Effectiveness of statins for secondary prevention in elderly patients after acute myocardial infarction: an evaluation of class effect

Background

Clinical trials have shown the benefits of statins after acute myocardial infarction (AMI). However, it is unclear whether different statins exert a similar effect in reducing the incidence of recurrent AMI and death when used in clinical practice.

Methods

We conducted a retrospective cohort study (1997–2002) to compare 5 statins using data from medical administrative databases in 3 provinces (Quebec, Ontario and British Columbia). We included patients aged 65 years and over who were discharged alive after their first AMI-related hospital stay and who began statin treatment within 90 days after discharge. The primary end point was the combined outcome of recurrent AMI or death from any cause. The secondary end point was death from any cause. Adjusted hazard ratios (HRs) for each statin compared with atorvastatin as the reference drug were estimated using Cox proportional hazards regression analysis.

Results

A total of 18 637 patients were prescribed atorvastatin (n = 6420), pravastatin (n = 4480), simvastatin (n = 5518), lovastatin (n = 1736) or fluvastatin (n = 483). Users of different statins showed similar baseline characteristics and patterns of statin use. The adjusted HRs (and 95% confidence intervals) for the combined outcome of AMI or death showed that each statin had similar effects when compared with atorvastatin: pravastatin 1.00 (0.90–1.11), simvastatin 1.01 (0.91– 1.12), lovastatin 1.09 (0.95–1.24) and fluvastatin 1.01 (0.80– 1.27). The results did not change when death alone was the end point, nor did they change after adjustment for initial daily dose or after censoring of patients who switched or stopped the initial statin treatment.

Interpretation

Our results suggest that, under current usage, statins are equally effective for secocondary prevention in elderly patients after AMI.Randomized controlled trials (RCTs) have shown that the use of statins after acute myocardial infarction (AMI) are effective in reducing the incidence of both fatal and nonfatal cardiovascular events.^{1,2,3,4,5,6,7,8} Although these trials have significantly influenced post-AMI treatment,^9,10,11,12 it remains unclear whether all statins are equally effective in preventing recurrent AMI and death. Drugs in the same class are generally thought to be therapeutically equivalent because of similar mechanisms of action (class effect).^13,14,15 However, in the absence of comparative data, this assumption requires evaluation. Statins differ in multiple characteristics, including liver and renal metabolism, half-life, effect on other serum lipid components, bioavailability and potency.^16,17,18,19 These differences could potentially influence the extent to which the drugs are beneficial. Despite limited evidence in support of a differential benefit of statins for secondary prevention, preferential prescribing already occurs in practice and cannot be fully explained by the existing evidence or guidelines.²⁰ Comparative data of statins are thus required to inform health care decision-making.A number of RCTs have directly compared statins using surrogate end points, such as lipid reduction,^21,22,23 markers of hemostasis and inflammation^24,25,26 or reduction in number of atherotic plaques.²⁷ However, the extent to which these results can be extrapolated to clinically relevant outcomes remains to be established. The newly released PROVE IT– TIMI 22 trial²⁸ was the first trial to compare 2 statins for cardiovascular prevention. The study showed that atorvastatin used at a maximal dose of 80 mg (intensive therapy) was better than pravastatin at a dose of 40 mg (standard therapy) in decreasing the incidence of cardiovascular events and procedures. The study was, however, conducted to show the benefit associated with increased treatment intensity. It did not compare the drugs by milligram-equivalent doses or by cholesterol-lowering equivalent doses. Moreover, no difference was detected when death alone or the combined outcome of death or AMI was evaluated. Other than the PROVE IT–TIMI 22 trial, few data are currently available from RCTs that compare statins for cardiovascular prevention.²⁹We conducted a population-based study to examine the relative effectiveness of different statins for long-term secondary prevention after AMI. We used retrospective cohorts of elderly patients prescribed statins after AMI in 3 provinces. Five statins were studied: atorvastatin, pravastatin, simvastatin, lovastatin and fluvastatin. The newest statin, rosuvastatin, was not available during the study period and was not considered in this study.     

Abundance of Novel and Diverse tfdA-Like Genes,Encoding Putative Phenoxyalkanoic Acid Herbicide-Degrading Dioxygenases,in Soil

Phenoxyalkanoic acid (PAA) herbicides are widely used in agriculture. Biotic degradation of such herbicides occurs in soils and is initiated by α-ketoglutarate- and Fe²⁺-dependent dioxygenases encoded by tfdA-like genes (i.e., tfdA and tfdAα). Novel primers and quantitative kinetic PCR (qPCR) assays were developed to analyze the diversity and abundance of tfdA-like genes in soil. Five primer sets targeting tfdA-like genes were designed and evaluated. Primer sets 3 to 5 specifically amplified tfdA-like genes from soil, and a total of 437 sequences were retrieved. Coverages of gene libraries were 62 to 100%, up to 122 genotypes were detected, and up to 389 genotypes were predicted to occur in the gene libraries as indicated by the richness estimator Chao1. Phylogenetic analysis of in silico-translated tfdA-like genes indicated that soil tfdA-like genes were related to those of group 2 and 3 Bradyrhizobium spp., Sphingomonas spp., and uncultured soil bacteria. Soil-derived tfdA-like genes were assigned to 11 clusters, 4 of which were composed of novel sequences from this study, indicating that soil harbors novel and diverse tfdA-like genes. Correlation analysis of 16S rRNA and tfdA-like gene similarity indicated that any two bacteria with D > 20% of group 2 tfdA-like gene-derived protein sequences belong to different species. Thus, data indicate that the soil analyzed harbors at least 48 novel bacterial species containing group 2 tfdA-like genes. Novel qPCR assays were established to quantify such new tfdA-like genes. Copy numbers of tfdA-like genes were 1.0 × 10⁶ to 65 × 10⁶ per gram (dry weight) soil in four different soils, indicating that hitherto-unknown, diverse tfdA-like genes are abundant in soils.Phenoxyalkanoic acid (PAA) herbicides such as MCPA (4-chloro-2-methyl-phenoxyacetic acid) and 2,4-D (2,4-dichlorophenoxyacetic acid) are widely used to control broad-leaf weeds in agricultural as well as nonagricultural areas (19, 77). Degradation occurs primarily under oxic conditions in soil, and microorganisms play a key role in the degradation of such herbicides in soil (62, 64). Although relatively rapidly degraded in soil (32, 45), both MCPA and 2,4-D are potential groundwater contaminants (10, 56, 70), accentuating the importance of bacterial PAA herbicide-degrading bacteria in soils (e.g., references 3, 5, 6, 20, 41, 59, and 78).Degradation can occur cometabolically or be associated with energy conservation (15, 54). The first step in the degradation of 2,4-D and MCPA is initiated by the product of cadAB or tfdA-like genes (29, 30, 35, 67), which constitutes an α-ketoglutarate (α-KG)- and Fe²⁺-dependent dioxygenase. TfdA removes the acetate side chain of 2,4-D and MCPA to produce 2,4-dichlorophenol and 4-chloro-2-methylphenol, respectively, and glyoxylate while oxidizing α-ketoglutarate to CO₂ and succinate (16, 17).Organisms capable of PAA herbicide degradation are phylogenetically diverse and belong to the Alpha-, Beta-, and Gammproteobacteria and the Bacteroidetes/Chlorobi group (e.g., references 2, 14, 29-34, 39, 60, 68, and 71). These bacteria harbor tfdA-like genes (i.e., tfdA or tfdAα) and are categorized into three groups on an evolutionary and physiological basis (34). The first group consists of beta- and gammaproteobacteria and can be further divided into three distinct classes based on their tfdA genes (30, 46). Class I tfdA genes are closely related to those of Cupriavidus necator JMP134 (formerly Ralstonia eutropha). Class II tfdA genes consist of those of Burkholderia sp. strain RASC and a few strains that are 76% identical to class I tfdA genes. Class III tfdA genes are 77% identical to class I and 80% identical to class II tfdA genes and linked to MCPA degradation in soil (3). The second group consists of alphaproteobacteria, which are closely related to Bradyrhizobium spp. with tfdAα genes having 60% identity to tfdA of group 1 (18, 29, 34). The third group also harbors the tfdAα genes and consists of Sphingomonas spp. within the alphaproteobacteria (30).Diverse PAA herbicide degraders of all three groups were identified in soil by cultivation-dependent studies (32, 34, 41, 78). Besides CadAB, TfdA and certain TfdAα proteins catalyze the conversion of PAA herbicides (29, 30, 35). All groups of tfdA-like genes are potentially linked to the degradation of PAA herbicides, although alternative primary functions of group 2 and 3 TfdAs have been proposed (30, 35). However, recent cultivation-independent studies focused on 16S rRNA genes or solely on group 1 tfdA sequences in soil (e.g., references 3-5, 13, and 41). Whether group 2 and 3 tfdA-like genes are also quantitatively linked to the degradation of PAA herbicides in soils is unknown. Thus, tools to target a broad range of tfdA-like genes are needed to resolve such an issue. Primers used to assess the diversity of tfdA-like sequences used in previous studies were based on the alignment of approximately 50% or less of available sequences to date (3, 20, 29, 32, 39, 47, 58, 73). Primers specifically targeting all major groups of tfdA-like genes to assess and quantify a broad diversity of potential PAA degraders in soil are unavailable. Thus, the objectives of this study were (i) to develop primers specific for all three groups of tfdA-like genes, (ii) to establish quantitative kinetic PCR (qPCR) assays based on such primers for different soil samples, and (iii) to assess the diversity and abundance of tfdA-like genes in soil.     

