Fatty acid methyl ester (FAME) profiles as measures of soil microbial community structure

Analysis of fatty acid methyl ester (FAME) profiles extracted from soils is a rapid and inexpensive procedure that holds great promise in describing soil microbial community structure without traditional reliance on selective culturing, which seems to severely underestimate community diversity. Interpretation of FAME profiles from environmental samples can be difficult because many fatty acids are common to different microorganisms and many fatty acids are extracted from each soil sample. We used principal components (PCA) and cluster analyses to identify similarities and differences among soil microbial communities described using FAME profiles. We also used PCA to identify particular FAMEs that characterized soil sample clusters. Fatty acids that are found only or primarily in particular microbial taxa-marker fatty acids-were used in conjunction with these analyses. We found that the majority of 162 soil samples taken from a conventionally-tilled corn field had similar FAME profiles but that about 20% of samples seemed to have relatively low, and that about 10% had relatively high, bacterial:fungal ratios. Using semivariance analysis we identified 21:0 iso as a new marker fatty acid. Concurrent use of geostatistical and FAME analyses may be a powerful means of revealing other potential marker FAMEs. When microbial communities from the same samples were cultured on R2A agar and their FAME profiles analyzed, there were many differences between FAME profiles of soil and plated communities, indicating that profiles of FAMEs extracted from soil reveal portions of the microbial community not culturable on R2A. When subjected to PCA, however, a small number of plated communities were found to be distinct due to some of the same profile characteristics (high in 12:0 iso, 15:0 and 17:1 ante A) that identified soil community FAME profiles as distinct. Semivariance analysis indicated that spatial distributions of soil microbial populations are maintained in a portion of the microbial community that is selected on laboratory media. These similarities between whole soil and plated community FAME profiles suggest that plated communities are not solely the result of selection by the growth medium, but reflect the distribution, in situ, of the dominant, culturable soil microbial populations.     

Accuracy, Reproducibility, and Interpretation of Fatty Acid Methyl Ester Profiles of Model Bacterial Communities

We determined the accuracy and reproducibility of whole-community fatty acid methyl ester (FAME) analysis with two model bacterial communities differing in composition by using the Microbial ID, Inc. (MIDI), system. The biomass, taxonomic structure, and expected MIDI-FAME profiles under a variety of environmental conditions were known for these model communities a priori. Not all members of each community could be detected in the composite profile because of lack of fatty acid “signatures” in some isolates or because of variations (approximately fivefold) in fatty acid yield across taxa. MIDI-FAME profiles of replicate subsamples of a given community were similar in terms of fatty acid yield per unit of community dry weight and relative proportions of specific fatty acids. Principal-components analysis (PCA) of MIDI-FAME profiles resulted in a clear separation of the two different communities and a clustering of replicates of each community from two separate experiments on the first PCA axis. The first PCA axis accounted for 57.1% of the variance in the data and was correlated with fatty acids that varied significantly between communities and reflected the underlying community taxonomic structure. On the basis of our data, community fatty acid profiles can be used to assess the relative similarities and differences of microbial communities that differ in taxonomic composition. However, detailed interpretation of community fatty acid profiles in terms of biomass or community taxonomic composition must be viewed with caution until our knowledge of the quantitative and qualitative distribution of fatty acids over a wide variety of taxa and the effects of growth conditions on fatty acid profiles is more extensive.     

Extraction and Analysis of Microbial Phospholipid Fatty Acids in Soils

Phospholipid fatty acids (PLFAs) are key components of microbial cell membranes. The analysis of PLFAs extracted from soils can provide information about the overall structure of terrestrial microbial communities. PLFA profiling has been extensively used in a range of ecosystems as a biological index of overall soil quality, and as a quantitative indicator of soil response to land management and other environmental stressors.The standard method presented here outlines four key steps: 1. lipid extraction from soil samples with a single-phase chloroform mixture, 2. fractionation using solid phase extraction columns to isolate phospholipids from other extracted lipids, 3. methanolysis of phospholipids to produce fatty acid methyl esters (FAMEs), and 4. FAME analysis by capillary gas chromatography using a flame ionization detector (GC-FID). Two standards are used, including 1,2-dinonadecanoyl-sn-glycero-3-phosphocholine (PC(19:0/19:0)) to assess the overall recovery of the extraction method, and methyl decanoate (MeC10:0) as an internal standard (ISTD) for the GC analysis.     

