Meta-Analysis of Heifer Traits Identified Reproductive Pathways in <i>Bos indicus</i> Cattle

Fertility traits measured early in life define the reproductive potential of heifers. Knowledge of genetics and biology can help devise genomic selection methods to improve heifer fertility. In this study, we used ~2400 Brahman cattle to perform GWAS and multi-trait meta-analysis to determine genomi...

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Main Authors: Muhammad S. Tahir, Laercio R. Porto-Neto, Cedric Gondro, Olasege B. Shittu, Kimberley Wockner, Andre W. L. Tan, Hugo R. Smith, Gabriela C. Gouveia, Jagish Kour, Marina R. S. Fortes
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Genes
Subjects:
Online Access:https://www.mdpi.com/2073-4425/12/5/768
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language English
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author Muhammad S. Tahir
Laercio R. Porto-Neto
Cedric Gondro
Olasege B. Shittu
Kimberley Wockner
Andre W. L. Tan
Hugo R. Smith
Gabriela C. Gouveia
Jagish Kour
Marina R. S. Fortes
spellingShingle Muhammad S. Tahir
Laercio R. Porto-Neto
Cedric Gondro
Olasege B. Shittu
Kimberley Wockner
Andre W. L. Tan
Hugo R. Smith
Gabriela C. Gouveia
Jagish Kour
Marina R. S. Fortes
Meta-Analysis of Heifer Traits Identified Reproductive Pathways in <i>Bos indicus</i> Cattle
Genes
GWAS
meta-analysis
gene ontology
<i>Bos indicus</i>
Brahman cattle
fertility
author_facet Muhammad S. Tahir
Laercio R. Porto-Neto
Cedric Gondro
Olasege B. Shittu
Kimberley Wockner
Andre W. L. Tan
Hugo R. Smith
Gabriela C. Gouveia
Jagish Kour
Marina R. S. Fortes
author_sort Muhammad S. Tahir
title Meta-Analysis of Heifer Traits Identified Reproductive Pathways in <i>Bos indicus</i> Cattle
title_short Meta-Analysis of Heifer Traits Identified Reproductive Pathways in <i>Bos indicus</i> Cattle
title_full Meta-Analysis of Heifer Traits Identified Reproductive Pathways in <i>Bos indicus</i> Cattle
title_fullStr Meta-Analysis of Heifer Traits Identified Reproductive Pathways in <i>Bos indicus</i> Cattle
title_full_unstemmed Meta-Analysis of Heifer Traits Identified Reproductive Pathways in <i>Bos indicus</i> Cattle
title_sort meta-analysis of heifer traits identified reproductive pathways in <i>bos indicus</i> cattle
publisher MDPI AG
series Genes
issn 2073-4425
publishDate 2021-05-01
description Fertility traits measured early in life define the reproductive potential of heifers. Knowledge of genetics and biology can help devise genomic selection methods to improve heifer fertility. In this study, we used ~2400 Brahman cattle to perform GWAS and multi-trait meta-analysis to determine genomic regions associated with heifer fertility. Heifer traits measured were pregnancy at first mating opportunity (PREG1, a binary trait), first conception score (FCS, score 1 to 3) and rebreeding score (REB, score 1 to 3.5). The heritability estimates were 0.17 (0.03) for PREG1, 0.11 (0.05) for FCS and 0.28 (0.05) for REB. The three traits were highly genetically correlated (0.75–0.83) as expected. Meta-analysis was performed using SNP effects estimated for each of the three traits, adjusted for standard error. We identified 1359 significant SNPs (<i>p</i>-value < 9.9 × 10<sup>−6</sup> at FDR < 0.0001) in the multi-trait meta-analysis. Genomic regions of 0.5 Mb around each significant SNP from the meta-analysis were annotated to create a list of 2560 positional candidate genes. The most significant SNP was in the vicinity of a genomic region on chromosome 8, encompassing the genes <i>SLC44A1</i>, <i>FSD1L</i>, <i>FKTN</i>, <i>TAL2</i> and <i>TMEM38B</i>. The genomic region in humans that contains homologs of these genes is associated with age at puberty in girls. Top significant SNPs pointed to additional fertility-related genes, again within a 0.5 Mb region, including <i>ESR2</i>, <i>ITPR1</i>, <i>GNG2, RGS9BP, ANKRD27</i>, <i>TDRD12</i>, <i>GRM1, MTHFD1, PTGDR</i> and <i>NTNG1.</i> Functional pathway enrichment analysis resulted in many positional candidate genes relating to known fertility pathways, including GnRH signaling, estrogen signaling, progesterone mediated oocyte maturation, cAMP signaling, calcium signaling, glutamatergic signaling, focal adhesion, PI3K-AKT signaling and ovarian steroidogenesis pathway. The comparison of results from this study with previous transcriptomics and proteomics studies on puberty of the same cattle breed (Brahman) but in a different population identified 392 genes in common from which some genes—<i>BRAF, GABRA2, GABR1B, GAD1, FSHR, CNGA3, PDE10A, SNAP25, ESR2, GRIA2, ORAI1, EGFR, CHRNA5, VDAC2, ACVR2B, ORAI3, CYP11A1, GRIN2A, ATP2B3, CAMK2A, PLA2G, CAMK2D and MAPK3</i>—are also part of the above-mentioned pathways. The biological functions of the positional candidate genes and their annotation to known pathways allowed integrating the results into a bigger picture of molecular mechanisms related to puberty in the hypothalamus–pituitary–ovarian axis. A reasonable number of genes, common between previous puberty studies and this study on early reproductive traits, corroborates the proposed molecular mechanisms. This study identified the polymorphism associated with early reproductive traits, and candidate genes that provided a visualization of the proposed mechanisms, coordinating the hypothalamic, pituitary, and ovarian functions for reproductive performance in Brahman cattle.
