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First Report of Beet Yellows Virus Causing Virus Yellows in Sugar Beet in Serbia.

Overview of attention for article published in Plant Disease, June 2023
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Title
First Report of Beet Yellows Virus Causing Virus Yellows in Sugar Beet in Serbia.
Published in
Plant Disease, June 2023
DOI 10.1094/pdis-04-23-0660-pdn
Pubmed ID
Authors

Ivana Stanković, Katarina Zečević, Živko Ćurčić, Branka Krstic

Abstract

Several viruses have been described to infect sugar beet (Beta vulgaris var. saccharifera L.), but virus yellows disease is one of the most important diseases in many sugar beet growing areas. It is caused by four viruses either in single or mixed infection, including the poleroviruses beet western yellows virus (BWYV), beet mild yellowing virus (BMYV), and beet chlorosis virus (BChV), and a closterovirus beet yellows virus (BYV) (Stevens et al. 2005; Hossain et al. 2021). In August 2019, five samples of sugar beet plants showing yellowing on interveinal leaf tissue were collected in a sugar beet crop in the Novi Sad locality (Vojvodina Province, Serbia). Double-antibody sandwich (DAS)-ELISA commercial antisera (DSMZ, Braunschweig, Germany) were used to test the collected samples for the presence of the most common sugar beet viruses: beet necrotic yellow vein virus (BNYVV), BWYV, BMYV, BChV, and BYV. Commercial positive and negative controls were included in each ELISA test. BYV was serologically detected in all sugar beet samples, but no other viruses tested were found. The presence of BYV in sugar beet plants was further confirmed by conventional reverse transcription (RT)-PCR. Total RNAs were extracted using the RNeasy Plant Mini Kit (Qiagen, Hilden, Germany), according to the manufacturer's instructions, and used as template in the RT-PCR. Total RNAs extracted from healthy sugar beet leaves and molecular-grade water were included as negative controls in the RT-PCR analysis. RT-PCR confirmed the presence of BYV in all naturally infected plants using four sets of specific primers (Kundu and Ryšánek 2004), whereas no amplification products were obtained in the negative controls. The RT-PCR products derived from isolate 209-19 were purified and directly sequenced in both directions using the same primer pairs as in RT-PCR (accession numbers OQ686792 to OQ686794). Multiple sequence alignment of the L-Pro and N-terminal part of the MET genes showed that the Serbian BYV isolate had the highest nucleotide identity (99.01% and 100%, respectively) with several BYV isolates in GenBank originating from different parts of the world. Sequence analysis of the HSP70 gene showed the highest similarity (99.79%) with the BYV-Cro-L isolate found in Croatia. In a semi-persistent type of transmission test, aphids (Myzus persicae Sulzer) were allowed to feed on BYV-infected leaves of an ELISA-positive sample (209-19) for 48 hours, and then the aphids were transferred to five plants each of Spinacia oleracea cv. Matador and B. vulgaris ssp. vulgaris cv. Eduarda for a three-day inoculation access period. All test plants were successfully infected and exhibited symptoms in the form of interveinal yellowing up to three weeks postinoculation. RT-PCR confirmed the presence of BYV in all inoculated plants. A study by Nikolić (1951) suggested a possible presence of BYV based on symptoms observed on sugar beet plants in fields, but to our knowledge this is the first report of BYV in sugar beet in Serbia. As sugar beet is one of the most important industrial crops in Serbia, the presence of BYV could lead to significant losses, considering that aphid vectors are widespread under Serbian environmental conditions. The discovery of BYV on sugar beet should prompt a more detailed survey and subsequent testing of susceptible hosts to determine the distribution and incidence of BYV in Serbia.

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 June 2023.
All research outputs
#17,301,727
of 25,394,764 outputs
Outputs from Plant Disease
#2,993
of 4,708 outputs
Outputs of similar age
#221,232
of 384,432 outputs
Outputs of similar age from Plant Disease
#66
of 137 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,708 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 384,432 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.