| Literature DB >> 23071624 |
Patlolla Anuradha Reddy1, Maradani Bhavanishankar, Jyotsna Bhagavatula, Katakam Harika, Ranjeet Singh Mahla, Sisinthy Shivaji.
Abstract
BACKGROUND: Non-invasively collected samples allow a variety of genetic studies on endangered and elusive species. However due to low amplification success and high genotyping error rates fewer samples can be identified up to the individual level. Number of PCRs needed to obtain reliable genotypes also noticeably increase.Entities:
Mesh:
Substances:
Year: 2012 PMID: 23071624 PMCID: PMC3465286 DOI: 10.1371/journal.pone.0046732
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1PCR amplification of 114bp and 191bp amplicons of exon 3 of c-myc proto-oncogene using two primer sets - (a) CmycEx3-223F and CmycEx3-298R and (b) CmycEx3-71F and CmycEx3-223R respectively.
Genomic DNA samples were from Spotted deer (lanes 1 and 2), Asiatic lion (lane 3), Leopard (lane 4), Tiger (lanes 5 and 6), Barasinga (lane 7) and Sambar deer (lane 8). N - Negative control and L - 100 bp ladder.
Comparative DNA concentrations and PCR success rates of different grades of samples.
| Grade | DNA concentration in pg/µl | PCR success at twelve loci (%) | |
| qPCR | Nanodrop reading | ||
| I | >20 | 200–45,000 | 92.34 |
| II | 1–20 | 300–37,400 | 78.75 |
| III | <1 | 100–43,000 | 53.79 |
| IV | Undetectable | 150–35,000 | – |
PCR success rate and dropout per locus for different categories of DNA.
| Locus | Grade | PCR success (%) | Dropout (%) |
| F37 | I | 89 | 3 |
| II | 51 | 3 | |
| III | 46 | 22 | |
| F42 | I | 81 | 0 |
| II | 63 | 2.5 | |
| III | 37 | 17 | |
| F53 | I | 97 | 2 |
| II | 74 | 7 | |
| III | 52 | 33 | |
| Fca96 | I | 95 | 2.5 |
| II | 81 | 5 | |
| III | 58 | 13 | |
| F115 | I | 95 | 0 |
| II | 95 | 6 | |
| III | 56 | 13.5 | |
| F124 | I | 100 | 3 |
| II | 88 | 5 | |
| III | 46 | 17 | |
| F141 | I | 90 | 1 |
| II | 67 | 5 | |
| III | 32 | 12 | |
| Fca391 | I | 86 | 1 |
| II | 80 | 3 | |
| III | 57 | 12 | |
| Fca424 | I | 95 | 0 |
| II | 90 | 5 | |
| III | 68 | 11 | |
| Fca441 | I | 95 | 1.5 |
| II | 83 | 5 | |
| III | 80.5 | 7 | |
| E6 | I | 99 | 1 |
| II | 97.5 | 3 | |
| III | 72 | 12.5 | |
| E7 | I | 86 | 2 |
| II | 73 | 9.5 | |
| III | 41 | 21 |
Number of PCR replicates necessary for various grades of template DNA to obtain genotypes with high confidence (99.99% certainty).
| Grade | PCR Success (%) | Drop out (%) | PCR replications needed |
| I | 92.34 (±5.54) | 1.53 (±1.07) | 2 |
| II | 78.75 (±13.05) | 4.87 (±1.91) | 3 |
| III | 53.79 (±13.98) | 15.97 (±6.66) | 4 |
DNA concentrations of experimentally aged faecal samples estimated through quantitative PCR.
|
|
|
|
|
| 1 | 1070.9 (±645.6) | 1090.2(±813.1) | 1051.6(±525) |
| 3 | 242.7(±95.2) | 212.3(±99.9) | 273(±89.9) |
| 5 | 56.9(±28.8) | 40.3(±11.7) | 73.4(±32.3) |
| 7 | 11.9(±6.5) | 8.1(±2.8) | 15.5(±7.2) |
| 9 | 3.7(±2.8) | 2.1(±1.1) | 5.4(±3.1) |
Figure 2Graph showing DNA degradation rate in 10 faecal samples exposed to direct sunlight.
Maximum DNA degradation occurs between Day 1 and Day 3 of exposure to direct sunlight (p<0.001).
Figure 3Non linear regression graph of DNA concentrations obtained from samples stored by three preservation methods.
Non linear regression slopes for silica, ethanol and two-step methods were -2.8, -50.6 and -84.11 respectively.