Integrated miRNA and mRNA transcriptomes of spleen profiles between Yorkshire and Queshan black pigs.


Journal

Gene
ISSN: 1879-0038
Titre abrégé: Gene
Pays: Netherlands
ID NLM: 7706761

Informations de publication

Date de publication:
10 Mar 2019
Historique:
received: 24 06 2018
revised: 31 10 2018
accepted: 22 11 2018
pubmed: 12 12 2018
medline: 5 2 2019
entrez: 12 12 2018
Statut: ppublish

Résumé

Disease causes large economic losses to the pig industry worldwidely, immunity plays an important role in the process of resistance to disease. In the present study, to elucidate the molecular mechanisms underlying different levels of disease resistance, we obtained the miRNA and mRNA expression profiles from the spleens of three groups of sows, including 180-day-old Queshan Black (Q-F), 3-day-old Yorkshire (Y-N) and 180-day-old Yorkshire (Y-F) pigs. The results showed that 85 miRNAs and 5093 genes were differentially expressed in Y-F vs Y-N, and 20 miRNAs and 1283 genes were differentially expressed in Q-F vs Y-F. Gene ontology analysis of these differentially expressed genes revealed their critical roles in response to immune response-related signaling pathways. To investigate the molecular mechanisms underlying immune diversity based on differentially expressed miRNAs and genes, the regulatory network between the node miRNAs and genes were established using Cytoscape. The results showed that the identified candidate miRNAs and genes were associated with immune response, and also indicated their potential roles in disease resistance variance between different pig breeds and stages. From the above, this research detected the key factors that were involved in disease resistance, and provide useful information for disease resistance breeding.

Identifiants

pubmed: 30529098
pii: S0378-1119(18)31220-4
doi: 10.1016/j.gene.2018.11.077
pii:
doi:

Substances chimiques

MicroRNAs 0
RNA, Messenger 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

204-214

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Xinjian Li (X)

College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002), China.

Ruimin Qiao (R)

College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002), China.

Jianwei Ye (J)

College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002), China.

Mingyu Wang (M)

College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002), China.

Chen Zhang (C)

College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002), China.

Gang Lv (G)

College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002), China.

Kejun Wang (K)

College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002), China.

Xiuling Li (X)

College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002), China.

Xuelei Han (X)

College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002), China. Electronic address: hxl014@126.com.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH