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Mycorrhization and chemical seed priming boost tomato stress tolerance by changing primary and defence metabolic pathways

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DataONE2024-12-14 更新2025-04-26 收录
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Priming modulates plant stress responses before the stress appears, increasing the ability of the primed plant to endure adverse conditions and thrive. In this context, we investigated the effect of biological (i.e. arbuscular mycorrhizal fungi, AMF) agents and natural compounds (i.e. salicylic acid applied alone or combined with chitosan) against water deficit and salinity on a commercial tomato genotype (cv. Moneymaker). Effects of seed treatments on AMF colonization were evaluated, demonstrating the possibility of using them in combination. Responses to water and salt stresses were analysed on primed plants alone or in combination with the AMF inoculum in soil. Trials were conducted on potted plants by subjecting them to water deficit or salt stress. The effectiveness of chemical seed treatments, both alone and in combination with post-germination AMF inoculation, was investigated using a multidisciplinary approach that included ecophysiology, biochemistry, transcriptomics, and untar..., Results reported in Datasets from S1 to S36 were generated after bioinformatic elaboration of RNA-seq (Datasets from S1 to S30) and untargeted metabolomics (Datasets from S31 to S36) data. Data elaboration procedures are following reported: RNA-seq data analysis For alignment, reads were mapped onto the reference genome GCF_000188115.5_SL3.1 (Hosmani et al., 2019) using STAR v. 2.7.10 (Dobin et al., 2013), a splice junction mapper designed for RNA-Seq reads, under default parameters. The software htseq-count v. 2.0.2 (Anders et al., 2015) was utilized to count the overlapping of reads with genes. The data were then used to identify differentially expressed genes (DEGs) using the DESeq2 package v1.34.0 (Love et al., 2014). The variance on read count was calculated based on three biological replicates per condition by applying a negative binomial distribution to model the count data, therefore identifying genes showing significant expression changes among the different tested conditions. ..., , # Data from: Mycorrhization and chemical seed priming boost tomato stress tolerance by changing primary and defence metabolic pathways [https://doi.org/10.5061/dryad.dbrv15fb9](https://doi.org/10.5061/dryad.dbrv15fb9) ## Description of the data and file structure Results reported in **Datasets S1-S30** were generated following elaboration of raw RNA-seq data, while results listed in **Datasets S31-S36** are the output of data elaboration from untargeted metabolomics analyses. **RNA-seq raw reads were submitted to NCBI Sequence Read Archive (SRA) under the BioProject accession number PRJNA1108677.** Datasets related to elaboration of RNA-seq data (**Datasets S1-S30) **are a series of tables reporting sequencing statistics, read counts, list of differentially expressed genes (DEGs) with the related expression value for each analysed sample (i.e.** **CTRL_NMYC_NS, CTRL_MYC_NS,  SA_NMYC_NS,  SA_MYC_NS,  CHI+SA_NMYC_NS, CHI+SA_MYC_NS,  CTRL_NMYC_WS,  CTRL_MYC_WS,  SA_NMYC_WS, SA_MYC_WS, ...
创建时间:
2024-12-21
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