation(s)
- Jayakumar Sivalingam
- Presently at ICAR-Directorate of Poultry Research, Hyderabad, India.
- ICAR-National Bureau of Animal Genetic Resources, Karnal, 132001, Haryana, India.
| | - S K Niranjan
- Presently at ICAR-Directorate of Poultry Research, Hyderabad, India
| | | | - S P Singh
- ICAR-National Bureau of Animal Genetic Resources, Karnal, 132001, Haryana, India
| | - Nidhi Sukhija
- Krishi Vigyan Kendra, Rajmata Vijayaraje Scindia Krishi Vishwavidyalaya, Morena, MP, India
| | - K K Kanaka
- Central Tasar Research and Training Institute, Ranchi, India
| | - P K Singh
- Presently at ICAR-Directorate of Poultry Research, Hyderabad, India
| | - Ajit Pratap Singh
- ICAR-Indian Institute of Agricultural Biotechnology, Ranchi, India
- Nanaji Deshmukh Veterinary Science University, Jabalpur, MP, India
| |
Collapse
|
3
|
Rahman JU, Kumar D, Singh SP, Shahi BN, Ghosh AK, Kumar A, Dar AH, Ahmad SF, Pathak A, Verma MK. Genetic diversity, population structure analysis and codon substitutions of Indicine Badri cattle using ddRAD sequencing. 3 Biotech 2024; 14:46. [PMID: 38261939 PMCID: PMC10798937 DOI: 10.1007/s13205-023-03894-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 12/18/2023] [Indexed: 01/25/2024] Open
Abstract
The present study was carried out on 96 animals representing three distinct colour variants of Badri cattle to investigate the genetic diversity, population structure and substitution mutations in the genetic codons due to single nucleotide variations. The DNA samples of 96 Badri cows were genotyped using a double digestion restriction associated DNA (ddRAD) sequencing approach. A standardized bioinformatics pipeline was employed to identify single nucleotide polymorphisms (SNPs), initially detecting 7,168,552 SNPs through alignment with the Bos indicus reference genome assembly. Subsequent stringent quality filtration yielded 65,483 high-confidence SNPs for downstream analysis. Genetic diversity analysis of the Badri cattle population resulted in average values of 0.145, 0.088, and 0.091 for Shannon's diversity Index (I), Simpson's Diversity (h), and Simpson's Unbiased Diversity (uh), respectively. Genetic similarities between the black and brown, black and grey, and brown and grey Badri variants were found to be 0.9972, 0.9980 and 0.9970, respectively. Tajima's D diversity value was observed to be significant and positive for 99.29% of high-confidence SNPs (65,483). STRUCTURE analysis showed admixture among the three Badri colour variants, suggesting a lack of genetic differentiation. Annotation of high-confidence SNPs regarding genetic codon changes indicated maximum substitutions in the GGC with GGT (22 occurrences), followed by AAC to AGC (20 occurrences), GAA to TAA (19 occurrences) and CAA to CAG (19 occurrences). The study concludes there are genetic similarities among colour variants, lack of rare alleles, balancing selection, sudden population contraction and genetic codon substitutions within the Badri cattle population. Insights derived from SNP data analysis hold potential significance for conservation initiatives and breed improvement programs for indicine cattle.
Collapse
Affiliation(s)
- Javid Ur Rahman
- Department of Animal Genetics and Breeding, College of Veterinary and Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand 263145 India
- Silkworm Breeding & Genetics, Centre Sericultural Research and Training Institute, Berhampore, West Bengal 742101 India
| | - Devendra Kumar
- Department of Animal Genetics and Breeding, College of Veterinary and Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand 263145 India
| | - Satya Pal Singh
- Department of Veterinary Pharmacology and Toxicology, College of Veterinary and Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand 263145 India
| | - Bijendra Narayan Shahi
- Department of Animal Genetics and Breeding, College of Veterinary and Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand 263145 India
| | - Ashis Kumar Ghosh
- Department of Animal Genetics and Breeding, College of Veterinary and Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand 263145 India
| | - Anil Kumar
- Department of Molecular Biology and Genetic Engineering, College of Basic Sciences and Humanities, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand 263145 India
| | - Aashaq Hussain Dar
- Department of Livestock Production and Management, College of Veterinary and Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand 263145 India
| | - Sheikh Firdous Ahmad
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh 243122 India
| | - Abhishek Pathak
- Department of Veterinary Pharmacology and Toxicology, College of Veterinary and Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand 263145 India
| | - Manish Kumar Verma
- Department of Veterinary Pharmacology and Toxicology, College of Veterinary and Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand 263145 India
| |
Collapse
|
4
|
Guo J, Qu L, Shao D, Wang Q, Li Y, Dou T, Wang X, Hu Y, Tong H. Genetic Architecture of Abdominal Fat Deposition Revealed by a Genome-Wide Association Study in the Laying Chicken. Genes (Basel) 2023; 15:10. [PMID: 38275592 PMCID: PMC10815693 DOI: 10.3390/genes15010010] [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: 11/21/2023] [Revised: 12/16/2023] [Accepted: 12/18/2023] [Indexed: 01/27/2024] Open
