Yeast genomic databases and the challenge of the post-genomic era

Since the completion of the yeast genome sequence in 1996, three genomic databases, the Saccharomyces Genome Database, the Yeast Proteome Database, and MIPS (produced by the Munich Information Center for Protein Sequences), have organized published knowledge of yeast genes and proteins onto the framework of the genome. Now, post-genomic technologies are producing large-scale datasets of many types, and these pose new challenges for knowledge integration. This review first examines the structure and content of the three genomic databases, and then draws from them and other resources to examine the ways knowledge from the literature, genome, and post-genomic experiments is stored, integrated, and disseminated. To better understand the impact of post-genomic technologies, 20 collections of post-genomic data were analyzed relative to a set of 243 previously uncharacterized genes. The results indicate that post-genomic technologies are providing rich new information for nearly all yeast genes, but data from these experiments is scattered across many Web sites and the results from these experiments are poorly integrated with other forms of yeast knowledge. Goals for the next generation of databases are set forth which could lead to better access to yeast knowledge for yeast researchers and the entire scientific community. Electronic Publication     

Java GUI for InterProScan (JIPS): A tool to help process multiple InterProScans and perform ortholog analysis

Background  

Recent, rapid growth in the quantity of available genomic data has generated many protein sequences that are not yet biochemically classified. Thus, the prediction of biochemical function based on structural motifs is an important task in post-genomic analysis. The InterPro databases are a major resource for protein function information. For optimal results, these databases should be searched at regular intervals, since they are frequently updated.     

Analysing protein-protein interactions with the yeast two-hybrid system

Plant research is moving into the post-genomic era. Proteomic-based strategies are now being developed to study functional aspects of the genes predicted from the various genome-sequencing initiatives. All biological processes depend on interactions formed between proteins and the mapping of such interactions on a global scale is providing interesting functional insights. One of the techniques that has proved itself invaluable in the mapping of protein-protein interactions is the yeast two-hybrid system. This system is a sensitive molecular genetic approach for studying protein-protein interactions in vivo. In this review we will introduce the yeast two-hybrid system, discuss modifications of the system that may be of interest to the plant science community and suggest potential applications of the technology.     

A Single Compartment Quantal Response Model with a Renewal Type Input Process and IID Releases

We deal with a single compartment quantal response model, where unlike the previous models, which do not have any input after the administration of a single dose Z(0)=z at time t=0, we allow inputs of doses after time t=0. More precisely, the system uses the (s, S) input policy as in inventory models, and has IID releases. Also when the amount of dose in the subject reaches 0, there is a probability p to stop having input thereafter. Among other results, the probability that the subject never responds and the expressions for some quantities of interest are obtained.     

Substrate supply for calcite precipitation in Emiliania huxleyi: assessment of different model approaches

Over the last four decades, different hypotheses of Ca²⁺ and dissolved inorganic carbon transport to the intracellular site of calcite precipitation have been put forth for Emiliania huxleyi (Lohmann) Hay & Mohler. The objective of this study was to assess these hypotheses by means of mathematical models. It is shown that a vesicle‐based Ca²⁺ transport would require very high intravesicular Ca²⁺ concentrations, high vesicle fusion frequencies as well as a fast membrane recycling inside the cell. Furthermore, a kinetic model for the calcification compartment is presented that describes the internal chemical environment in terms of carbonate chemistry including calcite precipitation. Substrates for calcite precipitation are transported with different stoichiometries across the compartment membrane. As a result, the carbonate chemistry inside the compartment changes and hence influences the calcification rate. Moreover, the effect of carbonic anhydrase (CA) activity within the compartment is analyzed. One very promising model version is based on a Ca²⁺/H⁺ antiport, CO₂ diffusion, and a CA inside the calcification compartment. Another promising model version is based on an import of Ca²⁺ and HCO₃^? and an export of H⁺.     

