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Functional Genomics (functional + genomics)
Terms modified by Functional Genomics Selected AbstractsA bioinformatic tool for analysis of EST transcript abundance during infection-related development by Magnaporthe griseaMOLECULAR PLANT PATHOLOGY, Issue 5 2005DARREN M. SOANES SUMMARY Information regarding the levels of mRNA transcript abundance under different conditions, or in specific tissue types, can be obtained by analysis of the frequency of EST sequences in randomly sequenced cDNA libraries. Here we report a bioinformatics tool, which provides a means of identifying genes that are differentially expressed during pathogenesis-related development by the rice blast fungus Magnaporthe grisea. A total of 31 534 M. grisea ESTs were obtained from dbEST at NCBI, clustered into 8821 unique sequences (unisequences) and manually annotated. Transcript profiles were then calculated for 958 unigenes identified from eight different cDNA libraries. The data were integrated into the Consortium for Functional Genomics of Microbial Eukaryotes (COGEME) database (http://cogeme.ex.ac.uk/) and a web-based front end was designed to allow users to access and interrogate the generated datasets. [source] Cover Picture: A Fusion of Disciplines: Chemical Approaches to Exploit Fusion Proteins for Functional Genomics (ChemBioChem 9/2003)CHEMBIOCHEM, Issue 9 2003Nils Johnsson Abstract The cover picture shows a living cell inside which a protein is labeled with fluorescein. The labeling is based on the unusual mechanism of the DNA repair protein O6 -alkylguanine-DNA alkyltransferase (AGT, structure on the right), which irreversibly transfers the alkyl group from O6 -alkylguanine to its reactive cysteine residue. By using O6 -benzylguanine derivatives such as the fluorescein derivative shown, AGT fusion proteins can be covalently labeled in vivo. The method is one example of a growing number of approaches that aim at equipping proteins with functionalities that can not be genetically encoded, which opens up new ways to study proteins in vivo. Further information can be found in the article by N. Johnsson and K. Johnsson on p. 803,ff. [source] Functional genomics to study angiogenesis in health and diseaseEXPERIMENTAL DERMATOLOGY, Issue 10 2007Mieke Dewerchin PhD No abstract is available for this article. [source] Applying modelling experiences from the past to shape crop systems biology: the need to converge crop physiology and functional genomicsNEW PHYTOLOGIST, Issue 3 2008Xinyou Yin Summary Functional genomics has been driven greatly by emerging experimental technologies. Its development as a scientific discipline will be enhanced by systems biology, which generates novel, quantitative hypotheses via modelling. However, in order to better assist crop improvement, the impact of developing functional genomics needs to be assessed at the crop level, given a projected diminishing effect of genetic alteration on phenotypes from the molecule to crop levels. This review illustrates a recently proposed research field, crop systems biology, which is located at the crossroads of crop physiology and functional genomics, and intends to promote communications between the two. Past experiences with modelling whole-crop physiology indicate that the layered structure of biological systems should be taken into account. Moreover, modelling not only plays a role in data synthesis and quantitative prediction, but certainly also in heuristics and system design. These roles of modelling can be applied to crop systems biology to enhance its contribution to our understanding of complex crop phenotypes and subsequently to crop improvement. The success of crop systems biology needs commitments from scientists along the entire knowledge chain of plant biology, from molecule or gene to crop and agro-ecosystem. [source] Allelopathy in crop/weed interactions , an updatePEST MANAGEMENT SCIENCE (FORMERLY: PESTICIDE SCIENCE), Issue 4 2007Regina G Belz Abstract Since varietal differences in allelopathy of crops against weeds were discovered in the 1970s, much research has documented the potential that allelopathic crops offer for integrated weed management with substantially reduced herbicide rates. Research groups worldwide have identified several crop species possessing potent allelopathic interference mediated by root exudation of allelochemicals. Rice, wheat, barley and sorghum have attracted most attention. Past research focused on germplasm screening for elite allelopathic cultivars and the identification of the allelochemicals involved. Based on this, traditional breeding efforts were initiated in rice and wheat to breed agronomically acceptable, weed-suppressive cultivars with improved allelopathic interference. Promising suppressive crosses are under investigation. Molecular approaches have elucidated the genetics of allelopathy by QTL mapping which associated the trait in rice and wheat with several chromosomes and suggested the involvement of several allelochemicals. Potentially important compounds that are constitutively secreted from roots have been identified in all crop