Evidence map›Paper›PMID 39380031›Full record

ArticlePlant methods2024

Quantification of the fungal pathogen Didymella segeticola in Camellia sinensis using a DNA-based qRT-PCR assay.

You Zhang, Yiyi Tu, Yijia Chen, Jialu Fang, Fan'anni Chen, Lian Liu, Xiaoman Zhang, Yuchun Wang, Wuyun Lv

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 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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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

9 authors.

You Zhang *College of Tea Science and Tea Culture, Zhejiang A & F University, Hangzhou, Zhejiang, 311300, China.
Yiyi Tu *College of Tea Science and Tea Culture, Zhejiang A & F University, Hangzhou, Zhejiang, 311300, China.
Yijia ChenCollege of Tea Science and Tea Culture, Zhejiang A & F University, Hangzhou, Zhejiang, 311300, China.
Jialu FangCollege of Tea Science and Tea Culture, Zhejiang A & F University, Hangzhou, Zhejiang, 311300, China.
Fan'anni ChenCollege of Tea Science and Tea Culture, Zhejiang A & F University, Hangzhou, Zhejiang, 311300, China.
Lian LiuCollege of Tea Science and Tea Culture, Zhejiang A & F University, Hangzhou, Zhejiang, 311300, China.
Xiaoman ZhangCollege of Mathematics and Computer Science, Zhejiang A & F University, Hangzhou, Zhejiang, 311300, China.
Yuchun WangCollege of Tea Science and Tea Culture, Zhejiang A & F University, Hangzhou, Zhejiang, 311300, China. ycwang0201@126.com.
Wuyun LvCollege of Tea Science and Tea Culture, Zhejiang A & F University, Hangzhou, Zhejiang, 311300, China. Lvwuyun_blue@163.com.

Funding

Scientific Research Project of Zhejiang Education Department Y202250195Student Scientific Research Training Program of Zhejiang A & F University S202210341011; S202210341018; S202210341030; S202210341095Zhejiang Science and Technology Major Program on Agricultural New Variety Breeding-Tea Plant 2021C02067-7Zhejiang University Student Science and Technology Innovation Activity Plant 2024R412B052
6 · The paper itself

Abstract

The fungal pathogen Didymella segeticola causes leaf spot and leaf blight on tea plant (Camellia sinensis), leading to production losses and affecting tea quality and flavor. Accurate detection and quantification of D. segeticola growth in tea plant leaves are crucial for diagnosing disease severity or evaluating host resistance. In this study, we monitored disease progression and D. segeticola development in tea plant leaves inoculated with a GFP-expressing strain. By contrast, a DNA-based qRT-PCR analysis was employed for a more convenient and maneuverable detection of D. segeticola growth in tea leaves. This method was based on the comparison of D. segeticola-specific DNA encoding a Cys2His2-zinc-finger protein (NCBI accession number: OR987684) in relation to tea plant Cs18S rDNA1. Unlike ITS and TUB2 sequences, this specific DNA was only amplified in D. segeticola isolates, not in other tea plant pathogens. This assay is also applicable for detecting D. segeticola during interactions with various tea cultivars. Among the five cultivars tested, 'Zhongcha102' (ZC102) and 'Fuding-dabaicha' (FDDB) were more susceptible to D. segeticola compared with 'Longjing43' (LJ43), 'Zhongcha108' (ZC108), and 'Zhongcha302' (ZC302). Different D. segeticola isolates also exhibited varying levels of aggressiveness towards LJ43. In conclusion, the DNA-based qRT-PCR analysis is highly sensitive, convenient, and effective method for quantifying D. segeticola growth in tea plant. This technique can be used to diagnose the severity of tea leaf spot and blight or to evaluate tea plant resistance to this pathogen.

Indexed as

C2H2-ZNFDidymella segeticolaDisease progressionDNA-based qRT-PCRQuantificationTea plant

Identifiers

PMID39380031
PMCPMC11462658

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