Transplantation of fecal microbiota from low to high residual feed intake chickens: Impacts on RFI, microbial community and metabolites profiles
Improving feed efficiency is vital to bolster profitability and sustainability in poultry production. Although several studies have established links between gut microbiota and feed efficiency, the direct effects remain unclear. In this study, two distinct lines of Huiyang bearded chickens, exhibiti...
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| Published in | Poultry science Vol. 104; no. 1; p. 104567 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
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England
Elsevier Inc
01.01.2025
Elsevier |
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| Online Access | Get full text |
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| Abstract | Improving feed efficiency is vital to bolster profitability and sustainability in poultry production. Although several studies have established links between gut microbiota and feed efficiency, the direct effects remain unclear. In this study, two distinct lines of Huiyang bearded chickens, exhibiting significant differences in residual feed intake (RFI), were developed after 15 generations of selective breeding. Fecal microbiota transplantation (FMT) from low RFI (LRFI) chickens to high RFI (HRFI) chickens resulted in a reduction trend in RFI, decreasing from 5.65 to 4.49 in the HRFI recipient chickens (HFMT). Microbiota composition and functional profiles in LRFI and HFMT chickens formed a distinct cluster compared to HRFI chickens. Using 16S rDNA sequencing and RandomForest analysis, Slackia, Peptococcus, Blautia, and Dorea were identified as key microbial markers associated with feed efficiency. Additionally, untargeted metabolomics identified common differential metabolites between HFMT and LRFI vs. HRFI groups. Correlation analysis showed significant correlations between these microbial markers and differential metabolites. These findings provide a foundation for microbiome-based strategies to improve feed efficiency in poultry.
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| AbstractList | Improving feed efficiency is vital to bolster profitability and sustainability in poultry production. Although several studies have established links between gut microbiota and feed efficiency, the direct effects remain unclear. In this study, two distinct lines of Huiyang bearded chickens, exhibiting significant differences in residual feed intake (RFI), were developed after 15 generations of selective breeding. Fecal microbiota transplantation (FMT) from low RFI (LRFI) chickens to high RFI (HRFI) chickens resulted in a reduction trend in RFI, decreasing from 5.65 to 4.49 in the HRFI recipient chickens (HFMT). Microbiota composition and functional profiles in LRFI and HFMT chickens formed a distinct cluster compared to HRFI chickens. Using 16S rDNA sequencing and RandomForest analysis, Slackia, Peptococcus, Blautia, and Dorea were identified as key microbial markers associated with feed efficiency. Additionally, untargeted metabolomics identified common differential metabolites between HFMT and LRFI vs. HRFI groups. Correlation analysis showed significant correlations between these microbial markers and differential metabolites. These findings provide a foundation for microbiome-based strategies to improve feed efficiency in poultry. Improving feed efficiency is vital to bolster profitability and sustainability in poultry production. Although several studies have established links between gut microbiota and feed efficiency, the direct effects remain unclear. In this study, two distinct lines of Huiyang bearded chickens, exhibiting significant differences in residual feed intake (RFI), were developed after 15 generations of selective breeding. Fecal microbiota transplantation (FMT) from low RFI (LRFI) chickens to high RFI (HRFI) chickens resulted in a reduction trend in RFI, decreasing from 5.65 to 4.49 in the HRFI recipient chickens (HFMT). Microbiota composition and functional profiles in LRFI and HFMT chickens formed a distinct cluster compared to HRFI chickens. Using 16S rDNA sequencing and RandomForest analysis, Slackia, Peptococcus, Blautia, and Dorea were identified as key microbial markers associated with feed efficiency. Additionally, untargeted metabolomics identified common differential metabolites between HFMT and LRFI vs. HRFI groups. Correlation analysis showed significant correlations between these microbial markers and differential metabolites. These findings provide a foundation for microbiome-based strategies to improve feed efficiency in poultry. [Display omitted] Improving feed efficiency is vital to bolster profitability and sustainability in poultry production. Although several studies have established links between gut microbiota and feed efficiency, the direct effects remain unclear. In this study, two distinct lines of Huiyang bearded chickens, exhibiting significant differences in residual feed