Effects of DNA mass on multiple displacement whole genome amplification and genotyping performance

Background

Whole genome amplification (WGA) promises to eliminate practical molecular genetic analysis limitations associated with genomic DNA (gDNA) quantity. We evaluated the performance of multiple displacement amplification (MDA) WGA using gDNA extracted from lymphoblastoid cell lines (N = 27) with a range of starting gDNA input of 1–200 ng into the WGA reaction. Yield and composition analysis of whole genome amplified DNA (wgaDNA) was performed using three DNA quantification methods (OD, PicoGreen^® and RT-PCR). Two panels of N = 15 STR (using the AmpFlSTR^® Identifiler^® panel) and N = 49 SNP (TaqMan^®) genotyping assays were performed on each gDNA and wgaDNA sample in duplicate. gDNA and wgaDNA masses of 1, 4 and 20 ng were used in the SNP assays to evaluate the effects of DNA mass on SNP genotyping assay performance. A total of N = 6,880 STR and N = 56,448 SNP genotype attempts provided adequate power to detect differences in STR and SNP genotyping performance between gDNA and wgaDNA, and among wgaDNA produced from a range of gDNA templates inputs.

Results

The proportion of double-stranded wgaDNA and human-specific PCR amplifiable wgaDNA increased with increased gDNA input into the WGA reaction. Increased amounts of gDNA input into the WGA reaction improved wgaDNA genotyping performance. Genotype completion or genotype concordance rates of wgaDNA produced from all gDNA input levels were observed to be reduced compared to gDNA, although the reduction was not always statistically significant. Reduced wgaDNA genotyping performance was primarily due to the increased variance of allelic amplification, resulting in loss of heterozygosity or increased undetermined genotypes. MDA WGA produces wgaDNA from no template control samples; such samples exhibited substantial false-positive genotyping rates.

Conclusion

The amount of gDNA input into the MDA WGA reaction is a critical determinant of genotyping performance of wgaDNA. At least 10 ng of lymphoblastoid gDNA input into MDA WGA is required to obtain wgaDNA TaqMan^® SNP assay genotyping performance equivalent to that of gDNA. Over 100 ng of lymphoblastoid gDNA input into MDA WGA is required to obtain optimal STR genotyping performance using the AmpFlSTR^® Identifiler^® panel from wgaDNA equivalent to that of gDNA.

     

Whole genome amplification of buccal cytobrush DNA collected for molecular epidemiology studies

Abstract

When cytobrush buccal cell samples have been collected as a genomic DNA (gDNA) source for an epidemiological study, whole genome amplification (WGA) can be critical to maintain sufficient DNA for genotyping. We evaluated REPLI-g? WGA using gDNA from two paired cytobrushes (cytobush ‘A’ kept in a cell lysis buffer, and ‘B’ dried and kept at room temperature for 3 days, and frozen until DNA extraction) in a pilot study (n=21), and from 144 samples collected by mail in a breast cancer study. WGA success was assessed as the per cent completion/concordance of STR/SNP genotypes. Locus amplification bias was assessed using quantitative PCR of 23 human loci. The pilot study showed > 98% completion but low genotype concordance between cytobrush wgaDNA and paired blood gDNA (82% and 84% for cytobrushes A and B, respectively). Substantial amplification bias was observed with significantly lower human gDNA amplification from cytobrush B than A. Using cytobrush gDNA samples from the breast cancer study (n =20), an independent laboratory demonstrated that increasing template gDNA to the REPLI-g reaction improved genotype performance for 49 SNPs; however, average completion and concordance remained below 90%. To reduce genotype misclassification when cytobrush wgaDNA is used, inclusion of paired gDNA/wgaDNA and/or duplicate wgaDNA samples is critical to monitor data quality.     

Whole genome amplification of buccal cytobrush DNA collected for molecular epidemiology studies.

