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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.
Afiliação
  • Li J; College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China.
  • Liu J; Department of Immunology, Zunyi Medical College, Zunyi, Guizhou, China.
  • Campanile G; College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China.
  • Plastow G; Department of Veterinary Medicine and Animal Productions, University of Naples "Federico II", Naples, Italy.
  • Zhang C; Department of Agricultural, Food & Nutritional Science, University of Alberta, Edmonton, AB, Canada.
  • Wang Z; Department of Agricultural, Food & Nutritional Science, University of Alberta, Edmonton, AB, Canada.
  • Cassandro M; Department of Agricultural, Food & Nutritional Science, University of Alberta, Edmonton, AB, Canada.
  • Gasparrini B; Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Agripolis, Legnaro, Italy.
  • Salzano A; Department of Veterinary Medicine and Animal Productions, University of Naples "Federico II", Naples, Italy.
  • Hua G; Department of Veterinary Medicine and Animal Productions, University of Naples "Federico II", Naples, Italy.
  • Liang A; College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China.
  • Yang L; College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China. lax.pipi@mail.hzau.edu.cn.
BMC Genomics ; 19(1): 814, 2018 Nov 12.
Article em En | MEDLINE | ID: mdl-30419816
ABSTRACT

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reprodução / Búfalos / Genômica / Locos de Características Quantitativas / Estudo de Associação Genômica Ampla / Fertilidade / Folículo Ovariano Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reprodução / Búfalos / Genômica / Locos de Características Quantitativas / Estudo de Associação Genômica Ampla / Fertilidade / Folículo Ovariano Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China