Evidence map›Paper›PMID 33502659›Full record

ArticleBiotechnology letters2021

Quantitative proteomics implicates YggT in streptomycin resistance in Salmonella enterica serovar Enteritidis.

Yansheng Liang, Fengru Deng, Peiqiang Mu, Jikai Wen, Yiqun Deng

Abstract read
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In one paragraph

Article in Biotechnology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Characterization of clumpy adhesion ofMicrobiology spectrum · 2024
    Article
  2. Antibiotic resistance: Time of synthesis in a post-genomic age.Computational and structural biotechnology journal · 2021
    Review
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

5 authors.

Yansheng Liang *Guangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China.
Fengru Deng *Guangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China.
Peiqiang MuGuangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China.
Jikai WenGuangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China.
Yiqun DengGuangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China. yqdeng@scau.edu.cn.ORCID http://orcid.org/0000-0002-6838-3779

Funding

National Natural Science Foundation of China 31802246Science and Technology Program of Guangzhou 201804010207
6 · The paper itself

Abstract

objectivesTo identify proteins that may be associated with antibiotic resistance in the multidrug-resistant Salmonella enterica D14, by constructing proteomic profiles using mass spectrometry-based label-free quantitative proteomics (LFQP).

resultsD14 was cultured with four antibiotics (ampicillin, nalidixic acid, streptomycin, and tetracycline) separately. Subsequently, the findings from an equal combination of the four cultures were compared with the profile of sensitive S. enterica 104. 2255 proteins, including 149 differentially up-regulated proteins, were identified. Many of these up-regulated proteins were associated with flagellar assembly and chemotaxis, two-component system, amino acid metabolism, β-lactam resistance, and transmembrane transport. A subset of 10 genes was evaluated via quantitative real-time PCR (qPCR), followed by the construction of cheR, fliS, fliA, arnA, and yggT deletion mutants. Only the yggT-deleted D14 mutant showed decrease in streptomycin resistance, whereas the other deletions had no effect. Furthermore, complementation of yggT and the overexpression of yggT in S. enterica ATCC 14028 increased the streptomycin resistance. Additionally, spot dilution assay results confirmed that Salmonella strains, harboring yggT, exhibited an advantage in the presence of streptomycin.

conclusionsThe above proteomic and mutagenic analyses revealed that yggT is involved in streptomycin resistance in S. enterica.

Indexed as

Drug Resistance, Multiple, BacterialBacterial ProteinsChromatography, LiquidGene Expression Regulation, BacterialMicrobial Sensitivity TestsMutationProteomicsSalmonella enteritidisStreptomycinTandem Mass SpectrometryBacterial ProteinsStreptomycinAntibiotic resistanceLabel-free quantitative proteomicsSalmonellaYggT

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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.