puc-header

A Quantitative Theory of War and Peace in the Gut Microbiota

38 Pages Posted: 10 Apr 2018 Sneak Peek Status: Review Complete

See all articles by Libo Jiang

Libo Jiang

Beijing Forestry University - Center for Statistical Genetics

Xinjuan Liu

Capital Medical University - Department of Gastroenterology

Mengmeng Sang

Beijing Forestry University - Center for Statistical Genetics

Jingwen Gan

Beijing Forestry University - Center for Statistical Genetics

Qian Wang

Beijing Forestry University - Center for Statistical Genetics

Claudia Gragnoli

Thomas Jefferson University - Division of Endocrinology, Diabetes & Metabolic Diseases

Rongling Wu

Pennsylvania State University - Department of Public Health Sciences

More...

Abstract

The gut microbiota is regarded as a densely packed microbial ecosystem. Growing data have evidenced the critical role this microcommunity plays in determining human health through its internal interactions, but it is unclear how such interactions organize into complex networks to function. Here, we propose a quantitative theory to dissect, visualize and interpret microbial interactions by inferring a directed, signed and weighted ecological network. This theory can reveal how and why gut microbes compete for resource (war) or cooperate symbiotically (peace) to reform and maintain the stability of microecological communities and predict microbial diversification, dynamics and evolution across host niches. The new theory is further incorporated into genome-wide association studies to map and identify host quantitative trait loci (QTLs) that modulate the alternative transition state of war and peace among bacteria. The discovery of such QTLs helps in designing personalized therapies that prevent microbial dysfunction to improve human health.

Suggested Citation

Jiang, Libo and Liu, Xinjuan and Sang, Mengmeng and Gan, Jingwen and Wang, Qian and Gragnoli, Claudia and Wu, Rongling, A Quantitative Theory of War and Peace in the Gut Microbiota (2018). Available at SSRN: https://ssrn.com/abstract=3155879 or http://dx.doi.org/10.2139/ssrn.3155879
This is a paper under consideration at Cell Press and has not been peer-reviewed.

Libo Jiang (Contact Author)

Beijing Forestry University - Center for Statistical Genetics

Beijing
China

Xinjuan Liu

Capital Medical University - Department of Gastroenterology

8 Gong Ti Nan Road
Beijing, 100020
China

Mengmeng Sang

Beijing Forestry University - Center for Statistical Genetics

Beijing
China

Jingwen Gan

Beijing Forestry University - Center for Statistical Genetics

Beijing
China

Qian Wang

Beijing Forestry University - Center for Statistical Genetics

Beijing
China

Claudia Gragnoli

Thomas Jefferson University - Division of Endocrinology, Diabetes & Metabolic Diseases

1025 Walnut St
Philadelphia, PA 19107
United States

Rongling Wu

Pennsylvania State University - Department of Public Health Sciences ( email )

700 HMC Crescent Road
Hershey, PA 17033
United States

Click here to go to Cell.com

Go to Cell.com

Paper statistics

Abstract Views
231
Downloads
12