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Biomedical subjects

Michel Zivy

Publications and source records attributed to Michel Zivy.

14 recordsLinked to original sources

Total protein extraction with TCA-acetone.

We describe a procedure allowing extraction of total proteins that performs efficiently with a large variety of plant tissues, based on simultaneous precipitation and denaturation with TCA and 2ME in cold acetone. We also describe protein solubilization prior to IEF, either in classical rod gels or in IPGs, using two different solutions. The procedure is easy to carry out. The major caveats are (1) keep samples at low temperature during extraction, and then (2) manage protein samples at about 22 to 25 degrees C to avoid urea precipitation.

Acetone↗

Quantitative analysis of 2D gels.

The use of 2D electrophoresis for comparative proteomics allows the revelation of variations of protein relative amounts according to various physiological or genetic criteria. The statistical significance of these results is related to different factors, from the experimental design to the statistical tests. In this chapter we describe different parameters that should be taken into account in the experimental design and during image acquisition, and we present different programs for the normalization of quantitative data, the selection of reproducible spots according to user-defined criteria, and the selection of spots showing qualitative and significant quantitative variations.

Algorithms↗

The PROTICdb database for 2-DE proteomics.

PROTICdb is a web-based database mainly designed to store and analyze plant proteome data obtained by 2D polyacrylamide gel electrophoresis (2D PAGE) and mass spectrometry (MS). The goals of PROTICdb are (1) to store, track, and query information related to proteomic experiments, i.e., from tissue sampling to protein identification and quantitative measurements; and (2) to integrate information from the user's own expertise and other sources into a knowledge base, used to support data interpretation (e.g., for the determination of allelic variants or products of posttranslational modifications). Data insertion into the relational database of PROTICdb is achieved either by uploading outputs from Mélanie, PDQuest, IM2d, ImageMaster(tm) 2D Platinum v5.0, Progenesis, Sequest, MS-Fit, and Mascot software, or by filling in web forms (experimental design and methods). 2D PAGE-annotated maps can be displayed, queried, and compared through the GelBrowser. Quantitative data can be easily exported in a tabulated format for statistical analyses with any third-party software. PROTICdb is based on the Oracle or the PostgreSQLDataBase Management System (DBMS) and is freely available upon request at http://cms.moulon.inra.fr/content/view/14/44/.

Databases, Protein↗

Two cytosolic glutamine synthetase isoforms of maize are specifically involved in the control of grain production.

The roles of two cytosolic maize glutamine synthetase isoenzymes (GS1), products of the Gln1-3 and Gln1-4 genes, were investigated by examining the impact of knockout mutations on kernel yield. In the gln1-3 and gln1-4 single mutants and the gln1-3 gln1-4 double mutant, GS mRNA expression was impaired, resulting in reduced GS1 protein and activity. The gln1-4 phenotype displayed reduced kernel size and gln1-3 reduced kernel number, with both phenotypes displayed in gln1-3 gln1-4. However, at maturity, shoot biomass production was not modified in either the single mutants or double mutants, suggesting a specific impact on grain production in both mutants. Asn increased in the leaves of the mutants during grain filling, indicating that it probably accumulates to circumvent ammonium buildup resulting from lower GS1 activity. Phloem sap analysis revealed that unlike Gln, Asn is not efficiently transported to developing kernels, apparently causing reduced kernel production. When Gln1-3 was overexpressed constitutively in leaves, kernel number increased by 30%, providing further evidence that GS1-3 plays a major role in kernel yield. Cytoimmunochemistry and in situ hybridization revealed that GS1-3 is present in mesophyll cells, whereas GS1-4 is specifically localized in the bundle sheath cells. The two GS1 isoenzymes play nonredundant roles with respect to their tissue-specific localization.

Amino Acid Sequence↗

Lipid particle composition of the yeast Yarrowia lipolytica depends on the carbon source.

