High-throughput phenotyping reveals differential transpiration behaviour within the banana wild relatives highlighting diversity in drought tolerance.

Crop wild relatives, the closely related species of crops, may harbour potentially important sources of new allelic diversity for (a)biotic tolerance or resistance. However, to date, wild diversity is only poorly characterized and evaluated. Banana has a large wild diversity but only a narrow proportion is currently used in breeding programmes. The main objective of this study was to evaluate genotype-dependent transpiration responses in relation to the environment. By applying continuous high-throughput phenotyping, we were able to construct genotype-specific transpiration response models in relation to light, VPD and soil water potential. We characterized and evaluated six (sub)species and discerned four phenotypic clusters. Significant differences were observed in leaf area, cumulative transpiration and transpiration efficiency. We confirmed a general stomatal-driven 'isohydric' drought avoidance behaviour, but discovered genotypic differences in the onset and intensity of stomatal closure. We pinpointed crucial genotype-specific soil water potentials when drought avoidance mechanisms were initiated and when stress kicked in. Differences between (sub)species were dependent on environmental conditions, illustrating the need for high-throughput dynamic phenotyping, modelling and validation. We conclude that the banana wild relatives contain useful drought tolerance traits, emphasising the importance of their conservation and potential for use in breeding programmes.

From fruit growth to ripening in plantain: a careful balance between carbohydrate synthesis and breakdown.

In this study, we aimed to investigate for the first time different fruit development stages in plantain banana in order gain insights into the order of appearance and dominance of specific enzymes and fluxes. We examined fruit development in two plantain banana cultivars during the period between 2-12 weeks after bunch emergence using high-throughput proteomics, quantification of major metabolites, and analyses of metabolic fluxes. Starch synthesis and breakdown are processes that take place simultaneously. During the first 10 weeks fruits accumulated up to 48% of their dry weight as starch, and glucose 6-phosphate and fructose were important precursors. We found a unique amyloplast transporter and hypothesize that it facilitates the import of fructose. We identified an invertase originating from the Musa balbisiana genome that would enable carbon flow back to growth and starch synthesis and maintain a high starch content even during ripening. Enzymes associated with the initiation of ripening were involved in ethylene and auxin metabolism, starch breakdown, pulp softening, and ascorbate biosynthesis. The initiation of ripening was cultivar specific, with faster initiation being particularly linked to the 1-aminocyclopropane-1-carboxylate oxidase and 4-alpha glucanotransferase disproportionating enzymes. Information of this kind is fundamental to determining the optimal time for picking the fruit in order to reduce post-harvest losses, and has potential applications for breeding to improve fruit quality.

The Plantain Proteome, a Focus on Allele Specific Proteins Obtained from Plantain Fruits.

Proteomics has been applied with great potential to elucidate molecular mechanisms in plants. This is especially valid in the case of non-model crops of which their genome has not been sequenced yet, or is not well annotated. Plantains are a kind of cooking bananas that are economically very important in Africa, India, and Latin America. The aim of this work was to characterize the fruit proteome of common dessert bananas and plantains and to identify proteins that are only encoded by the plantain genome. We present the first plantain fruit proteome. All data are available via ProteomeXchange with identifier PXD005589. Using our in-house workflow, we found 37 alleles to be unique for plantain covered by 59 peptides. Although we do not have access (yet) to whole-genome sequencing data from triploid banana cultivars, we show that proteomics is an easily accessible complementary alternative to detect different allele specific SNPs/SAAPs. These unique alleles might contribute toward the differences in the metabolism between dessert bananas and plantains. This dataset will stimulate further analysis by the scientific community, boost plantain research, and facilitate plantain breeding.

The proteome profile of embryogenic cell suspensions of Coffea arabica L.

Somatic embryogenesis, is a process by which new viable embryos are produced from somatic tissues. Somatic embryogenesis is not only a useful biotechnological tool for the massive clonal propagation and genetic engineering but it also allows to obtain fundamental knowledge about the molecular changes that take place during embryogenesis. We present the proteome profile of two embryogenic cell suspensions. We identified 1052 non-redundant proteins. We present their known GO annotations and show two protein networks sharing the GO annotations related to stress and embryogenic capacity via the free program Cytoscape. To our knowledge these results give the first high-throughput proteome description of embryogenic cell suspensions and provide new information about somatic embryos for the whole plant community. The published proteome is a first step toward understanding somatic embryogenesis in coffee and toward a better annotation of proteins in an important non-model crop. All data are available via ProteomeXchange with identifier PXD002963.

