Unraveling the secret lives of bacteria: use of in vivo expression technology and differential fluorescence induction promoter traps as tools for exploring niche-specific gene expression.

A major challenge for microbiologists is to elucidate the strategies deployed by microorganisms to adapt to and thrive in highly complex and dynamic environments. In vitro studies, including those monitoring genomewide changes, have proven their value, but they can, at best, mimic only a subset of the ensemble of abiotic and biotic stimuli that microorganisms experience in their natural habitats. The widely used gene-to-phenotype approach involves the identification of altered niche-related phenotypes on the basis of gene inactivation. However, many traits contributing to ecological performance that, upon inactivation, result in only subtle or difficult to score phenotypic changes are likely to be overlooked by this otherwise powerful approach. Based on the premise that many, if not most, of the corresponding genes will be induced or upregulated in the environment under study, ecologically significant genes can alternatively be traced using the promoter trap techniques differential fluorescence induction and in vivo expression technology (IVET). The potential and limitations are discussed for the different IVET selection strategies and system-specific variants thereof. Based on a compendium of genes that have emerged from these promoter-trapping studies, several functional groups have been distinguished, and their physiological relevance is illustrated with follow-up studies of selected genes. In addition to confirming results from largely complementary approaches such as signature-tagged mutagenesis, some unexpected parallels as well as distinguishing features of microbial phenotypic acclimation in diverse environmental niches have surfaced. On the other hand, by the identification of a large proportion of genes with unknown function, these promoter-trapping studies underscore how little we know about the secret lives of bacteria and other microorganisms.     

Adaptation of Pseudomonas fluorescens to the plant rhizosphere

Saprophytic Pseudomonas are common root-colonizing bacteria that can improve plant health. Efficient exploitation of these bacteria in agriculture requires knowledge of traits that enhance ecological performance in the rhizosphere. Here, I describe the development and application of a promoter-trapping technology (IVET) that enables the isolation of Pseudomonas fluorescens genes that show elevated levels of expression in the rhizosphere. Using IVET, 20 P. fluorescens genes were identified that are induced during rhizosphere colonization, and their patterns of expression were analysed in laboratory media and in the rhizosphere. Fourteen genes showed significant homology to sequences in GenBank that are involved in nutrient acquisition, stress response, or secretion; six showed no homology. Seven of the rhizosphere-induced ( rhi ) genes have homology to known non- Pseudomonas genes. One of the rhi genes ( hrcC ) is a component of a type III secretion pathway, not previously known in non-parasitic bacteria. Together, these genes provide a view of the rhizosphere environment as perceived by a rhizosphere colonist, and suggest that the nature of the association between P. fluorescens and the plant root may be more complex and intimate than previously thought.     

Pseudomonas putida 06909 genes expressed during colonization on mycelial surfaces and phenotypic characterization of mutants

AIMS: The main focus of this study was to gain an overall view of Pseudomonas putida 06909 genes involved in the Pseudomonas-Phytophthora interaction as a biological control mechanism, and to understand the roles of these genes. METHODS AND RESULTS: Sixteen Ps. putida genes with increased expression on Phytophthora mycelial surfaces were identified using in vivo expression technology (IVET) screening. Sequence analysis of these Phytophthora mycelium-induced (pmi) genes revealed that many of them display similarity to genes known or predicted to be involved in carbohydrate catabolism, energy metabolism, amino acid/nucleotide metabolism, and membrane transport processes. Disruption of three pmi genes encoding succinate semialdehyde dehydrogenase, a dicarboxylic acid transporter, and glyceraldehyde-3-phosphate dehydrogenase showed significant phenotypic differences involved in the colonization processes, including motility, biofilm formation on abiotic surfaces, colony morphology, and competitive colonization of fungal mycelia. All three of these pmi genes were induced by glycogen and other substances, such as organic acids and amino acids utilized by Ps. putida. CONCLUSIONS: The IVET screening and mutant characterization can be used to identify bacterial genes that are induced on the mycelial surface and provide insight into the possible mechanisms of mycelial colonization by this bacterium. SIGNIFICANCE AND IMPACT OF THE STUDY: The IVET screening through a bacterial genome library might be a huge task. However, because the genes involved in direct interaction with Phytophthora and in bacterial adaptation can be identified, the IVET system will be a valuable tool in studying biocontrol bacteria at the molecular and ecological levels.     

