Searching the Resource Information Network

Our searching services are busy right now. Please try again later

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Gut-associated functions are favored during microbiome assembly across a major part of C. elegans life.

Johannes Zimmermann | Agnes Piecyk | Michael Sieber | Carola Petersen | Julia Johnke | Lucas Moitinho-Silva | Sven Künzel | Lena Bluhm | Arne Traulsen | Christoph Kaleta | Hinrich Schulenburg
mBio | 2024

The microbiome expresses a variety of functions that influence host biology. The range of functions depends on the microbiome's composition, which can change during the host's lifetime due to neutral assembly processes, host-mediated selection, and environmental conditions. To date, the exact dynamics of microbiome assembly, the underlying determinants, and the effects on host-associated functions remain poorly understood. Here, we used the nematode Caenorhabditis elegans and a defined community of fully sequenced, naturally associated bacteria to study microbiome dynamics and functions across a major part of the worm's lifetime of hosts under controlled experimental conditions. Bacterial community composition initially shows strongly declining levels of stochasticity, which increases during later time points, suggesting selective effects in younger animals as opposed to more random processes in older animals. The adult microbiome is enriched in genera Ochrobactrum and Enterobacter compared to the direct substrate and a host-free control environment. Using pathway analysis, metabolic, and ecological modeling, we further find that the lifetime assembly dynamics increase competitive strategies and gut-associated functions in the host-associated microbiome, indicating that the colonizing bacteria benefit the worm. Overall, our study introduces a framework for studying microbiome assembly dynamics based on stochastic, ecological, and metabolic models, yielding new insights into the processes that determine host-associated microbiome composition and function.

Pubmed ID: 38634692

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: Deutsche Forschungsgemeinschaft (DFG),
    Id: 261376515
  • Agency: Deutsche Forschungsgemeinschaft (DFG),
    Id: 261376515
  • Agency: Deutsche Forschungsgemeinschaft (DFG),
    Id: 261376515

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


QUAST (tool)

RRID:SCR_001228

Quality assessment software tool for evaluating and comparing genome assemblies. It works both with and without a given reference genome. It produces many reports, summary tables and plots.

View all literature mentions

MaSuRCA (tool)

RRID:SCR_010691

A whole genome assembly software that combines the efficiency of the de Bruijn graph and Overlap-Layout-Consensus (OLC) approaches.

View all literature mentions

dbCAN (tool)

RRID:SCR_013208

A web server and DataBase for automated Carbohydrate-active enzyme ANnotation, funded by the BioEnergy Science Center of the DOE.

View all literature mentions

FactoMineR (tool)

RRID:SCR_014602

Software R package for multivariate analysis which takes into account different types of data structure. Data can be organized in groups of variable, groups of individuals, or into hierarchy of variables.

View all literature mentions

DESeq2 (tool)

RRID:SCR_015687

Software package for differential gene expression analysis based on the negative binomial distribution. Used for analyzing RNA-seq data for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates.

View all literature mentions