Distribution of Dehalococcoidia in the Anaerobic Deep Water of a Remote Meromictic Crater Lake and Detection of Dehalococcoidia-Derived Reductive Dehalogenase Homologous Genes

Here we describe the natural occurrence of bacteria of the class Dehalococcoidia (DEH) and their diversity at different depths in anoxic waters of a remote meromictic lake (Lake Pavin) using 16S rRNA gene amplicon sequencing and quantitative PCR. Detected DEH are phylogenetically diverse and the majority of 16S rRNA sequences have less than 91% similarity to previously isolated DEH 16S rRNA sequences. To predict the metabolic potential of detected DEH subgroups and to assess if they encode genes to transform halogenated compounds, we enriched DEH-affiliated genomic DNA by using a specific-gene capture method and probes against DEH-derived 16S rRNA genes, reductive dehalogenase genes and known insertion sequences. Two reductive dehalogenase homologous sequences were identified from DEH-enriched genomic DNA, and marker genes in the direct vicinity confirm that gene fragments were derived from DEH. The low sequence similarity with known reductive dehalogenase genes suggests yet-unknown catabolic potential in the anoxic zone of Lake Pavin.     

Prevalence of Burkholderia sp. nodule symbionts on four mimosoid legumes from Barro Colorado Island, Panama

Sequences of 16S rRNA and partial 23S rRNA genes and PCR assays with genotype-specific primers indicated that bacteria in the genus Burkholderia were the predominant root nodule symbionts for four mimosoid legumes (Mimosa pigra, M. casta, M. pudica, and Abarema macradenia) on Barro Colorado Island, Panama. Among 51 isolates from these and a fifth mimosoid host (Pithecellobium hymenaeafolium), 44 were Burkholderia strains while the rest were placed in Rhizobium, Mesorhizobium, or Bradyrhizobium. The Burkholderia strains displayed four distinct rRNA sequence types, ranging from 89% to 97% similarity for 23S rRNA and 96.5-98.4% for 16S rRNA. The most common genotype comprised 53% of all isolates sampled and was associated with three legume host species. All Burkholderia genotypes formed nodules on Macroptilium atropurpureum or Mimosa pigra, and sequencing of rRNA genes in strains re-isolated from nodules verified identity with inoculant strains. Sequence analysis of the nitrogenase alpha-subunit gene (nifD) in two of the Burkholderia genotypes indicated that they were most similar to a partial sequence from the nodule-forming strain Burkholderia tuberum STM 678 from South Africa. In addition, a PCR screen with primers specific to Burkholderia nodB genes yielded the expected amplification product in most strains. Comparison of 16S rRNA and partial 23S rRNA phylogenies indicated that tree topologies were significantly incongruent. This implies that relationships across the rRNA region may have been altered by lateral gene transfer events in this Burkholderia population.     

Power analysis for real-time PCR quantification of genes in activated sludge and analysis of the variability introduced by DNA extraction

The aims of this study were to determine the power of discrimination of the real-time PCR assay for monitoring fluctuations in microbial populations within activated sludge and to identify sample processing points where methodological changes are needed to minimize the variability in target quantification. DNA was extracted using a commercially available kit from mixed liquor samples taken from the aeration tank of four bench-scale activated-sludge reactors operating at 2-, 5-, 10-, and 20-day solid retention times, with mixed-liquor volatile suspended solid (MLVSS) values ranging from 260 to 2,610 mg/liter. Real-time PCR assays for bacterial and Nitrospira 16S rRNA genes were chosen because they represent, respectively, a highly abundant and a less-abundant bacterial target subject to clustering within the activated sludge matrix. The mean coefficient of variation in DNA yields (measured as microgram of DNA per milligram of MLVSS) in triplicate extractions of 12 different samples was 12.2%. Based on power analyses, the variability associated with DNA extraction had a small impact on the overall variability of the real-time PCR assay. Instead, a larger variability was associated with the PCR assay. The less-abundant target (Nitrospira 16S rRNA gene) had more variability than the highly abundant target (bacterial 16S rRNA gene), and samples from the lower-biomass reactors had more variability than samples from the higher-biomass reactors. Power analysis of real-time PCR assays indicated that three to five samples were necessary to detect a twofold increase in bacterial 16S rRNA genes, whereas three to five samples were required to detect a fivefold increase in Nitrospira 16S rRNA genes.     

