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Figure 4 in Exploring the efficacy of RNAi-mediated gene knock-down via oral delivery of dsRNA in the Colorado potato beetle (Leptinotarsa decemlineata Say)
Figure 4. Influence of dsRNA ingestion on weight gain was calculated in the L. decemlineata larvae at different instars: (a) third instar and (b) fourth instar, following the feeding assay. Bars indicate standard error (SE) in columns. Different letters on the columns denote significant differences determined by ANOVA followed by the Tukey HSD test at a 5% significance level.
Figure 3 in Exploring the efficacy of RNAi-mediated gene knock-down via oral delivery of dsRNA in the Colorado potato beetle (Leptinotarsa decemlineata Say)
Figure 3. Effect of the dsRNA feeding on the V-ATPase expression levels in the L. decemlineata larvae at different instar stages: (a) First instar, (b) second instar, (c) third instar, and (d) fourth instar. Bars indicate the standard error (SE) in the columns. Different letters on the columns denote significant differences determined by ANOVA followed by the Tukey HSD test at a 5% significance level.
Figure 2. Mortality percentages after feeding the L in Exploring the efficacy of RNAi-mediated gene knock-down via oral delivery of dsRNA in the Colorado potato beetle (Leptinotarsa decemlineata Say)
Figure 2. Mortality percentages after feeding the L. decemlineata larvae dsRNA-treated leaves at different instars. (a) First instar, (b) second instar, (c) third instar, and (d) fourth instar. The percent mortality was compared in the larvae fed potato leaves pretreated with E. coli HT115 (DE3) cells expressing dsV-ATPase compared to the two controls, E. coli HT115 (DE3) cells with empty L4440 plasmid (dsEmp) and E. coli HT115 expressing dsGFP. Different letters on the data points denote significant differences determined by ANOVA followed by the Tukey honest significant difference (HSD) test at a 5% significance level.
Fig. 1 in First record of the sweet potato pest Bedellia somnulentella (Lepidoptera: Bedelliidae) in Brazil
Fig. 1. Larvae (A); pre-pupae (B); pupae (C); and adults (male and female) (D) of Bedellia somnulentella (Lepidoptera: Bedelliidae).
Fig. 2 in First record of the sweet potato pest Bedellia somnulentella (Lepidoptera: Bedelliidae) in Brazil
Fig. 2. Bedellia somnulentella (Lepidoptera: Bedelliidae) adult perched on the abaxial end of an Ipomoea batatas leaf (A); larval damage on I. batatas leaves (B); caterpillar with excreta deposited outside a mine (C).
Fig. 1 in Options for managing Antestiopsis thunbergii (Hemiptera: Pentatomidae) and the relationship of bug density to the occurrence of potato taste defect in coffee
Fig. 1. Effects of pest management tactics on the occurrence of potato taste defect in coffee. No Prun(P) & No Pest (No Pruning and No Pesticide), P & No Pest (Pruning and No Pesticide), P & Fastac (Pruning and Fastac), P & Pyr 5EW (Pruning and Pyrethrum 5EW), P & Pyr EWC (Pruning & Pyrethrum EWC), P & Agroblast (Pruning and Agroblast), and P & Imida (Pruning and Imidacloprid). Fastac sprayed in pruned plots had the lowest levels of potato taste defect whereas the control had the highest. Bars represent the standard error of means. Means followed with the same letter are not statistically different (P ≤ 0.05, ANOVA and Tukey's test).
Fig. 1 in First record of Liriomyza huidobrensis (Diptera: Agromyzidae) disseminating Alternaria solani (Pleosporaceae) in potato crops in Brazil
Fig. 1. (a) Presence of Liriomyza huidobrensis mines on a Solanum tuberosum leaf infected with Alternaria solani; (b) diagram showing representative distribution of mines and fungal lesions.
Fig. 1 in First record of Empoasca kraemeri (Hemiptera: Cicadellidae) attacking sweet potato in Brazil
Fig. 1. Adults of Empoasca kraemeri (Hemiptera: Cicadellidae) on sweet potato leaves (A, B), immature (C) and resulting injuries; chlorotic spots (C, D) Diamantina, Minas Gerais State, Brazil, in 2017.
