the effect of input dna copy number on genotype call and characterising snp markers in the humpback whale genome using a nanofluidic array输入dna拷贝数的影响基因型电话,描述在驼背鲸基因组snp标记使用奈米流体数组.pdfVIP
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the effect of input dna copy number on genotype call and characterising snp markers in the humpback whale genome using a nanofluidic array输入dna拷贝数的影响基因型电话,描述在驼背鲸基因组snp标记使用奈米流体数组
The Effect of Input DNA Copy Number on Genotype Call and Characterising SNP Markers in the Humpback Whale Genome Using a Nanofluidic Array 1 2 2 2 1 Somanath Bhat *, Andrea M. Polanowski , Mike C. Double , Simon N. Jarman , Kerry R. Emslie 1 National Measurement Institute, Lindfield, New South Wales, Australia, 2 Autralian Marine Mammal Centre, Australian Antarctic Division, Kingston, Tasmania, Australia Abstract Recent advances in nanofluidic technologies have enabled the use of Integrated Fluidic Circuits (IFCs) for high-throughput Single Nucleotide Polymorphism (SNP) genotyping (GT). In this study, we implemented and validated a relatively low cost nanofluidic system for SNP-GT with and without Specific Target Amplification (STA). As proof of principle, we first validated the effect of input DNA copy number on genotype call rate using well characterised, digital PCR (dPCR) quantified human genomic DNA samples and then implemented the validated method to genotype 45 SNPs in the humpback whale, Megaptera novaeangliae, nuclear genome. When STA was not incorporated, for a homozygous human DNA sample, reaction chambers containing, on average 9 to 97 copies, showed 100% call rate and accuracy. Below 9 copies, the call rate decreased, and at one copy it was 40%. For a heterozygous human DNA sample, the call rate decreased from 100% to 21% when predicted copies per reaction chamber decreased from 38 copies to one copy. The tightness of genotype clusters on a scatter plot also decreased. In contrast, when the same samples were subjected to STA prior to genotyping a call rate and a call accuracy of 100% were achieved. Our results demonstrate that low input DNA copy number affects the quality of data generated, in par
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