Restoration of the ability to settle bulking sludge by bacterial seeding in wastewater treatment

An attempt to restore the settling ability of denatured bulking sludge was under-taken by changing the microflora in waste treatment tanks. A cell suspension of mixed cultures of ten strains of bacteria, which were isolated from normal activated sludge from night soil plants, and a type culture Zoogloea ramigera IAM1236 was seeded into a laboratory-scale aeration tank containing bulking sludge collected from municipal night soil or a food processing (bean curd production) waste treatment plant. The tank was fed with synthetic wastewater or industrial waste and aerated for 22 days. After 5 days, the microflora in the sludge changed remarkably with the seeding of the bacterial culture; filamentous organisms disappeared and active protozoa (Vorticella sp., Epistylis sp., and Lecane sp.) appeared. The sludge became compact and settled rapidly. The SV₃₀ of the sludge temporarily increased, but in the end decreased from 97 to 20%. The CODcr value decreased from 300 to 20 ppm. In the tank without seeding, the sludge contained almost filamentous organisms only which floated and finally decomposed. The effects were confirmed by applied tests in 700-ton scale and 100-ton scale aeration tanks of municipal night soil and a food processing waste treatment plant, respectively.     

Microbial composition of the activated sludge of Moscow wastewater treatment plants

The contribution of the major technologically important microbial groups (ammonium- and nitrite-oxidizing, phosphate-accumulating, foam-inducing, and anammox bacteria, as well as planctomycetes and methanogenic archaea) was characterized for the aeration tanks of the Moscow wastewater treatment facilities. FISH investigation revealed that aerobic sludge were eubacterial communities; the metabolically active archaea contributed insignificantly. Stage II nitrifying microorganisms and planctomycetes were significant constituents of the bacterial component of activated sludges, with Nitrobacter spp. being the dominant nitrifiers. No metabolically active anammox bacteria were revealed in the sludge from aeration tanks. The sludge from the aeration tanks using different wastewater treatment technologies were found to have differing characteristics. Abundance of the nitrifying and phosphate-accumulating bacteria in the sludge generally correlated with microbial activity in microcosms and with efficiency of nitrogen and phosphorus removal from wastewater. The highest microbial numbers and activity were found in the sludge of the tanks operating according to the technologies developed in the universities of Hannover and Cape Town. The activated sludge from the Novokur’yanovo facilities, where abundant growth of filamentous bacteria resulted in foam formation, exhibited the lowest activity. The group of foaming bacteria included Gordonia spp. and Acinetobacter spp utilizing petroleum and motor oils, Sphaerotilus spp. utilizing unsaturated fatty acids, and Candidatus ‘Microthrix parvicella’. Thus, the data on abundance and composition of metabolically active microorganisms obtained by FISH may be used for the technological control of wastewater treatment.     

用ERIC-PCR结合分子杂交监测焦化废水处理系统(A2/O)中微生物群落结构的变化

建立一种不依赖纯培养 ,可以在废水处理工业现场使用的监测微生物群落结构变化的分子技术。以处理焦化工业废水(A2 /O生物膜工艺 )不同构筑物中的悬浮污泥的微生物群落为研究对象 ,每周采样 1次 ,连续 4周。获得悬浮污泥总 DNA的ERIC- PCR指纹图谱 ,结合分子杂交进一步区分相同条带间的不同序列信息。结果表明 ,在缺氧池 (A2池 )和好氧池 (O池 )之间 ,各个采样点的 ERIC- PCR图谱差异不大 ,悬浮污泥在各构筑物之间交流充分 ;同一采样点的图谱在不同采样时期具有明显差异 ,显示了在此期间微生物群落的连续动态变化过程。通过对生物膜系统中悬浮污泥的微生物群落结构的指纹图谱分析 ,可开发出对该系统微生物群落结构动态变化进行检测的技术     

The Microbiota and Abundance of the Class 1 Integron-Integrase Gene in Tropical Sewage Treatment Plant Influent and Activated Sludge

