Recombination in the genesis and evolution of hepatitis B virus genotypes

Hepatitis B virus (HBV) infection is widely distributed in both human and ape populations throughout the world and is a major cause of human morbidity and mortality. HBV variants are currently classified into the human genotypes A to H and species-associated chimpanzee and gibbon/orangutan groups. To examine the role of recombination in the evolution of HBV, large-scale data retrieval and automated phylogenetic analysis (TreeOrder scanning) were carried out on all available published complete genome sequences of HBV. We detected a total of 24 phylogenetically independent potential recombinants (different genotype combinations or distinct breakpoints), eight of which were previously undescribed. Instances of intergenotype recombination were observed in all human and ape HBV variants, including evidence for a novel gibbon/genotype C recombinant among HBV variants from Vietnam. By recording sequence positions in trees generated from sequential fragments across the genome, violations of phylogeny between trees also provided evidence for frequent intragenotype recombination between members of genotypes A, D, F/H, and gibbon variants but not in B, C, or the Asian B/C recombinant group. In many cases, favored positions for both inter- and intragenotype recombination matched positions of phylogenetic reorganization between the human and ape genotypes, such as the end of the surface gene and the core gene, where sequence relationships between genotypes changed in the TreeOrder scan. These findings provide evidence for the occurrence of past, extensive recombination events in the evolutionary history of the currently classified genotypes of HBV and potentially in changes in its global epidemiology and associations with human disease.     

Molecular epidemiology of human coronavirus OC43 reveals evolution of different genotypes over time and recent emergence of a novel genotype due to natural recombination

Although human coronavirus OC43-OC43 (HCoV-OC43) is the coronavirus most commonly associated with human infections, little is known about its molecular epidemiology and evolution. We conducted a molecular epidemiology study to investigate different genotypes and potential recombination in HCoV-OC43. Twenty-nine HCoV-OC43 strains from nasopharyngeal aspirates, collected from 2004 to 2011, were subjected to RNA-dependent RNA polymerase (RdRp), spike, and nucleocapsid gene analysis. Phylogenetic analysis showed at least three distinct clusters of HCoV-OC43, although 10 unusual strains displayed incongruent phylogenetic positions between RdRp and spike genes. This suggested the presence of four HCoV-OC43 genotypes (A to D), with genotype D most likely arising from recombination. The complete genome sequencing of two genotype C and D strains and bootscan analysis showed recombination events between genotypes B and C in the generation of genotype D. Of the 29 strains, none belonged to the more ancient genotype A, 5 from 2004 belonged to genotype B, 15 from 2004 to 2006 belonged to genotype C, and 1 from 2004 and all 8 from 2008 to 2011 belonged to the recombinant genotype D. Molecular clock analysis using spike and nucleocapsid genes dated the most recent common ancestor of all genotypes to the 1950s, genotype B and C to the 1980s, genotype B to the 1990s, and genotype C to the late 1990s to early 2000s, while the recombinant genotype D strains were detected as early as 2004. This represents the first study to describe natural recombination in HCoV-OC43 and the evolution of different genotypes over time, leading to the emergence of novel genotype D, which is associated with pneumonia in our elderly population.     

Molecular and Phylogenetic Analyses Suggest an Additional Hepatitis B Virus Genotype “I”

A novel hepatitis B virus (HBV) strain (W29) was isolated from serum samples in the northwest of China. Phylogenetic and distance analyses indicate that this strain is grouped with a series of distinct strains discovered in Vietnam and Laos that have been proposed to be a new genotype I. TreeOrderScan and GroupScan methods were used to study the intergenotype recombination of this special group. Recombination plots and tree maps of W29 and these putative genotype I strains exhibit distinct characteristics that are unexpected in typical genotype C strains of HBV. The amino acids of P gene, S gene, X gene, and C gene of all genotypes (including subtypes) were compared, and eight unique sites were found in genotype I. In vitro and in vivo experiments were also conducted to determine phenotypic characteristics between W29 and other representative strains of different genotypes obtained from China. Secretion of HBsAg in Huh7 cells is uniformly abundant among genotypes A, B, C, and I (W29), but not genotype D. HBeAg secretion is low in genotype I (W29), whose level is close to genotype A and much lower than genotypes B, C, and D. Results from the acute hydrodynamic injection mouse model also exhibit a similar pattern. From an overview of the results, the viral markers of W29 (I1) in Huh7 cells and mice had a more similar level to genotype A than genotype C, although the latter was closer to W29 in distance analysis. All evidence suggests that W29, together with other related strains found in Vietnam and Laos, should be classified into a new genotype.     

