Mining genomes and 'metagenomes' for novel catalysts

Advances in the field of genomics and 'metagenomics' have dramatically revised our view of microbial biodiversity and its potential for biotechnological applications. Considering the estimation that >99% of microorganisms in most environments are not amenable to culturing, very little is known about their genomes, genes and encoded enzymatic activities. The isolation, archiving and analysis of environmental DNA (or so-called 'metagenomes') has enabled us to mine microbial diversity, allowing us to access their genomes, identify protein coding sequences and even to reconstruct biochemical pathways, providing insights into the properties and functions of these organisms. The generation and analysis of (meta)genomic libraries is thus a powerful approach to harvest and archive environmental genetic resources. It will enable us to identify which organisms are present, what they do, and how their genetic information can be beneficial to mankind.     

Acclimation of Chlamydomonas reinhardtii to its nutrient environment

To cope with low nutrient availability in nature, organisms have evolved inducible systems that enable them to scavenge and efficiently utilize the limiting nutrient. Furthermore, organisms must have the capacity to adjust their rate of metabolism and make specific alterations in metabolic pathways that favor survival when the potential for cell growth and division is reduced. In this article I will focus on the acclimation of Chlamydomonas reinhardtii, a unicellular, eukaryotic green alga to conditions of nitrogen, sulfur and phosphorus deprivation. This organism has a distinguished history as a model for classical genetic analyses, but it has recently been developed for exploitation using an array of molecular and genomic tools. The application of these tools to the analyses of nutrient limitation responses (and other biological processes) is revealing mechanisms that enable Chlamydomonas to survive harsh environmental conditions and establishing relationships between the responses of this morphologically simple, photosynthetic eukaryote and those of both nonphotosynthetic organisms and vascular plants.     

杀虫剂抗性: 遗传学、基因组学及应用启示

杀虫剂抗性已成为害虫防治工作需要解决的一个重要问题,也是一种人为的、自然选择的重要的进化现象,开展抗药性的研究不仅为抗性的监测、治理和农药工业的发展提供科学参考,还可以揭示生物进化的一些基本规律。在过去的10年,昆虫对许多化学杀虫剂抗药性的分子基础得到了进一步阐明,已从果蝇Drosophila melanogaster中克隆了杀虫剂的靶标基因,还查明了一些害虫的与抗性相关联的基因突变。最近,随着经注释的昆虫基因组的出现,由复杂多基因酶系如酯酶、细胞色素P450酶及谷胱甘肽S-转移酶介导的抗性的机制有了突破性的进展,有关杀虫剂抗性的进化以及抗性基因的传播模式也逐步得到揭示。基因组技术在揭示昆虫其他可能的抗药性机制以及在发现新的杀虫剂靶标方面将发挥更大的作用。     

Identification of Hedysarum varieties using amplified fragment length polymorphism on a capillary electrophoresis system.

For non-model organisms that do not have sequence information readily available, amplified fragment length polymorphism (AFLP) is a well-established technique that can be used for genomic mapping applications such as genetic diversity studies or phylogenetic studies. While AFLP can be performed on a variety of systems, including gel-based systems that require multiple labor-intensive steps, the availability of a more automated system that integrates the assay, electrophoresis platform, and analysis software could enable researchers to greatly increase their throughput and facilitate routine AFLP analysis. We demonstrate the use of such a system for AFLP analysis on Hedysarum species. AFLP assays performed on samples belonging to two different species isolated from Utah identified different varieties that clustered as expected from their actual locations.     

