Evidence map›Paper›PMID 39004723›Full record

ArticleBMC plant biology2024

Association between molecular markers and resistance to bacterial blight using binary logistic analysis.

Seyyedeh Zahra Fatemifard, Asad Masoumiasl, Rasool Rezaei, Bahman Fazeli-Nasab, Ali Salehi-Sardoei, Mansour Ghorbanpour

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Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Seyyedeh Zahra FatemifardPlant Breeding Department, Agriculture Faculty, Yasouj University, Yasouj, Iran.
Asad MasoumiaslPlant Breeding Department, Agriculture Faculty, Yasouj University, Yasouj, Iran. Masoumiasl@yu.ac.ir.
Rasool RezaeiPlant Protection Department, Agriculture Faculty, Yasouj University, Yasouj, Iran.
Bahman Fazeli-NasabDepartment of Agronomy and Plant Breeding, Agriculture Institute, Research Institute of Zabol, Zabol, Iran.
Ali Salehi-SardoeiCrop and Horticultural Science Research Department, South Kerman Agricultural and Natural Resources Research and Education Center, AREEO, Jiroft, Iran.
Mansour GhorbanpourDepartment of Medicinal Plants, Faculty of Agriculture and Natural Resources, Arak University, Arak, 38156-8-8349, Iran. m-ghorbanpour@araku.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most effective strategy for managing wheat bacterial blight caused by Pseudomonas syringae pv. syringae is believed to be the use of resistant cultivars. Researching the correlation between molecular markers and stress resistance can expedite the plant breeding process. The current study aims to evaluate the response of 27 bread wheat cultivars to bacterial blight disease in order to identify resistant and susceptible cultivars and to pinpoint ISSR molecular markers associated with bacterial blight resistance genes. ISSR markers are recommended for assessing a plant's disease resistance. This experiment is focused on identifying ISSR molecular markers linked to bacterial blight resistance. After applying the bacterial solution to the leaves, we performed sampling to determine the infection percentage in the leaves at different intervals (7, 14, and 18 days after spraying). In most cultivars, the average leaf infection percentage decreased 18 days after spraying on young leaves. However, in some cultivars such as Niknegad, Darab2, and Zarin, leaf infection increased in older leaves and reached up to 100% necrosis. In our study, 12 ISSR primers generated a total of 170 bands, with 156 being polymorphic. The primers F10 and F5 showed the highest polymorphism, while the F7 primer exhibited the lowest polymorphism. Cluster analysis grouped these cultivars into four categories. The resistant group included Qods, Omid, and Atrak cultivars, while the semi-resistant and susceptible groups comprised the rest of the cultivars. Through binary logistic analysis, we identified three Super oxide dismutase-related genes that contribute to plant resistance to bacterial blight. These genes were linked to the F3, F5, and F12 primers in regions I (1500 bp), T (1000 bp), and G (850 bp), respectively. We also identified seven susceptibility-associated genes. Atrak, Omid, and Qods cultivars exhibited resistance against bacterial blight, and three genes associated with this resistance were linked to the F3, F5, and F12 primers. These markers can be used for screening or transferring tolerance to other wheat cultivars in breeding programs.

Indexed as

Disease ResistancePlant DiseasesPseudomonas syringaeTriticumGenetic MarkersLogistic ModelsPlant LeavesGenetic MarkersGenetic diversityISSRPolymorphismPseudomonas syringaeResistant wheat cultivars

Identifiers

PMID39004723
PMCPMC11247743

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