Evidence map›Paper›PMID 26098117›Full record

ArticlePloS one2015

Changes in the Acetylome and Succinylome of Bacillus subtilis in Response to Carbon Source.

Saori Kosono, Masaru Tamura, Shota Suzuki, Yumi Kawamura, Ayako Yoshida, Makoto Nishiyama, Minoru Yoshida

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

73 citing papers in PubMed, 126 citations in OpenAlex.

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  6. Staying in the loop to make ends meet: roles and regulation of GlmR inbioRxiv : the preprint server for biology · 2025
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  10. Review
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  13. Bacterial protein acetylation: mechanisms, functions, and methods for study.Frontiers in cellular and infection microbiology · 2024
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Acetylome and Succinylome Profiling ofAntibiotics (Basel, Switzerland) · 2022
    Article
  20. Contribution of NmSystems · 2021
    Article

13 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Saori KosonoBiotechnology Research Center, the University of Tokyo, Bunkyo-ku, Tokyo, Japan; RIKEN Center for Sustainable Resource Science, Wako, Saitama, Japan.
Masaru TamuraBiotechnology Research Center, the University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Shota SuzukiBiotechnology Research Center, the University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Yumi KawamuraRIKEN Center for Sustainable Resource Science, Wako, Saitama, Japan.
Ayako YoshidaBiotechnology Research Center, the University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Makoto NishiyamaBiotechnology Research Center, the University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Minoru YoshidaRIKEN Center for Sustainable Resource Science, Wako, Saitama, Japan.
The University of Tokyo · JPRIKEN Center for Sustainable Resource Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lysine residues can be post-translationally modified by various acyl modifications in bacteria and eukarya. Here, we showed that two major acyl modifications, acetylation and succinylation, were changed in response to the carbon source in the Gram-positive model bacterium Bacillus subtilis. Acetylation was more common when the cells were grown on glucose, glycerol, or pyruvate, whereas succinylation was upregulated when the cells were grown on citrate, reflecting the metabolic states that preferentially produce acetyl-CoA and succinyl-CoA, respectively. To identify and quantify changes in acetylation and succinylation in response to the carbon source, we performed a stable isotope labeling by amino acids in cell culture (SILAC)-based quantitative proteomic analysis of cells grown on glucose or citrate. We identified 629 acetylated proteins with 1355 unique acetylation sites and 204 succinylated proteins with 327 unique succinylation sites. Acetylation targeted different metabolic pathways under the two growth conditions: branched-chain amino acid biosynthesis and purine metabolism in glucose and the citrate cycle in citrate. Succinylation preferentially targeted the citrate cycle in citrate. Acetylation and succinylation mostly targeted different lysine residues and showed a preference for different residues surrounding the modification sites, suggesting that the two modifications may depend on different factors such as characteristics of acyl-group donors, molecular environment of the lysine substrate, and/or the modifying enzymes. Changes in acetylation and succinylation were observed in proteins involved in central carbon metabolism and in components of the transcription and translation machineries, such as RNA polymerase and the ribosome. Mutations that modulate protein acylation affected B. subtilis growth. A mutation in acetate kinase (ackA) increased the global acetylation level, suggesting that acetyl phosphate-dependent acetylation is common in B. subtilis, just as it is in Escherichia coli. Our results suggest that acyl modifications play a role in the physiological adaptations to changes in carbon nutrient availability of B. subtilis.

Indexed as

AcetylationAcetyl Coenzyme AAcyl Coenzyme AAmino Acids, Branched-ChainBacillus subtilisBlotting, WesternCarbonCitric AcidGene Expression Regulation, BacterialLysineMass SpectrometryMetabolic Networks and PathwaysProteomicsPurinesSuccinic AcidAcetyl Coenzyme AAcyl Coenzyme AAmino Acids, Branched-ChainCarbonCitric AcidLysinepurinePurinesSuccinic Acidsuccinyl-coenzyme A

Identifiers

PMID26098117
PMCPMC4476798
OpenAlexW805633396

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.