Cultivation-Dependent and -Independent Approaches for Determining Bacterial Diversity in Heavy-Metal-Contaminated Soil

In recent years, culture-independent methods have been used in preference to traditional isolation techniques for microbial community analysis. However, it is questionable whether uncultured organisms from a given sample are important for determining the impact of anthropogenic stress on indigenous communities. To investigate this, soil samples were taken from a site with patchy metal contamination, and the bacterial community structure was assessed with a variety of approaches. There were small differences in microscopic epifluorescence bacterial counts. Denaturing gradient gel electrophoresis (DGGE) profiles of 16S rRNA gene fragments (16S-DGGE) amplified directly from soil samples were highly similar. A clone library generated from the most contaminated sample revealed a diverse bacterial community, which showed similarities to pristine soil communities from other studies. However, the proportion of bacteria from the soil samples that were culturable on standard plate-counting media varied between 0.08 and 2.2%, and these values correlated negatively with metal concentrations. The culturable communities from each sample were compared by 16S-DGGE of plate washes and by fatty acid profiling of individual isolates. Each approach indicated that there were considerable differences between the compositions of the culturable communities from each sample. DGGE bands from both culture-based and culture-independent approaches were sequenced and compared. These data indicated that metal contamination did not have a significant effect on the total genetic diversity present but affected physiological status, so that the number of bacteria capable of responding to laboratory culture and their taxonomic distribution were altered. Thus, it appears that plate counts may be a more appropriate method for determining the effect of heavy metals on soil bacteria than culture-independent approaches.     

Cultivation-dependent and -independent approaches for determining bacterial diversity in heavy-metal-contaminated soil

In recent years, culture-independent methods have been used in preference to traditional isolation techniques for microbial community analysis. However, it is questionable whether uncultured organisms from a given sample are important for determining the impact of anthropogenic stress on indigenous communities. To investigate this, soil samples were taken from a site with patchy metal contamination, and the bacterial community structure was assessed with a variety of approaches. There were small differences in microscopic epifluorescence bacterial counts. Denaturing gradient gel electrophoresis (DGGE) profiles of 16S rRNA gene fragments (16S-DGGE) amplified directly from soil samples were highly similar. A clone library generated from the most contaminated sample revealed a diverse bacterial community, which showed similarities to pristine soil communities from other studies. However, the proportion of bacteria from the soil samples that were culturable on standard plate-counting media varied between 0.08 and 2.2%, and these values correlated negatively with metal concentrations. The culturable communities from each sample were compared by 16S-DGGE of plate washes and by fatty acid profiling of individual isolates. Each approach indicated that there were considerable differences between the compositions of the culturable communities from each sample. DGGE bands from both culture-based and culture-independent approaches were sequenced and compared. These data indicated that metal contamination did not have a significant effect on the total genetic diversity present but affected physiological status, so that the number of bacteria capable of responding to laboratory culture and their taxonomic distribution were altered. Thus, it appears that plate counts may be a more appropriate method for determining the effect of heavy metals on soil bacteria than culture-independent approaches.     

Microbial Biomass and Community Structure in a Sequence of Soils with Increasing Fertility and Changing Land Use

Abstract The microbial biomass and community structure of eight Chinese red soils with different fertility and land use history was investigated. Two community based microbiological measurements, namely, community level physiological profiling (CLPP) using Biolog sole C source utilization tests and phospholipid fatty acid (PLFA) profiles, were used to investigate the microbial ecology of these soils and to determine how land use alters microbial community structure. Microbial biomass-C and total PLFAs were closely correlated to organic carbon and total nitrogen, indicating that these soil microbial measures are potentially good indices of soil fertility in these highly weathered soils. Metabolic quotients and C source utilization were not correlated with organic carbon or microbial biomass. Multivariate analysis of sole carbon source utilization patterns and PLFAs demonstrated that land use history and plant cover type had a significant impact on microbial community structure. PLFAs showed these differences more than CLPP methods. Consequently, PLFA analysis was a better method for assessing broad-spectrum community differences and at the same time attempting to correlate changes with soil fertility. Soils from tea orchards were particularly distinctive in their CLPP. A modified CLPP method, using absorbance readings at 405 nm and different culture media at pH values of 4.7 and 7.0, showed that the discrimination obtained can be influenced by the culture conditions. This method was used to show that the distinctive microbial community structure in tea orchard soils was not, however, due to differences in pH alone. Received: 1 December 1999; Accepted: 6 June 2000; Online Publication: 28 August 2000     

