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Pan-Parastagonospora Comparative Genome Analysis—Effector Prediction and Genome Evolution
We report a fungal pan-genome study involving Parastagonospora spp., including 21 isolates of the wheat (Triticum aestivum) pathogen Parastagonospora nodorum, 10 of the grass-infecting Parastagonospora avenae, and 2 of a closely related undefined sister species. We observed substantial variation in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6152946/ https://www.ncbi.nlm.nih.gov/pubmed/30184068 http://dx.doi.org/10.1093/gbe/evy192 |
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author | Syme, Robert A Tan, Kar-Chun Rybak, Kasia Friesen, Timothy L McDonald, Bruce A Oliver, Richard P Hane, James K |
author_facet | Syme, Robert A Tan, Kar-Chun Rybak, Kasia Friesen, Timothy L McDonald, Bruce A Oliver, Richard P Hane, James K |
author_sort | Syme, Robert A |
collection | PubMed |
description | We report a fungal pan-genome study involving Parastagonospora spp., including 21 isolates of the wheat (Triticum aestivum) pathogen Parastagonospora nodorum, 10 of the grass-infecting Parastagonospora avenae, and 2 of a closely related undefined sister species. We observed substantial variation in the distribution of polymorphisms across the pan-genome, including repeat-induced point mutations, diversifying selection and gene gains and losses. We also discovered chromosome-scale inter and intraspecific presence/absence variation of some sequences, suggesting the occurrence of one or more accessory chromosomes or regions that may play a role in host–pathogen interactions. The presence of known pathogenicity effector loci SnToxA, SnTox1, and SnTox3 varied substantially among isolates. Three P. nodorum isolates lacked functional versions for all three loci, whereas three P. avenae isolates carried one or both of the SnTox1 and SnTox3 genes, indicating previously unrecognized potential for discovering additional effectors in the P. nodorum-wheat pathosystem. We utilized the pan-genomic comparative analysis to improve the prediction of pathogenicity effector candidates, recovering the three confirmed effectors among our top-ranked candidates. We propose applying this pan-genomic approach to identify the effector repertoire involved in other host–microbe interactions involving necrotrophic pathogens in the Pezizomycotina. |
format | Online Article Text |
id | pubmed-6152946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61529462018-09-28 Pan-Parastagonospora Comparative Genome Analysis—Effector Prediction and Genome Evolution Syme, Robert A Tan, Kar-Chun Rybak, Kasia Friesen, Timothy L McDonald, Bruce A Oliver, Richard P Hane, James K Genome Biol Evol Research Article We report a fungal pan-genome study involving Parastagonospora spp., including 21 isolates of the wheat (Triticum aestivum) pathogen Parastagonospora nodorum, 10 of the grass-infecting Parastagonospora avenae, and 2 of a closely related undefined sister species. We observed substantial variation in the distribution of polymorphisms across the pan-genome, including repeat-induced point mutations, diversifying selection and gene gains and losses. We also discovered chromosome-scale inter and intraspecific presence/absence variation of some sequences, suggesting the occurrence of one or more accessory chromosomes or regions that may play a role in host–pathogen interactions. The presence of known pathogenicity effector loci SnToxA, SnTox1, and SnTox3 varied substantially among isolates. Three P. nodorum isolates lacked functional versions for all three loci, whereas three P. avenae isolates carried one or both of the SnTox1 and SnTox3 genes, indicating previously unrecognized potential for discovering additional effectors in the P. nodorum-wheat pathosystem. We utilized the pan-genomic comparative analysis to improve the prediction of pathogenicity effector candidates, recovering the three confirmed effectors among our top-ranked candidates. We propose applying this pan-genomic approach to identify the effector repertoire involved in other host–microbe interactions involving necrotrophic pathogens in the Pezizomycotina. Oxford University Press 2018-09-04 /pmc/articles/PMC6152946/ /pubmed/30184068 http://dx.doi.org/10.1093/gbe/evy192 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Syme, Robert A Tan, Kar-Chun Rybak, Kasia Friesen, Timothy L McDonald, Bruce A Oliver, Richard P Hane, James K Pan-Parastagonospora Comparative Genome Analysis—Effector Prediction and Genome Evolution |
title | Pan-Parastagonospora Comparative Genome Analysis—Effector Prediction and Genome Evolution |
title_full | Pan-Parastagonospora Comparative Genome Analysis—Effector Prediction and Genome Evolution |
title_fullStr | Pan-Parastagonospora Comparative Genome Analysis—Effector Prediction and Genome Evolution |
title_full_unstemmed | Pan-Parastagonospora Comparative Genome Analysis—Effector Prediction and Genome Evolution |
title_short | Pan-Parastagonospora Comparative Genome Analysis—Effector Prediction and Genome Evolution |
title_sort | pan-parastagonospora comparative genome analysis—effector prediction and genome evolution |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6152946/ https://www.ncbi.nlm.nih.gov/pubmed/30184068 http://dx.doi.org/10.1093/gbe/evy192 |
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