Search

Chocolate spot, which is caused by the necrotrophic fungus Botrytis fabae, is a major foliar disease occurring worldwide and dramatically reducing crop yields in faba bean (Vicia faba). Although chemical control of this disease is an option, it has serious economic and environmental drawbacks that make resistant cultivars a more sensible choice. The molecular mechanisms behind the defense against B. fabae are poorly understood. In this work, we studied the leave proteome in two faba bean genotypes that respond differently to B. fabae in order to expand the available knowledge on such mechanisms. For this purpose, we used two-dimensional gel electrophoresis (2DE) in combination with Matrix-Assisted Laser Desorption/Ionization (MALDI-TOF/TOF). Univariate statistical analysis of the gels revealed 194 differential protein spots, 102 of which were identified by mass spectrometry. Most of the spots belonged to proteins in the energy and primary metabolism, degradation, redox or response to stress functional groups. The MS results were validated with assays of protease activity in gels. Overall, they suggest that the two genotypes may respond to B. fabae with a different PSII protein repair cycle mechanism in the chloroplast. The differences in resistance to B. fabae may be the result of a metabolic imbalance in the susceptible genotype and of a more efficient chloroplast detoxification system in the resistant genotype at the early stages of infection., This research was funded by Spain’s Agencia Estatal de Investigación (AEI) (Grant PRIMA-DiVicia-PCI2020-111974).

Fusarium circinatum, causing pine pitch canker (PPC), affects conifers productivity and health worldwide. Selection and breeding for resistance arises as the most promising approach to fight PPC. Therefore, it is crucial to explore the response of hosts with varying levels of susceptibility to PPC to unveil the genes/pathways behind these phenotypes. We evaluated the dynamics of the needle proteome of a susceptible (Pinus radiata) and a relatively resistant (Pinus pinea) species upon F. circinatum inoculation by GeLC-MS/MS. Integration with physiological data and validation of key genes by qPCR allowed to identify core pathways regulating these contrasting responses. In P. radiata, the pathogen may target both the secondary metabolism to negatively regulate immune response and chloroplast redox proteins to increase energy-producing pathways for amino acid production in its favour. In contrast, chloroplast redox regulation may assure redox homeostasis in P. pinea, as well as nonenzymatic antioxidants. The presence of membrane trafficking-related proteins exclusively in P. pinea likely explains its defence response against F. circinatum. A crosstalk between abscisic acid and epigenetic regulation of gene expression is also proposed in PPC response. These results are useful to support breeding programs aiming to achieve PPC resistance.

Drought is one of the main causes of mortality in holm oak (Quercus ilex) seedlings used in reforestation programs. Although this species shows high adaptability to the extreme climate conditions prevailing in Southern Spain, its intrinsic genetic variability may play a role in the differential response of some populations and individuals. The aim of this work was to identify proteins and derived proteotypic peptides potentially useful as putative markers for drought tolerance in holm oak by using a targeted post-acquisition proteomics approach. For this purpose, we used a set of proteins identified by shotgun (LC-MSMS) analysis in a drought experiment on Q. ilex seedlings from four different provenances (viz. the Andalusian provinces Granada, Huelva, Cadiz and Seville). A double strategy involving the quantification of proteins and target peptides by shotgun analysis and post-acquisition data analysis based on proteotypic peptides was used. To this end, an initial list of proteotypic peptides from proteins highly represented under drought conditions was compiled that was used in combination with the raw files from the shotgun experiment to quantify the relative abundance of the fragment’s ion peaks with the software Skyline. The most abundant peptides under drought conditions in at least two populations were selected as putative markers of drought tolerance. A total of 30 proteins and 46 derived peptides belonging to the redox, stress-related, synthesis,-folding and degradation, and primary and secondary metabolism functional groups were thus identified. Two proteins (viz., subtilisin and chaperone GrpE protein) were found at increased levels in three populations, which make them especially interesting for validation drought tolerance markers in subsequent experiments. Fil: San Eufrasio, Bonoso. Universidad de Córdoba; España Fil: Bigatton, Ezequiel Darío. Universidad de Córdoba; España. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Recursos Naturales. Cátedra de Microbiología Agrícola; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina Fil: Guerrero Sánchez, Victor M.. Universidad de Córdoba; España Fil: Chaturvedi, Palak. Vienna University of Technology; Austria Fil: Jorrín Novo, Jesús V.. Universidad de Córdoba; España Fil: Rey, María Dolores. Universidad de Córdoba; España Fil: Castillejo Sánchez, María Ángeles. Universidad de Córdoba; España

