Literature DB >> 19923622

Effects of signal transducer and activator of transcription (STAT) genes STAT1 and STAT3 genotypic combinations on fertilization and embryonic survival rates in Holstein cattle.

H Khatib1, W Huang, D Mikheil, V Schutzkus, R L Monson.   

Abstract

Infertility is a major cause of dairy cow culling and economic loss. Signal transducer and activator of transcription (STAT) proteins are transcription factors that play an important role in fertility and early embryonic development, among many other functions. Previous studies have reported the association of several genes from the JAK/STAT signaling pathway with fertility traits in cattle. The STAT1 and STAT3 genes are members of this pathway and are known to interact with each other by forming a heterodimer complex that enters the nucleus and controls expression of specific genes. Thus, the objective of this study was to investigate the effects of the interactions between polymorphisms in these genes on fertilization and early embryonic survival rates using an in vitro fertilization system. A total of 7,519 oocytes, collected from 445 ovaries, were exposed to sperm and a total of 5,075 embryos were produced. Fertilization rate was calculated as the number of cleaved embryos at 48 h post-fertilization out of the total number of oocytes exposed to sperm. Early embryonic survival rate of embryos was calculated as the number of blastocysts on d 7 of development out of the total number of embryos cultured. Effects of ovary genotypes on fertilization and early embryonic survival rates were evaluated. Single-SNP analysis revealed a statistically significant association between SNP25402 in STAT3 and fertilization rate. Oocytes produced from ovaries with AA genotype showed a 0.701 fertilization rate versus 0.666 and 0.663 for oocytes produced from AC and CC ovaries, respectively. The interaction between STAT3 SNP (SNP19069/SNP25402) was highly significant for survival rate but not for fertilization rate. Also, the interaction between STAT1 SNP and SNP19069 was highly significant for survival rate. Genotype combinations found to promote fertilization and embryonic survival could be incorporated into breeding programs aimed at improving fertility performance in dairy cattle.

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Year:  2009        PMID: 19923622     DOI: 10.3168/jds.2009-2439

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  9 in total

1.  Molecular cloning and expression analysis of the STAT1 gene in the water buffalo (Bubalus bubalis).

Authors:  Tingxian Deng; Chunying Pang; Peng Zhu; Biyun Liao; Ming Zhang; Bingzhuang Yang; Xianwei Liang
Journal:  Trop Anim Health Prod       Date:  2014-10-22       Impact factor: 1.559

2.  Computational identification of tissue-specific transcription factor cooperation in ten cattle tissues.

Authors:  Lukas Steuernagel; Cornelia Meckbach; Felix Heinrich; Sebastian Zeidler; Armin O Schmitt; Mehmet Gültas
Journal:  PLoS One       Date:  2019-05-16       Impact factor: 3.240

3.  Sex affects immunolabeling for histone 3 K27me3 in the trophectoderm of the bovine blastocyst but not labeling for histone 3 K18ac.

Authors:  Luciano de R Carvalheira; Paula Tríbulo; Álan M Borges; Peter J Hansen
Journal:  PLoS One       Date:  2019-10-10       Impact factor: 3.240

4.  The impact of STAT3 and phospho-STAT3 expression on the prognosis and clinicopathology of ovarian cancer: a systematic review and meta-analysis.

Authors:  Shuo Gao; Wenyuan Zhang; Na Yan; Min Li; Xiaowei Mu; Huaxia Yin; Jinhua Wang
Journal:  J Ovarian Res       Date:  2021-11-18       Impact factor: 4.234

Review 5.  The role of STAT3 in autophagy.

Authors:  Liangkun You; Zhanggui Wang; Hongsen Li; Jiawei Shou; Zhao Jing; Jiansheng Xie; Xinbing Sui; Hongming Pan; Weidong Han
Journal:  Autophagy       Date:  2015       Impact factor: 16.016

6.  Postpartal subclinical endometritis alters transcriptome profiles in liver and adipose tissue of dairy cows.

Authors:  Haji Akbar; Felipe C Cardoso; Susanne Meier; Christopher Burke; Scott McDougall; Murray Mitchell; Caroline Walker; Sandra L Rodriguez-Zas; Robin E Everts; Harris A Lewin; John R Roche; Juan J Loor
Journal:  Bioinform Biol Insights       Date:  2014-02-19

7.  Integrating Genomics with Nutrition Models to Improve the Prediction of Cattle Performance and Carcass Composition under Feedlot Conditions.

Authors:  Luis O Tedeschi
Journal:  PLoS One       Date:  2015-11-24       Impact factor: 3.240

Review 8.  STAT3, stem cells, cancer stem cells and p63.

Authors:  Michaela Galoczova; Philip Coates; Borivoj Vojtesek
Journal:  Cell Mol Biol Lett       Date:  2018-03-22       Impact factor: 5.787

9.  Co-Expression Network Analysis Identifies miRNA⁻mRNA Networks Potentially Regulating Milk Traits and Blood Metabolites.

Authors:  Adolf A Ammah; Duy N Do; Nathalie Bissonnette; Nicolas Gévry; Eveline M Ibeagha-Awemu
Journal:  Int J Mol Sci       Date:  2018-08-24       Impact factor: 5.923

  9 in total

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