In silico comparison of bacterial strains using mutual information

Fast-sequencing throughput methods have increased the number of completely sequenced bacterial genomes to about 400 by December 2006, with the number increasing rapidly. These include several strains. In silico methods of comparative genomics are of use in categorizing and phylogenetically sorting these bacteria. Various word-based tools have been used for quantifying the similarities and differences between entire genomes. The simple di-nucleotide frequency comparison, codon specificity and k-mer repeat detection are among some of the well-known methods. In this paper, we show that the Mutual Information function, which is a measure of correlations and a concept from Information Theory, is very effective in determining the similarities and differences among genome sequences of various strains of bacteria such as the plant pathogen Xylella fastidiosa, marine Cyanobacteria Prochlorococcus marinus or animal and human pathogens such as species of Ehrlichia and Legionella. The short-range three-base periodicity, small sequence repeats and long-range correlations taken together constitute a genome signature that can be used as a technique for identifying new bacterial strains with the help of strains already catalogued in the database. There have been several applications of using the Mutual Information function as a measure of correlations in genomics but this is the first whole genome analysis done to detect strain similarities and differences.     

<Emphasis Type="Italic">In silico</Emphasis> comparison of bacterial strains using mutual information

Fast-sequencing throughput methods have increased the number of completely sequenced bacterial genomes to about 400 by December 2006, with the number increasing rapidly. These include several strains. In silico methods of comparative genomics are of use in categorizing and phylogenetically sorting these bacteria. Various word-based tools have been used for quantifying the similarities and differences between entire genomes. The simple di-nucleotide frequency comparison, codon specificity and k-mer repeat detection are among some of the well-known methods.In this paper, we show that the Mutual Information function, which is a measure of correlations and a concept from Information Theory, is very effective in determining the similarities and differences among genome sequences of various strains of bacteria such as the plant pathogen Xylella fastidiosa, marine Cyanobacteria Prochlorococcus marinus or animal and human pathogens such as species of Ehrlichia and Legionella. The short-range three-base periodicity, small sequence repeats and long-range correlations taken together constitute a genome signature that can be used as a technique for identifying new bacterial strains with the help of strains already catalogued in the database.There have been several applications of using the Mutual Information function as a measure of correlations in genomics but this is the first whole genome analysis done to detect strain similarities and differences.     

Bacterial population genomics and infectious disease diagnostics

New sequencing technologies have made the production of bacterial genome sequences increasingly easy, and it can be confidently forecasted that vast genomic databases will be generated in the next few years. Here, we detail how collections of bacterial genomes from a particular species (population genomics libraries) have already been used to improve the design of several diagnostic assays for bacterial pathogens. Genome sequencing itself is also becoming more commonly used for epidemiological, forensic and clinical investigations. There is an opportunity for the further development of bioinformatic tools to bring even further value to bacterial diagnostic genomics.     

Plant genomics in Africa: present and prospects

Plants are the world’s most consumed goods. They are of high economic value and bring many health benefits. In most countries in Africa, the supply and quality of food will rise to meet the growing population’s increasing demand. Genomics and other biotechnology tools offer the opportunity to improve subsistence crops and medicinal herbs in the continent. Significant advances have been made in plant genomics, which have enhanced our knowledge of the molecular processes underlying both plant quality and yield. The sequencing of complex genomes of African plant species, facilitated by the continuously evolving next-generation sequencing technologies and advanced bioinformatics approaches, has provided new opportunities for crop improvement. This review summarizes the achievements of genome sequencing projects of endemic African plants in the last two decades. We also present perspectives and challenges for future plant genomic studies that will accelerate important plant breeding programs for African communities. These challenges include a lack of basic facilities, a lack of sequencing and bioinformatics facilities, and a lack of skills to design genomics studies. However, it is imperative to state that African countries have become key players in the plant genome revolution and genome derived-biotechnology. Therefore, African governments should invest in public plant genomics research and applications, establish bioinformatics platforms and training programs, and stimulate university and industry partnerships to fully deploy plant genomics, particularly in the fields of agriculture and medicine.     

Genetics and genomics of root symbiosis.

