Evidence map›Paper›PMID 39095345›Full record

ArticleNature communications2024

Phenotypic heterogeneity follows a growth-viability tradeoff in response to amino acid identity.

Kiyan Shabestary, Cinzia Klemm, Benedict Carling, James Marshall, Juline Savigny, Marko Storch, Rodrigo Ledesma-Amaro

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

7 authors.

Kiyan ShabestaryDepartment of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK. k.shabestary@imperial.ac.uk.ORCID 0000-0002-4207-0547
Cinzia KlemmDepartment of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.
Benedict CarlingDepartment of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0001-7353-2444
James MarshallDepartment of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0002-8948-5571
Juline SavignyDepartment of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.
Marko StorchLondon Biofoundry, Imperial College Translation & Innovation Hub, London, UK.ORCID 0000-0003-1503-8282
Rodrigo Ledesma-AmaroDepartment of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK. r.ledesma-amaro@imperial.ac.uk.ORCID 0000-0003-2631-5898

Funding

European Molecular Biology Organization (EMBO) European Molecular Biology Organization (EMBO) (ALTF 769-2021)RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/R01602X/1, BB/T013176/1, BB/T011408/1 - 19-ERACoBioTech- 33 SyCoLim
6 · The paper itself

Abstract

In their natural environments, microorganisms mainly operate at suboptimal growth conditions with fluctuations in nutrient abundance. The resulting cellular adaptation is subject to conflicting tasks: growth or survival maximisation. Here, we study this adaptation by systematically measuring the impact of a nitrogen downshift to 24 nitrogen sources on cellular metabolism at the single-cell level. Saccharomyces lineages grown in rich media and exposed to a nitrogen downshift gradually differentiate to form two subpopulations of different cell sizes where one favours growth while the other favours viability with an extended chronological lifespan. This differentiation is asymmetrical with daughter cells representing the new differentiated state with increased viability. We characterise the metabolic response of the subpopulations using RNA sequencing, metabolic biosensors and a transcription factor-tagged GFP library coupled to high-throughput microscopy, imaging more than 800,000 cells. We find that the subpopulation with increased viability is associated with a dormant quiescent state displaying differences in MAPK signalling. Depending on the identity of the nitrogen source present, differentiation into the quiescent state can be actively maintained, attenuated, or aborted. These results establish amino acids as important signalling molecules for the formation of genetically identical subpopulations, involved in chronological lifespan and growth rate determination.

Indexed as

Amino AcidsNitrogenPhenotypeSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSingle-Cell AnalysisAmino AcidsNitrogenSaccharomyces cerevisiae Proteins

Identifiers

PMID39095345
PMCPMC11297284

What Socratic 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 Socratic graph.