A role for the MutL homologue MLH2 in controlling heteroduplex formation and in regulating between two different crossover pathways in budding yeast

BACKGROUND AND AIMS: Mismatch repair proteins play important roles during meiotic recombination in the budding yeast Saccharomyces cerevisiae and most eukaryotic organisms studied to date. To study the functions of the mismatch repair protein Mlh2p in meiosis, we constructed mlh2Delta strains and measured rates of crossing over, gene conversion, post-meiotic segregation and spore viability. We also analysed mlh1Delta, mlh3Delta, msh4Delta, msh5Delta, exo1Delta and mus81Delta mutant strains singularly and in various combinations. RESULTS: Loss of MLH2 resulted in a small but significant decrease in spore viability and a significant increase in gene conversion frequencies but had no apparent effect on crossing over. Deletion of MLH2 in mlh3Delta, msh4Delta or msh5Delta strains resulted in significant proportion of the "lost" crossovers found in single deletion strains being regained in some genetic intervals. We and others propose that there are at least two pathways to generate crossovers in yeast (Ross-Macdonald and Roeder, 1994; Zalevsky et al., 1999; Khazanehdari and Borts, 2000; Novak et al., 2001; de los Santos et al., 2003). Most recombination intermediates are processed by the "major", Msh4-dependent pathway, which requires the activity of Mlh1p/Mlh3p/Msh4p/Msh5p as well as a number of other proteins. The minor pathway(s) utilizes Mms4p/Mus81p. We suggest that the absence of Mlh2p allows some crossovers from the MSH4 pathway to traverse the MUS81-dependent pathway.     

The Evolution of Campylobacter jejuni and Campylobacter coli

The global significance of Campylobacter jejuni and Campylobacter coli as gastrointestinal human pathogens has motivated numerous studies to characterize their population biology and evolution. These bacteria are a common component of the intestinal microbiota of numerous bird and mammal species and cause disease in humans, typically via consumption of contaminated meat products, especially poultry meat. Sequence-based molecular typing methods, such as multilocus sequence typing (MLST) and whole genome sequencing (WGS), have been instructive for understanding the epidemiology and evolution of these bacteria and how phenotypic variation relates to the high degree of genetic structuring in C. coli and C. jejuni populations. Here, we describe aspects of the relatively short history of coevolution between humans and pathogenic Campylobacter, by reviewing research investigating how mutation and lateral or horizontal gene transfer (LGT or HGT, respectively) interact to create the observed population structure. These genetic changes occur in a complex fitness landscape with divergent ecologies, including multiple host species, which can lead to rapid adaptation, for example, through frame-shift mutations that alter gene expression or the acquisition of novel genetic elements by HGT. Recombination is a particularly strong evolutionary force in Campylobacter, leading to the emergence of new lineages and even large-scale genome-wide interspecies introgression between C. jejuni and C. coli. The increasing availability of large genome datasets is enhancing understanding of Campylobacter evolution through the application of methods, such as genome-wide association studies, but MLST-derived clonal complex designations remain a useful method for describing population structure.Campylobacter jejuni and Campylobacter coli remain among the most common causes of human bacterial gastroenteritis worldwide (Friedman et al. 2000). In high-income countries, Campylobacteriosis is much more common than gastroenteritis caused by Escherichia coli, Listeria, and Salmonella, and accounts for an estimated 2.5 million annual cases of gastrointestinal disease in the United States alone (Kessel et al. 2001). Infection with these bacteria is also a major cause of morbidity and mortality in low- and middle-income countries, although it is almost certainly underreported in these settings, especially as culture confirmation remains challenging. Poor understanding of the transmission of these food-borne pathogens to humans in all income settings has contributed to the failure of public health systems to adequately address this problem. As a consequence, over the past 20 years, much investment has been directed at understanding how these bacteria are transmitted from reservoir hosts to humans through the food chain.Although the disease was first recognized by Theodor Escherich in 1886, who described the symptoms of intestinal Campylobacter infections in children as “cholera infantum” (Samie et al. 2007) or “summer complaint” (Condran and Murphy 2008), difficulties in the culture and characterization of these organisms precluded their recognition as major causes of disease until the 1970s. Campylobacteriosis is usually nonfatal and self-limiting; however, the symptoms of diarrhea, fever, abdominal pain, and nausea can be severe (Allos 2001), and sequelae, including Guillain–Barre syndrome and reactive arthritis, can have serious long-term consequences. Subsequently, recognition of the very high disease burden of human Campylobacter infection stimulated research on these bacteria and their relatives. Since the 1970s, C. coli and C. jejuni have been isolated from a wide range of wild and domesticated bird and mammal species, in which, typically, they are thought to cause few if any disease symptoms. Humans are usually infected by the consumption of contaminated food (especially poultry meat), water, milk, or contact with animals or animal feces (Niemann et al. 2003).Most of what is known about these species comes from isolates obtained from humans with disease, the food chain, and the agricultural environment. It is, however, important to note that such isolates are by no means representative of natural Campylobacter populations, and it is becoming increasingly apparent that much of the diversity present among the Campylobacters is in strains that colonize wild animals. Increasing numbers of novel genotypes are being found as Campylobacter populations are analyzed in different animal species, especially wild birds (Carter et al. 2009; French et al. 2009); these populations undoubtedly contain many as-yet-undescribed lineages. Most human disease isolates from cases of gastroenteritis in countries, such as the United Kingdom and the United States, are C. jejuni, which typically accounts for 90% of cases in these settings, with the remaining ∼10% of cases mostly caused by C. coli. The majority of the genotypes isolated from human disease have also been isolated as commensal gastrointestinal inhabitants of domesticated and, especially, food animals. Furthermore, clinical isolates are a nonrandom subset of these strains. Asymptomatic carriage of C. jejuni and C. coli is thought to be rare in humans, especially among people in industrialized countries, suggesting that humans are not a primary host for these organisms in these settings and that people are sporadically, and frequently pathologically, infected via the food chain from animal reservoir hosts.An understanding of the relatively short history of coevolution between humans and pathogenic Campylobacters can be obtained by examining their population structure and ecology. This approach has formed the basis of many recent investigations of the cryptic epidemiology of these organisms (Lang et al. 2010; Müllner et al. 2010; Thakur et al. 2010; Hastings et al. 2011; Jorgensen et al. 2011; Kittl et al. 2011; Magnússon et al. 2011; Sheppard et al. 2011a,b; Sproston et al. 2011; Read et al. 2013) and will be the focus of this review. Such studies have included molecular epidemiological and evolutionary analyses and, in the past 15 years or so, the application of high-throughput DNA sequencing technologies of increasing capacity has enhanced the integration of these two areas of investigation to their mutual benefit.     

