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.     

A Novel Dehalobacter Species Is Involved in Extensive 4,5,6,7-Tetrachlorophthalide Dechlorination

The purpose of this study was the enrichment and phylogenetic identification of bacteria that dechlorinate 4,5,6,7-tetrachlorophthalide (commercially designated “fthalide”), an effective fungicide for rice blast disease. Sequential transfer culture of a paddy soil with lactate and fthalide produced a soil-free enrichment culture (designated the “KFL culture”) that dechlorinated fthalide by using hydrogen, which is produced from lactate. Phylogenetic analysis based on 16S rRNA genes revealed the dominance of two novel phylotypes of the genus Dehalobacter (FTH1 and FTH2) in the KFL culture. FTH1 and FTH2 disappeared during culture transfer in medium without fthalide and increased in abundance with the dechlorination of fthalide, indicating their growth dependence on the dechlorination of fthalide. Dehalobacter restrictus TEA is their closest relative, with 97.5% and 97.3% 16S rRNA gene similarities to FTH1 and FTH2, respectively.4,5,6,7-Tetrachlorophthalide (commercially designated “fthalide”) is an effective fungicide for rice blast disease, which inhibits melanin biosynthesis and the formation of the mature appressorial cells of the rice blast pathogen on the host plant (5, 16). Fthalide has been reported to be reductively dechlorinated in soil (16) and compost (28), although its fates in paddy soil and the fthalide-dechlorinating bacteria are unknown. Besides fthalide, polychlorinated aromatic compounds are known to be reductively dechlorinated by the bacteria of several phyla. Six strains of Desulfitobacterium spp. of the phylum Firmicutes (2, 3, 6, 10, 23, 29) and Desulfomonile tiedjei DCB-1 of the phylum Proteobacteria (21) can dechlorinate polychlorinated phenols. Three strains of the phylum Chloroflexi can dechlorinate a variety of compounds, including polychlorinated phenols, benzenes, biphenyls, or dibenzo-p-dioxins: Dehalococcoides ethenogenes 195 (9, 19), Dehalococcoides sp. strain CBDB1 (1, 4), and strain DF-1 of Chloroflexi, collectively called the “o-17/DF-1 group” (18). Dehalococcoides spp. utilize hydrogen as an electron donor and acetate as a carbon source for growth coupled to the reductive dechlorination of chlorinated compounds (1, 12, 13, 19, 26). In contrast, Desulfitobacterium spp. can dechlorinate chlorinated compounds not only with hydrogen, but also organic acids, such as formate, pyruvate, lactate, or butyrate (3, 10, 23). Strain DF-1 can utilize hydrogen and formate for the dechlorination of polychlorinated biphenyls (PCBs) (18).In this study, bacteria that dechlorinate fthalide were enriched from a paddy soil with sequentially transferred cultures using a soil-free medium supplemented with single organic acids. Acetate, formate, lactate, and butyrate were used in this study because they are frequently used in the enrichment of dechlorinators and release hydrogen at different concentrations (8, 11, 14). Fthalide-dechlorinating bacteria in the enriched culture were phylogenetically identified based on the 16S rRNA gene with PCR-denaturing gradient gel electrophoresis (DGGE), a 16S rRNA gene clone library, and quantitative real-time PCR (qPCR).     

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.     

Cultivation of Autotrophic Ammonia-Oxidizing Archaea from Marine Sediments in Coculture with Sulfur-Oxidizing Bacteria

The role of ammonia-oxidizing archaea (AOA) in nitrogen cycling in marine sediments remains poorly characterized. In this study, we enriched and characterized AOA from marine sediments. Group I.1a crenarchaea closely related to those identified in marine sediments and “Candidatus Nitrosopumilus maritimus” (99.1 and 94.9% 16S rRNA and amoA gene sequence identities to the latter, respectively) were substantially enriched by coculture with sulfur-oxidizing bacteria (SOB). The selective enrichment of AOA over ammonia-oxidizing bacteria (AOB) is likely due to the reduced oxygen levels caused by the rapid initial growth of SOB. After biweekly transfers for ca. 20 months, archaeal cells became the dominant prokaryotes (>80%), based on quantitative PCR and fluorescence in situ hybridization analysis. The increase of archaeal 16S rRNA gene copy numbers was coincident with the amount of ammonia oxidized, and expression of the archaeal amoA gene was observed during ammonia oxidation. Bacterial amoA genes were not detected in the enrichment culture. The affinities of these AOA to oxygen and ammonia were substantially higher than those of AOB. [¹³C]bicarbonate incorporation and the presence and activation of genes of the 3-hydroxypropionate/4-hydroxybutyrate cycle indicated autotrophy during ammonia oxidation. In the enrichment culture, ammonium was oxidized to nitrite by the AOA and subsequently to nitrate by Nitrospina-like bacteria. Our experiments suggest that AOA may be important nitrifiers in low-oxygen environments, such as oxygen-minimum zones and marine sediments.Archaea have long been known as extremophiles, since most cultivated archaeal strains were cultivated from extreme environments, such as acidic, hot, and high-salt environments. The view of archaea as extremophiles (i.e., acidophiles, thermophiles, and halophiles) has radically changed by the application of molecular technologies, including PCR in environmental microbiology. Using Archaea-specific PCR primers, novel archaeal 16S rRNA gene sequences were discovered in seawater (23, 27). Following these discoveries, an ever-increasing and unexpectedly high variety of archaeal 16S rRNA gene sequences has been reported from diverse “nonextreme” environments (67). This indicates that archaea are, like bacteria, ubiquitous in the biosphere rather than exclusively inhabiting specific extreme niches. Archaea are abundant in water columns of some oceanic provinces (33, 36) and deep-subsea floor sediments (11, 12, 48). Despite the increasing number of reports of the diversity and abundance of these nonextreme archaea by molecular ecological studies, their physiology and ecological roles have remained enigmatic.Oxidation of ammonia, a trait long thought to be exclusive to the domain Bacteria (13), was recently suggested to be a trait of archaea of the crenarchaeal groups I.1a and I.1b, based on a metagenome analysis (79) and supported by the discovery of archaeal amoA-like genes in environmental shotgun sequencing studies of Sargasso Sea water (80) and genomic analysis of “Candidatus Cenarchaeum symbiosum,” a symbiont of a marine sponge (30). Molecular ecological studies indicated that these ammonia-oxidizing archaea (AOA) are often predominant over ammonia-oxidizing bacteria (AOB) in ocean waters (9, 53, 87), soils (17, 47), and marine sediments (61). Critical evidence for autotrophic archaeal ammonia oxidation was obtained by the characterization of the first cultivated mesophilic crenarchaeon (group I.1a), “Candidatus Nitrosopumilus maritimus SCM1,” from an aquarium (38), and a related archaeon from North Sea water (87) and subsequently by enrichment of thermophilic AOA (22, 31). Whole-genome-based phylogenetic studies recently indicated that the nonthermophilic crenarchaea, including the AOA, likely form a phylum separate from the Crenarchaeota and Euryarchaeota phyla (15, 16, 72). This proposed new phylum was called Thaumarchaeota (15).Microorganisms in marine sediments contribute significantly to global biogeochemical cycles because of their abundance (85). Nitrification is essential to the nitrogen cycle in marine sediments and may be metabolically coupled with denitrification and anaerobic ammonium oxidation, resulting in the removal of nitrogen as molecular nitrogen and the generation of greenhouse gases, such as nitrous oxide (19, 75). Compared with studies on archaeal nitrification in the marine water column, only limited information on archaeal nitrification in marine sediments is available so far. Archaeal amoA genes have been retrieved from marine and coastal sediments (8, 26, 61), and the potentially important role of AOA in nitrification has been suggested based on the abundance of archaeal amoA genes relative to that of bacterial amoA genes in surface marine sediments from Donghae (South Korea) (61). Cultivation of AOA, although difficult (38), remains essential to estimating the metabolic potential of archaea in environments such as soils (47) and marine sediments (61). Here, we report the successful enrichment of AOA of crenarchaeal group I.1a from marine sediments by employing a coculture with sulfur-oxidizing bacteria (SOB) which was maintained for ca. 20 months with biweekly transfers. In this way, we were able to characterize AOA from marine sediments, providing a clue for the role of AOA in the nitrogen cycle of marine sediments.     

