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Natural variation in root exudate composition in the genetically structured Arabidopsis thaliana in the Iberian Peninsula

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DataONE2024-12-03 更新2025-04-26 收录
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Plant root exudates are involved in nutrient acquisition, microbial partnerships, and inter-organism signaling. Yet, little is known about the genetic and environmental drivers of root exudate variation at large geographical scales, which may help understand evolutionary trajectories of plants in heterogeneous environments. We quantified natural variation in chemical composition of Arabidopsis thaliana root exudates in 105 Iberian accessions. We identified up to 373 putative compounds using ultra-high performance liquid chromatography coupled with mass spectrometry. We estimated broad-sense heritability of compounds and conducted a genome-wide association (GWA) study. We associated variation in root exudates to variation in geographic, environmental, life history, and genetic attributes of Iberian accessions. Only 25 of 373 compounds exhibited broad-sense heritability values significantly different from zero. GWA analysis identified polymorphisms associated to 12 root exudate compounds ..., , , # Natural variation in root exudate composition in the genetically structured Arabidopsis thaliana in the Iberian Peninsula [https://doi.org/10.5061/dryad.vmcvdnd2j](https://doi.org/10.5061/dryad.vmcvdnd2j) ## Description of the data and file structure Root exudates in 105 Iberian Arabidopsis thaliana accessions. The file has two sheets including features detected with negative and positive ionization modes using ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. ### Files and variables #### File: Raw\_root\_exudate\_data\_9sep24.xlsx **Description:** Sheet #1: Data from 'Negative ionization mode' ##### Variables * 1st row: Variable name * 1st column: Accession (accession name; 3-letter code plus number) * 2nd column: Rosette diameter (plant size at sampling; cm) * 3rd column: Number of leaves (plant size at sampling; count) * 4th-1145th columns: Features codes (from N.V1 to N.V1142; absolute peak area of each feature obtained ...
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2024-12-06
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