,Species- and sex-related differences of four laboratory tephritid fruit fly (Diptera: Tephritidae) gut microbiomes evaluated with full-length 16S rRNA PacBio Kinnex sequencing. Insect gut microbiomes are shaped by multiple endogenous and environmental factors. Our study evaluated the impacts of how host sex and species influence the microbiome in laboratory-reared tephritids fruit flies when controlled for location, time, and adult diet. We evaluated the gut microbiome of four lines of pest tephritid fruit fly adults (Bactrocera dorsalis, Bactrocera latifrons, Ceratitis capitata, Zeugodacus cucurbitae) using near full-length 16S rRNA sequencing with a PacBio Kinnex concatenation-based approach. We analyzed groups of males and females from each species at the same set of time, across four timepoints in a core insectary. Results demonstrate a clear impact of fruit fly species on the gut microbiome composition of the different fruit flies. Furthermore, for B. dorsalis, B. latifrons, and C. capitata, we saw an influence of sex on amplicon sequence variant (ASV) composition. However, while there was a separation of samples between the sexes for each timepoint, there was no characteristic male or female microbiome in all cases.,Dataset includes ASV count, taxonomy, fasta files, metadata, and R scripts. Raw sequence data has been deposited to the National Center for Biotechnology Information Sequence Read Archive (NCBI SRA) under the accession number PRJNA1196954.,

,Study aim was to determine establishment success of antibiotic resistance bacteria in laboratory and mass-reared Mediterranean fruit fly (Ceratitis capitata). Experiments conducted in Hilo, HI, USA by the USDA ARS. Datasets include two different datatypes: 1) data from plate counts (CFUs) on nutrient-rich and antibiotic-amended data and 2) amplicon sequence variant (ASVs) count data from full-length 16S rRNA sequencing using PacBio Kinnex mas-Seq on a PacBio Revio sequencer and associated taxonomy and .fasta files. Experiments were performed with two different fly lines, one maintained by the USDA ARS and another by California Department of Agriculture (CDFA). Experiments were performed with a target Enterobacter strain that was transformed with mScarlet and antibiotic resistance selection markers. Experiments evaluated the impact of fly age and inoculation formulation (via diet) on the conditions in which bacteria would be established under different dietary conditions. Data show that liquid diets support establishment of bacteria, regardless of age class and source. Sequence data suggest additional Enterobacter strains are present in flies beyond the target strain and these can be distinguished via full-length 16S rRNA sequencing, but not by shorter amplicon fragments.,

,Data include microbial count data (CFUs), 16S-rRNA copy number data (qPCR), and microbial community (microbiome) data from the guts of the invasive tephritid fruit flies, melon fly (Zeugodacus cucurbitae) and medfly (Ceratitis capitata).,Resources in this dataset:,

,We conducted a fly rearing experiment to characterize diet-induced changes in the microbiome of female Bactrocera dorsalis. In order to explicitly investigate the impacts of larval diet on the microbiome, including potential stable bacterial constituents of B. dorsalis, we performed 16S rRNA sequencing on the gut tissues of teneral female flies reared from 4 different host fruits (guava, mango, papaya, and rose-apple) infested using a single cohort of wild B. dorsalis that emerged from tropical almond (mother flies). We provide processed data and R code for our analysis.,Raw data (.fastq files) for analysis are located at NCBI SRA under accession number PRJNA1061202,

,In this study, we investigated how protein deprivation following adult emergence influences lethal and sublethal effects of boric acid on the pest tephritid melon fly, Zeugodacus cucurbitae. We performed a series of experiments to address the impact of prior diet on mortality, diet consumption, enzymes involved in detoxification and antioxidation, and fly activity. Newly emerged melon fly adults were provided either diet containing 3:1 sucrose:yeast hyrdrolysate or just sucrose for three days prior to bioassays. The raw data from the bioassays and R scripts for the analyses are provided.,

,This package includes the data from field experiments to measure the range of attraction of two "male lures" on two different pest fruit fly species via Mark-Release-Recapture (MRR). These values will be of importance to those seeking to optimize fruit fly detection networks or other networks of traps. Methyl eugenol is found to be more attractive to Bactrocera dorsalis compared with trimedlure to Ceratitis capitata. Data consists of number released, proportion responsive, quality control assay results, and recaptures in traps set in a grid pattern after the release.,Resources in this dataset:,,

,House flies (Musca domestica L.) are a global pest ubiquitous in urban and agricultural settings. Their dependence on microbe-rich substrates for development, as well as ability to acquire and transmit pathogenic and antimicrobial resistant (AMR) bacteria, make house flies a risk to human and animal health. Large livestock operations, like confined cattle, are environments which are conducive to both house flies and developing AMR due to large accumulations of animal feed and waste. However, little is known about what factors influence bacterial abundances and AMR prevalence carried by house flies in confined cattle operations. Adult house flies (n=6/fly sex/location) were collected on alternating weeks mid-August through early October of 2019 from a dairy and beef feedlot cattle operation in each of three Kansas counties (Riley, Marion, and Washington). We enumerated colony forming units (CFUs) of culturable aerobic bacteria and suspected coliforms (SC) from house fly homogenates on nonselective (tryptic soy agar, TSA) and selective (violet-red bile agar, VRBA) media to investigate factors, such as fly sex, farm type, location, and climate, which may be associated with bacterial abundances carried by house flies. Further, we screened unique morphotypes of SC isolates for tetracycline (Tet) resistance, then tested for additional resistance to florfenicol (Flo), enrofloxacin (Enr) ceftiofur (Cef), and ampicillin (Amp) to identify multi-drug resistant (MDR) isolates. AMR isolates were identified via 16S rRNA Sanger sequencing or, in select cases, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS).,Resources in this dataset:,Resource description: Raw CFU counts for culturable aerobic bacteria (TSA) and suspected coliforms (VRBA) cultured from replica plating of ten-fold serially diluted house fly homogenates.,Resource File: Raw_daily_avg_climate_Jul-Oct 2019.xlsx,Resource description: Raw climate data downloaded from Kansas Mesonet weather stations for sampling period.,Resource File: Metadata_bacterial_isolates.xlsx,Resource description: Spreadsheet gives information linking individual isolate (Isolate ID #) data resources with which fly they originated from and other collection information (fly sex, farm type, collection date, county).,Resource File: Raw_isolates_disk_susceptibility.xlsx,Resource description: Measured inhibition zones (in millimeters) of individual isolates which underwent disk susceptibility testing against 5 antibiotics (Tet, Flo, Enr, Cef, Amp).,Resource file: Raw_isolates_MALDI-TOF_outputs.xlsx,Resource description: Spreadsheet of best and second-best matches of Bruker MALDI Biotyper Identification Results for individual isolates (Sample ID). Each isolate was measured in duplicate.,All trimmed Sanger sequence reads of AMR isolates are publicly available at GenBank (PQ636534 - PQ636762).,The code repository for 16S sequence analysis for this project can be found here:https://github.com/vlpickens04/Sanger_Phred_Code,

Insect-Mediated Contaminant Flux model parameters and outputs. This dataset is associated with the following publication: Olson, C.I., G.B. Beaubien, R.R. Otter, D.M. Walters, and M.A. Mills. Ecotoxicological Studies Indicate That Sublethal and Lethal Processes Limit Insect-Mediated Contaminant Flux. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(9): 1982-1992, (2023).

,The bacterial 16S tag-encoded FLX-titanium amplicon pyrosequencing (bTEFAP) method was used to carry out the classification analysis of bacterial flora in adult female and male horn flies and horn fly eggs.,The bTEFAP method identified 16S rDNA sequences in our samples which allowed the identification of various prokaryotic taxa associated with the life stage examined. This is the first comprehensive report of bacterial flora associated with the horn fly using a culture-independent method. Several rumen, environmental, symbiotic and pathogenic bacteria associated with the horn fly were identified and quantified. This is the first report of the presence of Wolbachia in horn flies of USA origin and is the first report of the presence of Rikenella in an obligatory blood feeding insect.,Adult horn flies were collected on a single date from pastured cattle at the Louisiana State University Agricultural Center, St. Gabriel Research Station using aerial nets. Within 1 h after collection the flies were transferred to large sterile Erlenmeyer flasks and maintained in total darkness for 1.5 h and 30°C to allow flies to oviposit on the flask bottom [73]. Adult flies were released from the flasks into a cage and eggs were collected by rinsing with distilled water onto a filter paper. Both the eggs and adult flies were frozen at −80°C. To preserve nucleic acid integrity, adults were sexed on dry ice prior to freezing. Each sample used for DNA extraction and pyrosequencing consisted of 5 adult males, 5 adult females or 50 eggs pooled together and homogenized. Three replicates of adult male, adult female and eggs were analyzed.,The horn fly, Haematobia irritans, is one of the most economically important pests of cattle. Insecticides have been a major element of horn fly management programs. Growing concerns with insecticide resistance, insecticide residues on farm products, and non-availability of new generation insecticides, are serious issues for the livestock industry. Alternative horn fly control methods offer the promise to decrease the use of insecticides and reduce the amount of insecticide residues on livestock products and give an impetus to the organic livestock farming segment. The horn fly, an obligatory blood feeder, requires the help of microflora to supply additional nutrients and metabolize the blood meal. Recent advancements in DNA sequencing methodologies enable researchers to examine the microflora diversity independent of culture methods.,,

