When flowers turn red: Pathogen-induced flavonoid–anthocyanin biosynthesis in Chrysanthemum seticuspe confers resistance to Botrytis cinerea

Project Title: When flowers turn red: Pathogen-induced flavonoid–anthocyanin biosynthesis in Chrysanthemum seticuspe confers resistance to Botrytis cinerea

Description: This Zenodo record contains processed metabolomics outputs used in the study above (feature tables, molecular networking exports, annotations, and MEANtools outputs). These files support the figures and statistical analyses reported in the manuscript. 

Data Folders:

mzmine_v4.3.3_output/ — MZmine project outputs (feature tables, batchfiles, annoatation file and quantification files used for downstream analysis).

FBMNstats_output/ — FBMN statistics, data prep files for seperate organs, and significant metabolite list.

gnps2_metadata_graphml/ — GNPS2 exports for networks and metadata (e.g., .graphml).

SIRIUS6.1_output/ — SIRIUS project file and exported annotations, including a final combined annotation table.

MEANtools_output/ — MEANtools multi-omics integration outputs linking LC–MS metabolite features with transcript features, plus pathway inference results. Includes Herald and paveWays outputs:

Herald output (heraldPathways.py): raw pathway prediction tables (CSV), including predicted reactions, predicted substrate→product links (virtual molecules), and structure lists.

paveWays output (paveWays.py): filtered pathway summaries and visualization outputs derived from Herald predictions (e.g., pathway/structure graphics and accompanying summary tables).

Also includes interactive HTML gene–metabolite network visualizations highlighting mycosinol-associated metabolite features and linked genes (hover tooltips show IDs/annotations and association scores).