苯酚胁迫下多刺裸腹溞实时定量PCR内参基因的筛选

为研究苯酚胁迫下多刺裸腹溞(Moina macrocopa)相关基因的表达情况, 筛选用于实时定量PCR分析的最佳内参基因。利用内参基因表达的cycle threshold(Ct值)非参数检验、GeNorm、NormFinder和BestKeeper四种方法对β-actin、16S rRNA和12S rRNA进行分析, 筛选出苯酚胁迫下多刺裸腹溞表达相对稳定的内参基因。结果显示, 从Ct值初步判定不同浓度苯酚胁迫后, 多刺裸腹溞体内β-actin、16S rRNA和12S rRNA均可稳定表达, 且稳定性顺序为: 16S rRNA>12S rRNA>β-actin, 从GeNorm软件分析显示内参基因的稳定性顺序为: 16S rRNA=β-actin>12S rRNA, NormFinder和Bestkeeper分析显示的稳定性顺序均为: 16S rRNA>β-actin>12S rRNA。基于以上四种方法对三个候选内参基因的筛选, 确定了16S rRNA作为多刺裸腹溞实时定量PCR的最佳内参基因, 有助于提高qRT-PCR分析的准确性, 为进一步研究苯酚胁迫多刺裸腹溞后目的基因功能的表达提供了基础。     

Use of rpoB and 16S rRNA genes to analyse bacterial diversity of a tropical soil using PCR and DGGE

AIM: To evaluate the rpoB gene as a biomarker for PCR-DGGE microbial analyses using soil DNA from the Cerrado, Brazil. METHODS: DNA extraction from soil was followed by Polymerase Chain Reaction (PCR) amplification of rpoB and 16S rRNA genes. PCR products were compared by Denaturing Gradient Gel Electrophoresis (DGGE) to compare gene/community profiles. RESULTS: The rpoB DGGE profiles comprised fewer bands than the 16S rDNA profiles and were easier to delineate and therefore to analyse. Comparison of the community profiles revealed that the methods were complementary. CONCLUSIONS, SIGNIFICANCE AND IMPACT OF THE STUDY: The gene for the beta subunit of the RNA polymerase, rpoB, is a single copy gene unlike 16S rDNA. Multiple copies of 16S rRNA genes in bacterial genomes complicate diversity assessments made from DGGE profiles. Using the rpoB gene offers a better alternative to the commonly used 16S rRNA gene for microbial community analyses based on DGGE.     

Phylogenetic analysis of Lactococcus lactis subspecies based on decoding the sequence of the pepT tripeptidase gene, the pepV dipeptidase gene and 16S rRNA

Tripeptidase (PepT) and dipeptidase (PepV), the enzymes located in the final stage of the intracellular proteolytic system, were demonstrated to be distributed widely in lactic acid bacteria, especially in lactococci. Both the tripeptidase genes (pepT) and dipeptidase genes (pepV) of 15 lactococcal strains consisting of the type and domestic strains were cloned and sequenced using normal and TAIL PCR methods. Amino acid sequences of these enzymes were highly conserved among strains. Evolutionary distance trees based on the sequence of 1239 nucleotides of pepT and 1416 nucleotide of pepV showed a similar cluster as that obtained from the 1499 fragment of the 16S rRNA. Based on this profile, the species Lactococcus lactis is reasonably divided into three subspecies groups, subsp. lactis, cremoris, and hordniae, as in the current classification. Figure of trees from pepT and pepV were essentially identical to each other and slightly more intricate than that from 16S rRNA. The K nuc values obtained from pepT and pepV genes were approximately ten times as high as that from 16S rRNA. Considering these results, phylogenetic analysis based on pepT and pepV genes may aid in a more precise index of classification of L. lactis subspecies. PepT and PepV seem to have evolved in similar directions in lactococci.     

