| Literature DB >> 29376928 |
Federico Lopez-Moya1, Luis V Lopez-Llorca2.
Abstract
Chitosan is a biopolymer with a wide range of applications. The use of chitosan in clinical medicine to control infections by fungal pathogens such as Candida spp. is one of its most promising applications in view of the reduced number of antifungals available. Chitosan increases intracellular oxidative stress, then permeabilizes the plasma membrane of sensitive filamentous fungus Neurospora crassa and yeast. Transcriptomics reveals plasma membrane homeostasis and oxidative metabolism genes as key players in the response of fungi to chitosan. A lipase and a monosaccharide transporter, both inner plasma membrane proteins, and a glutathione transferase are main chitosan targets in N. crassa. Biocontrol fungi such as Pochonia chlamydosporia have a low content of polyunsaturated free fatty acids in their plasma membranes and are resistant to chitosan. Genome sequencing of P. chlamydosporia reveals a wide gene machinery to degrade and assimilate chitosan. Chitosan increases P. chlamydosporia sporulation and enhances parasitism of plant parasitic nematodes by the fungus. Omics studies allow understanding the mode of action of chitosan and help its development as an antifungal and gene modulator.Entities:
Keywords: antifungal; biocontrol fungi (BCF); chitosan; gene modulator; genomics; transcriptomics
Year: 2016 PMID: 29376928 PMCID: PMC5753092 DOI: 10.3390/jof2010011
Source DB: PubMed Journal: J Fungi (Basel) ISSN: 2309-608X
Figure 1Filamentous fungi and yeast show large variability in chitosan sensitivity. Chitosan sensitivity is represented by the MIC (µg·mL−1) when the fungi are grown with chitosan in liquid media (unpublished and data from [6,7]).
Figure 2Chitosan inhibits growth of filamentous fungi (e.g., N. crassa) at low doses (A) by means of plasma membrane permeabilization which can be detected by flow cytometry (B); This process is preceded by early induction of intracellular oxidative stress detected by 2′–7′ dichlorofluorescein diacetate (DCF). Letters indicate statistical differences (p < 0.05) between chitosan concentrations (C); Graphs obtained from Lopez-Moya et al. 2015.
Figure 3Hierarchical cluster analysis of a set of 33 genes involved in chitosan response to chitosan with an early and late induction in response to chitosan. Elaborated from Lopez-Moya et al. 2016 using data from GEO Series accession number GSE75293 [48]. This figure was created with the software GENE-E from Bioconductor repository [49].
Figure 4Conceptual diagram of chitosan as an antifungal and gene modulator.