Identification of Receptor-Tyrosine-Kinase-Signaling Target Genes Reveals Receptor-Specific Activities and Pathway Branchpoints During Drosophila Development

Genetic maps provide a means to estimate the probability of the co-inheritance of linked loci as they are transmitted across generations in both experimental and natural populations. However, in the age of whole-genome sequences, physical distances measured in base pairs of DNA provide the standard coordinates for navigating the myriad features of genomes. Although genetic and physical maps are colinear, there are well-characterized and sometimes dramatic heterogeneities in the average frequency of meiotic recombination events that occur along the physical extent of chromosomes. There also are documented differences in the recombination landscape between the two sexes. We have revisited high-resolution genetic map data from a large heterogeneous mouse population and have constructed a revised genetic map of the mouse genome, incorporating 10,195 single nucleotide polymorphisms using a set of 47 families comprising 3546 meioses. The revised map provides a different picture of recombination in the mouse from that reported previously. We have further integrated the genetic and physical maps of the genome and incorporated SSLP markers from other genetic maps into this new framework. We demonstrate that utilization of the revised genetic map improves QTL mapping, partially due to the resolution of previously undetected errors in marker ordering along the chromosome.GENETIC maps exist for hundreds of different species, and genetic map construction continues to play an important role in the characterization of genomes (Tanksley et al. 1992; Kong et al. 2002; Chowdhary and Raudsepp 2006; Stapley et al. 2008). A genetic map defines the linear order and relative distances among a set of marker loci in units that correspond to the frequency of meiotic recombination between the loci. Until recently mouse genetic maps based on simple sequence length polymorphism (SSLP) markers (Lyon 1976) have been sufficient for most experimental purposes since, unlike the hundreds of thousands of markers required in human genetic association studies, a relatively small number of markers is needed to map crosses between inbred mouse strains. However, recent developments in whole-genome high-resolution mapping in the mouse (Churchill et al. 2004; Valdar et al. 2006) and interest in examining recombination rates at an ultra-fine scale (Myers et al. 2005) have reawakened the need to develop a high-resolution genetic map in the mouse.The current standard genetic map of the mouse has been compiled from a substantial body of historical data and maintained by the Mouse Genome Informatics (MGI) project at The Jackson Laboratory (Bult et al. 2008). We will refer to it as the MGI map. The primary sources of data used to construct the MGI map were two mapping panels, described here. However, the current map is based on a consensus developed by the 2000 Chromosome Committee using all available published data. The map has continued to be maintained by MGI with the addition of new genetic markers and data but, because the map is based on consensus, published errors may have been perpetuated.The Jackson Laboratory developed a genetic map based on two sets of 94 progeny obtained from reciprocal backcrosses (BSB and BSS) between the inbred strains C57BL/6J and SPRET/EiJ (Rowe et al. 1994). These strains represent two different species of mouse (Mus musculus and Mus spretus). The map provides a wealth of genetic information, but problems with male fertility restrict breeding options and thus the map is female specific. The problems with male fertility may have resulted in some multi-locus distortion in the mapping panel (Montagutelli et al. 1996). Currently, 1372 and 4913 markers have been typed on the BSB and BSS backcross panels, respectively (Broman et al. 2002). Researchers at The Whitehead Institute and the Massachusetts Institute of Technology (MIT) developed a map of 4006 SSLP markers using an intercross population of 46 mice derived from strains OB (C57BL/6J-Lep^ob/ob) and CAST (CAST/EiJ) (Dietrich et al. 1994). Both parental strains OB and CAST are derived from M. musculus, but CAST is from a distinct subspecies, M. m. castaneus. The intercross mating strategy produces observable recombination from both male and female parents, but the two cannot be distinguished. Thus the map is sex averaged and based on 92 meioses. The Whitehead/MIT map was expanded to include 7377 SSLP markers (Dietrich et al. 1996). These are denoted as, e.g., D7Mit54, where “7” indicates the chromosome to which the marker is mapped and “54” is an arbitrary index. They are commonly referred to as “Mit” markers.Map resolution is limited by the number of observable recombination events in each of these panels. With 94 meioses (in each backcross) and an average of 14 recombination events/haploid genome transmitted, limiting resolution is on the order of 1 cM. A much larger panel would be needed to achieve subcentimorgan resolution and to accurately position high-density sets of SNP markers.Here we propose a new standard genetic map of the laboratory mouse based on data from a large heterogeneous stock (HS) mouse population descended from eight inbred strains (DBA/2J, C3H/HeJ, AKR/J, A/J, BALB/cJ, CBA/J, C57BL/6J, and LP/J) representing a diverse sample of the classical inbred strains (Petkov et al. 2004). Shifman et al. (2006) calculated genetic maps based on 11,247 informative SNP markers in 2293 HS individuals. The marker set is dense with 99% of the SNP intervals <500 kb, 81.2% <250 kb, and an estimated allele inheritance-based accuracy of 99.98%. Map positions were calculated separately for male and female meioses using CRIMAP software (Green et al. 1990), and the total length of the sex-averaged map is 1630 cM, as defined by the most distal SNP markers in their panel. The MGI map is 1783 cM on the basis of the most distal available marker position for each chromosome. However, on the basis of the most distal shared markers, the original Shifman map at 1612 cM is substantially longer than the MGI map at 1445 cM. It was not immediately clear if this discrepancy was due to the nature of recombination in the HS population or to their method of map estimation.There are at least two methodological problems with the HS map reported in Shifman et al. (2006). First, the map was constructed using a sliding window of 5–15 SNPs to handle eight multi-generation families within the CRIMAP software. Ideally, one considers all markers on a chromosome simultaneously in constructing a genetic map, and we found that this could be accomplished by splitting the complex pedigrees into sibships. Although splitting the pedigree results in slightly less efficient estimates of intermarker distances, this approach should incur no bias. Maps based on the full set of markers but with the complex pedigrees split into sibships are thus arguably better than maps based on the full pedigrees but with a sliding window of 5–15 markers. Second, analysis of families with incomplete parental genotypes may have contributed to an inflated map size. Sixteen of the 72 families lack parental genotypes or have genotypes for just one parent (15 of the 72), and many of them are small (26 have six or fewer siblings). Sibships with no parental genotype data of their own can give no information about sex-specific recombination rates. In conjunction with other sibships for which parental genotypes are available, they can provide some information, but the CRIMAP software (last modified in 1990) makes some approximations that result in a large bias even in the sex-averaged genetic maps for small sibships lacking parental genotype data.For these reasons, we recomputed the mouse genetic map on the basis of the original data reported and discuss the differences between the original Shifman map and the revised Shifman map below. The revised Shifman map provides a markedly different picture of recombination in the mouse: the estimated sex-averaged chromosome lengths correspond more closely to those in the original MGI map; the sex difference in the overall recombination rate is greatly reduced; and numerous narrow regions of high recombination rate, apparent in the original Shifman map, have disappeared.We propose the revised Shifman map as a new standard genetic map for the mouse. The new genetic map represents a substantial improvement over the existing MGI map due to the large number of meioses and to the genetic diversity of strains in the HS population. We have generated male, female, and sex-averaged genetic maps with physical positions and updated locus identifiers. We have established the correspondence between physical and genetic positions of 7080 Mit markers and corrected inconsistencies in the MGI map. We provide a web-based tool for the interpolation of new marker loci into the genetic map and for converting genetic map positions to NCBI mouse build 37 coordinates. Finally, we examine the effect of changing to this revised genetic map on QTL mapping in five previously published data sets (Beamer et al. 1999, 2001; Ishimori et al. 2004, 2008; Wergedal et al. 2006).     

