DOI: 10.5061/dryad.3ffbg79x5
title: Data from: Constitutive metabolomic profile of a transgressive segregant of rice with superior salinity tolerance potentials due to unique morphological features and well-modulated growth

description: Understanding the nature of non-parental phenotypes created by
 transgressive segregation is important in creating novel genetic
 recombinants that can withstand different environmental conditions for
 crop production. FL510, a transgressive salinity-tolerant rice genotype
 from a cross between IR29 (xian/indica; salt-sensitive) and Pokkali
 (indica/aus; salt-tolerant), has tolerance mechanisms active under control
 conditions and improves survival upon the onset of salinity. This study
 compares normal-state metabolomes and lipidomes of FL510 with those of its
 parents. Principal component analysis (PCA) of the identified analytes
 showed clear and expected similarity between FL510 and Pokkali, while
 partial least squares discriminant analysis (PLS-DA) emphasized overlaps
 between the metabolic profiles of IR29 and FL510. The analysis identified
 metabolites with inherited patterns of abundance from either parent in
 FL510 and those with unique, non-parental abundances, and these were
 supported by differential expression of key pathway-related genes
 identified through transcriptome analysis. Strigolactone precursor
 production was identified as a key feature in FL510, which may help
 explain its unique architecture that is beneficial for osmotic stress. We
 also identified a divergence between productivity under ideal
 environments, leading to free radical production versus tempered
 production that offers better survival under marginal growing conditions.
 FL510 showed an inheritance of hormone and amino acid abundances from
 Pokkali, which further explains some of its architectural and previously
 studied stress-response features. Meanwhile, the similarity of FL510 with
 IR29 in terms of flavonoid indicates an inheritance of productivity and is
 consistent with previous reports of induction for these molecules under
 stress, rather than being active under control conditions.
description: # Data from: Constitutive metabolomic profile of a transgressive segregant
 of rice with superior salinity tolerance potentials due to unique
 morphological features and well-modulated growth Dataset DOI:
 [10.5061/dryad.3ffbg79x5](10.5061/dryad.3ffbg79x5) ## Description of the
 data and file structure Samples: Leaf blades from one-month-old plants
 Genotypes: FL510 (transgressive salt tolerant recombinant inbred line);
 IR29 (salt sensitive parent); Pokkali (salt tolerant parent) Dataset:
 metabolites identified through shotgun approach. Four total datasets are
 included, as metabolites were detected from the metabolome (aqueous phase
 extract) and lipidome (organic phase extract) at both positive and
 negative ion modes. Each file contains a tab for raw values and a tab for
 values normalized with a set internal standard listed on row 1. QC sample
 peaks are also included. These samples were combined extracts from the
 three genotypes listed above and were used to ensure run quality for the
 experimental samples run on the machine. Any empty cells represent data
 not available.  ### Files and variables #### Files in this set are as
 listed: * Lipidomics_Negative_Ion_Mode_FL510_normalized.csv -
 Lipidomics_negative_ion_mode_raw_data.csv *
 Lipidomics_positive_Ion_Mode_FL510_normalized.csv -
 Lipidomics_positive_ion_mode_raw_data.csv *
 Metabolomics_Negative_Ion_Mode_FL510_normalized.csv -
 Metabolomics_Negative_Ion_Mode_FL510_raw_data.csv *
 Metabolomics_Positive_Ion_Mode_FL510_normalized.csv -
 Metabolomics_Positive_Ion_Mode_FL510_raw_data.csv 3\. NORMALIZED files
 comprise of mass spectrometry values standardized using a preset internal
 standard metabolite added to the sample. The specific metabolite used is
 listed at the top of each NORMALIZED data file. 4\. RAW files comprise
 mass spectrometry values without standardization with the internal
 standard metabolite. 5\. Key variables in each table are: a. Name - name
 of the metabolite identified b. Formula - chemical formula of metabolite
 identified c. Annot. DeltaMass [ppm] - mass of identified metabolite as
 detected d. Calc. MW - theoretical mass of the identified metabolite e.
 m/z - mass to charge ratio f. RT[min] - retention time g. Area [Sample
 name+Rep] - quantity of sample h. Ratio and log2 fold - quantities
 relative from one sample to another, as a ratio or as log2 fold ratio i.
 P-value - statistical significance of the ratio j. Adj. P-value - P-value
 with Bonferroni correction Peak ratings are quality control measures used
 by the machine to validate results (ThermoFisher)