Fatty acid methyl ester (FAME) profiles as a tool to investigate community structure of two agricultural soils

Soil microbiological parameters may be the earliest predictors of soil quality changes. Recently, molecular techniques such as fatty acid methyl ester (FAME) profiles have been used to characterize soil microbial communities. Fatty acid methyl ester (FAME) from whole soil may be derived from live cells, dead cells, humic materials, as well as plant and root exudates. Our objective was to verify differences in FAME profiles from two agricultural soils with different plants. Soil samples were collected from Ritzville and Palouse silt loams for fatty acid analysis. Soil samples from wheat (Triticum aestivum L.), barley (Hordeum vulgare L.), pea (Pisum sativum L.), jointed goatgrass ( Aegilops cylindrica L.) and downy brome (Bromus tectorum L.) rhizospheres were also collected for fatty acid analysis. Principal component analysis (PCA) of the two soils explained 42% of the variance on PC1, which accounted for Palouse soil. Ritzville soil accounted for 19% of the variance on PC2. Factor analysis showed that rhizosphere microbial communities from various plant species may differ depending on the plant species. Presence of Gram-positive bacteria as identified by a15:0, i15:0, a17:0 and i17:0 peaks were similar between rhizosphere and nonrhizosphere soils. Gram-negative bacteria characterized by short chain hydroxy acids (10:03OH and 12:03OH) as well as cyclopropane acids (cy17:0) were higher in rhizosphere soil than nonrhizosphere. This indicates a possible shift in the bacterial community to more Gram-negative bacteria and fewer Gram-positive bacteria in the rhizospheres of the plants species studied.     

Chemotaxonomic characterization of rice seedling blight complex using fatty acid methyl ester (FAME) profiles

Rice seedling blight is an important disease caused by a complex of fungi that include Fusarium, Rhizopus, Pythium, and Trichoderma species. A modified MIDI method was used for extraction of fatty acids from these causal pathogens, and fatty acid methyl ester (FAME) profiles were characterized. Factors that might affect fatty acid production, such as period of culture and saponification in extraction, were also evaluated. A total of 14 fatty acids were detected, and FAME profiles showed quantitative and qualitative variations by discriminant analysis and principal component analysis. Genus-specific FAME profiles consisting of the types of fatty acid produced and remarkable components of individual fatty acids were observed. The possibility of application as chemotaxonomic methods based on the FAME profiles for diagnosis of the rice seedling blight complex is also discussed.     

The use of fatty acid methyl esters as biomarkers to determine aerobic, facultatively aerobic and anaerobic communities in wastewater treatment systems

The use of fatty acid methyl esters (FAME) as biomarkers to identify groups of microorganisms was studied. A database was constructed using previously published results that identify FAME biomarkers for aerobic, anaerobic and facultatively aerobic bacteria. FAME profiles obtained from pure cultures were utilized to confirm the predicted presence of biomarkers. Principal component analysis demonstrated that the FAME profiles can be used to determine the incidence of these bacterial groups. The presence of aerobic, anaerobic and facultatively aerobic bacteria in the communities, in four bioreactors being used to treat different wastewaters, was investigated by applying FAME biomarkers.     

Measuring soil microbial community diversity using polar lipid fatty acid and denaturing gradient gel electrophoresis data

The possibility of calculating useful microbial community diversity indices from environmental polar lipid fatty acid and 16S rDNA PCR-DGGE data was investigated. First, the behavior of the species richness, Shannon's, and Simpson's diversity indices were determined on polar lipid fatty acid profiles of 115 pure cultures, communities constructed from those profiles with different numbers of species, and constructed communities with different distributions of species. Differences in the species richness of these artificial communities was detected by all three diversity indices, but they were insensitive to the evenness of the distribution of species. Second, data from a field experiment with substrate addition to soil was used to compare the methods developed for lipid- and DNA-based diversity indices. Very good agreement was found between indices calculated from environmental polar lipid fatty acid profiles and denaturing gradient gel electrophoresis profiles from matched samples (Pearson's correlation coefficient r=0.95-0.96). A method for data pre-treatment for diversity calculations is described.     

