ArticleFungal biology and biotechnology2015
A framework for an organelle-based mathematical modeling of hyphae.
Article in Fungal biology and biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 14 citations in OpenAlex.
- Understanding and controlling filamentous growth of fungal cell factories: novel tools and opportunities for targeted morphology engineering.Fungal biology and biotechnology · 2021Article
- Moulding the mould: understanding and reprogramming filamentous fungal growth and morphogenesis for next generation cell factories.Biotechnology for biofuels · 2019Review
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1 author at 1 institution in 1 country.
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Abstract
backgroundAlthough highly desirable, a mechanistic explanation for the outstanding protein secretion capabilities of fungi such as
resultsThe main result of this contribution is a generic modeling framework to describe the space- and time-dependent evolution of intracellular substances and organelles. It takes intrahyphal, passive and active transport of substances into account and explains exponential and then linear length growth by tugor-driven uptake of water. Experimentally observed increasing concentration levels of organelles towards the tip can be well explained within the framework without resorting to complex biological regulations. It is shown that the accumulation can be partly explained by geometrical constraints, besides a necessary deceleration of the active transport velocity. The model is formulated such that more intricate intracellular processes can be included.
conclusionsResults from steady-state experiments are easy to be interpreted. In a hyphal network, however, new branches are produced at an exponential rate. Moreover, passive and active transport processes give rise to a spatial distribution of organelles and other cytoplasmatic constituents inside hyphae. As a result, most of the data obtained in experiments will be from a non-steady and space dependent state. A quantitative and mechanistic explanation of the processes occurring will only be possible if these dependencies are taking into account while evaluating experimental findings.
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