species under investigation. Biosynthesis and exudation of these metabolites follow a distinct temporal pattern and can be induced by biotic and abiotic factors. The current state of knowledge suggests that allelopathy involves fluctuating mixtures of allelochemicals and their metabolites as regulated by genotype and developmental stage of the producing plant, environment, cultivation and signalling effects, as well as the chemical or microbial turnover of compounds in the rhizosphere. Functional genomics is being applied to identify genes involved in biosynthesis of several identified allelochemicals, providing the potential to improve allelopathy by molecular breeding. The dynamics of crop allelopathy, inducible processes and plant signalling is gaining growing attention; however, future research should also consider allelochemical release mechanisms, persistence, selectivity and modes of action, as well as consequences of improved crop allelopathy on plant physiology, the environment and management strategies. Creation of weed-suppressive cultivars with improved allelopathic interference is still a challenge, but traditional breeding or biotechnology should pave the way. Copyright © 2006 Society of Chemical Industry [source] Functional genomics of phosphate antiport systems of plastidsPHYSIOLOGIA PLANTARUM, Issue 4 2003Ulf-Ingo Flügge Plant cells require a co-ordination of metabolism between their major compartments, the plastids and the cytosol, in particular as certain metabolic pathways are confined to either compartments. The inner envelope membrane of the plastids forms the major barrier for metabolite exchange and is the site for numerous transport proteins, which selectively catalyse metabolite exchanges characteristic for green and/or non-green tissues. This report is focused on the molecular biology, evolution and physiological function of the family of phosphate translocators (PT) from plastids. Until now, four distinct subfamilies have been identified and characterized, which all share inorganic phosphate as common substrate, but have different spectra of counter exchange substrates to fulfil the metabolic needs of individual cells and tissues. The PTs are named after their main transported substrate, triose phosphate (TPT), phosphoenolpyruvate (PPT), glucose 6-phosphate (GPT) and xylulose 5-P (XPT). All PTs belong to the TPT/nucleotide sugar transporter (NST) superfamily, which includes yet uncharacterized PT homologues from plants and other eukaryotes. Transgenic plants or mutants with altered transport activity of some of the PTs have been generated or isolated. The analysis of these plant lines revealed new insights in the co-ordination and flexibility of plant metabolism. [source] Unsupervised immunophenotypic profiling of chronic lymphocytic leukemiaCYTOMETRY, Issue 3 2006Luzette K. Habib Abstract Background Proteomics and functional genomics have revolutionized approaches to disease classification. Like proteomics, flow cytometry (FCM) assesses concurrent expression of many proteins, with the advantage of using intact cells that may be differentially selected during analysis. However, FCM has generally been used for incremental marker validation or construction of predictive models based on known patterns, rather than as a tool for unsupervised class discovery. We undertook a retrospective analysis of clinical FCM data to assess the feasibility of a cell-based proteomic approach to FCM by unsupervised cluster analysis. Methods Multicolor FCM data on peripheral blood (PB) and bone marrow (BM) lymphocytes from 140 consecutive patients with B-cell chronic lymphoproliferative disorders (LPDs), including 81 chronic lymphocytic leukemia (CLLs), were studied. Expression was normalized for CD19 totals, and recorded for 10 additional B-cell markers. Data were subjected to hierarchical cluster analysis using complete linkage by Pearson's correlation. Analysis of CLL in PB samples (n = 63) discovered three major clusters. One cluster (14 patients) was skewed toward "atypical" CLL and was characterized by high CD20, CD22, FMC7, and light chain, and low CD23. The remaining two clusters consisted almost entirely (48/49) of cases recorded as typical BCLL. The smaller "typical" BCLL cluster differed from the larger cluster by high CD38 (P = 0.001), low CD20 (P = 0.001), and low CD23 (P = 0.016). These two typical BCLL clusters showed a trend toward a difference in survival (P = 0.1090). Statistically significant cluster stability was demonstrated by expanding the dataset to include BM samples, and by using a method of random sampling with replacement. Conclusions This study supports the concept that unsupervised immunophenotypic profiling of FCM data can yield reproducible subtypes of lymphoma/chronic leukemia. Expanded studies are warranted in the use of FCM as an unsupervised class discovery tool, akin to other proteomic methods, rather than as a validation tool. © 2006 International Society for Analytical Cytology [source] Xenopus, the next generation: X. Tropicalis genetics and genomicsDEVELOPMENTAL DYNAMICS, Issue 4 2002Nicolas Hirsch Abstract A small, fast-breeding, diploid