Impact of Intensive Land-Based Fish Culture in Qingdao, China, on the Bacterial Communities in Surrounding Marine Waters and Sediments

The impact of intensive land-based fish culture in Qingdao, China, on the bacterial communities in surrounding marine environment was analyzed. Culture-based studies showed that the highest counts of heterotrophic, ammonium-oxidizing, nitrifying, and nitrate-reducing bacteria were found in fish ponds and the effluent channel, with lower counts in the adjacent marine area and the lowest counts in the samples taken from 500 m off the effluent channel. Denaturing gradient gel electrophoresis (DGGE) analysis was used to assess total bacterial diversity. Fewer bands were observed from the samples taken from near the effluent channel compared with more distant sediment samples, suggesting that excess nutrients from the aquaculture facility may be reducing the diversity of bacterial communities in nearby sediments. Phylogenetic analysis of the sequenced DGGE bands indicated that the bacteria community of fish-culture-associated environments was mainly composed of Flavobacteriaceae, gamma- and deltaproteobacteria, including genera Gelidibacter, Psychroserpen, Lacinutrix, and Croceimarina

Polyphasic examination of microbial communities in soils contaminated with organic pollutants

A polyphasic approach was used to examine the impact of contamination on soil microbial community structure. Two systems were examined using a combined biochemical and molecular biological approach. Petroleum hydrocarbon contaminated soils from two Northern Canadian sites, representing long-term contamination, were examined using Biolog GN plates and PCR-denaturing gradient gel electrophoresis (DGGE) analysis of total community 16S rDNA. Results obtained using both methods demonstrated a positive correlation between samples that was based on the geographical origin of the samples, not on contamination level. In the second system, non-contaminated soil was contaminated with the explosive hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) to monitor the effect of short- to medium-term contamination. Changes in the soil microbial community were examined using PCR-DGGE of total community 16S rDNA combined with RDX mineralization and chemical analysis of intermediates. The non-contaminated loam soil had an inherent RDX degradative capability and contamination of soil columns with 1000 mg RDX/kg soil did not significantly change the 16S rDNA bacterial community profile. The bacterial diversity remained high as estimated by the number of bands present in the DGGE and by NQ-78704 statistical rarefaction analysis of 16S rDNA clone RFLPs. The same soil, used in 10% soil slurries (w/v), demonstrated two apparently different RDX degradation mechanisms based on mineralization and chemical analysis. The differences were based on aerobic versus anaerobic conditions and the presence/absence of Na3 citrate. PCR-DGGE performed on 16S rDNA from aerobic slurries amended with Na3-citrate detected the stimulation of 3 operational taxonomic units, identified as Stenotrophomonas sp., Sphingomonas sp. and a member of the Alcaligenaceae. The results from the two systems examined (short- to medium-term and long-term contamination) demonstrated the utility of a polyphasic approach in the examin

Characterization of two novel yeast strains used in mediated biosensors for wastewater

After isolation from a pulp mill wastewater treatment facility, two yeast strains, designated SPT1 and SPT2, were characterized and used in the development of mediated biochemical oxygen demand (BOD) biosensors for wastewater. 18S rRNA gene sequence analysis revealed a one nucleotide difference between the sequence of SPT1 and those of Candida sojae and Candida viswanthii. While SPT2 had the highest overall homology to Pichia norvegensis, at only 73.5%, it is clearly an ascomycete, based on BLAST comparisons and phylogenetic analyses. Neighbor-joining dendrograms indicated that SPT1 clustered with several Candida spp., and that SPT2 clustered with Starmera spp., albeit as a very deep branch. Physiological tests, microscopic observations, and fatty acid analysis confirmed that SPT1 and SPT2 are novel yeast strains. Physiological tests also indicated that both strains had potential for use in mediated biosensors for estimation of BOD in wastewater. The lower detection limits of SPT1- and SPT2-based K3Fe(CN)6-mediated biosensors for a pulp-mill effluent were 2 and 1 mg BOD/L, respectively. Biosensor-response times for effluents from eight different pulp mills were in the range of 5 min. Reliability and sensitivity of the SPT1- and SPT2-based biosensors were good, but varied with the wastewater.NRC publication: Ye

Nested PCR protocol for the rapid detection of Escherichia coli in potable water

A rapid and sensitive method for the detection of low levels of bacteria in potable water was developed. The fecal indicator bacterium Escherichia coli was used as the test organism in a filtration concentration-nested polymerase chain reaction (PCR) protocol, combined with ethidium bromide visualization of PCR products. Two sets of primers were designed from the E. coli specific \u3b2-glucuronidase gene (uidA), the primary pair producing a 486-bp fragment that was used as template for the nested primer pair delineating a 186-bp fragment. This protocol can detect 1-10 bacterial cells/50 mL water sample within 6-8 h, in contrast to traditional culturing or Southern hybridization methods which require 2-3 days for results.Une m\ue9thode rapide et sensible de d\ue9tection des bact\ue9ries pr\ue9sentes en faible quantit\ue9 dans l'eau potable a \ue9t\ue9 d\ue9velopp\ue9e. Escherichia coli, une bact\ue9rie indicatrice de contamination f\ue9cale, a \ue9t\ue9 utilis\ue9e comme organisme t\ue9moin dans le pr\ue9sent protocole de concentration de l'\ue9chantillon de l'eau par filtration, suivi d'une r\ue9action en cha\ueene catalys\ue9e par polym\ue9ase (PCR) \ue0 l'aide d'amorces imbriqu\ue9es dont les produits ont \ue9t\ue9 visualis\ue9s par coloration au bromure d'\ue9thidium. Deux s\ue9ries d'amorces ont \ue9t\ue9 con\ue7ues \ue0 partir du g\ue8ne \u3b2-glucuronidase (uidA) sp\ue9cifique \ue0 E. coli, la premi\ue8re paire d'amorces produisant un fragment de 486 pb utilis\ue9 comme matrice pour la deuxi\ue8me s\ue9rie d'amorces imbriqu\ue9es d\ue9limitant un fragment de 186 pb. Cette technique permet de d\ue9tector d 1-10 cellules/50mL d'\ue9chantillon d'eau entre 6 \ue0 8 h. Cette technique est donc beaucoup plus rapide que les m\ue9thodes traditionnelles de cuture bact\ue9rienne ou d'hybridation Souther qui requi\ue8rent de 2 \ue0 3 jours avant d'obtenir des r\ue9sultats.NRC publication: Ye

