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1.
Microb Ecol ; 46(1): 1-11, 2003 Jul.
Article in English | MEDLINE | ID: mdl-14582492

ABSTRACT

Terminal restriction fragment length polymorphism and fluorescent in situ hybridization revealed that spirochete-related populations dominated two glucose-fed methanogenic bioreactor communities at dilution rates of 0.06, 0.13, and 0.17 day(-1). At dilution rates of 0.25 and 0.50 day(-1), spirochete-related populations decreased while Clostridium-related populations increased. Isolates representing both dominant populations were obtained (Treponema R8 and Clostridium S9) and competed against each other in continuous culture. Treponema R8 out-competed Clostridium S9 at all dilution rates applied (0.17 to 1.0 day(-1)) when sufficient pantothenate was supplied in the medium. Without sufficient pantothenate, the population size of Treponema R8 was limited to 40% of the total cells. Coculture of Treponema R8 with Methanobacterium bryantii increased the cell yield of Treponema R8 and relieved the pantothenate requirement. Triculture of Treponema R8, Clostridium S9, and M. bryantii in pantothenate-deficient medium allowed Treponema R8 to outcompete Clostridium S9 in continuous culture upto a dilution rate of 0.50 day(-1). These experiments demonstrate that cofactor and vitamin requirements can affect the competitive success of a microbial species.


Subject(s)
Clostridium/genetics , Clostridium/physiology , Ecosystem , Treponema/physiology , Base Sequence , Bioreactors/microbiology , Colony Count, Microbial , DNA Primers , Fermentation , In Situ Hybridization, Fluorescence , Molecular Sequence Data , Pantothenic Acid/chemistry , Polymorphism, Restriction Fragment Length , Population Dynamics
2.
Appl Microbiol Biotechnol ; 56(3-4): 531-8, 2001 Aug.
Article in English | MEDLINE | ID: mdl-11549033

ABSTRACT

We compared carbon flow under constant low-substrate conditions (below 20 microM glucose in situ) in laboratory-scale glucose-fed methanogenic bioreactors containing two very different microbial communities that removed chemical oxygen demand at similar rates. One community contained approximately equal proportions of spiral and cocci morphologies, while the other community was dominated by cocci. In the former bioreactor, over 50% of the cloned SSU rRNA genes and the most common SSU rDNA terminal restriction fragment corresponded to Spirochaetaceae-related sequences, while in the latter bioreactor over 50% of the cloned SSU rRNA genes and the most common SSU rDNA terminal restriction fragment corresponded to Streptococcus-related sequences. Carbon flow was assessed by measuring 14C-labeled metabolites derived from a feeding of [U-14C]glucose that did not alter the concentration of glucose in the bioreactors. Acetate and ethanol were detected in the Spirochaetaceae-dominated reactor, whereas acetate and propionate were detected in the Streptococcus-dominated reactor. A spirochete isolated from a Spirochaetaceae-dominated reactor fermented glucose to acetate, ethanol, and small amounts of lactate. Maximum substrate utilization assays carried out on fluid from the same reactor indicated that acetate and ethanol were rapidly utilized by this community. These data indicate that an acetate- and ethanol-based food chain was present in the Spirochaetaceae-dominated bioreactor, while the typical acetate- and propionate-based food chain was prevalent in the Streptococcus-dominated bioreactor.


Subject(s)
Bioreactors , Carbon/metabolism , Methane/metabolism , Spirochaetaceae/isolation & purification , Streptococcus/isolation & purification , Acetates/metabolism , DNA, Ribosomal/analysis , Ecosystem , Ethanol/metabolism , Fermentation , Glucose/metabolism , Molecular Sequence Data , Polymorphism, Restriction Fragment Length , Propionates/metabolism , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA , Spirochaetaceae/classification , Spirochaetaceae/genetics , Spirochaetaceae/metabolism , Streptococcus/classification , Streptococcus/genetics , Streptococcus/metabolism
3.
Microb Ecol ; 42(4): 495-505, 2001 Dec.
Article in English | MEDLINE | ID: mdl-12024232