Worldwide Prevalence of Class 2 Integrases outside the Clinical Setting Is Associated with Human Impact

An intI-targeted PCR assay was optimized to evaluate the frequency of partial class 2-like integrases relative to putative, environmental IntI elements in clone libraries generated from 17 samples that included various terrestrial, marine, and deep-sea habitats with different exposures to human influence. We identified 169 unique IntI phylotypes (≤98% amino acid identity) relative to themselves and with respect to those previously described. Among these, six variants showed an undescribed, extended, IntI-specific additional domain. A connection between human influence and the dominance of IntI-2-like variants was also observed. IntI phylotypes 80 to 99% identical to class 2 integrases comprised ∼70 to 100% (n = 65 to 87) of the IntI elements detected in samples with a high input of fecal waste, whereas IntI2-like sequences were undetected in undisturbed settings and poorly represented (1 to 10%; n = 40 to 79) in environments with moderate or no recent fecal or anthropogenic impact. Eleven partial IntI2-like sequences lacking the signature ochre 179 codon were found among samples of biosolids and agricultural soil supplemented with swine manure, indicating a wider distribution of potentially functional IntI2 variants than previously reported. To evaluate IntI2 distribution patterns beyond the usual hosts, namely, the Enterobacteriaceae, we coupled PCR assays targeted at intI and 16S rRNA loci to G+C fractionation of total DNA extracted from manured cropland. IntI2-like sequences and 16S rRNA phylotypes related to Firmicutes (Clostridium and Bacillus) and Bacteroidetes (Chitinophaga and Sphingobacterium) dominated a low-G+C fraction (∼40 to 45%), suggesting that these groups could be important IntI2 hosts in manured soil. Moreover, G+G fractionation uncovered an additional set of 36 novel IntI phylotypes (≤98% amino acid identity) undetected in bulk DNA and revealed the prevalence of potentially functional IntI2 variants in the low-G+C fraction.Integrons are genetic modules described in pathogenic and commensal bacteria that confer the ability to capture and express promoterless DNA units, called gene cassettes, which encode a variety of adaptive functions including antibiotic resistance (9, 42, 64). The acquisition of gene cassettes occurs through a site-specific recombination mechanism catalyzed by an integron-encoded integrase (IntI). The integrative recombination reaction occurs primarily between an integron receptor site (attI) and a cassette-associated sequence known as the attC site or 59-base element (11). However, integron integrases are able to recognize and process nonspecific secondary targets as well as attI and attC sites with a high degree of sequence variation (20, 25). This versatility facilitates the exchange of exogenous genes between different integrons through various recombination reactions (attI × attC, attI × attI, and attC × attC) that propel the adaptability and evolution of bacterial genomes (8, 11, 31, 38, 55, 58). Although integrons can be chromosomally encoded, they also may be horizontally transferred via transduction or by transposons associated with conjugative plasmids (42, 61). Three major groups (classes 1 to 3) are known to be associated with laterally transferred elements and highly prevalent in the clinical scene. In most of the cases, these have also been reported to harbor almost exclusively gene cassettes encoding antibiotic resistance functions (42). All together, these traits have led to their designation as “mobile” (9) or “clinical” (22) integrons. Although integrons have been traditionally classified according to the percent identity of the nucleotide or predicted amino acid sequence of their respective intI genes (9, 43, 71), several structural features and differences in abundance patterns have been identified which distinguish classes 1 to 3 (9, 42).Class 1 integrons are the most widely studied variant and are typically linked to replicative Tn21 transposons, which appears to contribute to their extensive distribution (48). A key feature commonly reported within the class 1 module is the presence of a highly conserved 3′ region comprised of a qacEΔ gene and a sul1 gene, which provide protection against quaternary ammonium compounds and sulfa drugs, respectively. In contrast, class 2 integrons are routinely associated with nonreplicative Tn7 transposons, are less frequently detected and, hence, remain an understudied group relative to their class 1 counterparts (42, 48, 65). Even less is known about the class 3 variants, which so far have been described in only three instances (71).Except for the identical IntI2 elements recently reported in Providencia stuartii and Escherichia coli strains isolated from beef cattle sources and the human urinary tract, respectively, all known integrases encoded by class 2 integrons are considered nonfunctional due to the presence of the ochre 179 codon (6, 40, 42). Nevertheless, it has been argued that integrons with truncated class 2 integrases might be implicated in the transfer and high prevalence of antibiotic resistance genes among clinical isolates, possibly via the in trans activities of other functional integrases or the suppression of the stop codon (27). So far, class 2 integrons have been described in association with isolates affiliated to the gamma, beta, and epsilon subdivisions of the Proteobacteria but have been more frequently reported among members of the Gammaproteobacteria group, particularly the Enterobacteriaceae (1, 14, 19, 56, 57). However, most of these studies have focused on easily culturable, aerobic bacteria or those of clinical importance, leading to the exclusion of unculturable or difficult-to-grow commensals that could be inconspicuous but important reservoirs of class 2 elements in the environment. Although the occurrence and quantification of integrons and integron-associated genes by means of molecular, culture-independent methods are being increasingly documented outside the clinical scene (18, 22, 28, 48, 49, 51, 65, 70), the estimates of the extant diversity of the integron platform in nature are still rudimentary. Likewise, further work is needed for the identification of environmental hosts of integrons commonly found in clinical strains without the bias associated with culture techniques (48).In order to provide a comprehensive view of integron integrase variation and prevalence patterns of IntI2 elements in the environment, we PCR amplified partial intI sequences from metagenomic DNA isolated from various terrestrial, marine, and deep-sea habitats exposed to various degrees of anthropogenic or fecal impact. Amplification conditions were optimized to facilitate the assessment of the frequency of IntI2-like sequences relative to that of environmental integron integrases. Additionally, since the guanine-plus-cytosine content of DNA corresponds to taxonomy (68), we coupled G+C fractionation of total DNA (4, 5, 29, 30) with PCR assays targeted at intI and 16S rRNA genes to identify potential, unconventional hosts of class 2 integrons in soil that had received swine manure.     

