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RNA fingerprinting of microbial community in the rhizosphere soil of grain legumes.

Microbial structural and expression profiles of the rhizospheres of three legumes, faba beans, peas and white lupin, were compared by RNA-arbitrarily primed PCR technique. Two different primers, M13 reverse and 10-mer primers, were used in the amplification and products resolved on non-denaturing polyacrylamide gel. With both DNA and RNA profiles Lupinus and Pisum rhizospheres were more similar to each other than to Vicia rhizosphere. The RAP-PCR products were also dot blotted and probed for bacterial peptidase transcripts. Plant-dependent rhizosphere effect was evident by the marked absence of transcripts for bacterial neutral metallopeptidase in Lupinus rhizosphere. The results of dot blot were further confirmed by RT-PCR for the expression of bacterial neutral metallopeptidase in the three rhizospheres.

Bacteria↗

Environmental coupling between metal resistance genes and bacterial communities in Beijing urban green-space soils.

Urban green spaces are intensively managed ecosystems exposed to chronic, multisource, low-intensity anthropogenic inputs. These inputs may alter soil microbial communities and influence the distribution of metal resistance genes (MRGs). However, MRG distributions and their relationships with environmental conditions and bacterial communities remain unclear under the complex, non-extreme pollution conditions typical of these ecosystems. We investigated Beijing urban green spaces as a representative system using metagenomic sequencing and metagenome-assembled genome (MAG) analysis. We characterized soil MRG composition, its environmental associations, and the distribution of potential hosts. MRG composition differed significantly among ecological conservation (EC), transitional urban (TU), and central urban (CU) zones. These differences were closely associated with soil physicochemical properties and bacterial community structure. Available phosphorus (AP) was significantly associated with variation in both bacterial community structure and MRG composition. MAG-based analysis identified distinct potential-host compositions across the three functional zones. Proteobacteria were more frequently represented among dereplicated MAGs from EC soils, whereas Actinobacteria were more frequent in TU and CU soils. Heavy metal concentrations correlated with MRG composition. However, variation partitioning analysis did not identify an independent contribution from heavy metals after accounting for soil physicochemical properties and bacterial community structure. These findings indicate that urban green-space soil monitoring should incorporate environmental conditions and microbial community characteristics rather than rely solely on total metal concentrations.

Soil Microbiology↗

Metagenomic-based quantification of Pseudomonas aeruginosa burden links microbiome collapse to mortality in severe community-acquired pneumonia.

BACKGROUND: Severe community-acquired pneumonia (sCAP) remains a major cause of mortality in critically ill patients, Pseudomonas aeruginosa (P. aeruginosa) is a frequent pathogen associated with poor prognosis in this population. While metagenomic next-generation sequencing (mNGS) is widely used for pathogen detection, its value in quantifying pathogen abundance and linking it to lung microbiome alterations remains unclear. OBJECTIVES: This study investigated the association between P. aeruginosa abundance quantified by mNGS and lung microbiome alterations and clinical outcomes in sCAP patients. METHODS: This multicenter retrospective study included 130 patients with sCAP caused by P. aeruginosa from five hospitals (September 2021-June 2025). Patients were stratified into low, medium, and high abundance groups according to mNGS-derived reads per ten million (RPTM) values of P. aeruginosa. Lung microbiome diversity and community structure were analyzed, and differences between groups were assessed using appropriate statistical methods. The association between P. aeruginosa abundance and clinical outcomes was evaluated using correlation analysis, sankey diagram, receiver operating characteristic curve, grey zone analysis and logistic regression. RESULTS: A total of 130 patients with sCAP due to P. aeruginosa were stratified into low, medium, and high abundance groups based on mNGS-derived RPTM value. Microbial diversity decreased progressively with increasing abundance, and community structures differed significantly among groups (all P&#x2009;<&#x2009;0.05). P. aeruginosa became increasingly dominant, accounting for up to 95.99% of the microbiota in the high abundance group. Higher P. aeruginosa abundance was associated with increased disease severity, including longer mechanical ventilation, prolonged hospital stay, and higher 28-day mortality. Sankey diagram showed a progressive decline in treatment effectiveness and an increase in mortality with increasing P. aeruginosa abundance. P. aeruginosa_RPTM showed moderate predictive value for mortality (AUC&#x2009;=&#x2009;0.761, Sens&#x2009;=&#x2009;69.40%, Spec&#x2009;=&#x2009;75.30%, cutoff: 41122, grey zone: 2287-220339) and remained independently associated with 28-day mortality in multivariable analysis [2.219 (1.509 to 3.262), P&#x2009;<&#x2009;0.001]. CONCLUSION: In patients with sCAP, higher P. aeruginosa_RPTM measured by mNGS was associated with reduced lung microbiome diversity and unfavorable clinical outcomes. RPTM-based risk stratification may help identify patients at increased risk of poor prognosis.