A Novel Complex A/C/G Intergenotypic Recombinant of Hepatitis B Virus Isolated in Southern China

Hepatitis B virus (HBV) genotypes and subgenotypes may vary in geographical distribution and virological features. Previous investigations, including ours, showed that HBV genotypes B and C were respectively predominant in South and North China, while genotypes A and D were infrequently detected and genotype G was not found. In this study, a novel A/C/G intergenotype was identified in patients with chronic HBV infection in Guilin, a city in southern China. Initial phylogenetic analysis based on the S gene suggested the HBV recombinant to be genotype G. However, extended genotyping based on the entire HBV genome indicated it to be an A/C/G intergenotype with a closer relation to genotype C. Breakpoint analysis using the SIMPLOT program revealed that the recombinant had a recombination with a arrangement of genotypes A, G, A and C fragments. Compared with the HBV recombinants harboring one or two genotype G fragments found in Asian countries, this Guilin recombinant was highly similar to the Vietnam (98–99%) and Long An recombinants (96–99%), but had a relatively low similarity to the Thailand one (89%). Unlike those with the typical genotype G of HBV, the patients with the Guilin recombinant were seropositive for HBeAg. Moreover, a relatively high HBV DNA viral load (>2×10⁶ IU/ml) was detected in the patients, and the analysis of viral replication capacity showed that the Guilin recombinant strains had a competent replication capacity similar to genotypes B and C strains. These findings can aid in not only the clarification of the phylogenetic origin of the HBV recombinants with the genotype G fragment found in Asian countries, but also the understanding of the virological properties of these complicated HBV recombinants.     

Recombination and Replication

The links between recombination and replication have been appreciated for decades and it is now generally accepted that these two fundamental aspects of DNA metabolism are inseparable: Homologous recombination is essential for completion of DNA replication and vice versa. This review focuses on the roles that recombination enzymes play in underpinning genome duplication, aiding replication fork movement in the face of the many replisome barriers that challenge genome stability. These links have many conserved features across all domains of life, reflecting the conserved nature of the substrate for these reactions, DNA.The interplay between replication and recombination is complex in terms of both mechanism and integration within DNA metabolism. At the heart of this interplay is the requirement for single-stranded DNA (ssDNA), the substrate for DNA-strand-exchange proteins, to initiate recombination (Cox 2007b; San Filippo et al. 2008). Whether, when, and where this ssDNA is generated determines the functional relationship between replication and recombination, a relationship that can operate in both directions. Homologous recombination enzymes are critical for successful completion of genome duplication (Kogoma 1997; Cox et al. 2000) but DNA replication also underpins homologous recombination, as discussed elsewhere in this collection. The links between recombination and replication are therefore intimate and one cannot be considered in isolation from the other. However, involvement of DNA-strand-exchange proteins, regardless of the metabolic context, comes with the unavoidable risk of genome rearrangements. This genome instability can occasionally increase evolutionary fitness but more frequently is deleterious to the viability of the individual.This review will focus on fundamental aspects of the links between replication and recombination enzymes rather than simply providing a list of known enzymes and reactions. The substrate, DNA, is identical in all of these reactions and this is reflected in the high mechanistic conservation of replication and recombination.     

Robust generation of hepatocyte-like cells from human embryonic stem cell populations

Despite progress in modelling human drug toxicity, many compounds fail during clinical trials due to unpredicted side effects. The cost of clinical studies are substantial, therefore it is essential that more predictive toxicology screens are developed and deployed early on in drug development (Greenhough et al 2010). Human hepatocytes represent the current gold standard model for evaluating drug toxicity, but are a limited resource that exhibit variable function. Therefore, the use of immortalised cell lines and animal tissue models are routinely employed due to their abundance. While both sources are informative, they are limited by poor function, species variability and/or instability in culture (Dalgetty et al 2009). Pluripotent stem cells (PSCs) are an attractive alternative source of human hepatocyte like cells (HLCs) (Medine et al 2010). PSCs are capable of self renewal and differentiation to all somatic cell types found in the adult and thereby represent a potentially inexhaustible source of differentiated cells. We have developed a procedure that is simple, highly efficient, amenable to automation and yields functional human HLCs (Hay et al 2008 ; Fletcher et al 2008 ; Hannoun et al 2010 ; Payne et al 2011 and Hay et al 2011). We believe our technology will lead to the scalable production of HLCs for drug discovery, disease modeling, the construction of extra-corporeal devices and possibly cell based transplantation therapies.     

Physical characterisation of the "Rac prophage" in E. coli K12.

Summary We confirm the hypothesis of Low (1973) that many E. coli K 12 strains contain a prophage (the Rac prophage) located a few minutes clockwise of the trp operon on the genetic map. We have used restriction endonucleases and ³²P-labelled probes to construct a physical map of this prophage. Some E. coli K 12 strains, including AB1157, have lost the entire prophage, apparently by a specific deletion. This is consistent with prophage excision by site-specific recombination. reverse (rev) phages (Zissler et al., 1971) are recombination proficient derivatives of phage in which the phage recombination functions have been replaced by analogous functions (RecE) derived from the host chromosome (Gottesman et al., 1974; Gillen et al., 1977). Our data support the origin of rev phages by recombination between and the Rac prophage following excision of the Rac prophage from the E. coli chromosome.Important experimental data are included in the Figure legends.     

