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1.
PLoS One ; 14(8): e0220762, 2019.
Article in English | MEDLINE | ID: mdl-31404108

ABSTRACT

The anatomical structure of wood is complex and contains considerable information about its specific species, physical properties, growth environment, and other factors. While conventional wood anatomy has been established by systematizing the xylem anatomical features, which enables wood identification generally up to genus level, it is difficult to describe all the information comprehensively. This study apply two computer vision approaches to optical micrographs: the scale-invariant feature transform algorithm and connected-component labelling. They extract the shape and pore size information, respectively, statistically from the whole micrographs. Both approaches enable the efficient detection of specific features of 18 species from the family Fagaceae. Although the methods ignore the positional information, which is important for the conventional wood anatomy, the simple information on the shape or size of the elements is enough to describe the species-specificity of wood. In addition, according to the dendrograms calculated from the numerical distances of the features, the closeness of some taxonomic groups is inconsistent with the types of porosity, which is one of the typical classification systems for wood anatomy, but consistent with the evolution based on molecular phylogeny; for example, ring-porous group Cerris and radial-porous group Ilex are nested in the same cluster. We analyse which part of the wood structure gave the taxon-specific information, indicating that the latewood zone of group Cerris is similar to the whole zone of group Ilex. Computer vision approaches provide statistical information that uncovers new aspects of wood anatomy that have been overlooked by conventional visual inspection.


Subject(s)
Fagaceae/anatomy & histology , Wood/anatomy & histology , Algorithms , Biological Evolution , Fagaceae/classification , Image Processing, Computer-Assisted , Quercus/anatomy & histology , Quercus/classification , Wood/classification
2.
J Plant Res ; 131(2): 297-305, 2018 Mar.
Article in English | MEDLINE | ID: mdl-28921082

ABSTRACT

The mechanism of monolignol transportation from the cytosol to the apoplast is still unclear despite being an essential step of lignification. Recently, ATP-binding cassette (ABC) transporters were suggested to be involved in monolignol transport. However, there are no reliable clues to the transporters of the major lignin monomers coniferyl and synapyl alcohol. In this study, the lignification progress of Arabidopsis cultured cells during tracheary element differentiation was monitored. The expression of selected transporter genes, as well as lignification and cell-wall formation related genes as references, in differentiating cultured cell samples harvested at 2-day intervals was analyzed by real-time PCR and the data were statistically processed. The cell wall formation transcription factor MYB46, programmed-cell death related gene XCP1 and lignin polymerization peroxidase AtPrx25 were classified into the same cluster. Furthermore, the cluster closest to the abovementioned cluster contained the lignin synthesis transcription factor MYB58 and the Arabidopsis ABC transporters ABCG11, ABCG22, ABCG36 and ABCG29. This result suggested that these four ABC transporters may be involved in lignification. In the expression analysis, unexpectedly, the lignification-related genes CAD5 and C4H were not included in the same cluster as MYB58 and AtPrx25. The expression data also suggested that the lignification of tracheary elements in the culture, where lignification ratio finally reached to around 40%, continued after cell death because lignification actively progressed after programmed cell death-related gene started to be expressed.


Subject(s)
Arabidopsis/metabolism , Cell Differentiation/genetics , Lignin/metabolism , Membrane Transport Proteins/genetics , Plant Proteins/genetics , Arabidopsis/genetics , Biological Transport , Cell Wall/physiology , Lignin/biosynthesis , Membrane Transport Proteins/metabolism , Plant Proteins/metabolism
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