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Asim M, Saif-Ur Rehman M, Hassan FU, Awan FS. Genetic variants of CSN1S1, CSN2, CSN3, and BLG genes and their association with dairy production traits in Sahiwal cattle and Nili-Ravi buffaloes. Anim Biotechnol 2023; 34:2951-2962. [PMID: 36165734 DOI: 10.1080/10495398.2022.2126365] [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: 11/01/2022]
Abstract
Milk protein genes are associated with milk yield and composition in dairy animals. The present study aimed to identify milk protein genes (CSN1S1, CSN2, CSN3, and BLG) genetic variants and their association with milk yield in Sahiwal cattle and Nili-Ravi buffaloes. One hundred animals from each species were selected to collect blood samples and milk production records. Primers were designed for these milk protein genes for PCR amplification. Sequencing of resultant PCR products revealed a higher number of SNPs (13 vs. 7, 5 vs. 1, and 6 vs. 2) in Sahiwal as compared to Nili-Ravi animals in CSN1S1, CSN2, and CSN3 genes, respectively. However, a single SNP was observed in BLG gene of both species. Association analysis revealed that one SNP in BLG gene of Nili-Ravi was associated (p < 0.05) with 305-day milk yield. Two SNPs at CSN1S1 gene in Sahiwal were associated with dry-period. Similarly, one SNP at CSN1S1 and two SNPs at CSN3 gene showed significant association (p < 0.05) with average calving-interval in Sahiwal while two SNPs in CSN1S1 gene were associated (p < 0.05) with this trait in Nili-Ravi. These SNPs could be helpful as candidate variants for marker-assisted selection in cattle and buffaloes for improvement of lactation performance.
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Affiliation(s)
- Muhammad Asim
- Institute of Animal and Dairy Sciences, University of Agriculture, Faisalabad, Pakistan
| | | | - Faiz-Ul Hassan
- Institute of Animal and Dairy Sciences, University of Agriculture, Faisalabad, Pakistan
| | - Faisal Saeed Awan
- Centre of Agricultural Biochemistry and Biotechnology, University of Agriculture, Faisalabad, Pakistan
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Demographic pattern of A1/A2 beta casein variants indicates conservation of A2 type haplotype across native cattle breeds (Bos indicus) of India. 3 Biotech 2022; 12:167. [PMID: 35845115 PMCID: PMC9276908 DOI: 10.1007/s13205-022-03232-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 06/17/2022] [Indexed: 11/30/2022] Open
Abstract
Genetic variations of the beta casein gene hold importance because of their probable association with human health. Comparative sequence analysis of β-casein gene across Indian native, crossbred and exotic breeds in India revealed 15 SNPs and 4 INDELs corresponding to 14 haplotypes. The frequency of A2 type haplotype was maximum (0.941) across all Indian native breeds. Among the 15 variants reported for taurine breeds, only three (A1, A2 and B) were observed in analysed populations. Allelic profiling of A1/A2 β-casein variants in ~ 4000 animals belonging to three cattle types and breeding bulls also revealed the predominance of A2 allele (0.95) in Indian cattle. The high proportion of A2 allele/haplotype indicates that Indian native cattle are the best suited to meet the demands for A2 milk globally. However, a higher percentage of heterozygous genotype (A1A2) in breeding bulls warrants the need to screen sire lines so as to drift the herd towards A2. Supplementary Information The online version contains supplementary material available at 10.1007/s13205-022-03232-0.
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Matosinho CGR, Rosse IC, Fonseca PAS, de Oliveira FS, Dos Santos FG, Araújo FMG, de Matos Salim AC, Lopes BC, Arbex WA, Machado MA, Peixoto MGCD, da Silva Verneque R, Martins MF, da Silva MVGB, Oliveira G, Pires DEV, Carvalho MRS. Identification and in silico characterization of structural and functional impacts of genetic variants in milk protein genes in the Zebu breeds Guzerat and Gyr. Trop Anim Health Prod 2021; 53:524. [PMID: 34705124 DOI: 10.1007/s11250-021-02970-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 10/14/2021] [Indexed: 10/20/2022]
Abstract
Whole genome sequencing of bovine breeds has allowed identification of genetic variants in milk protein genes. However, functional repercussion of such variants at a molecular level has seldom been investigated. Here, the results of a multistep Bioinformatic analysis for functional characterization of recently identified genetic variants in Brazilian Gyr and Guzerat breeds is described, including predicted effects on the following: (i) evolutionary conserved nucleotide positions/regions; (ii) protein function, stability, and interactions; (iii) splicing, branching, and miRNA binding sites; (iv) promoters and transcription factor binding sites; and (v) collocation with QTL. Seventy-one genetic variants were identified in the caseins (CSN1S1, CSN2, CSN1S2, and CSN3), LALBA, LGB, and LTF genes. Eleven potentially regulatory variants and two missense mutations were identified. LALBA Ile60Val was predicted to affect protein stability and flexibility, by reducing the number the disulfide bonds established. LTF Thr546Asn is predicted to generate steric clashes, which could mildly affect iron coordination. In addition, LALBA Ile60Val and LTF Thr546Asn affect exonic splicing enhancers and silencers. Consequently, both mutations have the potential of affecting immune response at individual level, not only in the mammary gland. Although laborious, this multistep procedure for classifying variants allowed the identification of potentially functional variants for milk protein genes.