Microbial communities in different soil types do not converge after diesel contamination

AIMS: To study the comparative effect of diesel addition and simulated bioremediation on the microbial community in three different soil types.METHODS AND RESULTS: Three different soils were amended with diesel and bioremediation treatment simulated by addition of nutrients. The progress of bioremediation, and the effect on the indigenous microbial communities, was monitored using microbiological techniques. These included basal respiration, sole carbon source utilization patterns using both a commercially-available substrate set and a set designed to highlight changes in hydrocarbon-utilizing bacteria, and phospholipid fatty acid (PLFA) profiling. The development of active hydrocarbon-degrading communities was indicated by the disappearance of diesel, increases in soil respiration and biomass, and large changes in the sole carbon source utilization patterns and PLFA profiles compared with control soils. However, comparison of the relative community structure of the three soils using PLFA profiling showed that there was no tendency for the community structure of the three different soil types to converge as a result of contamination. In fact, they became more dissimilar as a result. Changes in the sole carbon source utilization patterns using the commercially-available set of carbon sources indicated the same result as shown by PLFA profiling. The specially selected set of carbon sources yielded no additional information compared with the commercially-available set.CONCLUSIONS: Diesel contamination does not result in the development of similar community profiles in different soil types.SIGNIFICANCE AND IMPACT OF THE STUDY: The results suggest that different soils have different inherent microbial potential to degrade hydrocarbons, a finding that should be taken into account in impact and risk assessments. Following the development of the microbial community and its recovery is a useful and sensitive way of monitoring the impact and recovery of oil-contaminated soils.     

德兴铜矿尾矿重金属污染对土壤中微生物多样性的影响

【目的】为更好地了解重金属污染与微生物多样性之间的相互作用关系,以江西德兴铜矿4#尾砂库为研究对象,采集野外实地样品共16件进行分析(包括尾砂样品以及周围农田和菜地土壤样品)。【方法】一方面对样品中可培养异养细菌进行平板计数,一方面采用变性梯度凝胶电泳(Denaturing gradient gel electrophoresis,DGGE)对样品中可培养和不可培养微生物分子生态多样性进行研究;同时采用PCA(Principle component analysis)方法分析样品理化性质、重金属及主要元素与可培养细菌数量及微生物多样性之间的相互关系。【结果】元素分析结果表明该尾矿区样品受到不同程度重金属Cu、Cd、Zn、Ni、Pb和Cr的污染;可培养异养细菌在尾砂样品中数量最少,在菜地和农田土壤样品中有明显增加;多样性指数(Shannon-Weaver index H)计算结果发现H最大值出现在距离尾矿中等距离、重金属浓度在中等程度的样品中。PCA分析结果表明可培养异养菌数量与理化性质如有机碳、有机质、含水率等相关性较大,重金属影响不明显;而多样性指数H除与上述理化性质相关性较大外,还受到重金属Ag、Zn、As、Pb、Ni、Cr等的影响,而在样品中含量普遍比较高的重金属如Cu、Cd等并不成为影响微生物多样性的主要因素。【结论】从这些长期受重金属污染的野外实地样品来看,以上结果说明不同重金属浓度对微生物多样性的影响可能并不是实验室研究的简单的线性关系。     

