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Dataset Information

Detection and discovery of plant viruses in soybean by metagenomic sequencing.


ABSTRACT:

Background

Viruses negatively impact soybean production by causing diseases that affect yield and seed quality. Newly emerging or re-emerging viruses can also threaten soybean production because current control measures may not be effective against them. Furthermore, detection and characterization of new plant viruses requires major efforts when no sequence or antibody-based resources are available.

Methods

In this study, soybean fields were scouted for virus-like disease symptoms during the 2016-2019 growing seasons. Total RNA was extracted from symptomatic soybean parts, cDNA libraries were prepared, and RNA sequencing was performed using high-throughput sequencing (HTS). A custom bioinformatic workflow was used to identify and assemble known and unknown virus genomes.

SUBMITTER: Elmore MG 

PROVIDER: S-EPMC9472442 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature