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  Neutrality in the metaorganism

Sieber, M., Pita, L., Weiland-Bräuer, N., Dirksen, P., Wang, J., Mortzfeld, B., et al. (2019). Neutrality in the metaorganism. bioRxiv. doi:10.1101/367243.

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Sieber, Michael1, Autor           
Pita, Lucía, Autor
Weiland-Bräuer, Nancy, Autor
Dirksen, Philipp2, Autor           
Wang, Jun, Autor
Mortzfeld, Benedikt, Autor
Franzenburg, Sören, Autor
Schmitz, Ruth A., Autor
Baines, John F.3, Autor           
Fraune, Sebastian, Autor
Hentschel, Ute, Autor
Schulenburg, Hinrich2, Autor           
Bosch, Thomas C. G., Autor
Traulsen, Arne1, Autor           
Affiliations:
1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              
2Max Planck Fellow Group Antibiotic Resistance Evolution, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_2600692              
3Guest Group Evolutionary Genomics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445638              

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 Zusammenfassung: 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 which 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.

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Sprache(n): eng - English
 Datum: 2019-05-04
 Publikationsstatus: Online veröffentlicht
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 Identifikatoren: DOI: 10.1101/367243
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Titel: bioRxiv
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