Model genetics and genomics have been developed as tools for studying the third largest family of flowering plants, the Leguminosae, which includes important crop plants. Functional genomics strategies for the global analysis of gene expression, the elucidation of pathways and reverse genetics are established. These approaches provide new possibilities for investigating rhizobial as well as mycorrhizal endosymbiosis. Plant genes with central functions in these mutualistic interactions have been identified by positional cloning and gene tagging. With progress in Lotus japonicus genome sequencing, which was recently initiated by Japanese researchers, comparative genomics will contribute to our understanding of symbiosis, pathogenesis and the evolution of plant genomes.     

Computational genomics

We now know how to read the sequences of nucleotide letters that comprise the genome at a rather frightening speed--a several-million-base bacterial genome in several days is not a problem for one of the sequencing centers, and a billion-base eukaryotic genome can be done in less than a year. But reading a text and understanding it are two different things. So how well can we understand the genome sequences? The answer to this question is central to the whole enterprise of genomics, and this is where computational analysis of genomes takes the driver's seat. Here I will try to briefly outline some major goals, problems, challenges and approaches of computational genomics. Such a young field is already quite diverse, and in this short article I will concentrate on several issues that seen to be critical for deciphering biology from genome sequences, rather than mathematical and computer-science aspects that are well covered in several excellent books.     

Functional genomics of bacterial pathogens: from post-genomics to therapeutic targets

A wealth of new data have become available to the scientific community as a result of the sequencing of many pathogen genomes. A recent meeting devoted to functional genomics of pathogenic microorganisms confirmed the notion that bacterial genomes are not static, because large blocks of genes can be acquired or deleted. Less complex environments usually result in reduction in genome size, while genome expansion is usually associated with environmental change and complexity. During the meeting, pathogenicity and evolutionary aspects were illustrated for enteric pathogens, as well as the microevolution of the plague bacillus Yersinia pestis. New clues for evolution and pathogenicity were derived from comparative genomics of Listeria species. The genomic organization of Bartonellae, an emerging human pathogen, was also discussed in an evolutionary context. Population and functional genomics of Anthrax-causing bacteria highlighted current scientific interest in this potential biothreat.     

Bacterial pathogen evolution: breaking news

The immense social and economic impact of bacterial pathogens, from drug-resistant infections in hospitals to the devastation of agricultural resources, has resulted in major investment to understand the causes and consequences of pathogen evolution. Recent genome sequencing projects have provided insight into the evolution of bacterial genome structures; revealing the impact of mobile DNA on genome restructuring and pathogenicity. Sequencing of multiple genomes of related strains has enabled the delineation of pathogen evolution and facilitated the tracking of bacterial pathogens globally. Other recent theoretical and empirical studies have shown that pathogen evolution is significantly influenced by ecological factors, such as the distribution of hosts within the environment and the effects of co-infection. We suggest that the time is ripe for experimentalists to use genomics in conjunction with evolutionary ecology experiments to further understanding of how bacterial pathogens evolve.     

Genome evolution in fungal plant pathogens: looking beyond the two-speed genome model

The interaction of pathogens with their hosts creates strong reciprocal selection pressures. Pathogens often deploy an arsenal of small proteins called effectors that manipulate the plant immune system and promote disease. In the post-genomics era, a major interest has been to understand what shapes the localization of effector genes in pathogen genomes. The two-speed genome model originated with the discovery of repeat-rich and gene-sparse genome compartments with an over-representation of effector-like genes in a subset of plant pathogens. These highly polymorphic genome compartments are thought to create unique niches for effector genes and facilitate rapid adaptation. Research over the past decade has revealed a number of twists to the two-speed genome model and raised questions about the universality among plant pathogens. Here, we critically review the foundations of the two-speed model by presenting recent work on epigenetics, transposable element dynamics, and population genetics. Numerous examples have demonstrated that the location of effector genes in rapidly evolving compartments has created key adaptations. However, recent evidence suggests that the two-speed genome is unlikely to have evolved to specifically benefit the plant pathogen lifestyle. We propose that fundamental drivers of eukaryotic genome evolution have shaped both pathogen and non-pathogen genomes alike. An evolutionary genomics perspective on the two-speed genome model will open up fruitful new research avenues.     

From bacterial genomics to metagenomics: concept,tools and recent advances

In the last 20 years, the applications of genomics tools have completely transformed the field of microbial research. This has primarily happened due to revolution in sequencing technologies that have become available today. This review therefore, first describes the discoveries, upgradation and automation of sequencing techniques in a chronological order, followed by a brief discussion on microbial genomics. Some of the recently sequenced bacterial genomes are described to explain how complete genome data is now being used to derive interesting findings. Apart from the genomics of individual microbes, the study of unculturable microbiota from different environments is increasingly gaining importance. The second section is thus dedicated to the concept of metagenomics describing environmental DNA isolation, metagenomic library construction and screening methods to look for novel and potentially important genes, enzymes and biomolecules. It also deals with the pioneering studies in the area of metagenomics that are offering new insights into the previously unappreciated microbial world. The authors have contributed equally to the work     

Bacterial genomes: evolution of pathogenicity

Bacterial pathogens continue to pose a major threat to economically important plant resources. Disease outbreaks can occur through rapid evolution of a pathogen to overcome host defences. The advent of genome sequencing, especially next-generation technologies, has seen a revolution in the study of plant pathogen evolution over the past five years. This review highlights recent developments in understanding bacterial plant pathogen evolution, enabled by genomics and specifically focusing on type III protein effectors. The genotypic changes and mechanisms involved in pathogen evolution are now much better understood. However, there is still much to be learned about the drivers of pathogen evolution, both in terms of plant resistance and bacterial lifestyle.     

Schistosoma comparative genomics: integrating genome structure, parasite biology and anthelmintic discovery

Schistosoma genomes provide a comprehensive resource for identifying the molecular processes that shape parasite evolution and for discovering novel chemotherapeutic or immunoprophylactic targets. Here, we demonstrate how intragenus and intergenus comparative genomics can be used to drive these investigations forward, illustrate the advantages and limitations of these approaches and review how post-genomic technologies offer complementary strategies for genome characterisation. Although sequencing and functional characterisation of other schistosome/platyhelminth genomes continues to expedite anthelmintic discovery, we contend that future priorities should equally focus on improving assembly quality, and chromosomal assignment, of existing schistosome/platyhelminth genomes.     

The reactive oxygen species network pathways: an essential prerequisite for perception of pathogen attack and the acquired disease resistance in plants

Availability of complete Arabidopsis(Arabidopsis thaliana) and rice(Oryza sativa) genome sequences, together with molecular recourses of functional genomics and proteomics have revolutionized our understanding of reactive oxygen species (ROS) signalling network mediating disease resistance in plants. So far, ROS have been associated with aging, cellular and molecular alteration in animal and plant cells. Recently, concluding evidences suggest that ROS network is essential to induce disease resistance and even to mediate resistance to multiple stresses in plants. ROS are obligatory by-products emerging as a result of normal metabolic reactions. They have the potential to be both beneficial and harmful to cellular metabolism. Their dual effects on metabolic reactions are dosage specific. In this review we focus our attention on cellular ROS level to trigger beneficial effects on plant cells responding to pathogen attack. By exploring the research related contributions coupled with data of targeted gene disruption, and RNA interference approaches, we show here that ROS are ubiquitous molecules of redox-pathways that play a crucial role in plant defence mechanism. The molecular prerequisites of ROS network to activate plant defence system in response to pathogen infections are here underlined. Bioinformatic tools are now available to scientists for high throughput analysis of cellular metabolisms. These tools are used to illustrate crucial ROS-related genes that are involved in the defence mechanism of plants. The review describes also the emerging findings of ROS network pathways to modulate multiple stress resistance in plants.     

New strategies and approaches for engineering biosynthetic gene clusters of microbial natural products

With the rapidly growing number of sequenced microbial (meta)genomes, enormous cryptic natural product (NP) biosynthetic gene clusters (BGCs) have been identified, which are regarded as a rich reservoir for novel drug discovery. A series of powerful tools for engineering BGCs has accelerated the discovery and development of pharmaceutically active NPs. Here, we describe recent advances in the strategies for BGCs manipulation, which are driven by emerging technologies, including efficient DNA recombination systems, versatile CRISPR/Cas9 genome editing tools and diverse DNA assembly methods. We further discuss how these approaches could be used for genome mining studies and industrial strain improvement.     