Abstract
Fat has a high energy density, and excessive fatness has been recognized as a problem for egg production and the welfare of chickens. The identification of a genetic polymorphism controlling fat deposition would be helpful to select against excessive fatness in the laying hen. This study aimed to estimate genomic heritability and identify the genetic architecture of abdominal fat deposition in a population of chickens from a Dongxiang blue-shelled local breed crossbred with the White Leghorn. A genome-wide association study was conducted on abdominal fat percentage, egg production and body weights using a sample of 1534 hens genotyped with a 600 K Chicken Genotyping Array. The analysis yielded a heritability estimate of 0.19 ± 0.04 for abdominal fat percentage; 0.56 ± 0.04 for body weight at 72 weeks; 0.11 ± 0.03 for egg production; and 0.24 ± 0.04 for body weight gain. The genetic correlation of abdominal fat percentage with egg production between 60 and 72 weeks of age was -0.35 ± 0.18. This implies a potential trade-off between these two traits related to the allocation of resources. Strong positive genetic correlations were found between fat deposition and weight traits. A promising locus close to COL12A1 on chromosome 3, associated with abdominal fat percent, was found in the present study. Another region located around HTR2A on chromosome 1, where allele substitution was predicted to be associated with body weight gain, accounted for 2.9% of phenotypic variance. Another region located on chromosome 1, but close to SOX5, was associated with egg production. These results may be used to influence the balanced genetic selection for laying hens.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - Haibing Tong
- Jiangsu Institute of Poultry Science, Yangzhou 225125, China; (J.G.)
| |
Collapse
|
5
|
Yuan S, Tian S, Meng C, Ji F, Zhou B, Rushdi HE, Ye M. The Identification of Functional Genes Affecting Fat-Related Meat Traits in Meat-Type Pigeons Using Double-Digest Restriction-Associated DNA Sequencing and Molecular Docking Analysis. Animals (Basel) 2023; 13:3256. [PMID: 37893980 PMCID: PMC10603692 DOI: 10.3390/ani13203256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 09/26/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
The Chinese indigenous Shiqi (SQ) pigeon and the imported White King (WK) pigeon are two meat-type pigeon breeds of economical and nutritional importance in China. They displayed significant differences in such meat quality traits as intramuscular fat (IMF) content and fatty acid (FA) compositions in the breast muscles. In this study, we aimed to screen candidate genes that could affect fat-related meat quality traits in meat-type pigeons. We investigated the polymorphic variations at the genomic level using double-digest restriction-associated DNA (ddRAD) sequencing in 12 squabs of SQ and WK pigeons that exhibited significant inter-breed differences in IMF content as well as FA and amino acid compositions in the breast muscles, and screened candidate genes influencing fat-related traits in squabs through gene ontology analysis and pathway analysis. By focusing on 6019 SNPs, which were located in genes with correct annotations and had the potential to induce changes in the encoded proteins, we identified 19 genes (ACAA1, ACAA2, ACACB, ACADS, ACAT1, ACOX3, ACSBG1, ACSBG2, ACSL1, ACSL4, ELOVL6, FADS1, FADS2, HACD4, HADH, HADHA, HADHB, MECR, OXSM) as candidate genes that could affect fat-related traits in squabs. They were significantly enriched in the pathways of FA metabolism, degradation, and biosynthesis (p < 0.05). Results from molecular docking analysis further revealed that three non-synonymous amino acid alterations, ACAA1(S357N), ACAA2(T234I), and ACACB(H1418N), could alter the non-bonding interactions between the enzymatic proteins and their substrates. Since ACAA1, ACAA2, and ACACB encode rate-limiting enzymes in FA synthesis and degradation, alterations in the enzyme-substrate binding affinity may subsequently affect the catalytic efficiency of enzymes. We suggested that SNPs in these three genes were worthy of further investigation into their roles in explaining the disparities in fat-related traits in squabs.
Collapse
Affiliation(s)
- Siyu Yuan
- College of Bioscience and Biotechnology, Yangzhou University, Yangzhou 225009, China; (S.Y.); (S.T.); (C.M.)
| | - Shaoqi Tian
- College of Bioscience and Biotechnology, Yangzhou University, Yangzhou 225009, China; (S.Y.); (S.T.); (C.M.)
| | - Chuang Meng
- College of Bioscience and Biotechnology, Yangzhou University, Yangzhou 225009, China; (S.Y.); (S.T.); (C.M.)
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Feng Ji
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100089, China;
| | - Bin Zhou
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
| | - Hossam E. Rushdi
- Joint International Research Laboratory of Agricultural & Agri-Product Safety, Yangzhou University, Yangzhou 225009, China
| | - Manhong Ye
- College of Bioscience and Biotechnology, Yangzhou University, Yangzhou 225009, China; (S.Y.); (S.T.); (C.M.)
- Joint International Research Laboratory of Agricultural & Agri-Product Safety, Yangzhou University, Yangzhou 225009, China
| |
Collapse
|