Fluorescence In Situ Hybridization Method Using a Peptide Nucleic Acid Probe for Identification of Salmonella spp. in a Broad Spectrum of Samples

A fluorescence in situ hybridization (FISH) method for the rapid detection of Salmonella spp. using a novel peptide nucleic acid (PNA) probe was developed. The probe theoretical specificity and sensitivity were both 100%. The PNA-FISH method was optimized, and laboratory testing on representative strains from the Salmonella genus subspecies and several related bacterial species confirmed the predicted theoretical values of specificity and sensitivity. The PNA-FISH method has been successfully adapted to detect cells in suspension and is hence able to be employed for the detection of this bacterium in blood, feces, water, and powdered infant formula (PIF). The blood and PIF samples were artificially contaminated with decreasing pathogen concentrations. After the use of an enrichment step, the PNA-FISH method was able to detect 1 CFU per 10 ml of blood (5 × 10⁹ ± 5 × 10⁸ CFU/ml after an overnight enrichment step) and also 1 CFU per 10 g of PIF (2 × 10⁷ ± 5 × 10⁶ CFU/ml after an 8-h enrichment step). The feces and water samples were also enriched according to the corresponding International Organization for Standardization methods, and results showed that the PNA-FISH method was able to detect Salmonella immediately after the first enrichment step was conducted. Moreover, the probe was able to discriminate the bacterium in a mixed microbial population in feces and water by counter-staining with 4′,6-diamidino-2-phenylindole (DAPI). This new method is applicable to a broad spectrum of samples and takes less than 20 h to obtain a diagnosis, except for PIF samples, where the analysis takes less than 12 h. This procedure may be used for food processing and municipal water control and also in clinical settings, representing an improved alternative to culture-based techniques and to the existing Salmonella PNA probe, Sal23S10, which presents a lower specificity.Salmonella spp. are enteropathogenic bacteria that cause diseases that range from a mild gastroenteritis to systemic infections (5, 18) The disease severity is determined by the virulence characteristics of the Salmonella strain, host species, and host health condition. Phylogenetic analysis has demonstrated that the genus Salmonella includes two species: Salmonella bongori and Salmonella enterica. Salmonella strains are conventionally identified and classified according to the Kauffmann-White serotyping scheme, which is based on antigenic variation in the outer membrane (23). To date, more than 2,500 Salmonella serovars have been identified, and most of them are capable of infecting a wide variety of animal species and humans (33). Salmonella can be transmitted directly by person to person via the fecal-oral route or by contact with external reservoirs if fecal contamination of soil, water, and foods occurs. It is therefore necessary to develop robust detection methods for all of these sample types.The diagnostic method currently used for Salmonella detection is bacterial culture (International Organization for Standardization [ISO] method 6579:2002), a time-consuming and laborious process (40). A rapid and reliable tool to assist disease control management should aim to reduce salmonellosis in both people and animals. For this purpose a number of assays, such as the enzyme-linked immunosorbent assay (ELISA), PCR, and fluorescence in situ hybridization (FISH), have been developed to decrease the time required to identify Salmonella in food, feces, water, and other clinical samples (8, 10, 14, 15, 25, 26, 31, 41).Several authors have compared some of these approaches, especially culture-based, ELISA, and PCR methods, for Salmonella detection. Some authors found that PCR and ELISA-based methods failed to detect some samples that were positive by culture method (12, 13, 36, 39, 40). Even so, PCR-based methods have proved to be more accurate. Other work showed that when a selective enrichment step was performed before PCR, all Salmonella samples recovered by the culture method were detected. Moreover, the presence of Salmonella that was not recovered by the culture method could be detected by PCR (13, 35). These studies revealed that the enrichment step could increase the molecular assay sensitivity by eliminating problems such as the low numbers of bacteria and the presence of inhibitory substances in certain types of samples, such as food and fecal matter (11, 28, 36). However, PCR-based methods usually require a DNA extraction step, and none of the methods referred to above allows a direct, in situ visualization of the bacterium within the sample.FISH is a molecular assay widely applied for bacterial identification and localization within samples (2, 3). The method is usually based on the specific binding of nucleic acid probes to particular RNAs, due to their higher numbers of copies in the cells. There are already some studies reporting Salmonella detection by FISH using DNA probes (21, 29). A recently developed synthetic DNA analogue, named peptide nucleic acid (PNA), capable of hybridizing to complementary nucleic acid targets, has made FISH procedures easier and more efficient (38, 42). PNA-FISH methods have been successfully applied to the detection of several pathogenic microorganisms (6, 16, 17, 19, 22, 30, 34, 37, 42). For Salmonella, a PNA probe, designated Sal23S10, that targets the 23S rRNA of both Salmonella species has been already developed (31). However, the probe is also complementary to Actinobacillus actinomycetemcomitans, Buchnera aphidicola, and Haemophilus influenzae 23S rRNAs.In this paper, we identify and describe the design of a new fluorescently labeled PNA probe for the specific identification of the Salmonella genus. A novel, rapid, and reliable PNA-FISH method that can be easily applied to a great variety of sample types, either clinical or environmental, has consequently been developed and optimized.     

