Targeted Proteomics Approach for Precision Plant Breeding
Author(s) -
Aakash Chawade,
Erik Alexandersson,
Therése Bengtsson,
Erik Andréasson,
Fredrik Levander
Publication year - 2015
Publication title -
journal of proteome research
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.644
H-Index - 161
eISSN - 1535-3907
pISSN - 1535-3893
DOI - 10.1021/acs.jproteome.5b01061
Subject(s) - proteomics , biology , computational biology , univariate , microbiology and biotechnology , genetic marker , marker assisted selection , solanum tuberosum , molecular marker , metabolomics , bioinformatics , genetics , multivariate statistics , computer science , botany , gene , machine learning
Selected reaction monitoring (SRM) is a targeted mass spectrometry technique that enables precise quantitation of hundreds of peptides in a single run. This technique provides new opportunities for multiplexed protein biomarker measurements. For precision plant breeding, DNA-based markers have been used extensively, but the potential of protein biomarkers has not been exploited. In this work, we developed an SRM marker panel with assays for 104 potato (Solanum tuberosum) peptides selected using univariate and multivariate statistics. Thereafter, using random forest classification, the prediction markers were identified for Phytopthora infestans resistance in leaves, P. infestans resistance in tubers, and plant yield in potato leaf secretome samples. The results suggest that the marker panel has the predictive potential for three traits, two of which have no commercial DNA markers so far. Furthermore, the marker panel was also tested and found to be applicable to potato clones not used during the marker development. The proposed workflow is thus a proof-of-concept for targeted proteomics as an efficient readout in accelerated breeding for complex and agronomically important traits.
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