This dataset shows the effects of imazapic (detected in the Great Barrier Reef catchments) on the growth rate (from cell density data) on the cyanobacteria Microcystis aeruginosa over a 72 hour exposure period during laboratory experiments conducted in 2019. The aims of this project were to develop and apply standard ecotoxicology protocols to determine the effects of Photosystem II (PSII) and alternative herbicides on the growth of the cyanobacteria Microcystis aeruginosa. Growth bioassays were performed over 3-day exposures using imazapic which has been detected in the Great Barrier Reef catchment area (O’Brien et al. 2016). This toxicity data will enable improved assessment of the risks posed by the herbicide imazapic to cyanobacteria for both regulatory purposes and for comparison with other taxa. Methods: The cyanobacteria Microcystis aeruginosa (Kutzing) Kutzing 1846 (Cyanophyceae) (CS338/01) was purchased from the Australian National Algae Supply Service, Hobart (CSIRO). Cultures of M. aeruginosa were established in MLA medium (Bolch and Blackburn 1996). Cultures were maintained in sterile 250 mL Erlenmeyer flasks as batch cultures in exponential growth phase with weekly transfers of 1 - 3 mL of a 7 day-old M. aeruginosa suspension to 100 mL MLA medium under sterile conditions. Clean culture solutions were maintained at 26 ± 2°C, and under a 12:12 h light:dark cycle (91 ± 12 µmol photons m–2 s–1). Imazapic stock solution was prepared using PESTANAL (Sigma-Aldrich) analytical grade (HPLC greater than or equal to 98%) imazapic (CAS 104098-48-8). The selection of imazapic was based on application rates and detection in coastal waters of the GBR (Grant et al. 2017, O’Brien et al. 2016). Imazapic stock solution was prepared in 1 L volumetric flasks using milli-Q water. Imazapic was dissolved using analytical grade methanol (final concentration < 0.01% (v/v) in exposures). Cultures of M. aeruginosa were exposed to a range of herbicide concentrations over a period of 72 h. The inoculum was taken from cultures in the exponential growth phase (4 - 7-day-old cultures). A M. aeruginosa working suspension was prepared in a 100 mL volumetric flask. A 1:10 and 1:100 dilution was prepared and counted using a haemocytometer under a compound microscope to determine appropriate dilution volumes. The pre-determined inoculum was added to 50 mL of each test and control treatment replicates to the required dilution (3.1 x 104 cells / mL). A control (no herbicide) and solvent control treatment was added to support the validity of the test protocols and to monitor continued performance of the assays. All treatment concentrations were prepared in 0.5x strength MLA medium. Replicates were incubated at 26.6 ± 0.5 °C under a 12:12 h light:dark cycle (59 ± 9.7 µmol photons m–2 s–1). Sub-samples were taken from each replicate to measure cell densities of algal populations at 72 h using a haemocytometer under phase contrast conditions. Cell counts were done manually. Specific growth rates (SGR) were expressed as the logarithmic increase in cell density from day i (ti) to day j (tj) as per equation (1), where SGRi-j is the specific growth rate from time i to j; Xj is the cell density at day j and Xi is the cell density at day i (OECD 2011). SGR i-j = [(ln Xj - ln Xi )/(tj - ti )] (day-1) (1) SGR relative to the solvent control treatment was used to derive chronic effect values for growth inhibition. A test was considered valid if the SGR of solvent control replicates was ? 0.92 day-1 (OECD 2011). Physical and chemical characteristics (pH, electrical conductivity and temperature) of each treatment solution was measured at 0 hr and 72 hr. Growth cabinet temperature was logged in 15-min intervals over the total test duration. Analytical samples were taken at 0 hr and 72 hr. Mean percent inhibition in SGR of each treatment relative to the control treatment was calculated as per equation (2)(OECD 2011), where Xcontrol is the average SGR of solvent control