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Science
Article
Data sources: UnpayWall
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Science
Article . 2018 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1101/205831...
Article . 2017 . Peer-reviewed
Data sources: Crossref
Science
Article . 2018
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Emergent simplicity in microbial community assembly

Authors: Joshua E. Goldford; Nanxi Lu; Djordje Bajić; Sylvie Estrela; Mikhail Tikhonov; Alicia Sanchez-Gorostiaga; Daniel Segrè; +2 Authors

Emergent simplicity in microbial community assembly

Abstract

Interchanging species of similar function Under natural conditions, bacteria form mixed, interacting communities. Understanding how such communities assemble and stabilize is important in a range of contexts, from biotechnological applications to what happens in our guts. Goldford et al. sampled the microbial communities from soil and plants containing hundreds to thousands of sequence variants. The organisms were passaged after culture in low concentrations of single carbon sources and were cross-fed with each other's metabolites; then, the resulting communities were sequenced using 16S ribosomal RNA, and the outcomes were modeled mathematically. The mix of species that survived under steady conditions converged reproducibly to reflect the experimentally imposed conditions rather than the mix of species initially inoculated—although at coarse phylogenetic levels, taxonomic patterns persisted. Science , this issue p. 469

Country
United States
Keywords

570, Soil microbiology, Bacteria, Microbial consortia, Microbial Consortia, 500, Plants, Science & technology, Soil Microbiology

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    843
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
843
Top 0.1%
Top 1%
Top 0.1%
Green
bronze