ABSTRACT

Interpreting the large amount of data generated by rapid profiling techniques, such as T-RFLP, DGGE, and DNA arrays, is a difficult problem facing microbial ecologists. This study compares the ability of two very different ordination methods, principal component analysis (PCA) and self-organizing map neural networks (SOMs), to analyze 16S-DNA terminal restriction-fragment length polymorphism (T-RFLP) profiles from microbial communities in glucose-fed methanogenic bioreactors during startup and changes in operational parameters. Our goal was not only to identify which samples were similar, but also to decipher community dynamics and describe specific phylotypes, i.e., phylogenetically similar organisms, that behaved similarly in different reactors. Fifteen samples were taken over 56 volume changes from each of two bioreactors inoculated from river sediment (S2) and anaerobic digester sludge (M3) and from a well-established control reactor (R1). PCA of bacterial T-RFLP profiles indicated that both the S2 and M3 communities changed rapidly during the first nine volume changes, and then became relatively stable. PCA also showed that an HRT of 8 or 6 days had no effect on either reactor communtity, while an HRT of 2 days changed community structure significantly in both reactors. The SOM clustered the terminal restriction fragments according to when each fragment was most abundant in a reactor community, resulting in four clearly discernible groups. Thirteen fragments behaved similarly in both reactors, eight of which composed a significant proportion of the microbial community as judged by the relative abundance of the fragment in the T-RFLP profiles. Six Bacteria terminal restriction fragments shared between the two communities matched cloned 16S rDNA sequences from the reactors related to Spirochaeta, Aminobacterium, Thermotoga, and Clostridium species. Convergence also occurred within the acetoclastic methanogen community, resulting in a predominance of Methanosarcina siciliae-related organisms. The results demonstrate that both PCA and SOM analysis are useful in the analysis of T-RFLP data; however, the SOM was better at resolving patterns in more complex and variable data than PCA ordination.

4.
Appl Environ Microbiol ; 66(12): 5410-8, 2000 Dec.
Article in English | MEDLINE | ID: mdl-11097922

ABSTRACT

The aim of this study was to determine the effects of different agricultural treatments and plant communities on the diversity of ammonia oxidizer populations in soil. Denaturing gradient gel electrophoresis (DGGE), coupled with specific oligonucleotide probing, was used to analyze 16S rRNA genes of ammonia oxidizers belonging to the beta subgroup of the division Proteobacteria by use of DNA extracted from cultivated, successional, and native deciduous forest soils. Community profiles of the different soil types were compared with nitrification rates and most-probable-number (MPN) counts. Despite significant variation in measured nitrification rates among communities, there were no differences in the DGGE banding profiles of DNAs extracted from these soils. DGGE profiles of DNA extracted from samples of MPN incubations, cultivated at a range of ammonia concentrations, showed the presence of bands not amplified from directly extracted DNA. Nitrosomonas-like bands were seen in the MPN DNA but were not detected in the DNA extracted directly from soils. These bands were detected in some samples taken from MPN incubations carried out with medium containing 1,000 microg of NH(4)(+)-N ml(-1), to the exclusion of bands detected in the native DNA. Cell concentrations of ammonia oxidizers determined by MPN counts were between 10- and 100-fold lower than those determined by competitive PCR (cPCR). Although no differences were seen in ammonia oxidizer MPN counts from the different soil treatments, cPCR revealed higher numbers in fertilized soils. The use of a combination of traditional and molecular methods to investigate the activities and compositions of ammonia oxidizers in soil demonstrates differences in fine-scale compositions among treatments that may be associated with changes in population size and function.


