edoc

Hyphal network whole field imaging allows for accurate estimation of anastomosis rates and branching dynamics of the filamentous fungus Podospora anserina

Dikec, J. and Olivier, A. and Bobée, C. and D'Angelo, Y. and Catellier, R. and David, P. and Filaine, F. and Herbert, S. and Lalanne, Ch and Lalucque, H. and Monasse, L. and Rieu, M. and Ruprich-Robert, G. and Véber, A. and Chapeland-Leclerc, F. and Herbert, E.. (2020) Hyphal network whole field imaging allows for accurate estimation of anastomosis rates and branching dynamics of the filamentous fungus Podospora anserina. Scientific reports, 10 (1). p. 3131.

[img]
Preview
PDF - Published Version
Available under License CC BY (Attribution).

3958Kb

Official URL: https://edoc.unibas.ch/79644/

Downloads: Statistics Overview

Abstract

The success of filamentous fungi in colonizing most natural environments can be largely attributed to their ability to form an expanding interconnected network, the mycelium, or thallus, constituted by a collection of hyphal apexes in motion producing hyphae and subject to branching and fusion. In this work, we characterize the hyphal network expansion and the structure of the fungus Podospora anserina under controlled culture conditions. To this end, temporal series of pictures of the network dynamics are produced, starting from germinating ascospores and ending when the network reaches a few centimeters width, with a typical image resolution of several micrometers. The completely automated image reconstruction steps allow an easy post-processing and a quantitative analysis of the dynamics. The main features of the evolution of the hyphal network, such as the total length L of the mycelium, the number of "nodes" (or crossing points) N and the number of apexes A, can then be precisely quantified. Beyond these main features, the determination of the distribution of the intra-thallus surfaces (S; i; ) and the statistical analysis of some local measures of N, A and L give new insights on the dynamics of expanding fungal networks. Based on these results, we now aim at developing robust and versatile discrete/continuous mathematical models to further understand the key mechanisms driving the development of the fungus thallus.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Services Biozentrum > Imaging Core Facility (Biehlmaier)
UniBasel Contributors:Herbert, Sébastien
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Springer Nature
e-ISSN:2045-2322
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Identification Number:
edoc DOI:
Last Modified:31 Jan 2022 08:24
Deposited On:31 Jan 2022 08:24

Repository Staff Only: item control page