intake (RFI), were developed after 15 generations of selective breeding. Fecal microbiota transplantation (FMT) from low RFI (LRFI) chickens to high RFI (HRFI) chickens resulted in a reduction trend in RFI, decreasing from 5.65 to 4.49 in the HRFI recipient chickens (HFMT). Microbiota composition and functional profiles in LRFI and HFMT chickens formed a distinct cluster compared to HRFI chickens. Using 16S rDNA sequencing and RandomForest analysis, Slackia, Peptococcus, Blautia, and Dorea were identified as key microbial markers associated with feed efficiency. Additionally, untargeted metabolomics identified common differential metabolites between HFMT and LRFI vs. HRFI groups. Correlation analysis showed significant correlations between these microbial markers and differential metabolites. These findings provide a foundation for microbiome-based strategies to improve feed efficiency in poultry.Improving feed efficiency is vital to bolster profitability and sustainability in poultry production. Although several studies have established links between gut microbiota and feed efficiency, the direct effects remain unclear. In this study, two distinct lines of Huiyang bearded chickens, exhibiting significant differences in residual feed intake (RFI), were developed after 15 generations of selective breeding. Fecal microbiota transplantation (FMT) from low RFI (LRFI) chickens to high RFI (HRFI) chickens resulted in a reduction trend in RFI, decreasing from 5.65 to 4.49 in the HRFI recipient chickens (HFMT). Microbiota composition and functional profiles in LRFI and HFMT chickens formed a distinct cluster compared to HRFI chickens. Using 16S rDNA sequencing and RandomForest analysis, Slackia, Peptococcus, Blautia, and Dorea were identified as key microbial markers associated with feed efficiency. Additionally, untargeted metabolomics identified common differential metabolites between HFMT and LRFI vs. HRFI groups. Correlation analysis showed significant correlations between these microbial markers and differential metabolites. These findings provide a foundation for microbiome-based strategies to improve feed efficiency in poultry. Improving feed efficiency is vital to bolster profitability and sustainability in poultry production. Although several studies have established links between gut microbiota and feed efficiency, the direct effects remain unclear. In this study, two distinct lines of Huiyang bearded chickens, exhibiting significant differences in residual feed intake ( RFI ), were developed after 15 generations of selective breeding. Fecal microbiota transplantation ( FMT ) from low RFI ( LRFI ) chickens to high RFI ( HRFI ) chickens resulted in a reduction trend in RFI, decreasing from 5.65 to 4.49 in the HRFI recipient chickens ( HFMT ). Microbiota composition and functional profiles in LRFI and HFMT chickens formed a distinct cluster compared to HRFI chickens. Using 16S rDNA sequencing and RandomForest analysis, Slackia, Peptococcus, Blautia , and Dorea were identified as key microbial markers associated with feed efficiency. Additionally, untargeted metabolomics identified common differential metabolites between HFMT and LRFI vs. HRFI groups. Correlation analysis showed significant correlations between these microbial markers and differential metabolites. These findings provide a foundation for microbiome-based strategies to improve feed efficiency in poultry. Image, graphical abstract |
| ArticleNumber | 104567 |
| Author | Cheng, Jiaheng Xie, Chunlin Xie, Lu Liang, Qiying Yuan, Yushan Ji, Jian |
| Author_xml | – sequence: 1 givenname: Chunlin surname: Xie fullname: Xie, Chunlin – sequence: 2 givenname: Qiying surname: Liang fullname: Liang, Qiying – sequence: 3 givenname: Jiaheng surname: Cheng fullname: Cheng, Jiaheng – sequence: 4 givenname: Yushan surname: Yuan fullname: Yuan, Yushan – sequence: 5 givenname: Lu surname: Xie fullname: Xie, Lu – sequence: 6 givenname: Jian orcidid: 0000-0003-1175-7730 surname: Ji fullname: Ji, Jian email: jijian@gdaas.cn |
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| Keywords | Gut microbiota Residual feed intake Chicken Fecal microbiota transplantation Microbial metabolite |
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| SubjectTerms | Animal Feed - analysis Animal Nutritional Physiological Phenomena Animals Chicken Chickens - genetics Chickens - microbiology Chickens - physiology Eating Fecal microbiota transplantation Fecal Microbiota Transplantation - veterinary Feces - microbiology feed conversion feed intake Female Gastrointestinal Microbiome Gut microbiota intestinal microorganisms Male METABOLISM AND NUTRITION metabolites Metabolome metabolomics microbial communities Microbial metabolite Peptococcus poultry production profitability Residual feed intake RNA, Ribosomal, 16S - analysis Slackia |
| Title | Transplantation of fecal microbiota from low to high residual feed intake chickens: Impacts on RFI, microbial community and metabolites profiles |
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