Evidence map›Paper›PMID 25626068›Full record

ArticlePLoS biology2015

Natural variation in preparation for nutrient depletion reveals a cost-benefit tradeoff.

Jue Wang, Esha Atolia, Bo Hua, Yonatan Savir, Renan Escalante-Chong, Michael Springer

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% of its field
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

72 citing papers in PubMed, 1 synthesis or guideline pooled it, 139 citations in OpenAlex.

  1. Pooled it
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  11. Inducible CRISPR-targeted "knockdown" of human gutProceedings of the National Academy of Sciences of the United States of America · 2023
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12 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Jue WangDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America; Systems Biology Graduate Program, Harvard University, Cambridge, Massachusetts, United States of America.
Esha AtoliaDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Bo HuaDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America; Systems Biology Graduate Program, Harvard University, Cambridge, Massachusetts, United States of America.
Yonatan SavirDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Renan Escalante-ChongDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America; Systems Biology Graduate Program, Harvard University, Cambridge, Massachusetts, United States of America.
Michael SpringerDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Center for Systems Biology · USHarvard University · US

Funding

Harvard Systems Biology Graduate ProgramT32GM080177 · NIGMS · HARVARD UNIVERSITY · PI MITCHISON, TIMOTHY J, MURRAY, ANDREW W · 2010 to 2019
$2.8M
NIGMS NIH HHS GM080177NIGMS NIH HHS T32 GM080177
6 · The paper itself

Abstract

Maximizing growth and survival in the face of a complex, time-varying environment is a common problem for single-celled organisms in the wild. When offered two different sugars as carbon sources, microorganisms first consume the preferred sugar, then undergo a transient growth delay, the "diauxic lag," while inducing genes to metabolize the less preferred sugar. This delay is commonly assumed to be an inevitable consequence of selection to maximize use of the preferred sugar. Contrary to this view, we found that many natural isolates of Saccharomyces cerevisiae display short or nonexistent diauxic lags when grown in mixtures of glucose (preferred) and galactose. These strains induce galactose utilization (GAL) genes hours before glucose exhaustion, thereby "preparing" for the transition from glucose to galactose metabolism. The extent of preparation varies across strains, and seems to be determined by the steady-state response of GAL genes to mixtures of glucose and galactose rather than by induction kinetics. Although early GAL gene induction gives strains a competitive advantage once glucose runs out, it comes at a cost while glucose is still present. Costs and benefits correlate with the degree of preparation: strains with higher expression of GAL genes prior to glucose exhaustion experience a larger upfront growth cost but also a shorter diauxic lag. Our results show that classical diauxic growth is only one extreme on a continuum of growth strategies constrained by a cost-benefit tradeoff. This type of continuum is likely to be common in nature, as similar tradeoffs can arise whenever cells evolve to use mixtures of nutrients.

Indexed as

Gene Expression Regulation, FungalCarbohydrate MetabolismCulture MediaEnergy MetabolismGalactoseGenes, FungalGlucoseSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscriptional ActivationCulture MediaGalactoseGlucoseSaccharomyces cerevisiae Proteins

Identifiers

PMID25626068
PMCPMC4308108
OpenAlexW2139374470

What OpenQuestion holds

Textmetadata
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.