Lipid particles (LP) of all types of cells are a depot of neutral lipids. The present investigation deals with the isolation of LP from the yeast Yarrowia lipolytica and the characterization of their lipid and protein composition. Properties of LP varied depending on the carbon source. LP from glucose-grown cells revealed a mean diameter of 650 nm with a hydrophobic core mainly formed of triacylglycerols (TAG) and a minor amount of steryl esters (SE). Oleic acid was the major fatty acid species esterified in LP. When cells were grown on oleic acid, LP size increased 3.8-fold, the particles exhibited a significantly lower ratio of TAG to SE, and the relative amount of oleic acid in LP lipids increased compared to cells grown on glucose. Analysis of LP proteins revealed an increasing number of polypeptides when cells were shifted from glucose- to oleic acid-containing medium. Twenty-one major LP proteins were identified under both growth conditions, and additional nine polypeptides were specific for growth on oleic acid. Identification of these proteins by MS and comparison of the deduced ORFs to those from Saccharomyces cerevisiae revealed that most proteins of Y. lipolytica LP are involved in lipid metabolism. LP proteins specific for growth on oleic acid are also enzymes involved in lipid metabolism, but some of them are also components of the intracellular traffic machinery. Thus, proteom analysis of LP proteins suggests involvement of this compartment in different cell biological processes.

Carbon↗

A mass spectrometric approach to identify arbuscular mycorrhiza-related proteins in root plasma membrane fractions.

One of the most important morphological changes occurring in arbuscular mycorrhizal (AM) roots takes place when the plant plasma membrane (PM) invaginates around the fungal arbuscular structures resulting in the periarbuscular membrane formation. To investigate whether AM symbiosis-specific proteins accumulate at this stage, two complementary MS approaches targeting the root PM from the model legume Medicago truncatula were designed. Membrane extracts were first enriched in PM using a discontinuous sucrose gradient method. The resulting PM fractions were further analysed with (i) an automated 2-D LC-MS/MS using a strong cation exchange and RP chromatography, and (ii) SDS-PAGE combined with a systematic LC-MS/MS analysis. Seventy-eight proteins, including hydrophobic ones, were reproducibly identified in the PM fraction from non-inoculated roots, representing the first survey of the M. truncatula root PM proteome. Comparison between non-inoculated and Glomus intraradices-inoculated roots revealed two proteins that differed in the mycorrhizal root PM fraction. They corresponded to an H(+)-ATPase (Mtha1) and a predicted glycosylphosphatidylinositol-anchored blue copper-binding protein (MtBcp1), both potentially located on the periarbuscular membrane. The exact role of MtBcp1 in AM symbiosis remains to be investigated.

Amino Acid Sequence↗

Proteomic analysis of different mutant genotypes of Arabidopsis led to the identification of 11 proteins correlating with adventitious root development.

A lack of competence to form adventitious roots by cuttings or explants in vitro occurs routinely and is an obstacle for the clonal propagation and rapid fixation of elite genotypes. Adventitious rooting is known to be a quantitative genetic trait. We performed a proteomic analysis of Arabidopsis (Arabidopsis thaliana) mutants affected in their ability to develop adventitious roots in order to identify associated molecular markers that could be used to select genotypes for their rooting ability and/or to get further insight into the molecular mechanisms controlling adventitious rooting. Comparison of two-dimensional gel electrophoresis protein profiles resulted in the identification of 11 proteins whose abundance could be either positively or negatively correlated with endogenous auxin content, the number of adventitious root primordia, and/or the number of mature adventitious roots. One protein was negatively correlated only to the number of root primordia and two were negatively correlated to the number of mature adventitious roots. Two putative chaperone proteins were positively correlated only to the number of primordia, and, interestingly, three auxin-inducible GH3-like proteins were positively correlated with the number of mature adventitious roots. The others were correlated with more than one parameter. The 11 proteins are predicted to be involved in different biological processes, including the regulation of auxin homeostasis and light-associated metabolic pathways. The results identify regulatory pathways associated with adventitious root formation and represent valuable markers that might be used for the future identification of genotypes with better rooting abilities.

Adaptation, Physiological↗

Maize cystatins respond to developmental cues, cold stress and drought.