Variables Influencing Extraction of Nucleic Acids from Microbial Plankton (Viruses,Bacteria, and Protists) Collected on Nanoporous Aluminum Oxide Filters

Anodic aluminum oxide (AAO) filters have high porosity and can be manufactured with a pore size that is small enough to quantitatively capture viruses. These properties make the filters potentially useful for harvesting total microbial communities from water samples for molecular analyses, but their performance for nucleic acid extraction has not been systematically or quantitatively evaluated. In this study, we characterized the flux of water through commercially produced nanoporous (0.02 μm) AAO filters (Anotop; Whatman) and used isolates (a virus, a bacterium, and a protist) and natural seawater samples to test variables that we expected would influence the efficiency with which nucleic acids are recovered from the filters. Extraction chemistry had a significant effect on DNA yield, and back flushing the filters during extraction was found to improve yields of high-molecular-weight DNA. Using the back-flush protocol, the mass of DNA recovered from microorganisms collected on AAO filters was ≥100% of that extracted from pellets of cells and viruses and 94% ± 9% of that obtained by direct extraction of a liquid bacterial culture. The latter is a minimum estimate of the relative recovery of microbial DNA, since liquid cultures include dissolved nucleic acids that are retained inefficiently by the filter. In conclusion, we demonstrate that nucleic acids can be extracted from microorganisms on AAO filters with an efficiency similar to that achievable by direct extraction of microbes in suspension or in pellets. These filters are therefore a convenient means by which to harvest total microbial communities from multiple aqueous samples in parallel for subsequent molecular analyses.     

Characterization of Armillaria spp. from peach orchards in the southeastern United States using fatty acid methyl ester profiling

Limited information is available regarding the composition of cellular fatty acids in Armillaria and the extent to which fatty acid profiles can be used to characterize species in this genus. Fatty acid methyl ester (FAME) profiles generated from cultures of A. tabescens, A. mellea, and A. gallica consisted of 16–18 fatty acids ranging from 12–24 carbons in length, although some of these were present only in trace amounts. Across the three species, 9-cis,12-cis-octadecadienoic acid (9,12-C18:2), hexadecanoic acid (16:0), heneicosanoic acid (21:0), 9-cis-octadecenoic acid (9-C18:1), and 2-hydroxy-docosanoic acid (OH-22:0) were the most abundant fatty acids. FAME profiles from different thallus morphologies (mycelium, sclerotial crust, or rhizomorphs) displayed by cultures of A. gallica showed that thallus type had no significant effect on cellular fatty acid composition (P > 0.05), suggesting that FAME profiling is sufficiently robust for species differentiation despite potential differences in thallus morphology within and among species. The three Armillaria species included in this study could be distinguished from other lignicolous basidiomycete species commonly occurring on peach (Schizophyllum commune, Ganoderma lucidum, Stereum hirsutum, and Trametes versicolor) on the basis of FAME profiles using stepwise discriminant analysis (average squared canonical correlation = 0.953), whereby 9-C18:1, 9,12-C18:2, and 10-cis-hexadecenoic acid (10-C16:1) were the three strongest contributors. In a separate stepwise discriminant analysis, A. tabescens, A. mellea, and A. gallica were separated from one another based on their fatty acid profiles (average squared canonical correlation = 0.924), with 11-cis-octadecenoic acid (11-C18:1), 9-C18:1, and 2-hydroxy-hexadecanoic acid (OH-16:0) being most important for species separation. When fatty acids were extracted directly from mycelium dissected from naturally infected host tissue, the FAME-based discriminant functions developed in the preceding experiments classified all samples (n = 16) as A. tabescens; when applied to cultures derived from the same naturally infected samples, all unknowns were similarly classified as A. tabescens. Thus, FAME species classification of Armillaria unknowns directly from infected tissues may be feasible. Species designation of unknown Armillaria cultures by FAME analysis was identical to that indicated by IGS-RFLP classification with AluI.     