HelmCoP: an online resource for helminth functional genomics and drug and vaccine targets prioritization

A vast majority of the burden from neglected tropical diseases result from helminth infections (nematodes and platyhelminthes). Parasitic helminthes infect over 2 billion, exerting a high collective burden that rivals high-mortality conditions such as AIDS or malaria, and cause devastation to crops and livestock. The challenges to improve control of parasitic helminth infections are multi-fold and no single category of approaches will meet them all. New information such as helminth genomics, functional genomics and proteomics coupled with innovative bioinformatic approaches provide fundamental molecular information about these parasites, accelerating both basic research as well as development of effective diagnostics, vaccines and new drugs. To facilitate such studies we have developed an online resource, HelmCoP (Helminth Control and Prevention), built by integrating functional, structural and comparative genomic data from plant, animal and human helminthes, to enable researchers to develop strategies for drug, vaccine and pesticide prioritization, while also providing a useful comparative genomics platform. HelmCoP encompasses genomic data from several hosts, including model organisms, along with a comprehensive suite of structural and functional annotations, to assist in comparative analyses and to study host-parasite interactions. The HelmCoP interface, with a sophisticated query engine as a backbone, allows users to search for multi-factorial combinations of properties and serves readily accessible information that will assist in the identification of various genes of interest. HelmCoP is publicly available at: http://www.nematode.net/helmcop.html.     

Crosstalk between plant responses to pathogens and herbivores: a view from the outside in

Plants encounter numerous pests and pathogens in the natural environment. An appropriate response to attack by such organisms can lead to tolerance or resistance mechanisms that enable the plant to survive. Many studies concentrate on the signalling pathways that enable plants to recognize and respond to attack, and measure the downstream effect in either biochemical or molecular terms. At the whole plant level, ecologists examine the fitness costs of attack not only for the plant but also over a range of trophic levels. The links between these differing levels of study are beginning to be addressed by the adoption of molecular approaches in more ecologically relevant settings. This review will describe the different approaches used by ecologists and cell biologists in this field and will try to address the question of how we can explore the response to, and consequences, of attack by multiple enemies.     

Origin of polar order in dense suspensions of phototactic micro-swimmers

A main question for the study of collective motion in living organisms is the origin of orientational polar order, i.e., how organisms align and what are the benefits of such collective behaviour. In the case of micro-organisms swimming at a low Reynolds number, steric repulsion and long-range hydrodynamic interactions are not sufficient to explain a homogeneous polar order state in which the direction of motion is aligned. An external symmetry-breaking guiding field such as a mechanism of taxis appears necessary to understand this phonemonon. We have investigated the onset of polar order in the velocity field induced by phototaxis in a suspension of a motile micro-organism, the algae Chlamydomonas reinhardtii, for density values above the limit provided by the hydrodynamic approximation of a force dipole model. We show that polar order originates from a combination of both the external guiding field intensity and the population density. In particular, we show evidence for a linear dependence of a phototactic guiding field on cell density to determine the polar order for dense suspensions and demonstrate the existence of a density threshold for the origin of polar order. This threshold represents the density value below which cells undergoing phototaxis are not able to maintain a homogeneous polar order state and marks the transition to ordered collective motion. Such a transition is driven by a noise dominated phototactic reorientation where the noise is modelled as a normal distribution with a variance that is inversely proportional to the guiding field strength. Finally, we discuss the role of density in dense suspensions of phototactic micro-swimmers.     

Association mapping with single-feature polymorphisms

We develop methods for exploiting "single-feature polymorphism" data, generated by hybridizing genomic DNA to oligonucleotide expression arrays. Our methods enable the use of such data, which can be regarded as very high density, but imperfect, polymorphism data, for genomewide association or linkage disequilibrium mapping. We use a simulation-based power study to conclude that our methods should have good power for organisms like Arabidopsis thaliana, in which linkage disequilibrium is extensive, the reason being that the noisiness of single-feature polymorphism data is more than compensated for by their great number. Finally, we show how power depends on the accuracy with which single-feature polymorphisms are called.     

Rapid visual genotyping method for germline mutants with small genomic fragment deletion by allele-specific PCR and lateral flow nucleic acid biosensor

Molecular Biology Reports - Genome-editing techniques incorporating artificial nucleases develop rapidly and enable efficient and precise modification of genomic DNA of numerous organisms. The...     