Expanding the known diversity and environmental distribution of cultured and uncultured bacteria

Microorganisms represent the largest component of biodiversity in our biosphere. Traditional methods of bacterial identification depend on their culture on laboratory media and the comparison of their phenotypic characteristics. They include cellular morphology, motility, staining reactions of cell walls, ability to grow on different media and biochemical tests. These methods have many limitations and only a very small fraction of microorganisms have been cultivated. To date, molecular methods based on 16S rRNA sequences and their phylogenetic analysis are widely used for reliable identification, particularly for hard-to-culture microbial pathogens. These so-called < molecular methods > do not require laboratory culture of isolated organisms, and many novel non-described phyla have been detected, improving our view of bacterial diversity. Novel strategies for culturing the < uncultivated > are now under development, which are leading to the complete characterization of these new bacteria. More recently, meta- or ecogenomics, based on the complete sequencing of clones containing cosmids or bacterial artificial chromosomes with inserts, addresses the genetic potential of a sample irrespective of whether the microorganisms can be cultured or not. This has considerably extended our view of microbial diversity at the genomic level and the probability of finding new genes and their products suitable for the biotechnological and pharmaceutical industry.     

Streptococcal reporter gene-fusion vector for identification of in vivo expressed genes.

To study streptococcal genes that are specifically induced in the host during endocarditis, we have developed a novel plasmid for use in in vivo expression technology (IVET). This IVET uses an integration plasmid, pAK36, that carries dual (amy-cat) reporter genes. A gene-fusion strain library was constructed with the plasmid randomly inserted into the chromosome of Streptococcus gordonii V288 by insertion-duplication. The library was inoculated intravenously into a rabbit that had been prepared for experimental endocarditis. Beginning 6 h after the inoculation, the rabbit was given chloramphenicol (Cm) intravenously twice a day to a final serum level of 5 microg/ml and was euthanized 3 days later. The aortic valve vegetations containing Cm(R) S. gordonii clones were cultured. Colonies were screened in vitro for negative amylase activity and sensitivity to Cm. Forty-eight such colonies showed 13 different insertion patterns when Southern hybridization blots were probed with labeled pAK36. For each of the 13 isolates, the gene fragment proximal to the insertion of the reporter amy-cat was cloned, and its nucleotide sequence was determined. Functions of these genes were inferred by their homology to known genes. Therefore, this novel IVET vector can be useful for identification of in vivo induced genes in S. gordonii and other streptococcal species.     

细菌毒力基因体内表达检测技术研究进展

病原菌入侵宿主是一个及其复杂的过程。为了深入了解病原菌的致病机理,人们需要鉴定那些在感染过程中特异表达的细菌毒力基因。为此,多种体内实验模型被建立起来分析细菌在宿主体内的基因表达,它们包括了体内表达技术、信号标签突变技术、差异荧光诱导、体外转座进行基因组分析和作图技术以及体内诱导抗原技术等。文章对目前运用的这些研究方法进展进行综述,并讨论了它们的优点与不足。     

Autozygome Sequencing Expands the Horizon of Human Knockout Research and Provides Novel Insights into Human Phenotypic Variation

The use of autozygosity as a mapping tool in the search for autosomal recessive disease genes is well established. We hypothesized that autozygosity not only unmasks the recessiveness of disease causing variants, but can also reveal natural knockouts of genes with less obvious phenotypic consequences. To test this hypothesis, we exome sequenced 77 well phenotyped individuals born to first cousin parents in search of genes that are biallelically inactivated. Using a very conservative estimate, we show that each of these individuals carries biallelic inactivation of 22.8 genes on average. For many of the 169 genes that appear to be biallelically inactivated, available data support involvement in modulating metabolism, immunity, perception, external appearance and other phenotypic aspects, and appear therefore to contribute to human phenotypic variation. Other genes with biallelic inactivation may contribute in yet unknown mechanisms or may be on their way to conversion into pseudogenes due to true recent dispensability. We conclude that sequencing the autozygome is an efficient way to map the contribution of genes to human phenotypic variation that goes beyond the classical definition of disease.     

Plant tagnology

Transposable elements have been used as an effective mutagen and as a tool to clone tagged genes. Insertion of a transposable element into a gene can lead to loss- or gain-of-function, changes in expression pattern, or can have no effect on gene function at all, depending on whether the insertion took place in coding or non-coding regions of the gene. Cloning transposable elements from different plant species has made them available as a tool for the isolation of tagged genes using homologous or heterologous tagging strategies. Based on these transposons, new elements have been engineered bearing reporter genes that can be used for expression analysis of the tagged gene, or resistance genes that can be used to select for knockout insertions. While many genes have been cloned using transposon tagging following traditional forward genetics strategies, gene cloning has ceased to be the rate-limiting step in the process of determining sequence–function relations in several important plant model species. Large-scale insertion mutagenesis and identification of insertion sites following a reverse genetics strategy appears to be the best method for unravelling the biological role of the thousands of genes with unknown functions identified by genome or expressed sequence tag (EST) sequencing projects. Here we review the progress in forward tagging technologies and discuss reverse genetics strategies and their applications in different model species.     