Humans↗

From sequence space to ecological function: microbiome-derived antimicrobial peptides as community effectors and therapeutic leads.

Antimicrobial peptide research has long centred on host defence molecules, yet microbiomes themselves encode a diverse and increasingly important repertoire of peptide-based antimicrobials. These microbiome-derived antimicrobial peptides include bacteriocins, ribosomally synthesised and post-translationally modified peptides, cryptic short open reading frame-encoded peptides, embedded antimicrobial regions within larger proteins, and selected peptide antibiotics recovered from human, animal, plant and environmental microbiomes. Recent advances in genome mining, metagenomics, and machine learning have greatly expanded the scale of discovery, moving the field from a handful of landmark exemplars to large candidate catalogues spanning the global microbiome. In the clearest cases, these molecules are not only anti-infective leads but ecological effectors: they mediate microbial competition, enforce colonisation resistance, and influence community structure within densely occupied niches. The present review synthesises the field across discovery classes, microbiome sources, ecological roles, and translational bottlenecks, emphasizing a central limitation of the field: candidate catalogues are expanding at extraordinary scale, while evidence for native expression, producer assignment, ecological function, and in vivo relevance remains limited for the vast majority of predicted molecules. Progress will depend on workflows that connect sequence level prediction to biological context through expression support, producer assignment, community level validation, and perturbation-based approaches that distinguish ecological association from causal function. Microbiome-derived antimicrobial peptides are best understood not only as promising therapeutic leads, but also as molecular mediators of microbial social life whose ecological origins are central to their interpretation and future application.

Microbiota↗

The Microbial Rosetta Stone database: A common structure for microbial biosecurity threat agents.

Infectious microorganisms are important to multiple communities engaged in biodefense and biosecurity, including the agencies responsible for health, defense, law enforcement, agriculture, and drug and food safety. Many agencies have created lists of high priority infectious microorganisms to prioritize research efforts or to formally control the possession and distribution of specific organisms or toxins. However, the biological classification of infectious microorganisms is often complex and ambiguous, leading to uncertainty and confusion for scientists involved in biosecurity work. To address this problem, we created a database, known as the Microbial Rosetta Stone, which resolves many of these ambiguities and includes links to additional information on the microbes, such as gene sequence data and scientific literature. Here we discuss the efforts to coordinate organism names from pathogen lists from various governmental agencies according to biological relatedness and show the overlap of high-priority organisms from multiple agencies. To our knowledge, this is the first comprehensive coordination of pathogens, synonyms, and correct taxonomic names. The organized tables and visual aids are freely available at http://www.microbialrosettastone.com. This website provides a single location where access to information on a broad range of disease-causing organisms and toxins is available to members of the biosecurity community.

Access to Information↗

Advances in the study of marine viruses.

Free viruses are abundant in the world's oceans. With this realization has come renewed interest in marine viruses and the role viruses play in structuring marine planktonic communities, primarily members of the microbial assemblage. The principal means of studying marine viruses has been by electron microscopy. This review discusses the use of microscopy to study free viruses and compares the ultrastructure of free viruses with bacteriophages and viruses which have been cultured from marine hosts. Many of the free viruses are smaller than typical cultured bacteriophages, which suggests that either many native phages are smaller than cultured phages or that many of the free viruses may be members of those phage families with smaller size classes or, in some cases, that many free viruses may be eukaryotic viruses. Some of the forms currently considered free viruses may be "defective phage" or "phage ghosts," noninfectious particles produced by bacteria, or virus-sized inorganic/organic colloids and warrant further study. Gross virus ultrastructure cannot be used as the sole criterion for determining marine virus diversity, since, as with many microbes, many unrelated viruses have similar morphological characters. Determination of DNA or RNA content as well as studies of protein and DNA relatedness of marine viruses will be needed if we are to understand the complexity of marine virus assemblages. Another important direction for future work is the need for marine bacteriophage/host and virus/host systems in order to study the biology of virus infection.

