scholarly journals A rapid fungal DNA extraction method suitable for PCR screening fungal mutants, infected plant tissue and spore trap samples

2021 ◽  
pp. 101758
Author(s):  
Paola Pilo ◽  
Anna M.M. Tiley ◽  
Colleen Lawless ◽  
Sujit J. Karki ◽  
James Burke ◽  
...  
Keyword(s):  
Dna Extraction ◽  
Plant Tissue ◽  
Extraction Method ◽  
Infected Plant ◽  
Spore Trap ◽  
Pcr Screening ◽  
Dna Extraction Method ◽  
Fungal Dna ◽  
Fungal Dna Extraction

scholarly journals Direct DNA extraction method of an obligate parasitic fungus from infected plant tissue

2015 ◽  
Vol 14 (4) ◽  
pp. 18546-18551 ◽  
Author(s):  
L. Liu ◽  
C.L. Wang ◽  
W.Y. Peng ◽  
J. Yang ◽  
M.Q. Lan ◽  
...  
Keyword(s):  
Dna Extraction ◽  
Plant Tissue ◽  
Extraction Method ◽  
Infected Plant ◽  
Parasitic Fungus ◽  
Dna Extraction Method ◽  
Direct Dna Extraction

Sensitivity detection of Abacavir in human through SNP detection of HLA-B*5701 allele

2016 ◽  
Vol 5 (08) ◽  
pp. 4754
Author(s):  
Tanushree Mitra* ◽  
Shivshankar Kumdale ◽  
Sameer Chowdhary ◽  
Amol D. Raut
Keyword(s):  
Blood Sample ◽  
Dna Extraction ◽  
Genomic Dna ◽  
Extraction Method ◽  
Snp Detection ◽  
Dna Extraction Method ◽  
Sensitivity Detection

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.

Development of a rapid DNA extraction method and one-step nested PCR for the detection of Naegleria fowleri from the environment

2011 ◽  
Vol 45 (16) ◽  
pp. 5211-5217 ◽  
Author(s):  
Arine Fadzlun Ahmad ◽  
James Lonnen ◽  
Peter W. Andrew ◽  
Simon Kilvington
Keyword(s):  
Dna Extraction ◽  
Nested Pcr ◽  
Extraction Method ◽  
Naegleria Fowleri ◽  
Dna Extraction Method ◽  
One Step ◽  
Nægleria Fowleri

scholarly journals Choice of bacterial DNA extraction method from fecal material influences community structure as evaluated by metagenomic analysis

Microbiome ◽  
2014 ◽  
Vol 2 (1) ◽  
pp. 19 ◽  
Author(s):  
Agata Wesolowska-Andersen ◽  
Martin Bahl ◽  
Vera Carvalho ◽  
Karsten Kristiansen ◽  
Thomas Sicheritz-Pontén ◽  
...  
Keyword(s):  
Community Structure ◽  
Dna Extraction ◽  
Extraction Method ◽  
Metagenomic Analysis ◽  
Fecal Material ◽  
Bacterial Dna ◽  
Dna Extraction Method ◽  
Bacterial Dna Extraction

scholarly journals Evaluating the Impact of DNA Extraction Method on the Representation of Human Oral Bacterial and Fungal Communities

PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0169877 ◽  
Author(s):  
Anna Vesty ◽  
Kristi Biswas ◽  
Michael W. Taylor ◽  
Kim Gear ◽  
Richard G. Douglas
Keyword(s):  
Dna Extraction ◽  
Extraction Method ◽  
Fungal Communities ◽  
Dna Extraction Method ◽  
The Impact

scholarly journals Optimized Protocol for Cyanobacterial 16S rRNA Analysis in Danube Delta Lakes

2021 ◽  
Author(s):  
Maria Iasmina Moza ◽  
Carmen Postolache
Keyword(s):  
16S Rrna ◽  
Dna Extraction ◽  
Phytoplankton Biomass ◽  
Extraction Method ◽  
Seasonal Difference ◽  
Danube Delta ◽  
16S Rrna Analysis ◽  
Dna Extraction Method ◽  
Optimized Protocol ◽  
Cyanobacterial Biomass

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.

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