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Abeygunawardana DI, Ranasinghe RMSBK, De Silva SNT, Deshapriya RMC, Gamika PA, Rajapakse J. Effect of LHCGR and FSHR gene polymorphisms on fertility traits and milk yield of cross-bred dairy cows in Sri Lanka. Anim Biotechnol 2023; 34:1719-1726. [PMID: 35297729 DOI: 10.1080/10495398.2022.2044346] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Single nucleotide polymorphism (SNP) analysis of fertility genes will be useful in improving the genetic potential of dairy cows. A population of 142 cross-bred dairy cows was screened for SNPs in bovine luteinizing hormone choriogonadotropin receptor (LHCGR) and bovine follicle stimulating hormone receptor (FSHR) genes. The effect of reported SNPs on selected fertility traits (average calving interval, average number of services per conception and age at first calving) and milk yield was determined. Altogether six SNPs were detected in animals screened under the present study. Among them, four SNPs (rs41256848, rs41256850, rs465790244, and rs45463781) were located in the exon 11 region of the LHCGR gene and two SNPs (rs43676359 and G-278-A (GU253337) were located in the five upstream region of the FSHR gene. Minor alleles identified for SNPs in the FSHR gene in the studied small population of cows differed from those reported in other research. In this study, only rs45463781 SNP at exon 11 of the LHCGR gene significantly affected the average milk yield in cross-bred cows. The nucleotide change from "G" to "A" negatively affected the average milk yield. Further investigations are needed to confirm the reported association with a larger sample size.
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Affiliation(s)
- Dameesha Indeewari Abeygunawardana
- Department of Livestock and Avian Sciences, Faculty of Livestock, Fisheries and Nutrition, Wayamba University of Sri Lanka, Makandura, Gonawila (NWP), Sri Lanka
| | | | | | | | - Prathapasinghe Arachchige Gamika
- Department of Livestock and Avian Sciences, Faculty of Livestock, Fisheries and Nutrition, Wayamba University of Sri Lanka, Makandura, Gonawila (NWP), Sri Lanka
| | - Jayanthe Rajapakse
- Department of Veterinary Pathobiology, Faculty of Veterinary Medicine and Animal Science, University of Peradeniya, Peradeniya, Sri Lanka
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Lett BM, Kirkpatrick BW. Identifying genetic variants and pathways influencing daughter averages for twinning in North American Holstein cattle and evaluating the potential for genomic selection. J Dairy Sci 2022; 105:5972-5984. [PMID: 35525609 DOI: 10.3168/jds.2021-21238] [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: 09/02/2021] [Accepted: 03/04/2022] [Indexed: 11/19/2022]
Abstract
Multiple birth in dairy cattle is a detrimental trait both economically for producers and for animal health. Genetics of twinning is complex and has led to several quantitative trait loci regions being associated with increased twinning. To identify variants associated with this trait, calving records from 2 time periods were used to estimate daughter averages for twinning for Holstein bulls. Multiple analyses were conducted and compared including GWAS, genomic prediction, and gene set enrichment analysis for pathway detection. Although pathway analysis did not yield many congruent pathways of interest between data sets, it did indicate two of interest. Both pathways have ties to the strong candidate region on BTA11 from the genome-wide association analysis across data sets. This region does not overlap with previously identified quantitative trait loci regions for twinning or ovulation rate in cattle. The strongest associated SNPs were upstream from 2 candidate genes LHCGR and FSHR, which are involved in folliculogenesis. Genomic prediction showed a moderate correlation accuracy (0.43) when predicting genomic breeding values for bulls with estimates from calving records from 2010 to 2016. Future analysis of the region on BTA11 and the relation of the candidate genes could improve this accuracy.
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Affiliation(s)
- Beth M Lett
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison 53706
| | - Brian W Kirkpatrick
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison 53706.