Bacteria that express lateral flagella enable dissection of the multifunctional roles of flagella in pathogenesis

Flagella are much more than organelles of locomotion and have multiple roles that contribute to pathogenesis. Bacteria, such as Vibrio parahaemolyticus and Aeromonas spp., that possess two distinct flagellar systems (a polar flagellum for swimming in liquid and lateral flagella for swarming over surfaces) are relatively uncommon and provide ideal models for the independent investigation of the contributions of these different types of motility and other flagellar functions to virulence and how they are controlled. Studies with the above organisms have already increased our understanding of how bacteria sense and colonize surfaces forming biofilms that enable them to survive and persist in hostile environments. These insights are helping to identify possible new targets for novel antimicrobials that will both prevent or disrupt these processes and enhance the effectiveness of existing antibiotics. Aeromonas lateral flagella, in addition to mediating swarming motility, appear to be adhesins in their own right, contribute to microcolony formation and efficient biofilm formation on surfaces, and possibly facilitate host cell invasion. It is, therefore, likely that the ability to express lateral flagella is a significant virulence determinant for the Aeromonas strains able to cause persistent and dysenteric infections in the gastrointestinal tract, but further work is needed to establish this.     

Genome wide survey and molecular modeling of hypothetical proteins containing 2Fe-2S and FMN binding domains suggests Rieske Dioxygenase Activity highlighting their potential roles in bioremediation

‘Conserved hypothetical’ proteins pose a challenge not just for functional genomics, but also to biology in general. As long as there are hundreds of conserved proteins with unknown function in model organisms such as Escherichia coli, Bacillus subtilis or Saccharomyces cerevisiae, any discussion towards a ‘complete’ understanding of these biological systems will remain a wishful thinking. Insilico approaches exhibit great promise towards attempts that enable appreciating the plausible roles of these hypothetical proteins. Among the majority of genomic proteins, two-thirds in unicellular organisms and more than 80% in metazoa, are multi-domain proteins, created as a result of gene duplication events. Aromatic ring-hydroxylating dioxygenases, also called Rieske dioxygenases (RDOs), are class of multi-domain proteins that catalyze the initial step in microbial aerobic degradation of many aromatic compounds. Investigations here address the computational characterization of hypothetical proteins containing Ferredoxin and Flavodoxin signatures. Consensus sequence of each class of oxidoreductase was obtained by a phylogenetic analysis, involving clustering methods based on evolutionary relationship. A synthetic sequence was developed by combining the consensus, which was used as the basis to search for their homologs via BLAST. The exercise yielded 129 multidomain hypothetical proteins containing both 2Fe-2S (Ferredoxin) and FNR (Flavodoxin) domains. In the current study, 17 proteins with N-terminus FNR domain and C-terminus 2Fe-2S domain are characterized, through homology modelling and docking exercises which suggest dioxygenase activity indicate their plausible roles in degradation of aromatic moieties.     

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.     

A genomic view of introgression and hybrid speciation

Hybridization in plants and animals is more common and has more complex outcomes than previously realized. Genome-wide analyses of introgression in organisms ranging from oaks to sunflowers to fruit flies show that a substantial fraction of their genomes are permeable to alleles from related species. Hybridization can lead to rapid genomic changes, including chromosomal rearrangements, genome expansion, differential gene expression, and gene silencing, some of which are mediated by transposable elements. These genomic changes may lead to beneficial new phenotypes, and selection for fertility and ecological traits may in turn alter genome structure. Dramatic increases in the availability of genomic tools will produce a new understanding of the genetic nature of species and will resolve a century-old debate over the basis of hybrid vigor, while the natural recombinants found in hybrid zones will permit genetic mapping of species differences and reproductive barriers in nonmodel organisms.     

