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An efficient screening system of disease-resistant genes from wild apple, Malus sieversii in response to Valsa mali pathogenic fungus

For molecular breeding of future apples, wild apple (Malus sieversii), the primary progenitor of domesticated apples, provides abundant genetic diversity and disease-resistance traits. Valsa canker (caused by the fungal pathogen Valsa mali) poses a major threat to wild apple population as well as to...

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Autores principales: Wen, Xuejing, Yuan, Jiangxue, Bozorov, Tohir A., Waheed, Abdul, Kahar, Gulnaz, Haxim, Yakupjan, Liu, Xiaojie, Huang, Lili, Zhang, Daoyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693133/
https://www.ncbi.nlm.nih.gov/pubmed/38042829
http://dx.doi.org/10.1186/s13007-023-01115-w
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author Wen, Xuejing
Yuan, Jiangxue
Bozorov, Tohir A.
Waheed, Abdul
Kahar, Gulnaz
Haxim, Yakupjan
Liu, Xiaojie
Huang, Lili
Zhang, Daoyuan
author_facet Wen, Xuejing
Yuan, Jiangxue
Bozorov, Tohir A.
Waheed, Abdul
Kahar, Gulnaz
Haxim, Yakupjan
Liu, Xiaojie
Huang, Lili
Zhang, Daoyuan
author_sort Wen, Xuejing
collection PubMed
description For molecular breeding of future apples, wild apple (Malus sieversii), the primary progenitor of domesticated apples, provides abundant genetic diversity and disease-resistance traits. Valsa canker (caused by the fungal pathogen Valsa mali) poses a major threat to wild apple population as well as to cultivated apple production in China. In the present study, we developed an efficient system for screening disease-resistant genes of M. sieversii in response to V. mali. An optimal agrobacterium-mediated transient transformation of M. sieversii was first used to manipulate in situ the expression of candidate genes. After that, the pathogen V. mali was inoculated on transformed leaves and stems, and 3 additional methods for slower disease courses were developed for V. mali inoculation. To identify the resistant genes, a series of experiments were performed including morphological (incidence, lesion area/length, fungal biomass), physiological (H(2)O(2) content, malondialdehyde content), and molecular (Real-time quantitative Polymerase Chain Reaction) approaches. Using the optimized system, we identified two transcription factors with high resistance to V. mali, MsbHLH41 and MsEIL3. Furthermore, 35 and 45 downstream genes of MsbHLH41 and MsEIL3 were identified by screening the V. mali response gene database in M. sieversii, respectively. Overall, these results indicate that the disease-resistant gene screening system has a wide range of applications for identifying resistant genes and exploring their immune regulatory networks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-023-01115-w.
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spelling pubmed-106931332023-12-03 An efficient screening system of disease-resistant genes from wild apple, Malus sieversii in response to Valsa mali pathogenic fungus Wen, Xuejing Yuan, Jiangxue Bozorov, Tohir A. Waheed, Abdul Kahar, Gulnaz Haxim, Yakupjan Liu, Xiaojie Huang, Lili Zhang, Daoyuan Plant Methods Methodology For molecular breeding of future apples, wild apple (Malus sieversii), the primary progenitor of domesticated apples, provides abundant genetic diversity and disease-resistance traits. Valsa canker (caused by the fungal pathogen Valsa mali) poses a major threat to wild apple population as well as to cultivated apple production in China. In the present study, we developed an efficient system for screening disease-resistant genes of M. sieversii in response to V. mali. An optimal agrobacterium-mediated transient transformation of M. sieversii was first used to manipulate in situ the expression of candidate genes. After that, the pathogen V. mali was inoculated on transformed leaves and stems, and 3 additional methods for slower disease courses were developed for V. mali inoculation. To identify the resistant genes, a series of experiments were performed including morphological (incidence, lesion area/length, fungal biomass), physiological (H(2)O(2) content, malondialdehyde content), and molecular (Real-time quantitative Polymerase Chain Reaction) approaches. Using the optimized system, we identified two transcription factors with high resistance to V. mali, MsbHLH41 and MsEIL3. Furthermore, 35 and 45 downstream genes of MsbHLH41 and MsEIL3 were identified by screening the V. mali response gene database in M. sieversii, respectively. Overall, these results indicate that the disease-resistant gene screening system has a wide range of applications for identifying resistant genes and exploring their immune regulatory networks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-023-01115-w. BioMed Central 2023-12-02 /pmc/articles/PMC10693133/ /pubmed/38042829 http://dx.doi.org/10.1186/s13007-023-01115-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Methodology
Wen, Xuejing
Yuan, Jiangxue
Bozorov, Tohir A.
Waheed, Abdul
Kahar, Gulnaz
Haxim, Yakupjan
Liu, Xiaojie
Huang, Lili
Zhang, Daoyuan
An efficient screening system of disease-resistant genes from wild apple, Malus sieversii in response to Valsa mali pathogenic fungus
title An efficient screening system of disease-resistant genes from wild apple, Malus sieversii in response to Valsa mali pathogenic fungus
title_full An efficient screening system of disease-resistant genes from wild apple, Malus sieversii in response to Valsa mali pathogenic fungus
title_fullStr An efficient screening system of disease-resistant genes from wild apple, Malus sieversii in response to Valsa mali pathogenic fungus
title_full_unstemmed An efficient screening system of disease-resistant genes from wild apple, Malus sieversii in response to Valsa mali pathogenic fungus
title_short An efficient screening system of disease-resistant genes from wild apple, Malus sieversii in response to Valsa mali pathogenic fungus
title_sort efficient screening system of disease-resistant genes from wild apple, malus sieversii in response to valsa mali pathogenic fungus
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693133/
https://www.ncbi.nlm.nih.gov/pubmed/38042829
http://dx.doi.org/10.1186/s13007-023-01115-w
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