Integration of transcriptome sequencing and whole genome resequencing reveal candidate genes in egg production of upright and pendulous-comb chickens

• Published in: Poultry science Vol. 102; no. 4; p. 102504
• Main Authors: Cai, Danfeng, Wang, Zhijun, Zhou, Zhen, Lin, Duo, Ju, Xing, Nie, Qinghua
• Format: Journal Article
• Language: English
• Published: England Elsevier Inc 01.04.2023; Elsevier
• Subjects: Animals; Chickens - genetics; Chickens - metabolism; egg production performance; Estrogens - metabolism; Female; Gene Expression Profiling - veterinary; GENETICS AND MOLECULAR BIOLOGY; Lipids; Progesterone - metabolism; Transcriptome; transcriptome sequencing; upright and pendulous-comb; whole genome resequencing; upright and pendulous-comb; egg production performance; whole genome resequencing; transcriptome sequencing
• ISSN: 0032-5791; 1525-3171
• DOI: 10.1016/j.psj.2023.102504

Egg production performance plays an important role in the poultry industry across the world. Previous studies have shown a great difference in egg production performance between pendulous-comb (PC) and upright-comb (UC) chickens. However, there are no reports to identify potential candidate genes for egg production in PC and UC chickens. In the present study, 1,606 laying chickens were raised, and the egg laid by individual chicken was collected for 100 d. Moreover, the expression level of estrogen and progesterone hormones was measured at the start-laying and peak-laying periods of hens. Besides, 4 PC and 4 UC chickens were selected at 217 d of age to perform transcriptome sequencing (RNA-seq) and whole genome resequencing (WGS) to screen the potential candidate genes of egg production. The results showed that PC chicken demonstrated better egg production performance (P < 0.05) and higher estrogen and progesterone hormone expression levels than UC chicken (P < 0.05). RNA-seq analysis showed that 341 upregulated and 1,036 downregulated differentially expressed genes (DEGs) were identified in the ovary tissues of PC and UC chickens. These DEGs were mainly enriched in protein-related, lipid-related, and nucleic acids-related biological processes including ribosome, peptide biosynthetic process, lipid transport terms, and catalytic activity acting on RNA which can significantly affect egg production in chicken. The enrichment results of WGS analysis were consistent with RNA-seq. Further, joint analysis of WGS and RNA-seq data was utilized to screen 30 genes and CAMK1D, CLSTN2, MAST2, PIK3C2G, TBC1D1, STK3, ADGRB3, and PPARGC1A were identified as potential candidate genes for egg production in PC and UC chickens. In summary, our study provides a wealth of information for a better understanding of the genetic and molecular mechanism for the future breeding of PC and UC chickens for egg production.