Identification of lanthionine and lysinoalanine in heat-treated wheat gliadin and bovine serum albumin using tandem mass spectrometry with higher-energy collisional dissociation.

The present manuscript reports on the identification of various dehydroamino acid-derived bonds and cross-links resulting from thermal treatment (excess water, 240 min, 130 °C) of two model food proteins, bovine serum albumin, and wheat gliadin. S-Carbamidomethylated tryptic and chymotryptic digests of unheated (control) and heated serum albumin and gliadin, respectively, were analyzed by liquid chromatography coupled to tandem mass spectrometry (LC-ESI-MS/MS) with higher-energy collisional dissociation (HCD). Heat-induced ß-elimination of cystine, serine and threonine, and subsequent Michael addition of cysteine and lysine to dehydroalanine and 3-methyl-dehydroalanine were demonstrated. Lanthionine, lysinoalanine, 3-methyl-lanthionine, and 3-methyl-lysinoalanine were identified. The detection of inter-chain lanthionine in both bovine serum albumin and wheat gliadin suggests the significance of these cross-links for food texture.

Influence of pre-harvest calcium, potassium and triazole application on the proteome of apple at harvest.

BACKGROUND: Braeburn browning disorder is a storage disease characterised by flesh browning and lens-shaped cavities. The incidence of this postharvest disorder is known to be affected by pre-harvest application of fertilisers and triazole-based fungicides. Recent work has shown that calcium and potassium reduced the incidence of Braeburn browning disorder, while triazoles had the opposite effect. This study addresses the hypothesis of an early proteomic imprint in the apple fruit at harvest induced by the pre-harvest factors applied. If so, this could be used for an early screening of apple fruit at harvest for their postharvest susceptibility to flesh browning. RESULTS: Calcium and triazole had significant effects, while potassium did not. One hundred and thirty protein families were identified, of which 29 were significantly altered after calcium and 63 after triazole treatment. Up-regulation of important antioxidant enzymes was correlated with calcium fertilisation, while triazole induced alterations in the levels of respiration and ethylene biosynthesis related proteins. CONCLUSION: Pre-harvest fertiliser and fungicide application had considerable effects on the apple proteome at harvest. These changes, together with the applied storage conditions will determine whether or not BBD develops. © 2016 Society of Chemical Industry.

Structure and regulation of the Asr gene family in banana.

Abscisic acid, stress, ripening proteins (ASR) are a family of plant-specific small hydrophilic proteins. Studies in various plant species have highlighted their role in increased resistance to abiotic stress, including drought, but their specific function remains unknown. As a first step toward their potential use in crop improvement, we investigated the structure and regulation of the Asr gene family in Musa species (bananas and plantains). We determined that the Musa Asr gene family contained at least four members, all of which exhibited the typical two exons, one intron structure of Asr genes and the "ABA/WDS" (abscisic acid/water deficit stress) domain characteristic of Asr genes. Phylogenetic analyses determined that the Musa Asr genes were closely related to each other, probably as the product of recent duplication events. For two of the four members, two versions corresponding to the two sub-genomes of Musa, acuminata and balbisiana were identified. Gene expression and protein analyses were performed and Asr expression could be detected in meristem cultures, root, pseudostem, leaf and cormus. In meristem cultures, mAsr1 and mAsr3 were induced by osmotic stress and wounding, while mAsr3 and mAsr4 were induced by exposure to ABA. mASR3 exhibited the most variation both in terms of amino acid sequence and expression pattern, making it the most promising candidate for further functional study and use in crop improvement.

Treatment of missing values for multivariate statistical analysis of gel-based proteomics data.

The presence of missing values in gel-based proteomics data represents a real challenge if an objective statistical analysis is pursued. Different methods to handle missing values were evaluated and their influence is discussed on the selection of important proteins through multivariate techniques. The evaluated methods consisted of directly dealing with them during the multivariate analysis with the nonlinear estimation by iterative partial least squares (NIPALS) algorithm or imputing them by using either k-nearest neighbor or Bayesian principal component analysis (BPCA) before carrying out the multivariate analysis. These techniques were applied to data obtained from gels stained with classical postrunning dyes and from DIGE gels. Before applying the multivariate techniques, the normality and homoscedasticity assumptions on which parametric tests are based on were tested in order to perform a sound statistical analysis. From the three tested methods to handle missing values in our datasets, BPCA imputation of missing values showed to be the most consistent method.