Genome-Derived Criteria for Assigning Environmental narG and nosZ Sequences to Operational Taxonomic Units of Nitrate Reducers

Ninety percent of cultured bacterial nitrate reducers with a 16S rRNA gene similarity of ≥97% had a narG or nosZ similarity of ≥67% or ≥80%, respectively, suggesting that 67% and 80% could be used as standardized, conservative threshold similarity values for narG and nosZ, respectively (i.e., any two sequences that are less similar than the threshold similarity value have a very high probability of belonging to different species), for estimating species-level operational taxonomic units. Genus-level tree topologies of narG and nosZ were generally similar to those of the corresponding 16S rRNA genes. Although some genomes contained multiple copies of narG, recent horizontal gene transfer of narG was not apparent.Nitrate reducers (i.e., both dissimilatory nitrate reducers and denitrifiers) reduce nitrate to nitrite, which can then be reduced to ammonium by dissimilatory nitrate reducers or sequentially reduced to nitric oxide, nitrous oxide, and dinitrogen by denitrifiers (29). narG codes for the alpha subunit of the dissimilatory nitrate reductase, which reduces nitrate to nitrite and is thus common to both dissimilatory nitrate reducers and denitrifiers (29). nosZ codes for nitrous oxide reductase, which reduces nitrous oxide to dinitrogen and is common to denitrifiers but not dissimilatory nitrate reducers (29). Both narG and nosZ are commonly used as gene markers for community level analysis of nitrate reducers (2, 8, 9, 16, 18, 19, 20, 25). However, standardized criteria for assigning environmental narG and nosZ sequences to operational taxonomic units (OTUs) are required so that diverse data sets on nitrate-reducing communities can be normalized. The widespread ability of bacteria and archaea to denitrify (29) complicates the development of such criteria for genes involved in denitrification. Some closely related narG and closely related nosZ genes occur in distantly related taxa, and narG or nosZ phylogenies do not always reflect 16S rRNA phylogenies (17). However, nosZ-based phylogenies in general have a high degree of congruency with 16S rRNA gene-based phylogenies (3, 10, 30), and recent horizontal gene transfer of nosZ seems unlikely (10), indicating that denitrifier structural genes might be used for estimating the species-level novelty, as well as species-level diversity, of denitrifiers in environmental samples. The limited amount of data on horizontal gene transfer of narG (4, 24) identifies a need to extend such an approach to this gene. The limited number of studies that have compared 16S rRNA with narG or nosZ phylogenies accentuates the need for a more thorough analysis of the phylogenetic relatedness of these three genes (3, 4, 7). Thus, the main objectives of this study were to (i) resolve criteria for standardizing OTU assignment of environmental narG and nosZ sequences, (ii) determine whether those criteria can be used as indicators of novel species, and (iii) investigate the impact of horizontal gene transfer on narG.     

Sti1 Regulation of Hsp70 and Hsp90 Is Critical for Curing of Saccharomyces cerevisiae [PSI+] Prions by Hsp104

Although propagation of Saccharomyces cerevisiae prions requires Hsp104 protein disaggregating activity, overproducing Hsp104 “cures” cells of [PSI⁺] prions. Earlier evidence suggests that the Hsp70 mutant Ssa1-21 impairs [PSI⁺] by a related mechanism. Here, we confirm this link by finding that deletion of STI1 both suppresses Ssa1-21 impairment of [PSI⁺] and blocks Hsp104 curing of [PSI⁺]. Hsp104''s tetratricopeptide repeat (TPR) interaction motif was dispensable for curing; however, cells expressing Sti1 defective in Hsp70 or Hsp90 interaction cured less efficiently, and the Hsp90 inhibitor radicicol abolished curing, implying that Sti1 acts in curing through Hsp70 and Hsp90 interactions. Accordingly, strains lacking constitutive or inducible Hsp90 isoforms cured at reduced rates. We confirm an earlier finding that elevating free ubiquitin levels enhances curing, but it did not overcome inhibition of curing caused by Hsp90 defects, suggesting that Hsp90 machinery is important for the contribution of ubiquitin to curing. We also find curing associated with cell division. Our findings point to crucial roles of Hsp70, Sti1, and Hsp90 for efficient curing by overexpressed Hsp104 and provide evidence supporting the earlier suggestion that destruction of prions by protein disaggregation does not adequately explain the curing.Saccharomyces cerevisiae prions are self-replicating misfolded forms of normal cellular proteins. They are believed to propagate as amyloid, which is a highly ordered fibrous aggregate. What triggers prion formation is uncertain, but in order to be maintained in an expanding yeast population, prions must grow, replicate, and be transmitted to daughter cells during cell division. Growth occurs when soluble protein joins the fiber ends and is converted into the prion form (30, 52, 58). Replication is associated with fragmentation of prion polymers, which generates new prions from preexisting material (37, 50). Transmission is believed to occur by passive diffusion of prions with cytoplasm (57).Although it is uncertain to what extent cellular factors influence growth or transmission of prions, it is clear that the Hsp104 disaggregation machinery is necessary for prion replication (10, 17, 55, 70). Hsp104 is a hexameric AAA+ chaperone that protects cells from a variety of stresses by resolubilizing proteins from aggregates (24, 25, 53). With help from Hsp70 and Hsp40, it extracts monomers from aggregates and extrudes them through its central pore (24, 41, 68). This machinery could act in prion replication by extracting monomers from amyloid fibers (29, 68), which would destabilize the fibers, causing them to break into more numerous pieces that each can continue to propagate the prion.Paradoxically, overexpressing Hsp104 very efficiently “cures” cells of the [PSI⁺] prion, which is composed of the translation termination factor Sup35 (10). A widely held view of this curing is that elevating the cellular protein disaggregation activity causes complete destruction of prions. However, elevating Hsp104 has little or no effect on most other amyloidogenic prions (15, 16, 38, 47, 54, 66), although it can be inferred to cure [MCA] prions in cells also propagating a prion of an Mca1-Sup35 fusion (49). Together, these results suggest that prions of Sup35, and perhaps those of Mca1, are particularly sensitive to Hsp104 disaggregation activity. Alternatively, something in addition to or other than a simple increase in protein disaggregation is involved in the curing.Although protein disaggregation activity of Hsp104 is required for both thermotolerance and prion propagation, we and others have identified mutations in Hsp104 that affect these processes separately (27, 32, 39, 60). The ability of Hsp104 to thread proteins through its central pore, however, is required for both processes (29, 41, 68), so this distinction in Hsp104 function could be due to differences in how Hsp104 interacts with amorphous aggregates of thermally denatured proteins and highly ordered prion aggregates or with cofactors that interact with the different prions as substrates. In any scenario, efficiency and specificity of Hsp104 function are affected by interactions with other components of the disaggregation machinery, in particular the Hsp70s and Hsp40s, which are believed to interact first with substrates to facilitate action of Hsp100 family disaggregases (2, 71, 72).Increasing expression of either ubiquitin (Ub) or Ssb, an Hsp70 that has roles in protein translation and proteasome degradation, enhances Hsp104 curing of [PSI⁺] (3, 11, 12). Predictably, reducing expression of either of them reduces curing efficiency. The mechanisms underlying these effects are unknown, but the combined effects of Ssb and Ub are additive, suggesting that they act in different pathways. The role of Ub is indirect, as Sup35 is neither ubiquitylated nor degraded during curing. Whether other chaperones are involved in the effects of Ub on curing has not been investigated.Earlier we isolated a mutant of the Hsp70 Ssa1, designated Ssa1-21, that weakens and destabilizes [PSI⁺] propagation (33). We later isolated several Hsp104 mutants that suppress this antiprion effect (29). The Hsp104 mutants retain normal functions in thermotolerance, protein disaggregation, and prion propagation, but when overexpressed, they are unable to cure [PSI⁺], even in wild-type cells. These findings argue against a specific hypersensitivity of [PSI⁺] to disaggregation and support the notion that something distinct from or in addition to complete destruction of prions is involved in the curing. They also imply that Ssa1-21 and elevated Hsp104 inhibit [PSI⁺] prions by similar mechanisms. A prediction from this conclusion is that other suppressors of Ssa1-21 will also inhibit curing of [PSI⁺] by overexpressed Hsp104. Indeed, we find here that alterations that suppress Ssa1-21 inhibition of [PSI⁺] do interfere with curing of [PSI⁺] by overexpressed Hsp104. We also provide evidence that Hsp90 has a critical role in this curing and that the ability of Ub to enhance curing depends on proper function of Hsp90 machinery.     