杉木人工林土壤微生物群落结构特征

采用氯仿熏蒸法、稀释平板法和磷脂脂肪酸(phospholipid fatty acid,PLFA)方法,分析了常绿阔叶林转变成杉木人工林后土壤微生物种群数量和群落结构的变化特征.结果表明:常绿阔叶林转变为杉木人工林后,林地土壤的微生物生物量碳、可培养细菌和放线菌数降低.杉木人工林地总PLFAs、细菌PLFAs、真菌PLFAs比常绿阔叶林分别降低了49.4％、52.4％和46.6％,革兰氏阳性和阴性细菌PLFAs远低于常绿阔叶林.杉木人工林根际土壤微生物生物量碳、可培养细菌和放线菌数显著高于杉木人工林林地土壤,根际土壤中总PLFAs、细菌PLFAs、革兰氏阳性和阴性细菌PLFAs的含量也高于林地土壤,但真菌PLFAs和细菌PLFAs之比却低于林地土壤.对土壤微生物群落结构进行主成分分析发现,第1主成分和第2主成分共解释了土壤微生物群落结构变异的78.2％.表明常绿阔叶林与杉木人工林土壤的微生物群落结构间存在差异.     

Effect of copper exposure on bacterial community structure and function in the sediments of Jiaozhou Bay,China

Microcosms were setup to investigate the possible impact of copper exposure on bacterial community structure and function in sediments of Jiaozhou Bay, China, by culture-independent microbial ecological techniques and community-level physiological profiling. Bacterial 16S rDNA libraries indicated that proportion of the bacteria in phyla Chloroflexi and Acidobacteria decreased, but that of Gammaproteobacteria and Planctomycetes slightly increased in copper-treated sediment. Denaturing gradient gel profiles showed that bacterial communities in control and copper exposed sediments developed into different directions, while the copper exposure did not change the pattern of ammonia oxidizing bacterial community. Microbial community-level physiological profiling revealed an obvious response to copper dosage. The copper pollution caused an acute decrease of carbon utilizing ability as well as bacterial functional diversity; the number of culturable heterotrophic bacteria was reduced by 90 %. This study demonstrated that high copper input would obviously reduce culturable bacterial counts and seriously impact bacterial community function in marine sediments.     

Quantitative analysis of bacterial communities from Mediterranean sapropels based on cultivation-dependent methods

Microbial communities of ancient Mediterranean sapropels, buried sediment layers of high organic matter, were analyzed by most probable number (MPN) approaches. Mineral media containing different carbon sources in sub-millimolar concentrations were used. MPN numbers were elevated in sapropels and at the sediment surface, which mirrored total cell count distributions. Highest MPN counts were obtained with a mixture of different monomeric and polymeric substrates, with amino acids or with long-chain fatty acids as sole carbon sources. These values reached up to 2 x 10(7) cm(-3), representing 3.3% of the total cell count. A total of 98 pure cultures were isolated from the highest positive dilutions of the MPN series, representing the most abundant microorganisms culturable by the methods used. The strains were identified by molecular biological methods and could be grouped into 19 different phylotypes. They belonged to the alpha-, beta-, gamma-, and delta-Proteobacteria, to the Actinobacteria and the Firmicutes. However, about half of the number of isolates was closely related to the genera Photobacterium and Agrobacterium. Regarding the high cultivation success, these organisms can be assumed to be typical sapropel bacteria, representing a substantial part of the culturable indigenous microbial community.     