relative of the frog Xenopus laevis, Xenopus tropicalis, has recently been adopted for research in developmental genetics and functional genomics. X. tropicalis shares advantages of X. laevis as a classic embryologic system, but its simpler genome and shorter generation time make it more convenient for multigenerational genetic, genomic, and transgenic approaches. Its embryos closely resemble those of X. laevis, except for their smaller size, and assays and molecular probes developed in X. laevis can be readily adapted for use in X. tropicalis. Genomic manipulation techniques such as gynogenesis facilitate genetic screens, because they permit the identification of recessive phenotypes after only one generation. Stable transgenic lines can be used both as in vivo reporters to streamline a variety of embryologic and molecular assays, or to experimentally manipulate gene expression through the use of binary constructs such as the GAL4/UAS system. Several mutations have been identified in wild-caught animals and during the course of generating inbred lines. A variety of strategies are discussed for conducting and managing genetic screens, obtaining mutations in specific sequences, achieving homologous recombination, and in developing and taking advantage of the genomic resources for Xenopus tropicalis. © 2002 Wiley-Liss, Inc. [source] Transcription factor binding study by capillary zone electrophoretic mobility shift assayELECTROPHORESIS, Issue 1-2 2003Zsolt Ronai Abstract Regulation of gene expression through interaction of proteins with specific DNA sequences is a central issue in functional genomics. Capillary electrophoretic mobility shift assay is an efficient novel method for the investigation of sequence specific protein-DNA interactions, allowing rapid and sensitive quantification of the complex formation. In this paper, we present a pilot study on capillary zone electrophoretic mobility shift assay (CZEMSA) to investigate the interaction between the transcription factors of HeLa nuclear extract and Sp1-specific fluorescein-labeled oligonucleotide, using the unlabeled probe as competitor. The mobility shift assay was accomplished by CZE in coated capillaries without polymeric buffer additives. Specificity of the DNA protein complex formation was verified by competition experiments, as well as by supershift assay with an anti-Sp1 antibody. The applied electric field strength did not affect the stability of DNA-protein complex during the electrophoretic analysis, allowing rapid identification and quantification of the protein DNA interaction. A practical application to study the interaction between Oryza sativa MADS-box transcription factor 4 (OsMADS4) and its consensus sequence is also reported. [source] Development of Live Cell Chips to Monitor Cell Differentiation ProcessesENGINEERING IN LIFE SCIENCES (ELECTRONIC), Issue 1 2008C. Maercker Abstract A big demand exists for high-throughput functional in vitro assays which can measure cellular phenotypes by molecular methods and therefore improve the resources of primary cells for cell therapy, tissue engineering and high-content screenings in drug development. This approach focuses on cellular adhesion which is an important differentiation process during homing of stem cells. Moreover, it is a promising method especially for adherent cells which are not accessible by classical cell sorting methods. The chip design includes a housing with electrodes to measure electric field densities and impedance, respectively. Moreover, specific coatings of the wells permit a perfect growth of the selected cell types. In parallel, protein biomarkers can be followed by light microscopy. So far, experiments have been started to discriminate between different cell densities and cell types. In addition, after stimulating human cardiac fibroblasts and human umbilical vein endothelial cells, concentrations of proteins involved in adhesion had been increased, and proteins were translocated within the cells. In ongoing experiments, different human cell lines and fibroblastoid mesenchymal stem cells isolated from fat tissue, umbilical cord, or bone marrow are tested in the chip. To optimize the adhesion conditions, the surfaces within the vials of the chip were specifically activated. Microscopy was adjusted to be able to measure cellular morphology in parallel. This concept allows to identify the behavior of mesenchymal stem cells, which cannot be described so far by standard biomarkers. In addition, simulation of the homing process of the cells within its stem cell niche in an in vitro assay is a promising setup for large-scale gain-of-function or loss-of-function screenings in functional genomics as well as for generating precursor cells relevant for the therapy of various diseases. [source] Microarrays: The Technology, Analysis and ApplicationENGINEERING IN LIFE SCIENCES (ELECTRONIC), Issue 3 2005A. Kumar Abstract DNA microarray analysis represents one of the major advances leading to the development of functional genomics and proteomics. It involves the fabrication of DNA either by in situ or on-chip photolithographic synthesis or by