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Chinese Academy of Agricultural Sciences

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1970
2024
1970 2024
22268 results
  • data related to: Non-canonical OsATG8 and OsATG1 regulate nutrient stress–induced immunity via ROP GTPase signaling
    original data related to: Non-canonical OsATG8 and OsATG1 regulate nutrient stress–induced immunity via ROP GTPase signaling
    • Dataset
  • A study of Identification and verification of the role of key metabolites and metabolic pathways on ASFV replication, Zunji shi et.al
    African swine fever (ASF), one of the most harmful diseases prevalent in pig farms nowadays, caused by the African swine fever virus (ASFV) that cause enormous economic losses. Viremia usually develops within a few days after ASFV infection. However, the metabolic changes in pig serum after ASFV infection remain unclear. In this study, serum samples collected from ASFV-infected pig at different times were analyzed using pseudotargeted metabolomics method. Metabolomic analysis revealed 225 metabolites decreased and 65 metabolites increased in serum collected in ASFV infected 5 days post-infection (dpi), 254 metabolites decreased and 58 metabolites increased in serum collected ASFV infected 10 dpi. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the significant changed metabolites indicated that dopaminergic synapse has the highest rich factor in both ASFV5 (ASFV infected 5 dpi) VS ASFV0 (ASFV infected 0 dpi) and ASFV10 (ASFV infected 10 dpi) VS ASFV0.
    • Dataset
  • Genomic insight into the Hyalomma anatolicum biology by comparative genome analysis
    Supplementary Table 1. Repeat sequence annotation. Supplementary Table 2. Homology comparision of gene, exon and intron. Supplementary Table 3. non-Coding RNA. Supplementary Table 4. Expanded gene families in Hyalomma anatolicum. Supplementary Table 5. Heme related and hemoglobin digesting genes. Supplementary Table 6. Oxidative stress associated genes. Supplementary Table 7. Cytochrome P450 family genes. Supplementary Table 8. Environment sensing related genes. Supplementary Table 9. G protein coupled receptors. Supplementary Table 10. Immune pathway related genes. Supplementary Table 11. Genes related to epigenetic molecular mechanism. Supplementary Table 12. Predicted neruopeptide encoding genes in Hyalomma anatolicum genome. Supplementary Table 13. Ka/Ks values from pairwise comparisons. Supplementary Table 14. Funcational annotation of positively selected genes.
    • Dataset
  • Gut microbiota affects host fitness of fall armyworm feeding on different food types. Lin Ma et al.
    The file contains raw data from two-sex life tables, pupa weights and nutrient utilization measurements.
    • Dataset
  • Electron-rich Au nanocrystals/Co3O4 interface for enhanced electrochemical nitrate reduction into ammonia
    Data source of article: Electron-rich Au nanocrystals/Co3O4 interface for enhanced electrochemical nitrate reduction into ammonia
    • Dataset
  • Heat-avoidance behavior associates with thermal sensitivity rather than tolerance in aphid assemblages
    How to predict animals’ heat-avoidance behaviors is critical since behavior stands the first line for animals dealing with frequent heat events under ongoing climate warming. However, the discrepancy between the scarcity of research on heat-avoidance behaviors and the commonness of eco-physiological data for thermal tolerance and for thermal sensitivity such as the temperature-dependent survival time makes it difficult to link physiologically thermal traits to heat-avoidance behavior. Aphids usually suck plant sap on a fixed site on the host plants at moderate temperatures, but they will leave and seek cooler feeding sites under stressful temperatures. Here we take the cereal aphid assemblages comprising different species with various development stages as a model system. We tested the hypotheses that heat tolerance (critical thermal maximum, CTmax) or heat sensitivity (temperature-dependent declining rate of survival time, similarly hereinafter) would associate with the temperature at which aphid activate heat-avoidance behavior. Specifically, we hypothesized the aphids with less heat tolerance or greater heat sensitivity would take a lower heat risk by leaving the host plant earlier. By mimicking the linear increase in ambient temperature during the daytime, we measured the CTmax and the heat-avoidance temperature (HAT, at which aphids leave the host plant to find cooler places) to understand their heat tolerance and heat-avoidance behavior. Then, we tested the survival time of aphids at different temperatures and calculated the slope of survival time declining with temperature to assess their heat sensitivity (HS). Finally, we examined the relationships between CTmax and HAT and between HS and HAT to understand if the heat-avoidance behavior associates with heat tolerance or with heat sensitivity. The results showed that HS and HAT had a strong correlation, with more heat sensitive individuals displayed lower HAT. By contrast, CTmax and HAT had a weak correlation. Our results thus provide evidence that heat sensitivity is a more reliable indicator than thermal tolerance linking with the heat-avoidance behavior in the aphid assemblages. Most existing studies use the indexes related to thermal tolerance to predict warming impacts. Our findings highlight the urgency to incorporate thermal sensitivity when predicting animal responses to climate change.
    • Dataset
  • Schistosoma japonicum translationally controlled tumor protein, which is associated with the development of female worms, as a target for control of schistosomiasis
    The attachment files of the article "Schistosoma japonicum translationally controlled tumor protein, which is associated with the development of female worms, as a target for control of schistosomiasis".
    • Dataset
  • Genome-Wide Analysis of Dynamic RNA Profiles During Toxoplasma gondii Infection in the Felines- SI_1
    SI_1_1.fq
    • Dataset
  • Genome-Wide Analysis of Dynamic RNA Profiles During Toxoplasma gondii Infection in the Felines-raw datas C3
    C_3_1.fq, C_3_2.fq
    • Dataset
  • Genome-Wide Analysis of Dynamic RNA Profiles During Toxoplasma gondii Infection in the Felines-raw datas C2
    C_2_1.fq, C_2_2.fq
    • Dataset
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