Evidence map›Paper›PMID 34781576›Full record

ArticlePhysical review. E2021

Enzyme regulation and mutation in a model serial-dilution ecosystem.

Amir Erez, Jaime G Lopez, Yigal Meir, Ned S Wingreen

Abstract read
In one paragraph

Article in Physical review. E, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Ecological diversification in rapidly evolving populations.bioRxiv : the preprint server for biology · 2025
    Article
  3. When is microbial cross-feeding evolutionarily stable?bioRxiv : the preprint server for biology · 2025
    Article
  4. Grow now, pay later: When should a bacterium go into debt?Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Amir ErezDepartment of Molecular Biology, Princeton University, Princeton, New Jersey 08544, USA.
Jaime G LopezLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, USA.
Yigal MeirDepartment of Physics, Ben Gurion University of the Negev, Beer Sheva 8410501, Israel.
Ned S WingreenDepartment of Molecular Biology, Princeton University, Princeton, New Jersey 08544, USA.

Funding

Thermally robust chemotaxis and thermotaxis in Escherichia coliR01GM082938 · NIGMS · PRINCETON UNIVERSITY · PI WINGREEN, NED S · 2008 to 2025
$5.5M
KITP Interdisciplinary Biology InitiativeR25GM067110 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI SHRAIMAN, BORIS I · 2003 to 2018
$1.8M
NIGMS NIH HHS R01 GM082938NIGMS NIH HHS R25 GM067110
6 · The paper itself

Abstract

Microbial communities are ubiquitous in nature and come in a multitude of forms, ranging from communities dominated by a handful of species to communities containing a wide variety of metabolically distinct organisms. This huge range in diversity is not a curiosity-microbial diversity has been linked to outcomes of substantial ecological and medical importance. However, the mechanisms underlying microbial diversity are still under debate, as simple mathematical models only permit as many species to coexist as there are resources. A plethora of mechanisms have been proposed to explain the origins of microbial diversity, but many of these analyses omit a key property of real microbial ecosystems: the propensity of the microbes themselves to change their growth properties within and across generations. In order to explore the impact of this key property on microbial diversity, we expand upon a recently developed model of microbial diversity in fluctuating environments. We implement changes in growth strategy in two distinct ways. First, we consider the regulation of a cell's enzyme levels within short, ecological times, and second we consider evolutionary changes driven by mutations across generations. Interestingly, we find that these two types of microbial responses to the environment can have drastically different outcomes. Enzyme regulation may collapse diversity over long enough times while, conversely, strategy-randomizing mutations can produce a "rich-get-poorer" effect that promotes diversity. This paper makes explicit, using a simple serial-dilutions framework, the conflicting ways that microbial adaptation and evolution can affect community diversity.

Indexed as

BiodiversityMicrobiotaModels, TheoreticalMutation

Identifiers

PMID34781576
PMCPMC12321084

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.