Literature DB >> 33731788

Benchmarking DNA isolation kits used in analyses of the urinary microbiome.

Lisa Karstens1,2, Nazema Y Siddiqui3, Tamara Zaza4, Alecsander Barstad2, Cindy L Amundsen3, Tatyana A Sysoeva5.   

Abstract

The urinary microbiome has been increasingly characterized using next-generation sequencing. However, many of the technical methods have not yet been specifically optimized for urine. We sought to compare the performance of several DNA isolation kits used in urinary microbiome studies. A total of 11 voided urine samples and one buffer control were divided into 5 equal aliquots and processed in parallel using five commercial DNA isolation kits. DNA was quantified and the V4 segment of the 16S rRNA gene was sequenced. Data were processed to identify the microbial composition and to assess alpha and beta diversity of the samples. Tested DNA isolation kits result in significantly different DNA yields from urine samples. DNA extracted with the Qiagen Biostic Bacteremia and DNeasy Blood & Tissue kits showed the fewest technical issues in downstream analyses, with the DNeasy Blood & Tissue kit also demonstrating the highest DNA yield. Nevertheless, all five kits provided good quality DNA for high throughput sequencing with non-significant differences in the number of reads recovered, alpha, or beta diversity.

Entities:  

Year:  2021        PMID: 33731788      PMCID: PMC7969918          DOI: 10.1038/s41598-021-85482-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  32 in total

1.  Methodology for a vaginal and urinary microbiome study in women with mixed urinary incontinence.

Authors:  Yuko M Komesu; Holly E Richter; Darrell L Dinwiddie; Nazema Y Siddiqui; Vivian W Sung; Emily S Lukacz; Beri Ridgeway; Lily A Arya; Halina M Zyczynski; Rebecca G Rogers; Marie Gantz
Journal:  Int Urogynecol J       Date:  2016-10-13       Impact factor: 2.894

2.  Assessing impacts of DNA extraction methods on next generation sequencing of water and wastewater samples.

Authors:  Connie Walden; Franck Carbonero; Wen Zhang
Journal:  J Microbiol Methods       Date:  2017-07-17       Impact factor: 2.363

3.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

4.  Evaluating the Impact of DNA Extraction Method on the Representation of Human Oral Bacterial and Fungal Communities.

Authors:  Anna Vesty; Kristi Biswas; Michael W Taylor; Kim Gear; Richard G Douglas
Journal:  PLoS One       Date:  2017-01-18       Impact factor: 3.240

5.  Optimization of DNA extraction from human urinary samples for mycobiome community profiling.

Authors:  A Lenore Ackerman; Jennifer Tash Anger; Muhammad Umair Khalique; James E Ackerman; Jie Tang; Jayoung Kim; David M Underhill; Michael R Freeman
Journal:  PLoS One       Date:  2019-04-25       Impact factor: 3.240

6.  Optimizing bacterial DNA extraction in urine.

Authors:  Matthew M Munch; Laura C Chambers; Lisa E Manhart; Dan Domogala; Anthony Lopez; David N Fredricks; Sujatha Srinivasan
Journal:  PLoS One       Date:  2019-09-24       Impact factor: 3.240

7.  Effect of DNA extraction methods and sampling techniques on the apparent structure of cow and sheep rumen microbial communities.

Authors:  Gemma Henderson; Faith Cox; Sandra Kittelmann; Vahideh Heidarian Miri; Michael Zethof; Samantha J Noel; Garry C Waghorn; Peter H Janssen
Journal:  PLoS One       Date:  2013-09-11       Impact factor: 3.240

8.  Optimized cryopreservation of mixed microbial communities for conserved functionality and diversity.

Authors:  Frederiek-Maarten Kerckhof; Emilie N P Courtens; Annelies Geirnaert; Sven Hoefman; Adrian Ho; Ramiro Vilchez-Vargas; Dietmar H Pieper; Ruy Jauregui; Siegfried E Vlaeminck; Tom Van de Wiele; Peter Vandamme; Kim Heylen; Nico Boon
Journal:  PLoS One       Date:  2014-06-17       Impact factor: 3.240

9.  Biases during DNA extraction affect characterization of the microbiota associated with larvae of the Pacific white shrimp, Litopenaeus vannamei.

Authors:  Ming Xue; Liyou Wu; Yaoyao He; Huafang Liang; Chongqing Wen
Journal:  PeerJ       Date:  2018-07-16       Impact factor: 2.984

Review 10.  Urobiome: In Sickness and in Health.

Authors:  Bartosz Wojciuk; Agata Salabura; Bartłomiej Grygorcewicz; Karolina Kędzierska; Kazimierz Ciechanowski; Barbara Dołęgowska
Journal:  Microorganisms       Date:  2019-11-10
View more
  4 in total

1.  Determination of the Optimal Bacterial DNA Extraction Method to Explore the Urinary Microbiota.

Authors:  Julie A Vendrell; Steven Henry; Simon Cabello-Aguilar; Elise Heckendorn; Sylvain Godreuil; Jérôme Solassol
Journal:  Int J Mol Sci       Date:  2022-01-25       Impact factor: 5.923

Review 2.  The Intestinal Microbiota May Be a Potential Theranostic Tool for Personalized Medicine.

Authors:  Marina Di Domenico; Andrea Ballini; Mariarosaria Boccellino; Salvatore Scacco; Roberto Lovero; Ioannis Alexandros Charitos; Luigi Santacroce
Journal:  J Pers Med       Date:  2022-03-24

Review 3.  Bacteria for Treatment: Microbiome in Bladder Cancer.

Authors:  Kyungchan Min; Hyun Tae Kim; Eun Hye Lee; Hansoo Park; Yun-Sok Ha
Journal:  Biomedicines       Date:  2022-07-25

4.  Forming Consensus To Advance Urobiome Research.

Authors:  Linda Brubaker; Jean-Philippe F Gourdine; Nazema Y Siddiqui; Amanda Holland; Thomas Halverson; Roberto Limeria; David Pride; Lenore Ackerman; Catherine S Forster; Kristin M Jacobs; Krystal J Thomas-White; Catherine Putonti; Qunfeng Dong; Michael Weinstein; Emily S Lukacz; Lisa Karstens; Alan J Wolfe
Journal:  mSystems       Date:  2021-07-20       Impact factor: 6.496

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.