Direct-Imaging-Based Quantification of Bacillus cereus ATCC 14579 Population Heterogeneity at a Low Incubation Temperature

Bacillus cereus ATCC 14579 was cultured in microcolonies on Anopore strips near its minimum growth temperature to directly image and quantify its population heterogeneity at an abusive refrigeration temperature. Eleven percent of the microcolonies failed to grow during low-temperature incubation, and this cold-induced population heterogeneity could be partly attributed to the loss of membrane integrity of individual cells.Bacillus cereus is a food poisoning- and food spoilage-causing organism that can be found in a large variety of foods (4, 23). There are two illnesses associated with B. cereus, namely, emetic and diarrheal intoxication (17, 24). Most of the strains related to cases or outbreaks of B. cereus food-borne poisoning were shown to be unable to grow at 7°C (1, 12). The average temperatures of domestic refrigerators have been investigated in various surveys around the world and often ranged from 5°C to 7°C, but extreme values exceeded 10°C to 12°C (5, 16). Inadequate chilling was indeed reported in various incidents of B. cereus food-borne illness (7, 8, 18, 19), pointing to the importance of appropriate refrigeration of foods contaminated with B. cereus to control its growth and toxin production in foods (9).Several studies have demonstrated that microorganisms can show diversity in their population stress response, even in an apparently homogeneous stress environment (6, 11, 21, 22). However, only very limited data describing the heterogeneity in growth performance of individual cells from food-borne pathogens cultured at low temperatures are available (10). Because inadequate chilling of food is one of the factors that contribute to the number of incidents of B. cereus food-borne illness, there is a need for better understanding of its growth performance at lowered incubation temperatures. In this study, we used the direct-imaging-based Anopore technology (6, 13-15) to quantitatively describe the population heterogeneity of B. cereus ATCC 14579 cells at 12°C. The minimum temperature for the growth of B. cereus ATCC 14579 in brain heart infusion (BHI) broth is 7.5°C (personal communication from F. Carlin), but various food-borne-associated B. cereus isolates were shown to be unable to grow at 10°C (1). Therefore, in this study, a culturing temperature of 12°C was chosen, to mimic temperature abuse of refrigerated foods. In addition, the membrane integrity of individual cells was assessed using both membrane permeant and impermeant nucleic acid dyes in order to get more insight into cellular characteristics that may contribute to heterogeneity in growth response.     

CO2 Uptake and Fixation by a Thermoacidophilic Microbial Community Attached to Precipitated Sulfur in a Geothermal Spring

Carbon fixation at temperatures above 73°C, the upper limit for photosynthesis, is carried out by chemosynthetic thermophiles. Yellowstone National Park (YNP), Wyoming possesses many thermal features that, while too hot for photosynthesis, presumably support chemosynthetic-based carbon fixation. To our knowledge, in situ rates of chemosynthetic reactions at these high temperatures in YNP or other high-temperature terrestrial geothermal springs have not yet been reported. A microbial community attached to precipitated elemental sulfur (S^o floc) at the source of Dragon Spring (73°C, pH 3.1) in Norris Geyser Basin, YNP, exhibited a maximum rate of CO₂ uptake of 21.3 ± 11.9 μg of C 10⁷ cells⁻¹ h⁻¹. When extrapolated over the estimated total quantity of S^o floc at the spring''s source, the S^o floc-associated microbial community accounted for the uptake of 121 mg of C h⁻¹ at this site. On a per-cell basis, the rate was higher than that calculated for a photosynthetic mat microbial community dominated by Synechococcus spp. in alkaline springs at comparable temperatures. A portion of the carbon taken up as CO₂ by the S^o floc-associated biomass was recovered in the cellular nucleic acid pool, demonstrating that uptake was coupled to fixation. The most abundant sequences in a 16S rRNA clone library of the S^o floc-associated community were related to chemolithoautotrophic Hydrogenobaculum strains previously isolated from springs in the Norris Geyser Basin. These microorganisms likely contributed to the uptake and fixation of CO₂ in this geothermal habitat.The upper temperature limit for primary production via photosynthesis is ∼73°C (7, 8, 11). At this temperature, photosynthesis is restricted to cyanobacteria of the genus Synechococcus, which generally inhabit alkaline environments (11). In acidic environments (pH < 4.0), the upper temperature limit for photosynthetic-based primary production is ∼56°C. Under these conditions, phototrophic activity is restricted to the unicellular eukaryotic red algae Cyanidium, Galdieria, and Cyanidioschyzon, collectively referred to as “cyanidia” (6, 12, 31, 48). Primary production above this temperature in acidic environments occurs through chemoautotrophy, a metabolism restricted to prokaryotes.Yellowstone National Park (YNP), WY, possesses numerous high-temperature (73 to 93°C) geothermal environments that are thought to support communities of microorganisms through chemoautotrophic-based primary production. Evidence for chemosynthesis in these environments is based on the recovery of 16S rRNA gene sequences that are affiliated with cultivated representatives of the phyla Aquificae and Crenarchaeota, many of which are capable of CO₂ fixation via the oxidation of hydrogen (H₂) and/or sulfide (HS⁻) (15, 17, 21, 24, 26, 28, 41, 46). Surprisingly, CO₂ fixation has yet to be demonstrated in situ in YNP hot spring environments (acidic or alkaline) where temperatures exceed the limits of photosynthesis and where primary production is thought to be driven by chemoautotrophic metabolism (14, 15, 28, 29).Dragon Spring, an acid-sulfate-chloride (ASC) spring located in the Norris Geyser Basin of YNP, is a likely habitat for chemoautotrophic primary production. The pH of the water is ∼3.1, and the temperature of the water at the source fluctuates from 65 to 78°C, which is well above the upper temperature limit for photosynthesis under acidic conditions. Potential electron donors for chemolithoautotrophic growth in the source water include hydrogen (H₂) and sulfide (S²⁻) at concentrations of 13 nM and 65 μM, respectively (15). In addition, submerged substrata at the spring''s source are blanketed by precipitates of elemental sulfur (S°), hereafter referred to as S^o floc (23). Inventories of bacterial and archaeal 16S rRNA genes recovered from S^o floc collected from the source of Dragon Spring indicate the presence of Crenarchaeota and Aquificae (4, 15). The latter are related to chemolithoautotrophic Hydrogenobaculum spp., representatives of which have recently been isolated from the spring (15). In the present study, we demonstrate uptake and fixation of CO₂ at a temperature of 73°C by a Hydrogenobaculum-dominated microbial community associated with S^o floc collected from the source of Dragon Spring. This is the first direct evidence of CO₂ uptake in situ by a thermoacidophilic microbial community at a temperature that precludes photosynthesis in terrestrial geothermal springs.     

