Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Complete genome-derived metabolic interactions reveal the impact of gut ecology on human health.

Created on 28 Aug 2026

Authors

Yuzheng Gu, Haoyu Wang, Jinlong Yang, Tao Zeng, Hewei Liang, Wenxin He, Mengmeng Wang, Zhinan Wu, Liye Yang, Yusheng Xu, Juan Zhao, Yuning Zhang, Yuliang Dong, Yiyi Zhong, Haifeng Zhang, Jinhong Wang, Xing Rao, Yangfeng Wen, Xiaofan Sun, Karsten Kristiansen, Yu Tian, Xin Tong, Ya Wang, Juan Yang, Fushu Liu, Zejun Yang, Wangsheng Li, Bo Wang, Peng Gao, Jun Xu, Yinglei Miao, Xin Jin, Chuanyu Liu, Xun Xu, Yang Sun, Feng Zhao, Liang Xiao, Yuanqiang Zou

Published in

Cell reports. Volume 45. Issue 9. Pages 117913. Aug 27, 2026. Epub Aug 27, 2026.

Abstract

Metabolic interactions govern gut microbiome assembly, yet their functional rules remain obscured by genomic incompleteness and fragmentation. Here, we leverage 1,150 complete genomes to construct genome-scale metabolic models, demonstrating that draft assemblies introduce systematic artifacts and omit critical transport functions. We observe that genomic traits and niche specialization, rather than random association, shape microbial metabolic competition and complementarity. Interaction asymmetry stratifies strains into four ecological groups, including active players, resource predators, resource utilizers, and resource contributors, with distinct signatures of metabolite exchange, competition, and secondary metabolism. In inflammatory bowel disease, these groups show subtype-specific temporal instability, and group-specific dysbiosis predicts clinical phenotypes better than the whole-community profiles. Keystone features derived from integrated metabolic interaction and co-occurrence networks also improve cross-validated disease classification. Together, these findings connect genome completeness with microbial ecological organization and provide a framework for linking metabolic interactions to microbiome-associated disease.

PMID:
42658680
Bibliographic data and abstract were imported from PubMed on 28 Aug 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 10
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement