Principal-Components and Factor Analysis for the Description of Microbial Populations. In: Alexander M, editor. Advances in Microbial Ecology. Boston: Springer US; 1978. pp. 1-48. [DOI: 10.1007/978-1-4615-8222-9_1]

Development and application of a selective PCR-denaturing gradient gel electrophoresis approach to detect a recently cultivated Bacillus group predominant in soil

The worldwide presence of a hitherto-nondescribed group of predominant soil microorganisms related to Bacillus benzoevorans was analyzed after development of two sets of selective primers targeting 16S rRNA genes in combination with denaturing gradient gel electrophoresis (DGGE). The high abundance and cultivability of at least some of these microorganisms makes them an appropriate subject for studies on their biogeographical dissemination and diversity. Since cultivability can vary significantly with the physiological state and even between closely related strains, we developed a culture-independent 16S rRNA gene-targeted DGGE fingerprinting protocol for the detection of these bacteria from soil samples. The composition of the B. benzoevorans relatives in the soil samples from The Netherlands, Bulgaria, Russia, Pakistan, and Portugal showed remarkable differences between the different countries. Differences in the DGGE profiles of these communities in archived soil samples from the Dutch Wieringermeer polder were observed over time during which a shift from anaerobic to aerobic and from saline to freshwater conditions occurred. To complement the molecular methods, we additionally cultivated B. benzoevorans-related strains from all of the soil samples. The highest number of B. benzoevorans relatives was found in the soils from the northern part of The Netherlands. The present study contributes to our knowledge of the diversity and abundance of this interesting group of microbes in soils throughout the world.

Fatty acid patterns in Chlamydomonas sp. as a marker for nutritional regimes and temperature under extremely acidic conditions

Fatty acid profiles were used to characterize nutritional pathways in Chlamydomonas sp. isolated from an acidic mining lake (pH 2.7). Surprisingly, profiles of Chlamydomonas sp. grown in the lab under photoautotrophic, mixotrophic, and heterotrophic conditions at in situ deep strata lake water temperatures (8 degrees C) were very similar, polyunsaturated fatty acids including alpha-linolenic acid (18:3omega3) and 16:4omega3 along with palmitic acid (16:0) being most abundant. Therefore, heterotrophic growth of Chlamydomonas sp. at low temperatures can result in high concentrations of polyunsaturated fatty acids, as previously only described for some psychrophilic bacteria. By contrast, the cultivation of isolated Chlamydomonas sp. at 20 degrees C, reflecting surface water temperatures, provided fatty acid patterns characteristic of the nutrition strategy applied: the concentration of polyunsaturated fatty acids decreased when the growth pathway changed from photoautotrophic via mixotrophic to heterotrophic. Total fatty acid concentration also diminished in this order. Principal component analysis confirmed the significance of FA profiling to mirror nutritional pathways. Lake-water analysis revealed low concentrations of dissolved organic carbon, mainly consisting of polymeric fulvic acids that are unable to support heterotrophic growth of Chlamydomonas sp. Polymeric fulvic acids present in the deeper strata of the lake turned out to be formed in situ on the basis of organic monomers including reduced sulfur-containing ones, as revealed by thermochemolysis and pyrolysis. Growth of Chlamydomonas sp. in the deep chlorophyll maximum is therefore assumed to mainly result from photosynthesis, despite very low photon densities. Phytol-including metabolites proved to be significant biomarkers to indicate the nutritional pathway of Chlamydomonas sp. alpha, omega-Dicarboxylic acids-light-induced degradation products of unsaturated fatty acids-appeared to be good indicators of photooxidative alterations to the algal species under study.

Searching for predominant soil bacteria: 16S rDNA cloning versus strain cultivation

The predominant bacteria in Dutch grassland soils, as identified by direct DNA extraction, PCR amplification of 16S rDNA and subsequent cloning and sequencing, were compared to the most abundant culturable bacteria. The 16S rDNAs of the strains from a comprehensive cultivation campaign were compared to some of the predominant cloned sequences by temperature gradient gel electrophoresis (TGGE). Four ribotypes were selected that were found to be abundant in the clone library: two closely related Bacillus-like sequences, a representative from the Verrucomicrobiales cluster and an uncultured member of the Actinobacteria. Using a variety of cultivation approaches a total of 659 pure cultures were isolated. Initially, approximately 8% of all isolates matched any of these ribotypes by same migration speed of their 16S rDNA amplicons on TGGE. However, sequencing analysis of matching isolates indicated that their 16S rDNA sequences were clearly different from the cloned sequences representing the fingerprint bands. Comparing the cultivation approach and the molecular 16S rDNA analysis from the same soil sample, there was no correlation between the collection of cultured strains and the 16S rDNA clone library.

