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Data from: Pyrosequencing-Based Analysis of the Microbiome Associated with the Horn Fly, Haematobia irritans
,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.,,
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Data from: The assembled transcriptome of the adult horn fly, Haematobia irritans
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,The horn fly, Haematobia irritans irritans (Linnaeus, 1758; Diptera: Muscidae), a hematophagous external parasite of cattle, causes considerable economic losses to the livestock industry worldwide. This pest is mainly controlled with insecticides; however, horn fly populations from several countries have developed resistance to many of the products available for their control. In an attempt to better understand the adult horn fly and the development of resistance in natural populations, we used an Illumina paired-end read HiSeq and GAII approach to determine the transcriptomes of untreated control adult females, untreated control adult males, permethrin-treated surviving adult males and permethrin + piperonyl butoxide-treated killed adult males from a Louisiana population of horn flies with a moderate level of pyrethroid resistance. A total of 128,769,829, 127,276,458, 67,653,920, and 64,270,124 quality-filtered Illumina reads were obtained for untreated control adult females, untreated control adult males, permethrin-treated surviving adult males and permethrin + piperonyl butoxide-treated killed adult males, respectively. The de novo assemblies using CLC Genomics Workbench 8.0.1 yielded 15,699, 11,961, 2672, 7278 contigs (≥ 200 nt) for untreated control adult females, untreated control adult males, permethrin-treated surviving adult males and permethrin + piperonyl butoxide-treated killed adult males, respectively. More than 56% of the assembled contigs of each data set had significant hits in the BlastX (UniProtKB/Swiss-Prot database) (E <0.001). The number of contigs in each data set with InterProScan, GO mapping, Enzyme codes and KEGG pathway annotations were: Untreated Control Adult Females – 10,331, 8770, 2963, 2183; Untreated control adult males – 8392, 7056, 2449, 1765; Permethrin-treated surviving adult males – 1992, 1609, 641, 495; Permethrin + PBO-treated killed adult males – 5561, 4463, 1628, 1211.,Data is with this article and also available at the National Center for Biotechnology Information (NCBI) Short Read Archive (SRA) through the direct link https://www.ncbi.nlm.nih.gov/sra/SRP131897 or through SRA accession number SRP131897. The adult horn fly transcriptome Shotgun Assembly project has been deposited at DDBJ/EMBL/GenBank under the accession GGLM00000000. The version described in this paper is the first version, GGLM01000000. The overall BioProject ID is PRJNA429442 and the BioSample accessions are SAMN08355023, SAMN08355024, SAMN08355025, and SAMN08355026.,,
Data from: Tephritid fruit fly gut bacterial population and community dynamics following adult emergence
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,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:,
Data From: Effects of species and sex on the gut microbiome of four laboratory-reared fruit fly lines (Diptera: Tephritidae) using full-length 16S rRNA PacBio Kinnex sequencing
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,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.,
Data from: Full-length 16S rRNA sequencing on target microbe establishment in laboratory and mass-reared Mediterranean fruit fly
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,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 From: Bacterial Communities of House Flies from Beef and Dairy Cattle Operations Are Diverse and Contain Pathogens of Medical and Veterinary Importance
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,Adult house flies (Musca domestica L.) are important reservoirs and mechanical vectors of bacteria in livestock operations. House fly bacterial communities are influenced by their local environment, yet a comprehensive understanding of bacterial diversity, pathogen prevalence, and bacterial source is not fully understood. We characterized bacterial communities from adult female house flies and associated manure samples from beef and dairy cattle farms in Kansas, Oklahoma, and Texas over four months (July-October). Bacterial community composition in flies and manure reflected the local environment, and house flies shared the majority (≥99%) of bacterial taxa with manure. The variability of bacterial diversity was greater among individual fly (species richness range: 48 - 1747) samples than manure (species richness range: 345 - 1162). Temporal variability of fly bacterial diversity was observed within each farm type. Bacterial taxa of veterinary and medical importance such as Corynebacterium, Turicibacter, Staphylococcus, Streptococcus, and Acinetobacter were highly prevalent in flies, constituting core bacterial communities. The prevalence of bacterial taxa associated with bovine keratoconjunctivitis (IBK) and bovine respiratory disease (BRD) was higher in flies than in manure and prevalence varied monthly. This study underscores the crucial role house flies play as carriers of cattle pathogens, contributing to their dissemination among animals and to off-site locations, where they pose a threat to surrounding communities and agricultural operations.,The raw Illumina MiSeq sequence data for this project can be found here: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1009094,Resources in this dataset:,,
16S rRNA whole-organism microbiome sequencing for larval insects, adult insects, and riparian spiders collected from Torch Lake and Gratiot Lake, Keweenaw Peninsula, Michigan, USA, July and October 2021
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This data release includes sampling location data, the information about sequenced organisms and the SRA accession number for the 16S whole-organism sequencing data for larval aquatic insects, emergent adult insects, and two riparian spiders from Torch Lake and Gratiot Lake (N=3 sites at each Lake). Torch Lake (Houghton County, Keweenaw Peninsula, Michigan, USA) is a Great Lakes Area of Concern (AOC) and a former EPA Superfund Site and owing to a high concentration of copper and other co-occurring metals from historic mining operations, while no mining or processing activity has taken place in the nearby Gratiot Lake basin (Keweenaw County, Keweenaw Peninsula, Michigan, USA).