Bacteriophages↗

Spatial distribution of respiratory activity in Pseudomonas putida 54G biofilms degrading volatile organic compounds (VOC).

All over the world, Microbial systems are used to clean soils, waters and air streams that have been contaminated with volatile organic compounds (VOC). Information about the structure and function of the microbes that metabolize these contaminants can be gained by studying these microbial systems. Here we describe the spatial patterns of respiratory activity in Pseudomonas putida 54G aerobic biofilms degrading two VOC, toluene and ethanol. Oxygen concentration profiles within the biofilm were measured using microsensors. These profiles are thought to be most accurate reflection of the structure and function of aerobic microbial biofilms. The degrading process certainly imposed a structural and functional patterns on the microbial biofilm community growing at the expense of the VOC substrate. Cryosectioning coupled with the staining of biofilm samples confirmed a high respiratory activity near the substratum, that decreased towards the biofilm/fluid interface. The accumulation of inactive cells in the outer biofilm layer protects the inner biofilm from high concentrations of toxic compounds and also limits the degradation rate. This stratification phenomenon appeared to be a general pattern for P. putida 54G biofilms degrading VOC.

Biofilms↗

Displacement of an herbaceous plant species community by mycorrhizal and non-mycorrhizal Gmelina arborea, an exotic tree, grown in a microcosm experiment.

Gmelina arborea Roxb. (Gmelina, Yemane) is a fast growing tree, native from India and considered as a potentially invasive woody plant in West Africa. Mycorrhizal inoculation of seedlings with Glomus intraradices was performed to study (1) the effect on the growth of G. arborea, (2) the impact on the catabolic diversity of soil microbial communities and (3) the influence on the structure of herbaceous plant species communities in microcosms. Treatments consisted of control plants, pre-planting fertilizer application and arbuscular mycorrhizal (AM) inoculation. After 4 months' culture in autoclaved soil, G. arborea seedlings were either harvested for growth measurement or transferred into containers filled with the same soil but not sterilized. Other containers were kept without G. arborea seedlings. After 12 months' further culture, effects of fertilizer amendment and AM inoculation on the growth of G. arborea seedlings were recorded. AM colonization was significantly and positively correlated with plant diversity. The substrate-induced respiration response to carboxylic acids was significantly higher in the absence of G. arborea and in the presence of G. intraradices as compared to the other treatments. The influence of AM symbiosis on plant coexistence and on allelopathic processes of invasive plants are discussed.

Lamiaceae↗

Modelling microbial growth in structured foods: towards a unified approach.

Historically, the ability of foods to support the growth of spoilage organisms and food-borne pathogens has been assessed by inoculating a food with an organism of interest, and following its growth over a period of time. Information gained from such challenge tests, together with knowledge of the organoleptic stability of the product, can then be used to determine an appropriate shelf-life for the food. Whilst this approach may be seen as the "gold-standard" of microbiological assessment of food, it is both time-consuming and costly. A major advance to complement challenge testing was the development of predictive modelling, when it was demonstrated that the growth of a wide range of organisms of interest could be quite accurately modelled as a function of only a few environmental parameters-primarily temperature, pH and water activity (a(w)), with perhaps other factors such as nitrite, organic acids and oxygen. This approach to predictive microbiology is embodied in software tools such as the UK Food MicroModel and the Pathogen Modeling Program from the USA. Whilst modelling of this form yields accurate predictions of the growth of organisms in the majority of foods, there are occasions when there are discrepancies between the model and the observed growth. These discrepancies are most often described as "fail-safe", i.e. the observed growth is slower than predicted by the model. This paper examines the role of food structure in the development of microbial populations and communities, and describes the methodologies we propose to begin to tackle some of these complex and interlinked issues.

Bacteria↗

Competition and coexistence of sulfate-reducing and methanogenic populations in anaerobic biofilms.