Phylogeny of the main bacterial 16S rRNA sequences in Drentse A grassland soils (The Netherlands)

The main bacteria in peaty, acid grassland soils in the Netherlands were investigated by ribosome isolation, temperature gradient gel electrophoresis, hybridization, cloning, and sequencing. Instead of using only 16S rDNA to determine the sequences present, we focused on rRNA to classify and quantify the most active bacteria. After direct ribosome isolation from soil, a partial amplicon of bacterial 16S rRNA was generated by reverse transcription-PCR. The sequence-specific separation by temperature gradient gel electrophoresis yielded soil-specific fingerprints, which were compared to signals from a clone library of genes coding for 16S rRNA. Cloned 16S rDNA sequences matching with intense bands in the fingerprint were sequenced. The relationships of the sequences to those of cultured organisms of known phylogeny were determined. Most of the amplicons originated from organisms closely related to Bacillus species. Such sequences were also detected by direct dot blot hybridization on soil rRNA: a probe specific for Firmicutes with low G+C content counted for about 50% of all bacterial rRNA. The bacterial activity in Drentse A grassland soil could be estimated by direct dot blot hybridization and sequencing of clones; it was found that about 65% of all the bacterial ribosomes originated from Firmicutes. The most active bacteria apparently were Bacillus species, from which about half of the sequences derived. Other sequences similar to those of gram-positive bacteria were only remotely related to known Firmicutes with a high G+C content. Other sequences were related to Proteobacteria, mainly the alpha subclass.

Genetic diversity of N2-fixing bacteria associated with rice roots by molecular evolutionary analysis of a nifD library

The rhizosphere of wetland rice has significant N2-fixing activity. It has been suggested that N2 fixation in the rice root zone is associated with the activity of various N2-fixing heterotrophic bacteria that inhabit the rice rhizosphere. Because of the generic diversity, many different isolation media and conditions are required to count and isolate these bacteria. In an attempt to overcome any bias from culture-dependent methods we amplified nifD segments from crude rice root DNA by the polymerase chain reaction. The nifD fragments were then cloned into a pT7 Blue T-vector to construct a nifD library. Sixteen cloned nifD genes chosen at random from the library were sequenced. A comparison with published sequences indicated the presence of seven novel groups of NifD proteins, which implies the existence of at least seven components in the diazotrophic community of rice roots, dominated mainly by proteobacteria. We also observed genetic variability within the clusters, which suggests the coexistence of many closely related bacterial lineages. However, we did not find Azospirillum-like nifD clones, although many reports indicated the widespread presence of Azospirillum spp. Therefore, it remains to be clarified whether Azospirillum species are the widespread N2-fixing bacteria in rice roots.

16S rRNA sequences reveal uncultured inhabitants of a well-studied thermal community

Molecular methods are beginning to reveal inhabitants of natural microbial communities which have never before been cultured. Our approach involves selective cloning of naturally occurring 16S rRNA sequences as cDNA, and comparison of these sequences to a database which includes 16S rRNA sequences of isolated community members. We provide here an overview of the method and its potential for community analysis. A 16S rRNA sequence retrieved from the well-studied hot spring cyanobacterial mat in Octopus Spring (Yellowstone National Park) is shown as an example of one contributed by an uncultured member of the community.

Microbial communities in the saturated groundwater environment I: Methods of isolation and characterization of heterotrophic bacteria

In this paper we present a method of isolation and morphological and physiological characterization of groundwater bacteria based on numerical taxonomy and cluster analysis, and using a miniaturized test system (microtiter plates). Bacteria were isolated randomly on P-agar, and each strain was characterized in regard to 155 features. The media for biochemical differentiation are listed as well as methods of morphological discrimination. 246 strains of heterotrophic and oligotrophic bacteria, isolated from five water samples from different depths of the saturated groundwater area, were used for optimizing media and test reactions.

Physiological characterization of heterotrophic bacterial communities from selected aquatic environments

Three different biotopes, groundwater, surface water, and activated sludge, were examined and the total colony count on nutrient agar determined. The bacteria that could be isolated from the agar plates were identified and their in vitro activities investigated. Three principal approaches were used: (1) isolates were identified and the results used in a numerical analysis to determine their similarity; (2) the different physiological properties of isolates originating from a single biotope were compiled and used to characterize the community (collective total activity); and (3) the diversity of the physiological properties of the isolates of all populations was determined; on the basis of main characters a "heterotrophic" diversity index was calculated. The possibility of using a polyphasic ecological study to characterize aquatic bacterial communities is considered.

