332
Views
5
CrossRef citations to date
0
Altmetric
Pathology and parasitology

The first molecular characterization of Lake Sinai virus in honey bees (Apis mellifera) and Varroa destructor mites in Iran

, ORCID Icon, & ORCID Icon
Pages 1176-1182 | Received 23 Jun 2020, Accepted 23 Feb 2021, Published online: 25 May 2021
 

Abstract

The honey bee is a key pollinator in natural and agricultural ecosystems. Unfortunately, the population of this rather important insect is declining worldwide due to factors such as infection with RNA viruses. Apiaries in Iran are also faced with these challenges, therefore, this study was conducted to identify the Lake Sinai virus (LSV) in both honey bee colonies and associated Varroa destructor mites, as well as phylogenetic analysis of the virus in Iran. In the present study, a total of 30 apiaries with a distance of at least 10 km from each other were selected in Hamedan, Iran. Samples including 10 adults and 10 immature bees (capped larva) and 10 Varroa mites were collected from each colony. After RNA extraction, one-step RT-PCR was performed and the phylogenetic tree was constructed. The results showed that the majority of sampled apiaries were infested with Varroa mites. It was also found that out of 30 apiaries, Varroa mites and capped larvae were infected with LSV in 13 (43.3%), and 3 (10%) apiaries, respectively. The results of the phylogenetic analysis also showed two distinct clades in the samples of adult honey bees and Varroa mites (including LSV isolate Hamedan-1, isolate Hamedan-4 and isolate Hamedan-5 belonging to the same clade, and samples of larvae and adult honey bees (including isolate Hamedan-2 and isolate Hamedan-3) placed in the same clade. Based on the results, it can be concluded that LSV is present in Iran apiaries, and country-wide implementation of prevention and control measures is warranted.

Acknowledgments

Our appreciation goes to Miss Sakineh Azami for her laboratory technical assistance. We also thank Dr Ali Sadeghi nasab for his help in the statistical analysis of the data.

Disclosure statement

The authors declare no conflict of interest.

Additional information

Funding

The financial support was provided by Bu-Ali Sina University research grant.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.