When cytobrush buccal cell samples have been collected as a genomic DNA (gDNA) source for an epidemiological study, whole genome amplification (WGA) can be critical to maintain sufficient DNA for genotyping. We evaluated REPLI-g WGA using gDNA from two paired cytobrushes (cytobush 'A' kept in a cell lysis buffer, and 'B' dried and kept at room temperature for 3 days, and frozen until DNA extraction) in a pilot study (n=21), and from 144 samples collected by mail in a breast cancer study. WGA success was assessed as the per cent completion/concordance of STR/SNP genotypes. Locus amplification bias was assessed using quantitative PCR of 23 human loci. The pilot study showed > 98% completion but low genotype concordance between cytobrush wgaDNA and paired blood gDNA (82% and 84% for cytobrushes A and B, respectively). Substantial amplification bias was observed with significantly lower human gDNA amplification from cytobrush B than A. Using cytobrush gDNA samples from the breast cancer study (n =20), an independent laboratory demonstrated that increasing template gDNA to the REPLI-g reaction improved genotype performance for 49 SNPs; however, average completion and concordance remained below 90%. To reduce genotype misclassification when cytobrush wgaDNA is used, inclusion of paired gDNA/wgaDNA and/or duplicate wgaDNA samples is critical to monitor data quality.     

Quantitative evaluation by minisequencing and microarrays reveals accurate multiplexed SNP genotyping of whole genome amplified DNA

Whole genome amplification (WGA) procedures such as primer extension preamplification (PEP) or multiple displacement amplification (MDA) have the potential to provide an unlimited source of DNA for large-scale genetic studies. We have performed a quantitative evaluation of PEP and MDA for genotyping single nucleotide polymorphisms (SNPs) using multiplex, four-color fluorescent minisequencing in a microarray format. Forty-five SNPs were genotyped and the WGA methods were evaluated with respect to genotyping success, signal-to-noise ratios, power of genotype discrimination, yield and imbalanced amplification of alleles in the MDA product. Both PEP and MDA products provided genotyping results with a high concordance to genomic DNA. For PEP products the power of genotype discrimination was lower than for MDA due to a 2-fold lower signal-to-noise ratio. MDA products were indistinguishable from genomic DNA in all aspects studied. To obtain faithful representation of the SNP alleles at least 0.3 ng DNA should be used per MDA reaction. We conclude that the use of WGA, and MDA in particular, is a highly promising procedure for producing DNA in sufficient amounts even for genome wide SNP mapping studies.     

Monodisperse Picoliter Droplets for Low-Bias and Contamination-Free Reactions in Single-Cell Whole Genome Amplification

Whole genome amplification (WGA) is essential for obtaining genome sequences from single bacterial cells because the quantity of template DNA contained in a single cell is very low. Multiple displacement amplification (MDA), using Phi29 DNA polymerase and random primers, is the most widely used method for single-cell WGA. However, single-cell MDA usually results in uneven genome coverage because of amplification bias, background amplification of contaminating DNA, and formation of chimeras by linking of non-contiguous chromosomal regions. Here, we present a novel MDA method, termed droplet MDA, that minimizes amplification bias and amplification of contaminants by using picoliter-sized droplets for compartmentalized WGA reactions. Extracted DNA fragments from a lysed cell in MDA mixture are divided into 10⁵ droplets (67 pL) within minutes via flow through simple microfluidic channels. Compartmentalized genome fragments can be individually amplified in these droplets without the risk of encounter with reagent-borne or environmental contaminants. Following quality assessment of WGA products from single Escherichia coli cells, we showed that droplet MDA minimized unexpected amplification and improved the percentage of genome recovery from 59% to 89%. Our results demonstrate that microfluidic-generated droplets show potential as an efficient tool for effective amplification of low-input DNA for single-cell genomics and greatly reduce the cost and labor investment required for determination of nearly complete genome sequences of uncultured bacteria from environmental samples.     

Whole genome amplification on DNA from filter paper blood spot samples: an evaluation of selected systems

As the number of single-nucleotide polymorphism (SNP) screening and other mutation scanning studies have increased explosively, following the development of high-throughput instrumentation, it becomes even more important to have sufficient template DNA. The source of DNA is often limited, especially in epidemiological studies, which require many samples as well as enough DNA to perform numerous SNP screenings or mutation scannings. Therefore, the aim is to solve the problem of stock DNA limitation. This need has been an important reason for the development of whole genome amplification (WGA) methods. Several systems are based on Phi29 polymerase multiple displacement amplification (MDA) or on DNA fragmentation (OmniPlex). Using TaqMan SNP genotyping assays, we have tested four WGA systems -- AmpliQ Genomic Amplifier Kit, GenomiPhi, Repli-g, and GenomePlex -- on DNA extracted from Guthrie cards to evaluate the amplification bias, concordance- and call rates, cost efficiency, and flexibility. All systems successfully amplified picograms of DNA from Guthrie cards to micrograms of product without loss of heterozygosity and with minimal allelic bias. A modified AmpliQ set up was chosen for further evaluation. In all, 2,000 SNP genotyping results from amplified and nonamplified samples were compared and the concordance rates between the samples were 99.7%. The call rate using the TaqMan system was 99.8%. DNA extracted from Guthrie cards and amplified with one of the four evaluated WGA systems is applicable in epidemiological genetic screenings. System choice should be based on requirements for system flexibility, product yield, and use in subsequent analysis.     

