Impact Factor 3.517 | CiteScore 3.60
More on impact ›

Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Genet. | doi: 10.3389/fgene.2019.00988

mRNA and miRNA Transcriptome Profiling of Granulosa and Theca Layers from Geese Ovarian Follicles Reveals the Crucial Pathways and Interaction Networks for Regulation of Follicle Selection

 Qin Li1, 2, Shenqiang Hu1,  Yushi Wang1,  Yan Deng1, Shuang Yang1, Jiwei Hu1, Liang Li1 and Jiwen Wang1*
  • 1Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, China
  • 2Chongqing Academy of Animal Science, China

Follicle development is characterized by the recruitment, growth, selection, and dominance of follicles, and follicle selection determines the lifetime reproductive performance. However, in birds, the molecular mechanisms underlying follicle selection still remain elusive. This study analyzed genome-wide changes in the mRNA and miRNA expression profiles in both the granulosa and theca layers of geese ovarian follicles before selection (4-6 mm and 8-10 mm follicles) and after selection (F5). The sequencing results showed that a higher number of both differentially expressed (DE) mRNAs and DE miRNAs were identified between 8-10 mm and F5 follicles compared to those between the 4-6 mm and 8-10 mm follicles, especially in the granulosa layer. Moreover, a short time-series expression miner analysis identified a large number of DE mRNAs and DE miRNAs that are associated with follicle selection. Functional enrichment analysis showed that DE genes in the granulosa layer during follicle selection were mainly enriched in five pathways related to junctional adhesion and two pathways associated with lipid metabolism. Additionally, an interaction network was constructed to visualize interactions among protein-coding genes, which identified 53 junctional adhesion- and 15 lipid regulation-related protein-coding genes. Then, a co-expression network between mRNAs and miRNAs in relation to junctional adhesion was also visualized, and mainly included acy-miR-2954, acy-miR-218, acy-miR-2970, acy-miR-100, acy-miR-1329, acy-miR-199, acy-miR-425, acy-miR-181, and acy-miR-147. Furthermore, miRNA-mRNA interaction pairs related to lipid regulation were constructed including acy-miR-107, acy-miR-138, acy-miR-130, acy-miR-128, and acy-miR-101 during follicular selection. In summary, these data highlight the key roles of junctional adhesion and lipid metabolism during follicular selection and contribute to a better understanding of the mechanisms underlying follicle selection in birds.

Keywords: Anser cygnoides, follicle selection, Granulosa layer, Theca layer, transcriptome profiling, junctional adhesion, Lipid Metabolism

Received: 25 Jun 2019; Accepted: 17 Sep 2019.

Copyright: © 2019 Li, Hu, Wang, Deng, Yang, Hu, Li and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Prof. Jiwen Wang, Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China,