inkjet or microjet deposition, as microspots immobilized on the surface of miniaturized substrates like glass or membranes. The immobilized DNA molecules are then allowed to hybridize with labeled complementary DNA. The hybrid DNA so formed is read through scanning devices, such as fluorescence and radioactivity. Further, computational approaches, for example, normalization and clustering allow thousands of genetic parameters in a single experiment to be simultaneously analyzed. This review discusses the fundamental principles and data analysis of the microarray technology, while focusing on its application in gene expression analysis, genotyping for point mutation and diseases diagnostics. [source] Metagenomic signatures of 86 microbial and viral metagenomesENVIRONMENTAL MICROBIOLOGY, Issue 7 2009Dana Willner Summary Previous studies have shown that dinucleotide abundances capture the majority of variation in genome signatures and are useful for quantifying lateral gene transfer and building molecular phylogenies. Metagenomes contain a mixture of individual genomes, and might be expected to lack compositional signatures. In many metagenomic data sets the majority of sequences have no significant similarities to known sequences and are effectively excluded from subsequent analyses. To circumvent this limitation, di-, tri- and tetranucleotide abundances of 86 microbial and viral metagenomes consisting of short pyrosequencing reads were analysed to provide a method which includes all sequences that can be used in combination with other analysis to increase our knowledge about microbial and viral communities. Both principal component analysis and hierarchical clustering showed definitive groupings of metagenomes drawn from similar environments. Together these analyses showed that dinucleotide composition, as opposed to tri- and tetranucleotides, defines a metagenomic signature which can explain up to 80% of the variance between biomes, which is comparable to that obtained by functional genomics. Metagenomes with anomalous content were also identified using dinucleotide abundances. Subsequent analyses determined that these metagenomes were contaminated with exogenous DNA, suggesting that this approach is a useful metric for quality control. The predictive strength of the dinucleotide composition also opens the possibility of assigning ecological classifications to unknown fragments. Environmental selection may be responsible for this dinucleotide signature through direct selection of specific compositional signals; however, simulations suggest that the environment may select indirectly by promoting the increased abundance of a few dominant taxa. [source] Seed-based systematic discovery of specific transcription factor target genesFEBS JOURNAL, Issue 12 2008Ralf Mrowka Reliable prediction of specific transcription factor target genes is a major challenge in systems biology and functional genomics. Current sequence-based methods yield many false predictions, due to the short and degenerated DNA-binding motifs. Here, we describe a new systematic genome-wide approach, the seed-distribution-distance method, that searches large-scale genome-wide expression data for genes that are similarly expressed as known targets. This method is used to identify genes that are likely targets, allowing sequence-based methods to focus on a subset of genes, giving rise to fewer false-positive predictions. We show by cross-validation that this method is robust in recovering specific target genes. Furthermore, this method identifies genes with typical functions and binding motifs of the seed. The method is illustrated by predicting novel targets of the transcription factor nuclear factor kappaB (NF-,B). Among the new targets is optineurin, which plays a key role in the pathogenesis of acquired blindness caused by adult-onset primary open-angle glaucoma. We show experimentally that the optineurin gene and other predicted genes are targets of NF-,B. Thus, our data provide a missing link in the signalling of NF-,B and the damping function of optineurin in signalling feedback of NF-,B. We present a robust and reliable method to enhance the genome-wide prediction of specific transcription factor target genes that exploits the vast amount of expression information available in public databases today. [source] Molecular biology of aromatic plants and spices.FLAVOUR AND FRAGRANCE JOURNAL, Issue 5 2010A review. Abstract In recent years, molecular tools have been used to help to elucidate some aspects of genetic diversity in aromatic species, the genetic relationships between different cultivars and comparisons of molecular marker analysis to the chemical composition of plants. In this review, an explanation of the most important techniques involving molecular markers is given. A literature survey on molecular markers is presented, with some examples from aromatic plants and spices. However, understanding what controls flavour and aroma production in plants is not an easy task to accomplish. Several aspects of plant secondary metabolism, in particular volatiles production in aromatic plants, are still unknown. The route