An isothermal method for whole genome amplification of fresh and degraded DNA for comparative genomic hybridization, genotyping and mutation detection.

Molecular genotyping has important biomedical and forensic applications. However, limiting amounts of human biological material often yield genomic DNA (gDNA) in insufficient quantity and of poor quality for a reliable analysis. This motivated the development of an efficient whole genome amplification method with quantitatively unbiased representation usable on fresh and degraded gDNA. Amplification of fresh frozen, formalin-fixed paraffin-embedded (FFPE) and DNase-degraded DNA using degenerate oligonucleotide-primed PCR or primer extension amplification using a short primer sequence bioinformatically optimized for coverage of the human genome was compared with amplification using current primers by chromosome-based and BAC-array comparative genomic hybridization (CGH), genotyping at short tandem repeats (STRs) and single base mutation detection. Compared with current primers, genome amplification using the bioinformatically optimized primer was significantly less biased on CGH in self-self hybridizations, and replicated tumour genome copy number aberrations, even from FFPE tissue. STR genotyping could be performed on degraded gDNA amplified using our technique but failed with multiple displacement amplification. Of the 18 different single base mutations 16 (89.5%) were correctly identified by sequencing gDNA amplified from clinical samples using our technique. This simple and efficient isothermal method should be helpful for genetic research and clinical and forensic applications.     

Environmental Whole-Genome Amplification To Access Microbial Populations in Contaminated Sediments

Low-biomass samples from nitrate and heavy metal contaminated soils yield DNA amounts that have limited use for direct, native analysis and screening. Multiple displacement amplification (MDA) using 29 DNA polymerase was used to amplify whole genomes from environmental, contaminated, subsurface sediments. By first amplifying the genomic DNA (gDNA), biodiversity analysis and gDNA library construction of microbes found in contaminated soils were made possible. The MDA method was validated by analyzing amplified genome coverage from approximately five Escherichia coli cells, resulting in 99.2% genome coverage. The method was further validated by confirming overall representative species coverage and also an amplification bias when amplifying from a mix of eight known bacterial strains. We extracted DNA from samples with extremely low cell densities from a U.S. Department of Energy contaminated site. After amplification, small-subunit rRNA analysis revealed relatively even distribution of species across several major phyla. Clone libraries were constructed from the amplified gDNA, and a small subset of clones was used for shotgun sequencing. BLAST analysis of the library clone sequences showed that 64.9% of the sequences had significant similarities to known proteins, and “clusters of orthologous groups” (COG) analysis revealed that more than half of the sequences from each library contained sequence similarity to known proteins. The libraries can be readily screened for native genes or any target of interest. Whole-genome amplification of metagenomic DNA from very minute microbial sources, while introducing an amplification bias, will allow access to genomic information that was not previously accessible.     

A test of the efficacy of whole‐genome amplification on DNA obtained from low‐yield samples

Conservation and population genetic studies are sometimes hampered by insufficient quantities of high quality DNA. One potential way to overcome this problem is through the use of whole genome amplification (WGA) kits. We performed rolling circle WGA on DNA obtained from matched hair and tissue samples of North American red squirrels (Tamiasciurus hudsonicus). Following polymerase chain reaction (PCR) at four microsatellite loci, we compared genotyping success for DNA from different source tissues, both pre‐ and post‐WGA. Genotypes obtained with tissue were robust, whether or not DNA had been subjected to WGA. DNA extracted from hair produced results that were largely concordant with matched tissue samples, although amplification success was reduced and some allelic dropout was observed. WGA of hair samples resulted in a low genotyping success rate and an unacceptably high rate of allelic dropout and genotyping error. The problem was not rectified by conducting PCR of WGA hair samples in triplicate. Therefore, we conclude that WGA is only an effective method of enhancing template DNA quantity when the initial sample is from high‐yield material.     

