mites | Ag Data Commons

Data from: Galls formed by Aceria genistae (Acari: Eriophyidae) alter resource allocation of the invasive weed Scotch broom (Cytisus scoparius)

The Scotch broom gall mite, Aceria genistae, attacks Cytisus scoparius (Scotch broom), an invasive shrub in California, USA. Feeding causes galls (localized tissue distortion) but the effect of A. genistae on overall host vigor and reproduction has not been assessed. We collected data on plant parts between two plants partitioned between two groups, heavily or lightly galled plants, at three northern California sites.

Honey bee (Apis mellifera) and Varroa mite (Varroa destructor) toxicity data

Toxicological data generated for Apis mellifera honey bees and an ectoparasitic mite (Varroa destructor) in laboratory toxicity trials are presented.

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Data from: A systematic review of the behavioral responses by stored-product arthropods to individual or blends of microbially-produced volatile cues

A systematic search of the literature using Google Scholar, (https://scholar.google.com/) and Web of Science was used to identify studies that examined the effects of individual compounds or mixtures of MVOCs on the behavioral responses of stored-product arthropods.

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Data from: Comparison of the performance of an eriophyid mite, Aceria salsolae, on nontarget plants in the laboratory and in the field

These data measure changes in population size of the eriophyid mite, *Aceria salsolae*, on target and nontarget plants in the laboratory and field experiments to help assess host plant specificity and suitability as a biological control agent of Russian thistle, *Salsola tragus*

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Varroa Pop

Varroa Pop simulates the growth of Varroa mite population in honey bee colonies. The program demonstratres how Varroa mites influence colony population growth throughout the year. You can change many factors through the menus in the model such as the initial population size, queen egg laying potential, and mite reproduction rates, so you can see how these factors influence both colony and mite population growth. We hope that the model will help you understand the interactions between the honey bee and mite populations and provide insights on how best to control Varroa in colonies.

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De novo transcriptome assembly and annotations for wheat curl mite (Aceria tosichella)

To study the impact of wheat streak mosaic virus on global gene expression in wheat curl mite, we generated a de novo transcriptome assembly using 50 x 50 paired end reads from the Illumina HiSeq 2500. Reads were assembled using Trinity (version 2.0.6) and contigs greater than 200 nt were retained. All assembled transcripts were annotated using the Trinotate pipeline using blastp searches against the Swiss-prot/Uni-Prot database, blastx searches against the Swiss-prot/Uni-Prot databases, HMM searches against the Pfam-A database, blastp searches against the non-redundant protein database, and signalP and tmHMM predictions. To reduce noise from low abundance transcripts not well supported by the data, we filtered the assembly to retain only those transcripts with TPM values >=0.5.

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Data from: How Hives Collapse: Allee Effects, Ecological Resilience, and the Honey Bee

A mathematical model is constructed to quantify the loss of resilience in collapsing honey bee colonies due to the presence of a strong Allee effect. In the model, recruitment and mortality of adult bees have substantial social components, with recruitment enhanced and mortality reduced by additional adult bee numbers.

Releases of Beneficial Organisms in the United States and Territories (ROBO) database

The [Releases Of Beneficial Organisms (ROBO)](https://www.ars-grin.gov/nigrp/robo.html) database consists of documented importations and releases of beneficial insects, mites, and microorganisms, as biological control agents of invasive pests and weeds, and as pollinators.

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USDA Agricultural Research Service- Patented Animal Production and Protection Technologies

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Insect Images: The Source for Entomology Photos

A joint project of The University of Georgia - Warnell School of Forestry and Natural Resources, College of Agricultural and Environmental Sciences - Department of Entomology, Center for Invasive Species and Ecosystem Health, Georgia Museum of Natural History, The Entomology Society of America and USDA Identification Technology Program, [Insect Images](https://www.insectimages.org/) image categories include: Insect Orders: Hymenoptera; Coleoptera; Hemiptera; Lepidoptera; Blattodea; Odonata; Dermaptera; Diptera; Orthoptera; Neuroptera; Phthiraptera; Mantodea; Thysanura; Isoptera; Thysanoptera; Phasmatoptera; and Related Organisms.

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