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Improving the Genome Annotation of Rhizoctonia solani Using Proteogenomics

BACKGROUND: Rhizoctonia solani is a pathogenic fungus that causes serious diseases in many crops, including rice, wheat, and soybeans. In crop production, it is very important to understand the pathogenicity of this fungus, which is still elusive. It might be helpful to comprehensively understand it...

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Autores principales: Shu, Jiantao, Yang, Mingkun, Zhang, Cheng, Yang, Pingfang, Ge, Feng, Li, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844941/
https://www.ncbi.nlm.nih.gov/pubmed/35283670
http://dx.doi.org/10.2174/1389202922666211011143957
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author Shu, Jiantao
Yang, Mingkun
Zhang, Cheng
Yang, Pingfang
Ge, Feng
Li, Ming
author_facet Shu, Jiantao
Yang, Mingkun
Zhang, Cheng
Yang, Pingfang
Ge, Feng
Li, Ming
author_sort Shu, Jiantao
collection PubMed
description BACKGROUND: Rhizoctonia solani is a pathogenic fungus that causes serious diseases in many crops, including rice, wheat, and soybeans. In crop production, it is very important to understand the pathogenicity of this fungus, which is still elusive. It might be helpful to comprehensively understand its genomic information using different genome annotation strategies. METHODS: Aiming to improve the genome annotation of R. solani, we performed a proteogenomic study based on the existing data. Based on our study, a total of 1060 newly identified genes, 36 revised genes, 139 single amino acid variants (SAAVs), 8 alternative splicing genes, and diverse post-translational modifications (PTMs) events were identified in R. solani AG3. Further functional annotation on these 1060 newly identified genes was performed through homology analysis with its 5 closest relative fungi. RESULTS: Based on this, 2 novel candidate pathogenic genes, which might be associated with pathogen-host interaction, were discovered. In addition, in order to increase the reliability and novelty of the newly identified genes in R. solani AG3, 1060 newly identified genes were compared with the newly published available R. solani genome sequences of AG1, AG2, AG4, AG5, AG6, and AG8. There are 490 homologous sequences. We combined the proteogenomic results with the genome alignment results and finally identified 570 novel genes in R. solani. CONCLUSION: These findings extended R. solani genome annotation and provided a wealth of resources for research on R. solani.
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spelling pubmed-88449412022-06-30 Improving the Genome Annotation of Rhizoctonia solani Using Proteogenomics Shu, Jiantao Yang, Mingkun Zhang, Cheng Yang, Pingfang Ge, Feng Li, Ming Curr Genomics Article BACKGROUND: Rhizoctonia solani is a pathogenic fungus that causes serious diseases in many crops, including rice, wheat, and soybeans. In crop production, it is very important to understand the pathogenicity of this fungus, which is still elusive. It might be helpful to comprehensively understand its genomic information using different genome annotation strategies. METHODS: Aiming to improve the genome annotation of R. solani, we performed a proteogenomic study based on the existing data. Based on our study, a total of 1060 newly identified genes, 36 revised genes, 139 single amino acid variants (SAAVs), 8 alternative splicing genes, and diverse post-translational modifications (PTMs) events were identified in R. solani AG3. Further functional annotation on these 1060 newly identified genes was performed through homology analysis with its 5 closest relative fungi. RESULTS: Based on this, 2 novel candidate pathogenic genes, which might be associated with pathogen-host interaction, were discovered. In addition, in order to increase the reliability and novelty of the newly identified genes in R. solani AG3, 1060 newly identified genes were compared with the newly published available R. solani genome sequences of AG1, AG2, AG4, AG5, AG6, and AG8. There are 490 homologous sequences. We combined the proteogenomic results with the genome alignment results and finally identified 570 novel genes in R. solani. CONCLUSION: These findings extended R. solani genome annotation and provided a wealth of resources for research on R. solani. Bentham Science Publishers 2021-12-30 2021-12-30 /pmc/articles/PMC8844941/ /pubmed/35283670 http://dx.doi.org/10.2174/1389202922666211011143957 Text en © 2021 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Shu, Jiantao
Yang, Mingkun
Zhang, Cheng
Yang, Pingfang
Ge, Feng
Li, Ming
Improving the Genome Annotation of Rhizoctonia solani Using Proteogenomics
title Improving the Genome Annotation of Rhizoctonia solani Using Proteogenomics
title_full Improving the Genome Annotation of Rhizoctonia solani Using Proteogenomics
title_fullStr Improving the Genome Annotation of Rhizoctonia solani Using Proteogenomics
title_full_unstemmed Improving the Genome Annotation of Rhizoctonia solani Using Proteogenomics
title_short Improving the Genome Annotation of Rhizoctonia solani Using Proteogenomics
title_sort improving the genome annotation of rhizoctonia solani using proteogenomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844941/
https://www.ncbi.nlm.nih.gov/pubmed/35283670
http://dx.doi.org/10.2174/1389202922666211011143957
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