Biomedical subjects

M Zivy

Publications and source records attributed to M Zivy.

13 recordsLinked to original sources

PubMed2002

Improvement of drought tolerance in maize: towards the functional validation of the Zm-Asr1 gene and increase of water use efficiency by over-expressing C4-PEPC.

Water availability is one of the major limiting factors for plant growth. Maize is particularly sensitive to water stress at reproductive stages with a strong impairment of photosynthesis and grain filling. Here, we describe the use of genetic transformation first to assess the role of a candidate gene Asr1-a putative transcription factor-as an explanation for genetically linked drought tolerance Quantitative Trait Loci (QTLs), and second to modify CO(2) fixation rates in leaves through changes of C(4) phosphoenolpyruvate carboxylase (C(4)-PEPC) activity. Transgenic Asr1 over-expressing lines show an increase in foliar senescence under drought conditions. The highest C(4)-PEPC overexpressing line exhibited an increase (+30%) in intrinsic water use efficiency (WUE) accompanied by a dry weight increase (+20%) under moderate drought conditions. Opposite effects were observed for transgenic plants under-expressing the corresponding proteins. The data presented here indicate the feasibility to increase the level of endogenous biochemical activities related to water economy and/or drought tolerance, and opens a way to develop maize varieties more tolerant to dry growing conditions.

Acclimatization↗

PubMed2001

Comparative proteomics to establish genetic relationships in the Brassicaceae family.

The comparisons of the same proteome (aerial part of etiolated seedlings) in different species and genus of the plant family Brassicaceae (cabbages, mustards, rapes, radishes and Arabidopsis) was undertaken to establish genetic proximities between them. Genetic distances were calculated on the basis of common and distinct spots. The construction of phenetic trees and factorial correspondence analysis that were performed are in very good agreement with our actual knowledge of the taxonomy of the Brassicaceae. The position of the tetraploids, for instance, is in between the positions of their constitutive genome donor representatives. Comparative proteomics may be helpful to shorten the transfer between model and agronomic target species.

Brassicaceae↗

PubMed2000

Proteomics: a link between genomics, genetics and physiology.

Thanks to spectacular advances in the techniques for identifying proteins separated by two-dimensional electrophoresis and in methods for large-scale analysis of proteome variations, proteomics is becoming an essential methodology in various fields of plant biology. In the study of pleiotropic effects of mutants and in the analysis of responses to hormones and to environmental changes, the identification of involved metabolic pathways can be deduced from the function of affected proteins. In molecular quantitative genetics, proteomics can be used to map translated genes and loci controlling their expression, which can be used to identify proteins accounting for the variation of complex phenotypic traits. Linking gene expression to cell metabolism on the one hand and to genetic maps on the other, proteomics is a central tool for functional genomics.

Genomics↗

PubMed1999

Proteomics for genetic and physiological studies in plants.

Proteomics is becoming a necessity in plant biology, as it is in medicine, zoology and microbiology, for deciphering the function and role of the genes that are or will be sequenced. In this review we focus on the various, mainly genetic, applications of the proteomic tools that have been developed in recent years: characterization of individuals or lines, estimation of genetic variability within and between populations, establishment of genetic distances that can be used in phylogenetic studies, characterization of mutants and localization of the genes encoding the revealed proteins. Improvements in specifically devoted software have permitted precise quantification of the variation in amounts of proteins, leading to the concept of "protein quantity loci" which, combined with the "quantitative trait loci" approach, results in testable hypotheses regarding the role of "candidate proteins" in the metabolism or phenotype under study. This new development is exemplified by the reaction of plants to drought, a trait of major agronomic interest. The accumulation of data regarding genomic and cDNA sequencing will be connected to the protein databases currently developed in plants.

