Evidence map›Paper›PMID 38190385›Full record

ArticlePLoS computational biology2024

Plasticity of growth laws tunes resource allocation strategies in bacteria.

Avik Mukherjee, Yu-Fang Chang, Yanqing Huang, Nina Catherine Benites, Leander Ammar, Jade Ealy, Mark Polk, Markus Basan

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Avik MukherjeeDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0001-6190-5223
Yu-Fang ChangDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Yanqing HuangDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-6199-7540
Nina Catherine BenitesDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Leander AmmarDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0009-0005-8169-8483
Jade EalyDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Mark PolkDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Markus BasanDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-9396-521X
Harvard University · US

Funding

Elucidating physiology of dormant bacteria to combat antibiotic persistenceR35GM137895 · NIGMS · HARVARD MEDICAL SCHOOL · PI Markus Thomas Basan · 2020 to 2026
$3.2M
Harvard Systems Biology Graduate ProgramT32GM135014 · NIGMS · HARVARD UNIVERSITY · PI DESAI, MICHAEL M, KLEIN, ALLON MOSHE · 2020 to 2024
$1.6M
NIGMS NIH HHS R35 GM137895NIGMS NIH HHS T32 GM135014
6 · The paper itself

Abstract

Bacteria like E. coli grow at vastly different rates on different substrates, however, the precise reason for this variability is poorly understood. Different growth rates have been attributed to 'nutrient quality', a key parameter in bacterial growth laws. However, it remains unclear to what extent nutrient quality is rooted in fundamental biochemical constraints like the energy content of nutrients, the protein cost required for their uptake and catabolism, or the capacity of the plasma membrane for nutrient transporters. Here, we show that while nutrient quality is indeed reflected in protein investment in substrate-specific transporters and enzymes, this is not a fundamental limitation on growth rate, at least for certain 'poor' substrates. We show that it is possible to turn mannose, one of the 'poorest' substrates of E. coli, into one of the 'best' substrates by reengineering chromosomal promoters of the mannose transporter and metabolic enzymes required for mannose degradation. This result falls in line with previous observations of more subtle growth rate improvement for many other carbon sources. However, we show that this faster growth rate comes at the cost of diverse cellular capabilities, reflected in longer lag phases, worse starvation survival and lower motility. We show that addition of cAMP to the medium can rescue these phenotypes but imposes a corresponding growth cost. Based on these data, we propose that nutrient quality is largely a self-determined, plastic property that can be modulated by the fraction of proteomic resources devoted to a specific substrate in the much larger proteome sector of catabolically activated genes. Rather than a fundamental biochemical limitation, nutrient quality reflects resource allocation decisions that are shaped by evolution in specific ecological niches and can be quickly adapted if necessary.

Indexed as

Escherichia coliMannoseBacteriaEcosystemProteomicsMannose

Identifiers

PMID38190385
PMCPMC10798636
OpenAlexW4390660176

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.