Environmental whole-genome amplification to access microbial populations in contaminated sediments

Low-biomass samples from nitrate and heavy metal contaminated soils yield DNA amounts that have limited use for direct, native analysis and screening. Multiple displacement amplification (MDA) using phi29 DNA polymerase was used to amplify whole genomes from environmental, contaminated, subsurface sediments. By first amplifying the genomic DNA (gDNA), biodiversity analysis and gDNA library construction of microbes found in contaminated soils were made possible. The MDA method was validated by analyzing amplified genome coverage from approximately five Escherichia coli cells, resulting in 99.2% genome coverage. The method was further validated by confirming overall representative species coverage and also an amplification bias when amplifying from a mix of eight known bacterial strains. We extracted DNA from samples with extremely low cell densities from a U.S. Department of Energy contaminated site. After amplification, small-subunit rRNA analysis revealed relatively even distribution of species across several major phyla. Clone libraries were constructed from the amplified gDNA, and a small subset of clones was used for shotgun sequencing. BLAST analysis of the library clone sequences showed that 64.9% of the sequences had significant similarities to known proteins, and "clusters of orthologous groups" (COG) analysis revealed that more than half of the sequences from each library contained sequence similarity to known proteins. The libraries can be readily screened for native genes or any target of interest. Whole-genome amplification of metagenomic DNA from very minute microbial sources, while introducing an amplification bias, will allow access to genomic information that was not previously accessible. The reported SSU rRNA sequences and library clone end sequences are listed with their respective GenBank accession numbers, DQ 404590 to DQ 404652, DQ 404654 to DQ 404938, and DX 385314 to DX 389173.     

Whole Genome Amplification and De novo Assembly of Single Bacterial Cells

Background

Single-cell genome sequencing has the potential to allow the in-depth exploration of the vast genetic diversity found in uncultured microbes. We used the marine cyanobacterium Prochlorococcus as a model system for addressing important challenges facing high-throughput whole genome amplification (WGA) and complete genome sequencing of individual cells.

Methodology/Principal Findings

We describe a pipeline that enables single-cell WGA on hundreds of cells at a time while virtually eliminating non-target DNA from the reactions. We further developed a post-amplification normalization procedure that mitigates extreme variations in sequencing coverage associated with multiple displacement amplification (MDA), and demonstrated that the procedure increased sequencing efficiency and facilitated genome assembly. We report genome recovery as high as 99.6% with reference-guided assembly, and 95% with de novo assembly starting from a single cell. We also analyzed the impact of chimera formation during MDA on de novo assembly, and discuss strategies to minimize the presence of incorrectly joined regions in contigs.

Conclusions/Significance

The methods describe in this paper will be useful for sequencing genomes of individual cells from a variety of samples.     

Finding the right coverage: the impact of coverage and sequence quality on single nucleotide polymorphism genotyping error rates

Restriction‐enzyme‐based sequencing methods enable the genotyping of thousands of single nucleotide polymorphism (SNP) loci in nonmodel organisms. However, in contrast to traditional genetic markers, genotyping error rates in SNPs derived from restriction‐enzyme‐based methods remain largely unknown. Here, we estimated genotyping error rates in SNPs genotyped with double digest RAD sequencing from Mendelian incompatibilities in known mother–offspring dyads of Hoffman's two‐toed sloth (Choloepus hoffmanni) across a range of coverage and sequence quality criteria, for both reference‐aligned and de novo‐assembled data sets. Genotyping error rates were more sensitive to coverage than sequence quality and low coverage yielded high error rates, particularly in de novo‐assembled data sets. For example, coverage ≥5 yielded median genotyping error rates of ≥0.03 and ≥0.11 in reference‐aligned and de novo‐assembled data sets, respectively. Genotyping error rates declined to ≤0.01 in reference‐aligned data sets with a coverage ≥30, but remained ≥0.04 in the de novo‐assembled data sets. We observed approximately 10‐ and 13‐fold declines in the number of loci sampled in the reference‐aligned and de novo‐assembled data sets when coverage was increased from ≥5 to ≥30 at quality score ≥30, respectively. Finally, we assessed the effects of genotyping coverage on a common population genetic application, parentage assignments, and showed that the proportion of incorrectly assigned maternities was relatively high at low coverage. Overall, our results suggest that the trade‐off between sample size and genotyping error rates be considered prior to building sequencing libraries, reporting genotyping error rates become standard practice, and that effects of genotyping errors on inference be evaluated in restriction‐enzyme‐based SNP studies.     

