Vesicle transport and growth dynamics in Aspergillus niger : Microscale modeling of secretory vesicle flow and centerline extraction from confocal fluorescent data

© 2020 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals LLC..

In this paper, we present a mathematical model to describe filamentous fungal growth based on intracellular secretory vesicles (SVs), which transport cell wall components to the hyphal tip. Vesicular transport inside elongating hyphae is modeled as an advection-diffusion-reaction equation with a moving boundary, transformed into fixed coordinates, and discretized using a high-order weighted essentially nonoscillatory discretization scheme. The model describes the production and the consumption of SVs with kinetic functions. Simulations are subsequently compared against distributions of SVs visualized by enhanced green fluorescent protein in young Aspergillus niger hyphae after germination. Intensity profile data are obtained using an algorithm scripted in ImageJ that extracts mean intensity distributions from 3D time-lapse confocal measurement data. Simulated length growth is in good agreement with the experimental data. Our simulations further show that a decrease of effective vesicle transport velocity towards the tip can explain the observed tip accumulation of SVs.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:117

Enthalten in:

Biotechnology and bioengineering - 117(2020), 9 vom: 01. Sept., Seite 2875-2886

Sprache:

Englisch

Beteiligte Personen:

Kunz, Philipp J [VerfasserIn]
Barthel, Lars [VerfasserIn]
Meyer, Vera [VerfasserIn]
King, Rudibert [VerfasserIn]

Links:

Volltext

Themen:

147336-22-9
Aspergillus niger
Enhanced green fluorescent protein
Filamentous fungi
Germ tube
Green Fluorescent Proteins
Journal Article
Modeling
Protein secretion
Research Support, Non-U.S. Gov't
Secretory vesicle

Anmerkungen:

Date Completed 13.09.2021

Date Revised 13.09.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1002/bit.27452

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM310896606