Elements in microbial evolution

Spontaneous mutation, selection, and isolation are key elements in biological evolution. Molecular genetic approaches reveal a multitude of different mechanisms by which spontaneous mutants arise. Many of these mechanisms depend on enzymes, which often do not act fully at random on the DNA, although a large number of sites of action can be observed. Of particular interest in this respect are DNA rearrangement processes, e.g., by transposition and by site-specific recombination systems. The development of gene functions has thus to be seen as the result of both DNA rearrangement processes and sequence alterations brought about by nucleotide substitutions and small local deletions, insertions, and duplications. Prokaryotic microorganisms are particularly appropriate for studying the effects of spontaneous mutation and thus microbial evolution, as they have haploid genomes, so that genetic alterations become rapidly apparent phenotypically. In addition, bacteria and their viruses and plasmids have relatively small genomes and short generation times, which also facilitate research on evolutionary processes. Besides the strategy of development of gene functions in the vertical transmission of genomes from generation to generation, the acquisition of short DNA segments from other organisms appears to be an important strategy in microbial evolution. In this process of horizontal evolution natural vector DNA molecules are often involved. Because of acquisition barriers, the acquisition strategy works best for relatively small DNA segments, hence at the level of domains, single genes, or at most operons. Among the many enzymes and functional systems involved in vertical and horizontal microbial evolution, some may serve primarily for essential life functions in each individual and only secondarily contribute to evolution.(ABSTRACT TRUNCATED AT 250 WORDS)     

A taxonomy of biological information

Reproduction, and thus information transfer across generations, is the most essential process of life, yet biologists lack a consensus on terms to define biological information. Unfortunately, multiple definitions of the same terms and other disagreements have long inhibited the development of a general framework for integrating the various categories of biological information. Currently, the only consensus is over two general categories, genetic information, which is encoded in DNA, and non‐genetic information, which is extracted from the environment. Non‐genetic information is the key to understanding gene‐environment interactions and is the raw material of fields such as developmental plasticity, behavior, communication, social learning and cultural evolution. In effect, differences in information possessed by individuals produce phenotypic variation. We thus define biological information as ‘factors that can affect the phenotype in ways that may influence fitness’. This definition encompasses all information that is potentially relevant to organisms, which includes the physical environment. Biological information can be acquired passively from genes or via processes such as epigenetics, parental effects and habitat inheritance, or actively by organisms sensing facts about their environment. The confusion over definitions mainly concerns non‐genetic information, which takes many more forms than genetic information. Much of the confusion derives from definitions based on how information is used rather than on the facts from which it is extracted. We recognize that a fact becomes information once it is detected. Information can thus be viewed analogously to energy in being either potential or realized. Another source of confusion is in the use of words outside their usual meanings. We therefore present intuitive definitions and classify them according to categories of facts in a hierarchical framework. Clarifying these concepts and terms may help researchers to manipulate facts, allowing a fuller study of biological information.     

Quantum microbiology

During his famous 1943 lecture series at Trinity College Dublin, the reknown physicist Erwin Schrodinger discussed the failure and challenges of interpreting life by classical physics alone and that a new approach, rooted in Quantum principles, must be involved. Quantum events are simply a level of organization below the molecular level. This includes the atomic and subatomic makeup of matter in microbial metabolism and structures, as well as the organic, genetic information code of DNA and RNA. Quantum events at this time do not elucidate, for example, how specific genetic instructions were first encoded in an organic genetic code in microbial cells capable of growth and division, and its subsequent evolution over 3.6 to 4 billion years. However, due to recent technological advances, biologists and physicists are starting to demonstrate linkages between various quantum principles like quantum tunneling, entanglement and coherence in biological processes illustrating that nature has exerted some level quantum control to optimize various processes in living organisms. In this article we explore the role of quantum events in microbial processes and endeavor to show that after nearly 67 years, Schr?dinger was prophetic and visionary in his view of quantum theory and its connection with some of the fundamental mechanisms of life.     

Inferring evolutionary processes from phylogenies

Evolutionary processes shape the regular trends of evolution and are responsible for the diversity and distribution of contemporary species. They include correlated evolutionary change and trajectories of trait evolution, convergent and parallel evolution, differential rates of evolution, speciation and extinction, the order and direction of change in characters, and the nature of the evolutionary process itself—does change accumulate gradually, episodically, or in punctuational bursts. Phylogenies, in combination with information on species, contain the imprint of these historical evolutionary processes. By applying comparative methods based upon statistical models of evolution to well resolved phylogenies, it is possible to infer the historical evolutionary processes that must have existed in the past, given the patterns of diversity seen in the present. I describe a set of maximum likelihood statistical methods for inferring such processes. The methods estimate parameters of statistical models for inferring correlated evolutionary change in continuously varying characters, for detecting correlated evolution in discrete characters, for estimating rates of evolution, and for investigating the nature of the evolutionary process itself. They also anticipate the wealth of information becoming available to biological scientists from genetic studies that pin down relationships among organisms with unprecedented accuracy.     

