Literature DB >> 27010366

Prediction of the in planta Phakopsora pachyrhizi secretome and potential effector families.

Mayra C da C G de Carvalho1, Leandro Costa Nascimento2, Luana M Darben3, Adriana M Polizel-Podanosqui3, Valéria S Lopes-Caitar3,4, Mingsheng Qi5, Carolina S Rocha3, Marcelo Falsarella Carazzolle2, Márcia K Kuwahara3, Goncalo A G Pereira2, Ricardo V Abdelnoor3, Steven A Whitham5, Francismar C Marcelino-Guimarães3.   

Abstract

Asian soybean rust (ASR), caused by the obligate biotrophic fungus Phakopsora pachyrhizi, can cause losses greater than 80%. Despite its economic importance, there is no soybean cultivar with durable ASR resistance. In addition, the P. pachyrhizi genome is not yet available. However, the availability of other rust genomes, as well as the development of sample enrichment strategies and bioinformatics tools, has improved our knowledge of the ASR secretome and its potential effectors. In this context, we used a combination of laser capture microdissection (LCM), RNAseq and a bioinformatics pipeline to identify a total of 36 350 P. pachyrhizi contigs expressed in planta and a predicted secretome of 851 proteins. Some of the predicted secreted proteins had characteristics of candidate effectors: small size, cysteine rich, do not contain PFAM domains (except those associated with pathogenicity) and strongly expressed in planta. A comparative analysis of the predicted secreted proteins present in Pucciniales species identified new members of soybean rust and new Pucciniales- or P. pachyrhizi-specific families (tribes). Members of some families were strongly up-regulated during early infection, starting with initial infection through haustorium formation. Effector candidates selected from two of these families were able to suppress immunity in transient assays, and were localized in the plant cytoplasm and nuclei. These experiments support our bioinformatics predictions and show that these families contain members that have functions consistent with P. pachyrhizi effectors.
© 2016 BSPP AND JOHN WILEY & SONS LTD.

Entities:  

Keywords:  ETI suppression; LCM; P. pachyrhizi; effectors; secretome; soybean rust; transcriptome

Mesh:

Substances:

Year:  2016        PMID: 27010366      PMCID: PMC6638266          DOI: 10.1111/mpp.12405

Source DB:  PubMed          Journal:  Mol Plant Pathol        ISSN: 1364-3703            Impact factor:   5.663


  5 in total

Review 1.  Infection Strategies and Pathogenicity of Biotrophic Plant Fungal Pathogens.

Authors:  Johannes Mapuranga; Na Zhang; Lirong Zhang; Jiaying Chang; Wenxiang Yang
Journal:  Front Microbiol       Date:  2022-06-02       Impact factor: 6.064

2.  New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta.

Authors:  Michelle Pires Rincão; Mayra Costa da Cruz Gallo de Carvalho; Leandro Costa Nascimento; Valéria S Lopes-Caitar; Kenia de Carvalho; Luana M Darben; Alessandra Yokoyama; Marcelo Falsarella Carazzolle; Ricardo Vilela Abdelnoor; Francismar Correa Marcelino-Guimarães
Journal:  Genet Mol Biol       Date:  2018 Jul/Sept.       Impact factor: 1.771

3.  Candidate Effectors From Uromyces appendiculatus, the Causal Agent of Rust on Common Bean, Can Be Discriminated Based on Suppression of Immune Responses.

Authors:  Mingsheng Qi; Yu Mei; James P Grayczyk; Luana M Darben; Martin E G Rieker; Janina M Seitz; Ralf T Voegele; Steven A Whitham; Tobias I Link
Journal:  Front Plant Sci       Date:  2019-10-04       Impact factor: 5.753

4.  Reduction of Phakopsora pachyrhizi infection on soybean through host- and spray-induced gene silencing.

Authors:  Dongfang Hu; Zhi-Yuan Chen; Chunquan Zhang; Mala Ganiger
Journal:  Mol Plant Pathol       Date:  2020-03-20       Impact factor: 5.663

Review 5.  Identification of Plasmodiophora brassicae effectors - A challenging goal.

Authors:  Edel Pérez-López; Matthew Waldner; Musharaf Hossain; Anthony J Kusalik; Yangdou Wei; Peta C Bonham-Smith; Christopher D Todd
Journal:  Virulence       Date:  2018       Impact factor: 5.882

  5 in total

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