Environmental Factors Shape Sediment Anammox Bacterial Communities in Hypernutrified Jiaozhou Bay,China

Bacterial anaerobic ammonium oxidation (anammox) is an important process in the marine nitrogen cycle. Because ongoing eutrophication of coastal bays contributes significantly to the formation of low-oxygen zones, monitoring of the anammox bacterial community offers a unique opportunity for assessment of anthropogenic perturbations in these environments. The current study used targeting of 16S rRNA and hzo genes to characterize the composition and structure of the anammox bacterial community in the sediments of the eutrophic Jiaozhou Bay, thereby unraveling their diversity, abundance, and distribution. Abundance and distribution of hzo genes revealed a greater taxonomic diversity in Jiaozhou Bay, including several novel clades of anammox bacteria. In contrast, the targeting of 16S rRNA genes verified the presence of only “Candidatus Scalindua,” albeit with a high microdiversity. The genus “Ca. Scalindua” comprised the apparent majority of active sediment anammox bacteria. Multivariate statistical analyses indicated a heterogeneous distribution of the anammox bacterial assemblages in Jiaozhou Bay. Of all environmental parameters investigated, sediment organic C/organic N (OrgC/OrgN), nitrite concentration, and sediment median grain size were found to impact the composition, structure, and distribution of the sediment anammox bacterial community. Analysis of Pearson correlations between environmental factors and abundance of 16S rRNA and hzo genes as determined by fluorescent real-time PCR suggests that the local nitrite concentration is the key regulator of the abundance of anammox bacteria in Jiaozhou Bay sediments.Anaerobic ammonium oxidation (anammox, NH₄⁺ + NO₂⁻ → N₂ + 2H₂O) was proposed as a missing N transformation pathway decades ago. It was found 20 years later to be mediated by bacteria in artificial environments, such as anaerobic wastewater processing systems (see reference 32 and references therein). Anammox in natural environments was found even more recently, mainly in O₂-limited environments such as marine sediments (28, 51, 54, 67, 69) and hypoxic or anoxic waters (10, 25, 39-42). Because anammox may remove as much as 30 to 70% of fixed N from the oceans (3, 9, 64), this process is potentially as important as denitrification for N loss and bioremediation (41, 42, 73). These findings have significantly changed our understanding of the budget of the marine and global N cycles as well as involved pathways and their evolution (24, 32, 35, 72). Studies indicate variable anammox contributions to local or regional N loss (41, 42, 73), probably due to distinct environmental conditions that may influence the composition, abundance, and distribution of the anammox bacteria. However, the interactions of anammox bacteria with their environment are still poorly understood.The chemolithoautotrophic anammox bacteria (64, 66) comprise the new Brocadiaceae family in the Planctomycetales, for which five Candidatus genera have been described (see references 32 and 37 and references therein): “Candidatus Kuenenia,” “Candidatus Brocadia,” “Candidatus Scalindua,” “Candidatus Anammoxoglobus,” and “Candidatus Jettenia.” Due to the difficulty of cultivation and isolation, anammox bacteria are not yet in pure culture. Molecular detection by using DNA probes or PCR primers targeting the anammox bacterial 16S rRNA genes has thus been the main approach for the detection of anammox bacteria and community analyses (58). However, these studies revealed unexpected target sequence diversity and led to the realization that due to biased coverage and specificity of most of the PCR primers (2, 8), the in situ diversity of anammox bacteria was likely missed. Thus, the use of additional marker genes for phylogenetic analysis was suggested in hopes of better capturing the diversity of this environmentally important group of bacteria. By analogy to molecular ecological studies of aerobic ammonia oxidizers, most recent studies have attempted to include anammox bacterium-specific functional genes. All anammox bacteria employ hydrazine oxidoreductase (HZO) (= [Hzo]₃) to oxidize hydrazine to N₂ as the main source for a useable reductant, which enables them to generate proton-motive force for energy production (32, 36, 65). Phylogenetic analyses of Hzo protein sequences revealed three sequence clusters, of which the cladistic structure of cluster 1 is in agreement with the anammox bacterial 16S rRNA gene phylogeny (57). The hzo genes have emerged as an alternative phylogenetic and functional marker for characterization of anammox bacterial communities (43, 44, 57), allowing the 16S rRNA gene-based investigation methods to be corroborated and improved.The contribution of anammox to the removal of fixed N is highly variable in estuarine and coastal sediments (50). For instance, anammox may be an important pathway for the removal of excess N (23) or nearly negligible (48, 54, 67, 68). This difference may be attributable to a difference in the structure and composition of anammox bacterial communities, in particular how the abundance of individual cohorts depends on particular environmental conditions. Anthropogenic disturbance with variable source and intensity of eutrophication and pollution may further complicate the anammox bacterium-environment relationship.Jiaozhou Bay is a large semienclosed water body of the temperate Yellow Sea in China. Eutrophication has become its most serious environmental problem, along with red tides (harmful algal blooms), species loss, and contamination with toxic chemicals and harmful microbes (14, 15, 21, 61, 71). Due to different sources of pollution and various levels of eutrophication across Jiaozhou Bay (mariculture, municipal and industrial wastewater, crude oil shipyard, etc.), a wide spectrum of environmental conditions may contribute to a widely varying community structure of anammox bacteria. This study used both 16S rRNA and hzo genes as targets to measure their abundance, diversity, and spatial distribution and assess the response of the resident anammox bacterial community to different environmental conditions. Environmental factors with potential for regulating the sediment anammox microbiota are discussed.     

High-Throughput Quantitative Analysis of the Human Intestinal Microbiota with a Phylogenetic Microarray

