Testing compatibility between molecular and morphological techniques for arthropod systematics: a minimally destructive DNA extraction method that preserves morphological integrity, and the effect of lactic acid on DNA quality

2008 ◽  
Vol 13 (4) ◽  
pp. 453-457 ◽  
Author(s):  
Pierre Paquin ◽  
Cor J. Vink
2021 ◽  
Vol 1 (3) ◽  
pp. 194-201
Author(s):  
Jasmin Zoranjic ◽  
Jasmine W. Tay ◽  
Nicholas S. Mountford ◽  
Marie S. Rye

Bones and teeth are highly challenging sources of DNA in forensic science and human remains identification, requiring multiple laborious processing steps. In this study, we compared an organic phenol–chloroform method to the QIAamp® DNA Investigator and PrepFiler Express BTA™ methods in order to identify the most efficient automated DNA extraction method for bones and teeth. Results from individual tooth powder replicates showed that the PrepFiler Express BTA™ method extracted the highest yields of DNA per mg of tooth powder, returning a minimum of 20/21 PowerPlex® 21 loci. Samples extracted using the organic extraction or QIAamp® DNA Investigator methods produced PowerPlex® 21 profiles displaying a ski-slope morphology. The improved DNA quality and yield from the PrepFiler Express BTA™ method was verified using aged samples, where higher DNA yields per mg of powder and more informative profiles were obtained. Furthermore, the PrepFiler Express BTA™ method subsequently provided useful DNA profiles for two forensic cases involving degraded bone samples. Overall, this study showed that the PrepFiler Express BTA™ chemistry is a reliable and robust method for DNA extraction from bone and teeth samples, and will allow larger numbers of samples to be efficiently extracted in the event of a Disaster Victim Identification event.


2016 ◽  
Vol 5 (08) ◽  
pp. 4754
Author(s):  
Tanushree Mitra* ◽  
Shivshankar Kumdale ◽  
Sameer Chowdhary ◽  
Amol D. Raut

The main objective of this study was to make sure whether randomly taken 12 samples were sensitive to abacavir. The genomic DNA from 12 blood sample were extracted by phenol chloroform DNA extraction method, extracted genomic DNA were amplified and sequenced, thereafter SNPs were detected. Every sample had shown the presence of normal base at SNP position. This study indicated, those randomly taken 12 patients were sensitive to abacavir, so they can consume abacavir if they get infected with HIV.


2011 ◽  
Vol 45 (16) ◽  
pp. 5211-5217 ◽  
Author(s):  
Arine Fadzlun Ahmad ◽  
James Lonnen ◽  
Peter W. Andrew ◽  
Simon Kilvington

Microbiome ◽  
2014 ◽  
Vol 2 (1) ◽  
pp. 19 ◽  
Author(s):  
Agata Wesolowska-Andersen ◽  
Martin Bahl ◽  
Vera Carvalho ◽  
Karsten Kristiansen ◽  
Thomas Sicheritz-Pontén ◽  
...  

PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0169877 ◽  
Author(s):  
Anna Vesty ◽  
Kristi Biswas ◽  
Michael W. Taylor ◽  
Kim Gear ◽  
Richard G. Douglas

2021 ◽  
Author(s):  
Maria Iasmina Moza ◽  
Carmen Postolache

AbstractMolecular biology protocols have been more and more accessible to researchers for ecological investigations, however, these protocols always require optimization steps for the analysis of specific types of samples. The purpose of this study was to optimize a molecular protocol for the analysis of cyanobacterial 16S rRNA in Danube Delta shallows lakes. In this regard, several commercial DNA extraction kits were tested in comparison with potassium ethyl xanthogenate extraction method on different matrices. The obtained DNA was further used for 16S rRNA PCR optimization. Finally, an optimized protocol is proposed for the molecular analysis of cyanobacteria group in freshwater samples. The best DNA extraction method was the potassium xanthogenate extraction from dried cyanobacterial biomass. A dynamic in total genomic eDNA was observed, reflecting the seasonal difference in phytoplankton biomass from the studied lakes. The PCR protocol optimized by us can be successfully applied for the identification of a broad range of cyanobacterial genetic markers.


2014 ◽  
Vol 46 (3) ◽  
pp. 99-105 ◽  
Author(s):  
Seo Young Oh ◽  
Jeong Yeon Han ◽  
So Ra Lee ◽  
Hoon Taek Lee

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