期刊
GENE
卷 786, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.gene.2021.145626
关键词
Virus; Endangered; Plant; Virome; Transcriptome; Public domain
资金
- Department of Science and Technology (DST), Government of India
Using a combination of bioinformatic analyses and Next Generation Sequencing, nine putative novel viruses were discovered in public domain transcriptome datasets of endangered plant species. This methodology can be useful for identifying new viruses in plant species with limited genomic information.
Viruses are abundant entities that infect almost every living organism. In recent years, Next Generation Sequencing coupled with bioinformatic analyses is widely adopted for identification of known and unknown viruses in a plant sample. In the present study, nine putative novel viruses were discovered from public domain transcriptome datasets of five endangered plant species by de novo assembly of reads using CLC and SPAdes followed by BLAST analysis. Of the identified viruses, ten coding-complete and five partial genomic segments were recovered. Based on phylogeny and BLAST analysis, the identified viruses were putatively assigned to various plant viral genera except dactylorhiza hatagirea benylike virus that probably represents a new group of plant virus. The methodology followed can be adopted for the discovery of novel viruses in plant species with little genomic information. Viral genome sequences recovered in the study will serve as a valuable resource for further characterization of identified viruses.
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