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As a novel environmental pollutant, the impacts of nanoplastics on crops have attracted more and more attention. To explore the response of soybean to polystyrene nanoplastics (PS-NPs) at physiological and gene expression levels, this experiment used hydroponics to determine the phenotype and physiological indexes of soybean seedlings after exposure to 50 mg/L 100 nm PS-NPs for 10 days, and carried out transcriptome sequencing analysis of soybean seedling root system. The results showed that the growth of the soybean seedlings was inhibited, the root morphology changed significantly, the activities of superoxide dismutase (SOD) and catalase (CAT) increased to a certain extent, the content of malondialdehyde (MDA) increased significantly, and the content of soluble sugar decreased after PS-NPs exposure. Transcriptome analysis showed that a total of 2112 differentially expressed genes were generated by PS-NPs exposure treatment, GO and KEGG analysis showed that they were mainly enriched in pathways related to redox reaction, reaction to ethylene and abscisic acid, amino acid metabolism and synthesis of other secondary metabolites. It was noted that 250 transcription factors were differentially expressed, mainly including the ERF, WRKY, NAC, bHLH and MYB transcription factor families. This experiment lays a foundation for further exploring the impact of nanoplastics on crops such as soybeans and its molecular mechanism. [ABSTRACT FROM AUTHOR]

From the definition of data mining, the paper introduced concepts and advantages and disadvantages of neural network algorithm, decision tree algorithm, genetic algorithm, rough set method, fuzzy set method and association rule method of data mining, summarized domestic and international research situation and focus of data mining in details, and pointed out the development trend of data mining.

Abstract Background Citrus tristeza virus (CTV), a member of the genus Closterovirus within the family Closteroviridae, is the causal agent of citrus tristeza disease. Previous studies revealed that the negative selection, RNA recombination and gene flow were the most important forces that drove CTV evolution. However, the CTV codon usage was not studied and thus its role in CTV evolution remains unknown. Results A detailed comparative analysis of CTV codon usage pattern was done in this study. Results of the study show that although in general CTV does not have a high degree of codon usage bias, the codon usage of CTV has a high level of resemblance to its host codon usage. In addition, our data indicate that the codon usage resemblance is only observed for the woody plant-infecting closteroviruses but not the closteroviruses infecting the herbaceous host plants, suggesting the existence of different virus-host interactions between the herbaceous plant-infecting and woody plant-infecting closteroviruses. Conclusion Based on the results, we suggest that in addition to RNA recombination, negative selection and gene flow, host plant codon usage selection can also affect CTV evolution.