Proteogenomic Analysis of the Venturia pirina (Pear Scab Fungus) Secretome Reveals Potential Effectors

被引:11
|
作者
Cooke, Ira R. [1 ,2 ]
Jones, Dan [3 ,4 ]
Bowen, Joanna K. [5 ]
Deng, Cecilia [5 ]
Faou, Pierre [1 ]
Hall, Nathan E. [1 ,2 ]
Jayachandran, Vignesh [1 ]
Liem, Michael [1 ]
Taranto, Adam P. [3 ]
Plummer, Kim M. [3 ,4 ]
Mathivanan, Suresh [1 ]
机构
[1] La Trobe Univ, Dept Biochem, La Trobe Inst Mol Sci, Melbourne, Vic 3086, Australia
[2] La Trobe Univ, Life Sci Computat Ctr, Victorian Life Sci Computat Initiat, Melbourne, Vic 3086, Australia
[3] La Trobe Univ, Dept Bot, Ctr AgriBiosci, Melbourne, Vic 3086, Australia
[4] Plant Biosecur Cooperat Res Ctr, Bruce, ACT 2617, Australia
[5] New Zealand Inst Plant & Food Res Ltd PFR, Auckland 1025, New Zealand
基金
澳大利亚国家健康与医学研究理事会; 澳大利亚研究理事会;
关键词
Venturia pirina; proteogenomics; secreted effectors; Ave1; HIDDEN MARKOV MODEL; MASS-SPECTROMETRY; STATISTICAL-MODEL; SIGNAL PEPTIDASE; INAEQUALIS; PROTEIN; GENE; IDENTIFICATION; PREDICTION; GENOME;
D O I
10.1021/pr500176c
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A proteogenomic analysis is presented for Venturia pirina, a fungus that causes scab disease on European pear (Pyrus communis). V. pirina is host-specific, and the infection is thought to be mediated by secreted effector proteins. Currently, only 36 V. pirina proteins are catalogued in GenBank, and the genome sequence is not publicly available. To identify putative effectors, V. pirina was grown in vitro on and in cellophane sheets mimicking its growth in infected leaves. Secreted extracts were analyzed by tandem mass spectrometry, and the data (ProteomeXchange identifier PXD000710) was queried against a protein database generated by combining in silico predicted transcripts with six frame translations of a whole genome sequence of V. pirina (GenBank Accession JEMP00000000). We identified 1088 distinct V. pirina protein groups (FDR 1%) including 1085 detected for the first time. Thirty novel (not in silico predicted) proteins were found, of which 14 were identified as potential effectors based on characteristic features of fungal effector protein sequences. We also used evidence from semitryptic peptides at the protein N-terminus to corroborate in silico signal peptide predictions for 22 proteins, including several potential effectors. The analysis highlights the utility of proteogenomics in the study of secreted effectors.
引用
收藏
页码:3635 / 3644
页数:10
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