Analysis of multi-domain hypothetical proteins containing iron-sulphur clusters and fad ligands reveal rieske dioxygenase activity suggesting their plausible roles in bioremediation

‘Conserved hypothetical’ proteins pose a challenge not just for functional genomics, but also to biology in general. As long as there are hundreds of conserved proteins with unknown function in model organisms such as Escherichia coli, Bacillus subtilis or Saccharomyces cerevisiae, any discussion towards a ‘complete’ understanding of these biological systems will remain a wishful thinking. Insilico approaches exhibit great promise towards attempts that enable appreciating the plausible roles of these hypothetical proteins. Among the majority of genomic proteins, two-thirds in unicellular organisms and more than 80% in metazoa, are multi-domain proteins, created as a result of gene duplication events. Aromatic ring-hydroxylating dioxygenases, also called Rieske dioxygenases (RDOs), are class of multi-domain proteins that catalyze the initial step in microbial aerobic degradation of many aromatic compounds. Investigations here address the computational characterization of hypothetical proteins containing Ferredoxin and Flavodoxin signatures. Consensus sequence of each class of oxidoreductase was obtained by a phylogenetic analysis, involving clustering methods based on evolutionary relationship. A synthetic sequence was developed by combining the consensus, which was used as the basis to search for their homologs via BLAST. The exercise yielded 129 multidomain hypothetical proteins containing both 2Fe-2S (Ferredoxin) and FNR (Flavodoxin) domains. In the current study, 40 proteins with N-terminus 2Fe-2S domain and C-terminus FNR domain are characterized, through homology modelling and docking exercises which suggest dioxygenase activity indicating their plausible roles in degradation of aromatic moieties.     

Mass spectrometric approaches for characterizing bacterial proteomes

The emergence of advanced liquid chromatography mass spectrometry technologies for characterizing very complex mixtures of proteins has greatly propelled the field of proteomics, the goal of which is the simultaneous examination of all the proteins expressed by an organism. This research area represents a paradigm shift in molecular biology by attempting to provide a top-down qualitative and quantitative view of all the proteins (including their modifications and interactions) that are essential for an organism's life cycle, rather than targeting a particular protein family. This level of global protein information about an organism such as a bacterium can be combined with genomic and metabolomic data to enable a systems biology approach for understanding how these organisms live and function.     

Mycobacterium du jour: what's on tomorrow's menu?

Tremendous resources are being directed towards fundamental and applied research on Mycobacterium tuberculosis. Concurrently, diseases caused by other, non-tuberculous mycobacteria (NTM), are on the rise in many settings. For many of these 'atypical mycobacteria', there is no genome sequence data and a limited understanding of their biology. Consequently, they are often felt to be 'ubiquitous' in the environment and that disease occurs largely independent of bacterial factors, in an immunocompromised host. As the distribution of these organisms in human and environmental samples is decidedly non-random, there is indirect evidence that exposure, infection and disease due to these organisms are in part determined by bacterial factors. Knowledge on how different mycobacterial species engage the host differently will help provide predictive information on the epidemiology and biology of infection with these organisms. Already, post-genomic study of M. avium has pointed to the existence of variable genomic regions that likely represent mycobacterial pathogenicity islands. An additional benefit of further genomic study of NTM will be the provision of an out-group to better appreciate M. tuberculosis, potentially explaining the sequence of genomic events that originally permitted an environmental mycobacterium to evolve into a host-associated pathogen.     

Cold-adapted bacteria and the globin case study in the Antarctic bacterium Pseudoalteromonas haloplanktis TAC125

Environmental oxygen availability may play an important role in the evolution of polar marine organisms, as suggested by the physiological and biochemical strategies adopted by these organisms to acquire, deliver and scavenge oxygen. Stress conditions such as extreme temperatures increase the production of reactive oxygen species (ROS) in cells. Thus, in order to prevent cellular damage, adjustments in antioxidant defences are needed to maintain the steady-state concentration of ROS. Cold-adapted bacteria are generally acknowledged to achieve their physiological and ecological success in cold environments through structural and functional properties developed in their genomes. A short overview on the molecular adaptations of polar bacteria and in particular on the biological function of oxygen-binding proteins in Pseudoalteromonas haloplanktis TAC125, selected as a model, will be provided together with the role of oxygen and oxidative/nitrosative stress in regulating adaptive responses at cellular and molecular levels.