Fatty Acid Methyl Ester Profiles for Characterization of Glomalean Fungi and Their Endomycorrhizae

Arbuscule-forming fungi in the order Glomales form obligate endomycorrhizal associations with plants that make them difficult to quantify, and taxonomy of the group is only beginning to be objectively understood. Fatty acid methyl ester (FAME) profiles were analyzed to assess the diversity and quantity of fatty acids in 53 isolates of 24 glomalean species. Spores and endomycorrhizal roots of sudan grass (Sorghum sudanense) and the citrus rootstock Carrizo citrange (Poncirus trifoliata x Citrus sinensis) were examined. Spores yielded reproducible FAME profiles from replicate spore collections extracted from soil pot cultures despite being grown in association with a host plant and with contaminating microorganisms present. Unweighted pair group analysis revealed relatively tight clusters of groups at the intraspecific, specific, and generic levels; however, lipid profiles at the family level were convergent. Thus, FAME profile comparisons provided a robust measure of similarity below the family level. FAME profiles in sudan grass roots containing vesicles and/or spores of Glomus intraradices were more similar to spore profiles than to profiles from nonmycorrhizal roots. The FAME profiles for Gigaspora species, which do not form vesicles or spores in roots, were less distinct from nonmycorrhizal roots. G. intraradices and G. rosea produced fatty acids in roots that were distinguishable from each other as well as from the host root. Production in citrus roots of the fatty acid 16:1(inf(omega)5) cis by two Glomus species was correlated with the development of mycorrhizal colonization as measured by clearing and staining procedures and by estimates of total incidence and vesicle intensity. FAME analysis of roots not only provided a measure of colonization development but also served as an index of carbon allocated to intraradical fungal growth and lipid storage.     

Pyrene and Phenanthrene Influence on Soil Microbial Populations

Two studies were conducted to evaluate microbial populations in polycyclic aromatic hydrocarbon-contaminated soil. Captina silt loam was freshly exposed to (1) 0 or 2000 mg pyrene/kg and sampled after 10- and 61-wk incubation and (2) 0 or 505 mg pyrene + 445 mg phenanthrene/kg and sampled after a 21-wk incubation. Microbial numbers were determined by plate-count techniques. Isolated bacteria, selected degraders, and wholesoil extracts were analyzed by fatty acid methyl ester analysis (FAME). In the pyrene experiment, pyrene did not affect total bacterial or fungal numbers, but pyrene degraders increased from undetectable levels to 7.09 log₁₀ degraders/g in the contaminated soil. The FAME analysis of bacterial isolates detected no pyrene effect, but wholesoil FAME indicated an increase in the contaminated soil of a fatty acid characteristic of protozoa and a major fatty acid detected in isolated degraders. In the pyrene + phenanthrene experiment, the contaminants had no impact on bacterial, fungal, or actinomycete numbers but increased degrader numbers. No effect of pyrene + phenanthrene was detected by isolate FAME, but whole-soil FAME indicated an effect similar to that in the pyrene experiment. The results indicate that pyrene, although not impacting microbial numbers, may have altered the soil microbial composition and that Captina silt loam can develop an effective degrader population under tested conditions.     

Microbial Biomass, Activity, and Community Structure of Water and Particulates Retrieved by Backflow from a Waterflood Injection Well