Specimens collected for pathogen profiling in North American lagomorphs
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Collection data for rabbit tissues sequenced for metagenomic evaluation of selected tissues.
Pd qPCR Interlaboratory Testing Results
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These data were collected as part of a voluntary initiative to create a White-Nose Syndrome Diagnostic Laboratory Network among laboratories participating in research and surveillance for Pseudogymonascus destructans (Pd) - the fungal pathogen causing White-Nose Syndrome in bats. Pd_qPCR_InterlaboratoryLODdata.xlsx is raw qPCR data from multiple laboratories running serial dilutions of Pd gBlock in known concentrations for the collectively used Muller (2013) Pd qPCR assay. Pd_qPCR_InterlaboratoryResults_LOD.xlsx contains the data output for each laboratory from running a generic LOD/LOQ calculator script. the generic LOD/LOQ calculator script is available at:https://github.com/cmerkes/qPCR_LOD_Calc. Pd_qPCR_InterlaboratoryPTResults_PanelData.xlsx contains the raw qPCR data from multiple laboratories running blinded samples spiked with known concentrations of Pd conidia. Each sample was extracted once and run in triplicate using the Muller (2013) assay. Pd_qPCR_InterlaboratoryPTResults_PanelResults contains the results of the blinded samples in each laboratory panel as both qPCR Ct values per replicate, and final overall sample result according to the WNS Case Definition. Pd_qPCR_InterlaboratoryPTResults_Standards.xlsx contains the results of the standard curves run by each laboratory in conjunction with the blinded sample panel.
Pd qPCR Interlaboratory Testing Results
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These data were collected as part of a voluntary initiative to create a White-Nose Syndrome Diagnostic Laboratory Network among laboratories participating in research and surveillance for Pseudogymonascus destructans (Pd) - the fungal pathogen causing White-Nose Syndrome in bats. Pd_qPCR_InterlaboratoryLODdata.xlsx is raw qPCR data from multiple laboratories running serial dilutions of Pd gBlock in known concentrations for the collectively used Muller (2013) Pd qPCR assay. Pd_qPCR_InterlaboratoryResults_LOD.xlsx contains the data output for each laboratory from running a generic LOD/LOQ calculator script. the generic LOD/LOQ calculator script is available at:https://github.com/cmerkes/qPCR_LOD_Calc. Pd_qPCR_InterlaboratoryPTResults_PanelData.xlsx contains the raw qPCR data from multiple laboratories running blinded samples spiked with known concentrations of Pd conidia. Each sample was extracted once and run in triplicate using the Muller (2013) assay. Pd_qPCR_InterlaboratoryPTResults_PanelResults contains the results of the blinded samples in each laboratory panel as both qPCR Ct values per replicate, and final overall sample result according to the WNS Case Definition. Pd_qPCR_InterlaboratoryPTResults_Standards.xlsx contains the results of the standard curves run by each laboratory in conjunction with the blinded sample panel.
Data from: Raw Pacific Biosciences and Illumina sequencing reads and assembled genome data for cattle ticks Rhipicephalus microplus and Rhipicephalus annulatus
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,This study produced reference quality genomes of two cattle ticks Rhipicephalus microplus and Rhipicephalus annulatus, which can be used to identify drug targets with acaricidal activity and refine anti-tick vaccine approaches.,,