Factor analysis of fluctuation in populations ofPseudomonas syringae pv.savastanoi on the phylloplane of the olive

Populations ofPseudomonas syringae pv.savastanoi on the surface of olive leaves were monitored quarterly from 1974 to 1981. Seven microbiological parameters were measured: the density of the bacteria on the leaves unfolded in March, in June, and in September; the density of the bacteria on random leaves; the mean vigor of bacterial isolates obtained at each sampling time; and the similarity between the isolates, based on both the simple matching coefficient and the pattern coefficient. Seven environmental parameters were also recorded: the mean temperature, the rainfall, and the frequency and velocity of east and west winds during a period of 30 days before each sampling; the rate of turnover of the leaves during the same period; the number of pollen grains on the leaves at the time of sampling; and the 5-day biochemical oxygen demand of the wash water of leaves in each sample. Factor analysis led to extraction of 7 factors that accounted for 70.69%-92.80% of the maximum variance of every microbiological parameter and 68.92%-96.62% of the maximum variance of every environmental parameter. The factors were identified as "cambial activity", "leaf age", "summertime", "time of blossoming", "summer rains", "winter rains", and "warm weather fronts." More than 43% of the total parameter variance was loaded in the first 2 factors. Higher communality values (>86% of maximum variance) were obtained for the microbiological parameters based on the distribution of phenotypic characters among the bacterial isolates than for those based on bacterial densities on the phylloplane.

Impact of Coal-Coking Effluent on Sediment Microbial Communities: a Multivariate Approach

The functional response to and recovery from coal-coking waste effluent was evaluated for sediment microbial communities. Twenty estimates of microbial population density, biomass, and activity were measured five times during a 15-month period. Significant effects on microbial communities were observed in response to both wastewater contamination and diversion of the wastewater. Multivariate analysis of variance and discriminant analysis indicated that accurate differentiation between uncontaminated and contaminated sediments required a minimum of nine estimates of community response. Total viable population density, ATP, alkaline phosphatase, naphthalene, and phenanthrene mineralization rates were found to be highly weighted variables in site discrimination. Lipid and glucose mineralization, nitrogen fixation, and sediment protein also contributed significantly to explaining variation among sites. Estimates of anaerobic population densities and rates of methane production contributed little to discrimination among sites in the environment examined. In general, total viable population density, ATP, and alkaline phosphatase activity were significantly depressed in contaminated sediments. However, after removal of this contamination, the previously affected sites demonstrated greater temporal variability but a closer approximation of the mean response at the control site. Naphthalene and phenanthrene mineralization did not follow the general trend and were elevated at the contaminated sites throughout the investigation. Results of the investigation supported the hypothesis that multiple functional measures of microbial community response are required to evaluate the effect of and recovery from environmental contamination. In addition, when long-term effects are evaluated, select physiological traits, i.e., polyaromatic hydrocarbon mineralization, may not reflect population and biomass estimates of community response.

Correlations Between Predominant Heterotrophic Bacteria and Physicochemical Water Quality Parameters in Two Canadian Rivers

The heterotrophic bacterial populations in two contrasting rivers have been examined over a period of 1 year. The populations were analyzed (i) as total heterotrophic counts, (ii) as species numbers, using numerical taxonomy, (iii) by diversity indices, and (iv) by factor analysis. Isolates were obtained by plating directly from water samples and by chemostat enrichment. Four factors emerged which profiled the bacterial community and were common to both rivers. They were, in order of decreasing importance, fermentative metabolism, inorganic nitrogen metabolism, fluorescence-oxidative metabolism, and lack of starch hydrolysis. Several factors produced significant correlations with a range of physicochemical parameters, which were also measured. The correlations suggested an intricate algal-bacterial interaction. The oxidative metabolism factor correlated with rainfall in one river, suggesting that the oxidative bacteria may be washed in from the surrounding land. In the other river, the oxidative-fermentative factor correlated negatively with sunshine. Factor analysis was the most effective method for revealing correlations between bacterial characteristics and the environmental parameters; however, the use of a variety of methods provided more insight into the ecological aspects.

Factor Analysis of the Impact of the Environment on Microbial Communities in the Tvärminne Area, Southern Coast of Finland

Data already examined by regression analysis were subjected to factor analysis to scrutinize the effects of environmental factors on microbial populations in the brackish waters of the Tvärminne archipelago on the southern coast of Finland. Water samples were collected from 1.0-m depth at one point in Tvärminne Storfjärd, 71 times over about 2 years. Twenty-six parameters were determined on each sample, 10 of environmental and 16 of microbiological type. The correlations between the parameters were factorized using the principal axis solution, and eight factors chosen for further consideration were rotated by the varimax method. The major part of the variance (about 90% of the total communality) of the microbiological parameters was covered by five factors, interpreted as phytoplankton blooms, the periods before and after the blooms, freshwater outflows, and water temperature. Wind variables were components in the factors interpreted as freshwater outflows. Rainfall played a minor part in the total variance of the microbial community, but it washed yeasts and proteolytic bacteria from the land into the study area. The eight factors selected covered about 60 to 98% of the variance of the microbiological parameters. The highest values (above 90%) were obtained for direct counts of bacteria, for plate counts of mesophilic and polymyxin-resistant bacteria, and for the two community respiration parameters; the lowest values (60 to 75%) were obtained for H 2 S-producing and proteolytic bacteria.