Gene products with evolutionary functions

It is often tacitly assumed that all gene products serve the needs of life functions of the individual carrying the genome. However, a close look at the formation of genetic variations, which are the drivers of biological evolution, reveals a different view. While a majority of the products of genes, such as housekeeping genes and genes essential for each individual, when exposed to particular life conditions respond to the definition given above, other gene products clearly carry out evolutionary functions at the level of populations. Products of these evolution genes act as generators of genetic variations and/or as modulators of the frequency of genetic variation. This is most readily seen with bacterial populations. Many different mechanisms contribute to the occasional, overall formation of genetic variations. These mechanisms can be grouped into three mechanistically and qualitatively different strategies of generating genetic variations. In addition to the activities of evolution genes, specific properties of matter such as tautomery also contribute to the formation of genetic variations. The views that nature cares actively for biological evolution are documented by evidence taken mainly from microbial genetics. Essential elements of the theory of molecular evolution are discussed, as well as the relevance of this theory for higher organisms and its impact on our worldview.     

Choosing the right molecular genetic markers for studying biodiversity: from molecular evolution to practical aspects

The use of molecular genetic markers (MGMs) has become widespread among evolutionary biologists, and the methods of analysis of genetic data improve rapidly, yet an organized framework in which scientists can work is lacking. Elements of molecular evolution are summarized to explain the origin of variation at the DNA level, its measures, and the relationships linking genetic variability to the biological parameters of the studied organisms. MGM are defined by two components: the DNA region(s) screened, and the technique used to reveal its variation. Criteria of choice belong to three categories: (1) the level of variability, (2) the nature of the information (e.g. dominance vs. codominance, ploidy, ... ) which must be determined according to the biological question and (3) some practical criteria which mainly depend on the equipment of the laboratory and experience of the scientist. A three-step procedure is proposed for drawing up MGMs suitable to answer given biological questions, and compiled data are organized to guide the choice at each step: (1) choice, determined by the biological question, of the level of variability and of the criteria of the nature of information, (2) choice of the DNA region and (3) choice of the technique.     

Ancient DNA

DNA that has been recovered from archaeological and palaeontological remains makes it possible to go back in time and study the genetic relationships of extinct organisms to their contemporary relatives. This provides a new perspective on the evolution of organisms and DNA sequences. However, the field is fraught with technical pitfalls and needs stringent criteria to ensure the reliability of results, particularly when human remains are studied.     

Change Is Good: Variations in Common Biological Mechanisms in the Epsilonproteobacterial Genera Campylobacter and Helicobacter

Summary: Microbial evolution and subsequent species diversification enable bacterial organisms to perform common biological processes by a variety of means. The epsilonproteobacteria are a diverse class of prokaryotes that thrive in diverse habitats. Many of these environmental niches are labeled as extreme, whereas other niches include various sites within human, animal, and insect hosts. Some epsilonproteobacteria, such as Campylobacter jejuni and Helicobacter pylori, are common pathogens of humans that inhabit specific regions of the gastrointestinal tract. As such, the biological processes of pathogenic Campylobacter and Helicobacter spp. are often modeled after those of common enteric pathogens such as Salmonella spp. and Escherichia coli. While many exquisite biological mechanisms involving biochemical processes, genetic regulatory pathways, and pathogenesis of disease have been elucidated from studies of Salmonella spp. and E. coli, these paradigms often do not apply to the same processes in the epsilonproteobacteria. Instead, these bacteria often display extensive variation in common biological mechanisms relative to those of other prototypical bacteria. In this review, five biological processes of commonly studied model bacterial species are compared to those of the epsilonproteobacteria C. jejuni and H. pylori. Distinct differences in the processes of flagellar biosynthesis, DNA uptake and recombination, iron homeostasis, interaction with epithelial cells, and protein glycosylation are highlighted. Collectively, these studies support a broader view of the vast repertoire of biological mechanisms employed by bacteria and suggest that future studies of the epsilonproteobacteria will continue to provide novel and interesting information regarding prokaryotic cellular biology.     

Increased transmission of mutations by low-condition females: evidence for condition-dependent DNA repair

Evidence is mounting that mutation rates are sufficiently high for deleterious alleles to be a major evolutionary force affecting the evolution of sex, the maintenance of genetic variation, and many other evolutionary phenomena. Though point estimates of mutation rates are improving, we remain largely ignorant of the biological factors affecting these rates at the individual level. Of special importance is the possibility that mutation rates are condition-dependent with low-condition individuals experiencing more mutation. Theory predicts that such condition dependence would dramatically increase the rate at which populations adapt to new environments and the extent to which populations suffer from mutation load. Despite its importance, there has been little study of this phenomenon in multicellular organisms. Here, we examine whether DNA repair processes are condition-dependent in Drosophila melanogaster. In this species, damaged DNA in sperm can be repaired by maternal repair processes after fertilization. We exposed high- and low-condition females to sperm containing damaged DNA and then assessed the frequency of lethal mutations on paternally derived X chromosomes transmitted by these females. The rate of lethal mutations transmitted by low-condition females was 30% greater than that of high-condition females, indicating reduced repair capacity of low-condition females. A separate experiment provided no support for an alternative hypothesis based on sperm selection.     

Bacterial evolution and silicon

This review examines the possible role of silicon in molecular evolution. It is possible silicon participated in early molecular evolution by providing a stable mineral surface or gel structure where the assembly and replication of primitive genetic information occurred. However, as molecular evolution proceeded, silicon was not required in the evolution of C-based organisms. Silicon can be accumulated by diatoms and other living organisms such as silicoflagellates, some xanthophytes, radiolarians and actinopods and plants such as grasses, ferns, horseradish, some trees and flowers, some sponges, insects and invertebrates and bacteria and fungi. Silicon also has a role in synthesis of DNA, DNA polymerase and thymidylate kinase activity in diatoms. It is not unreasonable to examine the role of silicon in early molecular evolution as it may have been part of a micro-environment in which assembly of genetic information occurred.     

A Third Link connecting Aging with Double Strand Break Repair

Until recently, the connection between aging and DNA repair has rested on two classes of observation. First, DNA damage and unrepaired double-strand breaks (DSBs) accumulate with age. Second, several defects in DNA repair genes are associated with early onset of age-related diseases and other signs of premature aging. Now, a third link has emerged: The mechanisms by which cells repair DSB damage can change dramatically with age, shifting from simpler end-joining processes in younger organisms to homologous mechanisms in which missing genetic information is restored through use of a template. So far this third link between aging and DNA repair has only been observed in a small number of experimental systems, and cannot yet claim the generality of the other two. Here we review the evidence for this phenomenon and present new data testing models for the underlying causes. If the generality of age-related changes in DSB repair pathway usage can be established, it will provide a new insight into the underlying molecular basis of aging and how evolution has shaped these processes.     

Genetic variation: molecular mechanisms and impact on microbial evolution

On the basis of established knowledge of microbial genetics one can distinguish three major natural strategies in the spontaneous generation of genetic variations in bacteria. These strategies are: (1) small local changes in the nucleotide sequence of the genome, (2) intragenomic reshuffling of segments of genomic sequences and (3) the acquisition of DNA sequences from another organism. The three general strategies differ in the quality of their contribution to microbial evolution. Besides a number of non-genetic factors, various specific gene products are involved in the generation of genetic variation and in the modulation of the frequency of genetic variation. The underlying genes are called evolution genes. They act for the benefit of the biological evolution of populations as opposed to the action of housekeeping genes and accessory genes which are for the benefit of individuals. Examples of evolution genes acting as variation generators are found in the transposition of mobile genetic elements and in so-called site-specific recombination systems. DNA repair systems and restriction-modification systems are examples of modulators of the frequency of genetic variation. The involvement of bacterial viruses and of plasmids in DNA reshuffling and in horizontal gene transfer is a hint for their evolutionary functions. Evolution genes are thought to undergo biological evolution themselves, but natural selection for their functions is indirect, at the level of populations, and is called second-order selection. In spite of an involvement of gene products in the generation of genetic variations, evolution genes do not programmatically direct evolution towards a specific goal. Rather, a steady interplay between natural selection and mixed populations of genetic variants gives microbial evolution its direction.     

DNA Repair Functions in Heterologous Cells

Abstract

Our genetic information is constantly challenged by exposure to endogenous and exogenous DNA-damaging agents, by DNA polymerase errors, and thereby inherent instability of the DNA molecule itself. The integrity of our genetic information is maintained by numerous DNA repair pathways, and the importance of these pathways is underscored by their remarkable structural and functional conservation across the evolutionary spectrum. Because of the highly conserved nature of DNA repair, the enzymes involved in this crucial function are often able to function in heterologous cells; as an example, the E. coli Ada DNA repair methyltransferase functions efficiently in yeast, in cultured rodent and human cells, in transgenic mice, and in ex vivo-modified mouse bone marrow cells. The heterologous expression of DNA repair functions has not only been used as a powerful cloning strategy, but also for the exploration of the biological and biochemical features of numerous enzymes involved in DNA repair pathways. In this review we highlight examples where the expression of DNA repair enzymes in heterologous cells was used to address fundamental questions about DNA repair processes in many different organisms.     

Safe biotechnology 10: DNA content of biotechnological process waste. The Safety in Biotechnology Working Party of the European Federation of Biotechnology

The adequacy of the existing treatment, disposal and recycling processes of waste streams from biotechnological laboratories and industrial processes, especially those using genetically modified microorganisms, have been repeatedly discussed. Here, we focus on the discussions linked to the DNA content of these wastes, the properties of extracellular (or 'naked') DNA and the ability to transfer genetic information between bacteria (e.g. antibiotic resistances) or into higher organisms.     

Sumoylating and desumoylating enzymes at nuclear pores: underpinning their unexpected duties?

Modulation of protein activities by SUMO-dependent modification has emerged as a key feature of cellular regulation. Evidence of the localization of different enzymes of the sumoylation-desumoylation cycle at nuclear pore complexes (NPCs), and of its biological relevance, has steadily accumulated over the past ten years. Recent findings indicate that, beyond nucleocytoplasmic transport, sumoylation processes underpin newly emerging, and initially unexpected, roles for NPCs in a broad array of biological functions. These include cell division, DNA repair, DNA replication and mRNA quality control. Most of these functions were initially discovered through genetic studies in budding yeast, but the localization of SUMO-proteases at NPCs in higher eukaryotes suggests that at least some of these mechanisms might have been conserved during evolution.     

DNA and the theory of stabilizing selection

A comparison of structural-functional features of genomic DNAs allowed to estimate the role of internal and external factors in evolution of different groups of organisms. The basic difference between higher and lower organisms has been demonstrated. It is reflected in the difference of their reaction on to external factors in accordance with two adaptation types, the openness and autonomization. There is a correlation between structural-functional organization of genomic DNAs of higher and lower organisms and the above mentioned types of adaptation. DNA of lower organisms has been proposed to be characterized as "labile", and that of higher organisms, as "stable". The "DNA lability" means high mutation ability, which characterizes the existence of and evolution of lower organisms (genetic inconstancy of the lower organisms). On the contrary, "DNA stability" means the creation of stable genetic apparatus, reduction of variability in higher organisms (genetic constancy of higher organisms). This suggests the existence of the two principal ways of evolution.     

The origin of DNA:RNA hybridization

Conclusions Besides its use in basic research, the DNA:RNA hybridization technique has helped the development of genetic engineering: it is instrumental in the isolation of specific genes that can be inserted into foreign cells, thus modifying their genetic information. Plants, animals, and microorganisms can now be altered to yield improved crops, pest-resistant plants, and a cheaper source of important proteins or drugs. The social relevance of genetic engineering received official sanction in 1980 when the U.S. Supreme Court ruled that genetically modified organisms can be patented. In this article I have tried to describe the discovery of the DNA:RNA hybridization technique as the successful outcome of years of intelligent and patient research in many laboratories, of inductive and deductive processes in the minds of many biologists. The synthesis that led to the final result and to the early development of the technique was made possible by the coming together of two brilliant scientists, Sol Spiegelman and Benjamin Hall.     

Hierarchical modularity and the evolution of genetic interactomes across species

To date, cross-species comparisons of genetic interactomes have been restricted to small or functionally related gene sets, limiting our ability to infer evolutionary trends. To facilitate a more comprehensive analysis, we constructed a genome-scale epistasis map (E-MAP) for the fission yeast Schizosaccharomyces pombe, providing phenotypic signatures for ~60% of the nonessential genome. Using these signatures, we generated a catalog of 297 functional modules, and we assigned function to 144 previously uncharacterized genes, including mRNA splicing and DNA damage checkpoint factors. Comparison with an integrated genetic interactome from the budding yeast Saccharomyces cerevisiae revealed a hierarchical model for the evolution of genetic interactions, with conservation highest within protein complexes, lower within biological processes, and lowest between distinct biological processes. Despite the large evolutionary distance and extensive rewiring of individual interactions, both networks retain conserved features and display similar levels of functional crosstalk between biological processes, suggesting general design principles of genetic interactomes.