from genomics to proteomics is not well documented, although some research with model plants has already been performed. To address the question of the synthesis of volatiles, two different approaches are possible and summarized in this review: first, the biochemical and genetic approach; and second, approaches involving functional genomics. Finally, a brief survey of bioinformatics resources is presented. Copyright © 2010 John Wiley & Sons, Ltd. [source] High throughput functional genomics: Identification of novel genes with tumor suppressor phenotypesINTERNATIONAL JOURNAL OF CANCER, Issue 3 2005Kerstin Koenig-Hoffmann Abstract We have used a combination of high throughput functional genomics, computerized database mining and expression analyses to discover novel human tumor suppressor genes (TSGs). A genome-wide high throughput cDNA phenotype screen was established to identify genes that induce apoptosis or reduce cell viability. TSGs are expressed in normal tissue and frequently act by reduction of growth of transformed cells or induce apoptosis. In agreement with that and thus serving as platform validation, our pro-apoptotic hits included genes for which tumor suppressing activities were known, such as kangai1 and CD81 antigen. Additional genes that so far have been claimed as putative TSGs or associated with tumor inhibitory activities (prostate differentiation factor, hRAS-like suppressor 3, DPH2L1-like and the metastasis inhibitor Kiss1) were confirmed in their proposed TSG-like phenotype by functionally defining their growth inhibitory or pro-apoptotic function towards cancer cells. Finally, novel genes were identified for which neither association with cell growth nor with apoptosis were previously described. A subset of these genes show characteristics of TSGs because they (i) reduce the growth or induce apoptosis in tumor cells; (ii) show reduced expression in tumor vs. normal tissue; and (iii) are located on chromosomal (LOH-) loci for which cancer-associated deletions are described. The pro-apoptotic phenotype and differential expression of these genes in normal and malignant tissue make them promising target candidates for the diagnosis and therapy of various tumors. [source] Replication efficiency and sequence analysis of full-length hepatitis B virus isolates from hepatocellular carcinoma tissuesINTERNATIONAL JOURNAL OF CANCER, Issue 5 2002Xu Lin Abstract Prolonged replication of hepatitis B virus (HBV) in liver tissues of hepatitis B patients has been considered as an important risk factor for the development of malignancy. Few studies on full-length HBV sequencing in association with the replication efficiency of isolates from HCC tissues have been reported. To study the structural and functional genomics of HBV isolates from Chinese hepatocellular carcinoma (HCC) patients, full-length HBV genomes were amplified from 6 HBV-marker positive HCC tissues and used to transfect HepG2 cells. Five of 6 isolates showed high replicative efficiency. All isolates were of genotype C and "hot-spots" mutations were detected in the B cell and T helper (Th) cell epitopes of the envelope and the core region. In addition, the X region of 2 isolates contained a stop-codon mutation that was predicted to result in a truncated X protein. High replicative HBV immune escape mutants that persist in infected hepatocytes could be 1 of the important factors to initiate pathological processes for the development of HCC in Chinese patients. © 2002 Wiley-Liss, Inc. [source] The pure parsimony haplotyping problem: overview and computational advancesINTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, Issue 5 2009Daniele Catanzaro Abstract Haplotyping estimation from aligned single-nucleotide polymorphism fragments has attracted more and more attention in recent years due to its importance in analysis of many fine-scale genetic data. Its application fields range from mapping of complex disease genes to inferring population histories, passing through designing drugs, functional genomics, and pharmacogenetics. The literature proposes a number of estimation criteria to select a set of haplotypes among possible alternatives. Usually, such criteria can be expressed under the form of objective functions, and the sets of haplotypes that optimize them are referred to as optimal. One of the most important estimation criteria is the pure parsimony, which states that the optimal set of haplotypes for a given set of genotypes is that having minimal cardinality. Finding the minimal number of haplotypes necessary to explain a given set of genotypes involves solving an optimization problem, called the pure parsimony haplotyping (PPH) estimation problem, which is notoriously -hard. This article provides an overview of PPH, and discusses the different approaches to solution that occur in the literature. [source] Toxicogenomics: a pivotal piece in the puzzle of toxicological researchJOURNAL OF APPLIED TOXICOLOGY, Issue 4 2007Elisavet T. Gatzidou Abstract Toxicogenomics, resulting from the merge of conventional toxicology with functional genomics, being the scientific field studying the complex interactions