Bacteria are assumed to efficiently remove organic pollutants from sewage in sewage treatment plants, where antibiotic-resistance genes can move between species via mobile genetic elements known as integrons. Nevertheless, few studies have addressed bacterial diversity and class 1 integron abundance in tropical sewage. Here, we describe the extant microbiota, using V6 tag sequencing, and quantify the class 1 integron-integrase gene (intI1) in raw sewage (RS) and activated sludge (AS). The analysis of 1,174,486 quality-filtered reads obtained from RS and AS samples revealed complex and distinct bacterial diversity in these samples. The RS sample, with 3,074 operational taxonomic units, exhibited the highest alpha-diversity indices. Among the 25 phyla, Proteobacteria, Bacteroidetes and Firmicutes represented 85% (AS) and 92% (RS) of all reads. Increased relative abundance of Micrococcales, Myxococcales, and Sphingobacteriales and reduced pathogen abundance were noted in AS. At the genus level, differences were observed for the dominant genera Simplicispira and Diaphorobacter (AS) as well as for Enhydrobacter (RS). The activated sludge process decreased (55%) the amount of bacteria harboring the intI1 gene in the RS sample. Altogether, our results emphasize the importance of biological treatment for diminishing pathogenic bacteria and those bearing the intI1 gene that arrive at a sewage treatment plant.     

454 Pyrosequencing reveals bacterial diversity of activated sludge from 14 sewage treatment plants

Activated sludge (AS) contains highly complex microbial communities. In this study, PCR-based 454 pyrosequencing was applied to investigate the bacterial communities of AS samples from 14 sewage treatment plants of Asia (mainland China, Hong Kong, and Singapore), and North America (Canada and the United States). A total of 259 K effective sequences of 16S rRNA gene V4 region were obtained from these AS samples. These sequences revealed huge amount of operational taxonomic units (OTUs) in AS, that is, 1183–3567 OTUs in a sludge sample, at 3% cutoff level and sequencing depth of 16 489 sequences. Clear geographical differences among the AS samples from Asia and North America were revealed by (1) cluster analyses based on abundances of OTUs or the genus/family/order assigned by Ribosomal Database Project (RDP) and (2) the principal coordinate analyses based on OTUs abundances, RDP taxa abundances and UniFrac of OTUs and their distances. In addition to certain unique bacterial populations in each AS sample, some genera were dominant, and core populations shared by multiple samples, including two commonly reported genera of Zoogloea and Dechloromonas, three genera not frequently reported (i.e., Prosthecobacter, Caldilinea and Tricoccus) and three genera not well described so far (i.e., Gp4 and Gp6 in Acidobacteria and Subdivision3 genera incertae sedis of Verrucomicrobia). Pyrosequencing analyses of multiple AS samples in this study also revealed the minority populations that are hard to be explored by traditional molecular methods and showed that a large proportion of sequences could not be assigned to taxonomic affiliations even at the phylum/class levels.     

TGGE分析焦化废水处理系统活性污泥细菌种群动态变化及多样性

应用TGGE指纹图谱技术对两个曝气池细菌种群的动态变化及多样性进行了研究。每3d进行1次,共8个监测时期中同一曝气池活性污泥的16SrDNAV3-PCRTGGE指纹图谱基本一致,图谱间的相似性系数(Cs)为100％。同一曝气池不同位点活性污泥的TGGE指纹图谱也完全一致。功能不同曝气池活性污泥TGGE指纹图谱存在差异,Cs为83．3％。对TJ1活性污泥TGGE图谱中9条主要条带回收、扩增、克隆建库,每个条带选4个转化子进行序列分析,结果显示TGGE条带是由序列不同的片段组成。32个序列在97％的相似性下分成16个分类操作单元(OTU),14个OTU与GenBank中已登录的细菌种群的同源性≥97％,2个OTU的同源性为95％和94％。与10个OTU同源性较高的细菌类群是在活性污泥或污染环境分离或发现的,与8个OTU相似的细菌类群目前尚无法分离培养。     

Phenol-mediated improved performance of active biomass for treatment of distillery wastewater

