Plant virome analysis by high-throughput sequencing: concepts and approaches

Area of Science:

• Plant virology
• Metagenomics
• Bioinformatics

Background:

• Metagenomic approaches using high-throughput sequencing (HTS) are crucial for detecting plant viral infections.
• This technology aids in identifying viral species, understanding population genetics, and developing diagnostic tools.

Purpose of the Study:

• To review key approaches for analyzing the plant virome using HTS.
• To detail the entire analysis process from sample collection to data interpretation.
• To discuss sequencing platforms, quality control, and bioinformatic strategies.

Main Methods:

• Review of existing literature and methodologies for plant virome analysis via HTS.
• Description of bioinformatic pipelines: read mapping, assembly/annotation, and taxonomic classification.
• Emphasis on validation through molecular genetic methods.

Main Results:

• HTS provides a powerful tool for identifying known and novel plant viruses.
• It facilitates phytosanitary monitoring, disease diagnostics, and quarantine compliance.
• The review outlines three primary bioinformatic approaches for data analysis.

Conclusions:

• HTS is an increasingly accessible and vital technology for plant virology research and diagnostics.
• Careful interpretation and validation of results are essential for accurate plant disease management.
• This review serves as a guide for researchers and specialists utilizing HTS for plant virome analysis.