2024
DOI: 10.1007/s00248-024-02370-7
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Modeling Microbial Community Networks: Methods and Tools for Studying Microbial Interactions

Shanchana Srinivasan,
Apoorva Jnana,
Thokur Sreepathy Murali

Abstract: Microbial interactions function as a fundamental unit in complex ecosystems. By characterizing the type of interaction (positive, negative, neutral) occurring in these dynamic systems, one can begin to unravel the role played by the microbial species. Towards this, various methods have been developed to decipher the function of the microbial communities. The current review focuses on the various qualitative and quantitative methods that currently exist to study microbial interactions. Qualitative methods such … Show more

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Cited by 7 publications
(1 citation statement)
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“…Direct pathogen detection confirms the association with diseases by detecting pathogenic microbes in patient samples 50 ; microbiome studies utilize high‐throughput sequencing technologies to compare microbial composition differences between patients and healthy control groups 51 ; while host–microbe interaction network analysis constructs interaction networks by integrating host and microbiome data. 52 However, these methods also have some limitations. For instance, direct pathogen detection may overlook some potential microbial pathogenic factors, microbiome studies are limited by sample quantity and quality, and the complexity of host–microbe interaction network analysis may result in difficulties in interpreting the results.…”
Section: Introductionmentioning
confidence: 99%
“…Direct pathogen detection confirms the association with diseases by detecting pathogenic microbes in patient samples 50 ; microbiome studies utilize high‐throughput sequencing technologies to compare microbial composition differences between patients and healthy control groups 51 ; while host–microbe interaction network analysis constructs interaction networks by integrating host and microbiome data. 52 However, these methods also have some limitations. For instance, direct pathogen detection may overlook some potential microbial pathogenic factors, microbiome studies are limited by sample quantity and quality, and the complexity of host–microbe interaction network analysis may result in difficulties in interpreting the results.…”
Section: Introductionmentioning
confidence: 99%