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Integrated transcriptome and microbiome analyses of residual feed intake in ducks during high production period

文献类型： 外文期刊

作者： Chang, Yuguang 1 ; Guo, Rongbing 1 ; Gu, Tiantian 1 ; Zong, Yibo 1 ; Sun, Hanxue 1 ; Xu, Wenwu 1 ; Chen, Li 1 ; Tian, Yong 1 ; Li, Guoqin 1 ; Lu, Lizhi 1 ; Zeng, Tao 1 ;

作者机构： 1.Zhejiang Acad Agr Sci, State Key Lab Managing Biot & Chem Threats Qual &, Hangzhou 310021, Peoples R China

2.Zhejiang Acad Agr Sci, Key Lab Livestock & Poultry Resources Poultry Eval, Minist Agr & Rural Affairs, Hangzhou 310021, Peoples R China

3.Zhejiang Acad Agr Sci, Inst Anim Husb & Vet Med, Hangzhou 310021, Peoples R China

4.Zhejiang A&F Univ, Coll Anim Sci, Hangzhou, Peoples R China

5.Nanjing Agr Univ, Coll Anim Sci & Technol, Nanjing 430064, Peoples R China

关键词： transcriptomic; microorganisms; RFI; duck

期刊名称：POULTRY SCIENCE （ 影响因子：3.8； 五年影响因子：4.1 ）

ISSN： 0032-5791

年卷期： 2024 年 103 卷 6 期

页码：

收录情况： SCI

摘要： Residual feed intake ( RFI ) is a crucial parameter for assessing the feeding efficiency of poultry. Minimizing RFI can enhance feed utilization and reduce costs. In this study, 315 healthy female ducks were individually housed in cages. Growth performance was monitored during the high laying period, from 290 to 325 d of age. The cecal transcriptome and microbiome of 12 ducks with high RFI and 12 with low residual feed intake ( LRFI ) were analyzed. Regarding growth performance, the LRFI group exhibited significantly lower RFI, feed conversion ratio ( FCR ), and feed intake ( Fi ) compared to the HRFI group ( p < 0.01). However, there were no significant differences observed in body weight ( BW ), body weight gain ( BWG ), and egg mass ( EML ) between the groups ( p > 0.05). Microbiome analysis demonstrated that RFI impacted gut microbial abundance, particularly affecting metabolism and disease -related microorganisms such as Romboutsia, Enterococcus , and Megamonas funiformis . Transcriptome analysis revealed that varying RFI changed the expression of genes related to glucose metabolism and lipid metabolism, including APOA1, G6PC1, PCK1 , and PLIN1 . The integrated analysis indicated that host genes were closely linked to the microbiota and primarily function in lipid metabolism, which may enhance feeding efficiency by influencing metabolism and maintaining gut homeostasis.

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