Neutrality in the Metaorganism

Sieber, Michael and Pita, Lucía and Weiland-Bräuer, Nancy and Dirksen, Philipp and Wang, Jun and Mortzfeld, Benedikt and Franzenburg, Sören and Schmitz, Ruth A. and Baines, John F. and Fraune, Sebastian and Hentschel, Ute and Schulenburg, Hinrich and Bosch, Thomas C. G. and Traulsen, Arne and Gore, Jeff (2019) Neutrality in the Metaorganism. PLOS Biology, 17 (6). e3000298. ISSN 1545-7885

[thumbnail of file (3).pdf] Text
file (3).pdf - Published Version

Download (3MB)

Abstract

Almost all animals and plants are inhabited by diverse communities of microorganisms, the microbiota, thereby forming an integrated entity, the metaorganism. Natural selection should favor hosts that shape the community composition of these microbes to promote a beneficial host-microbe symbiosis. Indeed, animal hosts often pose selective environments, which only a subset of the environmentally available microbes are able to colonize. How these microbes assemble after colonization to form the complex microbiota is less clear. Neutral models are based on the assumption that the alternatives in microbiota community composition are selectively equivalent and thus entirely shaped by random population dynamics and dispersal. Here, we use the neutral model as a null hypothesis to assess microbiata composition in host organisms, which does not rely on invoking any adaptive processes underlying microbial community assembly. We show that the overall microbiota community structure from a wide range of host organisms, in particular including previously understudied invertebrates, is in many cases consistent with neutral expectations. Our approach allows to identify individual microbes that are deviating from the neutral expectation and are therefore interesting candidates for further study. Moreover, using simulated communities, we demonstrate that transient community states may play a role in the deviations from the neutral expectation. Our findings highlight that the consideration of neutral processes and temporal changes in community composition are critical for an in-depth understanding of microbiota-host interactions.

Item Type: Article
Subjects: GO for STM > Biological Science
Depositing User: Unnamed user with email support@goforstm.com
Date Deposited: 21 Jan 2023 06:48
Last Modified: 11 Oct 2023 03:57
URI: http://archive.article4submit.com/id/eprint/105

Actions (login required)

View Item
View Item