Plants are an indispensable cornerstone of sustainable global food supply. While immense progress has been made in decoding the genomes of crops in recent decades, the composition of their proteomes, the entirety of all expressed proteins of a species, is virtually unknown. In contrast to the model plant Arabidopsis thaliana, proteomic analyses of crop plants have often been hindered by the presence of extreme concentrations of secondary metabolites such as pigments, phenolic compounds, lipids, carbohydrates or terpenes. As a consequence, crop proteomic experiments have, thus far, required individually optimized protein extraction protocols to obtain samples of acceptable quality for downstream analysis by liquid chromatography tandem mass spectrometry (LC-MS/MS). In this article, we present a universal protein extraction protocol originally developed for gel-based experiments and combined it with an automated single-pot solid-phase-enhanced sample preparation (SP3) protocol on a liquid handling robot to prepare high-quality samples for proteomic analysis of crop plants. We also report an automated offline peptide separation protocol and optimized micro-LC-MS/MS conditions that enables the identification and quantification of ~10,000 proteins from plant tissue within 6 h of instrument time. We illustrate the utility of the workflow by analyzing the proteomes of mature tomato fruits to an unprecedented depth. The data demonstrate the robustness of the approach which we propose for use in upcoming large-scale projects that aim to map crop tissue proteomes.

Anthocyanins are colorful plant pigments with antioxidant properties, and a diet rich in these flavonoids bears health benefits. Therefore, a strong anthocyanin accumulation in edible plant parts is of significant interest, and in Malus domestica, the domesticated apple, certain red-fleshed apple varieties exhibit this trait. Enhanced anthocyanin accumulation in the flesh of apple fruits is attributed to the hyperactivation of the MYB transcription factor MdMYB10, which acts as a key regulator of anthocyanin biosynthesis by inducing the expression of multiple biosynthetic genes. While several studies have explored the underlying genetic mutations and resulting transcriptome changes, there is a lack of research on proteome alterations that cause the red-fleshed apple phenotype. To address this gap, a mass spectrometry-based proteomics approach was employed. Comparative proteomics identified differentially abundant proteins in young and mature fruits of the red-fleshed 'Bay13645' variety compared to the white-fleshed 'Gala'. Whereas several MYB transcription factors were enriched during early fruit development, they were no longer among the hyper-abundant proteins in ripe fruits of the red-fleshed genotype. In contrast, anthocyanin biosynthetic enzymes were enriched more strongly in ripe fruits of the red-fleshed cultivar, supporting previous results which had indicated developmental stage-specific differences in the control of the pigmentation process. The proteomic approach also identified novel regulatory factors and enzymes that may contribute to the red-fleshed apple phenotype, including a BAHD acyltransferase, Mal d proteins, and transcription factors of diverse families, and their potential relevance for the exhibition of this trait is discussed. SIGNIFICANCE: This study offers insights into the molecular mechanisms driving anthocyanin accumulation in red-fleshed apples. Utilizing a mass spectrometry-based proteomics strategy, the study reveals proteome alterations during fruit development that underlie the red-fleshed phenotype in Malus domestica. Notably, key enzymes of anthocyanin biosynthesis were markedly upregulated, underscoring their role in the pigmentation of the apple fruit pulp. Importantly, the study also identifies previously uncharacterized proteins, including a BAHD acyltransferase and a suite of transcription factors, shedding new light on the regulatory network orchestrating anthocyanin accumulation. These findings significantly expand our understanding of metabolic pathways that contribute to fruit pigmentation and open promising avenues for targeted crop improvement.