between the cellular genome, toxic agents in the environment, organ dysfunction and disease state. When an organism is exposed to a toxic agent the cells respond by altering the pattern of gene expression. Genes are transcribed into mRNA, which in turn is translated into proteins that serve in a variety of cellular functions. Toxicogenomics through microarray technology, offers large-scale detection and quantification of mRNA transcripts, related to alterations in mRNA stability or gene regulation. This may prove advantageous in toxicological research. In the present review, the applications of toxicogenomics, especially to mechanistic and predictive toxicology are reported. The limitations arising from the use of this technology are also discussed. Additionally, a brief report of other approaches, using other -omic technologies (proteomics and metabonomics) that overcome limitations and give global information related to toxicity, is included. Copyright © 2007 John Wiley & Sons, Ltd. [source] Construction and Application of Efficient Ac-Ds Transposon Tagging Vectors in RiceJOURNAL OF INTEGRATIVE PLANT BIOLOGY, Issue 11 2009Shaohong Qu Abstract Transposons are effective mutagens alternative to T-DNA for the generation of insertional mutants in many plant species including those whose transformation is inefficient. The current strategies of transposon tagging are usually slow and labor-intensive and yield low frequency of tagged lines. We have constructed a series of transposon tagging vectors based on three approaches: (i) AcTPase controlled by glucocorticoid binding domain/VP16 acidic activation domain/Gal4 DNA-binding domain (GVG) chemical-inducible expression system; (ii) deletion of AcTPase via Cre- lox site-specific recombination that was initially triggered by Ds excision; and (iii) suppression of early transposition events in transformed rice callus through a dual-functional hygromycin resistance gene in a novel Ds element (HPT-Ds). We tested these vectors in transgenic rice and characterized the transposition events. Our results showed that these vectors are useful resources for functional genomics of rice and other crop plants. The vectors are freely available for the community. [source] Bioinformatics and functional genomics: Challenges and opportunitiesAICHE JOURNAL, Issue 12 2000Vassily Hatzimaikatis First page of article [source] MOLECULAR GENETIC MANIPULATION OF THE DIATOM THALASSIOSIRA PSEUDONANA (BACILLARIOPHYCEAE),JOURNAL OF PHYCOLOGY, Issue 5 2006Nicole Poulsen Here, we describe the first system for genetic transformation of Thalassiosira pseudonana (Hustedt) Hasle et Heimdal, the only diatom for which a complete genome sequence is presently available. This method is based on microparticle bombardment followed by selection of transformants using the antibiotic nourseothricin. It exhibits the highest transformation efficiency compared with transformation systems for other diatom species. To achieve the high transformation efficiency, it is important to allow recovery of the bombarded T. pseudonana cells in non-selective suspension culture before spreading on nourseothricin containing agar plates. It is demonstrated that T. pseudonana is readily susceptible to co-transformation allowing for the simultaneous introduction of a non-selective gene together with the selection marker gene. Both introduced genes are stably inherited even in the absence of the antibiotic selection pressure. We have developed two T. pseudonana -specific expression vectors that can drive constitutive expression (vector pTpfcp) and inducible expression (vector pTpNR) of introduced genes. In combination with the available genome data the T. pseudonana transformation system is expected to provide a powerful tool for functional genomics in diatoms. [source] DNA Microarrays: Their Use and MisuseMICROCIRCULATION, Issue 1 2002Xinmin Li DNA microarray represents one of the major advances in functional genomics. Its ability to study expression of several thousands of genes or even all genes in the entire genome in a single experiment has changed the way in which we address basic biomedical questions. Numerous publications have shown its utility in drug discovery, disease diagnosis, novel gene identification, and understanding complex biological systems. However, there are substantive technical issues associated with the use of this technology that limit the interpretation of microarray data. In this review, we first give an overview of DNA microarray technology and then focus on uncertainty areas of microarray technology that include making microarrays, isolation of RNA and labeling, hybridization and scanning, and data analysis. The center theme of this review is to improve microarray reproducibility by addressing common technical problems. Finally, we briefly summarize microarray's applications in biomedical research. [source] Towards natural polyploid model organismsMOLECULAR ECOLOGY, Issue 8 2008RICHARD J. A. BUGGS Abstract Populations of natural allopolyploids with available and well-developed genomic resources are currently hard to come by. These are needed because whole genome duplication