Compartments in the wing of Drosophila: A study of the engrailed gene

It has recently been suggested that the wildtype alleles of homeotic genes are responsible for controlling the development of compartments. Because the mutation engrailed gives the posterior wing compartment anterior characteristics, it can be regarded as such a homeotic gene. Our experiments confirm the role of the engrailed gene in development of the posterior wing compartment, results which strongly support and extend the compartment hypothesis.Clonal analysis reveals that the state of the engrailed gene is immaterial to the entire anterior compartment, and crucial to the normal development of the posterior compartment, where it controls the pattern of veins and bristles. The presence of a straight and precisely positioned compartment border is dependent on the activity of the engrailed gene until late in development. We suggest that this is due to the gene's effects on cell affinities of the posterior compartment.The engrailed mutation increases the size and changes the shape of the posterior compartment. engrailed clones cause local wing enlargement only if they are dorsal and include the posterior margin of the wing. Wildtype cells outside the clone contribute to this change of shape. This result suggests that the postero-dorsal margin is primarily responsible for the control of shape, and that the ventral compartment is, to some extent, modeled on the dorsal.     

Protein Targeting into the Complex Plastid of Cryptophytes

The cryptophyte Guillardia theta harbors a plastid surrounded by four membranes. This turns protein targeting of nucleus-encoded endosymbiont localized proteins into quite a challenge, as the respective precursors have to pass either all four membranes to reach the plastid stroma or only the outermost two membranes to enter the periplastidal compartment. Therefore two sets of nuclear-encoded proteins imported into the endosymbiont can be distinguished and their topogenic signals may serve as good indicators for studying protein targeting and subsequent transport across the outermost membranes of the cryptophyte plastid. We isolated genes encoding enzymes involved in two different biochemical pathways, both of which are predicted to be localized inside the periplastidal compartment, and compared their topogenic signals to those of precursor proteins for the plastid stroma, which are encoded on either the nucleus or the nucleomorph. By this and exemplary in vitro and in vivo analyses of the topogenic signal of one protein localized in the periplastidal compartment, we present new data implicating the mechanism of targeting and transport of proteins to and across the outermost plastid membranes. Furthermore, we demonstrate that one single, but conserved amino acid is the triggering key for the discrimination between nucleus-encoded plastid and periplastidal proteins. [Reviewing Editor: Dr. Yves Van de Peer]     

The entry of Salmonella in a distinct tight compartment revealed at high temporal and ultrastructural resolution

Salmonella enterica induces membrane ruffling and genesis of macropinosomes during its interactions with epithelial cells. This is achieved through the type three secretion system‐1, which first mediates bacterial attachment to host cells and then injects bacterial effector proteins to alter host behaviour. Next, Salmonella enters into the targeted cell within an early membrane‐bound compartment that matures into a slow growing, replicative niche called the Salmonella Containing Vacuole (SCV). Alternatively, the pathogen disrupts the membrane of the early compartment and replicate at high rate in the cytosol. Here, we show that the in situ formed macropinosomes, which have been previously postulated to be relevant for the step of Salmonella entry, are key contributors for the formation of the mature intracellular niche of Salmonella. We first clarify the primary mode of type three secretion system‐1 induced Salmonella entry into epithelial cells by combining classical fluorescent microscopy with cutting edge large volume electron microscopy. We observed that Salmonella, similarly to Shigella, enters epithelial cells inside tight vacuoles rather than in large macropinosomes. We next apply this technology to visualise rupturing Salmonella containing compartments, and we use extended time‐lapse microscopy to establish early markers that define which Salmonella will eventually hyper replicate. We show that at later infection stages, SCVs harbouring replicating Salmonella have previously fused with the in situ formed macropinosomes. In contrast, such fusion events could not be observed for hyper‐replicating Salmonella, suggesting that fusion of the Salmonella entry compartment with macropinosomes is the first committed step of SCV formation.     

Soil and rhizosphere microorganisms have the same Q10 for respiration in a model system

We compared the Q₁₀ relationship for root‐derived respiration (including respiration due to the root, external mycorrhizal mycelium and rhizosphere microorganisms) with that of mainly external ectomycorrhizal mycelium and that of bulk soil microorganisms without any roots present. This was studied in a microcosm consisting of an ectomycorrhizal Pinus muricata seedling growing in a sandy soil, and where roots were allow to colonize one soil compartment, mycorrhizal mycelium another compartment, and the last compartment consisted of root‐ and mycorrhiza‐free soil. The respiration rate in the bulk soil compartment was 30 times lower than in the root compartment, while that in the mycorrhizal compartment was six times lower. There were no differences in Q₁₀ (for 5–15°C) between the different compartments, indicating that there were no differences in the temperature relationship between root‐associated and non‐root‐associated organisms. Thus, there are no indications that different Q₁₀ values should be used for different soil organism, bulk soil or rhizosphere‐associated microorganisms when modelling the effects of global climate change.     

