scholarly journals Comparative analysis of metagenomic DNA extraction methods from gut microbiota of zebrafish (Danio rerio) for downstream next-generation sequencing

2019 ◽  
Vol 7 (1) ◽  
pp. 11-15 ◽  
Keyword(s):  
Comparative Analysis ◽  
Next Generation Sequencing ◽  
Gut Microbiota ◽  
Dna Extraction ◽  
Danio Rerio ◽  
Extraction Methods ◽  
Next Generation ◽  
Metagenomic Dna ◽  
Dna Extraction Methods ◽  
Generation Sequencing

scholarly journals Assessing the Performance of Dried-Blood-Spot DNA Extraction Methods in Next Generation Sequencing

2020 ◽  
Vol 6 (2) ◽  
pp. 36 ◽  
Author(s):  
Miyono M. Hendrix ◽  
Carla D. Cuthbert ◽  
Suzanne K. Cordovado
Keyword(s):  
Cystic Fibrosis ◽  
Next Generation Sequencing ◽  
Newborn Screening ◽  
Dna Extraction ◽  
Technical Assistance ◽  
The United States ◽  
Extraction Methods ◽  
Next Generation ◽  
Dna Extraction Methods ◽  
Generation Sequencing

An increasing number of newborn screening laboratories in the United States and abroad are moving towards incorporating next-generation sequencing technology, or NGS, into routine screening, particularly for cystic fibrosis. As more programs utilize this technology for both cystic fibrosis and beyond, it is critical to identify appropriate DNA extraction methods that can be used with dried blood spots that will result in consistent, high-quality sequencing results. To provide comprehensive quality assurance and technical assistance to newborn screening laboratories wishing to incorporate NGS assays, CDC’s Newborn Screening and Molecular Biology Branch designed a study to evaluate the performance of nine commercial or laboratory-developed DNA extraction methods that range from a highly purified column extraction to a crude detergent-based no-wash boil prep. The DNA from these nine methods was used in two NGS library preparations that interrogate the CFTR gene. All DNA extraction methods including the cruder preps performed reasonably well with both library preps. One lower-concentration, older sample was excluded from one of the assay evaluations due to poor performance across all DNA extraction methods. When 84 samples, versus eight, were run on a flow cell, the DNA quality and quantity were more significant variables.

scholarly journals Use of FFPE-derived DNA in next generation sequencing: DNA extraction methods

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0211400 ◽  
Author(s):  
Samantha J. McDonough ◽  
Aditya Bhagwate ◽  
Zhifu Sun ◽  
Chen Wang ◽  
Michael Zschunke ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Dna Extraction ◽  
Extraction Methods ◽  
Next Generation ◽  
Dna Extraction Methods ◽  
Generation Sequencing

scholarly journals Utilizing field collected insects for next generation sequencing: Effects of sampling, storage, and DNA extraction methods

2019 ◽  
Vol 9 (24) ◽  
pp. 13690-13705 ◽  
Author(s):  
Kimberly M. Ballare ◽  
Nathaniel S. Pope ◽  
Antonio R. Castilla ◽  
Sarah Cusser ◽  
Richard P. Metz ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Dna Extraction ◽  
Extraction Methods ◽  
Next Generation ◽  
Dna Extraction Methods ◽  
Generation Sequencing

scholarly journals Comparative Analysis of DNA-Binding Selectivity of Hairpin and Cyclic Pyrrole-Imidazole Polyamides Based on Next-Generation Sequencing

ChemBioChem ◽  
2016 ◽  
Vol 17 (18) ◽  
pp. 1752-1758 ◽  
Author(s):  
Gengo Kashiwazaki ◽  
Anandhakumar Chandran ◽  
Sefan Asamitsu ◽  
Takashi Kawase ◽  
Yusuke Kawamoto ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Next Generation Sequencing ◽  
Dna Binding ◽  
Next Generation ◽  
Binding Selectivity ◽  
Generation Sequencing

scholarly journals Profiling soil microbial communities with next-generation sequencing: the influence of DNA kit selection and technician technical expertise

2017 ◽  
Author(s):  
Taha Soliman ◽  
Sung-Yin Yang ◽  
Tomoko Yamazaki ◽  
Holger Jenke-Kodama
Keyword(s):  
Next Generation Sequencing ◽  
Microbial Communities ◽  
Dna Extraction ◽  
Dna Isolation ◽  
Soil Microbial Communities ◽  
Next Generation ◽  
Microbial Composition ◽  
Okinawa Island ◽  
The Impact ◽  
Generation Sequencing

Structure and diversity of microbial communities are an important research topic in biology, since microbes play essential roles in the ecology of various environments. Different DNA isolation protocols can lead to data bias and can affect results of next-generation sequencing. To evaluate the impact of protocols for DNA isolation from soil samples and also the influence of individual handling of samples, we compared results obtained by two researchers (R and T) using two different DNA extraction kits: (1) MO BIO PowerSoil® DNA Isolation kit (MO_R and MO_T) and (2) NucleoSpin® Soil kit (MN_R and MN_T). Samples were collected from six different sites on Okinawa Island, Japan. For all sites, differences in the results of microbial composition analyses (bacteria, archaea, fungi, and other eukaryotes), obtained by the two researchers using the two kits, were analyzed. For both researchers, the MN kit gave significantly higher yields of genomic DNA at all sites compared to the MO kit (ANOVA; P <0.006). In addition, operational taxonomic units for some phyla and classes were missed in some cases: Micrarchaea were detected only in the MN_T and MO_R analyses; the bacterial phylum Armatimonadetes was detected only in MO_R and MO_T; and WIM5 of the phylum Amoebozoa of eukaryotes was found only in the MO_T analysis. Our results suggest the possibility of handling bias; therefore, it is crucial that replicated DNA extraction be performed by at least two technicians for thorough microbial analyses and to obtain accurate estimates of microbial diversity.

scholarly journals A systematic comparison of eight new plastome sequences from Ipomoea L

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6563
Author(s):  
Jianying Sun ◽  
Xiaofeng Dong ◽  
Qinghe Cao ◽  
Tao Xu ◽  
Mingku Zhu ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Next Generation Sequencing ◽  
Chloroplast Genome ◽  
Dna Sequences ◽  
Repetitive Sequences ◽  
Single Copy ◽  
Next Generation ◽  
Variable Regions ◽  
Chloroplast Genomes ◽  
Generation Sequencing

Background Ipomoea is the largest genus in the family Convolvulaceae. The species in this genus have been widely used in many fields, such as agriculture, nutrition, and medicine. With the development of next-generation sequencing, more than 50 chloroplast genomes of Ipomoea species have been sequenced. However, the repeats and divergence regions in Ipomoea have not been well investigated. In the present study, we sequenced and assembled eight chloroplast genomes from sweet potato’s close wild relatives. By combining these with 32 published chloroplast genomes, we conducted a detailed comparative analysis of a broad range of Ipomoea species. Methods Eight chloroplast genomes were assembled using short DNA sequences generated by next-generation sequencing technology. By combining these chloroplast genomes with 32 other published Ipomoea chloroplast genomes downloaded from GenBank and the Oxford Research Archive, we conducted a comparative analysis of the repeat sequences and divergence regions across the Ipomoea genus. In addition, separate analyses of the Batatas group and Quamoclit group were also performed. Results The eight newly sequenced chloroplast genomes ranged from 161,225 to 161,721 bp in length and displayed the typical circular quadripartite structure, consisting of a pair of inverted repeat (IR) regions (30,798–30,910 bp each) separated by a large single copy (LSC) region (87,575–88,004 bp) and a small single copy (SSC) region (12,018–12,051 bp). The average guanine-cytosine (GC) content was approximately 40.5% in the IR region, 36.1% in the LSC region, 32.2% in the SSC regions, and 37.5% in complete sequence for all the generated plastomes. The eight chloroplast genome sequences from this study included 80 protein-coding genes, four rRNAs (rrn23, rrn16, rrn5, and rrn4.5), and 37 tRNAs. The boundaries of single copy regions and IR regions were highly conserved in the eight chloroplast genomes. In Ipomoea, 57–89 pairs of repetitive sequences and 39–64 simple sequence repeats were found. By conducting a sliding window analysis, we found six relatively high variable regions (ndhA intron, ndhH-ndhF, ndhF-rpl32, rpl32-trnL, rps16-trnQ, and ndhF) in the Ipomoea genus, eight (trnG, rpl32-trnL, ndhA intron, ndhF-rpl32, ndhH-ndhF, ccsA-ndhD, trnG-trnR, and pasA-ycf3) in the Batatas group, and eight (ndhA intron, petN-psbM, rpl32-trnL, trnG-trnR, trnK-rps16, ndhC-trnV, rps16-trnQ, and trnG) in the Quamoclit group. Our maximum-likelihood tree based on whole chloroplast genomes confirmed the phylogenetic topology reported in previous studies. Conclusions The chloroplast genome sequence and structure were highly conserved in the eight newly-sequenced Ipomoea species. Our comparative analysis included a broad range of Ipomoea chloroplast genomes, providing valuable information for Ipomoea species identification and enhancing the understanding of Ipomoea genetic resources.

scholarly journals Profiling soil microbial communities with next-generation sequencing: the influence of DNA kit selection and technician technical expertise

2017 ◽  
Author(s):  
Taha Soliman ◽  
Sung-Yin Yang ◽  
Tomoko Yamazaki ◽  
Holger Jenke-Kodama
Keyword(s):  
Next Generation Sequencing ◽  
Microbial Communities ◽  
Dna Extraction ◽  
Dna Isolation ◽  
Soil Microbial Communities ◽  
Next Generation ◽  
Microbial Composition ◽  
Okinawa Island ◽  
The Impact ◽  
Generation Sequencing

Structure and diversity of microbial communities are an important research topic in biology, since microbes play essential roles in the ecology of various environments. Different DNA isolation protocols can lead to data bias and can affect results of next-generation sequencing. To evaluate the impact of protocols for DNA isolation from soil samples and also the influence of individual handling of samples, we compared results obtained by two researchers (R and T) using two different DNA extraction kits: (1) MO BIO PowerSoil® DNA Isolation kit (MO_R and MO_T) and (2) NucleoSpin® Soil kit (MN_R and MN_T). Samples were collected from six different sites on Okinawa Island, Japan. For all sites, differences in the results of microbial composition analyses (bacteria, archaea, fungi, and other eukaryotes), obtained by the two researchers using the two kits, were analyzed. For both researchers, the MN kit gave significantly higher yields of genomic DNA at all sites compared to the MO kit (ANOVA; P <0.006). In addition, operational taxonomic units for some phyla and classes were missed in some cases: Micrarchaea were detected only in the MN_T and MO_R analyses; the bacterial phylum Armatimonadetes was detected only in MO_R and MO_T; and WIM5 of the phylum Amoebozoa of eukaryotes was found only in the MO_T analysis. Our results suggest the possibility of handling bias; therefore, it is crucial that replicated DNA extraction be performed by at least two technicians for thorough microbial analyses and to obtain accurate estimates of microbial diversity.

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