The microbial population structure and function of natural anaerobic communities maintained in laboratory fixed-bed biofilm reactors were tracked before and after a major perturbation, which involved the addition of sulfate to the influent of a reactor that had previously been fed only glucose (methanogenic), while sulfate was withheld from a reactor that had been fed both glucose and sulfate (sulfidogenic). The population structure, determined by using phylogenetically based oligonucleotide probes for methanogens and sulfate-reducing bacteria, was linked to the functional performance of the biofilm reactors. Before the perturbation, the methanogenic reactor contained up to 25% methanogens as well as 15% sulfate-reducing bacteria, even though sulfate was not present in the influent of this reactor. Methanobacteriales and Desulfovibrio spp. were the most abundant methanogens and sulfate-reducing bacteria, respectively. The presence of sulfate-reducing bacteria (primarily Desulfovibrio spp. and Desulfobacterium spp.) in the absence of sulfate may be explained by their ability to function as proton-reducing acetogens and/or fermenters. Sulfate reduction began immediately following the addition of sulfate consistent with the presence of significant levels of sulfate-reducing bacteria in the methanogenic reactor, and levels of sulfate-reducing bacteria increased to a new steady-state level of 30 to 40%; coincidentally, effluent acetate concentrations decreased. Notably, some sulfate-reducing bacteria (Desulfococcus/Desulfosarcina/Desulfobotulus group) were more competitive without sulfate. Methane production decreased immediately following the addition of sulfate; this was later followed by a decrease in the relative concentration of methanogens, which reached a new steady-state level of approximately 8%. The changeover to sulfate-free medium in the sulfidogenic reactor did not cause a rapid shift to methanogenesis. Methane production and a substantial increase in the levels of methanogens were observed only after approximately 50 days following the perturbation.

Journal Article↗

Comparative diversity of ammonia oxidizer 16S rRNA gene sequences in native, tilled, and successional soils.

Autotrophic ammonia oxidizer (AAO) populations in soils from native, tilled, and successional treatments at the Kellogg Biological Station Long-Term Ecological Research site in southwestern Michigan were compared to assess effects of disturbance on these bacteria. N fertilization effects on AAO populations were also evaluated with soils from fertilized microplots within the successional treatments. Population structures were characterized by PCR amplification of microbial community DNA with group-specific 16S rRNA gene (rDNA) primers, cloning of PCR products and clone hybridizations with group-specific probes, phylogenetic analysis of partial 16S rDNA sequences, and denaturing gradient gel electrophoresis (DGGE) analysis. Population sizes were estimated by using most-probable-number (MPN) media containing varied concentrations of ammonium sulfate. Tilled soils contained higher numbers than did native soils of culturable AAOs that were less sensitive to different ammonium concentrations in MPN media. Compared to sequences from native soils, partial 16S rDNA sequences from tilled soils were less diverse and grouped exclusively within Nitrosospira cluster 3. Native soils yielded sequences representing three different AAO clusters. Probes for Nitrosospira cluster 3 hybridized with DGGE blots from tilled and fertilized successional soils but not with blots from native or unfertilized successional soils. Hybridization results thus suggested a positive association between the Nitrosospira cluster 3 subgroup and soils amended with inorganic N. DGGE patterns for soils sampled from replicated plots of each treatment were nearly identical for tilled and native soils in both sampling years, indicating spatial and temporal reproducibility based on treatment.

Ammonia↗

Effects of temperature and biostimulation on oil-degrading microbial communities in temperate estuarine waters.

Improved strategies for oil-spill remediation will follow a better understanding of the nature, activities and regulating parameters of petroleum hydrocarbon-degrading microbial communities in temperate marine environments. The addition of crude oil to estuarine water resulted in an immediate change in bacterial community structure, increased abundance of hydrocarbon-degrading microorganisms and a rapid rate of oil degradation, suggesting the presence of a pre-adapted oil-degrading microbial community and sufficient supply of nutrients. Relatively rapid degradation was found at 4 degrees C, the lowest temperature tested; and it was temperature rather than nutrient addition that most influenced the community structure. A detailed phylogenetic analysis of oil-degrading microcosms showed that known hydrocarbonoclastic organisms like Thalassolituus and Cycloclasticus, as well as proposed oil degraders like Roseobacter, were present at both 4 degrees C and 20 degrees C, demonstrating the thermo-versatility of such organisms. Clones related to Oleispira antarctica (98% 16S rRNA similarity), a psychrophilic alkane degrader, were dominant in the 4 degrees C oil-degrading community, whereas other clones constituting a different clade and showing 94% similarity 16S rRNA with O. antarctica were found in situ. These findings demonstrate the potential for intrinsic bioremediation throughout the course of the year in temperate estuarine waters, and highlight the importance of both versatile psychrotolerant and specialized psychrophilic hydrocarbon-degrading microbes in effecting this process at low temperatures.

