Differential drought sensitivity of total and active wheat rhizosphere microbiome during rainfall reduction

Wheat Rhizosphere MicrobiomeThis repository contains the processed datasets, analysis scripts, intermediate files, and figures associated with the study: Differential drought sensitivity of total and active wheat rhizosphere microbiome during rainfall reductionThe project investigates how reduced rainfall influences the structure, activity, and functional responses of the wheat rhizosphere microbiome using an integrated multi-omics approach combining metagenomics, metatranscriptomics, and volatile organic compound (VOC) profiling.Experimental DesignTwo wheat genotypes with contrasting drought responses were evaluated under field conditions:• DS – Drought-sensitive genotype• DT – Drought-tolerant genotypeRainfall was manipulated using four precipitation treatments:• 100% rainfall (control)• 75% rainfall• 50% rainfall• 25% rainfallDifferential analyses were performed by comparing each reduced-rainfall treatment to the 100% rainfall control.Repository StructureVOCs/Contains all files associated with volatile organic compound (VOC) analyses.Subfolders:• input_files/ – Processed input datasets used for VOC analyses.• intermediate_files/ – Intermediate files generated during data processing and statistical analyses.• output_files/ – Final analysis outputs, tables, and results.• R scripts – Scripts used for data processing, statistical analyses, and visualization.Metagenomics/Contains files associated with metagenomic analyses of the wheat rhizosphere microbiome.Subfolders:• input_files/ – Taxonomic and functional abundance tables and associated metadata.• intermediate_files/ – Intermediate files generated during data processing and downstream analyses.• output_files/ – Final statistical outputs, differential abundance results, and summary tables.• R scripts – Scripts used for metagenomic analyses and figure generation.Metatranscriptomics/Contains files associated with metatranscriptomic analyses of the active wheat rhizosphere microbiome.Subfolders:• input_files/ – Transcript abundance tables, annotations, and metadata.• intermediate_files/ – Intermediate files generated during normalization and differential expression analyses.• output_files/ – Final differential expression results, functional summaries, and statistical outputs.• R scripts – Scripts used for transcriptomic analyses and visualization.Figures/Contains all manuscript figures together with:• Input data used to generate figures.• Intermediate files.• Figure outputs.• R scripts required to reproduce all figures.