Comprehensive searches of maize EST data allowed us to identify 8 novel Corn Cystatin (CC) genes in addition to the previously known genes CCI and CCII. The deduced amino acid sequences of all 10 genes contain the typical cystatin family signature. In addition, they show an extended overall similarity with cystatins from other species that belong to several different phyto-cystatin subfamilies. To gain further insight into their respective roles in the maize plant, gene-specific expression profiles were established by semi-quantitative RT-PCR. While 7 CC genes were expressed in two or more tissues varying from gene to gene, CCI was preferentially expressed in immature tassels and CC8 and CC10 in developing kernels. As shown by in situ hybridisation of maize kernels, CC8 was specifically expressed in the basal region of the endosperm and CC10 both in the starchy endosperm and the scutellum of the embryo. The remaining, not kernel-specific genes, all had distinct expression kinetics during kernel development, generally with peaks during the early stages. In addition to developmental regulation, the effect of cold stress and water starvation were tested on cystatin expression. Two genes (CC8 and CC9) were induced by cold stress and 5 genes (CCII, CC3, CC4, CC5 and CC9) were down-regulated in response to water starvation. Taken together our data suggest distinct functions for CC genes in the maize plant.

Amino Acid Sequence↗

Water deficits affect caffeate O-methyltransferase, lignification, and related enzymes in maize leaves. A proteomic investigation.

Drought is a major abiotic stress affecting all levels of plant organization and, in particular, leaf elongation. Several experiments were designed to study the effect of water deficits on maize (Zea mays) leaves at the protein level by taking into account the reduction of leaf elongation. Proteomic analyses of growing maize leaves allowed us to show that two isoforms of caffeic acid/5-hydroxyferulic 3-O-methyltransferase (COMT) accumulated mostly at 10 to 20 cm from the leaf point of insertion and that drought resulted in a shift of this region of maximal accumulation toward basal regions. We showed that this shift was due to the combined effect of reductions in growth and in total amounts of COMT. Several other enzymes involved in lignin and/or flavonoid synthesis (caffeoyl-CoA 3-O-methyltransferase, phenylalanine ammonia lyase, methylenetetrahydrofolate reductase, and several isoforms of S-adenosyl-l-methionine synthase and methionine synthase) were highly correlated with COMT, reinforcing the hypothesis that the zone of maximal accumulation corresponds to a zone of lignification. According to the accumulation profiles of the enzymes, lignification increases in leaves of control plants when their growth decreases before reaching their final size. Lignin levels analyzed by thioacidolysis confirmed that lignin is synthesized in the region where we observed the maximal accumulation of these enzymes. Consistent with the levels of these enzymes, we found that the lignin level was lower in leaves of plants subjected to water deficit than in those of well-watered plants.

Gene Expression Regulation, Enzymologic↗

PROTICdb: a web-based application to store, track, query, and compare plant proteome data.

PROTICdb is a web-based application, mainly designed to store and analyze plant proteome data obtained by two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) and mass spectrometry (MS). The purposes of PROTICdb are (i) to store, track, and query information related to proteomic experiments, i.e., from tissue sampling to protein identification and quantitative measurements, and (ii) to integrate information from the user's own expertise and other sources into a knowledge base, used to support data interpretation (e.g., for the determination of allelic variants or products of post-translational modifications). Data insertion into the relational database of PROTICdb is achieved either by uploading outputs of image analysis and MS identification software, or by filling web forms. 2-D PAGE annotated maps can be displayed, queried, and compared through a graphical interface. Links to external databases are also available. Quantitative data can be easily exported in a tabulated format for statistical analyses. PROTICdb is based on the Oracle or the PostgreSQL Database Management System and is freely available upon request at the following URL: http://moulon.inra.fr/ bioinfo/PROTICdb.

Computer Graphics↗

Deciphering genetic variations of proteome responses to water deficit in maize leaves.