Gut microbiota carry out key functions in health and participate in the pathogenesis of a growing number of diseases. The aim of this study was to develop a custom microarray that is able to identify hundreds of intestinal bacterial species. We used the Entrez nucleotide database to compile a data set of bacterial 16S rRNA gene sequences isolated from human intestinal and fecal samples. Identified sequences were clustered into separate phylospecies groups. Representative sequences from each phylospecies were used to develop a microbiota microarray based on the Affymetrix GeneChip platform. The designed microbiota array contains probes to 775 different bacterial phylospecies. In our validation experiments, the array correctly identified genomic DNA from all 15 bacterial species used. Microbiota array has a detection sensitivity of at least 1 pg of genomic DNA and can detect bacteria present at a 0.00025% level of overall sample. Using the developed microarray, fecal samples from two healthy children and two healthy adults were analyzed for bacterial presence. Between 227 and 232 species were detected in fecal samples from children, whereas 191 to 208 species were found in adult stools. The majority of identified phylospecies belonged to the classes Clostridia and Bacteroidetes. The microarray revealed putative differences between the gut microbiota of healthy children and adults: fecal samples from adults had more Clostridia and less Bacteroidetes and Proteobacteria than those from children. A number of other putative differences were found at the genus level.In the healthy adult, there are 10¹¹ to 10¹⁴ bacteria colonizing the intestine. This outnumbers the total tissue cells in the body by at least an order of magnitude. The composition and activity of this complex microbial system (called microbiota or microflora) have a major influence on health and disease (9). Commensal microbiota contribute to the trophic functions of the gut (producing fermentation products and vitamins that can be used by intestinal epithelial cells), stimulate the immune function of the gastrointestinal tract, transform or excrete toxic substances, protect the host against invasion by pathogenic species, and modulate gut motility (28, 36). At the same time, recent research incriminates a dysfunctional cross-talk between the host and the microbiota in the pathogenesis of a growing number of disorders, such as irritable bowel syndrome, inflammatory bowel disease, allergic diseases, and gastrointestinal cancer (28).While the intestine in a newborn contains no microbes, immediately after birth the intestine of the infant is colonized by enterobacteria and enterococci. Gradual changes in microbiota composition occur during childhood, with a general reduction in the number of aerobes and facultative anaerobes and an increase in the populations of obligate anaerobic species (27). It is considered that by 2 years of age the microbiota resembles that of an adult, which is dominated in health and disease by species from only four phyla, Firmicutes (predominantly Clostridia; 50 to 70% total bacterial numbers), Bacteroidetes (10 to 30%), Proteobacteria (up to 10%), and Actinobacteria (up to 5%), with 90% believed to be obligate anaerobes (4, 10, 11, 22).Traditionally, microorganisms were detected in intestinal samples and feces by microscopic, biochemical, or physiological methods, or by culturing on selective nutrient media. However, since most intestinal microbiota species are obligate anaerobes, their isolation and culturing are difficult (21, 38, 42). In recent years, new methods based on the use of microarray technology have been utilized for the characterization of complex microbial communities (18, 32, 41, 43, 47). Microarrays represent an excellent choice for the high-throughput analysis of bacterial populations, because many different probes can be placed on one slide or synthesized on one chip, and samples thus can be tested for the presence of many different species simultaneously. Environmental and clinical samples can be interrogated directly, circumventing any need for culturing, and thus nonculturable species can be reliably detected.Several types of microarrays have been used to date to characterize the composition of microbial communities (47). Community genome arrays are constructed using whole genomic DNA (gDNA) isolated from pure culture strains (46). Functional gene arrays contain genes encoding key enzymes that are involved in various biochemical processes, and they are useful for monitoring physiological changes in microbial communities (14, 45). Phylogenetic oligonucleotide arrays contain probes derived from rRNA sequence information and are ideally suited for the analysis of microbial community composition structure and variance. Different types of phylogenetic arrays have been designed for these purposes (26, 30, 31).A number of projects performed in the last several years focused on sampling the diversity of human microbiota by the cloning and subsequent sequencing of the 16S rRNA genes isolated from gastrointestinal and fecal samples (5, 10, 13, 23, 38). In this project, we have designed, developed, and validated a custom microbiota microarray containing 16S rRNA genes probes to 775 different microbial phylospecies of human intestinal bacteria. We also have tested the applicability of this array to profiling the microbiota populations in fecal samples isolated from two adult and two child volunteers.     

Detection and Quantification of Dehalogenimonas and “Dehalococcoides” Populations via PCR-Based Protocols Targeting 16S rRNA Genes

Members of the haloalkane dechlorinating genus Dehalogenimonas are distantly related to “Dehalococcoides” but share high homology in some variable regions of their 16S rRNA gene sequences. In this study, primers and PCR protocols intended to uniquely target Dehalococcoides were reevaluated, and primers and PCR protocols intended to uniquely target Dehalogenimonas were developed and tested. Use of the genus-specific primers revealed the presence of both bacterial groups in groundwater at a Louisiana Superfund site.“Dehalococcoides” strains are the only bacteria presently known to reductively dehalogenate the carcinogen vinyl chloride (10-12, 17, 22), and DNA-based approaches have been widely applied to detect and quantify these bacteria in mixed cultures and environmental samples (1, 3, 4, 6, 7, 13, 15, 16, 20). As recently reported, Dehalococcoides strains are the closest previously cultured phylogenetic relatives of Dehalogenimonas lykanthroporepellens strains BL-DC-8 and BL-DC-9^T (18, 23). The newly isolated Dehalogenimonas strains, which can reductively dehalogenate a variety of polychlorinated alkanes (e.g., 1,2,3-trichloropropane and 1,2-dichloroethane) but not chlorinated ethenes (e.g., tetrachloroethene and vinyl chloride), however, are only distantly related to Dehalococcoides, with 90% identity in 16S rRNA gene sequences. Research reported here was aimed at (i) reevaluating PCR primers and protocols previously reported as allowing specific detection of Dehalococcoides 16S rRNA gene sequences in light of the 16S rRNA gene sequences of the recently isolated Dehalogenimonas strains and (ii) designing and testing PCR primers and protocols that allow detection and quantification of Dehalogenimonas strains.     

Occurrence and Molecular Characteristics of Methicillin-Resistant Staphylococcus aureus and Methicillin-Resistant Staphylococcus pseudintermedius in an Academic Veterinary Hospital

Recently, methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant Staphylococcus pseudintermedius (MRSP) have been increasingly isolated from veterinarians and companion animals. With a view to preventing the spread of MRSA and MRSP, we evaluated the occurrence and molecular characteristics of each in a veterinary college. MRSA and MRSP were isolated from nasal samples from veterinarians, staff members, and veterinary students affiliated with a veterinary hospital. Using stepwise logistic regression, we identified two factors associated with MRSA carriage: (i) contact with an identified animal MRSA case (odds ratio [OR], 6.9; 95% confidence interval [95% CI], 2.2 to 21.6) and (ii) being an employee (OR, 6.2; 95% CI, 2.0 to 19.4). The majority of MRSA isolates obtained from individuals affiliated with the veterinary hospital and dog patients harbored spa type t002 and a type II staphylococcal cassette chromosome mec (SCCmec), similar to the hospital-acquired MRSA isolates in Japan. MRSA isolates harboring spa type t008 and a type IV SCCmec were obtained from one veterinarian on three different sampling occasions and also from dog patients. MRSA carriers can also be a source of MRSA infection in animals. The majority of MRSP isolates (85.2%) carried hybrid SCCmec type II-III, and almost all the remaining MRSP isolates (11.1%) carried SCCmec type V. MRSA and MRSP were also isolated from environmental samples collected from the veterinary hospital (5.1% and 6.4%, respectively). The application of certain disinfection procedures is important for the prevention of nosocomial infection, and MRSA and MRSP infection control strategies should be adopted in veterinary medical practice.Methicillin-resistant Staphylococcus aureus (MRSA) is an important cause of nosocomial infections in human hospitals. The prevalence of hospital-acquired MRSA (HA-MRSA) infection among inpatients in intensive care units (ICUs) continues to increase steadily in Japan. Recently, cases of community-acquired MRSA (CA-MRSA) have been documented in persons without an established risk factor for HA-MRSA infection (14, 32, 36, 49).There has also been an increase in the number of reports of the isolation of MRSA from veterinarians and companion animals (5, 21, 23-26, 28, 31, 34, 38, 44, 50, 51, 53). Values reported for the prevalence of MRSA among veterinary staff include 17.9% in the United Kingdom (21), 10% in Japan (38), 3.9% in Scotland (13), and 3.0% in Denmark (28). Loeffler et al. reported that the prevalence of MRSA among dog patients and healthy dogs owned by veterinary staff members was 8.9% (21). In Japan, an MRSA isolate was detected in only one inpatient dog (3.8%) and could not be detected in any of 31 outpatient dogs (38). In the United States, MRSA isolates were detected in both dog (0.1%) and cat (0.1%) patients (31). The prevalence of MRSA among healthy dogs has been reported to be 0.7% (5). Hanselman et al. suggested that MRSA colonization may be an occupational risk for large-animal veterinarians (12). Recently, Burstiner et al. reported that the frequency of MRSA colonization among companion-animal veterinary personnel was equal to the frequency among large-animal veterinary personnel (6).In addition, other methicillin-resistant coagulase-positive staphylococci (MRCPS), such as methicillin-resistant Staphylococcus pseudintermedius (MRSP) and methicillin-resistant Staphylococcus schleiferi (MRSS), isolated from dogs, cats, and a veterinarian have been reported (11, 31, 38, 40, 52). MRSP isolates have also been detected among inpatient dogs (46.2%) and outpatient dogs (19.4%) in a Japanese veterinary teaching hospital (38). In Canada, however, MRSP and MRSS isolates were detected in only 2.1% and 0.5% of dog patients, respectively (11).Methicillin-resistant staphylococci produce penicillin-binding protein 2′, which reduces their affinity for β-lactam antibiotics. This protein is encoded by the mecA gene (48), which is carried on the staphylococcal cassette chromosome mec (SCCmec). SCCmec is a mobile genetic element characterized by the combination of the mec and ccr complexes (16), and it is classified into subtypes according to differences in the junkyard regions (43). SCCmec typing can be used as a molecular tool (22, 27, 30, 33, 36, 55) for examining the molecular epidemiology of methicillin-resistant staphylococci.In this study, we investigated the occurrence and characteristics of MRCPS isolates in a veterinary hospital in order to establish the transmission route of MRCPS in a veterinary hospital and with a view to preventing the spread of MRCPS infection. In addition, we evaluated the factors associated with MRCPS. Further, as Heller et al. have reported the distribution of MRSA within veterinary hospital environments and suggested the necessity to review cleaning protocols of hospital environments (13), we also attempted to isolate MRCPS from environmental samples collected in a veterinary hospital for an evaluation of MRSA transmission cycle though environmental surfaces in the veterinary hospital.     

