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Title:Detection of four new tomato viruses in Serbia using post hoc high-throughput sequencing analysis of samples from a large-scale field survey
Authors:ID Vučurović, Ana (Author)
ID Kutnjak, Denis (Author)
ID Mehle, Nataša (Author)
ID Stanković, Ivana (Author)
ID Pecman, Anja (Author)
ID Bulajić, Aleksandra (Author)
ID Krstić, Branka (Author)
ID Ravnikar, Maja (Author)
Files:URL URL - Source URL, visit https://apsjournals.apsnet.org/doi/10.1094/PDIS-09-20-1915-RE
 
.pdf PDF - Presentation file, download (1,22 MB)
MD5: 05797B731A6DA65249647008F77C16F1
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo NIB - National Institute of Biology
Abstract:Tomato production worldwide is affected by numerous plant virus species. The early and accurate detection of viruses is a critical step for disease control. However, the simultaneous detection of the most known tomato viruses can be difficult because of the high number and diversity of tomato-infecting viruses. Here, we have identified four new viruses in Serbia by applying target-independent small RNA high-throughput sequencing (HTS). HTS was applied on pools of samples and separate samples, in total comprising 30 tomato samples that exhibited (severe) virus-like symptoms and were collected in Serbia during three annual surveys (2011 to 2013). These samples had previously tested negative for the presence of 16 tomato viruses using targeted detection methods. Three divergent complete genome sequences of Physostegia chlorotic mottled virus were obtained from different localities, indicating for the first time that this virus is widespread in Serbia and might represent an emergent viral pathogen of tomato. The tomato torrado virus was detected at one locality with devastating yield losses. The southern tomato virus was detected at two localities, and the spinach latent virus was detected at one locality. In addition, we detected the presence of one already-known virus in Serbia, the tomato spotted wilt orthotospovirus. All the HTS results were subsequently confirmed by targeted detection methods. In this study, the successful application of post hoc HTS testing of a limited number of pooled samples resulted in the discovery of new viruses. Thus, our results encourage the use of HTS in research and diagnostic laboratories, including laboratories that have limited resources to resolve disease etiology.
Keywords:viruses, tomato, detection, identification
Publication status:Published
Publication version:Version of Record
Publication date:06.10.2021
Year of publishing:2021
Number of pages:str. 2325-2332
Numbering:Vol. 105, no. 9
PID:20.500.12556/DiRROS-19500 New window
UDC:581.2
ISSN on article:0191-2917
DOI:10.1094/PDIS-09-20-1915-RE New window
COBISS.SI-ID:61182723 New window
Publication date in DiRROS:19.07.2024
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Downloads:2
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Record is a part of a journal

Title:Plant disease
Shortened title:Plant dis.
Publisher:American Phytopathological Society
ISSN:0191-2917
COBISS.SI-ID:5660935 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0165-2015
Name:Biotehnologija in sistemska biologija rastlin

Funder:EC - European Commission
Project number:618127
Name:Coordination of the Agricultural Research in the Mediterranean
Acronym:ARIMNET2

Funder:MESTD - Ministry of Education, Science and Technological Development of Republic of Serbia
Project number:200116
Name:Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 451-03-68/2020-14/200116 (University of Belgrade, Faculty of Agriculture)

Funder:EC - European Commission
Funding programme:COST Action
Project number:FA1407

Funder:Other - Other funder or multiple funders
Funding programme:ArimNet Emaramb
Project number:GA_618127

Funder:EC - European Commission
Funding programme:Application of Next Generation Sequencing in Detection of Tomato Viruses in Serbia and Slovenia
Project number:004

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:virusi, patologija rastlin, paradižnik, odkrivanje, identifikacija


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