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Current Genomics

Editor-in-Chief

ISSN (Print): 1389-2029
ISSN (Online): 1875-5488

Research Article

Improving the Genome Annotation of Rhizoctonia solani Using Proteogenomics

Author(s): Jiantao Shu, Mingkun Yang, Cheng Zhang, Pingfang Yang, Feng Ge* and Ming Li*

Volume 22, Issue 5, 2021

Published on: 03 December, 2021

Page: [373 - 383] Pages: 11

DOI: 10.2174/1389202922666211011143957

Price: $65

Abstract

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 toimprove 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.

Keywords: Rhizoctonia solani, proteogenomics, genomic annotation, pathogenic genes, post-translational modifications, SAAVs.

Graphical Abstract


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