Evidence from GC-TRFLP that bacterial communities in soil are lognormally distributed

The Species Abundance Distribution (SAD) is a fundamental property of ecological communities and the form and formation of SADs have been examined for a wide range of communities including those of microorganisms. Progress in understanding microbial SADs, however, has been limited by the remarkable...

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Veröffentlicht in:PloS one 2008-08, Vol.3 (8), p.e2910-e2910
Hauptverfasser: Doroghazi, James R, Buckley, Daniel H
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description The Species Abundance Distribution (SAD) is a fundamental property of ecological communities and the form and formation of SADs have been examined for a wide range of communities including those of microorganisms. Progress in understanding microbial SADs, however, has been limited by the remarkable diversity and vast size of microbial communities. As a result, few microbial systems have been sampled with sufficient depth to generate reliable estimates of the community SAD. We have used a novel approach to characterize the SAD of bacterial communities by coupling genomic DNA fractionation with analysis of terminal restriction fragment length polymorphisms (GC-TRFLP). Examination of a soil microbial community through GC-TRFLP revealed 731 bacterial operational taxonomic units (OTUs) that followed a lognormal distribution. To recover the same 731 OTUs through analysis of DNA sequence data is estimated to require analysis of 86,264 16S rRNA sequences. The approach is examined and validated through construction and analysis of simulated microbial communities in silico. Additional simulations performed to assess the potential effects of PCR bias show that biased amplification can cause a community whose distribution follows a power-law function to appear lognormally distributed. We also show that TRFLP analysis, in contrast to GC-TRFLP, is not able to effectively distinguish between competing SAD models. Our analysis supports use of the lognormal as the null distribution for studying the SAD of bacterial communities as for plant and animal communities.
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Progress in understanding microbial SADs, however, has been limited by the remarkable diversity and vast size of microbial communities. As a result, few microbial systems have been sampled with sufficient depth to generate reliable estimates of the community SAD. We have used a novel approach to characterize the SAD of bacterial communities by coupling genomic DNA fractionation with analysis of terminal restriction fragment length polymorphisms (GC-TRFLP). Examination of a soil microbial community through GC-TRFLP revealed 731 bacterial operational taxonomic units (OTUs) that followed a lognormal distribution. To recover the same 731 OTUs through analysis of DNA sequence data is estimated to require analysis of 86,264 16S rRNA sequences. The approach is examined and validated through construction and analysis of simulated microbial communities in silico. Additional simulations performed to assess the potential effects of PCR bias show that biased amplification can cause a community whose distribution follows a power-law function to appear lognormally distributed. We also show that TRFLP analysis, in contrast to GC-TRFLP, is not able to effectively distinguish between competing SAD models. 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Additional simulations performed to assess the potential effects of PCR bias show that biased amplification can cause a community whose distribution follows a power-law function to appear lognormally distributed. We also show that TRFLP analysis, in contrast to GC-TRFLP, is not able to effectively distinguish between competing SAD models. Our analysis supports use of the lognormal as the null distribution for studying the SAD of bacterial communities as for plant and animal communities.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>18682841</pmid><doi>10.1371/journal.pone.0002910</doi><tpages>e2910</tpages><oa>free_for_read</oa></addata></record>
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subjects Abundance
Analysis
Bacteria
Bacteria - classification
Bacteria - genetics
Bacterial Physiological Phenomena
Cloning
Computer Simulation
Deoxyribonucleic acid
DNA
DNA sequencing
Ecology/Community Ecology and Biodiversity
Ecosystem
Fractionation
Genes
Genetic polymorphisms
Genomes
Laboratories
Microbial activity
Microbiology
Microbiology/Environmental Microbiology
Microorganisms
Nucleotide sequence
Plant communities
Polymorphism, Restriction Fragment Length
RNA
RNA, Bacterial - genetics
RNA, Ribosomal, 16S - genetics
rRNA 16S
Soil Microbiology
Soil microorganisms
Soil sciences
Species Specificity
Taxonomy
title Evidence from GC-TRFLP that bacterial communities in soil are lognormally distributed
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