| Literature DB >> 25635817 |
Androniki Psifidi1, Chrysostomos I Dovas2, Georgios Bramis3, Thomai Lazou4, Claire L Russel5, Georgios Arsenos3, Georgios Banos6.
Abstract
Over the recent years, next generation sequencing and microarray technologies have revolutionized scientific research with their applications to high-throughput analysis of biological systems. Isolation of high quantities of pure, intact, double stranded, highly concentrated, not contaminated genomic DNA is prerequisite for successful and reliable large scale genotyping analysis. High quantities of pure DNA are also required for the creation of DNA-banks. In the present study, eleven different DNA extraction procedures, including phenol-chloroform, silica and magnetic beads based extractions, were examined to ascertain their relative effectiveness for extracting DNA from ovine blood samples. The quality and quantity of the differentially extracted DNA was subsequently assessed by spectrophotometric measurements, Qubit measurements, real-time PCR amplifications and gel electrophoresis. Processing time, intensity of labor and cost for each method were also evaluated. Results revealed significant differences among the eleven procedures and only four of the methods yielded satisfactory outputs. These four methods, comprising three modified silica based commercial kits (Modified Blood, Modified Tissue, Modified Dx kits) and an in-house developed magnetic beads based protocol, were most appropriate for extracting high quality and quantity DNA suitable for large-scale microarray genotyping and also for long-term DNA storage as demonstrated by their successful application to 600 individuals.Entities:
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Year: 2015 PMID: 25635817 PMCID: PMC4312062 DOI: 10.1371/journal.pone.0115960
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Eleven DNA extraction methods and descriptive statistics of the measurements used to evaluate the respective quality of DNA extracted.
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| 1.76 | 1.6–1.8 | 0.68 | 1.83 | 1.0–2.1 | 0.30 | 29.65 | 28.8–30.4 | 0.55 |
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| 1.69 | 1.2–1.8 | 0.21 | 1.30 | 1.1–1.9 | 0.53 | 29.64 | 28.7–30.5 | 0.63 |
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| 1.70 | 1.3–1.8 | 0.12 | 1.35 | 0. 9–1.8 | 0.32 | 29.68 | 28.6–30.6 | 0.62 |
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| 1.94 | 1.8–2.0 | 0.06 | 2.14 | 1.9–2.2 | 0.11 | 29.68 | 28.7–30.2 | 0.57 |
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| 1.80 | 1.7–1.9 | 0.07 | 2.13 | 1.6–2.5 | 0.30 | 29.50 | 28.7–30.2 | 0.60 |
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| 1.87 | 1.7–1.9 | 0.05 | 2.30 | 1.9–2.2 | 0.19 | 29.57 | 28.7–30.2 | 0.56 |
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| 1.86 | 1.7–2.0 | 0.07 | 2.13 | 1.6–2.4 | 0.30 | 28.83 | 29.5–30.3 | 0.56 |
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| 1.82 | 1.6–1.9 | 0.08 | 2.11 | 1.8–2.3 | 0.15 | 30.20 | 28.4–30.5 | 0.72 |
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| 1.67 | 1.5–1.8 | 0.11 | 2.04 | 1.3–2.3 | 0.28 | 30.20 | 26.7–32.7 | 1.39 |
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| 1.47 | 1.3–1.7 | 0.12 | 0.75 | 0.6–1.2 | 0.14 | 30.12 | 28.7–30.4 | 0.62 |
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| 1.72 | 1.6–1.9 | 0.09 | 1.88 | 1.7–2.1 | 0.13 | 30.07 | 28.8–30.3 | 0.55 |
* Volume, DNA source and technology used are in parentheses; WB = whole blood, BC = buffy coat, SC = silica column, B = beads, FC = Phenol-Chloroform extraction
Descriptive statistics of the measurements used to evaluate quantity of DNA extracted by 11 different methods.
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| 55.6 | 17–102 | 19 | 5.56 | 1.7–10 | 2 | 24.7 | 23.0–27.4 | 1.2 |
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| 112 | 18–377 | 102 | 22.5 | 4–75 | 20 | 23.9 | 22.2–28.1 | 2.6 |
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| 163 | 61–322 | 71 | 326 | 122–644 | 143 | 23.2 | 21.4–25.7 | 1.2 |
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| 64.1 | 24–119 | 32 | 12.8 | 3.72 | 6 | 23.2 | 21.8–26.3 | 1.4 |
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| 49.2 | 20–131 | 37 | 7.38 | 3–19 | 5 | 24.5 | 22.9–27.5 | 1.3 |
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| 103 | 52–172 | 46 | 15.5 | 10–26 | 7 | 24.0 | 22.3–25.4 | 0.9 |
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| 104 | 61–360 | 67 | 21.6 | 12–72 | 13 | 23.3 | 19.0–26.2 | 1.7 |
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| 231 | 61–768 | 185 | 46.2 | 12–153 | 37 | 23.1 | 21.9–24.7 | 0.8 |
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| 260 | 4–585 | 154 | 13 | 0.2–29 | 7 | 24.5 | 21.7–29.3 | 2.5 |
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| 7.1 | 3–10 | 2 | 1.85 | 0.7–4 | 1 | 26.0 | 23.7–29.1 | 2.0 |
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| 288 | 141–592 | 129 | 346 | 169–710 | 155 | 23.3 | 21.6–26.6 | 1.4 |
Statistical comparison of 11 genomic DNA extraction methods applied to 16 animals.