Bacteria↗

Flexible community structure correlates with stable community function in methanogenic bioreactor communities perturbed by glucose.

Methanogenic bioreactor communities were used as model ecosystems to evaluate the relationship between functional stability and community structure. Replicated methanogenic bioreactor communities with two different community structures were established. The effect of a substrate loading shock on population dynamics in each microbial community was examined by using morphological analysis, small-subunit (SSU) rRNA oligonucleotide probes, amplified ribosomal DNA (rDNA) restriction analysis (ARDRA), and partial sequencing of SSU rDNA clones. One set of replicated communities, designated the high-spirochete (HS) set, was characterized by good replicability, a high proportion of spiral and short thin rod morphotypes, a dominance of spirochete-related SSU rDNA genes, and a high percentage of Methanosarcina-related SSU rRNA. The second set of communities, designated the low-spirochete (LS) set, was characterized by incomplete replicability, higher morphotype diversity dominated by cocci, a predominance of Streptococcus-related and deeply branching Spirochaetales-related SSU rDNA genes, and a high percentage of Methanosaeta-related SSU rRNA. In the HS communities, glucose perturbation caused a dramatic shift in the relative abundance of fermentative bacteria, with temporary displacement of spirochete-related ribotypes by Eubacterium-related ribotypes, followed by a return to the preperturbation community structure. The LS communities were less perturbed, with Streptococcus-related organisms remaining prevalent after the glucose shock, although changes in the relative abundance of minor members were detected by morphotype analysis. A companion paper demonstrates that the more stable LS communities were less functionally stable than the HS communities (S. A. Hashsham, A. S. Fernandez, S. L. Dollhopf, F. B. Dazzo, R. F. Hickey, J. M. Tiedje, and C. S. Criddle, Appl. Environ. Microbiol. 66:4050-4057, 2000).

Anaerobiosis↗

Improvements for comparative analysis of changes in diversity of microbial communities using internal standards in PCR-DGGE.

The use of internal standards both during DNA extraction and PCR-DGGE procedure gives the opportunity to analyse the relative abundance of individual species back to the original sample, thereby facilitating relative comparative analysis of diversity. Internal standards were used throughout the DNA extraction and PCR-DGGE to compensate for experimental variability. Such variability causes decreased reproducibility among replicate samples as well as compromise comparisons between samples, since experimental errors cannot be differentiated from actual changes in the community abundance and structure. The use of internal standards during DNA extraction and PCR-DGGE is suitable for ecological and ecotoxicological experiments with microbial communities, where relative changes in the community abundance and structure are studied. We have developed a protocol Internal Standards in Molecular Analysis of Diversity (ISMAD) that is simple to use, inexpensive, rapid to perform and it does not require additional samples to be processed. The internal standard for DNA extraction (ExtrIS) is a fluorescent 510-basepair PCR product which is added to the samples prior to DNA extraction, recovered together with the extracted DNA from the samples and analysed with fluorescence spectrophotometry. The use of ExtrIS during isolation of sample DNA significantly reduced variation among replicate samples. The PCR internal standard (PCR(IS)) originates from the Drosophila melanogaster genome and is a 140-basepair long PCR product, which is amplified by non-competitive primers in the same PCR reaction tubes as the target DNA and analysed together with the target PCR product on the same DGGE gel. The use of PCR(IS) during PCR significantly reduced variation among replicate samples both when assessing total PCR product and when comparing bands representing species on a DGGE gel. The entire ISMAD protocol was shown to accurately describe changes in relative abundance in an environmental sample using PCR-DGGE. It should, however, be mentioned that despite the use of ISMAD some inherent biases still exist in DNA extraction and PCR-DGGE and these should be taken into consideration when interpreting the diversity in a sample based on a DGGE gel.

Bacteria↗

Toward the bioremediation of dioxin-polluted soil: structural and functional analyses of in situ microbial populations by quinone profiling and culture-dependent methods.

