Connect the dots: sketching out microbiome interactions through networking approaches.
Microbial networks
community modeling
ecological networks
network approaches
network interaction
network topology
shotgun metagenomics
Journal
Microbiome research reports
ISSN: 2771-5965
Titre abrégé: Microbiome Res Rep
Pays: United States
ID NLM: 9918681186206676
Informations de publication
Date de publication:
2023
2023
Historique:
received:
14
04
2023
revised:
05
07
2023
accepted:
12
07
2023
medline:
7
12
2023
pubmed:
7
12
2023
entrez:
7
12
2023
Statut:
epublish
Résumé
Microbiome networking analysis has emerged as a powerful tool for studying the complex interactions among microorganisms in various ecological niches, including the human body and several environments. This analysis has been used extensively in both human and environmental studies, revealing key taxa and functional units peculiar to the ecosystem considered. In particular, it has been mainly used to investigate the effects of environmental stressors, such as pollution, climate change or therapies, on host-associated microbial communities and ecosystem function. In this review, we discuss the latest advances in microbiome networking analysis, including methods for constructing and analyzing microbiome networks, and provide a case study on how to use these tools. These analyses typically involve constructing a network that represents interactions among microbial taxa or functional units, such as genes or metabolic pathways. Such networks can be based on a variety of data sources, including 16S rRNA sequencing, metagenomic sequencing, and metabolomics data. Once constructed, these networks can be analyzed to identify key nodes or modules important for the stability and function of the microbiome. By providing insights into essential ecological features of microbial communities, microbiome networking analysis has the potential to transform our understanding of the microbial world and its impact on human health and the environment.
Identifiants
pubmed: 38058764
doi: 10.20517/mrr.2023.25
pmc: PMC10696587
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
25Informations de copyright
© The Author(s) 2023.
Déclaration de conflit d'intérêts
The authors declare no conflicts of interest.
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