Modelling spatial patterns in host-associated microbial communities

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http://hdl.handle.net/10138/340338

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Ruuskanen , M O , Sommeria-Klein , G , Havulinna , A S , Niiranen , T J & Lahti , L 2021 , ' Modelling spatial patterns in host-associated microbial communities ' , Environmental Microbiology , vol. 23 , no. 5 , pp. 2374-2388 . https://doi.org/10.1111/1462-2920.15462

Title: Modelling spatial patterns in host-associated microbial communities
Author: Ruuskanen, Matti O.; Sommeria-Klein, Guilhem; Havulinna, Aki S.; Niiranen, Teemu J.; Lahti, Leo
Contributor organization: Medicum
Institute for Molecular Medicine Finland
Complex Disease Genetics
Helsinki Institute of Life Science HiLIFE
Date: 2021-05
Language: eng
Number of pages: 15
Belongs to series: Environmental Microbiology
ISSN: 1462-2912
DOI: https://doi.org/10.1111/1462-2920.15462
URI: http://hdl.handle.net/10138/340338
Abstract: Microbial communities exhibit spatial structure at different scales, due to constant interactions with their environment and dispersal limitation. While this spatial structure is often considered in studies focusing on free-living environmental communities, it has received less attention in the context of host-associated microbial communities or microbiota. The wider adoption of methods accounting for spatial variation in these communities will help to address open questions in basic microbial ecology as well as realize the full potential of microbiome-aided medicine. Here, we first overview known factors affecting the composition of microbiota across diverse host types and at different scales, with a focus on the human gut as one of the most actively studied microbiota. We outline a number of topical open questions in the field related to spatial variation and patterns. We then review the existing methodology for the spatial modelling of microbiota. We suggest that methodology from related fields, such as systems biology and macro-organismal ecology, could be adapted to obtain more accurate models of spatial structure. We further posit that methodological developments in the spatial modelling and analysis of microbiota could in turn broadly benefit theoretical and applied ecology and contribute to the development of novel industrial and clinical applications.
Subject: 11832 Microbiology and virology
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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