Exploring virus presence in field-collected potato leaf samples using RNA sequencing

Background

The quick and accurate identification of viruses is essential for plant disease management. Next-generation sequencing (NGS) technology may allow the discovery, detection, and identification of plant pathogens. This study adopted RNA-sequencing (RNA-Seq) technology to explore the viruses in three potato plants (S3, S4, and S6) growing under field conditions.

Results

Potato-known infecting viruses, such as alfalfa mosaic virus (AMV), potato leafroll virus (PLRV), and potato virus Y (PVY), were identified using bioinformatics programs and validated using RT-PCR. The presence of these potato viruses was also confirmed by visual inspection of host symptoms. In addition, the nearly complete genome of PLRV and the complete or partial genome sequence of multipartite virus segments have been identified. Besides the three major potato viruses that BLASTn analysis revealed were present in our samples, BLASTx analysis revealed some reads are derived from other potato viruses, such as potato virus V (PVV), Andean potato latent virus (APLV), and tomato chlorosis virus (ToCV), which are not frequently reported in potato field screenings in Egypt. Other microbial agents, such as bacteria and fungi, were also identified in the examined sample sequences. Some mycovirus sequences derived from ourmia-like viruses and Alternaria alternata chrysovirus were also identified in sample S4, confirming the complexity of the potato microbiome under field conditions.

Conclusion

NGS quickly and accurately identifies potato plant viruses under field conditions. Implementing this technology on a larger scale is recommended to explore potato fields and imported plants, where symptoms may be absent, unspecific, or only triggered under certain conditions.

Loại tài liệu:

Article - Bài báo

Tác giả:

Elwan, Esraa A.

Đề mục:

Journal of Genetic Engineering and Biotechnology

Nhà xuất bản:

Elsevier

Ngày xuất bản:

December 2023

Số trang/ tờ:

Định dạng:

pdf

Định danh tư liệu:

DOI: https://doi.org/10.1186/s43141-023-00561-2 | ISSN 1687-157X

Nguồn gốc:

Journal of Genetic Engineering and Biotechnology, Volume 21, Issue 1, December 2023, 106

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