Literature DB >> 17378426

Single-cell transcript profiling of barley attacked by the powdery mildew fungus.

Torben Gjetting1, Peter H Hagedorn, Patrick Schweizer, Hans Thordal-Christensen, Timothy L W Carver, Michael F Lyngkjaer.   

Abstract

In many plant-pathogen interactions, there are several possible outcomes for simultaneous attacks on the same leaf. For instance, an attack by the powdery mildew fungus on one barley leaf epidermal cell may succeed in infection and formation of a functional haustorium, whereas a neighboring cell attacked at the same time may resist fungal penetration. To date, the mixed cellular responses seen even in susceptible host leaves have made it difficult to relate induced changes in gene expression to resistance or susceptibility in bulk leaf samples. By microextraction of cell-specific mRNA and subsequent cDNA array analysis, we have successfully obtained separate gene expression profiles for specific mildew-resistant and -infected barley cells. Thus, for the first time, it is possible to identify genes that are specifically regulated in infected cells and, presumably, involved in fungal establishment. Further, although much is understood about the genetic basis of effective papilla resistance associated with mutant mlo barley, we provide here the first evidence for gene regulation associated with effective papilla-based nonspecific resistance expressed in nominally "susceptible" wild-type barley.

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Year:  2007        PMID: 17378426     DOI: 10.1094/MPMI-20-3-0235

Source DB:  PubMed          Journal:  Mol Plant Microbe Interact        ISSN: 0894-0282            Impact factor:   4.171


  9 in total

1.  The Powdery Mildew Disease of Arabidopsis: A Paradigm for the Interaction between Plants and Biotrophic Fungi.

Authors:  Cristina Micali; Katharina Göllner; Matt Humphry; Chiara Consonni; Ralph Panstruga
Journal:  Arabidopsis Book       Date:  2008-10-02

2.  Nonhost resistance of barley to different fungal pathogens is associated with largely distinct, quantitative transcriptional responses.

Authors:  Nina Zellerhoff; Axel Himmelbach; Wubei Dong; Stephane Bieri; Ulrich Schaffrath; Patrick Schweizer
Journal:  Plant Physiol       Date:  2010-02-19       Impact factor: 8.340

3.  Meta-analysis of transcripts associated with race-specific resistance to stripe rust in wheat demonstrates common induction of blue copper-binding protein, heat-stress transcription factor, pathogen-induced WIR1A protein, and ent-kaurene synthase transcripts.

Authors:  Tristan E Coram; Xueling Huang; Gangming Zhan; Matthew L Settles; Xianming Chen
Journal:  Funct Integr Genomics       Date:  2009-11-24       Impact factor: 3.410

4.  Tissue-adapted invasion strategies of the rice blast fungus Magnaporthe oryzae.

Authors:  Sylvain Marcel; Ruairidh Sawers; Edward Oakeley; Herbert Angliker; Uta Paszkowski
Journal:  Plant Cell       Date:  2010-09-21       Impact factor: 11.277

Review 5.  Plant glutathione transferase-mediated stress tolerance: functions and biotechnological applications.

Authors:  Irini Nianiou-Obeidat; Panagiotis Madesis; Christos Kissoudis; Georgia Voulgari; Evangelia Chronopoulou; Athanasios Tsaftaris; Nikolaos E Labrou
Journal:  Plant Cell Rep       Date:  2017-04-08       Impact factor: 4.570

Review 6.  Plant-pathogen interactions: what microarray tells about it?

Authors:  T D Lodha; J Basak
Journal:  Mol Biotechnol       Date:  2012-01       Impact factor: 2.860

7.  Accumulation of Transcripts Abundance after Barley Inoculation with Cochliobolus sativus.

Authors:  Mohammad Imad Eddin Arabi; Antonious Al-Daoude; Amina Shoaib; Mohammad Jawhar
Journal:  Plant Pathol J       Date:  2015-03-31       Impact factor: 1.795

8.  Barley genomics: An overview.

Authors:  Nese Sreenivasulu; Andreas Graner; Ulrich Wobus
Journal:  Int J Plant Genomics       Date:  2008

9.  Comparison of leaf transcriptome in response to Rhizoctonia solani infection between resistant and susceptible rice cultivars.

Authors:  Wei Shi; Shao-Lu Zhao; Kai Liu; Yi-Biao Sun; Zheng-Bin Ni; Gui-Yun Zhang; Hong-Sheng Tang; Jing-Wen Zhu; Bai-Jie Wan; Hong-Qin Sun; Jin-Ying Dai; Ming-Fa Sun; Guo-Hong Yan; Ai-Min Wang; Guo-Yong Zhu
Journal:  BMC Genomics       Date:  2020-03-19       Impact factor: 3.969

  9 in total

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