Activated sludge from a wastewater treatment plant consists of a consortium of microbes that utilize various organic molecules including persistent organic pollutants for their survival. Phenolic compounds and their derivatives along with dibenzofuran (DBF) are found as dominating pollutants in distillery waste. The acclimatization process leads to selective enrichment of the microbial community; and in this study, we report the acclimatizing effect of phenol on improving the treatment efficiency of two different distillery sludges—sludge from conventional aeration tanks (CAT), and from an extended aeration tank (EAT). The adaptation-dependent performance of activated biomass was studied by monitoring the increase in colony-forming units (CFUs) on mineral media and the utilization pattern for phenol (300×10³ and 530×10³ CFU for CAT and EAT sludge, respectively) and DBF (260×10³ and 430×10³ CFU for CAT and EAT sludge, respectively). The study showed that the acclimatization process remarkably improved the performance sludge for treatment of distillery wastewater. There was an improvement in chemical oxygen demand (COD) removal efficiency from 19% (unacclimatized sludge) to 31% in the case of acclimatized sludge (raw wastewater), which improved further to 82% and 87% with dilution of wastewater by 10 times (0.1×) and by 50 times (0.02×), respectively. Highest growth yields were observed with 0.1× wastewater (0.324 and 0.308 g g⁻¹ d⁻¹ for CAT and EAT sludges, respectively), while lower values are reported for the remaining two forms of wastewater. The study proposes that acclimatization step could be included as part of a treatment plant where the activated biomass could be intermittently metabolically charged by exposing it to selected molecules to increase treatment efficiency.     

Microbial diversity differences within aerobic granular sludge and activated sludge flocs

In this study, we investigated during 400 days the microbial community variations as observed from 16S DNA gene DGGE banding patterns from an aerobic granular sludge pilot plant as well as the from a full-scale activated sludge treatment plant in Epe, the Netherlands. Both plants obtained the same wastewater and had the same relative hydraulic variations and run stable over time. For the total bacterial population, a similarity analysis was conducted showing that the community composition of both sludge types was very dissimilar. Despite this difference, general bacterial population of both systems had on average comparable species richness, entropy, and evenness, suggesting that different bacteria were sharing the same functionality. Moreover, multi-dimensional scaling analysis revealed that the microbial populations of the flocculent sludge system moved closely around the initial population, whereas the bacterial population in the aerobic granular sludge moved away from its initial population representing a permanent change. In addition, the ammonium-oxidizing community of both sludge systems was studied in detail showing more unevenness than the general bacterial community. Nitrosomonas was the dominant AOB in flocculent sludge, whereas in granular sludge, Nitrosomonas and Nitrosospira were present in equal amounts. A correlation analysis of process data and microbial data from DGGE gels showed that the microbial diversity shift in ammonium-oxidizing bacteria clearly correlated with fluctuations in temperature.     

Effect of sewage sludge treatment and additional aerobic post-stabilization revealed by infrared spectroscopy and multivariate data analysis

Sewage sludge samples representing different stages during waste water and sewage sludge treatment were collected at four Austrian municipal waste water treatment plants. Changes of sludge composition are reflected by a specific infrared spectroscopic pattern. Anaerobically digested sludge was subjected to aeration in lab-scale reactors in order to find out if post-aeration after anaerobic digestion provides enhanced organic matter degradation and stabilization. Spectral data were evaluated by means of multivariate statistics. Similar spectral characteristics of sludge degradation stages were visualized by principal component analysis. The effect of additional aerobic treatment of anaerobically stabilized sludge was revealed by discriminant analysis that distinguishes additionally aerated sludge from all the other degradation stages of sludge because of changes in the spectral pattern by increasing stabilization. Based on partial least squares regression (PLSR) a correlation coefficient of R² = 0.91 was found between spectral characteristics and the chemical oxygen demand (COD).     

Evaluation of the environmental impact of microbial aerosols generated by wastewater treatment plants utilizing different aeration systems

Using three sampler devices (SAS, Andersen Six-Stages and All Glass Impinger), the environmental impact of bacterial and fungal aerosols generated by municipal wastewater treatment plants operating with different methods of sludge oxygenation were evaluated. The highest microbial concentrations were recovered above the tanks (2247 cfu m-3) and in downwind positions (1425 cfu m-3), where a linear correlation (P < 0.05) was found between the quantity of sewage treated and the entities of microbial aerosol dispersion. Moreover, an exponential increase (P < 0.05) in the bacteria recovered from the air occurred at increasing times of treatment. However, after long-term plant operation, high bacterial and fungal concentrations were found in almost all of the sites around the plant. Coliforms, enterococci, Escherichia coli and staphylococci were almost always recovered in downwind positions. Considerable fractions (20-40%) of sampled bacteria were able to penetrate the final stages of the Andersen apparatus and thus, are likely to be able to penetrate the lungs. The plant operating with a fine bubble diffused air system instead was found to generate rather low concentrations of bacteria and fungi; moreover, staphylococci and indicator micro-organisms were almost absent. Finally, salmonellae, Shigella, Pseudomonas aeruginosa and Aeromonas spp. were not detected in either of the plants. The results indicate a remarkable dispersion of airborne bacteria and fungi from tanks in which oxygen is supplied via a mechanical agitation of sludge, and suggest the need to convert them to diffused aeration systems which pose a lesser hazard for human health.     