Diversity and Abundance of Zoonotic Pathogens and Indicators in Manures of Feedlot Cattle in Australia

The occurrence of 10 pathogens and three fecal indicators was assessed by quantitative PCR in manures of Australian feedlot cattle. Most samples tested positive for one or more pathogens. For the dominant pathogens Campylobacter jejuni, Listeria monocytogenes, Giardia spp., Cryptosporidium spp., and eaeA-positive Escherichia coli, 10² to 10⁷ genome copies g⁻¹ (dry weight) manure were recovered.More than 600,000 tons of feedlot cattle manure are generated each year in Australia, which raises concern for potential water, air, and soil contamination (21, 27). Hence, better monitoring and knowledge of the resulting risks are needed (5, 26). Most zoonotic pathogens associated with cattle are well described in the literature, especially those of major health significance, including the bacterial pathogens Campylobacter spp., Listeria monocytogenes, pathogenic Escherichia coli (particularly serotypes O157 and O111), Salmonella enterica, Yersinia spp., Leptospira spp., Coxiella burnetii, Mycobacterium avium subsp. paratuberculosis, and the parasitic protozoa Giardia lamblia and Cryptosporidium parvum (2, 21, 27). While studies of pathogen occurrence in manure are numerous, data suited to quantitatively estimating end user risks are still limited. Few surveys quantify multiple pathogens (11, 12, 14, 28), and none have concurrently measured all 10 above in cattle manure. A further constraint on risk assessment is that most data were generated in North America or Europe, where cli-mate and environment can differ markedly from Australian conditions.Addressing this knowledge gap now appears feasible, as real-time quantitative PCR (qPCR) can be used as an alternative to culture-based methods for quantifying environmental pathogens (7, 23, 29). Improvements in sample preparation and nucleic acid cleanup methods have largely overcome problems associated with the molecular biology-based analysis of fecal matter (22). Further, qPCR can detect stressed, damaged, and otherwise nonculturable cells persisting in a state of dormancy or indeed dead (15, 17, 29). The aim of this paper is to report on a quantitative survey of zoonotic pathogens and indicators in manures from Australian feedlot beef cattle.A total of 128 composited samples (five subsamples each) representing fresh feces (n = 32), pen manure (n = 32), harvested pen manure (n = 28), stockpiled manure (n = 23), composted manure (n = 6), and carcass compost (n = 7) were collected from five cattle feedlots in eastern Australia in the winter/summer of 2009 (13). All samples were assayed for the 10 key pathogens listed above and also fecal indicators (total coliforms, E. coli, and enterococci).     

Spatiotemporal Homogeneity of Campylobacter Subtypes from Cattle and Sheep across Northeastern and Southwestern Scotland

Source attribution using molecular subtypes has implicated cattle and sheep as sources of human Campylobacter infection. Whether the Campylobacter subtypes associated with cattle and sheep vary spatiotemporally remains poorly known, especially at national levels. Here we describe spatiotemporal patterns of prevalence, bacterial enumeration, and subtype composition in Campylobacter isolates from cattle and sheep feces from northeastern (63 farms, 414 samples) and southwestern (71 farms, 449 samples) Scotland during 2005 to 2006. Isolates (201) were categorized as sequence type (ST), as clonal complex (CC), and as Campylobacter jejuni or Campylobacter coli using multilocus sequence typing (MLST). No significant difference in average prevalence (cattle, 22%; sheep, 25%) or average enumeration (cattle, 2.7 × 10⁴ CFU/g; sheep, 2.0 × 10⁵ CFU/g) was found between hosts or regions. The four most common STs (C. jejuni ST-19, ST-42, and ST-61 and C. coli ST-827) occurred in both hosts, whereas STs of the C. coli ST-828 clonal complex were more common in sheep. Neither host yielded evidence for regional differences in ST, CC, or MLST allele composition. Isolates from the two hosts combined, categorized as ST or CC, were more similar within than between farms but showed no further spatiotemporal trends up to 330 km and 50 weeks between farm samples. In contrast, both regions yielded evidence for significant differences in ST, CC, and allele composition between hosts, such that 65% of isolates could be attributed to a known host. These results suggest that cattle and sheep within the spatiotemporal scales analyzed are each capable of contributing homogeneous Campylobacter strains to human infections.Campylobacter species are the largest cause of bacterial intestinal infection in the developed and developing world (3). Almost all reported human Campylobacter infections in the United Kingdom are caused by Campylobacter jejuni, which accounts for approximately 92% of cases, and Campylobacter coli, which accounts for most of the rest (8). Campylobacter species are carried asymptomatically in a wide range of host animals and excreted into the environment in feces (23). Humans can be infected by several routes including consumption of contaminated water (14) or food (23); indeed, case control studies indicate that consumption of poultry meat is a risk factor (11, 12, 28), but other foods including unpasteurized milk (33) and meat from cattle and sheep contaminated at the abattoir might be important (30).Cattle and sheep on farms are major hosts of Campylobacter, with up to 89% of cattle herds (31) and up to 55% of sheep flocks (26) being infected. The prevalence of C. jejuni and C. coli combined, estimated at the level of individual animals from fecal specimens, is 23 to 54% in cattle (22, 25) and up to 20% in sheep (37). Campylobacter enumeration in feces shed from individual animals ranges from <10² to 10⁷ CFU/g in both hosts (31), and the concentration shed varies with time. Meat products of cattle and sheep, by contrast, have generally lower levels of Campylobacter contamination. Prevalence values are 0.5 to 4.9% in surveys of retail beef (11a, 17, 36) and 6.9 to 12.6% in surveys of retail lamb and mutton (17, 35).Clinical Campylobacter strains can be attributed to infection sources in animals by comparing subtype frequencies in clinical cases with those in different candidate sources, including cattle, sheep, pigs, and the physical environment. Campylobacter subtype data sets are most transferable when subtypes are defined as sequence type (ST) using multilocus sequence typing (MLST). Three recent MLST-based studies based in northwestern England (34), mainland Scotland (29), northeastern Scotland (32), and New Zealand (24) have used source attribution models to infer the source of human clinical infection. The results suggest that retail chicken is the source with the highest (55 to 80%) attribution while cattle and sheep combined are ranked second (20 to 40%). These attribution models require further empirical validation but appear to be showing broadly similar results.Attribution of human Campylobacter infections to cattle and sheep raises the question of whether Campylobacter subtypes infecting farm cattle and sheep are generally homogeneous or tend to have spatiotemporal structure. Regarding spatial differences, isolates of C. jejuni from a 100-km² study of farmland area with dairy cattle and sheep in northwestern England displayed increased genetic similarity up to 1 km apart but no further trend over distances of 1 to 14 km apart (7), and isolates from three dairy cattle farms 2 or 5 km apart in the same area demonstrated differences in the frequencies of strains of clonal complexes (CCs) ST-42 and ST-61 (15). Regarding temporal differences, isolates of C. jejuni from five dairy cattle farms in the same area demonstrated differences in the frequency of strains of CC ST-61 between the spring and summer of 2003 (15). Lastly, regarding host-associated strains, STs of CCs ST-21, ST-42, and ST-61 are associated with cattle, and the more limited data for STs from sheep also show the presence of ST-21 and ST-61 (7, 15).The larger-scale spatiotemporal structure of Campylobacter strains from cattle and sheep is poorly known. The main aims of the present study were (i) to characterize C. jejuni and C. coli from cattle and sheep from two distinct geographical Scottish regions in terms of Campylobacter prevalence and enumeration and C. jejuni and C. coli ST composition and (ii) to estimate the extent of host association of C. jejuni and C. coli STs from cattle versus sheep.     

