Improved real-time PCR estimation of gene copy number in soil extracts using an artificial reference

被引:43
作者
Daniell, T. J. [1 ]
Davidson, J. [1 ]
Alexander, C. J. [2 ]
Caul, S. [1 ]
Roberts, D. M. [1 ]
机构
[1] James Hutton Inst, Dundee DD2 5DA, Scotland
[2] Biomath & Stat Scotland, Dundee DD2 5DA, Scotland
关键词
Gene copy quantification; Internal standard; Quantitative PCR; Relative estimation; Soil ecology; AMMONIA-OXIDIZING BACTERIA; POLYMERASE-CHAIN-REACTION; DNA RECOVERY; MICROBIAL COMMUNITIES; QUANTIFICATION; POPULATIONS; DIVERSITY; BIOMASS; STRAIN; RNA;
D O I
10.1016/j.mimet.2012.07.010
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Application of polymerase chain reaction (PCR) techniques has developed significantly from a qualitative technology to include powerful quantitative technologies, including real-time PCR, which are regularly used for detection and quantification of nucleic acids in many settings, including community analysis where culture-based techniques are not suitable. Many applications of real-time PCR involve absolute quantification which is susceptible to inaccuracies caused by losses during DNA extraction or inhibition caused by co-extracted compounds. We present here an improvement to this approach involving the addition of an artificial internal standard, prior to nucleic acid extraction. The standard was generated by in-situ mutagenesis from an E. coli template to ensure it both did not amplify with bacterial primers used for quantification and was short enough to minimise possible interference with other analyses. By estimating gene target copies by relative abundance, this approach accounts for both loss during extraction and inhibition effects. We present a novel application of relative real time PCR, using the internal standard as a reference, allowing accurate estimation of total bacterial populations both within and across a wide range of soils and demonstrate its improvement over absolute quantification by comparison of both approaches to ester linked fatty acid analysis of the same soils. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:38 / 44
页数:7
相关论文
共 34 条
[1]   PHYSIOLOGICAL METHOD FOR QUANTITATIVE MEASUREMENT OF MICROBIAL BIOMASS IN SOILS [J].
ANDERSON, JPE ;
DOMSCH, KH .
SOIL BIOLOGY & BIOCHEMISTRY, 1978, 10 (03) :215-221
[2]  
[Anonymous], 1998, Applied Regression Analysis
[3]   Death of the Escherichia coli K-12 strain W3110 in soil and water [J].
Bogosian, G ;
Sammons, LE ;
Morris, PJL ;
ONeil, JP ;
Heitkamp, MA ;
Weber, DB .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 1996, 62 (11) :4114-4120
[4]   Why the need for qPCR publication guidelines?-The case for MIQE [J].
Bustin, Stephen A. .
METHODS, 2010, 50 (04) :217-226
[5]   Estimating prokaryotic diversity and its limits [J].
Curtis, TP ;
Sloan, WT ;
Scannell, JW .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 (16) :10494-10499
[6]   Nitric oxide reductase-targeted real-time PCR quantification of denitrifier populations in soil [J].
Dandie, C. E. ;
Miller, M. N. ;
Burton, D. L. ;
Zebarth, B. J. ;
Trevors, J. T. ;
Goyer, C. .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2007, 73 (13) :4250-4258
[7]   Long-term effect of re-vegetation on the microbial community of a severely eroded soil in sub-tropical China [J].
Deng, Huan ;
Zhang, Bin ;
Yin, Rui ;
Wang, Hui-li ;
Mitchell, Susan M. ;
Griffiths, Bryan S. ;
Daniell, Timothy John .
PLANT AND SOIL, 2010, 328 (1-2) :447-458
[8]  
Frostegard A, 1996, BIOL FERT SOILS, V22, P59, DOI 10.1007/BF00384433
[9]   Microbial and microfaunal community structure in cropping systems with genetically modified plants [J].
Griffiths, Bryan S. ;
Caul, Sandra ;
Thompson, Jacqueline ;
Birch, A. Nicholas E. ;
Cortet, Jerome ;
Andersen, Mathias N. ;
Krogh, Paul Henning .
PEDOBIOLOGIA, 2007, 51 (03) :195-206
[10]   Quantification of ammonia-oxidizing bacteria in arable soil by real-time PCR [J].
Hermansson, A ;
Lindgren, PE .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2001, 67 (02) :972-976