and hybridization , both combined in allopolyploids , are significant processes in evolution, especially the evolution of plants. The new characterization of a naturally occurring allopolyploid in the genus Mimulus by Sweigart et al. in this issue of Molecular Ecology is therefore to be welcomed. Mimulus is rapidly emerging as a model system for evolutionary functional genomics. Sequences of the whole genome and 200 000 expressed sequence tags of diploid M. guttatus, a putative parent of the polyploid described in this issue, will soon be available. These will facilitate investigation of the fates of genes duplicated by whole genome duplication, and their effects on morphology, mating system and ecology in natural populations. [source] Applying modelling experiences from the past to shape crop systems biology: the need to converge crop physiology and functional genomicsNEW PHYTOLOGIST, Issue 3 2008Xinyou Yin Summary Functional genomics has been driven greatly by emerging experimental technologies. Its development as a scientific discipline will be enhanced by systems biology, which generates novel, quantitative hypotheses via modelling. However, in order to better assist crop improvement, the impact of developing functional genomics needs to be assessed at the crop level, given a projected diminishing effect of genetic alteration on phenotypes from the molecule to crop levels. This review illustrates a recently proposed research field, crop systems biology, which is located at the crossroads of crop physiology and functional genomics, and intends to promote communications between the two. Past experiences with modelling whole-crop physiology indicate that the layered structure of biological systems should be taken into account. Moreover, modelling not only plays a role in data synthesis and quantitative prediction, but certainly also in heuristics and system design. These roles of modelling can be applied to crop systems biology to enhance its contribution to our understanding of complex crop phenotypes and subsequently to crop improvement. The success of crop systems biology needs commitments from scientists along the entire knowledge chain of plant biology, from molecule or gene to crop and agro-ecosystem. [source] Tension wood as a model for functional genomics of wood formationNEW PHYTOLOGIST, Issue 1 2004Gilles Pilate Summary Wood is a complex and highly variable tissue, the formation of which is developmentally and environmentally regulated. In reaction to gravitropic stimuli, angiosperm trees differentiate tension wood, a wood with specific anatomical, chemical and mechanical features. In poplar the most significant of these features is an additional layer that forms in the secondary wall of tension wood fibres. This layer is mainly constituted of cellulose microfibrils oriented nearly parallel to the fibre axis. Tension wood formation can be induced easily and strongly by bending the stem of a tree. Located at the upper side of the bent stem, tension wood can be compared with the wood located on its lower side. Therefore tension wood represents an excellent model for studying the formation of xylem cell walls. This review summarizes results recently obtained in the field of genomics on tension wood. In addition, we present an example of how the application of functional genomics to tension wood can help decipher the molecular mechanisms responsible for cell wall characteristics such as the orientation of cellulose microfibrils. [source] Developmental cross talking in the ectomycorrhizal symbiosis: signals and communication genesNEW PHYTOLOGIST, Issue 1 2001Francis Martin Summary Development of ectomycorrhizas involves multiple genes that are implicated in a complex series of interdependent, sequential steps. Current research into ectomycorrhiza development and functioning is aimed at understanding this plant,microbe interaction in a framework of the developmental and physiological processes that underlie colonization and morphogenesis. After a brief introduction to the ectomycorrhizal symbiosis, the present article highlights recent work on the early signal exchange taking place between symbionts, and sketches the way functional genomics is altering our thinking about changes in gene expression during the early steps of the ectomycorrhiza development. [source] What it takes to get a herbicide's mode of action.PEST MANAGEMENT SCIENCE (FORMERLY: PESTICIDE SCIENCE), Issue 5 2005Physionomics, a classical approach in a new complexion Abstract Discovering new herbicides with novel modes of action is a priority assignment in plant protection research. However, for active compounds identified in greenhouse screens, the crucial point is to tread the most efficient path in determining a herbicide's target site, regarding chance of success, time and research costs. Today, in the literature, molecular (functional genomics, transcriptomics), biochemical (proteomics) and analytical (metabolomics) approaches are particularly discussed. So far, less attention has been focused on the comprehensive physiological profiling of the complex plant system as a procedure which enables new