The E. coli multitest: a set of strains to characterize diverse genotoxic effects

A set of E. coli strains was developed by Toman et al. (1985) to study the effects of chemical and physical agents on forward mutation, homologous recombination and induction of the SOS system. New tester strains have been constructed to improve this test system in order to explore quantitative genotoxicity spectra. Through the use of these strains: (i) SOS induction can be specifically detected without interference from mutagenesis; (ii) SOS-dependent and SOS-independent mutational events can be distinguished; (iii) the sensitivity of the recombination system has been considerably increased.     

Comparative analysis of 22 coronavirus HKU1 genomes reveals a novel genotype and evidence of natural recombination in coronavirus HKU1

We sequenced and compared the complete genomes of 22 strains of coronavirus HKU1 (CoV HKU1) obtained from nasopharyngeal aspirates of patients with respiratory tract infections over a 2-year period. Phylogenetic analysis of 24 putative proteins and polypeptides showed that the 22 CoV HKU1 strains fell into three clusters (genotype A, 13 strains; genotype B, 3 strains and genotype C, 6 strains). However, different phylogenetic relationships among the three clusters were observed in different regions of their genomes. From nsp4 to nsp6, the genotype A strains were clustered with the genotype B strains. For nsp7 and nsp8 and from nsp10 to nsp16, the genotype A strains were clustered with the genotype C strains. From hemagglutinin esterase (HE) to nucleocapsid (N), the genotype B strains were clustered closely with the genotype C strains. Bootscan analysis showed possible recombination between genotypes B and C from nucleotide positions 11,500 to 13,000, corresponding to the nsp6-nsp7 junction, giving rise to genotype A, and between genotypes A and B from nucleotide positions 21,500 to 22,500, corresponding to the nsp16-HE junction, giving rise to genotype C. Multiple alignments further narrowed the sites of crossover to a 143-bp region between nucleotide positions 11,750 and 11,892 and a 29-bp region between nucleotide positions 21,502 and 21,530. Genome analysis also revealed various numbers of tandem copies of a perfect 30-base acidic tandem repeat (ATR) which encodes NDDEDVVTGD and various numbers and sequences of imperfect repeats in the N terminus of nsp3 inside the acidic domain upstream of papain-like protease 1 among the 22 genomes. All 10 CoV HKU1 strains with incomplete imperfect repeats (1.4 and 4.4) belonged to genotype A. The present study represents the first evidence for natural recombination in coronavirus associated with human infection. Analysis of a single gene is not sufficient for the genotyping of CoV HKU1 strains but requires amplification and sequencing of at least two gene loci, one from nsp10 to nsp16 (e.g., pol or helicase) and another from HE to N (e.g., spike or N). Further studies will delineate whether the ATR is useful for the molecular typing of CoV HKU1.     

Molecular Mechanisms of Fibroblast Growth Factor Signaling in Physiology and Pathology

