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Singh A, Kumar A, Thakur MS, Khare V, Jain A, Tiwari SP. Genetic analysis of milk minerals in dairy cattle: a review. J Appl Genet 2024; 65:375-381. [PMID: 38286942 DOI: 10.1007/s13353-024-00832-9] [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: 12/30/2022] [Revised: 12/22/2023] [Accepted: 01/19/2024] [Indexed: 01/31/2024]
Abstract
Mineral composition in milk can affect its nutritional as well as physio-chemical properties of milk and is considered an important trait in the evaluation of milk quality. The composition and concentration of milk minerals could be altered with natural source of variation including nutrition and genetics. The effect of diet on milk minerals is well studied. However, genetic effects on the milk minerals have recently gained the attention. This review provides an overview of the genetic variation of milk minerals, and the genomic regions associated with mineral concentration in the milk are also discussed. The difference of milk minerals between breeds and the genetic parameters including heritability estimates and correlation among minerals indicates that milk minerals are under strong genetic control. Recently, the genome-wide association study (GWAS) has explored several regions associated with milk minerals and thus provides a new genetic source for improving the milk quality through genomics-assisted breeding. Hence, a combination of the qualitative and molecular approaches can be exploited to improving the nutritional quality of cattle milk in terms of its mineral composition.
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Affiliation(s)
- Akansha Singh
- College of Veterinary Science and Animal Husbandry, NDVSU, Jabalpur, 482001, M.P, India.
| | - Amit Kumar
- ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, U.P., India
| | - Mohan Singh Thakur
- College of Veterinary Science and Animal Husbandry, NDVSU, Jabalpur, 482001, M.P, India
| | - Vaishali Khare
- College of Veterinary Science and Animal Husbandry, NDVSU, Jabalpur, 482001, M.P, India
| | - Asit Jain
- College of Veterinary Science and Animal Husbandry, NDVSU, Jabalpur, 482001, M.P, India
| | - Sita Prasad Tiwari
- Nanaji Deshmukh Veterinary Science University, Jabalpur, 482004, M.P., India
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Velayudhan SM, Yin T, Alam S, Brügemann K, Sejian V, Bhatta R, Schlecht E, König S. Unraveling the Genomic Association for Milk Production Traits and Signatures of Selection of Cattle in a Harsh Tropical Environment. BIOLOGY 2023; 12:1483. [PMID: 38132309 PMCID: PMC10740459 DOI: 10.3390/biology12121483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 11/15/2023] [Accepted: 11/29/2023] [Indexed: 12/23/2023]
Abstract
A study was designed to identify the genomic regions associated with milk production traits in a dairy cattle population reared by smallholder farmers in the harsh and challenging tropical savanna climate of Bengaluru, India. This study is a first-of-its-kind attempt to identify the selection sweeps for the dairy cattle breeds reared in such an environment. Two hundred forty lactating dairy cows reared by 68 farmers across the rural-urban transiting regions of Bengaluru were selected for this study. A genome-wide association study (GWAS) was performed to identify candidate genes for test-day milk yield, solids-not-fat (SNF), milk lactose, milk density and clinical mastitis. Furthermore, the cross-population extended haplotype homozygosity (XP-EHH) methodology was adopted to scan the dairy cattle breeds (Holstein Friesian, Jersey and Crossbred) in Bengaluru. Two SNPs, rs109340659 and rs41571523, were observed to be significantly associated with test-day milk yield. No significant SNPs were observed for the remaining production traits. The GWAS for milk lactose revealed one SNP (rs41634101) that was very close to the threshold limit, though not significant. The potential candidate genes fibrosin-like 1 (FBRSL) and calcium voltage-gated channel auxiliary subunit gamma 3 (CACN) were identified to be in close proximity to the SNP identified for test-day milk yield. These genes were observed to be associated with milk production traits based on previous reports. Furthermore, the selection signature analysis revealed a number of regions under selection for the breed-group comparisons (Crossbred-HF, Crossbred-J and HF-J). Functional analysis of these annotated genes under selection indicated pathways and mechanisms involving ubiquitination, cell signaling and immune response. These findings point towards the probable selection of dairy cows in Bengaluru for thermotolerance.