Subject(s)
Ammonia/metabolism , Soil Microbiology , Agriculture , Betaproteobacteria/genetics , Betaproteobacteria/isolation & purification , Betaproteobacteria/metabolism , DNA, Bacterial/genetics , DNA, Bacterial/isolation & purification , DNA, Ribosomal/genetics , DNA, Ribosomal/isolation & purification , Ecosystem , Oxidation-Reduction , Phylogeny , RNA, Bacterial/genetics , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA
5.
Appl Environ Microbiol ; 66(9): 4050-7, 2000 Sep.
Article in English | MEDLINE | ID: mdl-10966428

ABSTRACT

Parallel processing is more stable than serial processing in many areas that employ interconnected activities. This hypothesis was tested for microbial community function using two quadruplicate sets of methanogenic communities, each set having substantially different populations. The two communities were maintained at a mean cell residence time of 16 days and a mean glucose loading rate of 0.34 g/liter-day in variable-volume reactors. To test stability to perturbation, they were subjected to an instantaneous glucose pulse that resulted in a 6.8-g/liter reactor concentration. The pattern of accumulated products in response to the perturbation was analyzed for various measures of functional stability, including resistance, resilience, and reactivity for each product. A new stability parameter, "moment of amplification envelope," was used to compare the soluble compound stability. These parameters indicated that the communities with predominantly parallel substrate processing were functionally more stable in response to the perturbation than the communities with predominantly serial substrate processing. The data also indicated that there was good replication of function under perturbed conditions; the degrees of replication were 0.79 and 0.83 for the two test communities.


Subject(s)
Bioreactors , Ecosystem , Euryarchaeota/growth & development , Glucose/metabolism , Methane/metabolism , Culture Media , Euryarchaeota/metabolism
6.
Appl Environ Microbiol ; 66(9): 4058-67, 2000 Sep.
Article in English | MEDLINE | ID: mdl-10966429

ABSTRACT

Methanogenic bioreactor communities were used as model ecosystems to evaluate the relationship between functional stability and community structure. Replicated methanogenic bioreactor communities with two different community structures were established. The effect of a substrate loading shock on population dynamics in each microbial community was examined by using morphological analysis, small-subunit (SSU) rRNA oligonucleotide probes, amplified ribosomal DNA (rDNA) restriction analysis (ARDRA), and partial sequencing of SSU rDNA clones. One set of replicated communities, designated the high-spirochete (HS) set, was characterized by good replicability, a high proportion of spiral and short thin rod morphotypes, a dominance of spirochete-related SSU rDNA genes, and a high percentage of Methanosarcina-related SSU rRNA. The second set of communities, designated the low-spirochete (LS) set, was characterized by incomplete replicability, higher morphotype diversity dominated by cocci, a predominance of Streptococcus-related and deeply branching Spirochaetales-related SSU rDNA genes, and a high percentage of Methanosaeta-related SSU rRNA. In the HS communities, glucose perturbation caused a dramatic shift in the relative abundance of fermentative bacteria, with temporary displacement of spirochete-related ribotypes by Eubacterium-related ribotypes, followed by a return to the preperturbation community structure. The LS communities were less perturbed, with Streptococcus-related organisms remaining prevalent after the glucose shock, although changes in the relative abundance of minor members were detected by morphotype analysis. A companion paper demonstrates that the more stable LS communities were less functionally stable than the HS communities (S. A. Hashsham, A. S. Fernandez, S. L. Dollhopf, F. B. Dazzo, R. F. Hickey, J. M. Tiedje, and C. S. Criddle, Appl. Environ. Microbiol. 66:4050-4057, 2000).


Subject(s)
Bioreactors , Ecosystem , Euryarchaeota/growth & development , Glucose/metabolism , Methane/metabolism , Anaerobiosis , DNA, Archaeal/analysis , DNA, Archaeal/genetics , DNA, Bacterial/analysis , DNA, Bacterial/genetics , DNA, Ribosomal/analysis , DNA, Ribosomal/genetics , Euryarchaeota/classification , Euryarchaeota/metabolism , Euryarchaeota/ultrastructure , Image Processing, Computer-Assisted , Methanosarcina/classification , Methanosarcina/genetics , Methanosarcina/metabolism , Molecular Sequence Data , Oligonucleotide Probes , RNA, Ribosomal/genetics , Restriction Mapping , Sequence Analysis, DNA , Spirochaetales/classification , Spirochaetales/genetics , Spirochaetales/metabolism , Streptococcus/classification , Streptococcus/genetics , Streptococcus/metabolism
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