Fibroblast growth factors (FGFs) signal in a paracrine or endocrine fashion to mediate a myriad of biological activities, ranging from issuing developmental cues, maintaining tissue homeostasis, and regulating metabolic processes. FGFs carry out their diverse functions by binding and dimerizing FGF receptors (FGFRs) in a heparan sulfate (HS) cofactor- or Klotho coreceptor-assisted manner. The accumulated wealth of structural and biophysical data in the past decade has transformed our understanding of the mechanism of FGF signaling in human health and development, and has provided novel concepts in receptor tyrosine kinase (RTK) signaling. Among these contributions are the elucidation of HS-assisted receptor dimerization, delineation of the molecular determinants of ligand–receptor specificity, tyrosine kinase regulation, receptor cis-autoinhibition, and tyrosine trans-autophosphorylation. These structural studies have also revealed how disease-associated mutations highjack the physiological mechanisms of FGFR regulation to contribute to human diseases. In this paper, we will discuss the structurally and biophysically derived mechanisms of FGF signaling, and how the insights gained may guide the development of therapies for treatment of a diverse array of human diseases.Fibroblast growth factor (FGF) signaling fulfills essential roles in metazoan development and metabolism. A wealth of literature has documented the requirement for FGF signaling in multiple processes during embryogenesis, including implantation (Feldman et al. 1995), gastrulation (Sun et al. 1999), somitogenesis (Dubrulle and Pourquie 2004; Wahl et al. 2007; Lee et al. 2009; Naiche et al. 2011; Niwa et al. 2011), body plan formation (Martin 1998; Rodriguez Esteban et al. 1999; Tanaka et al. 2005; Mariani et al. 2008), morphogenesis (Metzger et al. 2008; Makarenkova et al. 2009), and organogenesis (Goldfarb 1996; Kato and Sekine 1999; Sekine et al. 1999; Sun et al. 1999; Colvin et al. 2001; Serls et al. 2005; Vega-Hernandez et al. 2011). Recent clinical and biochemical data have uncovered unexpected roles for FGF signaling in metabolic processes, including phosphate/vitamin D homeostasis (Consortium 2000; Razzaque and Lanske 2007; Nakatani et al. 2009; Gattineni et al. 2011; Kir et al. 2011), cholesterol/bile acid homeostasis (Yu et al. 2000a; Holt et al. 2003), and glucose/lipid metabolism (Fu et al. 2004; Moyers et al. 2007). Highlighting its diverse biology, deranged FGF signaling contributes to many human diseases, such as congenital craniosynostosis and dwarfism syndromes (Naski et al. 1996; Wilkie et al. 2002, 2005), Kallmann syndrome (Dode et al. 2003; Pitteloud et al. 2006a), hearing loss (Tekin et al. 2007, 2008), and renal phosphate wasting disorders (Shimada et al. 2001; White et al. 2001), as well as many acquired forms of cancers (Rand et al. 2005; Pollock et al. 2007; Gartside et al. 2009; di Martino et al. 2012). Endocrine FGFs have also been implicated in the progression of acquired metabolic disorders, including chronic kidney disease (Fliser et al. 2007), obesity (Inagaki et al. 2007; Moyers et al. 2007; Reinehr et al. 2012), and insulin resistance (Fu et al. 2004; Chen et al. 2008b; Chateau et al. 2010; Huang et al. 2011), giving rise to many opportunities for drug discovery in the field of FGF biology (Beenken and Mohammadi 2012).Based on sequence homology and phylogeny, the 18 mammalian FGFs are grouped into six subfamilies (Ornitz and Itoh 2001; Popovici et al. 2005; Itoh and Ornitz 2011). Five of these subfamilies act in a paracrine fashion, namely, the FGF1 subfamily (FGF1 and FGF2), the FGF4 subfamily (FGF4, FGF5, and FGF6), the FGF7 subfamily (FGF3, FGF7, FGF10, and FGF22), the FGF8 subfamily (FGF8, FGF17, and FGF18), and the FGF9 subfamily (FGF9, FGF16, and FGF20). In contrast, the FGF19 subfamily (FGF19, FGF21, and FGF23) signals in an endocrine manner (Beenken and Mohammadi 2012). FGFs exert their pleiotropic effects by binding and activating the FGF receptor (FGFR) subfamily of receptor tyrosine kinases that are coded by four genes (FGFR1, FGFR2, FGFR3, and FGFR4) in mammals (Johnson and Williams 1993; Mohammadi et al. 2005b). The extracellular domain of FGFRs consists of three immunoglobulin (Ig)-like domains (D1, D2, and D3), and the intracellular domain harbors the conserved tyrosine kinase domain flanked by the flexible amino-terminal juxtamembrane linker and carboxy-terminal tail (Lee et al. 1989; Dionne et al. 1991; Givol and Yayon 1992). A unique feature of FGFRs is the presence of a contiguous segment of glutamic and aspartic acids in the D1–D2 linker, termed the acid box (AB). The two-membrane proximal D2 and D3 and the intervening D2–D3 linker are necessary and sufficient for ligand binding/specificity (Dionne et al. 1990; Johnson et al. 1990), whereas D1 and the D1–D2 linker are implicated in receptor autoinhibition (Wang et al. 1995; Roghani and Moscatelli 2007; Kalinina et al. 2012). Alternative splicing and translational initiation further diversify both ligands and receptors. The amino-terminal regions of FGF8 and FGF17 can be differentially spliced to yield FGF8a, FGF8b, FGF8e, FGF8f (Gemel et al. 1996; Blunt et al. 1997), and FGF17a and FGF17b isoforms (Xu et al. 1999), whereas cytosine-thymine-guanine (CTG)-mediated translational initiation gives rise to multiple high molecular weight isoforms of FGF2 and FGF3 (Florkiewicz and Sommer 1989; Prats et al. 1989; Acland et al. 1990). The tissue-specific alternative splicing in D3 of FGFR1, FGFR2, and FGFR3 yields “b” and “c” receptor isoforms which, along with their temporal and spatial expression patterns, is the major regulator of FGF–FGFR specificity/promiscuity (Orr-Urtreger et al. 1993; Ornitz et al. 1996; Zhang et al. 2006). A large body of structural data on FGF–FGFR complexes has begun to reveal the intricate mechanisms by which different FGFs and FGFRs combine selectively to generate quantitatively and qualitatively different intracellular signals, culminating in distinct biological responses. In addition, these structural data have unveiled how pathogenic mutations hijack the normal physiological mechanisms of FGFR regulation to lead to pathogenesis. We will discuss the current state of the structural biology of the FGF–FGFR system, lessons learned from studying the mechanism of action of pathogenic mutations, and how the structural data are beginning to shape and advance the translational research.     

