Literature DB >> 10441703

Prokaryotic Genome Size and SSU rDNA Copy Number: Estimation of Microbial Relative Abundance from a Mixed Population.

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Abstract

> Abstract Determination of the relative abundance of a specific prokaryote in an environmental sample is of major interest in applied and environmental microbiology. Relative abundance can be calculated using knowledge of SSU rDNA copy number, amount of SSU rDNA in the sample, and a weighted average estimate of the genome sizes for organisms in the original sample. By surveying the literature, we provide estimates of genome size and SSU rDNA copy number for 303 and 101 prokaryotes, respectively. This compilation can be used to make reasonable estimates for a wide range of organisms in the calculation of relative abundance. A statistical analysis suggests that no correlation exists between genome size and SSU rDNA copy number. A phylogenetic analysis is used to offer insights into the evolution of both genome size and SSU rDNA copy number.http://link.springer-ny.com/link/service/journals/00248/bibs/38n2p93.html

Year:  1999        PMID: 10441703     DOI: 10.1007/s002489900162

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  82 in total

1.  rrndb: the Ribosomal RNA Operon Copy Number Database.

Authors:  J A Klappenbach; P R Saxman; J R Cole; T M Schmidt
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Succession of microbial communities during hot composting as detected by PCR-single-strand-conformation polymorphism-based genetic profiles of small-subunit rRNA genes.

Authors:  S Peters; S Koschinsky; F Schwieger; C C Tebbe
Journal:  Appl Environ Microbiol       Date:  2000-03       Impact factor: 4.792

3.  Sequencing bands of ribosomal intergenic spacer analysis fingerprints for characterization and microscale distribution of soil bacterium populations responding to mercury spiking.

Authors:  L Ranjard; E Brothier; S Nazaret
Journal:  Appl Environ Microbiol       Date:  2000-12       Impact factor: 4.792

4.  Quantitative analysis of small-subunit rRNA genes in mixed microbial populations via 5'-nuclease assays.

Authors:  M T Suzuki; L T Taylor; E F DeLong
Journal:  Appl Environ Microbiol       Date:  2000-11       Impact factor: 4.792

5.  rpoB-based microbial community analysis avoids limitations inherent in 16S rRNA gene intraspecies heterogeneity.

Authors:  I Dahllöf; H Baillie; S Kjelleberg
Journal:  Appl Environ Microbiol       Date:  2000-08       Impact factor: 4.792

6.  Comparative genomic analysis of archaeal genotypic variants in a single population and in two different oceanic provinces.

Authors:  Oded Béjà; Eugene V Koonin; L Aravind; Lance T Taylor; Heidi Seitz; Jefferey L Stein; Daniel C Bensen; Robert A Feldman; Ronald V Swanson; Edward F DeLong
Journal:  Appl Environ Microbiol       Date:  2002-01       Impact factor: 4.792

7.  Optimization of annealing temperature to reduce bias caused by a primer mismatch in multitemplate PCR.

Authors:  K Ishii; M Fukui
Journal:  Appl Environ Microbiol       Date:  2001-08       Impact factor: 4.792

8.  Population structure and abundance of arsenite-oxidizing bacteria along an arsenic pollution gradient in waters of the upper isle River Basin, France.

Authors:  Marianne Quéméneur; Aurélie Cébron; Patrick Billard; Fabienne Battaglia-Brunet; Francis Garrido; Corinne Leyval; Catherine Joulian
Journal:  Appl Environ Microbiol       Date:  2010-05-07       Impact factor: 4.792

9.  Evaluation of PCR amplification bias by terminal restriction fragment length polymorphism analysis of small-subunit rRNA and mcrA genes by using defined template mixtures of methanogenic pure cultures and soil DNA extracts.

Authors:  Tillmann Lueders; Michael W Friedrich
Journal:  Appl Environ Microbiol       Date:  2003-01       Impact factor: 4.792

10.  Divergence and redundancy of 16S rRNA sequences in genomes with multiple rrn operons.

Authors:  Silvia G Acinas; Luisa A Marcelino; Vanja Klepac-Ceraj; Martin F Polz
Journal:  J Bacteriol       Date:  2004-05       Impact factor: 3.490

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