Evidence map›Paper›PMID 32699020›Full record

ArticleGenome research2020

Independent evolution of transcript abundance and gene regulatory dynamics.

Gat Krieger, Offir Lupo, Avraham A Levy, Naama Barkai

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. Article
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  6. bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Review
  9. Mechanisms of regulatory evolution in yeast.Current opinion in genetics & development · 2022
    Review
  10. Article
  11. Article
  12. Review
  13. 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 at 1 institution in 1 country.

Gat KriegerDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.
Offir LupoDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.
Avraham A LevyDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.
Naama BarkaiDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.
Weizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in gene expression drive novel phenotypes, raising interest in how gene expression evolves. In contrast to the static genome, cells modulate gene expression in response to changing environments. Previous comparative studies focused on specific conditions, describing interspecies variation in expression levels, but providing limited information about variation across different conditions. To close this gap, we profiled mRNA levels of two related yeast species in hundreds of conditions and used coexpression analysis to distinguish variation in the dynamic pattern of gene expression from variation in expression levels. The majority of genes whose expression varied between the species maintained a conserved dynamic pattern. Cases of diverged dynamic pattern correspond to genes that were induced under distinct subsets of conditions in the two species. Profiling the interspecific hybrid allowed us to distinguish between genes with predominantly

Indexed as

Evolution, MolecularGene Expression Regulation, FungalAmmonia-LyasesGene Expression ProfilingRNA, MessengerSaccharomycesSaccharomyces cerevisiaeSpecies SpecificityTranscriptomeAmmonia-LyasesRNA, Messenger

Identifiers

PMID32699020
PMCPMC7397873
OpenAlexW3044110744

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.