Literature DB >> 17008992

Study of the three-way interaction between Trichoderma atroviride, plant and fungal pathogens by using a proteomic approach.

Roberta Marra1, Patrizia Ambrosino, Virginia Carbone, Francesco Vinale, Sheridan L Woo, Michelina Ruocco, Rosalia Ciliento, Stefania Lanzuise, Simona Ferraioli, Ida Soriente, Sarah Gigante, David Turrà, Vincenzo Fogliano, Felice Scala, Matteo Lorito.   

Abstract

The main molecular factors involved in the complex interactions occurring between plants (bean), two different fungal pathogens (Botrytis cinerea, Rhizoctonia solani) and an antagonistic strain of the genus Trichoderma were investigated. Two-dimensional (2-D) electrophoresis was used to analyze separately collected proteomes from each single, two- or three-partner interaction (i.e., plant, pathogenic and antagonistic fungus alone and in all possible combinations). Differential proteins were subjected to mass spectrometry and in silico analysis to search for homologies with known proteins. In the plant proteome, specific pathogenesis-related proteins and other disease-related factors (i.e., potential resistance genes) seem to be associated with the interaction with either one of the two pathogens and/or T. atroviride. This finding is in agreement with the demonstrated ability of Trichoderma spp. to induce systemic resistance against various microbial pathogens. On the other side, many differential proteins obtained from the T. atroviride interaction proteome showed interesting homologies with a fungal hydrophobin, ABC transporters, etc. Virulence factors, like cyclophilins, were up-regulated in the pathogen proteome during the interaction with the plant alone or with the antagonist too. We isolated and confidently identified a large number of protein factors associated to the multi-player interactions examined.

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Year:  2006        PMID: 17008992     DOI: 10.1007/s00294-006-0091-0

Source DB:  PubMed          Journal:  Curr Genet        ISSN: 0172-8083            Impact factor:   3.886


  52 in total

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Journal:  Annu Rev Biochem       Date:  2003       Impact factor: 23.643

Review 2.  Deciphering plant-pathogen communication: fresh perspectives for molecular resistance breeding.

Authors:  Kim E Hammond-Kosack; Jane E Parker
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Review 3.  Plant proteome analysis.

Authors:  Francisco M Cánovas; Eliane Dumas-Gaudot; Ghislaine Recorbet; Jesus Jorrin; Hans-Peter Mock; Michel Rossignol
Journal:  Proteomics       Date:  2004-02       Impact factor: 3.984

Review 4.  Proteomics in pathology research.

Authors:  Megan S Lim; Kojo S J Elenitoba-Johnson
Journal:  Lab Invest       Date:  2004-10       Impact factor: 5.662

Review 5.  Current two-dimensional electrophoresis technology for proteomics.

Authors:  Angelika Görg; Walter Weiss; Michael J Dunn
Journal:  Proteomics       Date:  2004-12       Impact factor: 3.984

6.  Improvement of the fungal biocontrol agent Trichoderma atroviride to enhance both antagonism and induction of plant systemic disease resistance.

Authors:  Kurt Brunner; Susanne Zeilinger; Rosalia Ciliento; Sheridian L Woo; Matteo Lorito; Christian P Kubicek; Robert L Mach
Journal:  Appl Environ Microbiol       Date:  2005-07       Impact factor: 4.792

7.  Enzyme diffusion from Trichoderma atroviride (= T. harzianum P1) to Rhizoctonia solani is a prerequisite for triggering of Trichoderma ech42 gene expression before mycoparasitic contact.

Authors:  C Kullnig; R L Mach; M Lorito; C P Kubicek
Journal:  Appl Environ Microbiol       Date:  2000-05       Impact factor: 4.792

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Journal:  Appl Environ Microbiol       Date:  2003-12       Impact factor: 4.792

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Authors:  Ramu S Saravanan; Jocelyn K C Rose
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10.  Proteomic analysis of pathogen-responsive proteins from rice leaves induced by rice blast fungus, Magnaporthe grisea.

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  46 in total

1.  Phytohormone profiles induced by trichoderma isolates correspond with their biocontrol and plant growth-promoting activity on melon plants.

Authors:  Ainhoa Martínez-Medina; Maria Del Mar Alguacil; Jose A Pascual; Saskia C M Van Wees
Journal:  J Chem Ecol       Date:  2014-07-15       Impact factor: 2.626

2.  Genome wide analysis of Cyclophilin gene family from rice and Arabidopsis and its comparison with yeast.

Authors:  Dipesh Kumar Trivedi; Sandep Yadav; Neha Vaid; Narendra Tuteja
Journal:  Plant Signal Behav       Date:  2012-10-16

3.  Differential display of abundantly expressed genes of Trichoderma harzianum during colonization of tomato-germinating seeds and roots.

Authors:  Mehdi Mehrabi-Koushki; Hamid Rouhani; Esmat Mahdikhani-Moghaddam
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4.  Statistical culture-based strategies to enhance chlamydospore production by Trichoderma harzianum SH2303 in liquid fermentation.

Authors:  Ya-Qian Li; Kai Song; Ya-Chai Li; Jie Chen
Journal:  J Zhejiang Univ Sci B       Date:  2016-08       Impact factor: 3.066

5.  Identifying beneficial qualities of Trichoderma parareesei for plants.

Authors:  M Belén Rubio; Narciso M Quijada; Esclaudys Pérez; Sara Domínguez; Enrique Monte; Rosa Hermosa
Journal:  Appl Environ Microbiol       Date:  2014-01-10       Impact factor: 4.792

6.  Secretome of Trichoderma interacting with maize roots: role in induced systemic resistance.

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Journal:  Mol Cell Proteomics       Date:  2015-02-13       Impact factor: 5.911

7.  The molecular basis of shoot responses of maize seedlings to Trichoderma harzianum T22 inoculation of the root: a proteomic approach.

Authors:  Michal Shoresh; Gary E Harman
Journal:  Plant Physiol       Date:  2008-06-18       Impact factor: 8.340

Review 8.  Biology and biotechnology of Trichoderma.

Authors:  André Schuster; Monika Schmoll
Journal:  Appl Microbiol Biotechnol       Date:  2010-05-12       Impact factor: 4.813

Review 9.  Proteomics of plant pathogenic fungi.

Authors:  Raquel González-Fernández; Elena Prats; Jesús V Jorrín-Novo
Journal:  J Biomed Biotechnol       Date:  2010-05-27

10.  Gene expression analysis of the biocontrol fungus Trichoderma harzianum in the presence of tomato plants, chitin, or glucose using a high-density oligonucleotide microarray.

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Journal:  BMC Microbiol       Date:  2009-10-13       Impact factor: 3.605

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