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Novel insights into the genetic basis of buffalo reproductive performance
BACKGROUND: Fertility is a complex trait that has a major impact on the development of the buffalo industry. Genome-wide association study (GWAS) has increased the ability to detect genes influencing complex traits, and many important genes related to reproductive traits have been identified in rumi...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233259/ https://www.ncbi.nlm.nih.gov/pubmed/30419816 http://dx.doi.org/10.1186/s12864-018-5208-6 |
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author | Li, Jun Liu, Jiajia Campanile, Giuseppe Plastow, Graham Zhang, Chunyan Wang, Zhiquan Cassandro, Martino Gasparrini, Bianca Salzano, Angela Hua, Guohua Liang, Aixin Yang, Liguo |
author_facet | Li, Jun Liu, Jiajia Campanile, Giuseppe Plastow, Graham Zhang, Chunyan Wang, Zhiquan Cassandro, Martino Gasparrini, Bianca Salzano, Angela Hua, Guohua Liang, Aixin Yang, Liguo |
author_sort | Li, Jun |
collection | PubMed |
description | BACKGROUND: Fertility is a complex trait that has a major impact on the development of the buffalo industry. Genome-wide association study (GWAS) has increased the ability to detect genes influencing complex traits, and many important genes related to reproductive traits have been identified in ruminants. However, reproductive traits are influenced by many factors. The development of the follicle is one of the most important internal processes affecting fertility. Genes found by GWAS to be associated with follicular development may directly affect fertility. The present study combined GWAS and RNA-seq of follicular granulosa cells to identify important genes which may affect fertility in the buffalo. RESULTS: The 90 K Affymetrix Axiom Buffalo SNP Array was used to identify the SNPs, genomic regions, and genes that were associated with reproductive traits. A total of 40 suggestive loci (related to 28 genes) were identified to be associated with six reproductive traits (first, second and third calving age, calving interval, the number of services per conception and open days). Interestingly, the mRNA expressions of 25 of these genes were also observed in buffalo follicular granulosa cells. The IGFBP7 gene showed high level of expression during whole antral follicle growth. The knockdown of IGFBP7 in buffalo granulosa cells promoted cell apoptosis and hindered cell proliferation, and increased the production of progesterone and estradiol. Furthermore, a notable signal was detected at 2.3–2.7 Mb on the equivalent of bovine chromosome 5 associated with age at second calving, calving interval, and open days. CONCLUSIONS: The genes associated with buffalo reproductive traits in this study may have effect on fertility by regulating of follicular growth. These results may have important implications for improving buffalo breeding programs through application of genomic information. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5208-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6233259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62332592018-11-20 Novel insights into the genetic basis of buffalo reproductive performance Li, Jun Liu, Jiajia Campanile, Giuseppe Plastow, Graham Zhang, Chunyan Wang, Zhiquan Cassandro, Martino Gasparrini, Bianca Salzano, Angela Hua, Guohua Liang, Aixin Yang, Liguo BMC Genomics Research Article BACKGROUND: Fertility is a complex trait that has a major impact on the development of the buffalo industry. Genome-wide association study (GWAS) has increased the ability to detect genes influencing complex traits, and many important genes related to reproductive traits have been identified in ruminants. However, reproductive traits are influenced by many factors. The development of the follicle is one of the most important internal processes affecting fertility. Genes found by GWAS to be associated with follicular development may directly affect fertility. The present study combined GWAS and RNA-seq of follicular granulosa cells to identify important genes which may affect fertility in the buffalo. RESULTS: The 90 K Affymetrix Axiom Buffalo SNP Array was used to identify the SNPs, genomic regions, and genes that were associated with reproductive traits. A total of 40 suggestive loci (related to 28 genes) were identified to be associated with six reproductive traits (first, second and third calving age, calving interval, the number of services per conception and open days). Interestingly, the mRNA expressions of 25 of these genes were also observed in buffalo follicular granulosa cells. The IGFBP7 gene showed high level of expression during whole antral follicle growth. The knockdown of IGFBP7 in buffalo granulosa cells promoted cell apoptosis and hindered cell proliferation, and increased the production of progesterone and estradiol. Furthermore, a notable signal was detected at 2.3–2.7 Mb on the equivalent of bovine chromosome 5 associated with age at second calving, calving interval, and open days. CONCLUSIONS: The genes associated with buffalo reproductive traits in this study may have effect on fertility by regulating of follicular growth. These results may have important implications for improving buffalo breeding programs through application of genomic information. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5208-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-12 /pmc/articles/PMC6233259/ /pubmed/30419816 http://dx.doi.org/10.1186/s12864-018-5208-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Li, Jun Liu, Jiajia Campanile, Giuseppe Plastow, Graham Zhang, Chunyan Wang, Zhiquan Cassandro, Martino Gasparrini, Bianca Salzano, Angela Hua, Guohua Liang, Aixin Yang, Liguo Novel insights into the genetic basis of buffalo reproductive performance |
title | Novel insights into the genetic basis of buffalo reproductive performance |
title_full | Novel insights into the genetic basis of buffalo reproductive performance |
title_fullStr | Novel insights into the genetic basis of buffalo reproductive performance |
title_full_unstemmed | Novel insights into the genetic basis of buffalo reproductive performance |
title_short | Novel insights into the genetic basis of buffalo reproductive performance |
title_sort | novel insights into the genetic basis of buffalo reproductive performance |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233259/ https://www.ncbi.nlm.nih.gov/pubmed/30419816 http://dx.doi.org/10.1186/s12864-018-5208-6 |
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