Speciating Campylobacter jejuni and Campylobacter coli isolates from poultry and humans using six PCR-based assays

Six previously published polymerase chain reaction (PCR) assays each targeting different genes were used to speciate 116 isolates previously identified as Campylobacter jejuni using routine microbiological techniques. Of the 116 isolates, 84 were of poultry origin and 32 of human origin. The six PCR assays confirmed the species identities of 31 of 32 (97%) human isolates and 56 of 84 (67%) poultry isolates as C. jejuni. Twenty eight of 84 (33%) poultry isolates were identified as Campylobacter coli and the remaining human isolate was tentatively identified as Campylobacter upsaliensis based on the degree of similarity of 16S rRNA gene sequences. Four of six published PCR assays showed 100% concordance in their ability to speciate 113 of the 116 (97.4%) isolates; two assays failed to generate a PCR product with four to 10 isolates. A C. coli-specific PCR identified all 28 hippuricase gene (hipO)-negative poultry isolates as C. coli although three isolates confirmed to be C. jejuni by the remaining five assays were also positive in this assay. A PCR-restriction fragment length polymorphism assay based on the 16S rRNA gene was developed, which contrary to the results of the six PCR-based assays, identified 28 of 29 hipO-negative isolates as C. jejuni. DNA sequence analysis of 16S rRNA genes from four hipO-negative poultry isolates showed they were almost identical to the C. jejuni type strain 16S rRNA sequences ATCC43431 and ATCC33560 indicating that assays reliant on 16S rRNA sequence may not be suitable for the differentiation of these two species.     

A highly selective direct method of detecting sulphate-reducing bacteria in crude oil

AIMS: The aim of this work was to develop a highly selective method of detecting sulphate-reducing bacteria (SRB) in crude oil. METHODS: A pair of PCR primers was designed based on an alignment of the nucleotide sequence of the 16S rRNA genes from the Desulfovibrionaceae family. DNA extraction from crude oil was performed by the method using zirconia beads and a stool kit. RESULTS: The PCR specifically detected Desulfovibrio and Desulfomicrobium in a sediment sample. When nucleic acids extracted directly from crude oil were used for the PCR, 16S rRNA genes of Desulfovibrio and Thermodesulforhabdus norvegicus were detected. IMPACT OF STUDY: A simple direct method for detection of the SRB in crude oil using PCR was established.     

Characterization of the rRNA genes of Ehrlichia chaffeensis and Anaplasma phagocytophila

The rRNA genes of Ehrlichia chaffeensis and Anaplasma phagocytophila have been analyzed. The 16S rRNA genes were previously characterized for both of these agents. Southern hybridization was used to show that there are single copies of both the 16S and 23S rRNA genes in the genomes of each organism, and that the 16S rRNA genes were upstream from the 23S rRNA genes by at least 16 and 11 Kb for E. chaffeensis and A. phagocytophila, respectively. PCR amplification and gene walking was used to sequence the 23S and 5S rRNA genes, and show that these genes are contiguous and are likely expressed as a single operon. The level of homology between the E. chaffeensis and A. phagocytophila 23S and 5S rRNA genes, and 23S-5S spacers, was 91.8, 81.5, and 40%, respectively. To confirm the hybridization data, genome walking was used to sequence downstream of the 16S rRNA genes, and although no tRNA genes were identified, open reading frames encoding homologues of the Escherichia coli succinate dehydrogenase, subunit C, were found in both E. chaffeensis and A. phagocytophila. Phylogenetic analysis using the 23S rRNA gene suggests that reorganization of the phylum Proteobacteria by division of the class Alphaproteobacteria into two separate subclasses, may be appropriate.     

Power Analysis for Real-Time PCR Quantification of Genes in Activated Sludge and Analysis of the Variability Introduced by DNA Extraction

The aims of this study were to determine the power of discrimination of the real-time PCR assay for monitoring fluctuations in microbial populations within activated sludge and to identify sample processing points where methodological changes are needed to minimize the variability in target quantification. DNA was extracted using a commercially available kit from mixed liquor samples taken from the aeration tank of four bench-scale activated-sludge reactors operating at 2-, 5-, 10-, and 20-day solid retention times, with mixed-liquor volatile suspended solid (MLVSS) values ranging from 260 to 2,610 mg/liter. Real-time PCR assays for bacterial and Nitrospira 16S rRNA genes were chosen because they represent, respectively, a highly abundant and a less-abundant bacterial target subject to clustering within the activated sludge matrix. The mean coefficient of variation in DNA yields (measured as microgram of DNA per milligram of MLVSS) in triplicate extractions of 12 different samples was 12.2%. Based on power analyses, the variability associated with DNA extraction had a small impact on the overall variability of the real-time PCR assay. Instead, a larger variability was associated with the PCR assay. The less-abundant target (Nitrospira 16S rRNA gene) had more variability than the highly abundant target (bacterial 16S rRNA gene), and samples from the lower-biomass reactors had more variability than samples from the higher-biomass reactors. Power analysis of real-time PCR assays indicated that three to five samples were necessary to detect a twofold increase in bacterial 16S rRNA genes, whereas three to five samples were required to detect a fivefold increase in Nitrospira 16S rRNA genes.     

