Evidence map›Paper›PMID 24700775›Full record

ArticleMicrobiologyOpen2014

Strain-specific nuclear genetic background differentially affects mitochondria-related phenotypes in Saccharomyces cerevisiae.

Arianna Montanari, Silvia Francisci, Mario Fazzi D'Orsi, Michele Maria Bianchi

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2014. 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
–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

3 citing papers in PubMed.

  1. Specificity Determination inMicroorganisms · 2021
    Article
  2. Biolistic Approach for Transient Gene Expression Studies in Plants.Methods in molecular biology (Clifton, N.J.) · 2020
    Review
  3. 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.

Arianna MontanariDepartment of Biology and Biotechnologies "C. Darwin", Sapienza University of Rome, Piazzale A. Moro 5, Rome, 00185, Italy; Pasteur Institute-Cenci Bolognetti Foundation, Sapienza University of Rome, Piazzale A. Moro 5, Rome, 00185, Italy.
Silvia Francisci
Mario Fazzi D'Orsi
Michele Maria Bianchi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the course of our studies on mitochondrial defects, we have observed important phenotypic variations in Saccharomyces cerevisiae strains suggesting that a better characterization of the genetic variability will be essential to define the relationship between the mitochondrial efficiency and the presence of different nuclear backgrounds. In this manuscript, we have extended the study of such relations by comparing phenotypic assays related to mitochondrial functions of three wild-type laboratory strains. In addition to the phenotypic variability among the wild-type strains, important differences have been observed among strains bearing identical mitochondrial tRNA mutations that could be related only to the different nuclear background of the cells. Results showed that strains exhibited an intrinsic variability in the severity of the effects of the mitochondrial mutations and that specific strains might be used preferentially to evaluate the phenotypic effect of mitochondrial mutations on carbon metabolism, stress responses, and mitochondrial DNA stability. In particular, while W303-1B and MCC123 strains should be used to study the effect of severe mitochondrial tRNA mutations, D273-10B/A1 strain is rather suitable for studying the effects of milder mutations.

Indexed as

Genes, FungalGenetic VariationCarbonGenes, MitochondrialGenomic InstabilityMitochondriaMutationPhenotypeRNA, TransferSaccharomyces cerevisiaeStress, PhysiologicalCarbonRNA, TransferDiseasesnuclear backgroundoxidative stressrespirationyeast model

Identifiers

PMID24700775
PMCPMC4082703

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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.