Comparative transcriptomic analysis of ovaries from high and low egg-laying Lingyun black-bone chickens

Vet Med Sci. 2021 Sep;7(5):1867-1880. doi: 10.1002/vms3.575. Epub 2021 Jul 28.

Abstract

Egg-laying rate is mainly determined by ovarian function and regulated by the hypothalamic-pituitary-gonadal axis; however, the mechanism by which the ovary regulates the egg-laying rate is still poorly understood. The purpose of this study was to compare the differences in the transcriptomes of the ovary of Lingyun black-bone chickens with relatively high and low egg-laying rates and screen candidate genes related to the egg-laying rate. RNA-sequencing (RNA-Seq) was conducted to explore the chicken transcriptome from the ovarian tissue of six Lingyun black-bone chickens with high (group G, n = 3) and low (group D, n = 3) egg-laying rates. The results showed that 235 differentially expressed genes (DEGs) were identified between the chickens with high and low egg-laying rates; among them, 209 DEGs were up-regulated and 26 DEGs were down-regulated. Gene Ontology analysis showed that the up-regulated 209 DEGs were enriched in 50 GO terms and the down-regulated 26 DEGs were enriched in 40 GO terms. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that up-regulated DEGs were significantly enriched in 25 pathways and down-regulated DEGs were significantly enriched in three pathways. Among the pathways, we found the longevity regulating pathway-multiple species pathway, Estrogen signalling pathway and PPAR signalling pathway may have an essential function in regulating the egg-laying rate. The results highlighted DEGs in the ovarian tissues of relatively high and low laying Lingyun black-bone chicken and identified essential candidate genes related to the egg-laying rate, thereby providing a theoretical basis for improving the egg-laying rate of Lingyun black-bone chicken.

Keywords: Lingyun black-bone chicken; RNA-seq; egg-laying rate; transcriptome annotation.

MeSH terms

  • Animals
  • Chickens / genetics
  • Female
  • Gene Expression Profiling / methods
  • Gene Expression Profiling / veterinary
  • Ovary* / metabolism
  • Sequence Analysis, RNA / veterinary
  • Transcriptome*