Evidence map›Paper›PMID 27711251›Full record

ArticlePloS one2016

A Comparison of the Costs and Benefits of Bacterial Gene Expression.

Morgan N Price, Kelly M Wetmore, Adam M Deutschbauer, Adam P Arkin

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Investigating the role of theFEMS microbes · 2025
    Article
  5. Article
  6. Metabolic Profile of the Genome-ReducedACS synthetic biology · 2024
    Article
  7. The Landscape and Perspectives of the Human Gut Metaproteomics.Molecular & cellular proteomics : MCP · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Frontiers in microbiology · 2022
    Article
  13. Review
  14. The size of the immune repertoire of bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Review
  16. Article
  17. Article
  18. Cellular trade-offs and optimal resource allocation during cyanobacterial diurnal growth.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  19. Article
  20. 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.

Morgan N PriceEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Lab, Berkeley, California, United States of America.ORCID http://orcid.org/0000-0002-4251-0362
Kelly M WetmoreEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Lab, Berkeley, California, United States of America.
Adam M DeutschbauerEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Lab, Berkeley, California, United States of America.
Adam P ArkinEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Lab, Berkeley, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To study how a bacterium allocates its resources, we compared the costs and benefits of most (86%) of the proteins in Escherichia coli K-12 during growth in minimal glucose medium. The cost or investment in each protein was estimated from ribosomal profiling data, and the benefit of each protein was measured by assaying a library of transposon mutants. We found that proteins that are important for fitness are usually highly expressed, and 95% of these proteins are expressed at above 13 parts per million (ppm). Conversely, proteins that do not measurably benefit the host (with a benefit of less than 5% per generation) tend to be weakly expressed, with a median expression of 13 ppm. In aggregate, genes with no detectable benefit account for 31% of protein production, or about 22% if we correct for genetic redundancy. Although some of the apparently unnecessary expression could have subtle benefits in minimal glucose medium, the majority of the burden is due to genes that are important in other conditions. We propose that at least 13% of the cell's protein is "on standby" in case conditions change.

Indexed as

Genes, BacterialDNA, RibosomalEscherichia coli K12Escherichia coli ProteinsGene Expression ProfilingGene Expression Regulation, BacterialGlucosePhenotypeProteomicsDNA, RibosomalEscherichia coli ProteinsGlucose

Identifiers

PMID27711251
PMCPMC5053530

What OpenQuestion holds

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LicenceCC BY
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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.