Characterization of the PduS Cobalamin Reductase of Salmonella enterica and Its Role in the Pdu Microcompartment

Salmonella enterica degrades 1,2-propanediol (1,2-PD) in a coenzyme B₁₂ (adenosylcobalamin, AdoCbl)-dependent fashion. Salmonella obtains AdoCbl by assimilation of complex precursors, such as vitamin B₁₂ and hydroxocobalamin. Assimilation of these compounds requires reduction of their central cobalt atom from Co³⁺ to Co²⁺ to Co⁺, followed by adenosylation to AdoCbl. In this work, the His₆-tagged PduS cobalamin reductase from S. enterica was produced at high levels in Escherichia coli, purified, and characterized. The anaerobically purified enzyme reduced cob(III)alamin to cob(II)alamin at a rate of 42.3 ± 3.2 μmol min⁻¹ mg⁻¹, and it reduced cob(II)alamin to cob(I)alamin at a rate of 54.5 ± 4.2 nmol min⁻¹ mg⁻¹ protein. The apparent K_m values of PduS-His₆ were 10.1 ± 0.7 μM for NADH and 67.5 ± 8.2 μM for hydroxocobalamin in cob(III)alamin reduction. The apparent K_m values for cob(II)alamin reduction were 27.5 ± 2.4 μM with NADH as the substrate and 72.4 ± 9.5 μM with cob(II)alamin as the substrate. High-performance liquid chromatography (HPLC) and mass spectrometry (MS) indicated that each monomer of PduS contained one molecule of noncovalently bound flavin mononucleotide (FMN). Genetic studies showed that a pduS deletion decreased the growth rate of Salmonella on 1,2-PD, supporting a role in cobalamin reduction in vivo. Further studies demonstrated that the PduS protein is a component of the Pdu microcompartments (MCPs) used for 1,2-PD degradation and that it interacts with the PduO adenosyltransferase, which catalyzes the terminal step of AdoCbl synthesis. These studies further characterize PduS, an unusual MCP-associated cobalamin reductase, and, in conjunction with prior results, indicate that the Pdu MCP encapsulates a complete cobalamin assimilation system.Coenzyme B₁₂ (adenosylcobalamin, AdoCbl) is an indispensable cofactor for a variety of enzymes that are widely distributed among microbes and higher animals (2, 55). Organisms obtain AdoCbl by de novo synthesis or by assimilation of complex precursors, such as vitamin B₁₂ (cyanocobalamin, CN-Cbl) and hydroxocobalamin (OH-Cbl), which can be enzymatically converted to AdoCbl. De novo synthesis occurs only in prokaryotes, but the assimilation of complex precursors is more widespread, taking place in many microbes and in higher animals (56). A model for the assimilation of CN-Cbl and OH-Cbl to AdoCbl, based on work done in a number of laboratories, is shown in Fig. ​Fig.1.1. CN-Cbl is first reductively decyanated to cob(II)alamin (22, 30, 68). Next, cob(II)alamin is reduced to cob(I)alamin, and ATP:cob(I)alamin adenosyltransferase (ATR) transfers a 5′ deoxyadenosyl group from ATP to cob(I)alamin to form AdoCbl (10, 11, 28, 29, 35, 63, 64, 72). Studies indicate that prior to reduction cob(II)alamin binds the ATR and undergoes a transition to the 4-coordinate base-off conformer (41, 48, 59, 61, 62). Transition to the 4-coordinate state raises the midpoint potential of the cob(II)alamin/cob(I)alamin couple by about 250 mV, facilitating reduction (60). OH-Cbl assimilation occurs by a similar pathway except that the first step is reduction of OH-Cbl to cob(II)alamin by cobalamin reductase or by the reducing environment of the cell (19, 69).Open in a separate windowFIG. 1.Cobalamin assimilation and recycling pathway. Many organisms are able to take up CN-Cbl and OH-Cbl and convert them to the active coenzyme form, AdoCbl. This process involves reduction of the central cobalt atom of the corrin ring followed by addition of a 5′ deoxyadenosyl (Ado) group via a carbon-cobalt bond. The Ado group is unstable in vivo, and AdoCbl breaks down to form OH-Cbl. Consequently, cobalamin recycling is required for AdoCbl-dependent processes, and recycling uses the same pathway that functions in the assimilation of cobalamin from the environment. PPPi, triphosphate.The pathway used for the assimilation of OH-Cbl and CN-Cbl is also used for intracellular cobalamin recycling. During catalysis the adenosyl group of AdoCbl is periodically lost due to by-reactions and is usually replaced by a hydroxyl group, resulting in the formation of an inactive OH-Cbl enzyme complex (66). Cobalamin recycling begins with a reactivase that converts the inactive OH-Cbl-enzyme complex to OH-Cbl and apoenzyme (43, 44). Next, the process described in Fig. ​Fig.11 converts OH-Cbl to AdoCbl, which spontaneously associates with apoenzyme to form active holoenzyme (43, 44, 66). In the organisms that have been studied, cobalamin recycling is essential, and genetic defects in this process block AdoCbl-dependent metabolism (3, 16, 29).Salmonella enterica degrades 1,2-propanediol (1,2-PD) via an AdoCbl-dependent pathway (27). 1,2-PD is a major product of the anaerobic degradation of common plant sugars rhamnose and fucose and is thought to be an important carbon and energy source in natural environments (38, 46). Twenty-four genes for 1,2-PD utilization (pdu) are found in a contiguous cluster (pocR, pduF, and pduABB′CDEGHJKLMNOPQSTUVWX) (7, 27). This locus encodes enzymes for the degradation of 1,2-PD and cobalamin recycling, as well as proteins for the formation of a bacterial microcompartment (MCP) (7). Bacterial MCPs are simple proteinaceous organelles used by diverse bacteria to optimize metabolic pathways that have toxic or volatile intermediates (6, 13, 14, 71). They are polyhedral in shape, 100 to 150 nm in cross section (about the size of a large virus), and consist of a protein shell that encapsulates sequentially acting metabolic enzymes. Sequence analyses indicate that MCPs are produced by 20 to 25% of all bacteria and function in seven or more different metabolic processes (14). The function of the Pdu MCP is to confine the propionaldehyde formed in the first step of 1,2-PD degradation in order to mitigate its toxicity and prevent DNA damage (7, 23, 24, 51). Prior studies indicate that 1,2-PD traverses the protein shell and enters the lumen of the Pdu MCP, where it is converted to propionaldehyde and then to propionyl-coenzyme A (CoA) by AdoCbl-dependent diol dehydratase (DDH; PduCDE) and propionaldehyde dehydrogenase (PduP) (8, 33). Propionyl-CoA then exits the MCP into the cytoplasm, where it is converted to 1-propanol or propionate or enters central metabolism via the methylcitrate pathway (25, 47). The shell of the Pdu MCP is thought to limit the diffusion of propionaldehyde in order to protect cytoplasmic components from toxicity. The Pdu MCP was purified, and 14 major polypeptide components were identified (PduABB′CDEGHJKOPTU), all of which are encoded by the pdu locus (23). PduABB′JKTU are confirmed or putative shell proteins (23, 24, 51). PduCDE and PduP catalyze the first 2 steps of 1,2-PD degradation as described above (7, 8, 23, 33). The PduO and PduGH enzymes are used for cobalamin recycling. PduO is an adenosyltransferase (29), and PduGH is a homolog of the Klebsiella DDH reactivase, which mediates the removal of OH-Cbl from an inactive OH-Cbl-DDH complex (43, 44). However, a reductase which is also required for cobalamin recycling was not previously identified as a component of the Pdu MCP (23). This raises the question of how cobalamin is recycled for the AdoCbl-dependent DDH that resides within the Pdu MCP.Prior studies indicated that the PduS enzyme (which is encoded by the pdu locus) is a cobalamin reductase (52). Very recently PduS was purified from S. enterica and shown to be a flavoprotein that can mediate the reduction of 4-coordinate cob(II)alamin bound to ATR but was not further characterized (40). In this study, PduS from S. enterica is purified and more extensively characterized, including identification of its cofactor requirements and kinetic properties. In addition, we show that PduS is a component of the Pdu MCP. This finding in conjunction with prior work indicates that, in addition to 1,2-PD degradative enzymes, the Pdu MCP encapsulates a complete cobalamin recycling system.     

