The -omics Era- Toward a Systems-Level Understanding of Streptomyces

Streptomyces is a group of soil bacteria of medicinal, economic, ecological, and industrial importance. It is renowned for its complex biology in gene regulation, antibiotic production, morphological differentiation, and stress response. In this review, we provide an overview of the recent advances in Streptomyces biology inspired by -omics based high throughput technologies. In this post-genomic era, vast amounts of data have been integrated to provide significant new insights into the fundamental mechanisms of system control and regulation dynamics of Streptomyces.     

Detection of Phenotype Modifier Genes Using Two-Locus Linkage Analysis in Complex Disorders Such as Major Psychosis

Objective: To increase power to detect modifier loci conferring susceptibility to specific phenotypes such as disease diagnoses which are part of a broader disorder spectrum by jointly modeling a modifier and a broad susceptibility gene and to identify modifier loci conferring specific susceptibility to schizophrenia (SZ) or to bipolar disorder (BP) using the approach. Methods: We implemented a two-locus linkage analysis model where a gene 1 genotype increases the risk of a broad phenotype and a gene 2 genotype modifies the expression of gene 1 by conferring susceptibility to a specific phenotype. Results: Compared to a single-locus analysis within the broad phenotype, the proposed approach had greater power to detect the modifier gene 2 (0.96 vs. 0.54 under a simulation scenario including heterogeneity). In a sample of 12 mixed SZ and BP Eastern Quebec kindreds, D8S1110 at 8p22 showed the strongest evidence of linkage to a gene determining a specific phenotype (SZ or BP) among subjects susceptible to major psychosis because of putative genes at 10p13 (D10S245, conditional maximized LOD (cMOD) = 4.20, p = 0.0003) and 3q21-q23 (D3S2418, cMOD = 4.09, p = 0.0005). Conclusion: The proposed strategy is useful to detect modifier loci conferring susceptibility to a specific phenotype within a broader phenotype.     

对骨细胞生物学功能的最新认识

骨细胞长久以来都被看作是一种终末分化的、代谢隋性的、深埋在骨基质之中的占位细胞．并不具有重要的生理作用和功能。然而近些年的研究发现,骨细胞是一种活跃的多功能细胞,参与机体诸多生物学过程的调控。骨细胞的生物学功能可以大致归纳为以下六类：调节骨重建平衡、感知和转导力学刺激、参与机体的神经-内分泌调节、与肌肉组织有密切的相互作用、降解与合成骨基质及调控骨组织内储存的钙和其他生物活性物质。     

The Evolution of Avian Senescence Patterns: Implications for Understanding Primary Aging Processes

SYNOPSIS. The long life spans of birds relative to those ofmammals are intriguing to biogerontologists, particularly inlight of birds' high body temperatures, high blood glucose levels,and high metabolic rates—all of which should theoreticallyincrease their biochemical liability for rapid aging. The comparativelongevity of birds and other flying homeotherms is consistentwith evolutionary senescence theory, which posits that specieswith low mortality rates from predation or accident will bereleased from selection for rapid maturity and early reproduction,and will exhibit retarded aging. Comparative analyses of avianlife history parameters to date, although not as extensive asthose for mammals, broadly support an association between lowmortality rates, slow reproduction, and long lifespan. The diversityof bird life histories suggests the importance of developinga diversity of avian models for studies of aging mechanisms,both proximate and ultimate, and for using wild as well as domesticrepresentatives. Birds studied in the laboratory thus far showmany of the same manifestations of aging as mammals, includinghumans, and many ornithologists are beginning to document actuarialevidence consistent with aging in their study populations. Weencourage greater communication and collaboration among comparativegerontologists and ornithologists, in the hope that the studyof aging in birds will lead to an integrated understanding ofphysiological aging processes well grounded in an evolutionaryparadigm.     

