English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  The effect of microbial selection on the occurrence-abundance patterns of microbiomes

Zapién-Campos, R., Sieber, M., & Traulsen, A. (in preparation). The effect of microbial selection on the occurrence-abundance patterns of microbiomes.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Zapién-Campos, Román1, 2, Author              
Sieber, Michael1, Author              
Traulsen, Arne1, Author              
Affiliations:
1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              
2IMPRS for Evolutionary Biology, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445639              

Content

show
hide
Free keywords: -
 Abstract: Theoretical models are useful to investigate the drivers of community dynamics. Notable are models that consider the events of death, birth, and immigration of individuals assuming they only depend on their abundance – thus, all types share the same parameters. The community level expectations arising from these simple models and their agreement to empirical data have been discussed extensively, often suggesting that in nature, rates might indeed be neutral or their differences not important. But, how robust are these model predictions to type-specific rates? And, what are the consequences at the level of types? Here, we address these questions moving from simple to diverse communities. For this, we build a model where types are differently adapted to the environment. We adapt a computational method from the literature to compute equilibrium distributions of the abundance. Then, we look into the occurrence-abundance pattern often reported in microbial communities. We observe that large immigration and biodiversity – common in microbial systems – lead to such patterns, regardless of whether the rates are neutral or non-neutral. We conclude by discussing the implications to interpret and test empirical data.Competing Interest StatementThe authors have declared no competing interest.

Details

show
hide
Language(s):
 Dates: 2021-09-02
 Publication Status: Not specified
 Pages: 24
 Publishing info: -
 Table of Contents: -
 Rev. Type: No review
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: bioRxiv
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -