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Homologous recombination promotes the pairing between identical — or nearly identical – DNA sequences and the subsequent exchange of genetic material between them. It is an important and widely conserved function in living organisms, from bacteria to humans, that serves to repair double-stranded breaks or single-stranded gaps in the DNA, arising as a consequence of ionizing radiations, ultraviolet (UV) light, or chemical treatments creating replication-blocking adducts (Kuzminov, 1999). More recently, homologous recombination functions were also found in bacteria to rescue replication forks that have stalled for various reasons, such as a missing factor (e.g., the helicase), or a particular difficulty upstream of the fork, such as supercoiling or intense traffic of proteins (Michel et al., 2001).
Besides its molecular role, homologous recombination has played a major role in genome dynamics, by changing gene copy numbers through deletions, duplications, and amplifications: Intrachromosomal recombination between ribosomal operons or between mobile elements scattered into the genome leads to deletion or tandem duplications of large regions within the genome, up to several hundred kilobases (Roth et al., 1996). The duplications are unstable. Mostly they recombine back to the parental organization, and, therefore, remain undetected, except when appropriate selection, by gene dosage mostly, is exerted (Petes and Hill, 1988). In contrast, such duplications are ideal substrate for the diversification of genes: One gene is kept intact whereas the other is mutagenized, which leads to the birth of gene families.
By
Adam P. Roberts, Division of Microbial Diseases, Eastman Dental Institute for Oral Health Care Sciences, University College London (UCL), University of London,
Peter Mullany, Division of Microbial Diseases, Eastman Dental Institute for Oral Health Care Sciences, University College, London (UCL), University of London
Until the late 1970s, it was believed that the majority of gene transfer events in bacteria were mediated by plasmids. However, at that time, Don Clewell and co-workers isolated a strain of Enterococcus faecalis that could transfer tetracycline resistance in the absence of plasmid DNA (Tomich et al., 1979). The element responsible was an 18-kb segment of DNA that was integrated into the bacterial chromosome. As well as being capable of conjugative transfer to a new host, this element was also capable of intercellular transposition, so the term conjugative transposon was coined and this particular element was designated Tn916 (Franke and Clewell, 1981). Subsequently, it has become apparent that conjugative transposons are probably ubiquitous and are highly heterogeneous. This heterogeneity in form and function has led to some confusion and controversy about what a conjugative transposon actually is and how these elements should be named. This issue has more recently been addressed in a number of review articles (Burrus et al., 2002; Mullany et al., 2002; Osborn and Boltner, 2002). Therefore, for the purposes of this chapter, we define conjugative transposons in the loosest possible terms, as discrete DNA elements, usually integrated into the bacterial genome, which can transfer from a donor to a recipient cell by conjugation.
Because conjugative transposons have such a broad host range, they are very important in bacterial evolution (i.e., in disseminating genes between distantly related organisms, induction of deletion, rearrangements) and as a substrate for recombination events (Beaber et al., 2002; Mahairas and Minion, 1989; O'Keefe et al., 1999; Swartley et al., 1993).
Competence for genetic transformation is a physiological state that enables the uptake of exogenous DNA. Although competence is widespread in nature (Lorenz and Wackernagel, 1994), it appears to be a variable phenotype because natural isolates of a given species may or may not be transformable, and genome sequencing has revealed the presence of competence genes in isolates that are not known to be transformable.
WHAT USE IS COMPETENCE?
In this chapter, we consider three disputed hypotheses that have been advanced for the biological role of competence: DNA uptake for new genetic information, DNA uptake for repair, and DNA uptake for nutrition.
DNA for genetic diversity
The evolutionary pressure for the maintenance of competence genes may be explained by the advantages gained from the acquisition of fitness-enhancing genes; competence may expand the repertoire of genes available to improve the chances of survival in harsh conditions. Several examples of the acquisition by transformation of new genes that confer a selective advantage have been suggested. For instance, in Neisseria gonorrhoeae, in which transformation is the only known mode of DNA transfer, the expression of new allelic variants may facilitate antigenic variation, which presumably plays a role in the evasion of the host immune response. Thus, although new pilin variants may be formed by intracellular recombination between a silent gene segment and an expressed pilin gene, the intercellular exchange of pilin alleles may also occur by transformation (Gibbs et al., 1989; Seifert et al., 1988).
To study the effects of maternal and endosperm quantitative trait locus (QTL) interaction on endosperm development, we derive a two-stage hierarchical statistical model within the maximum-likelihood context, implemented with an expectation-maximization algorithm. A model incorporating both maternal and offspring marker information can improve the accuracy and precision of genetic mapping. Extensive simulations under different sampling strategies, heritability levels and gene action modes were performed to investigate the statistical properties of the model. The QTL location and parameters are better estimated when two QTLs are located at different intervals than when they are located at the same interval. Also, the additive effect of the offspring QTLs is better estimated than the additive effect of the maternal QTLs. The implications of our model for agricultural and evolutionary genetic research are discussed.
The mechanisms of homologous recombination in bacteria (described in Chapter 1) are ancient and highly conserved. The basic requirement is two DNA sequences that share sequence identity over a minimum distance, typically at least 40 to 50 nucleotides (Shen and Huang, 1986; Watt et al., 1985). These identical sequences are brought together to create, and eventually resolve, a recombinant molecule, by the actions of enzymes such as RecA, RecBCD/RecF, and RuvABC, or their equivalents (Kowalczykowski et al., 1994). Homologous recombination serves several purposes in the cell. The most fundamental of these, according to current understanding, is to facilitate the completion of chromosome replication (Cox, 2001; Smith, 2001). Replication forks frequently stall or break, and homologous recombination can solve this problem using the sister homolog as a template (Kuzminov, 1995). A related problem is that after replication bacterial chromosomes are frequently entangled and require homologous recombination to disentangle them.
In addition to its housekeeping roles, homologous recombination can shuffle the order of genes in a genome by recombination between repetitive sequences. It can also facilitate the incorporation of foreign DNA, although this is also achieved by site-specific recombination (Ochman et al., 2000). Lateral DNA transfer in bacteria can alleviate the effects of Muller's ratchet (Andersson and Hughes, 1996; Muller, 1964), and provide bacteria with access to a very large gene pool potentially containing important innovative properties (Ochman et al., 2000).
Effectiveness of marker-assisted selection (MAS) and quantitative trait loci (QTL) mapping using population-wide linkage disequilibrium (LD) between markers and QTL depends on the extent of LD and how it declines with distance in a population. Because marker–QTL LD cannot be observed directly, the objective of this study was to evaluate alternative measures of observable LD between multi-allelic markers as predictors of usable LD of multi-allelic markers with presumed biallelic QTL. Observable LD between marker pairs was evaluated using eight existing measures and one new measure. These consisted of two pooled and standardized measures of LD between pairs of alleles at two markers based on Lewontin's LD measure, two pooled measures of squared correlations between alleles, one standardized measure using Hardy–Weinberg heterozygosities, and four measures based on the chi-square statistic for testing for association between alleles at two loci. In simulated populations with a range of LD generated by drift and a range of marker polymorphism, marker–marker LD measured by a standardized chi-square statistic (denoted χ2′) was found to be the best predictor of useable marker–QTL LD for a group of multi-allelic markers. Estimates of the level and decline of marker–marker LD with distance obtained from χ2′ were linearly and highly correlated with usable LD of those markers with QTL across population structures and marker polymorphism. Corresponding relationships were poorer for the other marker–marker LD measures. Therefore, when LD is generated by drift, χ2′ is recommended to quantify the amount and extent of usable LD in a population for QTL mapping and MAS based on multi-allelic markers.
The fate of lethal alleles in populations is of interest in evolutionary and conservation biology for several reasons. For instance, lethals may contribute substantially to inbreeding depression. The frequency of lethal alleles depends on population size, but it is not clear how it is affected by population structure. By analysing the case of the infinite island model by numerical approaches and analytical approximations it is shown that, like population size, population structure affects the fate of lethal alleles if dominance levels are low. Inbreeding depression caused by such alleles is also affected by the population structure, whereas the mutation load is only weakly affected. Heterosis also depends on population structure, but it always remains low, of the order of the mutation rate or less. These patterns are compared with those caused by mildly deleterious mutations to give a general picture of the effect of population structure on inbreeding depression, heterosis, and the mutation load.
Sequence polymorphisms result in phenotypic variation through the pathways of interacting genes and their products. We focused on transcript-level variation in the splicing pathway for sex determination – a model network defining downstream morphological characters that are dimorphic between males and females. Expression of Sex lethal, transformer, transformer2, doublesex, intersex and hermaphrodite was assayed with quantitative RT-PCR in 0- to 1-day-old adult males and females of 36 Drosophila melanogaster inbred lines. Abundant genetic variation in the transcript levels was found for all genes. Sex-specific splices had high concentrations in the appropriate sex. In the other sex, low but detectable concentrations were also observed. Abundances of splices strongly co-varied between sexes among genotypes, with little genetic variation strictly limited to one sex. The level of sexually dimorphic Yolk protein1 expression – an immediate downstream target of the pathway – was modelled as the target phenotype of the upstream sex determination pathway. Substantial genetic variation in this phenotype in males was explained by leaky splicing of female-specific transcripts. If higher transcript levels of the appropriate isoform of sex determination genes are beneficial in a sex, then stronger leakiness of the inappropriate transcript might be deleterious, perhaps contributing to the fitness trade-offs previously observed between the sexes.
Molecular biologists have long used viruses, plasmids, transposons, and other “vectors” as tools to directly manipulate the genetic makeup of experimental organisms. In nature, these tool vectors originated in species, usually bacteria, as facilitators of horizontal (also known as lateral) gene transfer (HGT). In contrast to vertical inheritance, where the transmission of genetic material occurs vertically from parent to offspring, HGT refers to the horizontal exchange of genes between distantly related strains and species. As described in this volume, there are many examples of HGT between species of bacteria, such as that mediated by plasmids and phages, which bear genes responsible for pathogenicity and antibiotic resistance. HGT is also known to occur in eukaryotes; for example, DNA transposons have been suggested as being horizontally transferred between different species of the fruitfly Drosophila (Bushman, 2002). These are examples of HGT on a relatively recent evolutionary timescale. However, HGT might have had a pivotal evolutionary role in more ancient times. Comparative analyses of molecular data that are exploding from genome sequencing projects indicates that HGT might have been the main driving force behind the evolution of cellular life (Brown, 2003).
The reason for believing the occurrence of ancient HGT is relatively simple. In an evolutionary context, genes are not found where they are expected to be. The most fundamental subdivisions of living organisms are the three urkingdoms or domains of life: the Archea (traditionally called “archaebacteria”), Bacteria (traditionally called “eubacteria”), and Eucarya (interchangeable here and elsewhere with the term “eukaryote”; Woese, Kandler, and Wheelis, 1990).
The mechanism underlying the maintenance of adaptive genetic variation is a long-standing question in evolutionary genetics. There are two concepts (mutation–selection balance and balancing selection) which are based on the phenotypic differences between alleles. Mutation – selection balance and balancing selection cannot properly explain the process of gene substitution, i.e. the molecular evolution of quantitative trait loci affecting fitness. I assume that such loci have non-essential functions (small effects on fitness), and that they have the potential to evolve into new functions and acquire new adaptations. Here I show that a high amount of neutral polymorphism at these loci can exist in real populations. Consistent with this, I propose a hypothesis for the maintenance of genetic variation in life history traits which can be efficient for the fixation of alleles with very small selective advantage. The hypothesis is based on neutral polymorphism at quantitative trait loci and both neutral and adaptive gene substitutions. The model of neutral – adaptive conversion (NAC) assumes that neutral alleles are not neutral indefinitely, and that in specific and very rare situations phenotypic (relative fitness) differences between them can appear. In this paper I focus on NAC due to phenotypic plasticity of neutral alleles. The important evolutionary consequence of NAC could be the increased adaptive potential of a population. Loci responsible for adaptation should be fast evolving genes with minimally discernible phenotypic effects, and the recent discovery of genes with such characteristics implicates them as suitable candidates for loci involved in adaptation.
By
Bianca Hochhut, Institut für molekulare Infektionsbiologie, Universität Würzburg,
Jörg Hacker, Institut für molekulare Infektionsbiologie, Universität Würzburg
Infections caused by microbial pathogens are a major global health problem not only in developing countries, but also in the industrial world. Similarly, there are numerous diseases of animals and plants due to bacterial infections. Pathogenic bacteria can be found among various bacterial species, and the determination of the factors that are responsible for virulence of a certain bacterium has long been one of the main interests in microbial research. In the early 1990s, new insights into the evolution of bacterial pathogens were gained by the development of the concept of pathogenicity islands (PAIs), which are the topic of this chapter. Since then, the advances in genomics have led into a new area of pathogen research, with increasing knowledge of completely sequenced bacterial genomes.
The prokaryotic genome can be generally divided into a core gene pool encompassing those genes that encode essential functions, such as DNA replication, cell division, nucleotide turnover, and key metabolic pathways, and a flexible gene pool containing genes that are only required under certain environmental conditions. The core genes are normally encoded in stable regions of the chromosome and exhibit a relatively homogeneous G+C content. In contrast, genes of the flexible gene pool are often found on mobile genetic elements and are preferentially transmitted between different organisms by natural transformation (the uptake of naked DNA), phage-mediated transduction, or conjugation (the unidirectional transfer of DNA from a donor to a recipient via intimate cell-to-cell contact).
Bacteria owe their ability to thrive in diverse and ever-changing conditions to their extraordinary faculty of adaptation. They have developed many strategies to adjust to new environments. These mechanisms include random modifications within their genome, such as point mutation, duplication, deletion, insertion, and acquisition of new DNA (e.g., lateral gene transfer). These multiple events generate a heterogeneous microbial population containing numerous novel phenotypes. Whenever the environment changes, a subpopulation more apt to survive in these new conditions emerges, thus allowing bacteria to thrive, for example, by acquiring resistance to antibiotics. However, as the intensity, duration, and nature of stress are extremely variable, the optimal response to new environmental conditions may be unpredictable. The means by which bacteria either respond to stress, such as exposure to toxic/inhibitory compounds or starvation, or avoid detection by the host's immune system are crucial for their survival. The spontaneous mutation rate is usually insufficient for allowing an efficient adaptation to these changes. However, certain bacterial populations contain hypermutator strains exhibiting highly increased rates of spontaneous mutations, therefore promoting adaptation to changing environments (Taddei et al., 1997). Nevertheless, this benefit may disappear once adaptation is achieved because the evolved genotype may have accumulated irreversible mutations that are detrimental in other conditions (Giraud et al., 2001a, 2001b).
Alternatively, bacteria have developed adaptation strategies based on DNA rearrangement events restricted to specific genomic regions. These defined loci allow bacteria to generate an array of phenotypic variants, whereas minimizing detrimental effects of random mutations on fitness.