Frequency of formation of chimeric molecules as a consequence of PCR coamplification of 16S rRNA genes from mixed bacterial genomes.

PCR is routinely used in amplification and cloning of rRNA genes from environmental DNA samples for studies of microbial community structure and identification of novel organisms. There have been concerns about generation of chimeric sequences as a consequence of PCR coamplification of highly conserved genes, because such sequences may lead to reports of nonexistent organisms. To quantify the frequency of chimeric molecule formation, mixed genomic DNAs from eight actinomycete species whose 16S rRNA sequences had been determined were used for PCR coamplification of 16S rRNA genes. A large number of cloned 16S ribosomal DNAs were examined by sequence analysis, and chimeric molecules were identified by multiple-sequence alignment with reference species. Here, we report that the level of occurrence of chimeric sequences after 30 cycles of PCR amplification was 32%. We also show that PCR-induced chimeras were formed between different rRNA gene copies from the same organism. Because of the wide use of PCR for direct isolation of 16S rRNA sequences from environmental DNA to assess microbial diversity, the extent of chimeric molecule formation deserves serious attention.     

米尔顿姬小蜂线粒体16S rRNA与COⅠ基因片段序列测定及分析

【背景】米尔顿姬小蜂是一种入侵我国台湾地区的植食性小蜂,能够严重影响水果的产量和食用价值。目前在我国大陆没有分布,由于其个体微小,与近似种区别较小,通过传统的形态学分类方法难以鉴定,因此有必要研究其基因片段序列,探讨分子鉴定方法。【方法】利用PCR方法扩增并测定了米尔顿姬小蜂线粒体16SrRNA和COⅠ基因的部分序列,并对各序列的碱基组成进行了分析。然后根据COⅠ基因部分序列,利用DNAMAN的Maximum Likelihood方法构建了米尔顿姬小蜂与膜翅目其他科的系统发育树。【结果】16SrRNA基因的PCR扩增产物为426bp,COⅠ基因的PCR扩增产物为488bp。通过测序获得米尔顿姬小蜂16SrRNA和COⅠ基因部分序列,序列分析表明,16SrRNA和COⅠ基因的A+T含量均较高,存在较强的A+T偏向性。系统发育树显示,米尔顿姬小蜂与蚜小蜂科的Encarsia berlesei亲缘关系最近,与姬小蜂科的Chrysocharis nautius、C.eurynota亲缘关系较远。【结论与意义】本研究为米尔顿姬小蜂的分子鉴定提供了依据。     

Comparison of 16S rRNA and protein-coding genes as molecular markers for assessing microbial diversity (Bacteria and Archaea) in ecosystems

PCR amplification of the rRNA gene is the most popular method for assessing microbial diversity. However, this molecular marker is often present in multiple copies in cells presenting, in addition, an intragenomic heterogeneity. In this context, housekeeping genes may be used as taxonomic markers for ecological studies. However, the efficiency of these protein-coding genes compared to 16S rRNA genes has not been tested on environmental data. For this purpose, five protein marker genes for which primer sets are available, were selected (rplB, pyrG, fusA, leuS and rpoB) and compared with 16S rRNA gene results from PCR amplification or metagenomic data from aquatic ecosystems. Analysis of the major groups found in these ecosystems, such as Actinobacteria, Bacteroides, Proteobacteria and Cyanobacteria, showed good agreement between the protein markers and the results given by 16S rRNA genes from metagenomic reads. However, with the markers it was possible to detect minor groups among the microbial assemblages, providing more details compared to 16S rRNA results from PCR amplification. In addition, the use of a set of protein markers made it possible to deduce a mean copy number of rRNA operons. This average estimate is essentially lower than the one estimated in sequenced genomes.     

Nonradioactive method to study genetic profiles of natural bacterial communities by PCR-single-strand-conformation polymorphism.

