Evidence map›Paper›PMID 25535936›Full record

SynthesisThe ISME journal2015

Relationships between protein-encoding gene abundance and corresponding process are commonly assumed yet rarely observed.

Jennifer D Rocca, Edward K Hall, Jay T Lennon, Sarah E Evans, Mark P Waldrop, James B Cotner, Diana R Nemergut, Emily B Graham, Matthew D Wallenstein

Open access · bronzeAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in The ISME journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed
18.9field-weighted citation impact, top 1% 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

100 citing papers in PubMed, 358 citations in OpenAlex.

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  14. Review
  15. Article
  16. Circadian Control of Protein Synthesis.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article

40 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

9 authors at 6 institutions in 1 country.

Jennifer D RoccaNatural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, USA.
Edward K Hall1] Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, USA [2] US Geological Survey, Fort Collins, CO, USA.
Jay T LennonDepartment of Biology, Indiana University, Bloomington, IN, USA.
Sarah E EvansKellogg Biological Station, Department of Microbiology and Molecular Genetics, Michigan State University, Hickory Corners, MI, USA.
Mark P WaldropUS Geological Survey, Menlo Park, CA, USA.
James B CotnerDepartment of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, MN, USA.
Diana R NemergutDepartment of Biology, Duke University, Durham, NC, USA.
Emily B GrahamDepartment of Biology, Duke University, Durham, NC, USA.
Matthew D WallensteinNatural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, USA.
Colorado State University · USDuke University · USIndiana University Bloomington · USMichigan State University · USUnited States Geological Survey · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For any enzyme-catalyzed reaction to occur, the corresponding protein-encoding genes and transcripts are necessary prerequisites. Thus, a positive relationship between the abundance of gene or transcripts and corresponding process rates is often assumed. To test this assumption, we conducted a meta-analysis of the relationships between gene and/or transcript abundances and corresponding process rates. We identified 415 studies that quantified the abundance of genes or transcripts for enzymes involved in carbon or nitrogen cycling. However, in only 59 of these manuscripts did the authors report both gene or transcript abundance and rates of the appropriate process. We found that within studies there was a significant but weak positive relationship between gene abundance and the corresponding process. Correlations were not strengthened by accounting for habitat type, differences among genes or reaction products versus reactants, suggesting that other ecological and methodological factors may affect the strength of this relationship. Our findings highlight the need for fundamental research on the factors that control transcription, translation and enzyme function in natural systems to better link genomic and transcriptomic data to ecosystem processes.

Indexed as

BiocatalysisGene DosageTranscription, GeneticCarbonCatalysisDosage Compensation, GeneticEcosystemGene Expression ProfilingGene Expression Regulation, BacterialNitrogenCarbonNitrogen

Identifiers

PMID25535936
PMCPMC4511926
OpenAlexW2024344827

What OpenQuestion holds

Textmetadata
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.