Evidence map›Paper›PMID 33563210›Full record

ArticleBMC genomics2021

Identification of novel genes involved in neutral lipid storage by quantitative trait loci analysis of Saccharomyces cerevisiae.

Klavdija Pačnik, Mojca Ogrizović, Matthias Diepold, Tobias Eisenberg, Mia Žganjar, Gašper Žun, Beti Kužnik, Cene Gostinčar, Tomaž Curk, Uroš Petrovič and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 9 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

11 authors at 3 institutions in 2 countries.

Klavdija PačnikInstitute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria.
Mojca OgrizovićDepartment of Molecular and Biomedical Sciences, Jožef Stefan Institute, Ljubljana, Slovenia.
Matthias DiepoldInstitute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria.
Tobias EisenbergInstitute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria.
Mia ŽganjarInstitute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria.
Gašper ŽunDepartment of Molecular and Biomedical Sciences, Jožef Stefan Institute, Ljubljana, Slovenia.
Beti KužnikDepartment of Molecular and Biomedical Sciences, Jožef Stefan Institute, Ljubljana, Slovenia.
Cene GostinčarDepartment of Molecular and Biomedical Sciences, Jožef Stefan Institute, Ljubljana, Slovenia.
Tomaž CurkFaculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.
Uroš Petrovič *Department of Molecular and Biomedical Sciences, Jožef Stefan Institute, Ljubljana, Slovenia. uros.petrovic@bf.uni-lj.si.
Klaus Natter *Institute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria. klaus.natter@uni-graz.at.ORCID http://orcid.org/0000-0002-4483-9321
University of Ljubljana · SIUniversity of Graz · ATJožef Stefan Institute · SI

Funding

Austrian Science Fund I2263-B21Austrian Science Fund FWF I 2263Javna Agencija za Raziskovalno Dejavnost RS P1-0207Javna Agencija za Raziskovalno Dejavnost RS P2-0209Javna Agencija za Raziskovalno Dejavnost RS (SI) N1-0034
6 · The paper itself

Abstract

backgroundThe accumulation of intracellular fat depots is a polygenic trait. Therefore, the extent of lipid storage in the individuals of a species covers a broad range and is determined by many genetic factors. Quantitative trait loci analysis can be used to identify those genetic differences between two strains of the same species that are responsible for the differences in a given phenotype. We used this method and complementary approaches to identify genes in the yeast Saccharomyces cerevisiae that are involved in neutral lipid storage.

resultsWe selected two yeast strains, the laboratory strain BY4741 and the wine yeast AWRI1631, with a more than two-fold difference in neutral lipid content. After crossing, sporulation and germination, we used fluorescence activated cell sorting to isolate a subpopulation of cells with the highest neutral lipid content from the pool of segregants. Whole genome sequencing of this subpopulation and of the unsorted pool of segregants implicated several loci that are involved in lipid accumulation. Three of the identified genes, PIG1, PHO23 and RML2, were investigated in more detail. Deletions of these genes and the exchange of the alleles between the two parental strains confirmed that the encoded proteins contribute to neutral lipid storage in S. cerevisiae and that PIG1, PHO23 and RML2 are the major causative genes. Backcrossing of one of the segregants with the parental strains for seven generations revealed additional regions in the genomes of both strains with potential causative genes for the high lipid accumulation phenotype.

conclusionsWe identified several genes that contribute to the phenotype of lipid accumulation in an allele-specific manner. Surprisingly, no allelic variations of genes with known functions in lipid metabolism were found, indicating that the level of storage lipid accumulation is determined by many cellular processes that are not directly related to lipid metabolism.

Indexed as

Saccharomyces cerevisiae ProteinsWineChromosome MappingHumansNuclear ProteinsQuantitative Trait LociSaccharomyces cerevisiaeNuclear ProteinsPho23 protein, S cerevisiaeSaccharomyces cerevisiae Proteinsbaker’s yeastlipid dropletlipid metabolismnatural variationpolygenic traitQTL analysissteryl esterstriacylglycerol

Identifiers

PMID33563210
PMCPMC7871550
OpenAlexW3128045175

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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.