Quantifying the roles of immigration and chance in shaping prokaryote community structure
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Abstract
Naturally occurring populations of bacteria and archaea are vital to life on the earth and are of enormous practical significance in medicine, engineering and agriculture. However, the rules governing the formation of such communities are still poorly understood, and there is a need for a usable mathematical description of this process. Typically, microbial community structure is thought to be shaped mainly by deterministic factors such as competition and niche differentiation. Here we show, for a wide range of prokaryotic communities, that the relative abundance and frequency with which different taxa are observed in samples can be explained by a neutral community model (NCM). The NCM, which is a stochastic, birth-death immigration process, does not explicitly represent the deterministic factors and therefore cannot be a complete or literal description of community assembly. However, its success suggests that chance and immigration are important forces in shaping the patterns seen in prokaryotic communities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Environmental Microbiology
- Topic
- Microbial Community Ecology and Physiology
- Field
- Environmental Science
- Canadian institutions
- —
- Funders
- Engineering and Physical Sciences Research CouncilMcGill University
- Keywords
- BiologyEcologyCommunity structureCompetition (biology)Process (computing)ImmigrationRange (aeronautics)TaxonProkaryoteArchaeaEvolutionary biologyLawComputer scienceBacteria
- Has abstract in OpenAlex
- yes