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A E McCaig

Publications and source records attributed to A E McCaig.

7 recordsLinked to original sources

The relationship between microbial community structure and functional stability, tested experimentally in an upland pasture soil.

Soil collected from an upland pasture was manipulated experimentally in ways shown previously to alter microbial community structure. One set of soil was subjected to chloroform fumigation for 0, 0.5, 2, or 24 h and the other was sterilised by gamma-irradiation and inoculated with a 10(-2), 10(-4), 10(-6), or 10(-8) dilution of a soil suspension prepared from unsterilized soil. Following incubation for 8 months, to allow for the stabilization of microbial biomass and activity, the resulting microbial community structure (determined by PCR-DGGE of bacterial specific amplification products of total soil DNA) was assessed. In addition, the functional stability (defined here as the resistance and resilience of short-term decomposition of plant residues to a transient heat or a persistent copper perturbation) was determined. Changes in the active bacterial population following perturbation (determined by RT-PCR-DGGE of total soil RNA) were also monitored. The manipulations resulted in distinct shifts in microbial community structure as shown by PCR-DGGE profiles, but no significant decreases in the number of bands. These shifts in microbial community structure were associated with a reduction in functional stability. The clear correlation between altered microbial community structure and functional stability observed in this upland pasture soil was not evident when the same protocols were applied to soils in other studies. RT-PCR-DGGE profiles only detected a shift in the active bacterial population following heat, but not copper, perturbation. We conclude that the functional stability of decomposition is related to specific components of the microbial community.

Analysis of Variance↗

Impacts of soil faunal community composition on model grassland ecosystems.

Human impacts, including global change, may alter the composition of soil faunal communities, but consequences for ecosystem functioning are poorly understood. We constructed model grassland systems in the Ecotron controlled environment facility and manipulated soil community composition through assemblages of different animal body sizes. Plant community composition, microbial and root biomass, decomposition rate, and mycorrhizal colonization were all markedly affected. However, two key ecosystem processes, aboveground net primary productivity and net ecosystem productivity, were surprisingly resistant to these changes. We hypothesize that positive and negative faunal-mediated effects in soil communities cancel each other out, causing no net ecosystem effects.

Animals↗

Numerical analysis of grassland bacterial community structure under different land management regimens by using 16S ribosomal DNA sequence data and denaturing gradient gel electrophoresis banding patterns.

Bacterial diversity in unimproved and improved grassland soils was assessed by PCR amplification of bacterial 16S ribosomal DNA (rDNA) from directly extracted soil DNA, followed by sequencing of ~45 16S rDNA clones from each of three unimproved and three improved grassland samples (A. E. McCaig, L. A. Glover, and J. I. Prosser, Appl. Environ. Microbiol. 65:1721-1730, 1999) or by denaturing gradient gel electrophoresis (DGGE) of total amplification products. Semi-improved grassland soils were analyzed only by DGGE. No differences between communities were detected by calculation of diversity indices and similarity coefficients for clone data (possibly due to poor coverage). Differences were not observed between the diversities of individual unimproved and improved grassland DGGE profiles, although considerable spatial variation was observed among triplicate samples. Semi-improved grassland samples, however, were less diverse than the other grassland samples and had much lower within-group variation. DGGE banding profiles obtained from triplicate samples pooled prior to analysis indicated that there was less evenness in improved soils, suggesting that selection for specific bacterial groups occurred. Analysis of DGGE profiles by canonical variate analysis but not by principal-coordinate analysis, using unweighted data (considering only the presence and absence of bands) and weighted data (considering the relative intensity of each band), demonstrated that there were clear differences between grasslands, and the results were not affected by weighting of data. This study demonstrated that quantitative analysis of data obtained by community profiling methods, such as DGGE, can reveal differences between complex microbial communities.

Bacteria↗

Nitrogen cycling and community structure of proteobacterial beta-subgroup ammonia-oxidizing bacteria within polluted marine fish farm sediments.

A multidisciplinary approach was used to study the effects of pollution from a marine fish farm on nitrification rates and on the community structure of ammonia-oxidizing bacteria in the underlying sediment. Organic content, ammonium concentrations, nitrification rates, and ammonia oxidizer most-probable-number counts were determined in samples of sediment collected from beneath a fish cage and on a transect at 20 and 40 m from the cage. The data suggest that nitrogen cycling was significantly disrupted directly beneath the fish cage, with inhibition of nitrification and denitrification. Although visual examination indicated some slight changes in sediment appearance at 20 m, all other measurements were similar to those obtained at 40 m, where the sediment was considered pristine. The community structures of proteobacterial beta-subgroup ammonia-oxidizing bacteria at the sampling sites were compared by PCR amplification of 16S ribosomal DNA (rDNA), using primers which target this group. PCR products were analyzed by denaturing gradient gel electrophoresis (DGGE) and with oligonucleotide hybridization probes specific for different ammonia oxidizers. A DGGE doublet observed in PCR products from the highly polluted fish cage sediment sample was present at a lower intensity in the 20-m sample but was absent from the pristine 40-m sample station. Band migration, hybridization, and sequencing demonstrated that the doublet corresponded to a marine Nitrosomonas group which was originally observed in 16S rDNA clone libraries prepared from the same sediment samples but with different PCR primers. Our data suggest that this novel Nitrosomonas subgroup was selected for within polluted fish farm sediments and that the relative abundance of this group was influenced by the extent of pollution.

