Literature DB >> 33322721

Peptide-Based Identification of Phytophthora Isolates and Phytophthora Detection in Planta.

Miroslav Berka1, Marie Greplová2, Iñigo Saiz-Fernández1, Jan Novák1, Markéta Luklová1, Pavla Zelená1, Michal Tomšovský3, Břetislav Brzobohatý1,4,5, Martin Černý1.   

Abstract

Phytophthora is arguably one of the most damaging genera of plant pathogens. This pathogen is well suited to transmission via the international plant trade, and globalization has been promoting its spread since the 19th century. Early detection is essential for reducing its economic and ecological impact. Here, a shotgun proteomics approach was utilized for Phytophthora analysis. The collection of 37 Phytophthora isolates representing 12 different species was screened for species-specific peptide patterns. Next, Phytophthora proteins were detected in planta, employing model plants Solanum tuberosum and Hordeum vulgare. Although the evolutionarily conserved sequences represented more than 10% of the host proteome and limited the pathogen detection, the comparison between qPCR and protein data highlighted more than 300 protein markers, which correlated positively with the amount of P. infestans DNA. Finally, the analysis of P. palmivora response in barley revealed significant alterations in plant metabolism. These changes included enzymes of cell wall metabolism, ROS production, and proteins involved in trafficking. The observed root-specific attenuation in stress-response mechanisms, including the biosynthesis of jasmonates, ethylene and polyamines, and an accumulation of serotonin, provided the first insight into molecular mechanisms behind this particular biotic interaction.

Entities:  

Keywords:  Hordeum vulgare; P. infestans; P. palmivora; Phytophthora; Solanum tuberosum; leaf inoculation; proteomics

Year:  2020        PMID: 33322721      PMCID: PMC7763169          DOI: 10.3390/ijms21249463

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  33 in total

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Authors:  Philip A O'Brien; Nari Williams; Giles E StJ Hardy
Journal:  Crit Rev Microbiol       Date:  2009       Impact factor: 7.624

2.  High-throughput proteotyping of bacterial isolates by double barrel chromatography-tandem mass spectrometry based on microplate paramagnetic beads and phylopeptidomics.

Authors:  Karim Hayoun; Jean-Charles Gaillard; Olivier Pible; Béatrice Alpha-Bazin; Jean Armengaud
Journal:  J Proteomics       Date:  2020-06-30       Impact factor: 4.044

Review 3.  The genus Phytophthora anno 2012.

Authors:  Laurens P N M Kroon; Henk Brouwer; Arthur W A M de Cock; Francine Govers
Journal:  Phytopathology       Date:  2012-04       Impact factor: 4.025

4.  Cross-species global proteomics reveals conserved and unique processes in Phytophthora sojae and Phytophthora ramorum.

Authors:  Alon Savidor; Ryan S Donahoo; Oscar Hurtado-Gonzales; Miriam L Land; Manesh B Shah; Kurt H Lamour; W Hayes McDonald
Journal:  Mol Cell Proteomics       Date:  2008-03-03       Impact factor: 5.911

5.  Electrical recognition of the twenty proteinogenic amino acids using an aerolysin nanopore.

Authors:  Hadjer Ouldali; Kumar Sarthak; Tobias Ensslen; Fabien Piguet; Philippe Manivet; Juan Pelta; Jan C Behrends; Aleksei Aksimentiev; Abdelghani Oukhaled
Journal:  Nat Biotechnol       Date:  2019-12-16       Impact factor: 54.908

6.  MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics.

Authors:  Andy T Kong; Felipe V Leprevost; Dmitry M Avtonomov; Dattatreya Mellacheruvu; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2017-04-10       Impact factor: 28.547

7.  The PRIDE database and related tools and resources in 2019: improving support for quantification data.

Authors:  Yasset Perez-Riverol; Attila Csordas; Jingwen Bai; Manuel Bernal-Llinares; Suresh Hewapathirana; Deepti J Kundu; Avinash Inuganti; Johannes Griss; Gerhard Mayer; Martin Eisenacher; Enrique Pérez; Julian Uszkoreit; Julianus Pfeuffer; Timo Sachsenberg; Sule Yilmaz; Shivani Tiwary; Jürgen Cox; Enrique Audain; Mathias Walzer; Andrew F Jarnuczak; Tobias Ternent; Alvis Brazma; Juan Antonio Vizcaíno
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

8.  The plant actin cytoskeleton responds to signals from microbe-associated molecular patterns.

Authors:  Jessica L Henty-Ridilla; Masaki Shimono; Jiejie Li; Jeff H Chang; Brad Day; Christopher J Staiger
Journal:  PLoS Pathog       Date:  2013-04-04       Impact factor: 6.823

9.  An expanded phylogeny for the genus Phytophthora.

Authors:  Xiao Yang; Brett M Tyler; Chuanxue Hong
Journal:  IMA Fungus       Date:  2017-11-21       Impact factor: 3.515

10.  Integrated Proteomic and Metabolomic Profiling of Phytophthora cinnamomi Attack on Sweet Chestnut (Castanea sativa) Reveals Distinct Molecular Reprogramming Proximal to the Infection Site and Away from It.

Authors:  Iñigo Saiz-Fernández; Ivan Milenković; Miroslav Berka; Martin Černý; Michal Tomšovský; Břetislav Brzobohatý; Pavel Kerchev
Journal:  Int J Mol Sci       Date:  2020-11-12       Impact factor: 5.923

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  3 in total

1.  Differences in the Proteomic and Metabolomic Response of Quercus suber and Quercus variabilis During the Early Stages of Phytophthora cinnamomi Infection.

Authors:  Iñigo Saiz-Fernández; Biljana Đorđević; Pavel Kerchev; Martin Černý; Thomas Jung; Miroslav Berka; Chuen-Hsu Fu; Marília Horta Jung; Břetislav Brzobohatý
Journal:  Front Microbiol       Date:  2022-06-13       Impact factor: 6.064

2.  The Omics Hunt for Novel Molecular Markers of Resistance to Phytophthora infestans.

Authors:  Hana Dufková; Miroslav Berka; Marie Greplová; Šarlota Shejbalová; Romana Hampejsová; Markéta Luklová; Jaroslava Domkářová; Jan Novák; Viktor Kopačka; Břetislav Brzobohatý; Martin Černý
Journal:  Plants (Basel)       Date:  2021-12-25

Review 3.  Regulation of heat shock proteins 70 and their role in plant immunity.

Authors:  Miroslav Berka; Romana Kopecká; Veronika Berková; Břetislav Brzobohatý; Martin Černý
Journal:  J Exp Bot       Date:  2022-04-05       Impact factor: 6.992

  3 in total

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