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| 1.74 (0.02)[ | 1.79 (0.07)[ | 29.61 (0.17)[ | 56 (22.5)[ | 5.6 (15.9)[ | 24.95 (0.41)[ |
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| 1.63 (0.02)[ | 1.31 (0.07)[ | 29.60 (0.17)[ | 118 (22.5)[ | 23.6 (15.9)[ | 24.82 (0.41)[ |
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| 1.68 (0.02)[ | 1.30 (0.07)[ | 29.66 (0.17)[ | 162 (22.5)[ | 324.3 (15.9)[ | 23.42 (0.41)[ |
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| 1.94 (0.02)[ | 2.10 (0.07)[ | 29.60 (0.17)[ | 63 (22.5)[ | 12.6 (15.9)[ | 23.95 (0.41)[ |
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| 1.79 (0.02)[ | 2.10 (0.07)[ | 29.49 (0.17)[ | 59 (22.5)[ | 8.9 (15.9)[ | 24.77 (0.41)[ |
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| 1.84 (0.02)[ | 2.18 (0.07)[ | 29.55 (0.17)[ | 93 (22.5)[ | 18. 8 (15.9)[ | 23.73 (0.42)[ |
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| 1.85 (0.02)[ | 2.14 (0.07)[ | 29.57 (0.17)[ | 120 (22.5)[ | 24.6 (16.4)[ | 23.23 (0.41)[ |
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| 1.80 (0.03)[ | 2.08 (0.08)[ | 29.65 (0.18)[ | 289 (25.9)[ | 57.8 (18.4)[ | 22.95 (0.46)[ |
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| 1.65 (0.03)[ | 1.98 (0.08)[ | 29.74 (0.18)[ | 258 (25.9)[ | 12.8 (18.4)[ | 24.69 (0.48)[ |
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| 1.49 (0.03)[ | 0.78 (0.08)[ | 29.64 (0.18)[ | 7.7 (25.9)[ | 1.8 (18.4)[ | 26.36 (0.46)[ |
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| 1.74 (0.03)[ | 1.87 (0.08)[ | 29.62 (0.18)[ | 302 (25.9)[ | 362.7 (18.4)[ | 23.32 (0.46)[ |
Two spectrophotometer measurements (OD260/280 and OD260/230 nm) and real-time PCR results of C. coli spiked samples (Ct values) used to assess DNA purity and PCR inhibitors respectively. DNA concentration was assessed with qubit measurements and real-time PCR targeting the PRNP gene (Ct values); results are marginal means with standard errors in parentheses.
1Higher values are desirable.
2Lower values are desirable.
a,b,c,d,e Comparison of values within each column; values with the same superscript are not statistically different (P>0.05) from each other but they differ significantly (P<0.05) from values with different superscript.
Figure 1Real-time PCR amplification plot of the gly-A gene, from Campylobacter coli spiked extracted samples from sheep and the controls containing only the Campylobacter coli DNA spike.
Results from one sample with higher Ct value, extracted with the Phenol-Chloroform protocol is also shown indicating the presence of inhibitors.
Figure 2Representative results from gel electrophoresis analysis of genomic DNA from two different ovine blood samples extracted by eleven methods.
Charge Switch gDNA Mini Tissue (lanes 1, 2), Nucleospin Blood (lanes 3, 4), Nucleospin Blood-Buffy Coat (lanes 5, 6), Modified Blood (lanes 7, 8), Nucleospin Tissue-Buffy Coat (lanes 9, 10), Modified Tissue (lanes 11, 12), Modified Dx (lanes 13, 14), Nucleospin Blood XL (lanes 15, 16), Phenol-Chloroform (lanes 17, 18), In-house (lanes 19, 20), Nucleospin Blood L (lanes 21, 22), M molecular weight marker l DNA/Hind III digest.
Assessment of consumables cost per sample and process duration of 11 DNA extraction methods.
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| 1.15 h | 2.8 |
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| 2.5 h | 9.3 |
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| 2.5 h | 18.45 |
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| 3 h | 2.8 |
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| 3 h | 3.8 |
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| 3.15 h | 3.0 |
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| 3.15 h | 4.0 |
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| 3.15 h | 3.9 |
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| 3 days | 2.5 |
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| 2.5 h | 6.4 |
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| 2.5 h | 2.8 |
Figure 3Representative results from gel electrophoresis analysis of genomic DNA from thirty different ovine blood samples extracted by four methods.
Modified Blood (lanes 1 to 8), Modified Tissue (lanes 9 to 15), Modified Dx (lanes16 to 22), In-house (lanes 23 to 30), M molecular weight marker l DNA/Hind III digest.
Statistical comparison of four genomic DNA extraction methods based on spectrophotometer measurements (OD260/280nm, OD260/230nm), DNA concentration and Total DNA yield; results are marginal means with standard errors in parentheses pertaining to 600 animals.
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| 1.85 (0.01)[ | 2.19 (0.03)[ | 218 (14)[ | 43 (4.9)[ |
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| 1.90 (0.01)[ | 2.40 (0.03)[ | 248 (14)[ | 49 (5.0) [ |
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| 1.89 (0.01)[ | 2.35 (0.02)[ | 310 (08)[ | 62 (2.9)[ |
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| 1.85 (0.01)[ | 2.17 (0.04)[ | 207 (17)[ | 237 (6.2)[ |
a,b Comparison of values within each column; values with the same superscript are not statistically different (P>0.05) from each other but they differ significantly (P<0.05) from values with different superscript.
Statistical comparison of four genomic DNA extraction methods applied to 600 animals, based on microarray genotyping quality using average call rates across all SNP and individual SNP call rates; marginal means with standard errors in parentheses.
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| 0.775 (0.003)[ | 0.775 (0.0012)[ |
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| 0.775 (0.003)[ | 0.775 (0.0013)[ |
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| 0.775 (0.003)[ | 0.775 (0.0008)[ |
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| 0.777 (0.004)[ | 0.777 (0.0016)[ |
a Comparison of values within each column; values with the same superscript are not statistically different (P>0.05) from each other.