Evidence map›Paper›PMID 37938340›Full record

ArticleISME communications2022

Weather stressors correlate with Escherichia coli and Salmonella enterica persister formation rates in the phyllosphere: a mathematical modeling study.

Maria T Brandl, Renata Ivanek, Nerion Zekaj, Alexandra Belias, Martin Wiedmann, Trevor V Suslow, Ana Allende, Daniel S Munther

Abstract read
In one paragraph

Article in ISME communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Transfer of genericHeliyon · 2023
    Article
  5. Article
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.

Maria T BrandlProduce Safety and Microbiology Research Unit, US Department of Agriculture, Agricultural Research Service, Albany, CA, 94710, USA. maria.brandl@usda.gov.ORCID http://orcid.org/0000-0002-5380-776X
Renata IvanekDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Nerion ZekajDepartment of Mathematics and Statistics, Cleveland State University, Cleveland, OH, 44115, USA.
Alexandra BeliasDepartment of Food Science, Cornell University, Ithaca, NY, 14853, USA.
Martin WiedmannDepartment of Food Science, Cornell University, Ithaca, NY, 14853, USA.ORCID http://orcid.org/0000-0002-4168-5662
Trevor V SuslowDepartment of Plant Sciences, University of California, Davis, CA, 95616, USA.
Ana AllendeResearch Group of Microbiology and Quality of Fruit and Vegetables, Food Science and Technology Department, CEBAS-CSIS, Campus Universitario de Espinardo, Murcia, E-30100, Spain.ORCID http://orcid.org/0000-0002-5622-4332
Daniel S MuntherDepartment of Mathematics and Statistics, Cleveland State University, Cleveland, OH, 44115, USA. d.munther@csuohio.edu.ORCID http://orcid.org/0000-0003-4728-9721

Funding

Center for Produce Safety (CPS) 2018CPS04United States Department of Agriculture | Agricultural Research Service (USDA Agricultural Research Service) 2030-42000-052-00-D
6 · The paper itself

Abstract

Enteric pathogens can enter a persister state in which they survive exposure to antibiotics and physicochemical stresses. Subpopulations of such phenotypic dormant variants have been detected in vivo and in planta in the laboratory, but their formation in the natural environment remains largely unexplored. We applied a mathematical model predicting the switch rate to persister cell in the phyllosphere to identify weather-related stressors associated with E. coli and S. enterica persister formation on plants based on their population dynamics in published field studies from the USA and Spain. Model outputs accurately depicted the bi-phasic decay of bacterial population sizes measured in the lettuce and spinach phyllosphere in these studies. Predicted E. coli persister switch rate on leaves was positively and negatively correlated with solar radiation intensity and wind velocity, respectively. Likewise, predicted S. enterica persister switch rate correlated positively with solar radiation intensity; however, a negative correlation was observed with air temperature, relative humidity, and dew point, factors involved in water deposition onto the phylloplane. These findings suggest that specific environmental factors may enrich for dormant bacterial cells on plants. Our model quantifiably links persister cell subpopulations in the plant habitat with broader physical conditions, spanning processes at different granular scales.

Identifiers

PMID37938340
PMCPMC9723732

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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.