Genotype-Specific Growth and Proteomic Responses of Maize Toward Salt Stress.

Salt stress in plants triggers complex physiological responses that are genotype specific. Many of these responses are either not yet described or not fully understood or both. In this work, we phenotyped three maize genotypes of the CIMMYT gene bank alongside the reference B73 genotype (NCRPIS - United States) under both control and salt-stressed conditions. We have ranked their growth potential and we observed significant differences in Na+ and Cl- ion accumulation. Genotype CML421 showed the slowest growth, while CML451 had the lowest accumulation of ions in its leaves. The phenotyping defined the right timing for the proteomics analysis, allowing us to compare the contrasting genotypes. In general 1,747 proteins were identified, of which 209 were significantly more abundant in response to salt stress. The five most significantly enriched annotations that positively correlated with stress were oxidation reduction, catabolic process, response to chemical stimulus, translational elongation and response to water. We observed a higher abundance of proteins involved in reactions to oxidative stress, dehydration, respiration, and translation. The five most significantly enriched annotations negatively correlated with stress were nucleosome organization, chromatin assembly, protein-DNA complex assembly, DNA packaging and nucleosome assembly. The genotypic analysis revealed 52 proteins that were correlated to the slow-growing genotype CML421. Their annotations point toward cellular dehydration and oxidative stress. Three root proteins correlated to the CML451 genotype were annotated to protein synthesis and ion compartmentalization. In conclusion, our results highlight the importance of the anti-oxidative system for acclimatization to salt stress and identify potential genotypic marker proteins involved in salt-stress responses.

Lyophilization, a practical way to store and transport tissues prior to protein extraction for 2DE analysis?

To date, lyophilized samples are rarely utilized in proteomics experiments. This is most likely because researchers are concerned about inducing cross-linking of proteins via amide bonds, leading to artefactual charge modification and thus resulting in irreproducible results and bad gels. Indeed, it is known that lyophilization can cause crosslinking. The potential reaction is a reaction of free amino groups of a protein (N-terminal alpha-amino groups and epsilon-amino groups from lysine) with the reducing group of sugar molecules. The rate and extent of this reaction depends on the sugar content of the sample, the efficiency of lyophilization process, the residual water content of the material and the storage temperature. Lyophilization is a cheap, practical and safe alternative for the storage and transportation of samples prior to protein extraction, separation and quantification via 2DE, when care is taken (i) to dry the samples to the lowest practicable moisture content, (ii) to transport and store them under water- and airtight conditions and (iii) to avoid heating of the sample.

Somatic Embryogenesis in Coffee: The Evolution of Biotechnology and the Integration of Omics Technologies Offer Great Opportunities.

One of the most important crops cultivated around the world is coffee. There are two main cultivated species, Coffea arabica and C. canephora. Both species are difficult to improve through conventional breeding, taking at least 20 years to produce a new cultivar. Biotechnological tools such as genetic transformation, micropropagation and somatic embryogenesis (SE) have been extensively studied in order to provide practical results for coffee improvement. While genetic transformation got many attention in the past and is booming with the CRISPR technology, micropropagation and SE are still the major bottle neck and urgently need more attention. The methodologies to induce SE and the further development of the embryos are genotype-dependent, what leads to an almost empirical development of specific protocols for each cultivar or clone. This is a serious limitation and excludes a general comprehensive understanding of the process as a whole. The aim of this review is to provide an overview of which achievements and molecular insights have been gained in (coffee) somatic embryogenesis and encourage researchers to invest further in the in vitro technology and combine it with the latest omics techniques (genomics, transcriptomics, proteomics, metabolomics, and phenomics). We conclude that the evolution of biotechnology and the integration of omics technologies offer great opportunities to (i) optimize the production process of SE and the subsequent conversion into rooted plantlets and (ii) to screen for possible somaclonal variation. However, currently the usage of the latest biotechnology did not pass the stage beyond proof of potential and needs to further improve.

Multiple Testing and Pattern Recognition in 2-DE Proteomics.