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.     

Analysis of the structure of bacteria communities and detection of resistance genes of quinolones from pharmaceutical wastewater

The aim of the present study was to investigate the distribution of bacteria and detect the presence of quinolone resistance gene (qnrA) and integrons (intI1, intI2) in a habitat polluted by pharmaceutical sewage. The bacteria were isolated by nutrient agar and nutrient broth from waste water and sludge collected from the sewage outfall of a pharmaceutical factory. The bacteria were identified by Gram staining and biochemical tests, and the bacterial community diversity was analyzed by Shannon–Wiener diversity index (H), Pielou evenness index (J) and Simpson’s diversity index (D). The occurrence of qnrA and integrons (intI1, intI2) were detected by Real-time PCR assays. The results showed that 90 strains were isolated from water samples and sludge samples including 22 genera and 26 species. Types of bacteria in water samples contained 18 genera and 20 species, while 13 genera and 14 species were detected in sludge samples. Fifty-five Enterobacteriaceae isolates (61.11 %, 55 of 90) were the predominant bacteria in water and sludge samples. Bacterial species richness and evenness in water samples were higher than in sludge samples. The resistance genes of qnrA and integrons (intI1, intI2) with the total DNA and single isolate plasmid DNA were detected. There were a variety of bacterial species and the presence of qnrA and integrons (intI1, intI2) genes in pharmaceutical wastewater habitats, in which Enterobacteriaceae strains were the dominant bacteria. These results suggested that pharmaceutical wastewater had potential risks to public health.     

Modeling of activated sludge wastewater treatment processes

The performance of an activated sludge wastewater treatment process consisting of an aeration tank and a secondary settler has been studied. A tanks-in-series model with backflow was used for mathematical modeling of the activated sludge wastewater treatment process. Non-linear algebraic equations obtained from the material balances of MLSS (mixed liquor suspended solids or activated sludge), BOD (biological oxygen demand) and DO (dissolved oxygen) for the aeration tank and the settler and from the behavior of the settler were solved simultaneously using the modified Newton-Raphson technique. The concentration profiles of MLSS, BOD and DO in the aeration tank were obtained. The simulation results were examined from the viewpoints of mixing in the aeration tank and flow in the secondary settling tank. The relationships between the overall performance of the activated sludge process and the operating and design parameters such as hydraulic residence time, influent BOD, recycle ratio and waste sludge ratio were obtained.     

Microbial diversity from the continental shelf regions of the Eastern Arabian Sea: A metagenomic approach

The marine microbiome is a complex and least-understood habitat, which play a significant role in global biogeochemical cycles. The present study reported the culture-independent assessment of microbial diversity from the Arabian Sea (AS) sediments (from Gujarat to Malabar; at 30 m depth) by using metagenome sequence analysis. Our results elucidated that bacterial communities in the Malabar coastal region are highly diverse than the Gujarat coast. Moreover, Statistical analysis (Spearman rank correlation) showed a significant correlation co-efficient value (r = P < 0.001) between microbial communities and physicochemical parameters (salinity and dissolved oxygen) in the water column. A total of 39 bacterial phyla were recorded from the eastern side of AS, of which six phyla Proteobacteria, Bacteroidetes, Actinobacteria, Cyanobacteria, Firmicutes, and Planctomycetes were found to be the most dominant group. The most dominant genus from Valapad region (Malabar Coast) was found to be Halomonas sp., while other regions were dominated with Psychrobacter pulmonis. The subsequent Principal Coordinate Analysis (PCoA) showed 99.53% variance, which suggests that, highly distinct microbial communities at Valapad (Malabar Coast) sampling location than other sites. Moreover, the microbial metabolic activity analysis revealed the important functions of microbial communities in the AS are hydrocarbon degradation, polymer degradation, nutrient oxidation and sulphate reduction (biodegradation process). Further extended studies are needed to be carried out for better understanding the functional diversity of microbial communities from the marine sediments.     

