Abstract

The promise of genotypic characterization as a tool, in combination with breeding programs, is to tailor and improve the raw material supply to the biomass industry. Gross chemical analysis can provide an overview of the total changes in chemistry, but only with microscopic analysis can detailed information about the spatial distribution of these changes be attained. Changes brought about by genetic transformation may often be subtle and difficult to define, as one change in biochemistry may lead to multiple changes in morphology and cell wall chemistry. Except in cases where these changes are extreme, which often limits the production of a phenotype. Because of naturally high variability, a complete understanding of genotypic characteristics is difficult without combining morphological and microdistribution measurements with statistical analysis. In the present work we describe the morphology and part of the composition for 12 FuncFiber genotypes. Samples for the genotypes where taken at 20 cm above soil level, and embedded in Technovit and LR White. Semi-thin LR White sections where used for chemical staining, using Toluidine Blue, Phloroglucinol and Maüle Reaction. The Toluidine Blue images were used in combination with the software Image Pro for the morphological measurements. Control staining to verify the lack of tension wood was carried out with Safranin and Astra blue on LR White sections. Semi-thin Technovit sections were used for immunofluorescence staining using the antibodies CCRC-M1 (xyloglucan), CCRC-M8 (arabinogalactan), LM-10 (xylan), JIM-5 and JIM-7 (pectins). To quantify the staining data, a plug-in for ImageJ was developed called FluoroJ. The main trends in the results show that significant differences are found either in morphology or cell wall chemistry for a given genotype, but rarely both. The immunolabelling and staining data presented provides overall trends for the presence of the different chemical components at tissue level. For further study, the material is also available for characterization at cellular and/or cell wall levels. Furthermore, the developed methodology allows for an increase in microscopic throughput, allowing for semi-automatic microscopic characterization and statistical evaluation. The data presented is a single measurement statistical evaluation and multivariate analysis is currently being conducted. In order to determine the effect of genotypes and lines a statistical model was developed

Published in

Title: 2010 International Workshop on Wood biorefinery and Tree Biotechnology
Publisher: Umeå Plant Science Centre

Conference

2010 International Workshop on Wood Biorefinery and Tree Biotechnology

SLU Authors

• Sandquist, David

  • Department of Forest Products, Swedish University of Agricultural Sciences
    

• Stålhandske, Lada

  • Department of Forest Products, Swedish University of Agricultural Sciences
    

• Daniel, Geoffrey

  • Department of Forest Products, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Forest Science


Permanent link to this page (URI)

https://res.slu.se/id/publ/29730