Ammonia↗

Molecular analysis of bacterial community structure and diversity in unimproved and improved upland grass pastures.

Bacterial community structure and diversity in rhizospheres in two types of grassland, distinguished by both plant species and fertilization regimen, were assessed by performing a 16S ribosomal DNA (rDNA) sequence analysis of DNAs extracted from triplicate soil plots. PCR products were cloned, and 45 to 48 clones from each of the six libraries were partially sequenced. Phylogenetic analysis of the resultant 275 clone sequences indicated that there was considerable variation in abundance in replicate unfertilized, unimproved soil samples and fertilized, improved soil samples but that there were no significant differences in the abundance of any phylogenetic group. Several clone sequences were identical in the 16S rDNA region analyzed, and the clones comprised eight pairs of duplicate clones and two sets of triplicate clones. Many clones were found to be most closely related to environmental clones obtained in other studies, although three clones were found to be identical to culturable species in databases. The clones were clustered into operational taxonomic units at a level of sequence similarity of >97% in order to quantify diversity. In all, 34 clusters containing two or more sequences were identified, and the largest group contained nine clones. A number of diversity, dominance, and evenness indices were calculated, and they all indicated that diversity was high, reflecting the low coverage of rDNA libraries achieved. Differences in diversity between sample types were not observed. Collector's curves, however, indicated that there were differences in the underlying community structures; in particular, there was reduced diversity of organisms of the alpha subdivision of the class Proteobacteria (alpha-proteobacteria) in improved soils.

Bacteria↗

Molecular diversity of soil and marine 16S rRNA gene sequences related to beta-subgroup ammonia-oxidizing bacteria.

We have conducted a preliminary phylogenetic survey of ammonia-oxidizing beta-proteobacteria, using 16S rRNA gene libraries prepared by selective PCR and DNA from acid and neutral soils and polluted and nonpolluted marine sediments. Enrichment cultures were established from samples and analyzed by PCR. Analysis of 111 partial sequences of c. 300 bases revealed that the environmental sequences formed seven clusters, four of which are novel, within the phylogenetic radiation defined by cultured autotrophic ammonia oxidizers. Longer sequences from 13 cluster representatives support their phylogenetic positions relative to cultured taxa. These data suggest that known taxa may not be representative of the ammonia-oxidizing beta-proteobacteria in our samples. Our data provide further evidence that molecular and culture-based enrichment methods can select for different community members. Most enrichments contained novel Nitrosomonas-like sequences whereas novel Nitrosospira-like sequences were more common from gene libraries of soils and marine sediments. This is the first evidence for the occurrence of Nitrosospira-like strains in marine samples. Clear differences between the sequences of soil and marine sediment libraries were detected. Comparison of 16S rRNA sequences from polluted and nonpolluted sediments provided no strong evidence that the community composition was determined by the degree of pollution. Soil clone sequences fell into four clusters, each containing sequences from acid and neutral soils in varying proportions. Our data suggest that some related strains may be present in both samples, but further work is needed to resolve whether there is selection due to pH for particular sequence types.

Ammonia↗

Molecular analysis of enrichment cultures of marine ammonia oxidisers.

Marine ammonia oxidising bacteria were enriched by incubation of sea water, amended with ammonium sulphate, and subsequent subculture in liquid inorganic medium. PCR primers were designed to be specific for rDNA sequences from ammonia oxidisers belonging to the beta-sub-group of the proteobacteria. These primers were then used to amplify rRNA genes from ammonia oxidiser enrichment cultures containing heterotrophs. PCR products were recovered from all cultures in which complete ammonia oxidation occurred. Subsequent rDNA sequence analysis indicated the presence of three new lineages within the clade defined by sequences of cultured beta-sub-group ammonia oxidisers. Two of the new lineages showed moderate similarity to sequences from pure cultures of ammonia oxidisers previously isolated from marine and brackish environments. The third lineage (AEM-3) was deep branching and occupied an intermediate position between clades defined by Nitrosomonas or Nitrosospira, which were isolated from soil or sewage. The phylogenetic analysis suggests that, in enrichment cultures, the primers are specific for members of the target group, the beta-proteobacteria ammonia oxidisers. The results also indicate the presence of previously unknown ammonia oxidisers in marine samples. The approach enabled analysis of ammonia oxidiser enrichments at an early stage and without the requirement for isolation of pure cultures, significantly reducing the time required and facilitating quantitative assessment of relatedness of strains.

Ammonia↗