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Brand B, Scheinhardt MO, Friedrich J, Zimmer D, Reinsch N, Ponsuksili S, Schwerin M, Ziegler A. Adrenal cortex expression quantitative trait loci in a German Holstein × Charolais cross. BMC Genet 2016; 17:135. [PMID: 27716033 PMCID: PMC5053117 DOI: 10.1186/s12863-016-0442-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 09/28/2016] [Indexed: 12/30/2022] Open
Abstract
Background The importance of the adrenal gland in regard to lactation and reproduction in cattle has been recognized early. Caused by interest in animal welfare and the impact of stress on economically important traits in farm animals the adrenal gland and its function within the stress response is of increasing interest. However, the molecular mechanisms and pathways involved in stress-related effects on economically important traits in farm animals are not fully understood. Gene expression is an important mechanism underlying complex traits, and genetic variants affecting the transcript abundance are thought to influence the manifestation of an expressed phenotype. We therefore investigated the genetic background of adrenocortical gene expression by applying an adaptive linear rank test to identify genome-wide expression quantitative trait loci (eQTL) for adrenal cortex transcripts in cattle. Results A total of 10,986 adrenal cortex transcripts and 37,204 single nucleotide polymorphisms (SNPs) were analysed in 145 F2 cows of a Charolais × German Holstein cross. We identified 505 SNPs that were associated with the abundance of 129 transcripts, comprising 482 cis effects and 17 trans effects. These SNPs were located on all chromosomes but X, 16, 24 and 28. Associated genes are mainly involved in molecular and cellular functions comprising free radical scavenging, cellular compromise, cell morphology and lipid metabolism, including genes such as CYP27A1 and LHCGR that have been shown to affect economically important traits in cattle. Conclusions In this study we showed that adrenocortical eQTL affect the expression of genes known to contribute to the phenotypic manifestation in cattle. Furthermore, some of the identified genes and related molecular pathways were previously shown to contribute to the phenotypic variation of behaviour, temperament and growth at the onset of puberty in the same population investigated here. We conclude that eQTL analysis appears to be a useful approach providing insight into the molecular and genetic background of complex traits in cattle and will help to understand molecular networks involved. Electronic supplementary material The online version of this article (doi:10.1186/s12863-016-0442-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Bodo Brand
- Institute for Genome Biology, Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee, Dummerstorf, Germany.,Current affiliation: Institute for Farm Animal Research and Technology, University of Rostock, Justus-von-Liebig-Weg, 18059, Rostock, Germany
| | - Markus O Scheinhardt
- Institute of Medical Biometry and Statistics, University of Lübeck, Ratzeburger Allee, Lübeck, Germany
| | - Juliane Friedrich
- Institute for Farm Animal Research and Technology, University of Rostock, Justus-von-Liebig-Weg, Rostock, Germany
| | - Daisy Zimmer
- Institute for Farm Animal Research and Technology, University of Rostock, Justus-von-Liebig-Weg, Rostock, Germany
| | - Norbert Reinsch
- Institute for Genetics and Biometry, Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee, Dummerstorf, Germany
| | - Siriluck Ponsuksili
- Institute for Genome Biology, Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee, Dummerstorf, Germany
| | - Manfred Schwerin
- Institute for Genome Biology, Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee, Dummerstorf, Germany.,Institute for Farm Animal Research and Technology, University of Rostock, Justus-von-Liebig-Weg, Rostock, Germany
| | - Andreas Ziegler
- Institute of Medical Biometry and Statistics, University of Lübeck, Ratzeburger Allee, Lübeck, Germany. .,Center for Clinical Trials, University of Lübeck, Ratzeburger Allee, Lübeck, Germany. .,School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa.
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Shi J, Sun G. Effect of pre-miRNA-1658 gene polymorphism on chicken growth and carcass traits. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2016; 30:455-461. [PMID: 27503275 PMCID: PMC5394830 DOI: 10.5713/ajas.16.0305] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Revised: 05/30/2016] [Accepted: 08/04/2016] [Indexed: 12/17/2022]
Abstract
Objective Polymorphisms occurring in the precursor region of microRNAs (miRNAs) affect the target gene and alter the biogenesis of miRNAs, resulting in phenotypic variation. The purpose of the study was to investigate the genetic effects of rs16681031 (C>G) mutation in the precursor region of gga-miR-1658 on the economic traits of the Gushi-Anka chicken F2 resource population. Methods To explore the effect of miR-1658 polymorphisms on chicken economic traits, the SNP was genotyped by MassArray matrix-assisted laser desorption/ionization-time of flight mass spectrometry. The association between the SNP and chicken body size, growth and carcass traits was determined by linear mixed models. Results The SNP was not only significantly associated with body weight at the age of 6, 8, 10, 12 weeks, respectively, but also with the breadth of the chicken chest, body slanting length and pelvic breadth at 4 weeks, chest depth at 8 weeks of age, and body slanting length at 12 weeks (p<0.05), respectively. Conclusion Our data serve as a useful resource for further analysis of miRNA function, and represent a molecular genetic basis for poultry breeding.
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Affiliation(s)
- Jianzhou Shi
- Institute of Agricultural and Engineering, Nanyang Normal University, Nanyang, Henan 473061, China
| | - Guirong Sun
- College of Livestock Husbandry and Veterinary Engineering, Henan Agricultural University, Zhengzhou 450002, China
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