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Population genetic analysis reveals cryptic sex in the phytopathogenic fungus Alternaria alternata

Reproductive mode can impact population genetic dynamics and evolutionary landscape of plant pathogens as well as on disease epidemiology and management. In this study, we monitored the spatial dynamics and mating type idiomorphs in ~700 Alternaria alternata isolates sampled from the main potato pro...

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Autores principales: Meng, Jing-Wen, Zhu, Wen, He, Meng-Han, Wu, E-Jiao, Duan, Guo-Hua, Xie, Ye-Kun, Jin, Yu-Jia, Yang, Li-Na, Shang, Li-Ping, Zhan, Jiasui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4678894/
https://www.ncbi.nlm.nih.gov/pubmed/26666175
http://dx.doi.org/10.1038/srep18250
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author Meng, Jing-Wen
Zhu, Wen
He, Meng-Han
Wu, E-Jiao
Duan, Guo-Hua
Xie, Ye-Kun
Jin, Yu-Jia
Yang, Li-Na
Shang, Li-Ping
Zhan, Jiasui
author_facet Meng, Jing-Wen
Zhu, Wen
He, Meng-Han
Wu, E-Jiao
Duan, Guo-Hua
Xie, Ye-Kun
Jin, Yu-Jia
Yang, Li-Na
Shang, Li-Ping
Zhan, Jiasui
author_sort Meng, Jing-Wen
collection PubMed
description Reproductive mode can impact population genetic dynamics and evolutionary landscape of plant pathogens as well as on disease epidemiology and management. In this study, we monitored the spatial dynamics and mating type idiomorphs in ~700 Alternaria alternata isolates sampled from the main potato production areas in China to infer the mating system of potato early blight. Consistent with the expectation of asexual species, identical genotypes were recovered from different locations separated by hundreds of kilometers of geographic distance and spanned across many years. However, high genotype diversity, equal MAT1-1 and MAT1-2 frequencies within and among populations, no genetic differentiation and phylogenetic association between two mating types, combined with random association amongst neutral markers in some field populations, suggested that sexual reproduction may also play an important role in the epidemics and evolution of the pathogen in at least half of the populations assayed despite the fact that no teleomorphs have been observed yet naturally or artificially. Our results indicated that A. alternata may adopt an epidemic mode of reproduction by combining many cycles of asexual propagation with fewer cycles of sexual reproduction, facilitating its adaptation to changing environments and making the disease management on potato fields even more difficult.
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spelling pubmed-46788942015-12-18 Population genetic analysis reveals cryptic sex in the phytopathogenic fungus Alternaria alternata Meng, Jing-Wen Zhu, Wen He, Meng-Han Wu, E-Jiao Duan, Guo-Hua Xie, Ye-Kun Jin, Yu-Jia Yang, Li-Na Shang, Li-Ping Zhan, Jiasui Sci Rep Article Reproductive mode can impact population genetic dynamics and evolutionary landscape of plant pathogens as well as on disease epidemiology and management. In this study, we monitored the spatial dynamics and mating type idiomorphs in ~700 Alternaria alternata isolates sampled from the main potato production areas in China to infer the mating system of potato early blight. Consistent with the expectation of asexual species, identical genotypes were recovered from different locations separated by hundreds of kilometers of geographic distance and spanned across many years. However, high genotype diversity, equal MAT1-1 and MAT1-2 frequencies within and among populations, no genetic differentiation and phylogenetic association between two mating types, combined with random association amongst neutral markers in some field populations, suggested that sexual reproduction may also play an important role in the epidemics and evolution of the pathogen in at least half of the populations assayed despite the fact that no teleomorphs have been observed yet naturally or artificially. Our results indicated that A. alternata may adopt an epidemic mode of reproduction by combining many cycles of asexual propagation with fewer cycles of sexual reproduction, facilitating its adaptation to changing environments and making the disease management on potato fields even more difficult. Nature Publishing Group 2015-12-15 /pmc/articles/PMC4678894/ /pubmed/26666175 http://dx.doi.org/10.1038/srep18250 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Meng, Jing-Wen
Zhu, Wen
He, Meng-Han
Wu, E-Jiao
Duan, Guo-Hua
Xie, Ye-Kun
Jin, Yu-Jia
Yang, Li-Na
Shang, Li-Ping
Zhan, Jiasui
Population genetic analysis reveals cryptic sex in the phytopathogenic fungus Alternaria alternata
title Population genetic analysis reveals cryptic sex in the phytopathogenic fungus Alternaria alternata
title_full Population genetic analysis reveals cryptic sex in the phytopathogenic fungus Alternaria alternata
title_fullStr Population genetic analysis reveals cryptic sex in the phytopathogenic fungus Alternaria alternata
title_full_unstemmed Population genetic analysis reveals cryptic sex in the phytopathogenic fungus Alternaria alternata
title_short Population genetic analysis reveals cryptic sex in the phytopathogenic fungus Alternaria alternata
title_sort population genetic analysis reveals cryptic sex in the phytopathogenic fungus alternaria alternata
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4678894/
https://www.ncbi.nlm.nih.gov/pubmed/26666175
http://dx.doi.org/10.1038/srep18250
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