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Data from: Galls formed by Aceria genistae (Acari: Eriophyidae) alter resource allocation of the invasive weed Scotch broom (Cytisus scoparius) v2

    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.

    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.

      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.

        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.