Evidence map›Paper›PMID 38825669›Full record

ArticlePlant methods2024

Non-wounding contact-based Inoculation of fruits with fungal pathogens in postharvest.

Adrian O Sbodio, Saskia D Mesquida-Pesci, Nancy Yip, Isabela Alvarez-Rojo, Elia Gutierrez-Baeza, Samantha Tay, Pedro Bello, Luxin Wang, Barbara Blanco-Ulate

Abstract read
In one paragraph

Article in Plant methods, 2024. 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. Article
  3. Diversity, Taxonomy, and Pathogenicity of Members ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  4. Multi-methodApplied and environmental microbiology · 2025
    Article
  5. 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

9 authors.

Adrian O SbodioDepartment of Plant Sciences, University of California, Davis, CA, 95616, USA.
Saskia D Mesquida-PesciDepartment of Plant Sciences, University of California, Davis, CA, 95616, USA.
Nancy YipDepartment of Plant Sciences, University of California, Davis, CA, 95616, USA.
Isabela Alvarez-RojoDepartment of Plant Sciences, University of California, Davis, CA, 95616, USA.
Elia Gutierrez-BaezaDepartment of Plant Sciences, University of California, Davis, CA, 95616, USA.
Samantha TayDepartment of Plant Sciences, University of California, Davis, CA, 95616, USA.
Pedro BelloDepartment of Plant Sciences, University of California, Davis, CA, 95616, USA.
Luxin WangDepartment of Food Science, University of California, Davis, CA, 95616, USA.
Barbara Blanco-UlateDepartment of Plant Sciences, University of California, Davis, CA, 95616, USA. bblanco@ucdavis.edu.

Funding

Department of Plant Sciences, UC Davis, James Monroe McDonald Endowment, administered by UCANR Graduate Student Researcher'la Caixa' Foundation LCF/BQ/AA19/11720034National Institute of Food and Agriculture 2019-06980
6 · The paper itself

Abstract

backgroundFungal pathogens significantly impact the quality of fruits and vegetables at different stages of the supply chain, leading to substantial food losses. Understanding how these persistent fungal infections occur and progress in postharvest conditions is essential to developing effective control strategies.

resultsIn this study, we developed a reliable and consistent inoculation protocol to simulate disease spread from infected fruits to adjacent healthy fruits during postharvest storage. We tested different combinations of relevant fruit commodities, including oranges, tomatoes, and apples, against impactful postharvest pathogens such as Penicillium digitatum, Penicillium italicum, Botrytis cinerea, and Penicillium expansum. We assessed the efficacy of this protocol using fruits treated with various postharvest methods and multiple isolates for each pathogen. We optimized the source of infected tissue and incubation conditions for each fruit-pathogen combination. Disease incidence and severity were quantitatively evaluated to study infection success and progression. At the final evaluation point, 80% or higher disease incidence rates were observed in all trials except for the fungicide-treated oranges inoculated with fungicide-susceptible Penicillium spp. isolates. Although disease incidence was lower in that particular scenario, it is noteworthy that the pathogen was still able to establish itself under unfavorable conditions, indicating the robustness of our methodology. Finally, we used multispectral imaging to detect early P. digitatum infections in oranges before the disease became visible to the naked eye but after the pathogen was established.

conclusionsWe developed a non-invasive inoculation strategy that can be used to recreate infections caused by contact or nesting in postharvest. The observed high disease incidence and severity values across fruit commodities and fungal pathogens demonstrate the robustness, efficacy, and reproducibility of the developed methodology. The protocol has the potential to be tailored for other pathosystems. Additionally, this approach can facilitate the study of fruit-pathogen interactions and the assessment of innovative control strategies.

Indexed as

AppleBotrytisEarly detectionFruit diseasesMoldOrangePenicilliumTomato

Identifiers

PMID38825669
PMCPMC11145807

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LicenceCC BY
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Registered trials

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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.