We describe a new method for studying the structure and diversity of bacterial communities in the natural ecosystem. Our approach is based on single-strand-conformation polymorphism (SSCP) analysis of PCR products of 16S rRNA genes from complex bacterial populations. A pair of eubacterial universal primers for amplification of the variable V3 region were designed from the 16S rRNA sequences of 1,262 bacterial strains. The PCR conditions were optimized by using genomic DNAs from five gram-positive and seven gram-negative strains. The SSCP analysis of the PCR products demonstrated that a bacterial strain generated its characteristic band pattern and that other strains generated other band patterns, so that the relative diversity in bacterial communities could be measured. In addition, this method was sensitive enough to detect a bacterial population that made up less than 1.5% of a bacterial community. The distinctive differences between bacterial populations were observed in an oligotrophic lake and a eutrophic pond in a field study. The method presented here, using combined PCR amplification and SSCP pattern analyses of 16S rRNA genes, provides a useful tool to study bacterial community structures in various ecosystems.     

Closure of rRNA related gaps in the Chromobacterium violaceum genome with the PCR-assisted contig extension (PACE) protocol

In the finishing phase of the Chromobacterium violaceum genome project, the shotgun sequences were assembled into 57 contigs that were then organized into 19 scaffolds, using the information from shotgun and cosmid clones. Among the 38 ends resulting from the 19 scaffolds, 10 ended with sequences corresponding to rRNA genes (seven ended with the 5S rRNA gene and three ended with the 16S rRNA gene). The 28 non-ribosomal ends were extended using the PCR-assisted contig extension (PACE) methodology, which immediately closed 15 real gaps. We then applied PACE to the 16S rRNA gene containing ends, resulting in eight different sequences that were correctly assembled within the C. violaceum genome by combinatory PCR strategy, with primers derived from the non-repetitive genomic region flanking the 16S and 5S rRNA gene. An oriented combinatory PCR was used to correctly position the two versions (copy A and copy B, which differ by the presence or absence of a 100-bp insert); it revealed six copies corresponding to copy A, and two to copy B. We estimate that the use of PACE, followed by combinatory PCR, accelerated the finishing phase of the C. violaceum genome project by at least 40%.     

Overestimation of the abundance of sulfate-reducing bacteria in human feces by quantitative PCR targeting the Desulfovibrio 16S rRNA gene

The dominant genus of sulfate-reducing bacteria (SRB) in humans is Desulfovibrio, and quantitative PCR (QPCR) targeting the 16S rRNA gene is often used in assays. We show that the 16S rRNA gene assay overestimated SRB abundance in feces from 24 adults compared to QPCR assays using primers targeting two genes involved in SRB energy metabolism.     

Selective phylogenetic analysis targeted at 16S rRNA genes of thermophiles and hyperthermophiles in deep-subsurface geothermal environments

Deep-subsurface samples obtained by deep drilling are likely to be contaminated with mesophilic microorganisms in the drilling fluid, and this could affect determination of the community structure of the geothermal microflora using 16S rRNA gene clone library analysis. To eliminate possible contamination by PCR-amplified 16S rRNA genes from mesophiles, a combined thermal denaturation and enzyme digestion method, based on a strong correlation between the G+C content of the 16S rRNA gene and the optimum growth temperatures of most known prokaryotic cultures, was used prior to clone library construction. To validate this technique, hot spring fluid (76 degrees C) and river water (14 degrees C) were used to mimic a deep-subsurface sample contaminated with drilling fluid. After DNA extraction and PCR amplification of the 16S rRNA genes from individual samples separately, the amplified products from river water were observed to be denatured at 82 degrees C and completely digested by exonuclease I (Exo I), while the amplified products from hot spring fluid remained intact after denaturation at 84 degrees C and enzyme digestion with Exo I. DNAs extracted from the two samples were mixed and used as a template for amplification of the 16S rRNA genes. The amplified rRNA genes were denatured at 84 degrees C and digested with Exo I before clone library construction. The results indicated that the 16S rRNA gene sequences from the river water were almost completely eliminated, whereas those from the hot spring fluid remained.     

Sequence analysis of 16S rRNA genes amplified from two ribosomal RNA gene clusters of Bifidobacterium bifidum

Two rRNA gene clusters were detected in the genome of Bifidobacterium bifidum KCTC 3202^T using Southern blot analysis. To analyse the sequences of the 16S rRNA genes from rrnA and rrnB, 16S rDNAs were amplified by PCR using DNA fragments purified from gel slices containing each of the rRNA gene clusters. The amplified 16S rDNAs from rrnA and rrnB were cloned into vectors and three clones of each gene sequenced. The resultant sequences were confirmed by direct sequencing of the 16S rDNAs from rrnA and rrnB. Sequence differences were not found between rrnA and rrnB in 1488 bp of the 16S rRNA genes.