Complete Genome Sequence of Halalkalicoccus jeotgali B3T,an Extremely Halophilic Archaeon

Halalkalicoccus jeotgali B3^T, isolated from salt-fermented seafood from South Korea, is an extremely halophilic archaeon belonging to the family Halobacteriaceae. Here, we present the complete genome sequence of the type strain H. jeotgali B3^T (3,698,650 bp, with a G+C content of 62.5%), which consists of one chromosome and six plasmids. This is the first complete genome sequence of the Halalkalicoccus species.Extremely halophilic archaea (haloarchaea) are adapted to hypersaline environments and grow optimally in NaCl solutions of 2.6 M or higher (12). These haloarchaea are classified within the family Halobacteriaceae in the order Halobacteriales; currently, this family comprises 28 genera (3), and only 11 complete genome sequences in Halobacteriaceae have been reported. In a study of archaeal diversity in salt-fermented small shrimp or shellfish from South Korea, our laboratory isolated and characterized 5 novel, extremely halophilic archaeal strains of Halobacteriaceae. These strains included Natronococcus jeotgali (9), Halalkalicoccus jeotgali (11), Halorubrum cibi (7), Haloterrigena jeotgali (10) and Haladaptatus cibarius (8). We have now sequenced the genome of Halalkalicoccus jeotgali B3^T; genome sequencing had not been completed or initiated for any strain in this genus when our sequencing project was begun. The genus Halalkalicoccus currently contains only two species, Halalkalicoccus tibetensis (13) and H. jeotgali, and these species exhibit 98.6% gene sequence similarity in their 16S rRNA. The genome of H. jeotgali B3^T is the first of this genus to be sequenced.The complete genome sequence of H. jeotgali B3^T was determined by a whole-genome shotgun strategy using Roche 454 GS (FLX Titanium) pyrosequencing (898,168 reads totaling ∼348 Mb; ∼94-fold coverage of the genome) and a fosmid library (514 reads totaling ∼680 kb) at the Genome Resource Center, KRIBB (Korea Research Institute of Bioscience and Biotechnology). Genome sequences from pyrosequencing were processed by Roche''s software according to the manufacturer''s instructions, and sequences from the fosmid library were processed by PESTAS (6). A total of 898,196 reads were assembled using Newbler Assembler 2.3 (454 Life Science), which generated 54 large contigs (>100 bp in size) with bases having quality scores of 40 and above. The gaps between contigs were closed by primer walking and sequencing of PCR products across the gaps. The annotation was done by merging results obtained from the RAST (Rapid Annotation using Subsystem Technology) pipeline (1), Glimmer 3.02 (2), tRNAscan-SE 1.21 (5), and RNAmmer 1.2 (4).The H. jeotgali B3^T genome is 3,698,650 bases long with a 62.5% G+C content. The chromosome consists of a single circular chromosome (2,809,118 bp, with a G+C content of 65.0%) and six plasmids (406,285 bp, 55.3%; 363,534 bp, 54.2%; 44,576 bp, 58.9%; 44,459 bp, 54.9%; 23,727 bp, 47.6%; 6,951 bp, 60.6%). The genome contains 3,860 predicted coding sequences and 52 RNA genes (determined using RAST). The chromosome is predicted to contain 3,101 coding sequences with a coding intensity of 90.0%, including 47 tRNA genes, 1 5S rRNA gene, 1 16S rRNA gene, and 1 23S rRNA gene. The largest plasmid contains 466 coding sequences with a coding intensity of 81.2% and 2 tRNA genes, while the other five plasmids contain 425, 44, 48, 29, and 5 coding sequences with coding intensities of 80.2%, 84.2%, 83.0%, 69.6%, and 22.8%, respectively (determined using Glimmer3). More detailed analysis of this genome and comparative analysis with other haloarchaea will provide further insight into the genomic differences and metabolism of the extremely halophilic archaea.     