herbicides, with an unknown target site for their mode of action, to be screened rapidly. Here, the concept of an array of ,functional' bioassays is presented which has ultimately been developed from the classical tool of mode of action diagnosis by symptoms. These bioassays are designed to differentiate between the distinct responses of the multiple organization units (plant, tissue, meristematic cell, organelle), developmental stages, types of metabolism (phototrophic, heterotrophic) and physiological processes in the plant organism. The response pattern to a herbicide can be viewed as the end result of changes induced in the molecular and biochemical process chain and should be diagnostic of its physiological mode of action. The results can be interpreted directly or a fingerprint database for all known modes of action to be screened for analogy. The term ,physionomics' is proposed for this comprehensive physiological profiling of the plant system, following the parallel terminology of the molecular and biochemical ,omics' technologies. Physionomics procedures provide a first clue to the mode of action of a new herbicide that can direct more time-consuming and costly molecular, biochemical, histochemical or analytical studies to identify a target site more efficiently. Copyright © 2005 Society of Chemical Industry [source] Evaluation of different RNA extraction methods for small quantities of plant tissue: Combined effects of reagent type and homogenization procedure on RNA quality-integrity and yieldPHYSIOLOGIA PLANTARUM, Issue 1 2006Mary Portillo Highly sensitive techniques for transcriptome analysis, such as microarrays, complementary DNA-amplified fragment length polymorphisms (cDNA-AFLPs), and others currently used in functional genomics require a high RNA quality and integrity, as well as reproducibility among extractions of replicates from the same tissue. There are, however, few technical papers comparing different homogenization techniques and reagents to extract RNA from small quantities of plant tissue. We extracted RNA from tomato seedlings with the three different commercial reagents TRIZOL LS®, TRIZOL®, and TRI Reagent® in combination with pulverization, homogenization-maceration in a mortar, and homogenization with mild vibration plus glass beads, and evaluated total RNA integrity-quality and yield. Pulverization under liquid nitrogen combined with TRIZOL LS® as extraction reagent and homogenization-maceration in mortar with TRI Reagent®, are the procedures that rendered higher RNA yield, integrity and quality, as well as reproducibility among independent RNA extractions. In contrast, short mild vibration pulses (4500 r.p.m. for 5 s) mixed with glass beads, rendered low extraction efficiency and caused, in most cases, partial RNA degradation. [source] A convenient and versatile hydroponic cultivation system for Arabidopsis thalianaPHYSIOLOGIA PLANTARUM, Issue 3 2004Hanna Norén A versatile two-step cultivation procedure for Arabidopsis thaliana is described for the production of large quantities of leaf material suitable for biochemical and biophysical analysis. The first step comprises a miniature greenhouse made out of a plastic pipette box to grow the seedlings to the six-leaf stage. For continued growth, the seedlings are transferred to hydroponic cultivation using an opaque container covered by a styrofoam lid. Transfer of the small seedlings to hydroponic culture is facilitated by growth in separate pipette tips, which protects vulnerable roots from damage. The hydroponic cultivation system is easy to scale-up and produces large amounts of relatively large leaves and roots. This hydroponic system produces enough plant material to make Arabidopsis a feasible model for biochemical and biophysical experiments, which can be combined with the available genetic information to address various aspects of plant functional genomics. [source] Moss Systems Biology en Route: Phytohormones in Physcomitrella DevelopmentPLANT BIOLOGY, Issue 3 2006E. L. Decker Abstract: The moss Physcomitrella patens has become a powerful model system in modern plant biology. Highly standardized cell culture techniques, as well as the necessary tools for computational biology, functional genomics and proteomics have been established. Large EST collections are available and the complete moss genome will be released soon. A simple body plan and the small number of different cell types in Physcomitrella facilitate the study of developmental processes. In the filamentous juvenile moss tissue, developmental decisions rely on the differentiation of single cells. Developmental steps are controlled by distinct phytohormones and integration of environmental signals. Especially the phytohormones auxin, cytokinin, and abscisic acid have distinct effects on early moss development. In this article, we review current knowledge about phytohormone influences on early moss development in an attempt to fully unravel the complex regulatory signal transduction networks underlying the developmental decisions of single plant cells in a holistic systems biology approach. [source] | ||||||||||||||||||||||||||||||||||