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Background Sugarcane is the most important sugar crop, contributing > 80% of global sugar production. High sucrose content is a key target of sugarcane breeding, yet sucrose improvement in sugarcane remains extremely slow for decades. Molecular breeding has the potential to break through the genetic bottleneck of sucrose improvement. Dissecting the molecular mechanism(s) and identifying the key genetic elements controlling sucrose accumulation will accelerate sucrose improvement by molecular breeding. In our previous work, a proteomics dataset based on 12 independent samples from high- and low-sugar genotypes treated with ethephon or water was established. However, in that study, employing conventional analysis, only 25 proteins involved in sugar metabolism were identified . Results In this work, the proteomics dataset used in our previous study was reanalyzed by three different statistical approaches, which include a logistic marginal regression, a penalized multiple logistic regression named Elastic net, as well as a Bayesian multiple logistic regression method named Stochastic search variable selection (SSVS) to identify more sugar metabolism-associated proteins. A total of 507 differentially abundant proteins (DAPs) were identified from this dataset, with 5 of them were validated by western blot. Among the DAPs, 49 proteins were found to participate in sugar metabolism-related processes including photosynthesis, carbon fixation as well as carbon, amino sugar, nucleotide sugar, starch and sucrose metabolism. Based on our studies, a putative network of key proteins regulating sucrose accumulation in sugarcane is proposed, with glucose-6-phosphate isomerase, 2-phospho-D-glycerate hydrolyase, malate dehydrogenase and phospho-glycerate kinase, as hub proteins. Conclusions The sugar metabolism-related proteins identified in this work are potential candidates for sucrose improvement by molecular breeding. Further, this work provides an alternative solution for omics data processing.

Background Calcineurin B-like proteins (CBLs) are major Ca2+ sensors that interact with CBL-interacting protein kinases (CIPKs) to regulate growth and development in plants. The CBL-CIPK network is involved in stress response, yet little is understood on how CBL-CIPK function in pepper (Capsicum annuum L.), a staple vegetable crop that is threatened by biotic and abiotic stressors. Results In the present study, nine CaCBL and 26 CaCIPK genes were identified in pepper and the genes were named based on their chromosomal order. Phylogenetic and structural analysis revealed that CaCBL and CaCIPK genes clustered in four and five groups, respectively. Quantitative real-time PCR (qRT-PCR) assays showed that CaCBL and CaCIPK genes were constitutively expressed in different tissues, and their expression patterns were altered when the plant was exposed to Phytophthora capsici, salt and osmotic stress. CaCIPK1 expression changed in response to stress, including exposure to P. capsici, NaCl, mannitol, salicylic acid (SA), methyl jasmonate (MeJA), abscisic acid (ABA), ethylene (ETH), cold and heat stress. Knocking down CaCIPK1 expression increased the susceptibility of pepper to P. capsici, reduced root activity, and altered the expression of defense related genes. Transient overexpression of CaCIPK1 enhanced H2O2 accumulation, cell death, and expression of genes involved in defense. Conclusions Nine CaCBL and 26 CaCIPK genes were identified in the pepper genome, and the expression of most CaCBL and CaCIPK genes were altered when the plant was exposed to stress. In particular, we found that CaCIPK1 is mediates the pepper plant’s defense against P. capsici. These results provide the groundwork for further functional characterization of CaCBL and CaCIPK genes in pepper.