Oil field injection water was allowed to back flow from two wells at the Packard drill site in Los Angeles, Calif., and was sampled at various times to obtain information about the biomass, potential activity, and community structure of the microbiota in the reservoir formation and in the injection water. Biomass was greatest in water samples that came from the zone near the injection site and dropped off sharply in subsequent samples, which were assumed to come from zones farther away from the well. Samples obtained from near the well also had visible exopolysaccharide blankets, as seen in scanning electron microscopic preparations. In one of the wells that was sampled, rates of glucose or acetate incorporation into microbial lipids correlated with biomass; but in the other well, activities correlated with the sampling time (volume of water that back flowed). Transmission electron micrographs showed a diverse, gram-negative bacterial population in a variety of physiological states. The analysis of the phospholipid ester-linked fatty acid profiles of the samples revealed consistently large proportions of 18:1ω7c fatty acids, indicating the presence of many anaerobes, facultative organisms, or both. Proportions of cyclopropyl fatty acids and ratios of trans/cis monoenoic compounds increased with the volume of water that back flowed (analogous with the distance into the formation), while the ratio of unsaturated/saturated compounds decreased, possibly indicating higher levels of stress or starvation in the microbial communities farthest from the injection well. Greater than 90% of the total biomass was trapped on glass fiber filters, indicating that the microbiota were largely attached to particles or were clumped. These sampling techniques and analytical methods may prove useful in monitoring for problems with microbes (e.g., plugging) in waterflood operations and in the preparation of water injection wells for enhanced oil recovery by the use of microbes.     

Biogeographical patterns of soil molecular microbial biomass as influenced by soil characteristics and management

Aim The spatial organization of soil microbial communities on large scales and the identification of environmental factors structuring their distribution have been little investigated. The overall objective of this study was to determine the spatial patterning of microbial biomass in soils over a wide extent and to rank the environmental filters most influencing this distribution. Location French territory using the French Soil Quality Monitoring Network. This network covers the entire French territory and soils were sampled at 2150 sites along a systematic grid. Methods The soil DNA extracted from all these soils was expressed in terms of soil molecular microbial biomass and related to other soil and land‐use data over French territory. Results This study provides the first extensive map of microbial biomass and reveals the heterogeneous and spatially structured distribution of this biomass on the scale of France. The main factors driving biomass distribution are the physico‐chemical properties of the soil (texture, pH and total organic carbon) as well as land use. Soils from land used for intensive agriculture, especially monoculture and vineyards, exhibited the smallest biomass pools. Interestingly, factors known to influence the large‐scale distribution of macroorganisms, such as climatic factors, were not identified as important drivers for microbial communities. Main conclusions Microbial abundance is spatially structured and dependent on local filters such as soil characteristics and land use but is relatively independent of global filters such as climatic factors or the presence of natural barriers. Our study confirms that the biogeography of microorganisms differs fundamentally from the biogeography of ‘macroorganisms’ and that soil management can have significant large‐scale effects.     

Pyrene and Phenanthrene Influence on Soil Microbial Populations

Two studies were conducted to evaluate microbial populations in polycyclic aromatic hydrocarbon-contaminated soil. Captina silt loam was freshly exposed to (1) 0 or 2000?mg pyrene/kg and sampled after 10- and 61-wk incubation and (2) 0 or 505?mg pyrene + 445?mg phenanthrene/kg and sampled after a 21-wk incubation. Microbial numbers were determined by plate-count techniques. Isolated bacteria, selected degraders, and wholesoil extracts were analyzed by fatty acid methyl ester analysis (FAME). In the pyrene experiment, pyrene did not affect total bacterial or fungal numbers, but pyrene degraders increased from undetectable levels to 7.09 log₁₀ degraders/g in the contaminated soil. The FAME analysis of bacterial isolates detected no pyrene effect, but wholesoil FAME indicated an increase in the contaminated soil of a fatty acid characteristic of protozoa and a major fatty acid detected in isolated degraders. In the pyrene + phenanthrene experiment, the contaminants had no impact on bacterial, fungal, or actinomycete numbers but increased degrader numbers. No effect of pyrene + phenanthrene was detected by isolate FAME, but whole-soil FAME indicated an effect similar to that in the pyrene experiment. The results indicate that pyrene, although not impacting microbial numbers, may have altered the soil microbial composition and that Captina silt loam can develop an effective degrader population under tested conditions.     

