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ReviewActa parasitologica2025

Parasitic Mites of Honey Bees (Apis Spp.): A Detailed Review of Varroa destructor in Parasitism, Pathogen Transmission and its Management.

Ganesan Jeyapriya, Ettiappan Sumathi, Vangili Ramasamy Saminathan, Perumal Renukadevi, Ramasamy Sasikala, Sundaravadivel Sathiya Priya, Sivakumar Kowsika, Subramanian Pradeep

Abstract readReview
PubMed Publisher
In one paragraph

Review in Acta parasitologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ganesan JeyapriyaDepartment of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.ORCID http://orcid.org/0009-0004-8201-9975
Ettiappan SumathiDepartment of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India. sumathi.e@tnau.ac.in.ORCID http://orcid.org/0000-0002-0706-6315
Vangili Ramasamy SaminathanDepartment of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.ORCID http://orcid.org/0000-0002-6456-1814
Perumal RenukadeviDepartment of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.ORCID http://orcid.org/0000-0001-9665-1681
Ramasamy SasikalaDepartment of Oilseeds, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.ORCID http://orcid.org/0000-0002-4382-1808
Sundaravadivel Sathiya PriyaDepartment of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.ORCID http://orcid.org/0009-0009-1575-428X
Sivakumar KowsikaDepartment of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.ORCID http://orcid.org/0000-0002-1356-1910
Subramanian PradeepDepartment of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.ORCID http://orcid.org/0000-0002-3817-0086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The parasitic mite Varroa destructor is the primary factor contributing to global honeybee (Apis mellifera) colony losses, posing a sustainable challenge to apiculture and pollination services. Its intricate life cycle adaptive reproductive strategies, and advanced sensory mechanisms have facilitated its emergence as the most destructive honeybee parasite. V. destructor uses highly specialized feeding strategies that extract essential nutrients from their hosts and introduce various pathogens, causing honeybee health problems. The mite functions as a viral vector, particularly in the case of the transmission and proliferation of deformed wing virus (DWV), which has resulted in significant colony weakening and collapse. V. destructor has emerged as the most destructive ectoparasite of honeybees, compromising both individual bee health and overall colony resilience. Its success is attributed not only to its direct feeding behavior and viral vectoring ability, but also to advanced chemical communication, immune suppression, and behavioral adaptations. Synergistic mite-pathogen interactions highlight the need for effective control measures. Current control approaches include advanced detection systems in the form of Var-Gor, focused neural and viral pathway inhibitions, and other control measures such as essential oils. The development of synergistic management strategies involving biotechnology, genetic resistance, and sustainable treatment alternatives, is critical to control V. destructor infestations. A deeper understanding of the evolutionary arms race between honeybees and V. destructors will be crucial to the development of long-term, sustainable control strategies that safeguard bee populations and preserve pollination services, which are vital to world agriculture. This review aims to synthesize current understanding of V. destructor biology, its interactions with honeybee host (A. mellifera and A. cerana), and the associated microbial and viral pathogens. We also explore recent developments in detection, population dynamics, and sustainable management strategies including botanicals, essential oils, and organic acids. By integrating ecological, physiological, and molecular perspectives, this review highlights the need for multidisciplinary approaches to effectively manage Varroa and mitigate its impact on global apiculture.

Indexed as

VarroidaeAnimalsBeesHost-Parasite InteractionsRNA VirusesChemical communication in mitesColony health dynamicsImmune suppression in beesNext-gen Varroa controlParasitic adaptationVector-borne honeybee diseases

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.