Effect of azithromycin on enhancement of methane production from waste activated sludge

In the methane production from waste activated sludge (WAS), complex bacterial interactions in WAS have been known as a major contribution to methane production. Therefore, the influence of bacterial community changes toward methane production from WAS was investigated by an application of antibiotics as a simple means for it. In this study, azithromycin (Azm) as an antibiotic was mainly used to observe the effect on microbial changes that influence methane production from WAS. The results showed that at the end of fermentation, Azm enhanced methane production about twofold compared to control. Azm fostered the growth of acid-producing bacterial communities, which synthesized more precursors for methane formation. DGGE result showed that the hydrolysis as well as acetogenesis stage was improved by the dominant of B1, B2 and B3 strains, which are Clostridium species. In the presence of Azm, the total population of archaeal group was increased, resulting in higher methane productivity achievement.     

Microbial diversity in the anaerobic tank of a full-scale produced water treatment plant

Microbial characteristics in the anaerobic tank of a full-scale produced water treatment plant capable of anaerobic hydrocarbon removal were analyzed and compared to those in the influent produced water using cultivation-independent molecular methods. Clones related to methanogens including the methylotrophic Methanomethylovorans thermophila and hydrogen- and the formate-utilizing Methanolinea tarda were in abundance in both samples, but greater numbers of M. tarda-like clones were detected in the biofilm library. Both DGGE and cloning analysis results indicated that the archaea in the biofilm were derived from the influent produced water. Bacterial communities in the influent and biofilm samples were significantly different. Epsilonproteobacteria was the dominant bacterial group in the influent while Nitrospira and Deltaproteobacteria were the predominant groups in the biofilm. Many clones related to syntrophic bacteria were found among the Deltaproteobacteria. One Deltaproteobacteria clone was related to Syntrophus, which is commonly found in methanogenic hydrocarbon-degrading consortia. A number of Deltaproteobacteria clones were assigned to the clone cluster group TA, members of which predominate in various methanogenic consortia that degrade aromatic compounds. These results suggest that a microbial community associated with methanogenic hydrocarbon degradation may have been established in the biofilm.     

Dynamics of the composition of a microbial consortium during start-up of a single-stage constant flow laboratory nitritation/anammox setup

Dynamics of the composition of the microbial community was studied during start-up of a single-stage completely mixed constant flow laboratory setup for ammonium removal by the nitritation/anammox process from the filtrate of digested sludge of the Kuryanovo wastewater treatment plant (KWTP), Moscow. To decrease the period of the start-up, the setup was initially inoculated with two types of activated sludge (nitrifying sludge from a KWTP aeration tank and sludge from a sequencing batch reactor enriched with anammox bacteria). The start-up and adjustment stage was therefore decreased to 35–40 days, and nitrogen removal efficiency reached 80% after 120 days of the setup operation. Taxonomic analysis of the composition of the microbial community was carried out by pyrosequencing of the 16S rRNA fragments obtained using the universal and planctomycetes-specific primers. In the course of adaptation of activated sludge to increasing nitrogen load, microbial community of the setup became less diverse and more specialized. The contribution of anammox bacteria of the family Brocadiaceae, closely related to Candidatus “Brocadia caroliniensis,” increased gradually. Members of the order Nitrosomonadales were involved in ammonium oxidation to nitrite. While nitrite-oxidizing bacteria of the genus Nitrospira were also detected, their share decreased with accumulation of the activated sludge. The contribution of other bacteria varied as well: the shares of the phyla Ignavibacteria, Chloroflexi, and Acidobacteria increased significantly (up to 13, 12, and 10%, respectively of the total number of reads), while relative abundance of the Proteobacteria, Bacteroidetes, Actinobacteria, Firmicutes, Synergistetes, Aminicenantes, Thermotogae, and Cloacimonetes decreased. Thus, application of pyrosequencing made it possible to monitor succession of the bacterial community involved in nitrogen removal by nitritation/anammox process.     