Characterization of two novel yeast strains used in mediated biosensors for wastewater

After isolation from a pulp mill wastewater treatment facility, two yeast strains, designated SPT1 and SPT2, were characterized and used in the development of mediated biochemical oxygen demand (BOD) biosensors for wastewater. 18S rRNA gene sequence analysis revealed a one nucleotide difference between the sequence of SPT1 and those of Candida sojae and Candida viswanthii. While SPT2 had the highest overall homology to Pichia norvegensis, at only 73.5%, it is clearly an ascomycete, based on BLAST comparisons and phylogenetic analyses. Neighbor-joining dendrograms indicated that SPT1 clustered with several Candida spp., and that SPT2 clustered with Starmera spp., albeit as a very deep branch. Physiological tests, microscopic observations, and fatty acid analysis confirmed that SPT1 and SPT2 are novel yeast strains. Physiological tests also indicated that both strains had potential for use in mediated biosensors for estimation of BOD in wastewater. The lower detection limits of SPT1- and SPT2-based K3Fe(CN)6-mediated biosensors for a pulp-mill effluent were 2 and 1 mg BOD/L, respectively. Biosensor-response times for effluents from eight different pulp mills were in the range of 5 min. Reliability and sensitivity of the SPT1- and SPT2-based biosensors were good, but varied with the wastewater.NRC publication: Ye

Predictable bacterial composition and hydrocarbon degradation in Arctic soils following diesel and nutrient disturbance

Increased exploration and exploitation of resources in the Arctic is leading to a higher risk of petroleum contamination. A number of Arctic microorganisms can use petroleum for growth-supporting carbon and energy, but traditional approaches for stimulating these microorganisms (for example, nutrient addition) have varied in effectiveness between sites. Consistent environmental controls on microbial community response to disturbance from petroleum contaminants and nutrient amendments across Arctic soils have not been identified, nor is it known whether specific taxa are universally associated with efficient bioremediation. In this study, we contaminated 18 Arctic soils with diesel and treated subsamples of each with monoammonium phosphate (MAP), which has successfully stimulated degradation in some contaminated Arctic soils. Bacterial community composition of uncontaminated, diesel-contaminated and diesel+MAP soils was assessed through multiplexed 16S (ribosomal RNA) rRNA gene sequencing on an Ion Torrent Personal Genome Machine, while hydrocarbon degradation was measured by gas chromatography analysis. Diversity of 16S rRNA gene sequences was reduced by diesel, and more so by the combination of diesel and MAP. Actinobacteria dominated uncontaminated soils with 10 percent organic matter, while Proteobacteria dominated higher-organic matter soils, and this pattern was exaggerated following disturbance. Degradation with and without MAP was predictable by initial bacterial diversity and the abundance of specific assemblages of Betaproteobacteria, respectively. High Betaproteobacteria abundance was positively correlated with high diesel degradation in MAP-treated soils, suggesting this may be an important group to stimulate. The predictability with which bacterial communities respond to these disturbances suggests that costly and time-consuming contaminated site assessments may not be necessary in the future.Peer reviewed: YesNRC publication: Ye

Microarray and Real-Time PCR Analyses of the Responses of High-Arctic Soil Bacteria to Hydrocarbon Pollution and Bioremediation Treatments▿

High-Arctic soils have low nutrient availability, low moisture content, and very low temperatures and, as such, they pose a particular problem in terms of hydrocarbon bioremediation. An in-depth knowledge of the microbiology involved in this process is likely to be crucial to understand and optimize the factors most influencing bioremediation. Here, we compared two distinct large-scale field bioremediation experiments, located at the Canadian high-Arctic stations of Alert (ex situ approach) and Eureka (in situ approach). Bacterial community structure and function were assessed using microarrays targeting the 16S rRNA genes of bacteria found in cold environments and hydrocarbon degradation genes as well as quantitative reverse transcriptase PCR targeting key functional genes. The results indicated a large difference between sampling sites in terms of both soil microbiology and decontamination rates. A rapid reorganization of the bacterial community structure and functional potential as well as rapid increases in the expression of alkane monooxygenases and polyaromatic hydrocarbon-ring-hydroxylating dioxygenases were observed 1 month after the bioremediation treatment commenced in the Alert soils. In contrast, no clear changes in community structure were observed in Eureka soils, while key gene expression increased after a relatively long lag period (1 year). Such discrepancies are likely caused by differences in bioremediation treatments (i.e., ex situ versus in situ), weathering of the hydrocarbons, indigenous microbial communities, and environmental factors such as soil humidity and temperature. In addition, this study demonstrates the value of molecular tools for the monitoring of polar bacteria and their associated functions during bioremediation