The Value of the Value of Information

An important application of decision analysis is determining the value that information has to a decision maker. The expected value of information (EVOI) is the expected increase in the value (or decrease in the loss) associated with obtaining more information about quantities relevant to the decision process. The EVOI can be thought of as a measure of the importance of the uncertainty about a quantity in terms of the expected improvement in the decision that might be obtained from having additional information about it. Examples of EVOI quantities useful in risk management situations include the expected value of including uncertainty (EVIU), the expected value of perfect information (EVPI), and the expected value of sample information (EVSI). Value of information (VOI) analysis is useful because it makes the losses associated with decision errors explicit, balances competing probabilities and costs, helps identify the decision alternative that minimizes the expected loss, prioritizes spending on research, quantifies the value of the research to the decision maker, and provides an upper bound on what should be spent on getting information.     

Hollandite as a Functional and Structural Model for the Biological Water Oxidizing Complex: Manganese-Calcium Oxide Minerals as a Possible Evolutionary Origin for the CaMn4 Cluster of the Biological Water Oxidizing Complex

Oxygen evolution was observed upon mixing either hollandite, which has been proposed as a structural model for the biological water oxidizing complex, or hausmannite with an aqueous solution of cerium (IV) ammonium nitrate. Oxygen evolution from water during irradiation with visible light (λ > 400 nm) was also observed upon adding either hollandite or hausmannite to an aqueous solution containing tris (2,2′-bipyridyl)ruthenium(II) chloride and chloro pentaammine cobalt(III) chloride in acetate buffer. These experiments showed that hollandite is a good catalyst for oxygen evolution in presence of cerium (IV) ammonium nitrate or tris (2,2′-bipyridyl)ruthenium (III). Thus, hollandite is not only a structural but also a functional model for the biological water oxidizing complex. Supplemental materials are available for this article. Go to the publisher's online edition of Geomicrobiology Journal to view the free supplemental file.     

Functional Knowledge Transfer for High-accuracy Prediction of Under-studied Biological Processes

A key challenge in genetics is identifying the functional roles of genes in pathways. Numerous functional genomics techniques (e.g. machine learning) that predict protein function have been developed to address this question. These methods generally build from existing annotations of genes to pathways and thus are often unable to identify additional genes participating in processes that are not already well studied. Many of these processes are well studied in some organism, but not necessarily in an investigator''s organism of interest. Sequence-based search methods (e.g. BLAST) have been used to transfer such annotation information between organisms. We demonstrate that functional genomics can complement traditional sequence similarity to improve the transfer of gene annotations between organisms. Our method transfers annotations only when functionally appropriate as determined by genomic data and can be used with any prediction algorithm to combine transferred gene function knowledge with organism-specific high-throughput data to enable accurate function prediction.We show that diverse state-of-art machine learning algorithms leveraging functional knowledge transfer (FKT) dramatically improve their accuracy in predicting gene-pathway membership, particularly for processes with little experimental knowledge in an organism. We also show that our method compares favorably to annotation transfer by sequence similarity. Next, we deploy FKT with state-of-the-art SVM classifier to predict novel genes to 11,000 biological processes across six diverse organisms and expand the coverage of accurate function predictions to processes that are often ignored because of a dearth of annotated genes in an organism. Finally, we perform in vivo experimental investigation in Danio rerio and confirm the regulatory role of our top predicted novel gene, wnt5b, in leftward cell migration during heart development. FKT is immediately applicable to many bioinformatics techniques and will help biologists systematically integrate prior knowledge from diverse systems to direct targeted experiments in their organism of study.     

Attraction Basins as Gauges of Robustness against Boundary Conditions in Biological Complex Systems

One fundamental concept in the context of biological systems on which researches have flourished in the past decade is that of the apparent robustness of these systems, i.e., their ability to resist to perturbations or constraints induced by external or boundary elements such as electromagnetic fields acting on neural networks, micro-RNAs acting on genetic networks and even hormone flows acting both on neural and genetic networks. Recent studies have shown the importance of addressing the question of the environmental robustness of biological networks such as neural and genetic networks. In some cases, external regulatory elements can be given a relevant formal representation by assimilating them to or modeling them by boundary conditions. This article presents a generic mathematical approach to understand the influence of boundary elements on the dynamics of regulation networks, considering their attraction basins as gauges of their robustness. The application of this method on a real genetic regulation network will point out a mathematical explanation of a biological phenomenon which has only been observed experimentally until now, namely the necessity of the presence of gibberellin for the flower of the plant Arabidopsis thaliana to develop normally.     