Mediation of T-Cell Activation by Actin Meshworks

Although the actin cytoskeleton and T-cell receptor (TCR) signaling complexes are seemingly distinct molecular structures, they are tightly integrated in T cells. The signaling pathways initiated by TCRs binding to peptide MHC complexes are extensively influenced by the actin cytoskeletal activities of the motile phase before TCR signaling, the signalosome scaffolding function of the cytoskeleton, and the translocation of signaling clusters that precedes the termination of signaling at these complexes. As these three successive phases constitute essentially all the steps consequent to immune synapse formation, it has become clear that the substantial physical forces and signaling interactions generated by the actin cytoskeleton dominate the signaling life cycle of TCR signalosomes. We discuss the contributions of the actin cytoskeleton to TCR signaling phases and model some remaining questions about how specific cytoskeletal factors regulate TCR signaling outcomes.The activation of T cells is controlled primarily by T-cell receptors (TCRs) interacting with peptide-loaded major histocompatibility complexes (pMHCs) as T cells scan the surface of antigen presenting cells (APCs). Because T cells are continuously motile cells that transit through lymph nodes in their surveillance, it is clear that TCR triggering must occur within the context of physical forces that might rapidly separate TCRs from agonist pMHCs. Moreover, crawling T cells do not truly come to rest at the surfaces of APCs following TCR engagement. Instead, they continuously extend protrusions over APCs and move along the surface of their partner (Gunzer et al. 2000). In their initial encounters with antigen-bearing dendritic cells (DCs), T cells also often rapidly couple and uncouple on the order of minutes, rather than dwelling for extended periods of time on single DCs (Gunzer et al. 2000; Mempel et al. 2004). This dynamic coupling allows T cells to quickly sample a large proportion of the total APC membrane pool in search of their cognate antigen. Still, these transient contacts are productive—they induce calcium fluxes and the expression of markers of activated T cells—indicating that TCR signalosome outputs can be initiated in mere minutes and survive the dissolution of contacts, even under the mechanical stress of cytoskeletal remodeling.TCR signaling requires the dynamic recruitment of a macromolecular complex of kinases, scaffolding molecules, and other signaling effectors to a triggered TCR. Assembly of this macromolecular signaling complex must be very sensitive and occur rapidly, or there is a risk that the TCR will release the pMHC ligand, and the T cell will fail to register the antigen hit. Conversely, the signalosome assembly mechanism needs to discriminate against TCRs interacting transiently with a vast array of pMHCs presenting nonagonist peptides. Viewed in this manner, a scheme that rapidly dissociates TCRs from MHCs loaded with endogenous peptide, freeing them to rebind and test other MHCs, is desirable. It is notable that several TCR signaling factors carry binding sites for actin binding proteins or actin itself (Rozdzial et al. 1995; Zhang et al. 1999; Zeng et al. 2003; Phee et al. 2005; Gomez et al. 2006). Through these actin-associated factors, agonist-triggered TCRs rapidly assemble stabilized signaling platforms that survive mechanical disruption.In concert with adhesive integrin interactions and costimulatory receptor signaling, TCRs orchestrate a reorganization of the T-cell plasma membrane that may begin with a handful of receptors and eventually encompasses the entire contact face with the APC (some 50–100 µm²). TCRs first aggregate into micron scale clusters of TCRs, then flow to the center of the contact face, generating the central supramolecular activating complex (cSMAC) of the immune synapse (Monks et al. 1998; Grakoui et al. 1999; Krummel et al. 2000). Underscoring the importance of the cytoskeleton, the actin depolymerizing toxins latrunculin A and cytochalasin D are potent inhibitors of T-cell activation and block both TCR microcluster formation and cSMAC coalescence (Wulfing et al. 1998; Grakoui et al. 1999; Krummel et al. 2000; Varma et al. 2006). Ultimately, it is the coordination of the local interactions between receptors and effectors with the cell morphological level rearrangements that determines the nature and magnitude of T-cell responses to pathogens. Regulation of TCR signaling lifecycles and T-cell responses, therefore, falls squarely on the actin cytoskeleton.     

Additional information on the linear order of the genes encoding the red blood group C-system antigens in cattle

A linear model for the genes controlling the system C blood group factors was presented by Bouw et al. (1974) and confirmed by Guerin et al. (1981). The relative order of the R and W genes was not established by either of these studies. A recently observed recombination in the C system is reported here, providing evidence for the positioning of the R and W genes.