Literature DB >> 34282283

Drosophila attack inhibits hyphal regeneration and defense mechanisms activation for the fungus Trichoderma atroviride.

Karina Atriztán-Hernández1, Alfredo Herrera-Estrella2.   

Abstract

The capability to respond to wounding is a process shared by organisms of different kingdoms that can result in the regeneration of whole-body parts or lost structures or organs. Filamentous fungi constitute a rich food source that ensures survival and reproduction of their predators and are therefore continuously exposed to mechanical damage. Nevertheless, our understanding of how fungi respond to wounding and predators is scarce. Fungi like plants and animals respond to injury recognizing Damage- and Microbe-Associated Molecular Patterns (DAMPs/MAMPs) that activate Ca2+ and Mitogen-Activated Protein Kinase dependent signaling for the activation of defense mechanisms. During herbivory, plants, in addition to activating pathways related to injury, activate specific responses to combat their predators. Using a transcriptional approach, we studied the capacity of the filamentous fungus Trichoderma atroviride to activate specific responses to injury and attack by different arthropods. Attack by Drosophila melanogaster inhibited the transcriptional activation of genes required for hyphal regeneration, and the fungal innate immune and chemical defense responses. We also provide mechanistic insight of this inhibition involving components of the D. melanogaster salivary glands that repress the expression of a set of genes and block hyphal regeneration.
© 2021. The Author(s), under exclusive licence to International Society for Microbial Ecology.

Entities:  

Mesh:

Year:  2021        PMID: 34282283      PMCID: PMC8692604          DOI: 10.1038/s41396-021-01068-9

Source DB:  PubMed          Journal:  ISME J        ISSN: 1751-7362            Impact factor:   10.302


  28 in total

Review 1.  Fatal attraction: nonself recognition and heterokaryon incompatibility in filamentous fungi.

Authors:  N Louise Glass; Isao Kaneko
Journal:  Eukaryot Cell       Date:  2003-02

Review 2.  Chemical ecology of fungi.

Authors:  Peter Spiteller
Journal:  Nat Prod Rep       Date:  2015-07       Impact factor: 13.423

Review 3.  Pattern recognition receptors--molecular orchestrators of inflammation in inflammatory bowel disease.

Authors:  David Walsh; Joanna McCarthy; Caitriona O'Driscoll; Silvia Melgar
Journal:  Cytokine Growth Factor Rev       Date:  2012-10-25       Impact factor: 7.638

4.  A lectin-mediated resistance of higher fungi against predators and parasites.

Authors:  S Bleuler-Martínez; A Butschi; M Garbani; M A Wälti; T Wohlschlager; E Potthoff; J Sabotiĉ; J Pohleven; P Lüthy; M O Hengartner; M Aebi; M Künzler
Journal:  Mol Ecol       Date:  2011-04-12       Impact factor: 6.185

5.  Larval saliva in Drosophila melanogaster: production, composition, and relationship to chromosome puffs.

Authors:  G Korge
Journal:  Dev Biol       Date:  1977-07-15       Impact factor: 3.582

6.  NLR surveillance of essential SEC-9 SNARE proteins induces programmed cell death upon allorecognition in filamentous fungi.

Authors:  Jens Heller; Corinne Clavé; Pierre Gladieux; Sven J Saupe; N Louise Glass
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-20       Impact factor: 11.205

7.  An injury-response mechanism conserved across kingdoms determines entry of the fungus Trichoderma atroviride into development.

Authors:  Miguel A Hernández-Oñate; Edgardo U Esquivel-Naranjo; Artemio Mendoza-Mendoza; Alison Stewart; Alfredo H Herrera-Estrella
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-27       Impact factor: 11.205

8.  REVIGO summarizes and visualizes long lists of gene ontology terms.

Authors:  Fran Supek; Matko Bošnjak; Nives Škunca; Tomislav Šmuc
Journal:  PLoS One       Date:  2011-07-18       Impact factor: 3.240

9.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

10.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.