Histochemical Analysis Reveals Organ-Specific Quantitative Trait Loci for Enzyme Activities in Arabidopsis

28Citations
Citations of this article
38Readers
Mendeley users who have this article in their library.
Get full text

Abstract

To identify genetic loci involved in the regulation of organ-specific enzyme activities, a specific histochemical staining protocol was used in combination with quantitative trait locus (QTL) analysis. Using phosphoglucomutase (PGM) as an example, it is shown that enzyme activity can specifically, and with high resolution, be visualized in non-sectioned seedlings of Arabidopsis. The intensities of staining were converted to quantitative data and used as trait for QTL analysis using Landsberg erecta X Cape Verde Islands recombinant inbred lines. Independently, PGM activities were quantified in whole-seedling extracts, and these data were also used for QTL analysis. On the basis of extract data, six significant (P < 0.05) loci affecting PGM activity were found. From the histochemical data, one or more specific QTLs were found for each organ analyzed (cotyledons, shoot apex, hypocotyl, root, root neck, root tip, and root hairs). Loci detected for PGM activity in extracts colocated with loci for histochemical staining. QTLs were found coinciding with positions of (putative) PGM genes but also at other positions, the latter ones supposedly pointing toward regulatory genes. Some of this type of loci were also organ specific. It is concluded that QTL analysis based on histochemical data is feasible and may reveal organ-specific loci involved in the regulation of metabolic pathways.

Cite

CITATION STYLE

APA

Sergeeva, L. I., Vonk, J., Keurentjes, J. J. B., Van Der Plas, L. H. W., Koornneef, M., & Vreugdenhil, D. (2004). Histochemical Analysis Reveals Organ-Specific Quantitative Trait Loci for Enzyme Activities in Arabidopsis. Plant Physiology, 134(1), 237–245. https://doi.org/10.1104/pp.103.027615

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free