Microbial genomes

Microbial genome sequencing is driven by the need to understand and control pathogens and to exploit extremophiles and their enzymes in bioremediation and industry. It is hard for the traditional bacteriologist to grasp the scale and pace of the venture. Around two dozen microbial genomes have now been completed and, within a decade, genomes from every significant species of bacterial pathogen of humans, animals and plants will have been sequenced. Indeed, we will often have more than one sequence from a species or genus--for example, we already have sequences from two strains of Helicobacter pylori, from two strains of Mycobacterium tuberculosis and from three species of Pyrococcus. However, genome sequencing risks becoming expensive molecular stamp-collecting without the tools to mine the data and fuel hypothesis-driven laboratory-based research. Bioinformatics, twinned with the new experimental approaches forming functional genomics', provides some of the needed tools. Nonetheless, there will be an increasing need for us to explore the detailed implications of genomic findings. Microbial genome sequencing thus represents not a threat, but an exciting opportunity for molecular microbiologists.     

The microbial pan-genome

A decade after the beginning of the genomic era, the question of how genomics can describe a bacterial species has not been fully addressed. Experimental data have shown that in some species new genes are discovered even after sequencing the genomes of several strains. Mathematical modeling predicts that new genes will be discovered even after sequencing hundreds of genomes per species. Therefore, a bacterial species can be described by its pan-genome, which is composed of a "core genome" containing genes present in all strains, and a "dispensable genome" containing genes present in two or more strains and genes unique to single strains. Given that the number of unique genes is vast, the pan-genome of a bacterial species might be orders of magnitude larger than any single genome.     

Bacterial genomics

Abstract: During the last decade, great advances have been made in the study of bacterial genomes which is perhaps better described by the term bacterial genomics. The application of powerful techniques, such as pulsed-field gel electrophoresis of macro-restriction fragments of genomic DNA, has freed the characterisation of the chromosomes of many bacteria from the constraints imposed by classical genetic analysis. It is now possible to analyse the genome of virtually every microorganism by direct molecular methods and to construct detailed physical and gene maps. In this review, the various practical approaches are compared and contrasted, and some of the emerging themes of bacterial genomics, such as the size, shape, number and organisation of chromosomes are discussed.     

Application of TILLING and EcoTILLING as Reverse Genetic Approaches to Elucidate the Function of Genes in Plants and Animals

With the fairly recent advent of inexpensive, rapid sequencing technologies that continue to improve sequencing efficiency and accuracy, many species of animals, plants, and microbes have annotated genomic information publicly available. The focus on genomics has thus been shifting from the collection of whole sequenced genomes to the study of functional genomics. Reverse genetic approaches have been used for many years to advance from sequence data to the resulting phenotype in an effort to deduce the function of a gene in the species of interest. Many of the currently used approaches (RNAi, gene knockout, site-directed mutagenesis, transposon tagging) rely on the creation of transgenic material, the development of which is not always feasible for many plant or animal species. TILLING is a non-transgenic reverse genetics approach that is applicable to all animal and plant species which can be mutagenized, regardless of its mating / pollinating system, ploidy level, or genome size. This approach requires prior DNA sequence information and takes advantage of a mismatch endonuclease to locate and detect induced mutations. Ultimately, it can provide an allelic series of silent, missense, nonsense, and splice site mutations to examine the effect of various mutations in a gene. TILLING has proven to be a practical, efficient, and an effective approach for functional genomic studies in numerous plant and animal species. EcoTILLING, which is a variant of TILLING, examines natural genetic variation in populations and has been successfully utilized in animals and plants to discover SNPs including rare ones. In this review, TILLING and EcoTILLING techniques, beneficial applications and limitations from plant and animal studies are discussed.Key Words: Reverse genetics, functional genomics, TILLING (target induced local lesions in genomes), EcoTILLING (Ecotype TILLING), sequencing, SNP (single nucleotide polymorphism), genetic stocks.