Evidence map›Paper›PMID 26560065›Full record

ArticleMolecular & cellular proteomics : MCP2016

Yeast Interspecies Comparative Proteomics Reveals Divergence in Expression Profiles and Provides Insights into Proteome Resource Allocation and Evolutionary Roles of Gene Duplication.

Keiji Kito, Haruka Ito, Takehiro Nohara, Mihoko Ohnishi, Yuko Ishibashi, Daisuke Takeda

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 17 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

6 authors at 1 institution in 1 country.

Keiji KitoFrom the ‡Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki, 214-8571, Japan kito@meiji.ac.jp.
Haruka ItoFrom the ‡Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki, 214-8571, Japan.
Takehiro NoharaFrom the ‡Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki, 214-8571, Japan.
Mihoko OhnishiFrom the ‡Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki, 214-8571, Japan.
Yuko IshibashiFrom the ‡Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki, 214-8571, Japan.
Daisuke TakedaFrom the ‡Department of Life Sciences, School of Agriculture, Meiji University, Kawasaki, 214-8571, Japan.
Meiji University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Omics analysis is a versatile approach for understanding the conservation and diversity of molecular systems across multiple taxa. In this study, we compared the proteome expression profiles of four yeast species (Saccharomyces cerevisiae, Saccharomyces mikatae, Kluyveromyces waltii, and Kluyveromyces lactis) grown on glucose- or glycerol-containing media. Conserved expression changes across all species were observed only for a small proportion of all proteins differentially expressed between the two growth conditions. Two Kluyveromyces species, both of which exhibited a high growth rate on glycerol, a nonfermentative carbon source, showed distinct species-specific expression profiles. In K. waltii grown on glycerol, proteins involved in the glyoxylate cycle and gluconeogenesis were expressed in high abundance. In K. lactis grown on glycerol, the expression of glycolytic and ethanol metabolic enzymes was unexpectedly low, whereas proteins involved in cytoplasmic translation, including ribosomal proteins and elongation factors, were highly expressed. These marked differences in the types of predominantly expressed proteins suggest that K. lactis optimizes the balance of proteome resource allocation between metabolism and protein synthesis giving priority to cellular growth. In S. cerevisiae, about 450 duplicate gene pairs were retained after whole-genome duplication. Intriguingly, we found that in the case of duplicates with conserved sequences, the total abundance of proteins encoded by a duplicate pair in S. cerevisiae was similar to that of protein encoded by nonduplicated ortholog in Kluyveromyces yeast. Given the frequency of haploinsufficiency, this observation suggests that conserved duplicate genes, even though minor cases of retained duplicates, do not exhibit a dosage effect in yeast, except for ribosomal proteins. Thus, comparative proteomic analyses across multiple species may reveal not only species-specific characteristics of metabolic processes under nonoptimal culture conditions but also provide valuable insights into intriguing biological principles, including the balance of proteome resource allocation and the role of gene duplication in evolutionary history.

Indexed as

Evolution, MolecularFungal ProteinsGene DuplicationGlucoseGlycerolKluyveromycesProteomeProteomicsSaccharomycesSaccharomyces cerevisiaeSpecies SpecificityTandem Mass SpectrometryFungal ProteinsGlucoseGlycerolProteome

Identifiers

PMID26560065
PMCPMC4762523
OpenAlexW2179959243

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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.