斑马鱼饲养循环装置中的水生环境微生物群落代谢

目的在斑马鱼标准化养殖中,建立饲养环境中微生物群落代谢指纹数据库,用于分析和判断饲养环境是否出现病原菌感染。方法在不当的饲养过程中,斑马鱼会出现死亡或疾病,其中一个重要原因是病原菌感染。采用MicroStation细菌鉴定系统,微生物群落将鉴定板上的95种碳源作为唯一可利用碳源,当各孔中微生物利用碳源底物时,呼吸作用引起了氧化还原反应指示剂颜色变化,板上出现的颜色反应作为鉴定的指纹。结果多变量分析代谢的类型与程度,得出健康的斑马鱼饲养环境的微生物群落对GN和GP板上的22种有共同利用的模式。结论本文通过微生物群落代谢单碳源方法分析微生物群落的结构和功能变化,多变量分析后定位健康的斑马鱼饲养环境中的微生物群落代谢特征。     

Characterization of the rhizosphere microbial community from different Arabidopsis thaliana genotypes using phospholipid fatty acids (PLFA) analysis

Total and culturable rhizosphere microbial communities structure from three different genotypes of Arabidopsis thaliana growing on three different substrates was studied with phospholipid fatty acid analysis (PLFA) and multivariate statistical analyses: correspondence analysis (CA) and distance based redundancy analyses (db-RDA). In addition, microbial biomass from different groups (total bacteria, Gram+, Gram? and fungi) was calculated from biomarkers PLFA peak area, both from total and culturable microbial community. db-RDA analysis showed significant differences between soils but not between plant genotypes for culturable microbial community structure. Total microbial community was significantly different between soils, and also between plant lines in each soil. Biomass of different bacterial groups showed significant higher values in soil two rhizosphere irrespective of the plant line. In addition, significant differences between plant lines were also found for microbial biomass of different bacterial groups both in total and culturable microbial community. Throughout the work we have demonstrated that PLFA analysis has been able to show a different behaviour of total microbial community with regard to the culturable fraction analyzed in this work under the influence of plant roots. Microbial biomass of different microbial groups calculated with PLFA biomarkers was a suitable tool to detect differences between soils irrespective of the plant line, and differences in the same soil between plant lines. According to this data, a previous study should be carried out before GMPs are used in field conditions to evaluate the potential alterations that may take place on rhizosphere microbial communities structure which may further affect soil productivity. In conclusion, based on data presented in this work, GMPs alter rhizosphere microbial communities structure and this effect is different depending on the soil. Furthermore, total microbial community is affected to a greater extent than the culturable fraction analyzed.     

Community level physiological profile of soil bacteria unaffected by extraction method.

Extraction and purification of bacteria from soil by the Nycodenz gradient centrifugation procedure described by Bakken and Lindahl (1995; Recovery of bacterial cells from soil. In: van Elsas, J.D., Trevors, J.T. (Eds.), Nucleic Acids in the Environment: Methods and Applications. Springer Verlag, Berlin, pp. 9-27) were compared to soil slurry extractions. Bacterial communities from four different soils were described by the bacterial abundance, CTC-reducing capacity, culturability and the community level physiological profiles (CLPP) in BIOLOG GN plates. A significant loss of both total and culturable number of bacteria g(-1) soil dry weight were found after extraction and purification of cells. The origin of soil influenced the yield of cells and a difference between the four soils and an interaction between the soils and extraction procedure were found. The culturability and the CLPP were different between the four soils but were unaffected by the extraction procedure. The bacterial community obtained after extraction and purification thus represented the same fraction of the indigenous bacterial community.     

Decline in topsoil microbial quotient, fungal abundance and C utilization efficiency of rice paddies under heavy metal pollution across South China

