Evidence map›Paper›PMID 40444000›Full record

ArticleFrontiers in microbiology2025

Unleashing the potential of high-throughput sequencing for plant virus and viroid detection in Mexico.

Carolina Pacheco-Dorantes, Juan Manuel Tovar-Pedraza, Daniel Leobardo Ochoa-Martínez, Ramiro González-Garza, Alfredo Diaz-Lara

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. 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. Article
  2. RNA silencing: the future potential strategy for engineering virus resistance in plants.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    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.

Carolina Pacheco-DorantesSchool of Engineering and Sciences, Tecnologico de Monterrey, Santiago de Querétaro, Querétaro, Mexico.
Juan Manuel Tovar-PedrazaLaboratorio de Fitopatología, Coordinación Regional Culiacán, Centro de Investigación en Alimentación y Desarrollo, Culiacán, Sinaloa, Mexico.
Daniel Leobardo Ochoa-MartínezPosgrado en Fitosanidad - Fitopatología, Colegio de Postgraduados, Texcoco, Estado de México, Mexico.
Ramiro González-GarzaBioCiencia S.A. de C.V., Monterrey, Nuevo León, Mexico.
Alfredo Diaz-LaraSchool of Engineering and Sciences, Tecnologico de Monterrey, Santiago de Querétaro, Querétaro, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing (HTS) has revolutionized plant virology in Mexico by enhancing the detection and characterization of plant viruses and viroids. This technology has contributed to identifying previously neglected pathogens affecting key crops such as corn, beans, and tomato. The use of HTS has also revealed the presence of mixed viral infections, highlighting the complexity of plant viromes within agricultural ecosystems. Furthermore, metagenomic studies have demonstrated the role of water sources as reservoirs for plant viruses, underscoring the urgent need for improved management strategies. Despite its advantages, the widespread adoption of HTS faces challenges, including high costs, the need for bioinformatics expertise, and infrastructure limitations. Supporting collaborations between research institutions and regulatory agencies is crucial to integrating HTS into routine phytosanitary programs. Future research should aim to expand HTS applications to include epidemiological monitoring, resistance breeding, and the development of sustainable management strategies to mitigate the impact of emerging plant viruses in Mexico.

Indexed as

diagnosticshigh-throughput sequencingmetagenomicsplant diseaseplant virologyviroidvirus

Identifiers

PMID40444000
PMCPMC12120837

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.