Genome Sequence of Lactobacillus crispatus ST1

Lactobacillus crispatus is a common member of the beneficial microbiota present in the vertebrate gastrointestinal and human genitourinary tracts. Here, we report the genome sequence of L. crispatus ST1, a chicken isolate displaying strong adherence to vaginal epithelial cells.Lactobacillus crispatus can persist in the vertebrate gastrointestinal tract and is among the most prevalent species of the Lactobacillus-dominated human vaginal microbiota (2, 9, 13, 14). It belongs to the so-called acidophilus group (3), which has attracted interest because some of its species are important factors in the production of fermented foods (12) and some can, at least transiently, colonize the human host (2, 9, 13, 14). Moreover, some specific strains, mainly L. acidophilus NCFM and L. johnsonii NCC 533, have received prominence as intestinal-health-promoting microbes (4). Although the genomes of seven members of the acidophilus complex have been sequenced to date (12), the genome sequences of L. crispatus and other predominant lactobacillar species in the urogenital flora have mostly remained obscure. Vaginal lactobacilli can have an important role in controlling the health of the host (2, 14). They can, for example, positively influence and stabilize the host''s vaginal microbiota via the production of compounds that are acidic or exert a direct inhibiting action toward pathogenic bacteria (2, 14). In addition to the antimicrobial compounds, the competitive exclusion of pathogens is another mechanism by which the host''s microbiota can be balanced (2). L. crispatus ST1 was originally isolated from the crop of a chicken, and PCR profiling of L. crispatus isolates has verified it to be an abundant colonizer of the chicken crop (6, 8). It also displays a strong protein-dependent adhesion to the epithelial cells of the human vagina and has been shown to inhibit the adhesion of avian pathogenic Escherichia coli (6, 7).The genome was sequenced (18× coverage) using a 454 pyrosequencer with GS FLX chemistry (Roche). The contig order was confirmed and gaps were filled by sequencing PCR fragments from the genomic DNA template using ABI 3730 and Big Dye chemistry (Applied Biosystems). Genomic data were processed using the Staden Package (11) and gsAssembler (Roche). Coding sequences (CDSs) were predicted using Glimmer3 (5) followed by manual curation of the start sites. The remaining intergenic regions were reanalyzed for missed CDSs by using BlastX (1). Annotation transfer was performed based on a BlastP search, followed by Blannotator analysis using default settings (http://ekhidna.biocenter.helsinki.fi/poxo/blannotator) and manual verification. Orthologous groups between the different lactobacillar proteomes were identified using OrthoMCL (10).The genome of L. crispatus ST1 consists of a single circular chromosome 2.04 Mbp in size, with an overall G+C content of 37%, without any plasmids. There are 64 tRNA genes, 4 rRNA operons, and 2 CRISPR loci. Out of the 2,024 predicted CDSs, a putative function was assigned to 77%, whereas 10% of the CDSs were annotated as conserved and 13% as novel. Based on the orthologous grouping, 302 (15%) of the CDSs encoded by ST1 have no detectable homologs in any of the Lactobacillus proteomes published to date.     

Vertical Distribution of Ammonia-Oxidizing Crenarchaeota and Methanogens in the Epipelagic Waters of Lake Kivu (Rwanda-Democratic Republic of the Congo)

Four stratified basins in Lake Kivu (Rwanda-Democratic Republic of the Congo) were sampled in March 2007 to investigate the abundance, distribution, and potential biogeochemical role of planktonic archaea. We used fluorescence in situ hybridization with catalyzed-reported deposition microscopic counts (CARD-FISH), denaturing gradient gel electrophoresis (DGGE) fingerprinting, and quantitative PCR (qPCR) of signature genes for ammonia-oxidizing archaea (16S rRNA for marine Crenarchaeota group 1.1a [MCG1] and ammonia monooxygenase subunit A [amoA]). Abundance of archaea ranged from 1 to 4.5% of total DAPI (4′,6-diamidino-2-phenylindole) counts with maximal concentrations at the oxic-anoxic transition zone (∼50-m depth). Phylogenetic analysis of the archaeal planktonic community revealed a higher level of richness of crenarchaeal 16S rRNA gene sequences (21 of the 28 operational taxonomic units [OTUs] identified [75%]) over euryarchaeotal ones (7 OTUs). Sequences affiliated with the kingdom Euryarchaeota were mainly recovered from the anoxic water compartment and mostly grouped into methanogenic lineages (Methanosarcinales and Methanocellales). In turn, crenarchaeal phylotypes were recovered throughout the sampled epipelagic waters (0- to 100-m depth), with clear phylogenetic segregation along the transition from oxic to anoxic water masses. Thus, whereas in the anoxic hypolimnion crenarchaeotal OTUs were mainly assigned to the miscellaneous crenarchaeotic group, the OTUs from the oxic-anoxic transition and above belonged to Crenarchaeota groups 1.1a and 1.1b, two lineages containing most of the ammonia-oxidizing representatives known so far. The concomitant vertical distribution of both nitrite and nitrate maxima and the copy numbers of both MCG1 16S rRNA and amoA genes suggest the potential implication of Crenarchaeota in nitrification processes occurring in the epilimnetic waters of the lake.Lake Kivu is a meromictic lake located in the volcanic region between Rwanda and the Democratic Republic of the Congo and is the smallest of the African Great Rift Lakes. The monimolimnion of the lake contains a large amount of dissolved CO₂ and methane (300 km³ and 60 km³, respectively) as a result of geological and biological activity (24, 73, 85). This massive accumulation converts Lake Kivu into one of the largest methane reservoirs in the world and into a unique ecosystem for geomicrobiologists interested in the methane cycle and in risk assessment and management (34, 71, 72, 85). Comprehensive studies on the diversity and activity of planktonic populations of both large and small eukaryotes and their trophic interplay operating in the epilimnetic waters of the lake are available (33, 39, 49). Recent surveys have also provided a deeper insight into the seasonal variations of photosynthetic and heterotrophic picoplankton (67, 68), although very few data exist on the composition, diversity, and spatial distribution of bacterial and archaeal communities. In this regard, the studies conducted so far of the bacterial/archaeal ecology in Lake Kivu have been mostly focused on the implications on the methane cycle (34, 73), but none have addressed the presence and distribution of additional archaeal populations in the lake.During the last few years, microbial ecology studies carried out in a wide variety of habitats have provided compelling evidence of the ubiquity and abundance of mesophilic archaea (4, 10, 13, 19). Moreover, the discovery of genes encoding enzymes related to nitrification and denitrification in archaeal metagenomes from soil and marine waters (29, 86, 88) and the isolation of the first autotrophic archaeal nitrifier (40) demonstrated that some archaeal groups actively participate in the carbon and nitrogen cycles (56, 64, 69). In relation to aquatic environments, genetic markers of ammonia-oxidizing archaea (AOA) of the marine Crenarchaeota group 1.1a (MCG1) have consistently been found in water masses of several oceanic regions (6, 14, 17, 26, 28, 30, 37, 42, 51, 52, 89), estuaries (5, 9, 26, 53), coastal aquifers (26, 66), and stratified marine basins (15, 41, 44). Although less information is available for freshwater habitats, recent studies carried out in oligotrophic high-mountain and arctic lakes showed an important contribution of AOA in both the planktonic and the neustonic microbial assemblages (4, 61, 89).The oligotrophic nature of Lake Kivu and the presence of a well-defined redoxcline may provide an optimal niche for the development of autotrophic AOA populations. Unfortunately, no studies of the involvement of microbial planktonic populations in cycling nitrogen in the lake exist, and only data on the distribution of dissolved inorganic nitrogen species in relation to phytoplankton ecology (67, 68) and nutrient loading are available (54, 58). Our goals here were to ascertain whether or not archaeal populations other than methane-related lineages were relevant components of the planktonic microbial community and to determine whether the redox gradient imposed by the oxic-anoxic interphase acts as a threshold for their vertical distribution in epipelagic waters (0- to 100-m depth). To further explore the presence and potential activity of nitrifying archaeal populations in Lake Kivu, samples were analyzed for the abundance and vertical distribution of signature genes for these microorganisms, i.e., the 16S rRNA of MCG1 and the ammonia monooxygenase subunit A (amoA) gene by quantitative PCR.     

