Quantification of spatial metal accumulation patterns in Noccaea caerulescens by X-ray fluorescence image processing for genetic studies

نویسندگان

چکیده

Abstract Background Hyperaccumulation of trace elements is a rare trait among plants which being investigated to advance our understanding the regulation metal accumulation and applications in phytotechnologies. Noccaea caerulescens (Brassicaceae) an intensively studied hyperaccumulator model plant capable attaining extremely high tissue concentrations zinc nickel with substantial genetic variation at population-level. Micro-X-ray Fluorescence spectroscopy (µXRF) mapping sensitive high-resolution technique obtain information spatial distribution metallome hydrated samples. We used laboratory-based µXRF characterize collection 86 genetically diverse accessions from across Europe. developed image-processing method segment different substructures images. introduced concentration quotient (CQ) quantify patterns linked that variation. Results Image processing resulted automated segmentation images into petiole, leaf margin, interveinal vasculature substructures. The harmonic means recall precision (F1 score) were 0.79, 0.80, 0.67, 0.68, respectively. Spatial as determined by CQ highly heritable for all substructures, broad-sense heritability (H 2 ) ranging 76 92%, correlates only weakly other traits. Insertion noise image algorithm barely decreases scores segmented illustrating robustness quantification method. Very low was found if randomly generated compared, validating approach. Conclusions A strategy segmenting proposed provide quantitative measure pattern, can be determine such pattern. metric robust error provides reliable H estimates. This avenue quantifying XRF data analysis genetics subsequent discovery new genes regulate homeostasis sequestration plants.

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ژورنال

عنوان ژورنال: Plant Methods

سال: 2021

ISSN: ['1746-4811']

DOI: https://doi.org/10.1186/s13007-021-00784-9