Evidence map›Paper›PMID 30467356›Full record

ArticleScientific reports2018

Alleles of a gene differ in pleiotropy, often mediated through currency metabolite production, in E. coli and yeast metabolic simulations.

Deya Alzoubi, Abdelmoneim Amer Desouki, Martin J Lercher

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Deya AlzoubiInstitute for Computer Science and Department of Biology, Heinrich Heine University, Universitätsstraße 1, Düsseldorf, D-40221, Germany.
Abdelmoneim Amer DesoukiInstitute for Computer Science and Department of Biology, Heinrich Heine University, Universitätsstraße 1, Düsseldorf, D-40221, Germany.
Martin J LercherInstitute for Computer Science and Department of Biology, Heinrich Heine University, Universitätsstraße 1, Düsseldorf, D-40221, Germany. martin.lercher@hhu.de.ORCID http://orcid.org/0000-0003-3940-1621
Heinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major obstacle to the mapping of genotype-phenotype relationships is pleiotropy, the tendency of mutations to affect seemingly unrelated traits. Pleiotropy has major implications for evolution, development, ageing, and disease. Except for disease data, pleiotropy is almost exclusively estimated from full gene knockouts. However, most deleterious alleles segregating in natural populations do not fully abolish gene function, and the degree to which a polymorphism reduces protein function may influence the number of traits it affects. Utilizing genome-scale metabolic models for Escherichia coli and Saccharomyces cerevisiae, we show that most fitness-reducing full gene knockouts of metabolic genes in these fast-growing microbes have pleiotropic effects, i.e., they compromise the production of multiple biomass components. Alleles of the same metabolic enzyme-encoding gene with increasingly reduced enzymatic function typically affect an increasing number of biomass components. This increasing pleiotropy is often mediated through effects on the generation of currency metabolites such as ATP or NADPH. We conclude that the physiological effects observed in full gene knockouts of metabolic genes will in most cases not be representative for alleles with only partially reduced enzyme capacity or expression level.

Indexed as

Genetic PleiotropyMetabolic Networks and PathwaysAdenosine TriphosphateAllelesBiological EvolutionBiomassEscherichia coliEscherichia coli ProteinsGene Knockout TechniquesGenetic FitnessModels, GeneticMutationNADPSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsAdenosine TriphosphateEscherichia coli ProteinsNADPSaccharomyces cerevisiae Proteins

Identifiers

PMID30467356
PMCPMC6250661
OpenAlexW2900916244

What OpenQuestion holds

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LicenceCC BY
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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.