Journal
JOURNAL OF PROTEOMICS
Volume 200, Issue -, Pages 28-39Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jprot.2019.03.003
Keywords
Protein composition; Proteomics; Label-free quantification; Biostimulant; Durum wheat; DPI4913; AF086
Categories
Funding
- Pole Agri-Sud-Ouest Innovation
- Region Occitanie
- French FUI (Fond Unique Interministeriel)
- Bpifrance (Banque Publique d'Investissement)
- European funds (Fonds Europeens de Developpement Regional, FEDER), Toulouse Metropole
- French Ministry of Research
- Investissement d'Avenir Infrastructures Nationales en Biologie et Sante (ProFI, Proteomics French Infrastructure project) [ANR-10-INBS-08]
- ANRT
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Durum wheat requires high nitrogen inputs to obtain the high protein concentration necessary to satisfy pasta and semolina quality criteria. Optimizing plant nitrogen use efficiency is therefore of major importance for wheat grain quality. Here, we studied the impact on grain yield, protein concentration, and for the first time on protein composition of a marine (DPI4913) and a fungal (AF086) biostimulants applied to plant leaves. A largescale quantitative proteomics analysis of wheat flour samples led to a dataset of 1471 identified proteins. Quantitative analysis of 1391 proteins revealed 26 and 38 proteins with a significantly varying abundance after DPI4913 and AF086 treatment, respectively, with 14 proteins in common. Major effects affected proteins involved in grain technological properties like grain hardness, in storage functions with the gluten protein gammagliadin, in regulation processes with transcription regulator proteins, and in stress responses with biotic and abiotic stress defense proteins. The involvement of biostimulants in the abiotic stress response was further suggested by an increase in water-use efficiency for both DPI4913 (15.4%) and AF086 (9.9%) treatments. Overall, our work performed in controlled conditions showed that DPI4913 and AF086 treatments promoted grain yield while maintaining protein concentration, and positively affected protein composition for grain quality. Data are available via ProteomeXchange with identifier PXD012469.
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