Evidence map›Paper›PMID 40115957›Full record

ArticleFrontiers in plant science2025

Amplification-free detection of plant pathogens by improved CRISPR-Cas12a systems: a case study on phytoplasma.

Joseph R Lagner, Eric A Newberry, Yazmín Rivera, Liyang Zhang, Christopher A Vakulskas, Yiping Qi

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Joseph R LagnerDepartment of Plant Science and Landscape Architecture, University of Maryland, College, Park, MD, United States.
Eric A NewberryAnimal Plant Health Inspection Service, Plant Protection and Quarantine, Science and Technology, Plant Pathogen Confirmatory Diagnostics Laboratory, United States Department of Agriculture, Laurel, MS, United States.
Yazmín RiveraAnimal Plant Health Inspection Service, Plant Protection and Quarantine, Science and Technology, Plant Pathogen Confirmatory Diagnostics Laboratory, United States Department of Agriculture, Laurel, MS, United States.
Liyang ZhangIntegrated DNA Technologies, Coralville, IA, United States.
Christopher A VakulskasIntegrated DNA Technologies, Coralville, IA, United States.
Yiping QiDepartment of Plant Science and Landscape Architecture, University of Maryland, College, Park, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CRISPR-based disease detection has the potential to profoundly change how pathogens are detected in plant materials. However, there has been a lack of research directed into improving explicitly the CRISPR components that define these detection assays. To fill this technology gap, we have designed and optimized our CRISPR-Cas12a based detection platform by showcasing its capability of detecting a plant pathogen group of rising importance,

Indexed as

CRISPR-Cas12afluorescence based detectionlateral flow assay (LFA)LbCas12a-ultrapathogen detectionphytoplasmastem-loop probe

Identifiers

PMID40115957
PMCPMC11924941

What OpenQuestion holds

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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.