Macrolide Resistance in Microorganisms at Antimicrobial-Free Swine Farms

To investigate the relationship between agricultural antimicrobial use and resistance, a variety of methods for quantification of macrolide-lincosamide-streptogramin B (MLS_B) resistance were applied to organic swine farm manure samples. Fluorescence in situ hybridization was used to indirectly quantify the specific rRNA methylation resulting in MLS_B resistance. Using this method, an unexpectedly high prevalence of ribosomal methylation and, hence, predicted MLS_B resistance was observed in manure samples from two swine finisher farms that reported no antimicrobial use (37.6% ± 6.3% and 40.5% ± 5.4%, respectively). A culture-based method targeting relatively abundant clostridia showed a lower but still unexpectedly high prevalence of resistance at both farms (27.7% ± 11.3% and 11.7% ± 8.6%, respectively), while the prevalence of resistance in cultured fecal streptococci was low at both farms (4.0%). These differences in the prevalence of resistance across microorganisms suggest the need for caution when extrapolating from data obtained with indicator organisms. A third antimicrobial-free swine farm, a breeder-to-finisher operation, had low levels of MLS_B resistance in manure samples with all methods used (<9%). Tetracycline antimicrobials were detected in manure samples from one of the finisher farms and may provide a partial explanation for the high level of MLS_B resistance. Taken together, these findings highlight the need for a more fundamental understanding of the relationship between antimicrobial use and the prevalence of antimicrobial resistance.Clinical data have documented a substantial rise in the levels of antimicrobial resistance (reviewed in reference 22). In response to this alarming rise, national and international initiatives have been developed to limit the use of antimicrobials in both human and veterinary medicine, with some successes. However, some of the data suggest a more complicated relationship between the patterns of antimicrobial use and the resulting prevalence of resistance. For both avoparcin and chloramphenicol, a ban was not effective in reducing the prevalence of resistance to the respective antimicrobial in pig isolates (2, 9). This may be due to coselection by the continued use of other types of antimicrobials (1, 15, 16, 33). Coselection by other antimicrobials, however, cannot explain the persistence of antimicrobial resistance for years after all use of antimicrobials was stopped, as documented in other studies of swine (13, 25). A better understanding of this complex relationship is needed to provide a basis for developing more-effective measures to control the prevalence of antimicrobial resistance. One means for investigating the factors influencing the prevalence of resistance is through comparisons between conventional farms and organic, antimicrobial-free farms (12, 13, 18, 25) or the wilderness (14, 19).The current study focused on macrolide antimicrobials, for which the most clinically relevant resistance mechanisms are efflux and target site modification (20). Resistance via modification of the target site on the ribosome may be achieved either through point mutations in rRNA or proteins or through acquisition of an erm gene catalyzing a site-specific mono- or dimethylation of the 23S rRNA (37). The point mutations confer various levels of resistance and degrees of cross-resistance (35), and their known distribution is currently limited, although this may simply reflect the historical experimental focus (20, 35). Dimethylation of A2058 (Escherichia coli numbering), on the other hand, consistently results in high-level resistance (for antimicrobial concentrations above 1 mg/ml) for three structurally unrelated classes of antimicrobials, macrolides, lincosamides, and streptogramin Bs, or macrolide-lincosamide-streptogramin B (MLS_B) antimicrobials, because of their shared target site (37). Constitutive expression of an erm dimethylase can also confer resistance to the newer ketolides, which are erythromycin (macrolide) derivatives developed for use on macrolide-resistant pathogens, and the degree of resistance correlates with the degree of methylation (11). The ribosomal methylation resistance mechanism is of particular concern for this work for the following three reasons. (i) It confers a high level of resistance. (ii) It can be acquired through horizontal gene transfer and thus has the potential for rapid spread. (iii) It is relevant to swine production environments in the United States because all three classes of MLS_B antimicrobials are used there. A variety of methods have been used to quantify macrolide resistance, including traditional culture-based methods (for an example, see reference 9), PCR (for examples, see references 27 and 32), or fluorescence in situ hybridization (FISH) (for an example, see reference 34) detection of specific point mutations known to result in resistance in the targeted microorganisms, using PCR to detect erm and mef (efflux) genes (for examples, see references 6 and 31) and using membrane hybridizations to detect the degree of methylation at A2058 (5, 18).In our previous study of swine production, a discrepancy was observed between culture-based measurements of resistance to the macrolide tylosin and membrane hybridizations quantifying the ribosomal methylation leading to MLS_B resistance (18). Cultured fecal streptococci showed a low prevalence of tylosin resistance (4.0%) in manure samples from an organic farm, as expected in the absence of the selective pressure imposed by the use of antimicrobials. However, membrane hybridizations quantifying the ribosomal methylation leading to MLS_B resistance in all bacteria in the swine waste samples suggested the presence of a much higher level of resistance (approximately 50%). One explanation for this discrepancy is that the prevalence of resistance in the fecal streptococci was not representative of the overall prevalence of resistance in this community. However, the high level of resistance measured with the molecular method was surprising in the absence of antimicrobial use and could also be explained as an artifact of the membrane hybridization methodology.The primary objectives of this paper were to resolve this discrepancy between culture-based and molecular methods and, if the unexpectedly high prevalence of antimicrobial resistance was confirmed, to investigate possible explanations. To accomplish the first objective, we developed a variation of FISH to indirectly quantify the specific rRNA methylation resulting in MLS_B resistance and provide insight into the identity of the putative resistant microorganisms. The major group identified, Clostridium cluster XIVa, was targeted with a culture-based method to provide an independent quantification of resistance. The results presented here have confirmed an unexpectedly high prevalence of MLS_B resistance at two organic farms. They also support the hypothesis that the prior discrepancy resulted from differences in the prevalence of resistance across groups of microorganisms.     

Estimation of Pig Fecal Contamination in a River Catchment by Real-Time PCR Using Two Pig-Specific Bacteroidales 16S rRNA Genetic Markers

