Literature DB >> 33931602

A systematic analysis of apple root resistance traits to Pythium ultimum infection and the underpinned molecular regulations of defense activation.

Yanmin Zhu1, Melody Saltzgiver2.   

Abstract

Apple replant disease (ARD), caused by a pathogen complex, significantly impacts apple orchard establishment. The molecular regulation on ARD resistance has not been investigated until recently. A systematic phenotyping effort and a series of transcriptomic analyses were performed to uncover the underpinned molecular mechanism of apple root resistance to P. ultimum, a representative member in ARD pathogen complex. Genotype-specific plant survival rates and biomass reduction corresponded with microscopic features of necrosis progression patterns along the infected root. The presence of defined boundaries separating healthy and necrotic sections likely caused delayed necrosis expansion in roots of resistant genotypes compared with swift necrosis progression and profuse hyphae growth along infected roots of susceptible genotypes. Comprehensive datasets from a series of transcriptome analyses generated the first panoramic view of genome-wide transcriptional networks of defense activation between resistant and susceptible apple roots. Earlier and stronger molecular defense activation, such as pathogen perception and hormone signaling, may differentiate resistance from susceptibility in apple root. Delayed and interrupted activation of multiple defense pathways could have led to an inadequate resistance response. Using the panel of apple rootstock germplasm with defined resistant and susceptible phenotypes, selected candidate genes are being investigated by transgenic manipulation including CRISPR/Cas9 tools for their specific roles during apple root defense toward P. ultimum infection. Individual apple genes with validated functions regulating root resistance responses can be exploited for developing molecular tools for accurate and efficient incorporation of resistance traits into new apple rootstocks.

Entities:  

Year:  2020        PMID: 33931602     DOI: 10.1038/s41438-020-0286-4

Source DB:  PubMed          Journal:  Hortic Res        ISSN: 2052-7276            Impact factor:   6.793


  64 in total

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Journal:  Nat Rev Genet       Date:  2010-06-29       Impact factor: 53.242

Review 2.  Marker-assisted selection: an approach for precision plant breeding in the twenty-first century.

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3.  Elucidation of the microbial complex having a causal role in the development of apple replant disease in washington.

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Journal:  Phytopathology       Date:  1998-09       Impact factor: 4.025

Review 4.  The control of developmental phase transitions in plants.

Authors:  Peter Huijser; Markus Schmid
Journal:  Development       Date:  2011-10       Impact factor: 6.868

Review 5.  New Strategies and Tools in Quantitative Genetics: How to Go from the Phenotype to the Genotype.

Authors:  Christos Bazakos; Mathieu Hanemian; Charlotte Trontin; José M Jiménez-Gómez; Olivier Loudet
Journal:  Annu Rev Plant Biol       Date:  2017-02-06       Impact factor: 26.379

Review 6.  Future scenarios for plant phenotyping.

Authors:  Fabio Fiorani; Ulrich Schurr
Journal:  Annu Rev Plant Biol       Date:  2013-02-28       Impact factor: 26.379

Review 7.  Genotypes, Networks, Phenotypes: Moving Toward Plant Systems Genetics.

Authors:  Takehiko Ogura; Wolfgang Busch
Journal:  Annu Rev Cell Dev Biol       Date:  2016-08-03       Impact factor: 13.827

Review 8.  Molecular and genetic aspects of controlling the soilborne necrotrophic pathogens Rhizoctonia and Pythium.

Authors:  Patricia A Okubara; Martin B Dickman; Ann E Blechl
Journal:  Plant Sci       Date:  2014-02-12       Impact factor: 4.729

9.  Identification and Pathogenicity of Rhizoctonia spp. Isolated from Apple Roots and Orchard Soils.

Authors:  M Mazzola
Journal:  Phytopathology       Date:  1997-06       Impact factor: 4.025

Review 10.  Wheels within wheels: the plant circadian system.

Authors:  Polly Yingshan Hsu; Stacey L Harmer
Journal:  Trends Plant Sci       Date:  2013-12-24       Impact factor: 18.313

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