期刊论文详细信息
BMC Biotechnology
Development of a versatile TaqMan™ real-time quantitative PCR (RT-qPCR) compliant anchor sequence to quantify bacterial gene transcripts from RNA samples containing carryover genomic DNA
Vijay J Gadkar1  Martin Filion1 
[1] Department of Biology, Université de Moncton, 18 Antonine-Maillet, Moncton, NB, E1A 3E9, Canada
关键词: phlD;    hcnC;    myIC;    Pseudomonas spp;    Anchor primed PCR;    RNA;    DNase I;    Real-time quantitative PCR (RT-qPCR);   
Others  :  1131154
DOI  :  10.1186/1472-6750-13-7
 received in 2012-09-07, accepted in 2013-01-22,  发布年份 2013
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【 摘 要 】

Background

In bacterial systems, the sequence congruence of genomic DNA (gDNA) and cDNA obtained following reverse transcription of RNA, makes gDNA an automatic target for qPCR primers. This could lead to aberrant gene expression quantification. This is why a rigorous treatment of bacterial RNA with DNase I is usually required to remove any traces of carryover gDNA. As bacterial RNA is known to be extremely labile, any procedure that affects RNA yield, such as DNase I treatment, can be logically assumed to also influence detection and quantification of gene transcripts, leading to either an underestimation or no detection at all. To address such problems, we have developed a novel and versatile TaqMan RT-qPCR compliant anchor sequence (MYT4) for quantifying bacterial gene transcripts without the need for DNase I treatment.

Results

A non-genomic anchor sequence, henceforth referred to as MYT4 was designed using a synthetic DNA sequence called myIC, previously shown to share no significant homology to any known accession in the GenBank database. The sequence characteristic of MYT4 was kept within the design parameters required for the TaqMan RT-qPCR platform. The specificity and robustness of the novel MYT4 sequence was validated on RNA extracted from the bacterium Pseudomonas sp. LBUM300, grown under liquid culture and spiked soil conditions. Two transcripts, namely hcnC and phlD, were quantified from these two experimental systems. Using the MYT4 anchor, no RT-qPCR signal was detected from non-DNase I treated RNA, while strong signals were obtained using conventional reverse primers and RT-qPCR, indicating the presence of carryover gDNA in the RNA, extracted from either liquid culture or soil. Serial treatment of the RNA samples with DNase I (required to achieve absolute gDNA elimination) resulted in 50-70% loss of RNA which, when submitted to conventional RT-qPCR, significantly altered the transcript numbers detected when compared to the MYT4-based approach.

Conclusions

Implementation of the versatile approach described in this study, which can be “retrofitted” to any existing TaqMan RT-qPCR system, should contribute to reducing the time and lowering the costs required to perform adequate bacterial RNA purification for downstream quantification of gene transcripts.