The Production,Isolation and Biological Properties of Detoxin Complex

The selective antagonists of blasticidin S elaborated by Streptomyces caespitosus var. detoxicus 7072 GC₁ showed several interesting biological activities to counteract the toxicity of the antibiotic against both plant and animal cells and was designated DX.C. This paper describes the production, isolation and some biological activities of DX.C.     

A Proteomic Approach for Comprehensively Screening Substrates of Protein Kinases Such as Rho-Kinase

Background

Protein kinases are major components of signal transduction pathways in multiple cellular processes. Kinases directly interact with and phosphorylate downstream substrates, thus modulating their functions. Despite the importance of identifying substrates in order to more fully understand the signaling network of respective kinases, efficient methods to search for substrates remain poorly explored.

Methodology/Principal Findings

We combined mass spectrometry and affinity column chromatography of the catalytic domain of protein kinases to screen potential substrates. Using the active catalytic fragment of Rho-kinase/ROCK/ROK as the model bait, we obtained about 300 interacting proteins from the rat brain cytosol fraction, which included the proteins previously reported as Rho-kinase substrates. Several novel interacting proteins, including doublecortin, were phosphorylated by Rho-kinase both in vitro and in vivo.

Conclusions/Significance

This method would enable identification of novel specific substrates for kinases such as Rho-kinase with high sensitivity.     

Microbial Community Comparison of Different Biological Processes for Treating the Same Sewage

The microbial communities, including ammonia-oxidizing bacterial (AOB), eubacterial, actinomycetic and yeast communities, were investigated in two different systems by PCR-DGGE (denaturing gradient gel electrophoresis) using amplified 16S rRNA gene fragments of bacteria and 26S rRNA gene fragments of yeast. The two systems, which used an anoxic-anaerobic-aerobic process (A₂O) and an anoxic-aerobic process (AO), respectively, received identical sewage, operated under the same conditions and demonstrated similar treatment performance. The AOB communities of the two systems showed almost identical structures corresponding to similar ammonium removal, while bacterial, actinomycetic and yeast communities demonstrated obvious differences. The A₂O system showed richer eubacterial, actinomycetic and yeast communities than the AO system. FISH results showed that the AOB cells in the A₂O system made up 3.6 ± 0.2% of the total bacterial population, while those in the AO system accounted for 1.9 ± 0.2%. Thus the existence of an anaerobic environment in the A₂O system resulted in a marked increase in biodiversity.     

Maintaining or Abandoning African Rice: Lessons for Understanding Processes of Seed Innovation

Rice breeding and crop research predominantly emphasize adaptation to ecological conditions. Based on qualitative and quantitative research conducted between 2000 and 2012 we show how ecological factors, combined with socioeconomic variables, cultural norms and values, shape the use and development of local technologies related to the cultivation of African rice (Oryza glaberrima Steud.) in seven West African countries (Ghana, Guinea, Guinea-Bissau, Senegal, Sierra Leone, The Gambia and Togo). In this region the role of African rice is diverse across ethnic groups. Findings suggest that farmers, through various pathways, are active in the development of promising new varieties based on genetic resources of Asian rice, African rice, or both, as well as in the adoption of modern varieties. These findings require further research into interactions among ecological, genetic, socioeconomic and cultural factors within farmers?? innovation systems and recognition of emergent knowledge and technologies resulting from such interactions.     

Novel Sample Preparation for Mass Spectral Analysis of Complex Biological Samples

The ability to combine a selective capture strategy with on chip MALDI-TOF analysis allows for rapid, sensitive analysis of a variety of different analytes. In this overview a series of applications of capture enhanced laser desorption ionization time of flight (CELDI-TOF) mass spectrometry are described. The key feature of the assay is an off-chip capture step that utilizes high affinity bacterial binding proteins to capture a selected ligand. This allows large volumes of sample to be used and provides for a concentration step prior to transfer to a gold chip for traditional mass spectral analysis. The approach can also be adapted to utilize specific antibody as the basis of the capture step. The direct and indirect CELDI-TOF assays are rapid, reproducible and can be a valuable proteomic tool for analysis of low abundance molecules present in complex mixtures like blood plasma.