Niche-driven evolution of metabolic and life-history strategies in natural and domesticated populations of Saccharomyces cerevisiae

Background  

Variation of resource supply is one of the key factors that drive the evolution of life-history strategies, and hence the interactions between individuals. In the yeast Saccharomyces cerevisiae, two life-history strategies related to different resource utilization have been previously described in strains from different industrial origins. In this work, we analyzed metabolic traits and life-history strategies in a broader collection of yeast strains sampled in various ecological niches (forest, human body, fruits, laboratory and industrial environments).     

Data integration uncovers the metabolic bases of phenotypic variation in yeast

The relationship between different levels of integration is a key feature for understanding the genotype-phenotype map. Here, we describe a novel method of integrated data analysis that incorporates protein abundance data into constraint-based modeling to elucidate the biological mechanisms underlying phenotypic variation. Specifically, we studied yeast genetic diversity at three levels of phenotypic complexity in a population of yeast obtained by pairwise crosses of eleven strains belonging to two species, Saccharomyces cerevisiae and S. uvarum. The data included protein abundances, integrated traits (life-history/fermentation) and computational estimates of metabolic fluxes. Results highlighted that the negative correlation between production traits such as population carrying capacity (K) and traits associated with growth and fermentation rates (J_max) is explained by a differential usage of energy production pathways: a high K was associated with high TCA fluxes, while a high J_max was associated with high glycolytic fluxes. Enrichment analysis of protein sets confirmed our results.This powerful approach allowed us to identify the molecular and metabolic bases of integrated trait variation, and therefore has a broad applicability domain.     

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.     

Assessment of pleiotropic effects of a gene substitution in pea by two-dimensional polyacrylamide gel electrophoresis

We examined, by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE), near-isogenic lines of the r-gene in pea (Pisum sativum) which determines round (RR) vs. wrinkled (rr) seed. The study was undertaken to assess the number of protein changes resulting from a single gene substitution as a means of quantifying pleiotropic effects. A total of 636 to 770 resolvable polypeptides were identical in all respects between RR and rr for roots, shoots, leaflets, stipules, young ovaries, and young embryos. A single difference between the lines became evident about 21-23 days after anthesis in the embryos. Mature seeds of the two lines showed 62 spot differences in addition to differences in four clusters of spots, representing about 10% of the total number of spots visible on the gels. The protein differences are presumably involved in the many known physiological differences of the two seed types. 2-D PAGE analyses of near-isogenic lines are likely to be valuable in a number of quantitative and developmental genetic contexts.     

Biochemical and genetic properties of oligomeric structures: a general approach

The oligomers constituted by association of different subunits can exist under multiple forms. In the case of the genetically variable proteins, such a multiplicity leads to numerous questions (i) on the enumerations: what is the number of active forms when a given subunit can make the oligomer inactive, or when the subunits are encoded by s alleles; (ii) on the subunit effects on biochemical properties: how to estimate these effects, are they equal, are there interactions between subunits, etc. Theoretical methods for the study of such oligomeric structures are developed, which mainly rely on linear model techniques. Peculiar properties examined are Vmax and Km, but also the quantities of the various oligomers, which depend on their association law. This approach is extended to the oligomers composed of different sets of subunits, as are for example some enzymes. These aspects are discussed from numerous bibliographic examples, with special reference to molecular interactions (protein complementation or molecular heterosis). Otherwise the genetic application of this theoretical approach is presented: it is possible to consider a genotype as an oligomer of alleles, and thus to study their effects and their interactions, in the one-locus case as well as in the several-loci case. The relevance of this generalization is discussed in connection with two other concepts, the "sequence space" used in molecular evolution and the regression of the genotypic values on the number of alleles used in quantitative genetics.     

La glutamate déshydrogénase au cours de la gamétogénèse mâle chez Medicago sativa

Glutamate dehydrogenase during male gametogenesis in Medicago sativa.
The multiple forms of the alfalfa ( Medicago sativa L.) glutamate dehydrogenase (GDH; EC 1.4.1.2–4) are much more numerous in the pollen than in other organs, and in particular in the floral parts. The appearance of the pollen-specific GDH pattern during male gametogenesis has been followed using electrophoretic, cytological and immunochemical techniques. After the tetrad stage the uninucleate microspore has no glutamate dehydrogenase activity. This activity appears only in the mitochondria of the binucleate young pollen. At this stage the electrophoretic pattern displays a faint intensity, but is already identical to that of mature pollen. On the other hand, the use of monospecific antibodies has revealed the presence of antigen in the microspore, and in the young pollen there is as much antigen as in the mature pollen. Therefore the synthesis of GDH precedes its activation, which follows the first pollen mitosis.     

An investigation of ethanol inhibition and other limitations occurring during the fermentation of concentrated whey permeate byKluyveromyces fragilis

Based on the well-known fact thatKluyveromyces fragilis strains show sub-optimal performance when grown in concentrated whey permeate, previously optimized medium was investigated for possible limitations appearing at high concentrations. Shaken flask cultures showed that no additional vitamin or mineral sources were required when the optimized amount of yeast extract was added to the concentrated permeate. Several aspects of the ethanol inhibition of the growth ofK. fragilis NRRL 665 were investigated in continuous culture. The maximum ethanol concentration tolerated by this yeast, i.e. 45 g/l, was much lower than commonly reported for other strains. Ethanol and biomass production were also influenced by the increased ethanol concentration of the medium. At 31 g/l of alcohol product yield was reduced to 0.23 g/g whereas biomass yield was 0.05 g/g. Some evidence suggested that residence time and residual lactose concentration played a significant role in modulating the toxic effect of ethanol.     

Genetic dissection of the relationship between carbon metabolism and early growth in maize,with emphasis on key-enzyme loci

The determinism of carbon metabolism traits during early growth in maize has been investigated using a marker-based quantitative genetics approach. In addition to growth traits, concentration of carbohydrates and activity of four key enzymes of their metabolism (sucrose phosphate synthase, ADP-glucose pyrophosphorylase, invertases and sucrose synthase) have been measured in leaves of individuals of a recombinant inbred line population. Using more than 100 RFLP markers, quantitative trait loci (QTLs) were mapped for each biochemical and developmental trait. Causal relationships, suggested by previous physiological studies, were reinforced by common locations of QTLs for different traits. Thus, the strong correlation between growth rate and invertase activity, which may reflect sink organ strength, could be explained to a large extent by a single region of chromosome 8. Moreover, some of the structural genes of the enzymes mapped to regions with QTLs affecting the activity of the encoded enzyme and/or concentration of its product, and sometimes growth traits. These results emphasize the possible role of the polymorphism of key-enzyme genes in physiological processes, and hence in maize growth.     

Dissecting complex physiological functions through the use of molecular quantitative genetics

Testing possible associations between physiological and biochemicaltraits by comparing plant phenotypes and looking for correlationsbetween them is unreliable. The development of molecular markertechnologies offers powerful alternative methods to examinethe relationships between traits. This review describes thegenetical methods required to analyse possible associationsbetween traits that are inherited in a quantitative manner usingquantitative trait locus (QTL) analysis. The regulation of carbohydratemetabolism is chosen as an example of how QTL analysis can beused to identify key control factors in a series of processes,by identifying possible candidate genes for QTL effects on sucroseand starch metabolism. Methods are also described to study theassociation between physiological traits such as abscislc acidconcentrations and stomata1 conductance. Advantages and somelimitations of QTL analysis over other methods currently inuse by physiologists to test associations between traits arediscussed. Key words: Candidate genes, genetic maps, molecular markers, quantitative trait locus (QTL) analysis, physiological traits