FlhF and Its GTPase Activity Are Required for Distinct Processes in Flagellar Gene Regulation and Biosynthesis in Campylobacter jejuni

FlhF proteins are putative GTPases that are often necessary for one or more steps in flagellar organelle development in polarly flagellated bacteria. In Campylobacter jejuni, FlhF is required for σ⁵⁴-dependent flagellar gene expression and flagellar biosynthesis, but how FlhF influences these processes is unknown. Furthermore, the GTPase activity of any FlhF protein and the requirement of this speculated activity for steps in flagellar biosynthesis remain uncharacterized. We show here that C. jejuni FlhF hydrolyzes GTP, indicating that these proteins are GTPases. C. jejuni mutants producing FlhF proteins with reduced GTPase activity were not severely defective for σ⁵⁴-dependent flagellar gene expression, unlike a mutant lacking FlhF. Instead, these mutants had a propensity to lack flagella or produce flagella in improper numbers or at nonpolar locations, indicating that GTP hydrolysis by FlhF is required for proper flagellar biosynthesis. Additional studies focused on elucidating a possible role for FlhF in σ⁵⁴-dependent flagellar gene expression were conducted. These studies revealed that FlhF does not influence production of or signaling between the flagellar export apparatus and the FlgSR two-component regulatory system to activate σ⁵⁴. Instead, our data suggest that FlhF functions in an independent pathway that converges with or works downstream of the flagellar export apparatus-FlgSR pathway to influence σ⁵⁴-dependent gene expression. This study provides corroborative biochemical and genetic analyses suggesting that different activities of the C. jejuni FlhF GTPase are required for distinct steps in flagellar gene expression and biosynthesis. Our findings are likely applicable to many polarly flagellated bacteria that utilize FlhF in flagellar biosynthesis processes.Flagellar biosynthesis in bacteria is a complex process that requires expression of more than 50 genes in a sequential manner to ensure that the encoded proteins are secreted and interact in a proper order to construct a flagellar organelle (8). Formation of a flagellum to impart swimming motility is often an essential determinant for many bacteria to infect hosts or reside in an environmental niche. As such, flagella and flagellar motility are required for Campylobacter jejuni to initiate and maintain a harmless intestinal colonization in many wild and agriculturally important animals (16, 17, 19, 35, 47, 49), which leads to large reservoirs of the bacterium in the environment and the human food supply (13). In addition, flagellar motility is essential for the bacterium to infect human hosts to cause a diarrheal disease, which can range from a mild, watery enteritis to a severe, bloody diarrheal syndrome (4). Due to its prevalence in nature and in the food supply, C. jejuni is a leading cause of enteritis in humans throughout the world (7).C. jejuni belongs to a subset of motile bacteria that produce polarly localized flagella, which includes important pathogens of humans, such as Helicobacter, Vibrio, and Pseudomonas species. These bacteria have some commonalities in mechanisms for flagellar gene expression and biosynthesis, such as using both alternative σ factors, σ²⁸ and σ⁵⁴, for expression of distinct sets of flagellar genes (1, 6, 9, 11, 18, 20-22, 26, 36, 40, 44, 45, 49). In addition, these bacteria produce the putative FlhF GTPase, which is required in each bacterium for at least one of the following: expression of a subset of flagellar genes, biosynthesis of flagella, or the polar placement of the flagella. For instance, FlhF is required for expression of some σ⁵⁴- and σ²⁸-dependent flagellar genes and for production of flagella in the classical biotype of Vibrio cholerae (10). However, V. cholerae flhF mutants of another biotype can produce a flagellum in a minority of cells, but the flagellum is at a lateral site (14). Similar lateral flagella were found in flhF mutants of Pseudomonas aeruginosa and Pseudomonas putida (34, 37). FlhF of Vibrio alginolyticus may also be involved in the polar formation of flagella and may possibly influence the number of flagella produced (28, 29). Demonstration that FlhF is polarly localized in some of these species and the fact that FlhF has been observed to assist the early flagellar MS ring protein, FliF, in localizing to the old pole in one biotype of V. cholerae give credence that FlhF may be involved in the polar placement of flagella in the respective organisms (14, 29, 34).Bioinformatic analysis indicates that the FlhF proteins belong to the SIMIBI class of NTP-binding proteins (30). More specifically, the GTPase domains of FlhF proteins are most similar to those of the signal recognition particle (SRP) pathway GTPases, such as Ffh and FtsY. Because of the homology of the GTPase domains, these three proteins may form a unique subset within the SIMIBI proteins. Whereas the GTPase activities of the interacting Ffh and FtsY proteins have been extensively characterized (32, 38, 39, 42), little is known about the GTP hydrolysis activity of FlhF. Structural determination of FlhF of Bacillus subtilis indicates that the potential GTPase activity of FlhF is likely varied relative to those of Ffh and FtsY (2). However, no biochemical analysis has been performed to verify or characterize the ability of an FlhF protein to hydrolyze GTP. As such, no studies have correlated the biochemical activity of FlhF in relation to GTP hydrolysis with the role that FlhF performs in flagellar gene expression or biosynthesis.Through previous work, we have delineated the regulatory cascades governing flagellar gene expression in C. jejuni. We have found that formation of the flagellar export apparatus (FEA), a multiprotein inner membrane complex (consisting of the proteins FlhA, FlhB, FliF, FliO, FliP, FliQ, and FliR) that secretes most of the flagellar proteins out of the cytoplasm to form the flagellum, is required to activate the FlgS sensor kinase to begin a phosphorelay to the cognate FlgR response regulator (23, 24). Once activated by phosphorylation, FlgR likely interacts with σ⁵⁴ in RNA polymerase to initiate expression of many flagellar genes encoding components of the flagellar basal body, rod, and hook (20, 24). After formation of the hook, flaA, encoding the major flagellin, is expressed via σ²⁸ and RNA polymerase to generate the flagellar filament and complete flagellar biosynthesis (6, 18, 20, 21, 49). In two separate genetic analyses, we found that flhF mutants of C. jejuni are nonmotile and show a more than 10-fold reduction in expression of σ⁵⁴-dependent flagellar genes, indicating that FlhF is required for both flagellar gene expression and biosynthesis (20). However, it is unclear how FlhF influences expression of σ⁵⁴-dependent flagellar genes. Furthermore, it is unknown if the GTPase activity of FlhF is required for flagellar gene expression or biosynthesis in C. jejuni.We have performed experiments to determine that C. jejuni FlhF specifically hydrolyzes GTP, confirming that FlhF is a GTPase. Whereas the FlhF protein is required for motility, flagellar biosynthesis, and expression of σ⁵⁴-dependent flagellar genes, the GTPase activity of the protein significantly influences only proper biosynthesis of flagella. These results suggest that multiple biochemical activities of FlhF (including GTPase activity and likely other, as yet uncharacterized activities mediated by other domains) are required at distinct steps in flagellar gene expression and biosynthesis. In addition, we provide biochemical and genetic evidence that FlhF likely functions in a pathway separate from the FEA-FlgSR pathway in C. jejuni to influence expression of σ⁵⁴-dependent flagellar genes. This study provides corroborative genetic and biochemical analysis of FlhF to indicate that FlhF has multiple inherent activities that function at different steps in development of the flagellar organelle, which may be applicable to many polarly flagellated bacteria.     