Genome report: Genome sequence of 1S1, a transformable and highly regenerable diploid potato for use as a model for gene editing and genetic engineering
<p>Generation of a genomic resource for a readily transformable diploid potato would provide a resource for high throughput functional analysis in potato. The heterozygous <em>Solanum tuberosum</em> Group Phureja clone 1S1 has a high regeneration rate, self-fertility, desirable tuber traits and is amenable to <em>Agrobacterium</em>-mediated transformation. To create a contiguous genome assembly, a homozygous doubled monoploid of 1S1 (DM1S1) was sequenced using 44 Gbp of long reads generated from Oxford Nanopore Technologies (ONT), yielding a 736 Mb assembly that encoded 31,145 protein-coding genes. The final assembly for DM1S1 represents a nearly complete genic space, shown by the presence of 99.6% (C:99.5%[S:97.8%, D:1.7%],F:0.1%,M:0.4%,n:1614) of the Benchmarking Universal Single Copy Orthologs. Variant analysis with Illumina reads from 1S1 was used to deduce its alternate haplotype using the variant calling tools Strelka2 (v2.9.10), GATK's Haplotypecaller (v4.1.4.1), and Freebayes (v1.3.2). These variants were used to create consensus fasta sequences with the DM1S1 assembly using bcftools (v1.9.64).</p>
Utilizing traditional and remote sensing techniques to assess Colorado potato beetle host preference in the Columbia Basin -- 2021 Data
<p>This is a remote sensing dataset collected in 2021 that contains orthomosaic images, shape files, analysis scripts, and derived numerical data from each plot. Data was collected using the protocol described here:</p> <p><a href="https://www.protocols.io/view/usda-ars-potato-genetics-lab-drone-data-collection-bp2l6148dvqe/v1">https://www.protocols.io/view/usda-ars-potato-genetics-lab-drone-data-collection-bp2l6148dvqe/v1</a></p> <p>Provided are "field map" files that denote the location and contents of each plot, a folder from each date that contains the 10 band orthomosiac, surface model image, a cropped and rotated image, shape files indicating the location of each plot, and derived data. The analysis can be replicated by following along with workflow listed in file named: rondon_cpb_2021.R. Derived data from this experiment can be found it the file named: "Rondon_CPB_data_2021_UAS_all.csv"<br> <br> If you have any questions or comments regarding this dataset please contact Dr. Max Feldman via email: max.feldman@usda.gov</p> <p> </p>
Irish Potato Imagery Dataset for Early Detection of Crop Diseases
<p>The annotated dataset consists of irish potatoes leaf imagery for early diseases detection. The irish potato crop leaves images were taken in Mbeya region in the Southern Highlands of Tanzania between 22<sup>nd</sup> November 2022 and 08<sup>th</sup> April 2023 using a mobile data collection tool, called the Open Data Kit (ODK). The crop leaf imagery dataset use case is developing machine learning models and end-user tools for early detection of (i) Early blight, and (ii) Late blight diseases in irish potatoes. The common leaf imagery data was collected from small holder farms using Samsung Galaxy A03 Core smartphones. </p> <p>All images are in the <strong>.zip files</strong>; “lateblt.zip” has 20,499 images, “healthy.zip” has 20,438 images, and “earlyblt.zip” has 17,772 images. A total of 58,709 image files are labelled.</p> <p>This research project is financially supported by the International Development Research Centre (IDRC) and the Swedish International Development Cooperation Agency (SIDA) through the Artificial Intelligence for Agriculture and Food Systems Innovation Research Network (AI4AFS-IRN) administered by the African Technology Policy Studies Network (ATPS) with Grant Award Number: AI4AFS/GA/AFS-2504001568.</p>
Data from: Virus infection and host plant suitability affect feeding behaviors of cannabis aphid (Hemiptera: Aphididae), a newly described vector of potato virus Y
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Genome report: Genome sequence of 1S1, a transformable and highly regenerable diploid potato for use as a model for gene editing and genetic engineering
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Data from: Evaluation of a low-cost staining method for improved visualization of sweet potato whitefly (Bemisia tabaci) eggs on multiple crop plant species
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Data from: How does soil organic matter affect potato productivity on sandy soil?
