Transcriptome analysis reveals the potential roles of long non-coding RNAs in feed efficiency of chicken

• Published in: Scientific reports Vol. 12; no. 1; p. 2558
• Main Authors: Karimi, Parastoo, Bakhtiarizadeh, Mohammad Reza, Salehi, Abdolreza, Izadnia, Hamid Reza
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 15-02-2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114/2114; 631/61/191/2018; Animal Feed - analysis; Animal products; Animals; Bioinformatics; Carbohydrate metabolism; Chickens; Chickens - metabolism; Efficiency; Energy balance; Energy metabolism; Feed conversion; Feed efficiency; Gene expression; Glucose metabolism; Homeostasis; Humanities and Social Sciences; Lipid metabolism; Liver; Localization; Metabolism; Molecular modelling; multidisciplinary; Non-coding RNA; Physical growth; Poultry; Poultry feed; Production costs; Protein Interaction Maps; Quantitative trait loci; RNA, Long Noncoding - metabolism; Science; Science (multidisciplinary); Transcriptome; Transcriptomes
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-022-06528-6

Feed efficiency is an important economic trait and reduces the production costs per unit of animal product. Up to now, few studies have conducted transcriptome profiling of liver tissue in feed efficiency-divergent chickens (Ross vs native breeds). Also, molecular mechanisms contributing to differences in feed efficiency are not fully understood, especially in terms of long non-coding RNAs (lncRNAs). Hence, transcriptome profiles of liver tissue in commercial and native chicken breeds were analyzed. RNA-Seq data along with bioinformatics approaches were applied and a series of lncRNAs and target genes were identified. Furthermore, protein–protein interaction network construction, co-expression analysis, co-localization analysis of QTLs and functional enrichment analysis were used to functionally annotate the identified lncRNAs. In total, 2,290 lncRNAs were found (including 1,110 annotated, 593 known and 587 novel), of which 53 (including 39 known and 14 novel), were identified as differentially expressed genes between two breeds. The expression profile of lncRNAs was validated by RT-qPCR. The identified novel lncRNAs showed a number of characteristics similar to those of known lncRNAs. Target prediction analysis showed that these lncRNAs have the potential to act in cis or trans mode. Functional enrichment analysis of the predicted target genes revealed that they might affect the differences in feed efficiency of chicken by modulating genes associated with lipid metabolism, carbohydrate metabolism, growth, energy homeostasis and glucose metabolism. Some gene members of significant modules in the constructed co-expression networks were reported as important genes related to feed efficiency. Co-localization analysis of QTLs related to feed efficiency and the identified lncRNAs suggested several candidates to be involved in residual feed intake. The findings of this study provided valuable resources to further clarify the genetic basis of regulation of feed efficiency in chicken from the perspective of lncRNAs.