Mycorrhizal colonization and microbial community structure in the rhizosphere of annual ryegrass grown in pyrene‐amended soils

In an 182‐d lightroom experiment, annual ryegrass (Lolium multiflorum Lam.) was grown in two soils under conditions of high and low fertility to examine the effect of pyrene (500 mg kg^‐1) on plant shoot biomass, mycorrhizal colonization, and soil microbial community structure. Treatments were destructively sampled every 14 d. Plant shoot biomass remained relatively unaffected by pyrene in either soil. Mycorrhizal colonization was only briefly affected by pyrene in one soil, but was unaffected in the other. Changes in soil microbial community structure were measured with whole soil fatty acid methyl ester (FAME) profiles. Differences in soil microbial community structure were observed between planted and nonplanted treatments at both fertility levels, but these differences were unrelated to the presence of pyrene. The bulk soil was associated primarily with fatty acid biomarkers for Gram‐positive bacteria, while the rhizosphere was associated primarily with the fatty acid biomarkers associated with protozoa. Differences in microbial community structure were observed between the two soils. Methylene chloride‐extractable pyrene decreased in nonplanted and planted treatments of one soil, but decreased only in nonplanted treatments of the other soil. These results suggest the potential for phytoremediation to differ among soils.     

Standardizing methylation method during phospholipid fatty acid analysis to profile soil microbial communities

Phospholipid fatty acid (PLFA) as biomarkers, is widely used to profile microbial communities in environmental samples. However, PLFA extraction and derivatization protocols are not standardized and have widely varied among published studies. Specifically investigators have used either HCl/MeOH or KOH/MeOH or both for the methylation step of PLFA analysis, without justification or research to support either one. It seems likely that each method could have very different outcomes and conclusions for PLFA based studies. Therefore, the objective of this study was to determine the effect of catalyst type for methylation on detecting PLFAs and implications for interpreting microbial profiling in soil. Fatty acid samples extracted from soils obtained from a wetland, an intermittently flooded site, and an adjacent upland site were subjected to HCl/MeOH or KOH/MeOH catalyzed methylation procedures during PLFA analyses. The methylation method using HCl/MeOH resulted in significantly higher concentrations of most PLFAs than the KOH/MeOH method. Another important outcome was that fatty acids with a methyl group (18:1ω,7c 11Me, TBSA 10Me 18:0, 10Me 18:0, 17:0 10Me and 16:0 10Me being an actinomycetes biomarker) could not be detected by HCl/MeOH catalyzed methylation but were found in appreciable concentrations with KOH/MeOH method. From our results, because the HCl/MeOH method did not detect the fatty acids containing methyl groups that could strongly influence the microbial community profile, we recommend that the KOH/MeOH catalyzed transesterification method should become the standard procedure for PLFA profiling of soil microbial communities.     

Unique Honey Bee (Apis mellifera) Hive Component-Based Communities as Detected by a Hybrid of Phospholipid Fatty-Acid and Fatty-Acid Methyl Ester Analyses

Microbial communities (microbiomes) are associated with almost all metazoans, including the honey bee Apis mellifera. Honey bees are social insects, maintaining complex hive systems composed of a variety of integral components including bees, comb, propolis, honey, and stored pollen. Given that the different components within hives can be physically separated and are nutritionally variable, we hypothesize that unique microbial communities may occur within the different microenvironments of honey bee colonies. To explore this hypothesis and to provide further insights into the microbiome of honey bees, we use a hybrid of fatty acid methyl ester (FAME) and phospholipid-derived fatty acid (PLFA) analysis to produce broad, lipid-based microbial community profiles of stored pollen, adults, pupae, honey, empty comb, and propolis for 11 honey bee hives. Averaging component lipid profiles by hive, we show that, in decreasing order, lipid markers representing fungi, Gram-negative bacteria, and Gram-positive bacteria have the highest relative abundances within honey bee colonies. Our lipid profiles reveal the presence of viable microbial communities in each of the six hive components sampled, with overall microbial community richness varying from lowest to highest in honey, comb, pupae, pollen, adults and propolis, respectively. Finally, microbial community lipid profiles were more similar when compared by component than by hive, location, or sampling year. Specifically, we found that individual hive components typically exhibited several dominant lipids and that these dominant lipids differ between components. Principal component and two-way clustering analyses both support significant grouping of lipids by hive component. Our findings indicate that in addition to the microbial communities present in individual workers, honey bee hives have resident microbial communities associated with different colony components.     

