Identification of key genes associated with residual feed intake in small-sized meat ducks through integrated analysis of mRNA and miRNA transcriptomes

As a major producer and consumer of duck meat, China faces industry challenges due to low feed conversion efficiency. Residual feed intake (RFI), a key metric for poultry feed utilization, remains poorly characterized in small-sized meat ducks. We raised 1,000 ducklings with similar initial body weight (BW) under controlled conditions until 63 days of age. RFI was calculated using average daily gain (ADG), average daily feed intake (ADFI), and metabolic body weight (MBW<sup>0.75</sup>). Thirty high-RFI (HRFI) and thirty low-RFI (LRFI) ducks were selected to evaluate growth performance. Hypothalamic samples from 6 HRFI and 6 LRFI ducks underwent transcriptomic analysis, including differential gene expression, gene ontology, Kyoto Encyclopedia of Genes and Genomes pathway analysis, weighted gene co-expression network analysis, and miRNA target prediction. Results showed that the LRFI group had significantly lower feed intake (FI) and ADFI than the HRFI group (P < 0.05). Compared to low RFI controls, HRFI meat ducks exhibited 45 differentially expressed (DE) miRNAs (6 upregulated and 39 downregulated) and 323 DE mRNAs (133 upregulated and 190 downregulated), enriched in substance and energy metabolism pathways. Weighted gene co-expression network analysis identified ten hub DE miRNAs, including miR-1-3p, miR-10-5p/3p, miR-182-5p/3p, miR-183-5p, miR-263-5p, miR-96-5p, miR-7, and novel-m0108-5p. miRNA-mRNA network analysis revealed 43 DE regulatory pairs, including 15 with negative feedback. Notably, miR-182 targeted and regulated the highest number of DE mRNAs, showing negative feedback interactions with DDC, UPP2, PRSS35, and SLCO1C1. Dual-luciferase reporter assays confirmed the binding of partial genes. Given DDC's role in dopamine and serotonin synthesis, we further validated the miR-182-5p/DDC regulatory relationship through overexpression, interference, and Western blot experiments. This study provides novel insights into the molecular mechanisms underlying feed efficiency in ducks.

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Journal
Poultry Science
Published
2025-03-22
DOI
https://doi.org/10.1016/j.psj.2025.105058
Primary Topic
Cancer-related molecular mechanisms research
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article
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article

Identification of key genes associated with residual feed intake in small-sized meat ducks through integrated analysis of mRNA and miRNA transcriptomes

Hao Bai, Chunyou Yuan, Yong Qing Jiang, Zhixiu Wang et al.
Poultry Science
Cancer-related molecular mechanisms research
article

Identification of key genes associated with residual feed intake in small-sized meat ducks through integrated analysis of mRNA and miRNA transcriptomes

Hao Bai, Chunyou Yuan, Yong Qing Jiang, Zhixiu Wang, Xiaofan Li, Guohong Chen, Dandan Geng, Guobin Chang, Qixin Guo, Chenxiao Wang
article en

Abstract

As a major producer and consumer of duck meat, China faces industry challenges due to low feed conversion efficiency. Residual feed intake (RFI), a key metric for poultry feed utilization, remains poorly characterized in small-sized meat ducks. We raised 1,000 ducklings with similar initial body weight (BW) under controlled conditions until 63 days of age. RFI was calculated using average daily gain (ADG), average daily feed intake (ADFI), and metabolic body weight (MBW<sup>0.75</sup>). Thirty high-RFI (HRFI) and thirty low-RFI (LRFI) ducks were selected to evaluate growth performance. Hypothalamic samples from 6 HRFI and 6 LRFI ducks underwent transcriptomic analysis, including differential gene expression, gene ontology, Kyoto Encyclopedia of Genes and Genomes pathway analysis, weighted gene co-expression network analysis, and miRNA target prediction. Results showed that the LRFI group had significantly lower feed intake (FI) and ADFI than the HRFI group (P < 0.05). Compared to low RFI controls, HRFI meat ducks exhibited 45 differentially expressed (DE) miRNAs (6 upregulated and 39 downregulated) and 323 DE mRNAs (133 upregulated and 190 downregulated), enriched in substance and energy metabolism pathways. Weighted gene co-expression network analysis identified ten hub DE miRNAs, including miR-1-3p, miR-10-5p/3p, miR-182-5p/3p, miR-183-5p, miR-263-5p, miR-96-5p, miR-7, and novel-m0108-5p. miRNA-mRNA network analysis revealed 43 DE regulatory pairs, including 15 with negative feedback. Notably, miR-182 targeted and regulated the highest number of DE mRNAs, showing negative feedback interactions with DDC, UPP2, PRSS35, and SLCO1C1. Dual-luciferase reporter assays confirmed the binding of partial genes. Given DDC's role in dopamine and serotonin synthesis, we further validated the miR-182-5p/DDC regulatory relationship through overexpression, interference, and Western blot experiments. This study provides novel insights into the molecular mechanisms underlying feed efficiency in ducks.

Poultry ScienceVol. 104(5)
Ministry of Education (MV), Yangzhou University (CN)
Zero hunger
Openalex Percentile: Top 94%
Cancer-related molecular mechanisms research
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