非编码RNA与RNA组学研究现状及发展态势

人类基因组计划的完成(2001年)宣告了后基因组时代的到来,也掀起新一轮的RNA研究热潮．作为后基因组时代的科学前沿,RNA组学近年来成为生命科学领域的研究热点,各种新型ncRNA的发现,让人们对遗传信息表达调控网络有了新的认识．结合RNA领域的最新研究进展,《 中国科学C辑：生命科学》 (Science in China Series C-Life Sciences)2009年第3期的8篇述评,从动植物小分子非编码 RNA、miRNA 与细胞分化发育、miRNA 与肿瘤发生及诊断治疗的靶点、核酶的结构与功能、遗传印记起源、miRNA 基因簇的进化等多个方面进行了综述,展现了ncRNA领域的研究现状和发展前景．     

Informatics for mutagenesis: the design of Mutabase—a distributed data recording system for animal husbandry, mutagenesis, and phenotypic analysis

The increasing use of high-throughput methods for the production of biologically important information and the increasing diversity of that information pose considerable bioinformatics challenges. These challenges will be met by implementing electronic data management systems not only to capture the data, but increasingly to provide a platform for data integration and mining as we enter the post-genomic era. We discuss the design and implementation of such a data capture system, `Mutabase', as a model of how such electronic systems might be designed and implemented. Mutabase was created in support of a large-scale, phenotype-driven mouse mutagenesis program at MRC Mammalian Genetics Unit, Harwell, in collaboration with SmithKline Beecham Pharmaceuticals, Queen Mary and Westfield College, London, and Imperial College of Science, Technology and Medicine, London. The aim of this mutagenesis project is to make a significant contribution to the existing mouse mutant resource, closing the phenotype gap and providing many more models for fundamental research and disease modeling. Mutabase records experimental details at the `point of generation' and provides a number of dissemination and analysis tools for the experimental data, as well as providing a means of assessing various aspects of progress of the program. Mutabase uses a hypertext-based interface to provide interaction between a number of intranet-based client workstations and a central industrial strength database. Mutabase utilizes a variety of techniques in order to implement the user interface system including Perl/CGI, Java Servlets, and an experimental CORBA server. We discuss the relative merits of these methods in the context of the need to provide sound informatics approaches for the support of systematic mutagenesis programs. Received: 16 December 1999 / Accepted: 17 December 1999     

<Emphasis Type="Italic">Medicago truncatula</Emphasis> syntaxin SYP132 defines the symbiosome membrane and infection droplet membrane in root nodules

Symbiotic association of legume plants with rhizobia bacteria culminates in organogenesis of nitrogen-fixing root nodules. In indeterminate nodules, plant cells accommodate rhizobial infection by enclosing each bacterium in a membrane-bound, organelle-like compartment called the symbiosome. Numerous symbiosomes occupy each nodule cell; therefore an enormous amount of membrane material must be delivered to the symbiosome membrane for its development and maintenance. Protein delivery to the symbiosome is thought to rely on the plant secretory system; however, the targeting mechanisms are not well understood. In this study, we report the first in-depth analysis of a syntaxin localized on symbiosome membranes. Syntaxins help define a biochemical identity to each compartment in the plant secretory system and facilitate vesicle docking and fusion. Here, we present biochemical and cytological evidence that the SNARE MtSYP132, a Medicago truncatula homologue of Arabidopsis thaliana Syntaxin of Plants 132, localizes to the symbiosome membrane. Using a specific anti-MtSYP132 peptide antibody, we also show that MtSYP132 localizes to the plasma membrane surrounding infection threads and is most abundant on the infection droplet membrane. These results indicate that MtSYP132 may function in infection thread development or growth and the early stages of symbiosome formation. Electronic Supplementary Material Supplementary material is available to authorised users in the online version of this article at .     