Agricultural soils have been increasingly subject to heavy metal pollution worldwide. However, the impacts on soil microbial community structure and activity of field soils have been not yet well characterized. Topsoil samples were collected from heavy metal polluted (PS) and their background (BGS) fields of rice paddies in four sites across South China in 2009. Changes with metal pollution relative to the BGS in the size and community structure of soil microorganisms were examined with multiple microbiological assays of biomass carbon (MBC) and nitrogen (MBN) measurement, plate counting of culturable colonies and phospholipids fatty acids (PLFAs) analysis along with denaturing gradient gel electrophoresis (DGGE) profile of 16S rRNA and 18S rRNA gene and real-time PCR assay. In addition, a 7-day lab incubation under constantly 25°C was conducted to further track the changes in metabolic activity. While the decrease under metal pollution in MBC and MBN, as well as in culturable population size, total PLFA contents and DGGE band numbers of bacteria were not significantly and consistently seen, a significant reduction was indeed observed under metal pollution in microbial quotient, in culturable fungal population size and in ratio of fungal to bacterial PLFAs consistently across the sites by an extent ranging from 6% to 74%. Moreover, a consistently significant increase in metabolic quotient was observed by up to 68% under pollution across the sites. These observations supported a shift of microbial community with decline in its abundance, decrease in fungal proportion and thus in C utilization efficiency under pollution in the soils. In addition, ratios of microbial quotient, of fungal to bacterial and qCO(2) are proved better indicative of heavy metal impacts on microbial community structure and activity. The potential effects of these changes on C cycling and CO(2) production in the polluted rice paddies deserve further field studies.     

Carbon Source Utilization Profiles for Microbial Communities from Hydrologically Distinct Zones in a Basalt Aquifer

Abstract The Eastern Snake River Plain aquifer has hydrologically distinct zones in basalt flow units and interbedded sediments. The zones that differ markedly in physical features (e.g., porosity and permeability) have similar groundwater chemistries. The primary objective of this study was to determine whether intervals within the aquifer that contrast on the basis of permeability have distinct communities of unattached microorganisms based on functional attributes. Aquifer sampling was conducted using a submersible pump to obtain whole-well (w) samples, and a straddle-packer pump (SPP) to obtain samples from specific aquifer intervals that were vertically distributed in the open borehole. The SPP intervals ranged from 4.6 to 6.1 m in length and were located from 142 to 198 m below land surface. A community-level physiological profile (CLPP) was used to determine functional characteristics of the microbial community in the groundwater samples based on the community response to 95 sole organic carbon sources. Surface soil samples at the site were analyzed in a similar manner for comparison. The total bacterial population in the groundwater samples was determined using acridine orange direct counts. Principal components analysis (PCA) of the CLPP dataset distinguished between surface soil and aquifer microbial communities. Soils scored low in the respiration of polymers, esters, and amines and high in bromosuccinate, when compared to aquifer samples. The W samples were distinct from SPP samples. The 180- to 198-m interval, with the lowest hydraulic conductivity of all intervals, yielded samples that grouped together by PCA and cluster analysis. Direct counts varied between 10⁴ and 10⁵ cells ml⁻¹, and showed no relationship to the depth of the sample or to the hydraulic conductivity of the sample interval. Differences between microbial communities based on respired carbon compounds were discerned in separate, hydrologically distinct intervals within the borehole, although these differences were slight. Differences among aquifer intervals were less apparent than differences between surface soils and groundwater, and may be related to variations in hydrologic properties over the intervals sampled. The results suggest that free-living microbial communities in basalt aquifers, as characterized by CLPP are relatively unaffected by wide ranges in hydraulic conductivity when other abiotic factors are essentially equal. Received: 14 December 1995; Revised: 12 April 1996     