topic GWAS
meta-analysis
gene ontology
<i>Bos indicus</i>
Brahman cattle
fertility
url https://www.mdpi.com/2073-4425/12/5/768
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spelling doaj-b8571f0692a3495893c93ce7273af6692021-06-01T00:21:53ZengMDPI AGGenes2073-44252021-05-011276876810.3390/genes12050768Meta-Analysis of Heifer Traits Identified Reproductive Pathways in <i>Bos indicus</i> CattleMuhammad S. Tahir0Laercio R. Porto-Neto1Cedric Gondro2Olasege B. Shittu3Kimberley Wockner4Andre W. L. Tan5Hugo R. Smith6Gabriela C. Gouveia7Jagish Kour8Marina R. S. Fortes9School of Chemistry and Molecular Bioscience, The University of Queensland Australia, Brisbane, QLD 4072, AustraliaCommonwealth Scientific and Industrial Research Organization, Brisbane, QLD 4072, AustraliaDepartment of Animal Science, Michigan State University, East Lansing, MI 48824, USASchool of Chemistry and Molecular Bioscience, The University of Queensland Australia, Brisbane, QLD 4072, AustraliaSchool of Chemistry and Molecular Bioscience, The University of Queensland Australia, Brisbane, QLD 4072, AustraliaSchool of Chemistry and Molecular Bioscience, The University of Queensland Australia, Brisbane, QLD 4072, AustraliaSchool of Chemistry and Molecular Bioscience, The University of Queensland Australia, Brisbane, QLD 4072, AustraliaAnimal Science Department, Veterinary School, Federal University of Minas Gerais, Belo Horizonte 31270-901, BrazilSchool of Chemistry and Molecular Bioscience, The University of Queensland Australia, Brisbane, QLD 4072, AustraliaSchool of Chemistry and Molecular Bioscience, The University of Queensland Australia, Brisbane, QLD 4072, AustraliaFertility traits measured early in life define the reproductive potential of heifers. Knowledge of genetics and biology can help devise genomic selection methods to improve heifer fertility. In this study, we used ~2400 Brahman cattle to perform GWAS and multi-trait meta-analysis to determine genomic regions associated with heifer fertility. Heifer traits measured were pregnancy at first mating opportunity (PREG1, a binary trait), first conception score (FCS, score 1 to 3) and rebreeding score (REB, score 1 to 3.5). The heritability estimates were 0.17 (0.03) for PREG1, 0.11 (0.05) for FCS and 0.28 (0.05) for REB. The three traits were highly genetically correlated (0.75–0.83) as expected. Meta-analysis was performed using SNP effects estimated for each of the three traits, adjusted for standard error. We identified 1359 significant SNPs (<i>p</i>-value < 9.9 × 10<sup>−6</sup> at FDR < 0.0001) in the multi-trait meta-analysis. Genomic regions of 0.5 Mb around each significant SNP from the meta-analysis were annotated to create a list of 2560 positional candidate genes. The most significant SNP was in the vicinity of a genomic region on chromosome 8, encompassing the genes <i>SLC44A1</i>, <i>FSD1L</i>, <i>FKTN</i>, <i>TAL2</i> and <i>TMEM38B</i>. The genomic region in humans that contains homologs of these genes is associated with age at puberty in girls. Top significant SNPs pointed to additional fertility-related genes, again within a 0.5 Mb region, including <i>ESR2</i>, <i>ITPR1</i>, <i>GNG2, RGS9BP, ANKRD27</i>, <i>TDRD12</i>, <i>GRM1, MTHFD1, PTGDR</i> and <i>NTNG1.</i> Functional pathway enrichment analysis resulted in many positional candidate genes relating to known fertility pathways, including GnRH signaling, estrogen signaling, progesterone mediated oocyte maturation, cAMP signaling, calcium signaling, glutamatergic signaling, focal adhesion, PI3K-AKT signaling and ovarian steroidogenesis pathway. The comparison of results from this study with previous transcriptomics and proteomics studies on puberty of the same cattle breed (Brahman) but in a different population identified 392 genes in common from which some genes—<i>BRAF, GABRA2, GABR1B, GAD1, FSHR, CNGA3, PDE10A, SNAP25, ESR2, GRIA2, ORAI1, EGFR, CHRNA5, VDAC2, ACVR2B, ORAI3, CYP11A1, GRIN2A, ATP2B3, CAMK2A, PLA2G, CAMK2D and MAPK3</i>—are also part of the above-mentioned pathways. The biological functions of the positional candidate genes and their annotation to known pathways allowed integrating the results into a bigger picture of molecular mechanisms related to puberty in the hypothalamus–pituitary–ovarian axis. A reasonable number of genes, common between previous puberty studies and this study on early reproductive traits, corroborates the proposed molecular mechanisms. This study identified the polymorphism associated with early reproductive traits, and candidate genes that provided a visualization of the proposed mechanisms, coordinating the hypothalamic, pituitary, and ovarian functions for reproductive performance in Brahman cattle.https://www.mdpi.com/2073-4425/12/5/768GWASmeta-analysisgene ontology<i>Bos indicus</i>Brahman cattlefertility