High fidelity of whole-genome amplified DNA on high-density single nucleotide polymorphism arrays

Current microarray technology allows researchers to genotype a large number of SNPs with relatively small amounts of DNA. Nevertheless, researchers and clinicians still frequently face the problem of acquiring enough high-quality DNA for analysis. Whole-genome amplification (WGA) methods offer a solution for this problem, and earlier studies have shown that WGA samples perform reasonably well in small-scale genetic analyses (e.g. Affymetrix 10K array). To determine the performance of WGA products on a large-scale genotyping array, we compared the Affymetrix 250K array genotyping results of genomic DNA and their WGA products from four individuals. Our results indicate that WGA product performs well on the 250K array compared to genomic DNA, especially when using the BRLMM calling algorithm. WGA samples have high call rates (97.5% on average, compared to 99.4% for genomic DNA) and excellent concordance rates with their corresponding genomic DNA samples (98.7% on average). In addition, no apparent systematic genomic amplification bias can be detected. This study demonstrates that, although there is a slight decrease in the total call rates, WGA methods provide a reliable approach for increasing the amount of DNA samples for use with a common SNP genotyping array.     

Evaluation of multiple displacement amplification in a 5 cM STR genome-wide scan

Multiple displacement amplification (MDA) has emerged as a promising new method of whole genome amplification (WGA) with the potential to generate virtually unlimited genome-equivalent DNA from only a small amount of seed DNA. To date, genome-wide high marker density assessments of MDA–DNA have focussed mainly upon suitability for single nucleotide polymorphism (SNP) genotyping applications. Suitability for short tandem repeat (STR) genotyping has not been investigated in great detail, despite their inherent instability during DNA replication, and the obvious challenge that this presents to WGA techniques. Here, we aimed to assess the applicability of MDA in STR genotyping by conducting a genome-wide scan of 768 STR markers for MDAs of 15 high quality genomic DNAs. We found that MDA genotyping call and accuracy rates were only marginally lower than for genomic DNA. Pooling of three replicate MDAs resulted in a small increase in both call rate and genotyping accuracy. We identified 34 STRs (4.4% of total markers) of which five essentially failed with MDA samples, and 29 of which showed elevated genotyping failures/discrepancies in the MDAs. We emphasise the importance of DNA and MDA quality checks, and the use of appropriate controls to identify problematic STR markers.     

The Performance of Whole Genome Amplification Methods and Next-Generation Sequencing for Pre-Implantation Genetic Diagnosis of Chromosomal Abnormalities

Reliable and accurate pre-implantation genetic diagnosis(PGD) of patient’s embryos by next-generation sequencing(NGS) is dependent on efficient whole genome amplification(WGA) of a representative biopsy sample. However, the performance of the current state of the art WGA methods has not been evaluated for sequencing. Using low template DNA(15 pg) and single cells, we showed that the two PCR-based WGA systems Sure Plex and MALBAC are superior to the REPLI-g WGA multiple displacement amplification(MDA) system in terms of consistent and reproducible genome coverage and sequence bias across the 24 chromosomes, allowing better normalization of test to reference sequencing data. When copy number variation sequencing(CNV-Seq) was applied to single cell WGA products derived by either Sure Plex or MALBAC amplification, we showed that known disease CNVs in the range of 3e15 Mb could be reliably and accurately detected at the correct genomic positions. These findings indicate that our CNV-Seq pipeline incorporating either Sure Plex or MALBAC as the key initial WGA step is a powerful methodology for clinical PGD to identify euploid embryos in a patient’s cohort for uterine transplantation.     

