Evidence map›Paper›PMID 27462311›Full record

ArticleFrontiers in microbiology2016

Whole-Transcriptome Analysis of Verocytotoxigenic Escherichia coli O157:H7 (Sakai) Suggests Plant-Species-Specific Metabolic Responses on Exposure to Spinach and Lettuce Extracts.

Louise Crozier, Pete E Hedley, Jenny Morris, Carol Wagstaff, Simon C Andrews, Ian Toth, Robert W Jackson, Nicola J Holden

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
10.3field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 46 citations in OpenAlex.

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  9. The role of l-arabinose metabolism forMicrobiology (Reading, England) · 2021
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  11. International journal of molecular sciences · 2020
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  12. The Role of Pea (Microorganisms · 2020
    Article
  13. Article
  14. Circulation of Shiga Toxin-ProducingFrontiers in microbiology · 2020
    Article
  15. Food-to-Humans Bacterial Transmission.Microbiology spectrum · 2020
    Review
  16. Breeding Crops for Enhanced Food Safety.Frontiers in plant science · 2020
    Review
  17. Article
  18. Article
  19. Data in brief · 2019
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Louise CrozierCell and Molecular Sciences, The James Hutton Institute Dundee, UK.
Pete E HedleyCell and Molecular Sciences, The James Hutton Institute Dundee, UK.
Jenny MorrisCell and Molecular Sciences, The James Hutton Institute Dundee, UK.
Carol WagstaffSchool of Chemistry, Food and Pharmacy, The University of Reading Reading, UK.
Simon C AndrewsSchool of Biological Sciences, The University of Reading Reading, UK.
Ian TothCell and Molecular Sciences, The James Hutton Institute Dundee, UK.
Robert W JacksonSchool of Biological Sciences, The University of Reading Reading, UK.
Nicola J HoldenCell and Molecular Sciences, The James Hutton Institute Dundee, UK.
James Hutton Institute · GBUniversity of Reading · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Verocytotoxigenic Escherichia coli (VTEC) can contaminate crop plants, potentially using them as secondary hosts, which can lead to food-borne infection. Currently, little is known about the influence of the specific plant species on the success of bacterial colonization. As such, we compared the ability of the VTEC strain, E. coli O157:H7 'Sakai,' to colonize the roots and leaves of four leafy vegetables: spinach (Spinacia oleracea), lettuce (Lactuca sativa), vining green pea (Pisum sativum), and prickly lettuce (Lactuca serriola), a wild relative of domesticated lettuce. Also, to determine the drivers of the initial response on interaction with plant tissue, the whole transcriptome of E. coli O157:H7 Sakai was analyzed following exposure to plant extracts of varying complexity (spinach leaf lysates or root exudates, and leaf cell wall polysaccharides from spinach or lettuce). Plant extracts were used to reduce heterogeneity inherent in plant-microbe interactions and remove the effect of plant immunity. This dual approach provided information on the initial adaptive response of E. coli O157:H7 Sakai to the plant environment together with the influence of the living plant during bacterial establishment and colonization. Results showed that both the plant tissue type and the plant species strongly influence the short-term (1 h) transcriptional response to extracts as well as longer-term (10 days) plant colonization or persistence. We show that propagation temperature (37 vs. 18°C) has a major impact on the expression profile and therefore pre-adaptation of bacteria to a plant-relevant temperature is necessary to avoid misleading temperature-dependent wholescale gene-expression changes in response to plant material. For each of the plant extracts tested, the largest group of (annotated) differentially regulated genes were associated with metabolism. However, large-scale differences in the metabolic and biosynthetic pathways between treatment types indicate specificity in substrate utilization. Induction of stress-response genes reflected the apparent physiological status of the bacterial genes in each extract, as a result of glutamate-dependent acid resistance, nutrient stress, or translational stalling. A large proportion of differentially regulated genes are uncharacterized (annotated as hypothetical), which could indicate yet to be described functional roles associated with plant interaction for E. coli O157:H7 Sakai.

Indexed as

adaptationbiologicalDNA microarrayE. coli O157:H7leavesrootsstress responsevegetables

Identifiers

PMID27462311
PMCPMC4940412
OpenAlexW2462447715

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.