Microbial biogeography across a full-scale wastewater treatment plant transect: evidence for immigration between coupled processes

Wastewater treatment plants use a variety of bioreactor types and configurations to remove organic matter and nutrients. Little is known regarding the effects of different configurations and within-plant immigration on microbial community dynamics. Previously, we found that the structure of ammonia-oxidizing bacterial (AOB) communities in a full-scale dispersed growth activated sludge bioreactor correlated strongly with levels of NO₂ ^? entering the reactor from an upstream trickling filter. Here, to further examine this puzzling association, we profile within-plant microbial biogeography (spatial variation) and test the hypothesis that substantial microbial immigration occurs along a transect (raw influent, trickling filter biofilm, trickling filter effluent, and activated sludge) at the same full-scale wastewater treatment plant. AOB amoA gene abundance increased >30-fold between influent and trickling filter effluent concomitant with NO₂ ^? production, indicating unexpected growth and activity of AOB within the trickling filter. Nitrosomonas europaea was the dominant AOB phylotype in trickling filter biofilm and effluent, while a distinct “Nitrosomonas-like” lineage dominated in activated sludge. Prior time series indicated that this “Nitrosomonas-like” lineage was dominant when NO₂ ^? levels in the trickling filter effluent (i.e., activated sludge influent) were low, while N. europaea became dominant in the activated sludge when NO₂ ^? levels were high. This is consistent with the hypothesis that NO₂ ^? production may cooccur with biofilm sloughing, releasing N. europaea from the trickling filter into the activated sludge bioreactor. Phylogenetic microarray (PhyloChip) analyses revealed significant spatial variation in taxonomic diversity, including a large excess of methanogens in the trickling filter relative to activated sludge and attenuation of Enterobacteriaceae across the transect, and demonstrated transport of a highly diverse microbial community via the trickling filter effluent to the activated sludge bioreactor. Our results provide compelling evidence that substantial immigration between coupled process units occurs and may exert significant influence over microbial community dynamics within staged bioreactors.     

Modeling of recycling oxic and anoxic treatment system for swine wastewater using neural networks

A recycling reactor system operated under sequential anoxic and oxic conditions for the treatment of swine wastewater has been developed, in which piggery slurry is fermentatively and aerobically treated and then part of the effluent is recycled to the pigsty. This system significantly removes offensive smells (at both the pigsty and the treatment plant), BOD and others, and may be cost effective for small-scale farms. The most dominant heterotrophic were, in order,Alcaligenes faecalis, Brevundimonas diminuta andStreptococcus sp., while lactic acid bacteria were dominantly observed in the anoxic tank. We propose a novel monitoring system for a recycling piggery slurry treatment system through the use of neural networks. In this study, we tried to model the treatment process for each tank in the system (influent, fermentation, aeration, first sedimentation and fourth sedimentation tanks) based upon the population densities of the heterotrophic and lactic acid bacteria. Principal component analysis (PCA) was first applied to identify a relationship between input and output. The input would be microbial densities and the treatment parameters, such as population densities of heterotrophic and lactic acid bacteria, suspended solids (SS), COD, NH₄ ⁺-N, or-tho-phosphorus (o-P), and total-phosphorus (T-P). Then multi-layer neural networks were employed to model the treatment process for each tank. PCA filtration of the input data as microbial densities was found to facilitate the modeling procedure for the system monitoring even with a relatively lower number of input. Neural networks independently trained for each treatment tank and their subsequent combined data analysis allowed a successful prediction of the treatment system for at least two days.     

Identifying Host Sources of Fecal Pollution: Diversity of Escherichia coli in Confined Dairy and Swine Production Systems

Repetitive extragenic palindromic PCR fingerprinting of Escherichia coli is one microbial source tracking approach for identifying the host source origin of fecal pollution in aquatic systems. The construction of robust known-source libraries is expensive and requires an informed sampling strategy. In many types of farming systems, waste is stored for several months before being released into the environment. In this study we analyzed, by means of repetitive extragenic palindromic PCR using the enterobacterial repetitive intergenic consensus primers and comparative analysis using the Bionumerics software, collections of E. coli obtained from a dairy farm and from a swine farm, both of which stored their waste as a slurry in holding tanks. In all fecal samples, obtained from either barns or holding tanks, the diversity of the E. coli populations was underrepresented by collections of 500 isolates. In both the dairy and the swine farms, the diversity of the E.coli community was greater in the manure holding tank than in the barn, when they were sampled on the same date. In both farms, a comparison of stored manure samples collected several months apart suggested that the community composition changed substantially in terms of the detected number, absolute identity, and relative abundance of genotypes. Comparison of E. coli populations obtained from 10 different locations in either holding tank suggested that spatial variability in the E. coli community should be accounted for when sampling. Overall, the diversity in E. coli populations in manure slurry storage facilities is significant and likely is problematic with respect to library construction for microbial source tracking applications.