Abstract
Continuous observation was performed using confocal laser scanning microscopy to visualize the three-dimensional microscopic growth of the brown-rot fungus, Postia placenta, for seventeen days. The morphological characterization of Postia placenta was quantitatively determined, including the tip extension rate, branch angle and branching length, (hyphal length between two adjacent branch sites). A voxel method has been developed to measure the growth of the biomass. Additionally, the tip extension rate distribution, the branch angle distribution and the branching length distribution, which quantified the hyphal growth characteristics, were evaluated. Statistical analysis revealed that the extension rate of tips was randomly distributed in space. The branch angle distribution did not change with the development of the colony, however, the branching length distribution did vary with the development of the colony. The experimental data will be incorporated into a lattice-based model simulating the growth of Postia placenta.
Highlights
Wood is a traditional constructive material in many parts of the world due to its solidity, lightness and sustainability
With an internal height of 5 mm and inner-radius of 7.5 mm, covered by glass coverslips with a thickness of 0.14 mm were designed for the observations using confocal microscopy
To avoid the contact of the suspension with the coverslip and to reduce the amount of small hyphal fragments in the inoculation, 5 μL of the suspension, (Postia placenta strain FPRL 280 mixed in sterilized water), was inoculated on the media
Summary
Wood is a traditional constructive material in many parts of the world due to its solidity, lightness and sustainability. Wood is biodegraded by insects, fungi and bacteria, resulting in the damage of lumber structures and the reduction of building service life. Throughout Europe and North America, they are the most common wood decay fungi within buildings [1]. Mathematical modeling has aroused great attention in the study of fungi [2, 3], which can forecast the behaviors of mycelial growth under different environmental conditions. Such modeling tools are likely to supplement costly and tedious experimental
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