An advanced method for the release, enrichment and purification of high-quality Arabidopsis thaliana rosette leaf trichomes enables profound insights into the trichome proteome

Interplay of EXO70 and MLO proteins modulates trichome cell wall composition and susceptibility to powdery mildew

Exocyst component of 70-kDa (EXO70) proteins are constituents of the exocyst complex implicated in vesicle tethering during exocytosis. MILDEW RESISTANCE LOCUS O (MLO) proteins are plant-specific calcium channels and some MLO isoforms enable fungal powdery mildew pathogenesis. We here detected an unexpected phenotypic overlap of Arabidopsis thaliana exo70H4 and mlo2 mlo6 mlo12 triple mutant plants regarding the biogenesis of leaf trichome secondary cell walls. Biochemical and Fourier transform infrared spectroscopic analyses corroborated deficiencies in the composition of trichome cell walls in these mutants. Transgenic lines expressing fluorophore-tagged EXO70H4 and MLO exhibited extensive colocalization of these proteins. Furthermore, mCherry-EXO70H4 mislocalized in trichomes of the mlo triple mutant and, vice versa, MLO6-GFP mislocalized in trichomes of the exo70H4 mutant. Expression of GFP-marked PMR4 callose synthase, a known cargo of EXO70H4-dependent exocytosis, revealed reduced cell wall delivery of GFP-PMR4 in trichomes of mlo triple mutant plants. In vivo protein-protein interaction assays in plant and yeast cells uncovered isoform-preferential interactions between EXO70.2 subfamily members and MLO proteins. Finally, exo70H4 and mlo6 mutants, when combined, showed synergistically enhanced resistance to powdery mildew attack. Taken together, our data point to an isoform-specific interplay of EXO70 and MLO proteins in the modulation of trichome cell wall biogenesis and powdery mildew susceptibility.

Efficient Indexing of Peptides for Database Search Using Tide

The first step in the analysis of protein tandem mass spectrometry data typically involves searching the observed spectra against a protein database. During database search, the search engine must digest the proteins in the database into peptides, subject to digestion rules that are under user control. The choice of these digestion parameters, as well as selection of post-translational modifications (PTMs), can dramatically affect the size of the search space and hence the statistical power of the search. The Tide search engine separates the creation of the peptide index from the database search step, thereby saving time by allowing a peptide index to be reused in multiple searches. Here we describe an improved implementation of the indexing component of Tide that consumes around four times less resources (CPU and RAM) than the previous version and can generate arbitrarily large peptide databases, limited by only the amount of available disk space. We use this improved implementation to explore the relationship between database size and the parameters controlling digestion and PTMs, as well as database size and statistical power. Our results can help guide practitioners in proper selection of these important parameters.

Proteomics dataset on detached and purified Arabidopsis thaliana rosette leaf trichomes

Trichomes are highly specialized uni- or multicellular outgrowths of epidermal cells of plant organs that, in the case of leaves, contribute to plant resistance against abiotic and biotic stress. The model plant Arabidopsis thaliana features single-celled non-glandular rosette leaf trichomes that are dispensable under laboratory conditions. Trichomes have therefore become a successful model to identify plant genes involved in cellular differentiation and cell wall development. We have recently devised an improved method for the enrichment of plant leaf trichomes that relies on the biochemical weakening of the trichome-leaf junctions and a magnetic stirrer-based mechanical stimulus for trichome release followed by density gradient purification of trichomes. Here we provide detailed information on a label-free quantitative (LFQ) shotgun proteomics dataset collected at four stages while applying this protocol to isolate trichomes from rosette leaves of A. thaliana, from (i) whole seedlings before enrichment, from (ii) trichome-depleted material after separation, from (iii) detached trichomes, and from (iv) enriched trichomes after sucrose density gradient centrifugation. Proteins were extracted, digested with trypsin and the resulting peptides identified by nanoflow-chromatography coupled to tandem mass spectrometry. This dataset informs on proteins and biochemical processes present and/or enriched in A. thaliana rosette leaf trichomes, complementing recent large-scale proteome maps. The data further enables comparative analysis with trichome proteomic data from other plant species, may be reanalyzed using different software packages or search settings, and may serve as a reference benchmark for future method refinement.