Whole-genome Metagenomic Sequencing Reveals Gut Microbiota Composition and Function Associated with Differential Growth Performance in Two Chicken Breeds

Growth performance, an important trait in the broiler industry, is defined by both the host genome and gut microbiota. At present, it is not known how gut microbiota contribute to the growth of Dahen broilers, a commercially important breed in China. In this study, we used metagenome sequencing to compare the taxonomic composition and functional implications of cecal microbiota in fast-growing Dahen broilers and slow-growing Tibetan chickens. A total of 2,207,811 unique genes were assembled in the non-redundant set, and 99% of them were taxonomically annotated as having a bacterial origin. The fast-growing group displayed a higher alpha diversity than the slow-growing group in terms of ACE, Chao1, and Good's coverage statistics. The two groups presented also significantly different (<i>P</i> < 0.05) relative abundances of the genera <i>Collinsella</i>, <i>Olsenella</i>, <i>Pyramidobacter</i>, <i>Basidiobolus</i>, and <i>Mieseafarmvirus</i>, along with that of eight species (e.g., <i>Olsenella timonensis</i> and <i>Victivallis sp. Marseille Q1083</i>). Although not statistically significant, we found a higher expression of several energy metabolism-related eggNOG terms in the fast-growing group. In summary, the present study identifies gut microbiota associated with growth performance in Dahen broilers and offers new tools for gut microbiome-related intervention in this breed.

Authors

Institutions

Publication Details

Journal
The Journal of Poultry Science
Published
2025-01-01
DOI
https://doi.org/10.2141/jpsa.2025028
Citations
1
Primary Topic
Animal Nutrition and Physiology
Type
article
Field-Weighted Citation Impact
1.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Whole-genome Metagenomic Sequencing Reveals Gut Microbiota Composition and Function Associated with Differential Growth Performance in Two Chicken Breeds

Chaowu Yang, Mohan Qiu, Jialei Chen, Zhengang Xiong et al.
1 citations
The Journal of Poultry Science
Animal Nutrition and Physiology
1.19
article

Whole-genome Metagenomic Sequencing Reveals Gut Microbiota Composition and Function Associated with Differential Growth Performance in Two Chicken Breeds

Chaowu Yang, Mohan Qiu, Jialei Chen, Zhengang Xiong, Jiangxian Wang, Chunlin Yu, Han Peng, Chenming Hu, Zengrong Zhang, Longhuan Du, Xiaoyan Song, Shiliang Zhu, Xia Xiong, Bo Xia
article en
1 citations

Abstract

Growth performance, an important trait in the broiler industry, is defined by both the host genome and gut microbiota. At present, it is not known how gut microbiota contribute to the growth of Dahen broilers, a commercially important breed in China. In this study, we used metagenome sequencing to compare the taxonomic composition and functional implications of cecal microbiota in fast-growing Dahen broilers and slow-growing Tibetan chickens. A total of 2,207,811 unique genes were assembled in the non-redundant set, and 99% of them were taxonomically annotated as having a bacterial origin. The fast-growing group displayed a higher alpha diversity than the slow-growing group in terms of ACE, Chao1, and Good's coverage statistics. The two groups presented also significantly different (<i>P</i> < 0.05) relative abundances of the genera <i>Collinsella</i>, <i>Olsenella</i>, <i>Pyramidobacter</i>, <i>Basidiobolus</i>, and <i>Mieseafarmvirus</i>, along with that of eight species (e.g., <i>Olsenella timonensis</i> and <i>Victivallis sp. Marseille Q1083</i>). Although not statistically significant, we found a higher expression of several energy metabolism-related eggNOG terms in the fast-growing group. In summary, the present study identifies gut microbiota associated with growth performance in Dahen broilers and offers new tools for gut microbiome-related intervention in this breed.

The Journal of Poultry ScienceVol. 62(0)
Sichuan Animal Science Academy (CN)
Serbian Academy of Sciences and Arts
Openalex Percentile: Top 20%
Animal Nutrition and Physiology
1.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.