Evidence map›Paper›PMID 41549151›Full record

ArticleStress biology2026

The development and validation of a genotyping-by-target sequencing chip for fungal population genetic analysis.

Haohao Yan, Zhe Ma, Qiang Yao, Shiqin Cao, Qiuzhen Jia, Jiaqi Li, Jie Zhao, Weiyi Yan, Juhong Ma, Wen Chen and 7 more

Abstract read
In one paragraph

Article in Stress biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Haohao Yan *State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Zhe Ma *State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Qiang Yao *Key Laboratory of Agricultural Integrated Pest Management, Qinghai Province, Academy of Agriculture and Forestry Science, Qinghai University, Xining, Qinghai, 810016, China.
Shiqin CaoPlant Protection Institute, Gansu Academy of Agricultural Sciences, Lanzhou, Gansu, 730070, China.
Qiuzhen JiaPlant Protection Institute, Gansu Academy of Agricultural Sciences, Lanzhou, Gansu, 730070, China.
Jiaqi LiState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Jie ZhaoState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Weiyi YanState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Juhong MaState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Wen ChenPlant Protection Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, 550006, China.
Bo ZhangPlant Protection Institute, Gansu Academy of Agricultural Sciences, Lanzhou, Gansu, 730070, China.
Xuezhen MaState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Xiaojie WangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Dejun HanState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Zhensheng KangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, China. kangzs@nwafu.edu.cn.
Lili HuangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, China. huanglili@nwafu.edu.cn.
Qingdong ZengState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, China. zengqd@nwafu.edu.cn.ORCID http://orcid.org/0000-0002-7856-2340

Funding

Innovation Capability Support Program of Shaanxi No. 2023-CX-TD-56Major Program of the National Natural Science Foundation of China 32293240the earmarked fund for CARS CARS-3the National Key R&D Program of China 2021YFD1401000
6 · The paper itself

Abstract

Advanced genotyping technologies for understanding the genetic intricacies of fungal pathogens have broad applications in crop protection. Here, we introduce a novel genotyping-by-target sequencing (GBTS) chip, a versatile tool designed for comprehensive genetic analysis of fungal populations. This technology overcomes key limitations of traditional molecular marker-based approaches by providing a more efficient, economic, and streamlined solution while bypassing the need for labor-intensive pathogen culturing. We demonstrate its utility by applying it to profile Puccinia striiformis f. sp. tritici (Pst), the causal agent of wheat stripe rust. Our analysis involved 225 infected leaves collected from wheat fields in the northwest oversummering region for Pst in China. We delineated three genetic groups and revealed frequent gene flow, with closer connectivity between Qinghai and Gansu than either province with Ningxia, a pattern consistent with wind trajectory models. These findings illustrate a highly connected regional epidemic system and highlight the value of the GBTS chip for genomic epidemiology. The methodology established here provides a scalable framework for population genetic studies in other fungal pathogens, promising to enhance disease monitoring and management across agricultural systems.

Indexed as

GBTSGene flowPopulation geneticsPuccinia striiformis f. sp. triticiTrajectory tracking

Identifiers

PMID41549151
PMCPMC12812796

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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.