不同寡营养培养条件下南海水体细菌群落结构及其对碳源的利用特征

【背景】绝大多数海洋微生物不可培养,为挖掘海洋生态系统中可培养的微生物资源,研究者尝试寡营养培养等方法。【目的】比较不同寡营养培养条件下南海水体细菌数量、群落结构及其对碳源的利用特征差异。【方法】采用原2216E培养液(Y)、稀释10倍(Y-10)和稀释50倍(Y-50)的2216E培养液培养南海海水样品,用荧光定量PCR法和16S rRNA基因检测细菌数量和菌群结构;利用平板计数法计数异养细菌的数量,纯化鉴定可培养细菌;采用Biolog EcoPlateTM微板法分析不同培养基中细菌群落对碳源的利用特征。【结果】Y组细菌总数高于Y-10组和Y-50组,差异不显著(P0.05),但异养细菌数量显著高于Y-10组和Y-50组(P0.05)。16S rRNA基因测序结果表明,不同稀释倍数下的细菌群落结构差异明显,Y组检测出10门193属,优势类群为Proteobacteria(56.44%)和Bacteroides (37.27%);Y-10组检测出15门220属,优势类群为Proteobacteria (40.30%)、Bacteroides(36.91%)和Firmicutes (17.30%);Y-50组检测出14门226属,优势类群为Proteobacteria (45.19%)、Bacteroides(25.29%)、Planctomycetes (13.58%)和Firmicutes(11.21%)。通过平板培养,Y组和Y-10组均分离到6属14株优势菌,Y-50组分离到7属13株优势菌,其中,Bacillus为其共有的优势菌属,稀释10倍培养液筛得的Microbacterium(1株)、Vibro(1株)、Idiomarina(1株)、Halobacillus(1株)共4株优势菌和稀释50倍培养液筛得的Alcanivorax(1株)、Sulfitobacter(1株)、Alteromonas(1株)、Pseudomonas (1株)、Exiguobacterium (2株)、Vibro (3株)共9株优势菌不同于原培养液。通过寡营养培养,可培养细菌群落的代谢活性和McIntosh指数显著增加(P0.05),其对聚合物、羧酸、氨基酸、糖类的利用率也显著提高(P0.05)。【结论】通过寡营养培养能增加细菌群落的丰富度和多样性,提高可培养细菌的代谢活性和对碳源尤其是聚合物、羧酸、氨基酸和糖类的利用率,分离纯化可获得原培养基未筛选得到的细菌。因此,在南海远洋海域可培养细菌样品的采集及复苏时,可通过寡营养培养法获得更丰富的南海可培养微生物资源。     

Analysis of the Diversity of Substrate Utilisation of Soil Bacteria Exposed to Cd and Earthworm Activity Using Generalised Additive Models

Biolog EcoPlates™ can be used to measure the carbon substrate utilisation patterns of microbial communities. This method results in a community-level physiological profile (CLPP), which yields a very large amount of data that may be difficult to interpret. In this work, we explore a combination of statistical techniques (particularly the use of generalised additive models [GAMs]) to improve the exploitation of CLPP data. The strength of GAMs lies in their ability to address highly non-linear relationships between the response and the set of explanatory variables. We studied the impact of earthworms (Aporrectodea caliginosa Savigny 1826) and cadmium (Cd) on the CLPP of soil bacteria. The results indicated that both Cd and earthworms modified the CLPP. GAMs were used to assess time-course changes in the diversity of substrate utilisation (DSU) using the Shannon-Wiener index. GAMs revealed significant differences for all treatments (compared to control -S-). The Cd exposed microbial community presented very high metabolic capacities on a few substrata, resulting in an initial acute decrease of DSU (i.e. intense utilization of a few carbon substrata). After 54 h, and over the next 43 h the increase of the DSU suggest that other taxa, less dominant, reached high numbers in the wells containing sources that are less suitable for the Cd-tolerant taxa. Earthworms were a much more determining factor in explaining time course changes in DSU than Cd. Accordingly, Ew and EwCd soils presented similar trends, regardless the presence of Cd. Moreover, both treatments presented similar number of bacteria and higher than Cd-treated soils. This experimental approach, based on the use of DSU and GAMs allowed for a global and statistically relevant interpretation of the changes in carbon source utilisation, highlighting the key role of earthworms on the protection of microbial communities against the Cd.     