Global Properties of <Emphasis Type="Italic">SIR</Emphasis> and <Emphasis Type="Italic">SEIR</Emphasis> Epidemic Models with Multiple Parallel Infectious Stages

We consider global properties of compartment SIR and SEIR models of infectious diseases, where there are several parallel infective stages. For instance, such a situation may arise if a fraction of the infected are detected and treated, while the rest of the infected remains undetected and untreated. We assume that the horizontal transmission is governed by the standard bilinear incidence rate. The direct Lyapunov method enables us to prove that the considered models are globally stable: There is always a globally asymptotically stable equilibrium state. Depending on the value of the basic reproduction number R ₀, this state can be either endemic (R ₀>1), or infection-free (R ₀≤1).     

Mathematical Elegance with Biochemical Realism: The Covarion Model of Molecular Evolution

There is an apparent paradox in our understanding of molecular evolution. Current biochemically based models predict that evolutionary trees should not be recoverable for divergences beyond a few hundred million years. In practice, however, trees often appear to be recovered from much older times. Mathematical models, such as those assuming that sites evolve at different rates [including a Γ distribution of rates across sites (RAS)] may in theory allow the recovery of some ancient divergences. However, such models require that each site maintain its characteristic rate over the whole evolutionary period. This assumption, however, contradicts the knowledge that tertiary structures diverge with time, invalidating the rate-constancy assumption of purely mathematical models. We report here that a hidden Markov version of the covarion model can meet both biochemical and statistical requirements for the analysis of sequence data. The model was proposed on biochemical grounds and can be implemented with only two additional parameters. The two hidden parts of this model are the proportion of sites free to vary (covarions) and the rate of interchange between fixed sites and these variable sites. Simulation results are consistent with this approach, providing a better framework for understanding anciently diverged sequences than the standard RAS models. However, a Γ distribution of rates may approximate a covarion model and may possibly be justified on these grounds. The accurate reconstruction of older divergences from sequence data is still a major problem, and molecular evolution still requires mathematical models that also have a sound biochemical basis. Received: 13 February 2001 / Accepted: 22 May 2001     

Conservation of regulatory elements between two species of Drosophila

Background  

One of the important goals in the post-genomic era is to determine the regulatory elements within the non-coding DNA of a given organism's genome. The identification of functional cis-regulatory modules has proven difficult since the component factor binding sites are small and the rules governing their arrangement are poorly understood. However, the genomes of suitably diverged species help to predict regulatory elements based on the generally accepted assumption that conserved blocks of genomic sequence are likely to be functional. To judge the efficacy of strategies that prefilter by sequence conservation it is important to know to what extent the converse assumption holds, namely that functional elements common to both species will fall within these conserved blocks. The recently completed sequence of a second Drosophila species provides an opportunity to test this assumption for one of the experimentally best studied regulatory networks in multicellular organisms, the body patterning of the fly embryo.     

Modeling the αIIbβ3 integrin solution conformation

The α_IIbβ₃ platelet integrin is the prototypical member of a widely distributed class of transmembrane receptors formed by the noncovalent association of α and β subunits. Electron microscopic (EM) images of the α_IIbβ₃ complex show an asymmetric particle with a globular domain from which two extended regions protrude to contact the lipid bilayer. Distance constraints provided by disulfide bond patterns, epitope mapping, and ligand mimetic cross-linking studies rather suggest a somewhat more compact conformation for the α_IIbβ₃ complex. We have studied the shape of detergent-solubilized α_IIbβ₃ by employing a low-resolution modeling procedure in which each polypeptide has been represented as an array of interconnected, nonoverlapping spheres (beads) of various sizes. The number, size, and three-dimensional relationships among the beads were defined either solely by dimensions obtained from published EM images of integrin receptors (EM models, 21 beads), or solely by interdomain constraints derived from published biochemical data (biochemical model, 37 beads). Interestingly, although no EM data were employed in its construction, the resulting overall shape of the biochemical model was still compatible with the EM data. Both kinds of models were then evaluated for their calculated solution properties. The more elongated EM models have diffusion and sedimentation coefficients that differ, at best, by +2% and -18% from the experimental values, determined, respectively, in octyl glucoside and Triton X-100. On the other hand, the parameters calculated for the more compact biochemical model showed a more consistent agreement with experimental values, differing by -7% (octyl glucoside) to -6% (Triton X-100). Thus, it appears that using the biochemical constraints as a starting point has resulted in not only a more detailed model of the detergent-solubilized α_IIbβ₃ complex, where the relative spatial location of specific domains the size of 5–10 kDa can be tentatively mapped, but in a model that can also reconcile the electron microscopy with the biochemical and the solution data.