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  5. Vector-enabled metagenomics reveals the first detection of the geminivirus beet curly top Iran virus in Europe

Vector-enabled metagenomics reveals the first detection of the geminivirus beet curly top Iran virus in Europe

Author(s)
Miozzi, Laura
Rotunno, Silvia
Frascati, Fulco  
Marra, Monica
Nugnes, Francesco
more
Date Issued
August 4, 2026
Type
article
Volume
107
Issue
8
Start Page
002271
DOI
10.1099/jgv.0.002271
ISSN
1465-2099
Journal
JOURNAL OF GENERAL VIROLOGY  
Abstract
Geminiviruses are among the most threatening emerging insect-borne viruses and are responsible for serious outbreaks worldwide. Climate change (i.e. higher temperatures) could further exacerbate their impact on crops, highlighting the need for new diagnostic approaches to manage potentially dangerous situations. vector-enabled metagenomics (VEM) exploits the natural ability of highly mobile insects to accumulate viruses acquired from plants over time and space within an ecosystem; this approach is effective for monitoring the presence of new invasive or indigenous viruses in large areas. Geminiviruses have circular ssDNA genomes that can be readily targeted by rolling circle amplification (RCA). The combination of RCA and VEM largely increases the chances of detecting geminiviruses. This approach enabled us to identify the becurtovirus beet curly top Iran virus (BCTIV, Becurtovirus betae) in insects collected in Europe. BCTIV is a major pathogen of sugar beet but can also infect plants of other families; it is transmitted by cicadellids and has so far been detected only in Iran and Anatolia (Turkey). We also show that two cucurbit species, watermelon (Citrullus lanatus) and zucchini (Cucurbita pepo) are both natural and experimental hosts for BCTIV.
Subjects

Becurtovirus

agroinoculation

cicadellids

cucurbits

high-throughput seque...

rolling circle amplif...

Handle
https://dspace.unitus.it/handle/2067/72976
File(s)
Thumbnail Image
Name

Frascati_Vector.pdf

Size

3.57 MB

Format

Adobe PDF

Checksum (MD5)

e1944e5907e355ad74cba86b0f1fb811

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Project(s)
MUR: PRIMA_2018_Section2_00090
EU Horizon: 101131818
EC: IR0000005

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