The microbiological quality of coastal or river water can be affected by fecal contamination from human or animal sources. To discriminate pig fecal pollution from other pollution, a library-independent microbial source tracking method targeting Bacteroidales host-specific 16S rRNA gene markers by real-time PCR was designed. Two pig-specific Bacteroidales markers (Pig-1-Bac and Pig-2-Bac) were designed using 16S rRNA gene Bacteroidales clone libraries from pig feces and slurry. For these two pig markers, 98 to 100% sensitivity and 100% specificity were obtained when tested by TaqMan real-time PCR. A decrease in the concentrations of Pig-1-Bac and Pig-2-Bac markers was observed throughout the slurry treatment chain. The two newly designed pig-specific Bacteroidales markers, plus the human-specific (HF183) and ruminant-specific (BacR) Bacteroidales markers, were then applied to river water samples (n = 24) representing 14 different sites from the French Daoulas River catchment (Brittany, France). Pig-1-Bac and Pig-2-Bac were quantified in 25% and 62.5%, respectively, of samples collected around pig farms, with concentrations ranging from 3.6 to 4.1 log₁₀ copies per 100 ml of water. They were detected in water samples collected downstream from pig farms but never detected near cattle farms. HF183 was quantified in 90% of water samples collected downstream near Daoulas town, with concentrations ranging between 3.6 and 4.4 log₁₀ copies per 100 ml of water, and BacR in all water samples collected around cattle farms, with concentrations ranging between 4.6 and 6.0 log₁₀ copies per 100 ml of water. The results of this study highlight that pig fecal contamination was not as frequent as human or bovine fecal contamination and that fecal pollution generally came from multiple origins. The two pig-specific Bacteroidales markers can be applied to environmental water samples to detect pig fecal pollution.Human and animal fecal pollution of coastal environments affects shellfish and recreational water quality and safety, in addition to causing economic losses from the closure of shellfish harvesting areas and from bathing restrictions (13, 19, 33). Human feces are known to contain human-specific enteric pathogens (3, 18, 28), but animals can also be reservoirs for numerous enteric human pathogens, such as Escherichia coli O157:H17, Salmonella spp., Mycobacterium spp., or Listeria spp., that may persist in the soil or surface waters (6, 8, 22, 24). Among animals, pigs are known to carry human pathogens that are excreted with fecal wastes. There are approximately 125 million pigs in the European Union (EU) and 114 million in North America (12, 36, 48), generating an estimated 100 and 91 million tons of pig slurry per year, respectively (4). France, the third largest pig producer in the EU, with about 23,000 farms, generates 8 to 10 million tons of pig slurry per year. Brittany accounts for 56.1% of the total national pig production on only 6% (27,200 km²) of the French territory, though it has 40% (2,700 km) of the coastline. This production could contaminate the environment when tanks on farms overflow, when slurry or compost is spread onto soils, or to a lesser extent, when lagoon surface waters are used for irrigation (38, 47, 52).Fecal contamination in shellfish harvesting and bathing areas is currently evaluated by the detection and enumeration of culturable facultative-anaerobic bacteria, such as E. coli, enterococci, or fecal coliforms (11), in shellfish and bathing waters (European Directives 2006/113/CE and 2006/7/CE). Pigs are among the potential sources of E. coli inputs to the environment; a pig produces approximately 1 × 10⁷ E. coli bacteria per gram of feces, which corresponds to an E. coli flow rate per day that is 28 times higher than that for one human (16, 34, 55).E. coli is not a good indicator of fecal sources of pollution in water because of its presence in both human and animal feces; therefore, alternative fecal indicators must be used. Microbial source tracking methods (44) are being developed to discriminate between human and nonhuman sources of fecal contamination and to distinguish contamination from different animal species (17, 46, 54). Many of these methods are library dependent, requiring a large number of isolates to be cultured and tested, which is time consuming and labor intensive. For these reasons, library-independent methods are preferred for the detection of host-specific markers.The detection of host-specific Bacteroidales markers is a promising library-independent method and has been used for identifying contamination from human and bovine origins (25, 29, 39, 40, 45). In this study, we selected Bacteroidales 16S rRNA gene markers and real-time PCR to focus on fecal contamination from pigs. To date, only one pig-specific Bacteroidales 16S rRNA gene marker has been developed and used on water samples for the identification of pig fecal contamination by real-time PCR assay (SYBR green) (37). When this pig-specific Bacteroidales marker was tested on a small number of fecal samples (n = 16), it showed some cross-reaction with human and cow feces.The present study investigated pig fecal contamination in a French catchment, the Daoulas estuary (Brittany), which has commercial and recreational shellfish harvesting areas and which is potentially subject to fecal contamination. The aims of the present study were (i) to design new primers for the detection and quantification of pig-specific Bacteroidales 16S rRNA genes by TaqMan analysis; (ii) to validate the sensitivity and specificity of the new primers and TaqMan assay using target (feces, slurry, compost, and lagoon water samples) and nontarget (human and other animal sources) DNA, respectively; and (iii) to evaluate the TaqMan assay for proper detection and quantitative estimation of pig-associated fecal pollution. The study represents the first application of pig-specific Bacteroidales markers using a TaqMan assay in Europe and included a monitoring study of marker levels throughout the various stages of slurry treatment.     

Performance Assessment PCR-Based Assays Targeting Bacteroidales Genetic Markers of Bovine Fecal Pollution

There are numerous PCR-based assays available to characterize bovine fecal pollution in ambient waters. The determination of which approaches are most suitable for field applications can be difficult because each assay targets a different gene, in many cases from different microorganisms, leading to variation in assay performance. We describe a performance evaluation of seven end-point PCR and real-time quantitative PCR (qPCR) assays reported to be associated with either ruminant or bovine feces. Each assay was tested against a reference collection of DNA extracts from 247 individual bovine fecal samples representing 11 different populations and 175 fecal DNA extracts from 24 different animal species. Bovine-associated genetic markers were broadly distributed among individual bovine samples ranging from 39 to 93%. Specificity levels of the assays spanned 47.4% to 100%. End-point PCR sensitivity also varied between assays and among different bovine populations. For qPCR assays, the abundance of each host-associated genetic marker was measured within each bovine population and compared to results of a qPCR assay targeting 16S rRNA gene sequences from Bacteroidales. Experiments indicate large discrepancies in the performance of bovine-associated assays across different bovine populations. Variability in assay performance between host populations suggests that the use of bovine microbial source-tracking applications will require a priori characterization at each watershed of interest.The ability to discriminate between bovine and other sources of fecal contamination is necessary for the accurate evaluation of human health risks associated with agricultural runoff and focused water quality management to make waters safe for human use. Many methods have been proposed to identify bovine fecal pollution using a variety of different microbiology and molecular techniques. One of the most widely used approaches utilizes a PCR to amplify a gene target that is specifically found in a host population. Currently, there are numerous PCR-based assays for the detection and/or quantitative assessment of bovine fecal pollution available for microbial source-tracking (MST) applications (1, 5-7, 11, 14, 17, 18, 21, 23). These assays target genes ranging from mitochondrial DNA to ribosomal rRNA to other functional genes involved in microorganism-host interactions.The majority of the reported bovine-associated PCR assays target 16S rRNA genes from the order Bacteroidales. This bacterial group constitutes a large proportion of the normal gut microbiota of most animals, including bovines (28), and contains subpopulations closely associated with other animal hosts such as swine, horse, and human (1, 3, 6, 18, 24). Host-associated PCR-based assays targeting Bacteroidales genetic markers have been used to investigate the sources and levels of fecal pollution at a number of beaches and inland watersheds, with variable levels of success (10, 13, 22, 27). Researchers have postulated that differences in host animal age, health, diet, and geographic location may influence bacterial community structures in the bovine gastrointestinal tract (2, 9, 26). Without a priori knowledge of the potential representational bias introduced by such factors, it may be difficult to use these assays with confidence as indicators of bovine fecal pollution.Assay specificity and sensitivity and the prevalence and abundance of genetic marker determinations are typically estimated from the systematic testing of a collection of reference fecal sources collected from known animal sources. However, the characterization of assay performance has been limited, in most cases, to animal sources originating from a particular geographic region or industry, such as dairy or beef. The determination of assay performance across a range of different host populations is essential as the field moves toward the implementation of PCR-based host-associated fecal pollution assessment approaches.We report a performance study of seven PCR and quantitative PCR (qPCR) assays targeting Bacteroidales genes reported to be associated with either ruminant (e.g., bovine, goat, sheep, deer, and others) or bovine feces. Each assay was tested against a reference collection of DNA extracts from 247 individual bovine fecal samples representing 11 different populations. Assay specificity was determined by testing 175 fecal DNA extracts from 24 different animal species. For qPCR assays, the abundance of each genetic marker was measured within each bovine population and compared to quantities of Bacteroidales 16S rRNA genetic markers. These analyses indicated large discrepancies in assay performance across different bovine populations.