Evidence map›Paper›PMID 30470754›Full record

ArticleNature communications2018

Comparative expression profiling reveals widespread coordinated evolution of gene expression across eukaryotes.

Trevor Martin, Hunter B Fraser

Abstract readComparative Study
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Beyond the Classics: The Synergy of AI and Genomics Reveals an Expanded Repertoire of Pigmentation Genes.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Expression and Immune Response Profiles in Nile Tilapia (International journal of molecular sciences · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Modular Evolution of the Drosophila Metabolome.Molecular biology and evolution · 2022
    Article
  10. Article
  11. Article
  12. Article
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  14. 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

2 authors.

Trevor MartinDepartment of Biology, Stanford University, Stanford, CA, 94305, USA.
Hunter B FraserDepartment of Biology, Stanford University, Stanford, CA, 94305, USA. hbfraser@stanford.edu.

Funding

Yeast as a model for understanding gene expression adaptationR01GM097171 · NIGMS · STANFORD UNIVERSITY · PI FRASER, HUNTER B · 2012 to 2024
$4.2M
NIGMS NIH HHS R01 GM097171
6 · The paper itself

Abstract

Comparative studies of gene expression across species have revealed many important insights, but have also been limited by the number of species represented. Here we develop an approach to identify orthologs between highly diverged transcriptome assemblies, and apply this to 657 RNA-seq gene expression profiles from 309 diverse unicellular eukaryotes. We analyzed the resulting data for coevolutionary patterns, and identify several hundred protein complexes and pathways whose expression levels have evolved in a coordinated fashion across the trillions of generations separating these species, including many gene sets with little or no within-species co-expression across environmental or genetic perturbations. We also detect examples of adaptive evolution, for example of tRNA ligase levels to match genome-wide codon usage. In sum, we find that comparative studies from extremely diverse organisms can reveal new insights into the evolution of gene expression, including coordinated evolution of some of the most conserved protein complexes in eukaryotes.

Indexed as

Evolution, MolecularAnimalsCodonEukaryotaGene Expression ProfilingHumansPhylogenyTranscriptomeCodon

Identifiers

PMID30470754
PMCPMC6251915

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.