Environmental and nutritional effects on the epigenetic regulation of genes

Major efforts have been directed towards the identification of genetic mutations, their use as biomarkers, and the understanding of their consequences on human health and well-being. There is an emerging interest, however, in the possibility that environmentally-induced changes at levels other than the genetic information could have long-lasting consequences as well. This review summarises our current knowledge of how the environment, nutrition, and ageing affect the way mammalian genes are organised and transcribed, without changes in the underlying DNA sequence. Admittedly, the link between environment and epigenetics remains largely to be explored. However, recent studies indicate that environmental factors and diet can perturb the way genes are controlled by DNA methylation and covalent histone modifications. Unexpectedly, and not unlike genetic mutations, aberrant epigenetic alterations and their phenotypic effects can sometimes be passed on to the next generation.     

Genome-wide screens to identify genes of human pathogenic Yersinia species that are expressed during host infection

An obvious goal in the study of bacteria that cause human disease is to identify the bacterial genes required for growth within the host. Historically, this has presented a significant technological challenge. However, with this goal in mind, the in vivo expression technology (IVET) and signature-tagged mutagenesis (STM) techniques were developed during the 1990s. These techniques have been used to identify virulence genes in the three human pathogenic Yersinia species, Y. enterocolitica, Y. pseudotuberculosis and Y. pestis, using variations of their mouse models of infection. In this review, each of these studies is described individually, including the pertinent details of how each was done, and a brief discussion of the genes identified. In addition, the results of these IVET and STM screens are compared, and the striking lack of overlap between the genes identified is discussed. Most of these studies were only recently published, which means that there have been few follow-up studies on some of the novel virulence genes identified. However, the Y. enterocolitica hreP, rscR and psp genes have become the subject of further studies, which are also summarized here. Finally, I briefly describe the use of the genome-wide (but not in vivo) technology, subtractive hybridization, to identify Yersinia virulence genes.     

From population genetics to population genomics of forest trees: integrated population genomics approach

Early works by Altukhov and his associates on pine and spruce laid the foundation for Russian population genetic studies on tree species with the use of molecular genetic markers. In recent years, these species have become especially popular as nontraditional eukaryotic models for population and evolutionary genomic research. Tree species with large, cross-pollinating native populations, high genetic and phenotypic variation, growing in diverse environments and affected by environmental changes during hundreds of years of their individual development, are an ideal model for studying the molecular genetic basis of adaptation. The great advance in this field is due to the rapid development of population genomics in the last few years. In the broad sense, population genomics is a novel, fast-developing discipline, combining traditional population genetic approaches with the genomic level of analysis. Thousands of genes with known function and sometimes known genomic localization can be simultaneously studied in many individuals. This opens new prospects for obtaining statistical estimates for a great number of genes and segregating elements. Mating system, gene exchange, reproductive population size, population disequilibrium, interaction among populations, and many other traditional problems of population genetics can be now studied using data on variation in many genes. Moreover, population genomic analysis allows one to distinguish factors that affect individual genes, alleles, or nucleotides (such as, for example, natural selection) from factors affecting the entire genome (e.g., demography). This paper presents a brief review of traditional methods of studying genetic variation in forest tree species and introduces a new, integrated population genomics approach. The main stages of the latter are : (1) selection of genes, which are tentatively involved in variation of adaptive traits, by means of a detailed examination of the regulation and the expression of individual genes and genotypes, with subsequent determination of their complete allelic composition by direct nucleotide sequencing; (2) examination of the phenotypic effects of individual alleles by, e.g., association mapping; and (3) determining the frequencies of the selected alleles in natural population for identification of the adaptive variation pattern in the heterogeneous environment. Through decoding the phenotypic effects of individual alleles and identification of adaptive variation patterns at the population level, population genomics in the future will serve as a very helpful, efficient, and economical tool, essential for developing a correct strategy for conserving and increasing forests and other commercially valuable plant and animal species.     

From population genetics to population genomics of forest trees: Integrated population genomics approach