【 授权许可】

   
2013 Gadkar and Filion; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Gadkar VJ, Filion M: Studying microbial gene expression in complex environmental matrices using quantitative real time PCR. In Quantitative Real-time PCR in Applied Microbiology. Edited by Filion M. Norfolk, UK: Caister Academic Press; 2012:163-180.
  • [2]Sharkey FH, Banat IM, Marchant R: Detection and quantification of gene expression in environmental bacteriology. Appl Environ Microbiol 2004, 70:3795-3806.
  • [3]Bustin SA: Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays. J Mol Endocrinol 2000, 25:169-193.
  • [4]Bustin SA, Mueller R: Real-time reverse transcription PCR (qRT-PCR) and its potential use in clinical diagnosis. Clin Sci 2005, 109:365-379.
  • [5]Bustin SA, Benes V, Nolan T, Pfaffl MW: Quantitative real-time RT-PCR - a perspective. J Mol Endocrinol 2005, 34:597-601.
  • [6]Borst A, Box AT, Fluit AC: False-positive results and contamination in nucleic acid amplification assays: suggestions for a prevent and destroy strategy. Eur J Clin Microbiol Infect Dis 2004, 23:289-299.
  • [7]Bustin SA: Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems. J Mol Endocrinol 2002, 29:23-39.
  • [8]Kabir S, Rajendran N, Urushigawa Y, Itoh K: Interference of contaminating DNA in the quantification of a toluene-induced tod gene in Pseudomonas putida. J Biosci Bioeng 2003, 96:250-256.
  • [9]Dilworth DD, McCarrey JR: Single-step elimination of contaminating DNA prior to reverse transcriptase PCR. PCR Meth Appl 1992, 1:279-282.
  • [10]Grillo M, Margolis FL: Use of reverse transcriptase polymerase chain reaction to monitor expression of intronless genes. Biotechniques 1990, 9:266-268.
  • [11]Rump LV, Asamoah B, Gonzalez-Escalona N: Comparison of commercial RNA extraction kits for preparation of DNA-free total RNA from Salmonella cells. BMC Res Notes 2010, 3:211. BioMed Central Full Text
  • [12]Vanecko S, Laskowski MS: Studies of the specificity of deoxyribonuclease I. II. Hydrolysis of oligonucleotides carrying a monoesterified phosphate on carbon 3′. J Biol Chem 1961, 236:1135-1140.
  • [13]Huang Z, Fasco MJ, Kaminsky LS: Optimization of DNase I removal of contaminating DNA from RNA for use in quantitative RNA-PCR. Biotechniques 1996, 20:1012-1020.
  • [14]DeCoste NJ, Gadkar VJ, Filion M: Relative and absolute quantitative real-time PCR-based quantifications of hcnC and phlD gene transcripts in natural soil spiked with Pseudomonas sp. strain LBUM300. Appl Environ Microbiol 2011, 77:41-47.
  • [15]Jahn CE, Charkowski AO, Willis DK: Evaluation of isolation methods and RNA integrity for bacterial RNA quantitation. J Microbiol Methods 2008, 75:318-324.
  • [16]Novinscak A, Filion M: Effect of soil clay content on RNA isolation and on detection and quantification of bacterial gene transcripts in soil by quantitative reverse transcription-PCR. Appl Environ Microbiol 2011, 77:6249-6252.
  • [17]Paulin MM, Novinscak A, St-Arnaud M, Goyer C, DeCoste NJ, Privé J-P, Owen J, Filion M: Transcriptional activity of antifungal metabolite-encoding genes phlD and hcnBC in Pseudomonas spp. using qRT-PCR. FEMS Microbiol Ecol 2009, 68:212-222.
  • [18]Chomczynski P, Sacchi N: Single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction. Anal Biochem 1987, 162:156-159.
  • [19]Kitlinska J, Wojcierowski J: RNA isolation from solid tumor tissue. Anal Biochem 1995, 228:170-172.
  • [20]Takayama K, Kjelleberg SA: The role of RNA stability during bacterial stress responses and starvation. Environ Microbiol 2000, 2:355-365.
  • [21]Shuldiner AR, Nirula A, Roth J: RNA template-specific polymerase chain reaction (RS-PCR): a novel strategy to reduce dramatically false positives. Gene 1990, 91:139-142.
  • [22]Shuldiner AR, Tanner K, Moore CA, Roth J: RNA template-specific PCR: an improved method that dramatically reduces false positives in RT-PCR. Biotechniques 1991, 11:760-763.
  • [23]Smith RD, Ogden CW, Penny MA: Exclusive amplification of cDNA template (EXACT) RT-PCR to avoid amplifying contaminating genomic pseudogenes. Biotechniques 2001, 31:776-780.
  • [24]Deer DM, Lampel KA, González-Escalona N: A versatile internal control for use as DNA in real-time PCR and as RNA in real-time reverse transcription PCR assays. Lett Appl Microbiol 2010, 50:366-372.
  • [25]González-Escalona N, Hammack TS, Russel M, Jacobson AP, De Jesús AJ, Brown EW, Lampel KA: Detection of live Salmonella sp. cells in produce by a TaqMan-Based quantitative reverse transcriptase real-time PCR targeting invA mRNA. Appl Environ Microbiol 2009, 75:3714-3720.
  • [26]DeCoste NJ, Gadkar VJ, Filion M: Verticillium dahliae alters Pseudomonas spp. populations and HCN gene expression in the rhizosphere of strawberry. Can J Microbiol 2010, 56:906-915.
  • [27]Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ: Basic local alignment search tool. J Mol Biol 1990, 215:403-410.
  • [28]Bürgmann H, Widmer F, Sigler WV, Zeyer J: mRNA extraction and reverse transcription-PCR protocol for detection of nifH gene expression by Azotobacter vinelandii in soil. Appl Environ Microbiol 2003, 69:1928-1935.
  • [29]Schutte BC, Ranade K, Pruessner J, Dracopoli N: Optimized conditions for cloning PCR products into an XcmI T-vector. Biotechniques 1997, 22:40-42.
  • [30]Taylor S, Wakem M, Dijkman G, Alsarraj M, Nguyen M: A practical approach to RT-qPCR-publishing data that conform to the MIQE guidelines. Methods 2010, 50:S1-S5.
  • [31]Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, Mueller R, Nolan T, Pfaffl MW, Shipley GL, Vandesompele J, Wittwer CT: The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem 2009, 55:611-622.
  • [32]Gerard CJ, Dell’Aringa J, Hale KA, Klump WM: A sensitive, real-time, RNA-specific PCR method for the detection of recombinant AAV-CFTR vector expression. Gene Ther 2003, 10:1744-1753.
  • [33]Hurteau GJ, Spivack SD: mRNA-specific reverse transcription-polymerase chain reaction from human tissue extracts. Anal Biochem 2002, 307:304-315.
  • [34]Lopes PF, Svensson H, Lindblad P: Generation of non-genomic oligonucleotide tag sequences for RNA template-specific PCR. BMC Biotechnol 2006, 6:31. BioMed Central Full Text
  • [35]Aguena M, Spira B: RT-PCR of long prokaryotic operon transcripts without DNase treatment. J Microbiol Methods 2003, 55:419-423.
  • [36]Brazma A, Hingamp P, Quackenbush J, Sherlock G, Spellman P, Stoeckert C, Aach J, Ansorge W, Ball CA, Causton HC, Gaasterland T, Glenisson P, Holstege FC, Kim IF, Markowitz V, Matese JC, Parkinson H, Robinson A, Sarkans U, Schulze-Kremer S, Stewart J, Taylor R, Vilo J, Vingron M: Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nat Genet 2001, 29:365-371.
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