Multiple displacement amplification prior to single nucleotide polymorphism genotyping in epidemiologic studies

We assessed the whole genome amplification strategy, known as multiple displacement amplification (MDA), for use with the TaqMan genotyping platform for DNA samples derived from two case-control studies nested in the Nurses' Health Study and the Physicians' Health Study. Our objectives were to (1) quantify DNA yield from samples of varying starting concentrations and (2) assess whether MDA products give an accurate representation of the original genomic sequence. Multiple displacement amplification yielded a mean 23000-fold increase in DNA quantity and genotyping results demonstrate 99.95% accuracy across six SNPs from four genes for 352 samples included in this study. These results suggest that MDA will provide a sufficiently robust amplification of limiting samples of genomic DNA that can be used for SNP genotyping in large case-control studies of complex diseases.     

Genotyping performance assessment of whole genome amplified DNA with respect to multiplexing level of assay and its period of storage

Whole genome amplification can faithfully amplify genomic DNA (gDNA) with minimal bias and substantial genome coverage. Whole genome amplified DNA (wgaDNA) has been tested to be workable for high-throughput genotyping arrays. However, issues about whether wgaDNA would decrease genotyping performance at increasing multiplexing levels and whether the storage period of wgaDNA would reduce genotyping performance have not been examined. Using the Sequenom MassARRAY iPLEX Gold assays, we investigated 174 single nucleotide polymorphisms for 3 groups of matched samples: group 1 of 20 gDNA samples, group 2 of 20 freshly prepared wgaDNA samples, and group 3 of 20 stored wgaDNA samples that had been kept frozen at -70°C for 18 months. MassARRAY is a medium-throughput genotyping platform with reaction chemistry different from those of high-throughput genotyping arrays. The results showed that genotyping performance (efficiency and accuracy) of freshly prepared wgaDNA was similar to that of gDNA at various multiplexing levels (17-plex, 21-plex, 28-plex and 36-plex) of the MassARRAY assays. However, compared with gDNA or freshly prepared wgaDNA, stored wgaDNA was found to give diminished genotyping performance (efficiency and accuracy) due to potentially inferior quality. Consequently, no matter whether gDNA or wgaDNA was used, better genotyping efficiency would tend to have better genotyping accuracy.     

基于PLP-LDR-HRCA策略进行微量DNA分析——rs17750303位点分型

增强PCR和全基因组扩增是当前微量DNA分析的主要策略,但是,由于DNA模板量过少,受随机效应影响显著,往往不能得到可靠的DNA分型结果.本文提出一种新的检验策略:PLP-LDR-HRCA,尝试微量DNA检材的SNPs分型研究.选择rs17750303位点,并设计等位基因特异性锁式探针,采用连接酶检测反应来识别等位基因,而后采用超分支滚环扩增反应来放大检测信号.结果表明,PLP-LDR-HRCA反应特异性好,灵敏度高,能够直接鉴别微量基因组DNA模板中待测SNP位点,rs17750303纯合型样品(AA型或CC型)和杂合型样品(AC型)准确分型所需最少模板量分别为20pg和30pg.对于增强PCR和全基因组扩增技术不能有效检验的微量检材,PLP-LDR-PCR策略独具优势,可能具有较大的开发价值.     

High‐throughput genotyping of Anopheles mosquitoes using intact legs by Agena Biosciences iPLEX

Recent developments in genotyping technologies coupled with the growing desire to characterize genome variation in Anopheles populations open the opportunity to develop more effective genotyping strategies for high‐throughput screening. A major bottleneck of this goal is nucleic acid extraction. Here, we examined the feasibility of using intact portions of a mosquito's leg as sources of template DNA for whole‐genome amplification (WGA) by primer‐extension preamplification. We used the Agena Biosciences MassARRAY^® platform (formerly Sequenom) to genotype 78 SNPs for 265 WGA leg samples. We performed nucleic acid extraction on 36 mosquito carcasses and compared the genotype call concordance with their corresponding legs and observed full concordance. Using three legs instead of one improved genotyping success rates (96% vs. 89%, respectively), although this difference was not significant. We provide a proof of concept that WGA reactions can be performed directly on mosquito legs, thereby eliminating the need to extract nucleic acid. This approach is straightforward and sensitive and allows both species determination and genotyping of Anopheles mosquitoes to be performed in a high‐throughput manner. Our protocol also leaves the mosquito body intact facilitating other experimental analysis to be undertaken on the same sample. Based on our findings, this method would also be suitable for use with other insect species.