Evidence map›Paper›PMID 37468480›Full record

ArticleNature communications2023

Precise in-field molecular diagnostics of crop diseases by smartphone-based mutation-resolved pathogenic RNA analysis.

Ting Zhang, Qingdong Zeng, Fan Ji, Honghong Wu, Rodrigo Ledesma-Amaro, Qingshan Wei, Hao Yang, Xuhan Xia, Yao Ren, Keqing Mu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
9.9field-weighted citation impact, top 2% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Co-g-CJournal of fluorescence · 2026
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  4. Addition of two new genera-Frontiers in cellular and infection microbiology · 2025
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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

13 authors at 5 institutions in 3 countries.

Ting Zhang *College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, 610065, China.
Qingdong Zeng *State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, 712100, China.
Fan Ji *State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, 712100, China.
Honghong Wu *MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, 430070, China.ORCID http://orcid.org/0000-0001-6629-0280
Rodrigo Ledesma-AmaroDepartment of Bioengineering, Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.ORCID http://orcid.org/0000-0003-2631-5898
Qingshan WeiDepartment of Chemical and Biomolecular Engineering, Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, NC, 27696, USA.ORCID http://orcid.org/0000-0003-1214-010X
Hao YangCollege of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, 610065, China.
Xuhan XiaCollege of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, 610065, China.
Yao RenCollege of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, 610065, China.
Keqing MuState Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, 712100, China.
Qiang HeCollege of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, 610065, China.
Zhensheng KangState Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, 712100, China.
Ruijie DengCollege of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, 610065, China. drj17@scu.edu.cn.ORCID http://orcid.org/0000-0001-9094-124X
Sichuan University · CNNorthwest A&F University · CNHuazhong Agricultural University · CNImperial College London · GBNorth Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular diagnostics for crop diseases can guide the precise application of pesticides, thereby reducing pesticide usage while improving crop yield, but tools are lacking. Here, we report an in-field molecular diagnostic tool that uses a cheap colorimetric paper and a smartphone, allowing multiplexed, low-cost, rapid detection of crop pathogens. Rapid nucleic acid amplification-free detection of pathogenic RNA is achieved by combining toehold-mediated strand displacement with a metal ion-mediated urease catalysis reaction. We demonstrate multiplexed detection of six wheat pathogenic fungi and an early detection of wheat stripe rust. When coupled with a microneedle for rapid nucleic acid extraction and a smartphone app for results analysis, the sample-to-result test can be completed in ~10 min in the field. Importantly, by detecting fungal RNA and mutations, the approach allows to distinguish viable and dead pathogens and to sensitively identify mutation-carrying fungicide-resistant isolates, providing fundamental information for precision crop disease management.

Indexed as

BasidiomycotaRNAFungiMutationNucleic Acid Amplification TechniquesPathology, MolecularSmartphoneRNA

Identifiers

PMID37468480
PMCPMC10356797
OpenAlexW4384820763

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.