Quercus ilex is the dominant tree species in natural forest ecosystems across the Mediterranean Basin and in the agrosilvopastoral system dehesa, which has a high ecological and economical significance. As in other forestry species, survival in Q. ilex is threatened by long periods of drought. This paper reports the transcriptome and proteome profiles of 6-month-old seedlings subjected to severe drought conditions. Drought was imposed by water withholding in seedlings grown in perlite for 28 days. Seedling leaves were collected when leaf fluorescence had decreased by 20% and 45% relative to well-watered seedlings. The transcriptome and proteome were analyzed by using Illumina and shotgun platforms. The quality and confidence of the mRNA and protein identifications and quantifications were assessed, obtaining 25,169 transcripts and 3312 proteins. Variable transcripts and proteins were analyzed by Venn diagram, Pearson's correlation, GO enrichment, KEGG pathways, multivariate analysis and interaction networks. Despite the poor correlation between mRNA and protein, both platforms gave a complementary view of the changes in the abundance of several gene products under drought conditions and indicated that gene expression regulation and translation to phenotype is quite complex and gene-specific. As a general tendency, while transcripts and proteins of the metabolism were down-accumulated, those of stress related were up-accumulated. Out of the variable dataset, four gene products (viz., FtSH6, CLPB1, CLPB3, and HSP22) were up-accumulated at both omics levels at the two surveyed times, being the first work where they are described in drought response in forest species. These chaperones and proteases could be considered as potential drought tolerance markers to be used in the selection of elite, resilient genotypes, and in breeding programs.

Gel electrophoresis-based and shotgun approaches are the most employed proteomic platforms in plant biology research, with the latter replacing the former in the last years. We have compared 2-DE-MALDI-TOF/TOF and GeLC-Orbitrap/MS analyses using the same protein extracts from Quercus ilex cotyledons at different development stages. The results obtained (ProteomeXchange available data, PXD020603) showed that both platforms were complementary, showing common and specific proteins identified in each case, but leading to similar biological conclusions. Protein analysis identified 562 spots in gel-based (292 variables) and 2409 proteins in shotgun (560 variables), that were detected with both platforms and represent common key pathways related to maturation and germination. The main differences concern hormone metabolism, storage and late embryogenesis abundant proteins. Deeper proteome coverage was obtained with the shotgun approach, with a greater number of metabolic pathways represented, as gibberellin biosynthesis, not observed in the gel-based analysis. Nevertheless, several storage proteins, highly abundant in cotyledons and well represented in gel-based platform were not identified using the shotgun platform. These results support that when analyzing any plant biological process, the use of both platforms is complementary rather than redundant, that favors an in-depth proteomic analysis and a more confident biological interpretation of the data obtained.

This research was funded by the Ministerio de Economía y Competitividad -Programa Estatal de I+D+i Orientada a los Retos de la Sociedad (AGL2009-12243-C02-02; BIO2015-64737-R)., Rey, M.-D., Castillejo, M.Á., Sánchez-Lucas, R., Guerrero-Sanchez, V.M., López-Hidalgo, C., Romero-Rodríguez, C., Valero-Galván, J., Sghaier-Hammami, B., Simova-Stoilova, L., Echevarría-Zomeño, S., Jorge, I., Gómez-Gálvez, I., Papa, M.E., Carvalho, K., Rodríguez De Francisco, L.E., Maldonado-Alconada, A.M., Valledor, L., Jorrín-Novo, J.V.

Recently, we have developed a quantitative shotgun proteomics strategy called mass accuracy precursor alignment (MAPA). The MAPA algorithm uses high mass accuracy to bin mass-to-charge (m/z) ratios of precursor ions from LC-MS analyses, determines their intensities, and extracts a quantitative sample versus m/z ratio data alignment matrix from a multitude of samples. Here, we introduce a novel feature of this algorithm that allows the extraction and alignment of proteotypic peptide precursor ions or any other target peptide from complex shotgun proteomics data for accurate quantification of unique proteins. This strategy circumvents the problem of confusing the quantification of proteins due to indistinguishable protein isoforms by a typical shotgun proteomics approach. We applied this strategy to a comparison of control and heat-treated tomato pollen grains at two developmental stages, post-meiotic and mature. Pollen is a temperature-sensitive tissue involved in the reproductive cycle of plants and plays a major role in fruit setting and yield. By LC-MS-based shotgun proteomics, we identified more than 2000 proteins in total for all different tissues. By applying the targeted MAPA data-processing strategy, 51 unique proteins were identified as heat-treatment-responsive protein candidates. The potential function of the identified candidates in a specific developmental stage is discussed.

