Evidence map›Paper›PMID 27819317›Full record

ArticleScientific reports2016

Transcriptomic analysis on the formation of the viable putative non-culturable state of beer-spoilage Lactobacillus acetotolerans.

Junyan Liu, Yang Deng, Brian M Peters, Lin Li, Bing Li, Lequn Chen, Zhenbo Xu, Mark E Shirtliff

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
19.6field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Transcriptomic analysis ofFrontiers in microbiology · 2023
    Article
  6. Biofilm formation of two genetically diverseFrontiers in microbiology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Spoilage Lactic Acid Bacteria in the Brewing Industry.Journal of microbiology and biotechnology · 2020
    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

8 authors at 4 institutions in 2 countries.

Junyan LiuCollege of Food Science and Engineering, South China University of Technology, Guangzhou 510640, P.R. China.
Yang DengCollege of Food Science and Engineering, South China University of Technology, Guangzhou 510640, P.R. China.
Brian M PetersDepartment of Clinical Pharmacy, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Lin LiCollege of Food Science and Engineering, South China University of Technology, Guangzhou 510640, P.R. China.
Bing LiCollege of Food Science and Engineering, South China University of Technology, Guangzhou 510640, P.R. China.
Lequn ChenCollege of Food Science and Engineering, South China University of Technology, Guangzhou 510640, P.R. China.
Zhenbo XuCollege of Food Science and Engineering, South China University of Technology, Guangzhou 510640, P.R. China.
Mark E ShirtliffDepartment of Microbial Pathogenesis, School of Dentistry, University of Maryland, Baltimore MD 21201, USA.
Key Laboratory of Guangdong Province · CNSouth China University of Technology · CNUniversity of Maryland, Baltimore · USUniversity of Tennessee Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lactic acid bacteria (LAB) are the most common beer-spoilage bacteria regardless of beer type, and thus pose significant problems for the brewery industry. The aim of this study was to investigate the genetic mechanisms involved in the ability of the hard-to-culture beer-spoilage bacterium Lactobacillus acetotolerans to enter into the viable putative non-culturable (VPNC) state. A genome-wide transcriptional analysis of beer-spoilage L. acetotolerans strains BM-LA14526, BM-LA14527, and BM-LA14528 under normal, mid-term and VPNC states were performed using RNA-sequencing (RNA-seq) and further bioinformatics analyses. GO function, COG category, and KEGG pathway enrichment analysis were conducted to investigate functional and related metabolic pathways of the differentially expressed genes. Functional and pathway enrichment analysis indicated that heightened stress response and reduction in genes associated with transport, metabolic process, and enzyme activity might play important roles in the formation of the VPNC state. This is the first transcriptomic analysis on the formation of the VPNC state of beer spoilage L. acetotolerans.

Indexed as

Food MicrobiologyTranscriptomeBacteriaBeerCell SurvivalComputational BiologyDNA, ComplementaryGene Expression ProfilingGene Expression RegulationGene LibraryGenomeLactobacillusSequence Analysis, RNADNA, Complementary

Identifiers

PMID27819317
PMCPMC5098190
OpenAlexW2554245431

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.