After separation through two-dimensional gel electrophoresis (2-DE), several hundreds of individual protein abundances can be quantified in a cell population or sample tissue. However, gel-based proteomics has the reputation of being a slow and cumbersome art. But art is not dead! While 2-DE may no longer be the tool of choice in high-throughput differential proteomics, it is still very effective to identify and quantify protein species caused by genetic variations, alternative splicing, and/or PTMs. This chapter reviews some typical statistical exploratory and confirmatory tools available and suggests case-specific guidelines for (1) the discovery of potentially interesting protein spots, and (2) the further characterization of protein families and their possible PTMs.

The Enrichment of Histomonas meleagridis and Its Pathogen-Specific Protein Analysis: A First Step to Shed Light on Its Virulence.

Since the discovery of Histomonas meleagridis in 1893, the necessity of isolating pure H. meleagridis has been highlighted over the years in the battle against histomonosis. Insights into the molecular characteristics of this protozoon open possibilities to proper treatment. Axenization of H. meleagridis in vitro cultures cocultured with bacteria has been unsuccessful. Numerous unsuccessful attempts at culturing H. meleagridis axenically have reinforced the assumption that the protozoa had an obligate relationship with certain bacteria originating from the host ceca. Within these perspectives, we enriched H. meleagridis cells from a mono-eukaryotic culture copropagated with host cecal bacteria by flow cytometry. The enrichment of histomonads was confirmed through transmission electron microscopy and two-dimensional gel electrophoresis. For the first time several protein spots were successfully identified. The majority of spots were annotated as cytoskeletal proteins. Actin microfilaments are known to be a key player in cell spreading, cell adhesion, phagocytosis, signal transduction, and several other processes. Together with the identification of superoxide dismutase, the information generated from protein analysis of H. meleagridis may serve as a very first step toward understanding its pathogenesis and virulence.

Data for the characterization of the HSP70 family during osmotic stress in banana, a non-model crop.

Here, we present the data from an in-depth analysis of the HSP70 family in the non-model banana during osmotic stress [1]. First, a manual curation of HSP70 sequences from the banana genome was performed and updated on the Musa hub http://banana-genome.cirad.fr/. These curated protein sequences were then introduced into our in-house Mascot database for an in-depth look at the HSP70 protein profiles in banana meristem cultures and roots during osmotic stress. A 2D-DIGE LC MS/MS approach was chosen to identify and quantify the different paralogs and allelic variants in the HSP70 spots.

Proteome analysis of orphan plant species, fact or fiction?

Biological research has focused in the past on model organisms and most of the functional genomics studies in the field of plant sciences are still performed on model species or reference species that are characterized to a great extent. However, numerous non-model plants are essential as food, feed, or energy resource. Some features and processes are unique to these plant species or families and cannot be approached via a model plant. The power of all proteomic and transcriptomic methods, i.e., high throughput identification of candidate gene products, tends to be lost in orphan species due to the lack of genomic information, the complexity of the genome (protein inference problem, polyploidy) or due to the sequence divergence to a related sequenced reference variety or to a related model organism. Nevertheless, a proteomics approach has a great potential to study orphan species. This chapter reviews concisely orphan plants from a proteomic angle and provides an outline of the problems encountered when initiating the proteome analysis of a non-model organism. We discuss briefly the problems and solutions for orphan plants associated with sample preparation and focus further on the difficulties associated with protein redundancy in polyploid species and the protein inference issue which is particularly associated with a peptide based proteomics approach.

Improving the identification rate of data independent label-free quantitative proteomics experiments on non-model crops: a case study on apple fruit.

Complex peptide extracts from non-model crops are troublesome for proper identification and quantification. To increase the identification rate of label free DIA experiments of Braeburn apple a new workflow was developed where a DDA database was constructed and linked to the DIA data. At a first level, parent masses found in DIA were searched in the DDA database based on their mass to charge ratio and retention time; at a second level, masses of fragmentation ions were compared for each of the linked spectrum. Following this workflow, a tenfold increase of peptides was identified from a single DIA run. As proof of principle, the designed workflow was applied to determine the changes during a storage experiment, achieving a two-fold identification increase in the number of significant peptides. The corresponding protein families were divided into nine clusters, representing different time profiles of changes in abundances during storage. Up-regulated protein families already show a glimpse of important pathways affecting aging during long-term storage, such as ethylene synthesis, and responses to abiotic stresses and their influence on the central metabolism. BIOLOGICAL SIGNIFICANCE: Proteomics research on non-model crops causes additional difficulties in identifying the peptides present in, often complex, samples. This work proposes a new workflow to retrieve more identifications from a set of quantitative data, based on linking DIA and DDA data at two consecutive levels. As proof of principle, a storage experiment on Braeburn apple resulted in twice as much identified storage related peptides. Important proteins involved in central metabolism and stress are significantly up-regulated after long term storage. This article is part of a Special Issue entitled: Proteomics of non-model organisms.

