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Identification and Regulatory Network Analysis of Genes Related to Reproductive Performance in the Hypothalamus and Pituitary of Angus Cattle

Authors :
Yuwen Huang
Chenfeng Yuan
Yun Zhao
Chunjin Li
Maosheng Cao
Haobang Li
Zijiao Zhao
Ao Sun
Wangdui Basang
Yanbin Zhu
Lu Chen
Fang He
Cheng Huan
Boqi Zhang
Tariq Iqbal
Yamen Wei
Wenjing Fan
Kangle Yi
Xu Zhou
Source :
Genes, Vol 13, Iss 6, p 965 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

In this study, we explored the gene expression patterns of the pituitary gland and hypothalamus of Angus cows at different growth and developmental stages by deep sequencing and we identified genes that affect bovine reproductive performance to provide new ideas for improving bovine fertility in production practice. We selected three 6-month-old (weaning period), three 18-month-old (first mating period), and three 30-month-old (early postpartum) Angus cattle. The physiological status of the cows in each group was the same, and their body conformations were similar. After quality control of the sequencing, the transcriptome analyses of 18 samples yielded 129.18 GB of clean data. We detected 13,280 and 13,318 expressed genes in the pituitary gland and hypothalamus, respectively, and screened 35 and 50 differentially expressed genes (DEGs) for each, respectively. The differentially expressed genes in both tissues were mainly engaged in metabolism, lipid synthesis, and immune-related pathways in the 18-month-old cows as compared with the 6-month-old cows. The 30-month-old cows presented more regulated reproductive behavior, and pituitary CAMK4 was the main factor regulating the reproductive behavior during this period via the pathways for calcium signaling, longevity, oxytocin, and aldosterone synthesis and secretion. A variant calling analysis also was performed. The SNP inversions and conversions in each sample were counted according to the different base substitution methods. In all samples, most base substitutions were represented by substitutions between bases A and G, and the probability of base conversion exceeded 70%, far exceeding the transversion. Heterozygous SNP sites exceeded 37.68%.

Details

Language :
English
ISSN :
20734425
Volume :
13
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Genes
Publication Type :
Academic Journal
Accession number :
edsdoj.4c44cee48a144785b237958b6c4fd6ef
Document Type :
article
Full Text :
https://doi.org/10.3390/genes13060965