Evidence map›Paper›PMID 33306797›Full record

ArticleMolecular biology and evolution2021

Suboptimal Global Transcriptional Response Increases the Harmful Effects of Loss-of-Function Mutations.

Károly Kovács, Zoltán Farkas, Djordje Bajić, Dorottya Kalapis, Andreea Daraba, Karola Almási, Bálint Kintses, Zoltán Bódi, Richard A Notebaart, Juan F Poyatos and 4 more

Open access · greenAbstract read
In one paragraph

Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

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  11. Dissecting the Fitness Costs of Complex Mutations.Molecular biology and evolution · 2021
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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

14 authors at 4 institutions in 3 countries.

Károly KovácsHCEMM-BRC Metabolic Systems Biology Lab, Szeged, Hungary.
Zoltán FarkasBiological Research Centre, Synthetic and Systems Biology Unit, Institute of Biochemistry, Szeged, Hungary.
Djordje BajićBiological Research Centre, Synthetic and Systems Biology Unit, Institute of Biochemistry, Szeged, Hungary.
Dorottya KalapisHCEMM-BRC Metabolic Systems Biology Lab, Szeged, Hungary.
Andreea DarabaBiological Research Centre, Synthetic and Systems Biology Unit, Institute of Biochemistry, Szeged, Hungary.
Karola AlmásiBiological Research Centre, Synthetic and Systems Biology Unit, Institute of Biochemistry, Szeged, Hungary.
Bálint KintsesBiological Research Centre, Synthetic and Systems Biology Unit, Institute of Biochemistry, Szeged, Hungary.
Zoltán BódiBiological Research Centre, Synthetic and Systems Biology Unit, Institute of Biochemistry, Szeged, Hungary.
Richard A NotebaartFood Microbiology, Wageningen University & Research, Wageningen, The Netherlands.
Juan F PoyatosLogic of Genomic Systems Laboratory, Department of Systems Biology, CNB-CSIC, Madrid, Spain.
Patrick KemmerenPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Frank C P HolstegePrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Csaba PálBiological Research Centre, Synthetic and Systems Biology Unit, Institute of Biochemistry, Szeged, Hungary.
Balázs PappHCEMM-BRC Metabolic Systems Biology Lab, Szeged, Hungary.
HUN-REN Szegedi Biológiai Kutatóközpont · HUPrincess Máxima Center · NLUniversity of Szeged · HUWageningen University & Research · NL

Funding

Wellcome TrustWellcome Trust 084314/Z/07/ZWellcome Trust 098016/Z/11/Z
6 · The paper itself

Abstract

The fitness impact of loss-of-function mutations is generally assumed to reflect the loss of specific molecular functions associated with the perturbed gene. Here, we propose that rewiring of the transcriptome upon deleterious gene inactivation is frequently nonspecific and mimics stereotypic responses to external environmental change. Consequently, transcriptional response to gene deletion could be suboptimal and incur an extra fitness cost. Analysis of the transcriptomes of ∼1,500 single-gene deletion Saccharomyces cerevisiae strains supported this scenario. First, most transcriptomic changes are not specific to the deleted gene but are rather triggered by perturbations in functionally diverse genes. Second, gene deletions that alter the expression of dosage-sensitive genes are especially harmful. Third, by elevating the expression level of downregulated genes, we could experimentally mitigate the fitness defect of gene deletions. Our work shows that rewiring of genomic expression upon gene inactivation shapes the harmful effects of mutations.

Indexed as

Gene Expression Regulation, FungalLoss of Function MutationGene DeletionSaccharomyces cerevisiaeTranscriptomefitness effect of mutationsgene deletiongene expression regulationgenotype–phenotype map

Identifiers

PMID33306797
PMCPMC7947755
OpenAlexW3097825150

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.