Browsing by Subject "Phosphatbegrenzung"

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    Adaptations of maize to low phosphate availability : establishing regulatory networks from large-scale quantitative proteomic profiling
    (2022) He, Mingjie; Schulze, Waltraud
    Maize (Zea mays) is an important crop in global for human food, animal feed and industrial usage. Suboptimal phosphorus (P) availability is one of the primary constraints for maize growth and productivity (Jianbo Shen et al., 2011; L.pez-Arredondo et al., 2014). Over 70% arable land suffers from P-deficiency, and plants can take up small amounts of P from the soil due to P-fixation. However, over-application of P fertilizer has frequently happened in last decades and resulted in environmental pollution (L.pez- Arredondo et al., 2014). Modern agriculture calls for maintaining productivity while reducing synthetic-P fertilizer inputs and losses, thus, requiring breeding of novel cultivars to increase phosphate use efficiency (PUE) (Balemi and Negisho, 2012; X., Li, Mang, et al., 2021; Mardamootoo et al., 2021). Understanding the regulation of maize to low phosphate(LP)-availability at the molecular level will offer unlimited potential for the development of selection markers and engineering targets in breeding programs. Nowadays, “OMIC” approaches and computational science are developing rapidly. They are advanced tools for investigation of molecular adaptations on a large-scale and in a systemic view. Thereby, the major research task within this thesis is to reveal P-deficiency induced responsive components and regulations at protein level based on proteomic profiles, aiming to provide promising candidate genes/proteins for research on the molecular mechanisms of adaptation to LP-stress, and potentially to provide promising candidate gene/proteins for development of selection markers and engineering targets to obtain desired traits, in the long term goal of improving PUE in novel cultivars. In Chapter 1, we focused on six genotypes (EP1, F2, F142, F160, SF1, SM1) with close genetic background but several contrasting traits to LP-stress, such as PUE (X., Li, Mang, et al., 2021). They were cultured in pot with either sufficient or inefficient P-fertilizer in a climate chamber for one month. The young seedlings were sampled by root and shoot for analysis of multiple traits, transcriptome and proteome. Firstly, we constructed the co-expression network of proteins and transcripts separately using WGCNA method (Langfelder and Horvath, 2008), which predicted potential protein-protein interactions or their co-regulations. Secondly, we categorized proteins/transcripts to modules according to their different coexpression patterns, thus, identified potential determining relationships of modules-traits. Thirdly, we compared the responses between transcripts and proteins, presenting their responses being concordant or dis-concordant. Fourthly, we identified common and genotype-specific P-starvation response modules and biological processes. Finally, we focused on protein kinases, which play roles as regulators, to demonstrated protein kinases-centered network and validated protein interactions between mitogenactivated protein kinase-kinase 1 (MEK1, Zm00001d043609) either with sucrose synthase1 (SH1,Zm00001d045042) or translation elongation factor 1-gamma 3 (eEF1B-γ, Zm00001d046352). MEK1 is a potential genotype-specific regulator via sucrose metabolism and translation elongation process. In Chapter 2, we aimed to adapted an experimental workflow for phosphoproteome analysis in maize, addressing the interference to phosphoproteome quantification by fibers, secondary metabolites and low abundant of phosphorylated proteins. In this manuscript, we described a rapid and universal protocol for both proteome and phosphoproteome analysis that is suitable for cereal crops. The results of phosphoproteome in maize root testing samples showed that proteins within kinase-centered network in Chapter 1 can be largely quantified based on this workflow. It provides a possible way to analyze phosphorylation dynamics to P-starvation responses, it allows further investigation for kinase-centered 1 network in Chapter 1 to identify phosphorylation pairs of “protein kinase – protein substrate”, which will largely expand a view on P-starvation regulations through posttranslational modifications.