Screening the banana biodiversity for drought tolerance: can an in vitro growth model and proteomics be used as a tool to discover tolerant varieties and understand homeostasis.

There is a great need for research aimed at understanding drought tolerance, screening for drought tolerant varieties and breeding crops with an improved water use efficiency. Bananas and plantains are a major staple food and export product with a worldwide production of over 135 million tonnes per year. Water however is the most limiting abiotic factor in banana production. A screening of the Musa biodiversity has not yet been performed. We at KU Leuven host the Musa International Germplasm collection with over 1200 accessions. To screen the Musa biodiversity for drought tolerant varieties, we developed a screening test for in vitro plants. Five varieties representing different genomic constitutions in banana (AAAh, AAA, AAB, AABp, and ABB) were selected and subjected to a mild osmotic stress. The ABB variety showed the smallest stress induced growth reduction. To get an insight into the acclimation and the accomplishment of homeostasis, the leaf proteome of this variety was characterized via 2D DIGE. After extraction of the leaf proteome of six control and six stressed plants, 2600 spots could be distinguished. A PCA analysis indicates that control and stressed plants can blindly be classified based on their proteome. One hundred and twelve proteins were significantly more abundant in the stressed plants and 18 proteins were significantly more abundant in control plants (FDR α 0.05). Twenty four differential proteins could be identified. The proteome analysis clearly shows that there is a new balance in the stressed plants and that the respiration, metabolism of ROS and several dehydrogenases involved in NAD/NADH homeostasis play an important role.

Unraveling tobacco BY-2 protein complexes with BN PAGE/LC-MS/MS and clustering methods.

To understand physiological processes, insight into protein complexes is very important. Through a combination of blue native gel electrophoresis and LC-MS/MS, we were able to isolate protein complexes and identify their potential subunits from Nicotiana tabacum cv. Bright Yellow-2. For this purpose, a bioanalytical approach was used that works without a priori knowledge of the interacting proteins. Different clustering methods (e.g., k-means and hierarchical clustering) and a biclustering approach were evaluated according to their ability to group proteins by their migration profile and to correlate the proteins to a specific complex. The biclustering approach was identified as a very powerful tool for the exploration of protein complexes of whole cell lysates since it allows for the promiscuous nature of proteins. Furthermore, it searches for associations between proteins that co-occur frequently throughout the BN gel, which increases the confidence of the putative associations between co-migrating proteins. The statistical significance and biological relevance of the profile clusters were verified using functional gene ontology annotation. The proof of concept for identifying protein complexes by our BN PAGE/LC-MS/MS approach is provided through the analysis of known protein complexes. Both well characterized long-lived protein complexes as well as potential temporary sequential multi-enzyme complexes were characterized.

Banana (Musa spp.) as a model to study the meristem proteome: acclimation to osmotic stress.

Banana (Musa spp.) multiple shoot meristems are an excellent model to study the meristem proteome. Using a 2-DE protocol developed for small amounts of tissue and MS-based cross species polypeptide identification, we have revealed the meristem proteome and investigated the influence of sucrose-mediated osmotic stress in a dehydration-tolerant variety. Proteins that were significantly up- or down-regulated due to the high-sucrose treatment were classified using non-parametric univariate statistics. Our results suggest that the maintenance of an osmoprotective intracellular sucrose concentration, the enhanced expression of particular genes of the energy-conserving glycolysis and the conservation of the cell wall integrity are essential to maintain homeostasis, to acclimate and to survive dehydration. By comparing the dehydration-tolerant variety with a dehydration-sensitive variety, we were able to distinguish several genotype-specific proteins (isoforms), and could associate the dehydration-tolerant variety with proteins involved in energy metabolism (e.g., phosphoglycerate kinase, phosphoglucomutase, UDP-glucose pyrophosphorylase) and proteins that are associated with stress adaptation (e.g., OSR40-like protein, abscisic stress ripening protein-like protein). This work shows that proteome analysis can be used successfully to perform quantitative difference analysis and to characterize genetic variations in a recalcitrant crop.