In order to obtain basic information toward the bioremediation of dioxin-polluted soil, microbial communities in farmland soils polluted with high concentrations of polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) were studied by quinone profiling as well as conventional microbiological methods. The concentration of PCDD/Fs in the polluted soils ranged from 36 to 4,980 pg toxicity equivalent quality (TEQ) g(-1) dry weight of soil. There was an inverse relationship between the levels of PCDD/Fs and microbial biomass as measured by direct cell counting and quinone profiling. The most abundant quinone type detected was either MK-6 or Q-10. In addition, MK-8, MK-8(H2), and MK-9(H8) were detected in significant amounts. Numerical analysis of quinone profiles showed that the heavily polluted soils (> or = 1,430 pg TEQ g(-1)) contained different community structures from lightly polluted soils (< or = 56 pg TEQ g(-1)). Cultivation of the microbial populations in the heavily polluted soils with dibenzofuran or 2-chlorodibenzofuran resulted in enrichment of Q-10-containing bacteria. When the heavily polluted soil was incubated in static bottles with autoclaved compost as an organic nutrient additive, the concentrations of PCDD/Fs in the soil were decreased by 22% after 3 months of incubation. These results indicate that dioxin pollution exerted a significant effect on microbial populations in soil in terms of quantity, quality, and activity. The in situ microbial populations in the dioxin-polluted soil were suggested to have a potential for the transformation of PCDD/Fs and oxidative degradation of the lower chlorinated ones thus produced.

Biodegradation, Environmental↗

Water relations and photosynthesis in the cryptoendolithic microbial habitat of hot and cold deserts.

Two cryptoendolithic microbial communities, lichens in the Ross Desert of Antarctica and cyanobacteria in the Negev Desert, inhabit porous sandstone rocks of similar physical structure. Both rock types adsorb water vapor by physical mechanisms unrelated to biological processes. Yet the two microbial communities respond differently to water stress: cryptoendolithic lichens begin to photosynthesize at a matric water potential of -46.4 megaPascals (MPa) [70% relative humidity (RH) at 8 degrees C], resembling thallose desert lichens. Cryptoendolithic cyanobacteria, like other prokaryotes, photosynthesize only at very high matric water potentials [> -6.9 MPa, 90% RH at 20 degrees C].

Antarctic Regions↗

Structural and functional approach to studying pesticide side-effects on specific soil functions.

The microbial communities in the soil are responsible for material cycling and thus also for maintaining the fertility of agricultural soils. In order to assess pesticide side effects on the soil processes, detailed knowledge is required about the structure and function of the soil microflora. Therefore, the degradation and humification of 14C-labeled maize straw was studied in process-oriented microcosms. Apart from a native orthic luvisol, a heat-treated soil was used that has been freed from organic carbon by incineration at 600 degrees C. Microbial communities involved in the turnover of the crop residues were investigated using denaturing gradient gel electrophoresis (DGGE) of 16S rDNA sequences. Both 13C-nuclear magnetic resonance (NMR) spectroscopy and gel permeation chromatography were used to analyze humic acids produced in the microcosms. To evaluate the sensitivity of the microcosms, the influence of the fungicide dithianon was used in a case study at a concentration of 50 mg/kg. Microbial activity was reduced because of the application of the pesticide, especially in the native soils, while mineralization of 14C-labeled maize straw was only slightly affected. The buildup of fungal biomass was inhibited for at least three weeks. Despite these effects on the microbial communities, no significant differences in the humification products after 26 weeks of incubation were observed.

Anthraquinones↗

Bacterial community structure and physiological state in a biofilm reactor degrading 4-chloroaniline.

Degradation of 4-chloroaniline in the presence of aniline by a microbial community in a laboratory-scale biofilm reactor was evaluated. The starter inoculum was isolated and reconstructed from a percolating column enrichment of Indonesian agricultural soil. The capacity to mineralise and detoxify 4-chloroaniline in the presence of aniline was demonstrated by the biofilm reactor when operated at high hydraulic retention time (HRT; 0.87 h). At low HRT (0.23 h and 0.39 h) 4-chlorocatechol accumulated in the effluent, accompanied by a decrease in dechlorination and detoxification. When returned to high HRT (2.14 h), the accumulation of 4-chlorocatechol stopped and the extent of dechlorination and detoxification increased. Bacteria other than the original inoculum appeared in the reactor when the operating mode was switched from closed cycle to open cycle. One of these bacteria, identified as Pseudomonas putida R1 by partial 16S rDNA sequencing, subsequently dominated the reactor at every HRT imposed. PCR-based single-strand conformational polymorphism of 16 s rDNA and traditional cultivation procedures indicated that the bacterial composition in the reactor shifted in response to applied HRT. The relationship between the bacterial abundance and the degradation capacity of the reactor is discussed.

Aniline Compounds↗