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Affiliation(s)
| | - Tong Yin
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Ludwigstraße 21 b, 35390 Gießen, Germany; (S.M.V.); (T.Y.)
| | - Shahin Alam
- Animal Husbandry in the Tropics and Subtropics, University of Kassel and Georg-August-Universität Göttingen, Steinstr. 19, 37213 Witzenhausen, Germany; (S.A.)
| | - Kerstin Brügemann
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Ludwigstraße 21 b, 35390 Gießen, Germany; (S.M.V.); (T.Y.)
| | - Veerasamy Sejian
- National Institute of Animal Nutrition and Physiology (NIANP), Hosur Rd, Chennakeshava Nagar, Adugodi, Bengaluru 560030, India
| | - Raghavendra Bhatta
- National Institute of Animal Nutrition and Physiology (NIANP), Hosur Rd, Chennakeshava Nagar, Adugodi, Bengaluru 560030, India
| | - Eva Schlecht
- Animal Husbandry in the Tropics and Subtropics, University of Kassel and Georg-August-Universität Göttingen, Steinstr. 19, 37213 Witzenhausen, Germany; (S.A.)
| | - Sven König
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Ludwigstraße 21 b, 35390 Gießen, Germany; (S.M.V.); (T.Y.)
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Mo J, Lu Y, Zhu S, Feng L, Qi W, Chen X, Xie B, Chen B, Lan G, Liang J. Genome-Wide Association Studies, Runs of Homozygosity Analysis, and Copy Number Variation Detection to Identify Reproduction-Related Genes in Bama Xiang Pigs. Front Vet Sci 2022; 9:892815. [PMID: 35711794 PMCID: PMC9195146 DOI: 10.3389/fvets.2022.892815] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
Litter size and teat number are economically important traits in the porcine industry. However, the genetic mechanisms influencing these traits remain unknown. In this study, we analyzed the genetic basis of litter size and teat number in Bama Xiang pigs and evaluated the genomic inbreeding coefficients of this breed. We conducted a genome-wide association study to identify runs of homozygosity (ROH), and copy number variation (CNV) using the novel Illumina PorcineSNP50 BeadChip array in Bama Xiang pigs and annotated the related genes in significant single nucleotide polymorphisms and common copy number variation region (CCNVR). We calculated the ROH-based genomic inbreeding coefficients (FROH) and the Spearman coefficient between FROH and reproduction traits. We completed a mixed linear model association analysis to identify the effect of high-frequency copy number variation (HCNVR; over 5%) on Bama Xiang pig reproductive traits using TASSEL software. Across eight chromosomes, we identified 29 significant single nucleotide polymorphisms, and 12 genes were considered important candidates for litter-size traits based on their vital roles in sperm structure, spermatogenesis, sperm function, ovarian or follicular function, and male/female infertility. We identified 9,322 ROHs; the litter-size traits had a significant negative correlation to FROH. A total of 3,317 CNVs, 24 CCNVR, and 50 HCNVR were identified using cnvPartition and PennCNV. Eleven genes related to reproduction were identified in CCNVRs, including seven genes related to the testis and sperm function in CCNVR1 (chr1 from 311585283 to 315307620). Two candidate genes (NEURL1 and SH3PXD2A) related to reproduction traits were identified in HCNVR34. The result suggests that these genes may improve the litter size of Bama Xiang by marker-assisted selection. However, attention should be paid to deter inbreeding in Bama Xiang pigs to conserve their genetic diversity.
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Affiliation(s)
- Jiayuan Mo
- College of Animal Science & Technology, Guangxi University, Nanning, China
| | - Yujie Lu
- College of Animal Science & Technology, Guangxi University, Nanning, China
| | - Siran Zhu
- College of Animal Science & Technology, Guangxi University, Nanning, China
| | - Lingli Feng
- College of Animal Science & Technology, Guangxi University, Nanning, China
| | - Wenjing Qi
- College of Animal Science & Technology, Guangxi University, Nanning, China
| | - Xingfa Chen
- College of Animal Science & Technology, Guangxi University, Nanning, China
| | - Bingkun Xie
- College of Animal Science & Technology, Guangxi University, Nanning, China
- Guangxi Key Laboratory of Livestock Genetic Improvement, Guangxi Institute of Animal Science, Nanning, China
| | - Baojian Chen
- Guangxi Key Laboratory of Livestock Genetic Improvement, Guangxi Institute of Animal Science, Nanning, China
| | - Ganqiu Lan
- College of Animal Science & Technology, Guangxi University, Nanning, China
| | - Jing Liang
- College of Animal Science & Technology, Guangxi University, Nanning, China
- *Correspondence: Jing Liang
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