Literature DB >> 24831026

Comparison of droplet digital PCR and quantitative real-time PCR for examining population dynamics of bacteria in soil.

Tae Gwan Kim1, So-Yeon Jeong, Kyung-Suk Cho.   

Abstract

The newly developed droplet digital PCR (DD-PCR) has shown promise as a DNA quantification technology in medical diagnostic fields. This study evaluated the applicability of DD-PCR as a quantitative tool for soil DNA using quantitative real-time PCR (qRT-PCR) as a reference technology. Cupriavidus sp. MBT14 and Sphingopyxis sp. MD2 were used, and a primer/TaqMan probe set was designed for each (CupMBT and SphMD2, respectively). Standard curve analyses on tenfold dilution series showed that both qRT-PCR and DD-PCR exhibited excellent linearity (R (2) = 1.00) and PCR efficiency (≥92 %) across their detectable ranges. However, DD-PCR showed a tenfold greater sensitivity than qRT-PCR. MBT14 and MD2 were added to non-sterile soil at 0 ~ 5 × 10(8) and 0 ~ 5 × 10(7) cells per gram of soil, respectively (n = 5). This bacterial load test indicated that DD-PCR was more sensitive and discriminating than qRT-PCR. For instance, DD-PCR showed a gradual DNA increase from 14 to 141,160 MBT14 rDNA copies μL DNA extract(-1) as the bacterial load increased, while qRT-PCR could quantify the DNA (6,432 copies μL DNA(-1)) at ≥5 × 10(5) MBT14 per gram of soil. When temporal DNA changes were monitored for 3 weeks in the amended soils, the two technologies exhibited nearly identical changes over time. Linearity tests (y = a · x) revealed excellent quantitative agreement between the two technologies (a = 0.98, R (2) = 0.97 in the CupMBT set and a = 0.90, R (2) = 0.94 in the SphMD2 set). These results suggest that DD-PCR is a promising tool to examine temporal dynamics of microorganisms in complex environments.

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Year:  2014        PMID: 24831026     DOI: 10.1007/s00253-014-5794-4

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  16 in total

1.  Development of a droplet digital PCR assay for population analysis of aflatoxigenic and atoxigenic Aspergillus flavus mixtures in soil.

Authors:  Sui Sheng T Hua; Jeffrey D Palumbo; Dan E Parfitt; Siov Bouy L Sarreal; Teresa L O'Keeffe
Journal:  Mycotoxin Res       Date:  2018-03-26       Impact factor: 3.833

2.  Use of droplet digital PCR for estimation of fish abundance and biomass in environmental DNA surveys.

Authors:  Hideyuki Doi; Kimiko Uchii; Teruhiko Takahara; Saeko Matsuhashi; Hiroki Yamanaka; Toshifumi Minamoto
Journal:  PLoS One       Date:  2015-03-23       Impact factor: 3.240

3.  Development of a Droplet Digital Polymerase Chain Reaction for Rapid and Simultaneous Identification of Common Foodborne Pathogens in Soft Cheese.

Authors:  Paola Cremonesi; Claudia Cortimiglia; Claudia Picozzi; Giulietta Minozzi; Michela Malvisi; Mario Luini; Bianca Castiglioni
Journal:  Front Microbiol       Date:  2016-10-28       Impact factor: 5.640

4.  Blood as a route of transmission of uterine pathogens from the gut to the uterus in cows.

Authors:  Soo Jin Jeon; Federico Cunha; Achilles Vieira-Neto; Rodrigo C Bicalho; Svetlana Lima; Marcela L Bicalho; Klibs N Galvão
Journal:  Microbiome       Date:  2017-08-25       Impact factor: 14.650

Review 5.  Schrödinger's microbes: Tools for distinguishing the living from the dead in microbial ecosystems.

Authors:  Joanne B Emerson; Rachel I Adams; Clarisse M Betancourt Román; Brandon Brooks; David A Coil; Katherine Dahlhausen; Holly H Ganz; Erica M Hartmann; Tiffany Hsu; Nicholas B Justice; Ivan G Paulino-Lima; Julia C Luongo; Despoina S Lymperopoulou; Cinta Gomez-Silvan; Brooke Rothschild-Mancinelli; Melike Balk; Curtis Huttenhower; Andreas Nocker; Parag Vaishampayan; Lynn J Rothschild
Journal:  Microbiome       Date:  2017-08-16       Impact factor: 14.650

6.  Comparison of droplet digital PCR and quantitative real-time PCR in mcrA-based methanogen community analysis.

Authors:  Tae Gwan Kim; So-Yeon Jeong; Kyung-Suk Cho
Journal:  Biotechnol Rep (Amst)       Date:  2014-07-05

7.  Lignin-degrading peroxidases in white-rot fungus Trametes hirsuta 072. Absolute expression quantification of full multigene family.

Authors:  Daria V Vasina; Konstantin V Moiseenko; Tatiana V Fedorova; Tatiana V Tyazhelova
Journal:  PLoS One       Date:  2017-03-16       Impact factor: 3.240

8.  Development and evaluation of a secondary reference panel for BCR-ABL1 quantification on the International Scale.

Authors:  N C P Cross; H E White; T Ernst; L Welden; C Dietz; G Saglio; F-X Mahon; C C Wong; D Zheng; S Wong; S-S Wang; S Akiki; F Albano; H Andrikovics; J Anwar; G Balatzenko; I Bendit; J Beveridge; N Boeckx; N Cerveira; S-M Cheng; D Colomer; S Czurda; F Daraio; S Dulucq; L Eggen; H El Housni; G Gerrard; M Gniot; B Izzo; D Jacquin; J J W M Janssen; S Jeromin; T Jurcek; D-W Kim; K Machova-Polakova; J Martinez-Lopez; M McBean; S Mesanovic; G Mitterbauer-Hohendanner; H Mobtaker; M-J Mozziconacci; T Pajič; N Pallisgaard; P Panagiotidis; R D Press; Y-Z Qin; J Radich; T Sacha; T Touloumenidou; P Waits; E Wilkinson; R Zadro; M C Müller; A Hochhaus; S Branford
Journal:  Leukemia       Date:  2016-04-25       Impact factor: 11.528

Review 9.  Belowground Microbiota and the Health of Tree Crops.

Authors:  Jesús Mercado-Blanco; Isabel Abrantes; Anna Barra Caracciolo; Annamaria Bevivino; Aurelio Ciancio; Paola Grenni; Katarzyna Hrynkiewicz; László Kredics; Diogo N Proença
Journal:  Front Microbiol       Date:  2018-06-05       Impact factor: 5.640

10.  How to Count Our Microbes? The Effect of Different Quantitative Microbiome Profiling Approaches.

Authors:  Gianluca Galazzo; Niels van Best; Birke J Benedikter; Kevin Janssen; Liene Bervoets; Christel Driessen; Melissa Oomen; Mayk Lucchesi; Pascalle H van Eijck; Heike E F Becker; Mathias W Hornef; Paul H Savelkoul; Frank R M Stassen; Petra F Wolffs; John Penders
Journal:  Front Cell Infect Microbiol       Date:  2020-08-07       Impact factor: 5.293

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