Network analysis methods for studying microbial communities: A mini review.

Microbial co-occurrence networks Microbial interactions Network analysis Trans-kingdom interactions

Journal

Computational and structural biotechnology journal
ISSN: 2001-0370
Titre abrégé: Comput Struct Biotechnol J
Pays: Netherlands
ID NLM: 101585369

Informations de publication

Date de publication:
2021
Historique:
received: 01 02 2021
revised: 01 05 2021
accepted: 01 05 2021
entrez: 7 6 2021
pubmed: 8 6 2021
medline: 8 6 2021
Statut: epublish

Résumé

Microorganisms including bacteria, fungi, viruses, protists and archaea live as communities in complex and contiguous environments. They engage in numerous inter- and intra- kingdom interactions which can be inferred from microbiome profiling data. In particular, network-based approaches have proven helpful in deciphering complex microbial interaction patterns. Here we give an overview of state-of-the-art methods to infer intra-kingdom interactions ranging from simple correlation- to complex conditional dependence-based methods. We highlight common biases encountered in microbial profiles and discuss mitigation strategies employed by different tools and their trade-off with increased computational complexity. Finally, we discuss current limitations that motivate further method development to infer inter-kingdom interactions and to robustly and comprehensively characterize microbial environments in the future.

Identifiants

pubmed: 34093985
doi: 10.1016/j.csbj.2021.05.001
pii: S2001-0370(21)00182-3
pmc: PMC8131268
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

2687-2698

Informations de copyright

© 2021 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Monica Steffi Matchado (MS)

Chair of Experimental Bioinformatics, Technical University of Munich, 85354 Freising, Germany.

Michael Lauber (M)

Chair of Experimental Bioinformatics, Technical University of Munich, 85354 Freising, Germany.

Sandra Reitmeier (S)

ZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany.
Chair of Nutrition and Immunology, Technical University of Munich, 85354 Freising, Germany.

Tim Kacprowski (T)

Division Data Science in Biomedicine, Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, 38106 Brunswick, Germany.
Braunschweig‌ ‌Integrated‌ ‌Centre‌ ‌of‌ ‌Systems‌ ‌Biology‌ ‌(BRICS),‌‌ 38106 Brunswick,‌ ‌Germany.

Jan Baumbach (J)

Institute of Mathematics and Computer Science, University of Southern Denmark, 5230 Odense, Denmark.
Chair of Computational Systems Biology, University of Hamburg, 22607 Hamburg, Germany.

Dirk Haller (D)

ZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany.
Chair of Nutrition and Immunology, Technical University of Munich, 85354 Freising, Germany.

Markus List (M)

Chair of Experimental Bioinformatics, Technical University of Munich, 85354 Freising, Germany.

Classifications MeSH