| Literature DB >> 22974252 |
Katie E Fowler1, Chris P Reitter, Grant A Walling, Darren K Griffin.
Abstract
BACKGROUND: The ability to transport and store DNA at room temperature in low volumes has the advantage of optimising cost, time and storage space. Blood spots on adapted filter papers are popular for this, with FTA (Flinders Technology Associates) Whatman™TM technology being one of the most recent. Plant material, plasmids, viral particles, bacteria and animal blood have been stored and transported successfully using this technology, however the method of porcine DNA extraction from FTA Whatman™TM cards is a relatively new approach, allowing nucleic acids to be ready for downstream applications such as PCR, whole genome amplification, sequencing and subsequent application to single nucleotide polymorphism microarrays has hitherto been under-explored.Entities:
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Year: 2012 PMID: 22974252 PMCID: PMC3497585 DOI: 10.1186/1756-0500-5-503
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Figure 1Schematic of fragmentation based WGA from Sigma-Aldrich, sold under the name of WGA2. Figure modified from www.sigma-aldrich.com.
Figure 2An example of capillary electrophoresis results before (graph A) and after (graph B) WGA. This confirms that no allele dropout or amplification bias occurred between the two steps as the peaks shown on the graphs are the same in both cases. In the case of amplification dropout, only one peak would be present in graph B.
Concentrations and A260/A280 for 20 samples after WGA (before amplification, concentrations too low for detection)
| 1 | 119 | 612 | 2.10 | 119 | ✓ |
| 2 | 182 | 561 | 2.06 | 182 | ✓ |
| 3 | 119, 142 | 555 | 1.88 | 119, 142 | ✓ |
| 4 | 120 | 609 | 2.14 | 121 | ✓ |
| 5 | 119, 139 | 587 | 1.84 | 119, 139 | ✓ |
| 6 | 119, 149 | 580 | 1.80 | 119, 149 | ✓ |
| 7 | 120, 140 | 521 | 1.98 | 120, 140 | ✓ |
| 8 | 119, 137 | 534 | 1.97 | 119, 137 | ✓ |
| 9 | 121, 147 | 575 | 1.62 | No peaks | X – WGA failure |
| 10 | 118, 144 | 600 | 1.85 | 118, 144 | ✓ |
| 11 | 119 | 451 | 2.01 | 120 | ✓ |
| 12 | 119, 148 | 603 | 2.03 | 119, 148 | ✓ |
| 13 | 117 | 601 | 2.14 | 118 | ✓ |
| 14 | 120, 140 | 742 | 1.98 | 120, 141 | ✓ |
| 15 | 119, 142 | 598 | 1.86 | 120, 142 | ✓ |
| 16 | 118, 140 | 561 | 1.87 | 118, 140 | ✓ |
| 17 | 119, 137 | 604 | 2.05 | 119, 137 | ✓ |
| 18 | 121, 144 | 624 | 2.14 | 144 | X – Allele drop out |
| 19 | 142 | 612 | 2.07 | 141 | ✓ |
| 20 | 119, 146 | 709 | 1.95 | 119, 146 | ✓ |
Concentrations and A26/A280 measurements for 10 samples initially and three years after the first experiment
| 1 | 612 | 2.10 | 632 | 1.97 |
| 2 | 561 | 2.06 | 704 | 2.01 |
| 3 | 555 | 1.88 | 745 | 1.91 |
| 4 | 609 | 2.14 | 784 | 2.07 |
| 5 | 587 | 1.84 | 672 | 1.85 |
| 6 | 580 | 1.80 | 691 | 1.94 |
| 7 | 521 | 1.98 | 587 | 1.98 |
| 8 | 534 | 1.97 | 521 | 2.08 |