Proteomics analysis has been performed in leaf tissue from field date palm trees showing the brittle leaf disease (BLD) or maladie des feuilles cassantes, the main causal agent of the date palm decline in south Tunisia. To study the evolution of the disease, proteins from healthy and affected leaves taken at three disease stages (S1, S2 and S3) were trichloroacetic acid acetone extracted and subjected to two-dimensional gel electrophoresis (5-8 pH range). Statistical analysis showed that the protein abundance profile is different enough to differentiate the affected leaves from the healthy ones. Fifty-eight variable spots were successfully identified by matrix-assisted laser desorption ionization time of flight, 60 % of which corresponded to chloroplastic ones being involved in the photosynthesis electronic chain and ATP synthesis, metabolic pathways implicated in the balance of the energy, and proteases. Changes in the proteome start at early disease stage (S1), and are greatest at S2. In addition to the degradation of the ribulose-1.5-bisphosphate carboxylase oxygenase in affected leaflets, proteins belonging to the photosynthesis electronic chain and ATP synthesis decreased following the disease, reinforcing the relationship between BLD and manganese deficiency. The manganese-stabilizing proteins 33 kDa, identified in the present work, can be considered as protein biomarkers of the disease, especially at early disease step.

Pinus radiata is one of the most economically important forest tree species, with a worldwide production of around 370 million m (3) of wood per year. Current selection of elite trees to be used in conservation and breeding programes requires the physiological and molecular characterization of available populations. To identify key proteins related to tree growth, productivity and responses to environmental factors, a proteomic approach is being utilized. In this paper, we present the first report of the 2-DE protein reference map of physiologically mature P. radiata needles, as a basis for subsequent differential expression proteomic studies related to growth, development, biomass production and responses to stresses. After TCA/acetone protein extraction of needle tissue, 549 +/- 21 well-resolved spots were detected in Coommassie-stained gels within the 5-8 pH and 10-100 kDa M(r) ranges. The analytical and biological variance determined for 450 spots were of 31 and 42%, respectively. After LC/MS/MS analysis of in-gel tryptic digested spots, proteins were identified by using the novel Paragon algorithm that tolerates amino acid substitution in the first-pass search. It allowed the confident identification of 115 out of the 150 protein spots subjected to MS, quite unusual high percentage for a poor sequence database, as is the case of P. radiata. Proteins were classified into 12 or 18 groups based on their corresponding cell component or biological process/pathway categories, respectively. Carbohydrate metabolism and photosynthetic enzymes predominate in the 2-DE protein profile of P. radiata needles.

Fusarium oxysporum f. sp. pisi (Fop) is an important and destructive pathogen affecting pea crop (Pisum sativum) throughout the world. Control of this disease is achieved mainly by integration of different disease management procedures. However, the constant evolution of the pathogen drives the necessity to broaden the molecular basis of resistance to Fop. Our proteomic study was performed on pea with the aim of identifying proteins involved in different resistance mechanisms operating during F. oxysporum infection. For such purpose, we used a two-dimensional electrophoresis (2-DE) coupled to mass spectrometry (MALDI-TOF/TOF) analysis to study the root proteome of three pea genotypes showing different resistance response to Fop race 2. Multivariate statistical analysis identified 132 differential protein spots under the experimental conditions (genotypes/treatments). All of these protein spots were subjected to mass spectrometry analysis to deduce their possible functions. A total of 53 proteins were identified using a combination of peptide mass fingerprinting (PMF) and MSMS fragmentation. The following main functional categories were assigned to the identified proteins: carbohydrate and energy metabolism, nucleotides and aminoacid metabolism, signal transduction and cellular process, folding and degradation, redox and homeostasis, defense, biosynthetic process and transcription/translation. Results obtained in this work suggest that the most susceptible genotypes have increased levels of enzymes involved in the production of reducing power which could then be used as cofactor for enzymes of the redox reactions. This is in concordance with the fact that a ROS burst occurred in the same genotypes, as well as an increase of PR proteins. Conversely, in the resistant genotype proteins responsible to induce changes in the membrane and cell wall composition related to reinforcement were identified. Results are discussed in terms of the differential response to Fop., The authors acknowledge the Spanish Ministry of Science and Innovation for funding of this work (AGL2011-22524) co-financed by FEDER. Ma Angeles Castillejo was funded by a postdoctoral fellowship from the Spanish Ministry of Education, through the Mobility Program R-D + I 2008–2011.