The proteome of the basal part of growing Zea mays leaves was analyzed from 4 to 14 d after stopping watering and in well watered controls. The relative quantity of 46 proteins was found to increase in leaves of plants submitted to water deficit. Different types of responses were observed, some proteins showing a constant increase during water deficit, while others showed stabilization after a first increase or a transient increase. Isoforms encoded by the same gene showed different responses. The response to water deficit showed genetic variation. Some increased proteins were induced specifically in one of the two studied genotypes (e.g. ASR1) while others were significantly induced in both genotypes but to a different level or with different kinetics. Analyses of relations between protein quantities, relative water content (RWC) and abscisic acid (ABA) concentration allowed us to show that the quantitative variation of some proteins (e.g. ABA45 and OSR40 proteins) was linked to differences in ABA accumulation between the genotypes. Other proteins showed genetic variations that were not related to differences in water status or ABA concentration (e.g. a cystatin). Data obtained from these experiments, together with data from other experiments, contribute to the characterization of maize proteome response to drought in different conditions and in different genotypes. This characterization allows the search for candidate proteins, i.e. for protein whose genetic variation of expression could be partly responsible for the variability of plant responses to drought.

Dehydration↗

A two-dimensional proteome map of maize endosperm.

We have established a proteome reference map for maize (Zea mays L.) endosperm by means of two-dimensional gel electrophoresis and protein identification with LC-MS/MS analysis. This investigation focussed on proteins in major spots in a 4-7 pI range and 10-100 kDa M(r) range. Among the 632 protein spots processed, 496 were identified by matching against the NCBInr and ZMtuc-tus databases (using the SEQUEST software). Forty-two per cent of the proteins were identified against maize sequences, 23% against rice sequences and 21% against Arabidopsis sequences. Identified proteins were not only cytoplasmic but also nuclear, mitochondrial or amyloplastic. Metabolic processes, protein destination, protein synthesis, cell rescue, defense, cell death and ageing are the most abundant functional categories, comprising almost half of the 632 proteins analyzed in our study. This proteome map constitutes a powerful tool for physiological studies and is the first step for investigating the maize endosperm development.

Electrophoresis, Gel, Two-Dimensional↗

Protein composition of oil bodies in Arabidopsis thaliana ecotype WS.

Till now, only scattered data are available in the literature, which describes the protein content of plant oil bodies. Especially, the proteins closely associated with the model plant Arabidopsis thaliana oil bodies have never been previously purified and characterized. Oil bodies have been purified using flotation techniques, combined with incubations under high salt concentration, in the presence of detergents and urea in order to remove non-specifically trapped proteins. The identity and integrity of the oil bodies have been characterized. Oil bodies exhibited hydrodynamic diameters close to 2.6 microm, and a ratio fatty acid-protein content near 20. The proteins composing these organelles were extracted, separated by SDS-PAGE, digested by trypsin, and their peptides were subsequently analyzed by nano-chromatography-mass spectrometry (nano-LC-MS/MS). This led to the identification of a limited number of proteins: four different oleosins, ATS1, a protein homologous to calcium binding protein, a 11-beta-hydroxysteroid dehydrogenase-like protein, a probable aquaporin and a glycosylphosphatidylinositol-anchored protein with no known function. The two last proteins were till now never identified in plant oil bodies. Structural proteins (oleosins) represented up to 79% of oil body proteins and the 18.5 kDa oleosin was the most abundant among them.

Arabidopsis↗

Combining proteomic and genetic studies in plants.

Plant proteomics is still in its infancy, although numerous experiments have been undertaken since the end of the 1970s. In this review we focus on the interactions between proteomics and genetics. A given genome can express various proteomes according to differentiation, development, tissues, cells and subcellular compartments, and proteomes are modified in function of biotic and abiotic environment. These different proteomes and the way they respond to environment can be compared between genotypes, allowing the characterization of mutants or lines, the study of mutation pleiotropic effects, the genetic mapping of expressed genes. These comparisons also permit to hypothesize for "candidate proteins" that might be involved in the genetic variation of traits of economic or agronomic interest.

Electrophoresis, Gel, Two-Dimensional↗