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Data from: Cropland connectivity affects genetic divergence of Colorado potato beetle along an invasion front
<p>The population genetic structure of invasive species can be strongly affected by environmental and landscape barriers to dispersal. Disentangling the relative contributions of these factors to genetic divergence among invading populations is a fundamental goal of landscape genetics with important implications for invasion management. Here, we relate patterns of genetic divergence in a global invasive agricultural pest, Colorado potato beetle (CPB; Leptinotarsa decemlineata), to environmental and landscape factors along an invasion front in Northwestern China. We first used microsatellite markers and spatial-temporal samples to assess broad patterns of genetic diversity as well as fine-scale changes in patterns of genetic divergence. We then distinguished the relative contributions of five factors to genetic divergence among front populations: geographic distance (isolation by distance), climate dissimilarity (isolation by environment), and least-cost distances (isolation by resistance) modelled with three factors: climate suitability, cropland cover, and road networks. Genetic diversity broadly decreased from West to East, with the exception being Eastern China. Low levels of genetic diversity and varying degrees of divergence were observed in Northwestern China, reflecting the potential effect of landscape heterogeneity. Least-cost distance across cropland cover was most positively correlated with genetic divergence, suggesting a role of croplands in facilitating gene flow. The contribution of climate to genetic divergence was secondary, whether modelled in terms of local adaptability or connectivity of the climatic landscape, suggesting that constraints to CPB gene flow imposed by a harsh climate may be ameliorated in agricultural landscapes. No evidence was found for an obvious effect of road networks on genetic divergence and population structuring. Our study provides an example of how agricultural landscape connectivity can facilitate the spread of invasive pests, even across a broad climatic gradient. More broadly, our findings can guide decisions about future land management for mitigating further spread.</p>
Elevated rates of positive selection drive the evolution of pestiferousness in the Colorado potato beetle ( Leptinotarsa decemlineata, Say)
<p class="Paragraph">In order to understand the evolution of pestiferousness, which we define as the accumulation of traits that contribute to an insect population's success in an agroecosystem, we tested the importance of known genomic properties associated with rapid adaptation. Within the leaf beetle genus <i>Leptinotarsa</i>, only the Colorado potato beetle (CPB), <i>Leptinotarsa decemlineata</i> Say, and a few populations therein, has risen to pest status on cultivated nightshades, <i>Solanum</i>. Using whole genomes from ten closely related <i>Leptinotarsa</i> species native to the United States we reconstructed a high-quality species tree and used this phylogenetic framework to assess evolutionary patterns in four genomic features of rapid adaptation: standing genetic variation, gene family expansion and contraction, transposable element variation, and positive selection at protein coding genes. Throughout approximately 20 million years of history, <i>Leptinotarsa</i> species show little evidence of gene family turnover and transposable element variation. However, there is a clear pattern of recently derived lineages, including CPB, experiencing higher rates of positive selection on protein coding genes. We determine these rates are associated with greater standing genetic variation due to larger effective population size, which support the theory that the demographic history contributes to rates of protein evolution. Furthermore, we identify a suite of genes under positive selection that are linked to pestiferousness, exclusively, in the Colorado potato beetle lineage. They are involved in the biological processes of xenobiotic detoxification, chemosensation, and hormone function.</p>
Potato
Part of the William Clarke Charms Collection, this potato was carried by a Mr Tinkler as a charm against rheumatism in Scarborough in 1911. Scanned with a Faro Laser Arm. SCARB:1946.272 Source: Objaverse 1.0 / Sketchfab
Fig. 2 in On the successful acclimatization of the Colorado potato beetle Leptinotarsa decemlineata (Say, 1824) (Coleoptera: Chrysomelidae) in Primorsky kray
Fig. 2. Population pyramid of the Colorado potato beetle in Primorsky Kray.
Figure 1 in On the successful acclimatization of the Colorado potato beetle Leptinotarsa decemlineata (Say, 1824) (Coleoptera: Chrysomelidae) in Primorsky kray
Figure 1. Dynamics of the population size of the Colorado potato beetle over the year of
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.