The Receptor Complex Associated with Human T-Cell Lymphotropic Virus Type 3 (HTLV-3) Env-Mediated Binding and Entry Is Distinct from,but Overlaps with,the Receptor Complexes of HTLV-1 and HTLV-2

Little is known about the transmission or tropism of the newly discovered human retrovirus, human T-cell lymphotropic virus type 3 (HTLV-3). Here, we examine the entry requirements of HTLV-3 using independently expressed Env proteins. We observed that HTLV-3 surface glycoprotein (SU) binds efficiently to both activated CD4⁺ and CD8⁺ T cells. This contrasts with both HTLV-1 SU, which primarily binds to activated CD4⁺ T cells, and HTLV-2 SU, which primarily binds to activated CD8⁺ T cells. Binding studies with heparan sulfate proteoglycans (HSPGs) and neuropilin-1 (NRP-1), two molecules important for HTLV-1 entry, revealed that these molecules also enhance HTLV-3 SU binding. However, unlike HTLV-1 SU, HTLV-3 SU can bind efficiently in the absence of both HSPGs and NRP-1. Studies of entry performed with HTLV-3 Env-pseudotyped viruses together with SU binding studies revealed that, for HTLV-1, glucose transporter 1 (GLUT-1) functions at a postbinding step during HTLV-3 Env-mediated entry. Further studies revealed that HTLV-3 SU binds efficiently to naïve CD4⁺ T cells, which do not bind either HTLV-1 or HTLV-2 SU and do not express detectable levels of HSPGs, NRP-1, and GLUT-1. These results indicate that the complex of receptor molecules used by HTLV-3 to bind to primary T lymphocytes differs from that of both HTLV-1 and HTLV-2.The primate T-cell lymphotropic virus (PTLV) group of deltaretroviruses consists of three types of human T-cell lymphotropic viruses (HTLVs) (HTLV-1, HTLV-2, HTLV-3), their closely related simian T-cell lymphotropic viruses (STLVs) (STLV-1, STLV-2, STLV-3), an HTLV (HTLV-4) for which a simian counterpart has not been yet identified, and an STLV (STLV-5) originally described as a divergent STLV-1 (5-7, 30, 35, 37, 38, 45, 51, 53). HTLV-1 and HTLV-2, which have a 70% nucleotide homology, differ in both their pathobiology and tropism (reviewed in reference 13). While HTLV-1 causes a neurological disorder (tropical spastic paraparesis/HTLV-1-associated myelopathy) and a hematological disease (adult T-cell leukemia/lymphoma) (15, 42, 55), HTLV-2 is only rarely associated with tropical spastic paraparesis/HTLV-1-associated myelopathy-like disease and is not definitively linked to any lymphoproliferative disease (12, 20). In vivo, both HTLV-1 and HTLV-2 infect T cells. Although HTLV-1 is primarily found in CD4⁺ T cells, other cell types in the peripheral blood of infected individuals have been found to contain HTLV-1, including CD8⁺ T cells, dendritic cells, and B cells (19, 29, 33, 36, 46).Binding and entry of retroviruses requires specific interactions between the Env glycoproteins on the virus and cell surface receptor complexes on target cells. For HTLV-1, three molecules have been identified as important for entry, as follows: heparan sulfate proteoglycans (HSPGs), neuropilin-1 (NRP-1), and glucose transporter 1 (GLUT-1) (16, 22, 26, 28, 29, 34, 39, 44). Recent studies support a model in which HSPG and NRP-1 function during the initial binding of HTLV-1 to target cells, and GLUT-1 functions at a postattachment stage, most likely to facilitate fusion (29, 34, 49). Efficient HTLV-2 binding and entry requires NRP-1 and GLUT-1 but not HSPGs (16, 26, 39, 49).This difference in the molecules required for binding to target cells reflects differences in the T-cell tropisms of these two viruses. Activated CD4⁺ T cells express much higher levels of HSPGs than CD8⁺ T cells (26). In infected individuals, HTLV-1 is primarily found in CD4⁺ T cells, while HTLV-2 is primarily found in CD8⁺ T cells (21, 43, 46). In vitro, HTLV-1 preferentially transforms CD4⁺ T cells while HTLV-2 preferentially transforms CD8⁺ T cells, and this difference has been mapped to the Env proteins (54).We and others have reported the discovery of HTLV-3 in two Cameroonese inhabitants (6, 7, 53). We recently uncovered the presence of a third HTLV-3 strain in a different population living several hundred kilometers away from the previously identified groups (5), suggesting that this virus may be common in central Africa. Since the HTLV-3 sequences were obtained by PCR amplification of DNA isolated from peripheral blood mononuclear cells (PBMCs) of infected individuals, little is known about its tropism and pathobiology in vivo. Based on the correlation between HSPG expression levels and viral tropisms of HTLV-1 and HTLV-2, we reasoned that knowledge about the HTLV-3 receptors might provide insight into the tropism of this virus. We therefore generated vectors expressing HTLV-3 Env proteins and used them to begin to characterize the receptor complex used by HTLV-3 to bind and enter cells.