scholarly journals Mannitol metabolism during pathogenic fungal–host interactions under stressed conditions

2015 ◽  
Vol 6 ◽  
Author(s):  
Mukesh Meena ◽  
Vishal Prasad ◽  
Andleeb Zehra ◽  
Vijai K. Gupta ◽  
Ram S. Upadhyay
Keyword(s):  
Fungal Host ◽  
Host Interactions ◽  
Mannitol Metabolism

Iron and siderophores in fungal–host interactions

2008 ◽  
Vol 112 (2) ◽  
pp. 170-183 ◽  
Author(s):  
Linda Johnson
Keyword(s):  
Fungal Host ◽  
Host Interactions

scholarly journals In vitro infection models to study fungal-host interactions

2021 ◽  
Author(s):  
Antonia Last ◽  
Michelle Maurer ◽  
Alexander S Mosig ◽  
Mark S Gresnigt ◽  
Bernhard Hube
Keyword(s):  
Fungal Infections ◽  
In Vitro Models ◽  
Fungal Host ◽  
Host Interactions ◽  
Mucosal Surfaces ◽  
Life Threatening ◽  
On Chip ◽  
Fungal Interactions

Abstract Fungal infections (mycoses) affect over a billion people per year. Approximately two million of these infections are life-threatening, especially for patients with a compromised immune system. Fungi of the genera Aspergillus, Candida, Histoplasma, and Cryptococcus are opportunistic pathogens that contribute to a substantial number of mycoses. To optimize the diagnosis and treatment of mycoses, we need to understand the complex fungal-host interplay during pathogenesis, the fungal attributes causing virulence, and how the host resists infection via immunological defenses. In vitro models can be used to mimic fungal infections of various tissues and organs and the corresponding immune responses at near-physiological conditions. Furthermore, models can include fungal interactions with the host-microbiota to mimic the in vivo situation on skin and mucosal surfaces. This article reviews currently used in vitro models of fungal infections ranging from cell monolayers to microfluidic 3D organ-on-chip (OOC) platforms. We also discuss how OOC models can expand the toolbox for investigating interactions of fungi and their human hosts in the future.

scholarly journals Transcriptome Profiling Data of Botrytis cinerea Infection on Whole Plant Solanum lycopersicum

2020 ◽  
Vol 33 (9) ◽  
pp. 1103-1107 ◽  
Author(s):  
Dhruv Aditya Srivastava ◽  
Gulab Chand Arya ◽  
Eswari PJ Pandaranayaka ◽  
Ekaterina Manasherova ◽  
Dov B. Prusky ◽  
...  
Keyword(s):  
Botrytis Cinerea ◽  
Solanum Lycopersicum ◽  
Model Organism ◽  
Transcriptome Profiling ◽  
Infection Process ◽  
Future Research ◽  
Fungal Host ◽  
Host Interactions ◽  
Whole Plant ◽  
Gene Count

Botrytis cinerea is a foliar necrotrophic fungal-pathogen capable of infecting >580 genera of plants, is often used as model organism for studying fungal-host interactions. We used RNAseq to study transcriptome of B. cinerea infection on a major (worldwide) vegetable crop, tomato (Solanum lycopersicum). Most previous works explored only few infection stages, using RNA extracted from entire leaf-organ diluting the expression of studied infected region. Many studied B. cinerea infection, on detached organs assuming that similar defense/physiological reactions occurs in the intact plant. We analyzed transcriptome of the pathogen and host in 5 infection stages of whole-plant leaves at the infection site. We supply high quality, pathogen-enriched gene count that facilitates future research of the molecular processes regulating the infection process.

scholarly journals Active Fungal Communities in Asymptomatic Eucalyptus grandis Stems Differ between a Susceptible and Resistant Clone

2019 ◽  
Vol 7 (10) ◽  
pp. 375
Author(s):  
Mandy Messal ◽  
Bernard Slippers ◽  
Sanushka Naidoo ◽  
Oliver Bezuidt ◽  
Martin Kemler
Keyword(s):  
Molecular Mechanisms ◽  
Eucalyptus Grandis ◽  
Fungal Communities ◽  
Biological Functions ◽  
Fungal Host ◽  
Host Interactions ◽  
Plant Parts ◽  
Significant Difference ◽  
Microbe Interactions ◽  
Plant Transcriptome

Fungi represent a common and diverse part of the microbial communities that associate with plants. They also commonly colonise various plant parts asymptomatically. The molecular mechanisms of these interactions are, however, poorly understood. In this study we use transcriptomic data from Eucalyptus grandis, to demonstrate that RNA-seq data are a neglected source of information to study fungal–host interactions, by exploring the fungal transcripts they inevitably contain. We identified fungal transcripts from E. grandis data based on their sequence dissimilarity to the E. grandis genome and predicted biological functions. Taxonomic classifications identified, amongst other fungi, many well-known pathogenic fungal taxa in the asymptomatic tissue of E. grandis. The comparison of a clone of E. grandis resistant to Chrysoporthe austroafricana with a susceptible clone revealed a significant difference in the number of fungal transcripts, while the number of fungal taxa was not substantially affected. Classifications of transcripts based on their respective biological functions showed that the fungal communities of the two E. grandis clones associate with fundamental biological processes, with some notable differences. To shield the greater host defence machinery in the resistant E. grandis clone, fungi produce more secondary metabolites, whereas the environment for fungi associated with the susceptible E. grandis clone is more conducive for building fungal cellular structures and biomass growth. Secreted proteins included carbohydrate active enzymes that potentially are involved in fungal–plant and fungal–microbe interactions. While plant transcriptome datasets cannot replace the need for designed experiments to probe plant–microbe interactions at a molecular level, they clearly hold potential to add to the understanding of the diversity of plant–microbe interactions.

scholarly journals Fungal-host interactions: insights into microRNA in response to Paracoccidioides species

2020 ◽  
Vol 115 ◽  
Author(s):  
Junya de Lacorte Singulani ◽  
Julhiany de Fátima da Silva ◽  
Fernanda Patricia Gullo ◽  
Marina Célia Costa ◽  
Ana Marisa Fusco-Almeida ◽  
...  
Keyword(s):  
Fungal Host ◽  
Host Interactions

Non-host interactions to detect anti-Fusarium substances

Planta Medica ◽  
2011 ◽  
Vol 77 (12) ◽  
Author(s):  
O Schumpp ◽  
N Bruderhofer ◽  
K Gindro ◽  
J Wolfender
Keyword(s):  
Host Interactions
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