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Ag Data Commons migration begins October 18, 2023

The Ag Data Commons is migrating to a new platform – an institutional portal on Figshare. Starting October 18 the current system will be available for search and download only. Submissions will resume after the launch of our portal on Figshare in November. Stay tuned for details!

Regional epithelial cell diversity in the small intestine of pigs

    Single cell suspensions enriched for epithelial cells were obtained from duodenum, jejunum, and ileum of a 7.5-week-old pig and subjected to single-cell RNA sequencing (scRNA-seq). scRNA-seq was performed to provide transcriptomic profiles of epithelial cells, with 695 cells annotated into 6 cell types. Deeper interrogation of data revealed previously undescribed cells in porcine intestine, and region-specific gene expression profiles within specific cell subsets. Data herein includes a .h5seurat files of the epithelial cell subsets analyzed.

    Data from: Skeletal Muscle Sexual Dimorphism in Mice

      File contains transcriptomics results for gastrocnemius (GA) and soleus (SOL) muscles from adult mice, previously fed a 45% (by energy) high fat diet for ~13 wk. The Supplemental Material also contains gene pathway analysis results (e.g., GO, HMDB), transcripts differentially expressed but with shared or disparate patterns in GA vs. SOL (Venn diagrams), and correlations between summed muscle weights vs. body weight or lean body mass.

      Data from: Transcriptome profiling of interaction effects of soybean cyst nematodes and soybean aphids on soybean

        Soybean aphid (*Aphis glycines*; SBA) and soybean cyst nematode (*Heterodera glycines*; SCN) are two major pests of soybean (*Glycine max*) in the United States of America. This study aims to characterize three-way interactions among soybean, SBA, and SCN using both demographic and genetic datasets. The data comprises of 47 libraries that are useful for further analyses of important genes, which are involved in interaction effects of SBA and SCN on soybean.

        Data from: Sporobolus stapfianus: Insights into desiccation tolerance in the resurrection grasses from linking transcriptomics to metabolomics

          Non-targeted metabolomics, combined with transcriptomics via a NimbleGen array platform, are used to study how gene expression and metabolite profiles can be linked to generate a more detailed mechanistic appreciation of the cellular response to both desiccation and rehydration in the C4 resurrection grass, *Sporobolus stapfianus* Gandoger, as a member of a group of important forage grasses.

          Data from: Key molecular processes of the diapause to post‐diapause quiescence transition in the alfalfa leafcutting bee Megachile rotundata identified by comparative transcriptome analysis

            Insect diapause (dormancy) synchronizes an insect's life cycle to seasonal changes in the abiotic and biotic resources required for development and reproduction. Transcription analysis of diapause to post‐diapause quiescent transition in the alfalfa leafcutting bee *Megachile rotundata* Fabricius identifies 643 post‐diapause up‐regulated gene transcripts and 242 post‐diapause down‐regulated transcripts. The log2 fold change in gene expression levels ranges from −5 to 7. Transcripts from several pivotal diapause‐related processes, including chromatin remodelling, cellular signalling pathways, microRNA processing, anaerobic glycolysis, cell cycle arrest and neuroendocrine control, are identified as being differentially expressed during the diapause to post‐diapause transition. In conjunction with studies from other insect species, the data indicate that there are several common mechanisms of diapause control and maintenance.

            Data from: Metabolic Coevolution in the Bacterial Symbiosis of Whiteflies and Related Plant Sap-Feeding Insects

              Genomic decay is a common feature of intracellular bacteria that have entered into symbiosis with plant sap-feeding insects. This study of the whitefly Bemisia tabaci and two bacteria (Portiera aleyrodidarum and Hamiltonella defensa) cohoused in each host cell investigated whether the decay of Portiera metabolism genes is complemented by host and Hamiltonella genes, and compared the metabolic traits of the whitefly symbiosis with other sap-feeding insects (aphids, psyllids, and mealybugs).

              Data from: Condition‐dependent co‐regulation of genomic clusters of virulence factors in the grapevine trunk pathogen Neofusicoccum parvum

                The capability of the ascomycete *Neofusicoccum parvum* to colonize woody tissue, combined with the secretion of phytotoxic compounds, is thought to underlie its pathogenicity and virulence. The repertoire of virulence factors and their transcriptional dynamics as the fungus feeds on different substrates and colonizes the woody stem are described and a highly contiguous genome is assembled and annotated using single‐molecule real‐time DNA sequencing.