| 9 | 575 | 1.62 | 612 | 1.85 |
| 10 | 600 | 1.85 | 528 | 2.12 |
| Mean | 573.4 | 1.92 | 647.6 | 0.98 |
| SD | 30.71 | 0.16 | 87.7 | 0.09 |
| Cv (%) | 5.35 | 8.19 | 13.55 | 4.74 |
Call rates produced from the Illumina Porcine SNP60 Genotyping BeadChip for 96 Duroc samples
| DF1 | 0.9398113 | DF33 | 0.8864012 | DL18 | 0.9231989 |
| DF2 | 0.9049336 | DF34 | 0.8883713 | DL19 | 0.7598297 |
| DF3 | 0.89525 | DF35 | 0.8968361 | DL20 | 0.7989148 |
| DF4 | 0.9002421 | DF36 | 0.9486268 | DL21 | 0.9390433 |
| DF5 | 0.9039319 | DF37 | 0.9508974 | DL22 | 0.9180065 |
| DF6 | 0.9047333 | DF38 | 0.9324318 | DL23 | 0.9143167 |
| DF7 | 0.8911929 | DF39 | 0.9125637 | DL24 | 0.931263 |
| DF8 | 0.8725603 | DF40 | 0.9184573 | DL25 | 0.9369397 |
| DF9 | 0.896235 | DF41 | 0.9150513 | DL26 | 0.9087069 |
| DF10 | 0.898055 | DF42 | 0.9167376 | DL27 | 0.8873028 |
| DF11 | 0.9493948 | DF43 | 0.917105 | DL28 | 0.8955839 |
| DF12 | 0.9276066 | DF44 | 0.5607814 | DL29 | 0.8741297 |
| DF13 | 0.9290425 | DF45 | 0.9409466 | DL30 | 0.9085566 |
| DF14 | 0.925336 | DF46 | 0.951081 | DL31 | 0.8999249 |
| DF15 | 0.9223976 | DF47 | 0.9278404 | DL32 | 0.8899741 |
| DF16 | 0.9197429 | DF48 | 0.9347191 | DL33 | 0.8869021 |
| DF17 | 0.9151515 | DL1 | 0.9212956 | DL34 | 0.9033642 |
| DF18 | 0.9077553 | DL2 | 0.9166207 | DL35 | 0.9114784 |
| DF19 | 0.9292262 | DL3 | 0.9031973 | DL36 | 0.9263545 |
| DF20 | 0.9323316 | DL5 | 0.9003757 | DL37 | 0.9229819 |
| DF21 | 0.9417815 | DL6 | 0.9007764 | DL38 | 0.9225144 |
| DF22 | 0.9224977 | DL7 | 0.8644461 | DL39 | 0.9228817 |
| DF23 | 0.9103431 | DL8 | 0.8700225 | DL40 | 0.9225311 |
| DF24 | 0.917873 | DL9 | 0.9578429 | DL41 | 0.9174055 |
| DF25 | 0.9250021 | DL10 | 0.9476584 | DL42 | 0.9159863 |
| DF26 | 0.9200768 | DL11 | 0.9445696 | DL43 | 0.8470657 |
| DF27 | 0.9235997 | DL12 | 0.9464062 | DL44 | 0.9348026 |
| DF28 | 0.8814926 | DL13 | 0.92759 | DL45 | 0.9609317 |
| DF29 | 0.8847149 | DL14 | 0.929126 | DL46 | 0.9478754 |
| DF30 | 0.9086067 | DL15 | 0.9290258 | DL48 | 0.9106603 |
| DF31 | 0.8877035 | DL16 | 0.912163 | DL49 | 0.9345021 |
| DF32 | 0.8846481 | DL17 | 0.8998581 | DL50 | 0.9391435 |
Table shows regions of the genome considered biased after whole genome amplification
| 1 | 9,948,603 | 10,128,760 | 137 |
| 1 | 18,418,830 | 18,641,391 | 115 |
| 2 | 4,278 | 9,124,477 | 163 |
| 2 | 1,632,514 | 3,559,307 | 106 |
| 2 | 73,598,562 | 106,082,295 | 125 |
| 4 | 120,957,396 | 128,105,906 | 129 |
| 7 | 48,160 | 11,045,685 | 135 |
| 7 | 58,390,175 | 64,149,907 | 135 |
| 9 | 27,950 | 7,940,294 | 118 |
| 11 | 52,003 | 6,263,717 | 141 |
| 11 | 60,971,377 | 68,843,993 | 179 |
| 14 | 137,688,899 | 148,678,088 | 185 |
| 16 | 46,422,064 | 58,631,201 | 165 |
SNP chip data were re-analysed and specific regions of the genome that consistently failed to amplify were noted. Consistent failure was considered to have occurred if there was no call for 100 animals or more.