Determinants of Soil Microbial Communities: Effects of Agricultural Management, Season, and Soil Type on Phospholipid Fatty Acid Profiles

Abstract Phospholipid fatty acid (PLFA) profiles were measured in soils from organic, low-input, and conventional farming systems that are part of the long term Sustainable Agriculture Farming Systems (SAFS) Project. The farming systems differ in whether their source of fertilizer is mineral or organic, and in whether a winter cover crop is grown. Sustained increases in microbial biomass resulting from high organic matter inputs have been observed in the organic and low-input systems. PLFA profiles were compared to ascertain whether previously observed changes in biomass were accompanied by a change in the composition of the microbial community. In addition, the relative importance of environmental variables on PLFA profiles was determined. Redundancy analysis ordination showed that PLFA profiles from organic and conventional systems were significantly different from April to July. On ordination plots, PLFA profiles from the low-input system fell between organic and conventional systems on most sample dates. A group of fatty acids (i14:0, a15:0, 16:1ω7c, 16:1ω5c, 14:0, and 18:2ω6c) was enriched in the organic plots throughout the sampling period, and another group (10Me16:0, 2OH 16:1 and 10Me17:0) was consistently lower in relative abundance in the organic system. In addition, another group (15:0, a17:0, i16:0, 17:0, and 10Me18:0) was enriched over the short term in the organic plots after compost incorporation. The relative importance of various environmental variables in governing the composition of microbial communities could be ranked in the order: soil type > time > specific farming operation (e.g., cover crop incorporation or sidedressing with mineral fertilizer) > management system > spatial variation in the field. Measures of the microbial community and soil properties (including microbial biomass carbon and nitrogen, substrate induced respiration, basal respiration, potentially mineralizable nitrogen, soil nitrate and ammonium, and soil moisture) were seldom associated with the variation in the PLFA profiles. Received: 3 February 1997; Accepted: 7 August 1997     

Microbial Characterization of Biological Filters Used for Drinking Water Treatment

The impact of preozonation and filter contact time (depth) on microbial communities was examined in drinking water biofilters treating Ohio River water which had undergone conventional treatment (coagulation, flocculation, sedimentation) or solutions of natural organic matter isolated from groundwater (both ozonated and nonozonated). With respect to filter depth, compared to filters treating nonozonated waters, preozonation of treated water led to greater differences in community phospholipid fatty acid (PLFA) profiles, utilization of sole carbon sources (Biolog), and arbitrarily primed PCR fingerprints. PLFA profiles indicated that there was a shift toward anaerobic bacteria in the communities found in the filter treating ozonated water compared to the communities found in the filter treating nonozonated settled water, which had a greater abundance of eukaryotic markers.     

Comparative Analysis of the Fatty Acid Composition of Microalgae Obtained by Different Oil Extraction Methods and Direct Biomass Transesterification

One of the main challenges for the successful production and use of microalgae for biodiesel production is to obtain a satisfactory level of fatty acid methyl esters (FAME). The aims of this study are to identify the best method of lipid extraction and provide high FAME levels and to evaluate their fatty acid profiles. Six lipid extraction methodologies in three microalgae species were tested in comparison with the direct transesterification (DT) of microalgal biomass method. The choice of extraction method affected both the oily extract yield and the FAME composition of the microalgae and consequently may affect the properties of biodiesel. The efficiency of different lipid extraction methods is affected by the solvent polarity, which extracts different target compounds from lipid matrix. Dichloromethane/methanol extraction and Folch extraction produced the largest oil extract yields, but extraction with hexane/ethanol resulted in the best ester profile and levels. Performing DT reduces the volume of extractor solvent, the time and cost of FA composition analysis, as well as, presents less steps for fatty acid quantification. DT provided biomass FAME levels of 50.2, 636.4, and 258.2 mg.g^?1 in Nannochlorophisis oculata, Chaetoceros muelleri, and Chlorella sp., respectively. On the basis of an analysis of the fatty acids profiles of different species, C. muelleri is a promising microalga for biodiesel production. Depending on the extraction method, Chlorella sp. and N. oculata can be considered as an alternative in obtaining arachidonic (Aa) and eicosapentaenoic (EPA) acids.