rpoB-based microbial community analysis avoids limitations inherent in 16SrRNA gene intraspecies heterogeneity

Contemporary. microbial community analysis frequently involves PCR-amplifie d sequences of the 16S rRNA gene (rDNA). However, this technology carries t he inherent problem of heterogeneity between copies of the 165 rDNA in many species. rls an alternative to 165 rDNA sequences in community analysis, w e employed the gene for the RNA polymerase beta subunit (rpoB), which appea rs to exist in one copy only in bacteria, In the present study, the frequen cy of 16S rDNA heterogeneity in bacteria isolated from the marine environme nt was assessed using bacterial isolates from the red alga Delisea pulchra and from the surface of a marine rock. Ten strains commonly used in our lab oratory were also assessed for the degree of heterogeneity between the copi es of 16S rDNA and sere used to illustrate the effect of this heterogeneity on microbial community pattern analysis, The rock isolates and the laborat ory strains were also used to confirm nonheterogeneity of rpoB, as well as to investigate the versatility of the printers, In addition, a comparison b etween 165 rDNA and rpoB PCR-DGGE (denaturing gradient gel electrophoresis) -based community analyses was performed using a DNA mixture of nine isolate s from D. pulchra. Eight out of 14 isolates from D. pulchra, all rock isola tes, and 6 of 10 laboratory strains displayed multiple bands for 165 rDNA. when analyzed by DC;GE. There was no indication of heterogeneity for either the rock isolates or the laboratory strains when rpoB was used for PCR-DGG E analysis. Microbial community pattern analysis using 16S rDNA PCR-DGGE sh owed an overestimation of the number of laboratory strains in the sample, w hile some strains were not represented. Therefore, the 165 rDNA PCR-DGGE-ba sed community analysis was proven to be severely limited by 165 rDNA hetero geneity. The mixture of isolates from D. pulchra proved to be more accurate ly described using rpoB, compared to the 165 rDNA-based PCR-DGGE.