Literature DB >> 11249026

How quantitative is quantitative PCR with respect to cell counts?

W Ludwig1, K H Schleifer.   

Abstract

Quantitative diagnostic PCR systems based upon rDNA targeted primer and probe combinations were developed for the detection of Escherichia coli, Pseudomonas aeruginosa, Pseudomonas fluorescens, Pseudomonas alcaligenes, enterococci, Staphylococcus aureus, and Staphylococcus epidermidis. Primers and probes were designed in silico using the ARB software package (TU Munich) in combination with Primer Design software of PE Applied Biosystems. Purified genomic DNA or bacterial cells of target and reference organisms were used for the evaluation of the PCR assays applying the TaqMan technique on an ABI PRISM TM 7700 Sequence Detection System (PE Applied Biosystems). Sensitive, reliable and reproducible quantification of target rDNA could be achieved applying primer-probe combinations that mediate in vitro amplification of DNA fragments smaller than 100 base pairs. Large amounts of non target DNA (1 mg per sample) remarkably affected the quantification potential of the approach resulting in an underestimation of the amounts of target DNA. One of the principal goals was to use quantitative PCR to study the correlation of gene and cell numbers depending on the growth behavior of target organisms and to explore the potential to estimate cell numbers from target DNA quantification. A clear correlation of rDNA quantification and bacterial growth was observed, however, cell numbers cannot directly be estimated from quantitative PCR data, given that the cellular genome content varies with the growth phase of the organisms. In the case of Escherichia coli the cell numbers which could be assigned to a certain number of rDNA targets varied reasonably depending upon the growth phase of batch cultures.

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Year:  2000        PMID: 11249026     DOI: 10.1016/S0723-2020(00)80030-2

Source DB:  PubMed          Journal:  Syst Appl Microbiol        ISSN: 0723-2020            Impact factor:   4.022


  57 in total

1.  Arcobacter in Lake Erie beach waters: an emerging gastrointestinal pathogen linked with human-associated fecal contamination.

Authors:  Cheonghoon Lee; Senyo Agidi; Jason W Marion; Jiyoung Lee
Journal:  Appl Environ Microbiol       Date:  2012-06-01       Impact factor: 4.792

Review 2.  Prokaryotic diversity in the Antarctic: the tip of the iceberg.

Authors:  B J Tindall
Journal:  Microb Ecol       Date:  2004-04-02       Impact factor: 4.552

3.  Use of quantitative 16S ribosomal DNA detection for diagnosis of central vascular catheter-associated bacterial infection.

Authors:  S Warwick; M Wilks; E Hennessy; J Powell-Tuck; M Small; J Sharp; M R Millar
Journal:  J Clin Microbiol       Date:  2004-04       Impact factor: 5.948

4.  Correlation between quantitative PCR and culture-based methods for measuring Enterococcus spp. over various temporal scales at three California marine beaches.

Authors:  Reagan R Converse; John F Griffith; Rachel T Noble; Richard A Haugland; Kenneth C Schiff; Stephen B Weisberg
Journal:  Appl Environ Microbiol       Date:  2011-12-16       Impact factor: 4.792

5.  Distribution of genetic marker concentrations for fecal indicator bacteria in sewage and animal feces.

Authors:  Catherine A Kelty; Manju Varma; Mano Sivaganesan; Richard A Haugland; Orin C Shanks
Journal:  Appl Environ Microbiol       Date:  2012-04-13       Impact factor: 4.792

6.  Comparison of rapid quantitative PCR-based and conventional culture-based methods for enumeration of Enterococcus spp. and Escherichia coli in recreational waters.

Authors:  Rachel T Noble; A Denene Blackwood; John F Griffith; Charles D McGee; Stephen B Weisberg
Journal:  Appl Environ Microbiol       Date:  2010-09-24       Impact factor: 4.792

7.  Viral and Bacterial Fecal Indicators in Untreated Wastewater across the Contiguous United States Exhibit Geospatial Trends.

Authors:  Asja Korajkic; Brian McMinn; Michael P Herrmann; Mano Sivaganesan; Catherine A Kelty; Pat Clinton; Maliha S Nash; Orin C Shanks
Journal:  Appl Environ Microbiol       Date:  2020-04-01       Impact factor: 4.792

8.  Molecular detection of Campylobacter spp. and fecal indicator bacteria during the northern migration of sandhill cranes (Grus canadensis) at the central Platte River.

Authors:  Jingrang Lu; Hodon Ryu; Jason Vogel; Jorge Santo Domingo; Nicholas J Ashbolt
Journal:  Appl Environ Microbiol       Date:  2013-04-12       Impact factor: 4.792

9.  Detection and quantification of Geobacter lovleyi strain SZ: implications for bioremediation at tetrachloroethene- and uranium-impacted sites.

Authors:  Benjamin K Amos; Youlboong Sung; Kelly E Fletcher; Terry J Gentry; Wei-Min Wu; Craig S Criddle; Jizhong Zhou; Frank E Löffler
Journal:  Appl Environ Microbiol       Date:  2007-09-07       Impact factor: 4.792

10.  Distribution and Differential Survival of Traditional and Alternative Indicators of Fecal Pollution at Freshwater Beaches.

Authors:  Danielle D Cloutier; Sandra L McLellan
Journal:  Appl Environ Microbiol       Date:  2017-02-01       Impact factor: 4.792

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