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Affiliation(s)
- Carolina Guimarães Ramos Matosinho
- Programa de Pós-Graduação Em GenéticaDepartamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, 31901-207, Brazil
| | - Izinara Cruz Rosse
- Programa de Pós-Graduação Em GenéticaDepartamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, 31901-207, Brazil
- Departamento de Farmácia, Escola de Farmácia, Universidade Federal de Ouro Preto, Ouro Preto, MG, 35400-000, Brazil
| | - Pablo Augusto Souza Fonseca
- Programa de Pós-Graduação Em GenéticaDepartamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, 31901-207, Brazil.
- Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, N1G2W1, Canada.
| | - Francislon Silva de Oliveira
- Programa de Pós-Graduação Em GenéticaDepartamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, 31901-207, Brazil
- Grupo de Genômica E Biologia Computacional, Centro de Pesquisas René Rachou - Fiocruz Minas, Belo Horizonte, MG, 30190-00, Brazil
| | - Fausto Gonçalves Dos Santos
- Grupo de Genômica E Biologia Computacional, Centro de Pesquisas René Rachou - Fiocruz Minas, Belo Horizonte, MG, 30190-00, Brazil
| | - Flávio Marcos Gomes Araújo
- Grupo de Genômica E Biologia Computacional, Centro de Pesquisas René Rachou - Fiocruz Minas, Belo Horizonte, MG, 30190-00, Brazil
| | - Anna Christina de Matos Salim
- Grupo de Genômica E Biologia Computacional, Centro de Pesquisas René Rachou - Fiocruz Minas, Belo Horizonte, MG, 30190-00, Brazil
| | | | | | | | | | - Rui da Silva Verneque
- EPAMIG, Belo Horizonte, MG, 31170-495, Brazil
- Embrapa Gado de Leite, Juiz de Fora, MG, 36038-330, Brazil
| | | | | | - Guilherme Oliveira
- Grupo de Genômica E Biologia Computacional, Centro de Pesquisas René Rachou - Fiocruz Minas, Belo Horizonte, MG, 30190-00, Brazil
- Instituto Tecnológico Vale, Belém, PA, 66055-09, Brazil
| | - Douglas Eduardo Valente Pires
- School of Computing and Information Systems, University of Melbourne, Parkville, VIC, 3052, Australia
- Bio21 Institute, University of Melbourne, Parkville, VIC, 3052, Australia
| | - Maria Raquel Santos Carvalho
- Programa de Pós-Graduação Em GenéticaDepartamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, 31901-207, Brazil
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Lee S, Kelleher SL. Biological underpinnings of breastfeeding challenges: the role of genetics, diet, and environment on lactation physiology. Am J Physiol Endocrinol Metab 2016; 311:E405-22. [PMID: 27354238 PMCID: PMC5005964 DOI: 10.1152/ajpendo.00495.2015] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Accepted: 06/22/2016] [Indexed: 02/06/2023]
Abstract
Lactation is a dynamic process that has evolved to produce a complex biological fluid that provides nutritive and nonnutritive factors to the nursing offspring. It has long been assumed that once lactation is successfully initiated, the primary factor regulating milk production is infant demand. Thus, most interventions have focused on improving breastfeeding education and early lactation support. However, in addition to infant demand, increasing evidence from studies conducted in experimental animal models, production animals, and breastfeeding women suggests that a diverse array of maternal factors may also affect milk production and composition. In this review, we provide an overview of our current understanding of the role of maternal genetics and modifiable factors, such as diet and environmental exposures, on reproductive endocrinology, lactation physiology, and the ability to successfully produce milk. To identify factors that may affect lactation in women, we highlight some information gleaned from studies in experimental animal models and production animals. Finally, we highlight the gaps in current knowledge and provide commentary on future research opportunities aimed at improving lactation outcomes in breastfeeding women to improve the health of mothers and their infants.
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Affiliation(s)
- Sooyeon Lee
- Departments of Cellular and Molecular Physiology
| | - Shannon L Kelleher
- Departments of Cellular and Molecular Physiology, Pharmacology, and Surgery, Pennsylvania State Hershey College of Medicine, Hershey, Pennsylvania; and Department of Nutritional Sciences, The Pennsylvania State University, University Park, Pennsylvania
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