scholarly journals Genome coverage and sequence fidelity of  29 polymerase-based multiple strand displacement whole genome amplification

2004 ◽  
Vol 32 (9) ◽  
pp. e71-e71 ◽  
Author(s):  
J. G. Paez
Keyword(s):  
Whole Genome Amplification ◽  
Whole Genome ◽  
Strand Displacement ◽  
Genome Coverage ◽  
Genome Amplification

scholarly journals Comparison of seven single cell Whole Genome Amplification commercial kits using targeted sequencing

2017 ◽  
Author(s):  
Tamir Biezuner ◽  
Ofir Raz ◽  
Shiran Amir ◽  
Lilach Milo ◽  
Rivka Adar ◽  
...  
Keyword(s):  
Single Cell ◽  
Whole Genome Amplification ◽  
Single Cells ◽  
Targeted Sequencing ◽  
Whole Genome ◽  
Genome Coverage ◽  
Genome Amplification ◽  
Cell Experiment ◽  
Commercial Kits ◽  
Genomic Regions

AbstractAdvances in biochemical technologies have led to a boost in the field of single cell genomics. Observation of the genome at a single cell resolution is currently achieved by pre-amplification using whole genome amplification (WGA) techniques that differ by their biochemical aspects and as a result by biased amplification of the original molecule. Several comparisons between commercially available single cell dedicated WGA kits (scWGA) were performed, however, these comparisons are costly, were only performed on selected scWGA kit and more notably, are limited by the number of analyzed cells, making them limited for reproducibility analysis. We benchmarked an economical assay to compare all commercially available scWGA kits that is based on targeted sequencing of thousands of genomic regions, including highly mutable genomic regions (microsatellites), from a large cohort of human single cells (125 cells in total). Using this approach, we could analyze the genome coverage, the reproducibility of genome coverage and the error rate of each kit. Our experimental design provides an affordable and reliable comparative assay that simulates a real single cell experiment. Results demonstrate the needfor a dedicated kit selection depending on the desired single cell assay.

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

2006 ◽  
Vol 72 (5) ◽  
pp. 3291-3301 ◽  
Author(s):  
Carl B. Abulencia ◽  
Denise L. Wyborski ◽  
Joseph A. Garcia ◽  
Mircea Podar ◽  
Wenqiong Chen ◽  
...  
Keyword(s):  
Contaminated Soils ◽  
Whole Genome Amplification ◽  
Multiple Displacement Amplification ◽  
Department Of Energy ◽  
Contaminated Site ◽  
Small Subset ◽  
Whole Genome ◽  
Genome Coverage ◽  
Genome Amplification ◽  
Amplification Bias

ABSTRACT 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 φ29 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.

scholarly journals Quantifying genome DNA during whole-genome amplification via quantitative real-time multiple displacement amplification

RSC Advances ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 4617-4621
Author(s):  
Jing Tu ◽  
Yi Qiao ◽  
Yuhan Luo ◽  
Naiyun Long ◽  
Zuhong Lu
Keyword(s):  
Real Time ◽  
Whole Genome Amplification ◽  
Multiple Displacement Amplification ◽  
Whole Genome ◽  
Genome Amplification

Monitoring multiple displacement amplification by fluorescence signals.

scholarly journals Species Identification of Pinus Pollen Found in Belukha Glacier, Russian Altai Mountains, Using a Whole-Genome Amplification Method

Forests ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 444
Author(s):  
Fumio Nakazawa ◽  
Yoshihisa Suyama ◽  
Satoshi Imura ◽  
Hideaki Motoyama
Keyword(s):  
Species Identification ◽  
Whole Genome Amplification ◽  
Pollen Grains ◽  
Pollen Grain ◽  
Pinus Sibirica ◽  
Whole Genome ◽  
Accurate Identification ◽  
Closely Related Species ◽  
Genome Amplification ◽  
Amplification Method

Pollen taxa in sediment samples can be identified based on morphology. However, closely related species do not differ substantially in pollen morphology, and accurate identification is generally limited to genera or families. Because many pollen grains in glaciers contain protoplasm, genetic information obtained from pollen grains should enable the identification of plant taxa at the species level. In the present study, species identification of Pinus pollen grains was attempted using whole-genome amplification (WGA). We used pollen grains extracted from surface snow (depth, 1.8–1.9 m) from the Belukha glacier in the summer of 2003. WGA was performed using a single pollen grain. Some regions of the chloroplast genome were amplified by PCR, and the DNA products were sequenced to identify the pollen grain. Pinus includes approximately 111 recognized species in two subgenera, four sections, and 11 subsections. The tree species Pinus sibirica and P. sylvestris are currently found at the periphery of the glacier. We identified the pollen grains from the Belukha glacier to the level of section or subsection to which P. sibirica and P. sylvestris belong. Moreover, we specifically identified two pollen grains as P. sibirica or P. cembra. Fifteen species, including P. sibirica, were candidates for the remaining pollen grain.

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