Chromosome Mapping↗

PubMed1998

Protein changes in response to progressive water deficit in maize . Quantitative variation and polypeptide identification

Three-week-old plants of two unrelated lines of maize (Zea mays L.) and their hybrid were submitted to progressive water stress for 10 d. Changes induced in leaf proteins were studied by two-dimensional electrophoresis and quantitatively analyzed using image analysis. Seventy-eight proteins out of a total of 413 showed a significant quantitative variation (increase or decrease), with 38 of them exhibiting a different expression in the two genotypes. Eleven proteins that increased by a factor of 1.3 to 5 in stressed plants and 8 proteins detected only in stressed plants were selected for internal amino acid microsequencing, and by similarity search 16 were found to be closely related to previously reported proteins. In addition to proteins already known to be involved in the response to water stress (e.g. RAB17 [Responsive to ABA]), several enzymes involved in basic metabolic cellular pathways such as glycolysis and the Krebs cycle (e.g. enolase and triose phosphate isomerase) were identified, as well as several others, including caffeate O-methyltransferase, the induction of which could be related to lignification.

Journal Article↗

PubMed1997

Potential of two-dimensional electrophoresis in routine identification of closely related durum wheat lines.

Four closely related durum wheat varieties were compared by computer-assisted analysis of two-dimensional electrophoretic maps of leaf proteins. A low inter-varietal polymorphism was revealed and seven reliable qualitatively varying proteins allowed rapid visual identification of genotypes. For numerous spots, presence/absence or quantitative variations were greatly affected by a batch effect. Several criteria that should be used to discard unreliable spots or gels a priori were reviewed. Nevertheless, it was shown that, provided that the experimental design allows the integration of the batch effect, screening for discriminant markers as well as computing distances based on protein quantity variations are possible and allow variety identification. Euclidean and Mahalanobis distances allowed variety discrimination and single gel classification with a minimum risk of error, not only by taking into account the quantitative variations in discriminant proteins selected by analysis of variance, but also by taking into account all reproducible spots. The possible applications of two-dimensional electrophoresis in variety identification are discussed.

Autoanalysis↗

PubMed1996

Amino acid analysis of proteins separated by two-dimensional electrophoresis in maize: isoform detection and function identification.

The possibility of using experimentally determined amino acid composition to assess relatedness between 75 proteins separated by two-dimensional electrophoresis (2-DE) and to identify them was tested on maize. Two independent parameters, the relative Euclidean distance and the correlation coefficient between the amino acid compositions, were evaluated and used. Previous sequence information for 31 out of the 75 proteins made it possible to evaluate the method for the detection of isoforms and for identification. However, the extension of the interrogation beyond maize to all plant sequences raised the problem of false positives that could nevertheless be limited by replications and by using additional information. The efficiency of the method to assess relatedness between proteins should make amino acid composition analysis a valuable tool in large protein characterization programs based on 2-DE, by facilitating the transfer of information from one well-documented organ/tissue or genotype to another.

Amino Acids↗

PubMed1995

Characterizing allelic proteins for genome mapping in maize.

Mapping cDNA probes in order to construct genetic linkage maps is becoming a widespread strategy for genome analysis and gene isolation, particularly in cultivated plant species. Nevertheless, almost all cDNAs reveal two or more unlinked loci, making it difficult to identify the gene(s) actually expressed. In a highly polymorphic species, such as maize, two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) of proteins may circumvent this limitation. With the analysis of various segregating populations, we previously showed that the apparent position shifts of proteins on the 2-D gels are monogenic and codominant. In this paper we compared allelic proteins on the basis of their high performance liquid chromatography (HPLC) profile and partial amino acid sequences. In a sample of 20 position shifts, the allelic proteins appeared to be similar in all but one case, strongly suggesting that polymorphism of structural genes is involved. Thus 2-D PAGE could prove to be a useful tool for genome mapping: when a cDNA probe detects several loci, a position shift of the encoded protein will allow the identification of the gene translated in the organ considered.

Alleles↗

PubMed1995

Distance indices in a comparison between the A, D, I and R genomes of the Triticeae tribe.