Assessment of bacterial community structure in a long-term copper-polluted ex-vineyard soil

The influence of long-term copper contamination on the diversity of bacterial communities was investigated in an ex-vineyard soil. Two sites of the same area but exhibiting different 3-fold exchangeable copper (Ex-Cu) concentrations were analysed. Culturable bacterial community structure was assessed using a variety of approaches: determination of culturable bacteria number, analyses of 132 isolates, and denaturing gradient gel lectrophoresis (DGGE) patterns of bacterial biomass grown on agar plates and of soil DNA. There was no significant difference in the number of total heterotrophs at the two sites, whereas the percentage of fast-growing bacteria growing in 1 day, was lower at the site with the higher Ex-Cu content. A high percentage of Cu-tolerant bacteria was found in both sites (63-70%) and it was relatively independent of the Cu content. Shifts in species composition of the culturable bacterial community were detected by analysing isolates from the two soils, Gram-positive bacteria prevailed in the less-polluted soil while Gram-negative bacteria in the more-polluted soil. Each sample site had a community with a different metal resistance pattern. Our study seems to indicate that in this soil ecosystem, copper influenced the culturable bacterial communities, affecting the structural diversity and altering some of the metal resistance of the microorganisms. The Sorensen similarity index calculated on DGGE profiles of 16S rDNA of total and culturable bacterial communities indicated a different species composition at the two sites, although both sites had the same biodiversity degree and different dominance.     

Sheep-urine-induced changes in soil microbial community structure

Soil microbial communities play an important role in nutrient cycling and nutrient availability, especially in unimproved soils. In grazed pastures, sheep urine causes local changes in nutrient concentration which may be a source of heterogeneity in microbial community structure. In the present study, we investigated the effects of synthetic urine on soil microbial community structure, using physiological (community level physiological profiling, CLPP), biochemical (phospholipid fatty acid analysis, PLFA) and molecular (denaturing gradient gel electrophoresis, DGGE) fingerprinting methods. PLFA data suggested that synthetic urine treatment had no significant effect on total microbial (total PLFA), total bacterial or fungal biomass; however, significant changes in microbial community structure were observed with both PLFA and DGGE data. PLFA data suggested that synthetic urine induced a shift towards communities with higher concentrations of branched fatty acids. DGGE banding patterns derived from control and treated soils differed, due to a higher proportion of DNA sequences migrating only to the upper regions of the gel in synthetic urine-treated samples. The shifts in community structure measured by PLFA and DGGE were significantly correlated with one another, suggesting that both datasets reflected the same changes in microbial communities. Synthetic urine treatment preferentially stimulated the use of rhizosphere-C in sole-carbon-source utilisation profiles. The changes caused by synthetic urine addition accounted for only 10-15% of the total variability in community structure, suggesting that overall microbial community structure was reasonably stable and that changes were confined to a small proportion of the communities.     

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.     

Microbial communities in sugarcane field soils with and without a sugarcane cropping history

Microbial communities in rhizosphere soil from sugarcane (Saccharum inter-specific hybrids) and bulk soil were compared at paired field sites with and without a sugarcane cropping history to determine whether monoculture affects soil microbial community composition. Differences were evaluated for culturable microorganisms and functional diversity indicated by community level physiological profiles (CLPP). Qualitative differences in rhizosphere bacterial communities were detected between sites with no sugarcane cropping history (N_site) and sites with a long-term sugarcane cropping history (L_site). More fluorescent pseudomonads were detected in N_site than L_site rhizosphere soil at two of three sites, and Actinobacteria were more numerous in N_site than L_site rhizosphere soil at one site. Fusarial fungi were more numerous in N_site than L_site rhizosphere soils. Bacteria were more numerous in rhizosphere soil compared to bulk soil. Total bacterial, pseudomonad, and Actinobacteria population densities were greater in bulk soil from an N_site compared to an L_site. CLPP distinguished bulk from rhizosphere soil at one of two sites and N_site and L_site rhizosphere soils at two of four sites. Site affected CLPP similarity more than cropping history. The results demonstrated that sugarcane monoculture can affect the composition of the microbial community in field soil. The findings have possible implications for reduced yields associated with sugarcane monoculture.