Early works by Altukhov and his associates on pine and spruce laid the foundation for Russian population genetic studies on tree species with the use of molecular genetic markers. In recent years, these species have become especially popular as nontraditional eukaryotic models for population and evolutionary genome-wide research. Tree species with large, cross-pollinating native populations, high genetic and phenotypic variation, growing in diverse environments and affected by environmental changes during hundreds of years of their individual development, are an ideal model for studying the molecular genetic basis of adaptation. The great advance in this field is due to the rapid development of population genomics in the last few years. In the broad sense, population genomics is a novel, fast-developing discipline, combining traditional population genetic approaches with the genome-wide level of analysis. Thousands of genes with known function and sometimes known genome-wide localization can be simultaneously studied in many individuals. This opens new prospects for obtaining statistical estimates for a great number of genes and segregating elements. Mating system, gene exchange, reproductive population size, population disequilibrium, interaction among populations, and many other traditional problems of population genetics can be now studied using data on variation in many genes. Moreover, population genome-wide analysis allows one to distinguish factors that affect individual genes, allelles, or nucleotides (such as, for example, natural selection) from factors affecting the entire genome (e.g., demography). This paper presents a brief review of traditional methods of studying genetic variation in forest tree species and introduces a new, integrated population genomics approach. The main stages of the latter are: (1) selection of genes, which are tentatively involved in variation of adaptive traits, by means of a detailed examination of the regulation and the expression of individual genes and genotypes, with subsequent determination of their complete allelic composition by direct nucleotide sequencing; (2) examination of the phenotypic effects of individual alleles by, e.g., association mapping; and (3) determining the frequencies of the selected alleles in natural population for identification of the adaptive variation pattern in the heterogeneous environment. Through decoding the phenotypic effects of individual alleles and identification of adaptive variation patterns at the population level, population genomics in the future will serve as a very helpful, efficient, and economical tool, essential for developing a correct strategy for conserving and increasing forests and other commercially valuable plant and animal species.     

Molecular approaches: advantages and artifacts in assessing bacterial diversity

Bacteria account for a major proportion of Earth’s biological diversity. They play essential roles in quite diverse environments and there has been an increasing interest in bacterial biodiversity. Research using novel and efficient tools to identify and characterize bacterial communities has been the key for elucidating biological activities with potential for industrial application. The current approach used for defining bacterial species is based on phenotypic and genomic properties. Traditional and novel DNA-based molecular methods are improving our knowledge of bacterial diversity in nature. Advances in molecular biology have been important for studies of diversity, considerably improving our knowledge of morphological, physiological, and ecological features of bacterial taxa. DNA–DNA hybridization, which has been used for many years, is still considered the golden standard for bacteria species identification. PCR-based methods investigating 16S rRNA gene sequences, and other approaches, such as the metagenome, have been used to study the physiology and diversity of bacteria and to identify novel genes with potential pharmaceutical and other biotechnological applications. We examined the advantages and limitations of molecular methods currently used to analyze bacterial diversity; these are mainly based on the 16S rRNA gene. These methods have allowed us to examine microorganisms that cannot be cultivated by routine methods and have also been useful for phylogenetic studies. We also considered the importance of improvements in microbe culture techniques and how we can combine different methods to allow a more appropriate assessment of bacterial diversity and to determine their real potential for industrial applications.     

A sibling-pair based approach for mapping genetic loci that influence quantitative measures of reading disability

Family and twin studies consistently demonstrate a significant role for genetic factors in the aetiology of the reading disorder dyslexia. However, dyslexia is complex at both the genetic and phenotypic levels, and currently the nature of the core deficit or deficits remains uncertain. Traditional approaches for mapping disease genes, originally developed for single-gene disorders, have limited success when there is not a simple relationship between genotype and phenotype. Recent advances in high-throughput genotyping technology and quantitative statistical methods have made a new approach to identifying genes involved in complex disorders possible. The method involves assessing the genetic similarity of many sibling pairs along the lengths of all their chromosomes and attempting to correlate this similarity with that of their phenotypic scores. We are adopting this approach in an ongoing genome-wide search for genes involved in dyslexia susceptibility, and have already successfully applied the method by replicating results from previous studies suggesting that a quantitative trait locus at 6p21.3 influences reading disability.     

Evolution of development in closely related species of flies and worms

One of the main challenges in evolutionary biology is to identify the molecular changes that underlie phenotypic differences that are of evolutionary significance. Comparative studies of early development have shown that changes in the spatio-temporal use of regulatory genes, as well as changes in the specificity of regulatory proteins, are correlated with important differences in morphology between phylogenetically distant species. However, it is not known how such changes take place in natural populations, and whether they result from a single, or many small, additive events. Extending this approach to the study of development of closely related species promises to enrich this debate.     

Use of in vivo expression technology to identify genes important in growth and survival of Pseudomonas fluorescens Pf0-1 in soil: discovery of expressed sequences with novel genetic organization

Studies were undertaken to determine the genetic needs for the survival of Pseudomonas fluorescens Pf0-1, a gram-negative soil bacterium potentially important for biocontrol and bioremediation, in soil. In vivo expression technology (IVET) identified 22 genes with elevated expression in soil relative to laboratory media. Soil-induced sequences included genes with probable functions of nutrient acquisition and use, and of gene regulation. Ten sequences, lacking similarity to known genes, overlapped divergent known genes, revealing a novel genetic organization at those soil-induced loci. Mutations in three soil-induced genes led to impaired early growth in soil but had no impact on growth in laboratory media. Thus, IVET studies have identified sequences important for soil growth and have revealed a gene organization that was undetected by traditional laboratory approaches.