Two-dimensional gel electrophoresis of shoot proteins was used to study the relationships between Triticum, Secale, and Hordeum. A high level of polymorphism was found among the 1275 spots scored: only 198 spots were found common to all. But, under the hypothesis that only allelic variations were observed, the mean number of alleles per locus was only two. Phenograms were built from different distance indices. All of them showed Triticum genomes A and D close to each other, Hordeum far from the Triticum cluster, and Secale at an intermediate position. A discussion on the use of various distance indices is presented.

Chromosome Mapping↗

PubMed1993

Analysis of scaling methods to minimize experimental variations in two-dimensional electrophoresis quantitative data: application to the comparison of maize inbred lines.

The analysis of two-dimensional (2-D) electrophoresis quantitative data from a design involving 21 maize genotypes revealed a significant experimental variation. In order to minimize this variation, we investigated the possible causes and found that it was essentially due to global effects, affecting all the spots in a gel in a similar way, and occurring during the 2-D run/staining procedure. Three scaling methods to discard these experimental variations were analyzed: the linear scaling method, a method based on principal component analysis, and a combined method that unites the advantages of both of the former. Comparing these three methods, we found that they led to consistent results with regard to the factor under study, i.e. the genetic factor in our case. However, the combined scaling method was the most efficient in reducing experimental variations.

Data Interpretation, Statistical↗

PubMed1988

Peptide mapping of polypeptides separated by two-dimensional electrophoresis: protease digestion directly on the two-dimensional gel followed by electrophoresis in reverse direction.

A method is described which allows to reveal simultaneously the proteolytic patterns of numerous polypeptides separated by two-dimensional electrophoresis. After two-dimensional electrophoresis, the gels were dipped successively in buffers for preequilibration, protease digestion, and reequilibration. They were then returned to the electrophoresis tank, and electrophoresis was continued for a short time. After silver staining, digestion products appeared, lined up behind the original polypeptide spots. The method allows proteolytic patterns of numerous polypeptides to be visualized simply and quickly. Among proteins of wheat leaves, 31 groups of related polypeptides were found according to the similarity of their proteolytic patterns.

Electrophoresis, Gel, Two-Dimensional↗

PubMedDate not supplied

Two-dimensional gel electrophoresis of proteins as a tool in wheat genetics.

In this minireview are reported several genetic investigations undertaken on wheat with the use of two-dimensional gel electrophoresis of total proteins extracted mainly from etiolated seedlings or from green leaves. Differences between developmental stages or organs of one genotype and nuclear and cytoplasmic genetic variations between genotypes are revealed by this method. We have also localized on the chromosomes structural genes coding for the proteins revealed and assigned their subcellular location to many polypeptides. We obtained new information concerning the regulation of protein amounts as well as the phylogenetic and homeology relationships between the A, B and D genomes.

Electrophoresis, Polyacrylamide Gel↗

PubMedDate not supplied

QTL analysis of proteome and transcriptome variations for dissecting the genetic architecture of complex traits in maize.

In this review, we present some studies on genetic analysis of proteome and transcriptome variations, which exemplify new strategies for a better understanding of the molecular and genetic bases of complex traits. A large genetic variability was revealed at the proteome expression level, which raised the possibility to predict phenotypical performance on the basis of gene product variability. This approach yielded limited results, but could be re-newed by extensive identification of proteins now allowed by mass spectrometry. The dissection of the genetic basis of the variation of individual protein amounts proves very powerful to select 'candidate' proteins, physiologically relevant for a given phenotypical trait, as shown by a study on the effect of water stress in maize. In order to investigate factors of grain quality in maize, we selected a regulatory locus known to control the expression of several storage protein genes, Opaque-2, and investigated the relationships between variability in zein amount and composition and the molecular polymorphism at this locus. Moreover, a QTL analysis revealed that the variability in Opaque-2 transcript abundance was controlled by several polymorphic trans-acting regulators unlinked to the Opaque-2 structural gene. Such genetic approaches should represent additional tools for physiological analysis of the huge amounts of data generated by transcritome and proteome projects.

DNA-Binding Proteins↗