Literature DB >> 35713407

A comparison of six DNA extraction protocols for 16S, ITS and shotgun metagenomic sequencing of microbial communities.

Justin P Shaffer1, Carolina S Carpenter2,3, Cameron Martino1,3,4, Rodolfo A Salido1,5, Jeremiah J Minich6, MacKenzie Bryant1, Karenina Sanders1, Tara Schwartz1, Gregory Humphrey1, Austin D Swafford3,7, Rob Knight1,3,8,9.   

Abstract

Microbial communities contain a broad phylogenetic diversity of organisms; however, the majority of methods center on describing bacteria and archaea. Fungi are important symbionts in many ecosystems and are potentially important members of the human microbiome, beyond those that can cause disease. To expand our analysis of microbial communities to include data from the fungal internal transcribed spacer (ITS) region, five candidate DNA extraction kits were compared against our standardized protocol for describing bacteria and archaea using 16S rRNA gene amplicon- and shotgun metagenomics sequencing. The results are presented considering a diverse panel of host-associated and environmental sample types and comparing the cost, processing time, well-to-well contamination, DNA yield, limit of detection and microbial community composition among protocols. Across all criteria, the MagMAX Microbiome kit was found to perform best. The PowerSoil Pro kit performed comparably but with increased cost per sample and overall processing time. The Zymo MagBead, NucleoMag Food and Norgen Stool kits were included.

Entities:  

Keywords:  Earth Microbiome Project (EMP); Katharoseq; Macherey-Nagel; MagAttract PowerSoil; high-throughput sequencing; mock community; mycobiome; rRNA; whole genome sequencing

Mesh:

Substances:

Year:  2022        PMID: 35713407      PMCID: PMC9361692          DOI: 10.2144/btn-2022-0032

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   2.746


  49 in total

1.  Every base matters: assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples.

Authors:  Alma E Parada; David M Needham; Jed A Fuhrman
Journal:  Environ Microbiol       Date:  2015-10-14       Impact factor: 5.491

Review 2.  Fungal infections in animals: a patchwork of different situations.

Authors:  Seyedmojtaba Seyedmousavi; Sandra de M G Bosco; Sybren de Hoog; Frank Ebel; Daniel Elad; Renata R Gomes; Ilse D Jacobsen; Henrik Elvang Jensen; An Martel; Bernard Mignon; Frank Pasmans; Elena Piecková; Anderson Messias Rodrigues; Karuna Singh; Vania A Vicente; Gudrun Wibbelt; Nathan P Wiederhold; Jacques Guillot
Journal:  Med Mycol       Date:  2018-04-01       Impact factor: 4.076

3.  A Diverse Soil Microbiome Degrades More Crude Oil than Specialized Bacterial Assemblages Obtained in Culture.

Authors:  Terrence H Bell; Franck O P Stefani; Katrina Abram; Julie Champagne; Etienne Yergeau; Mohamed Hijri; Marc St-Arnaud
Journal:  Appl Environ Microbiol       Date:  2016-08-30       Impact factor: 4.792

4.  Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns.

Authors:  Amnon Amir; Daniel McDonald; Jose A Navas-Molina; Evguenia Kopylova; James T Morton; Zhenjiang Zech Xu; Eric P Kightley; Luke R Thompson; Embriette R Hyde; Antonio Gonzalez; Rob Knight
Journal:  mSystems       Date:  2017-03-07       Impact factor: 6.496

5.  KatharoSeq Enables High-Throughput Microbiome Analysis from Low-Biomass Samples.

Authors:  Jeremiah J Minich; Qiyun Zhu; Stefan Janssen; Ryan Hendrickson; Amnon Amir; Russ Vetter; John Hyde; Megan M Doty; Kristina Stillwell; James Benardini; Jae H Kim; Eric E Allen; Kasthuri Venkateswaran; Rob Knight
Journal:  mSystems       Date:  2018-03-13       Impact factor: 6.496

6.  A communal catalogue reveals Earth's multiscale microbial diversity.

Authors:  Luke R Thompson; Jon G Sanders; Daniel McDonald; Amnon Amir; Joshua Ladau; Kenneth J Locey; Robert J Prill; Anupriya Tripathi; Sean M Gibbons; Gail Ackermann; Jose A Navas-Molina; Stefan Janssen; Evguenia Kopylova; Yoshiki Vázquez-Baeza; Antonio González; James T Morton; Siavash Mirarab; Zhenjiang Zech Xu; Lingjing Jiang; Mohamed F Haroon; Jad Kanbar; Qiyun Zhu; Se Jin Song; Tomasz Kosciolek; Nicholas A Bokulich; Joshua Lefler; Colin J Brislawn; Gregory Humphrey; Sarah M Owens; Jarrad Hampton-Marcell; Donna Berg-Lyons; Valerie McKenzie; Noah Fierer; Jed A Fuhrman; Aaron Clauset; Rick L Stevens; Ashley Shade; Katherine S Pollard; Kelly D Goodwin; Janet K Jansson; Jack A Gilbert; Rob Knight
Journal:  Nature       Date:  2017-11-01       Impact factor: 49.962

7.  High-Throughput Miniaturized 16S rRNA Amplicon Library Preparation Reduces Costs while Preserving Microbiome Integrity.

Authors:  Jeremiah J Minich; Greg Humphrey; Rodolfo A S Benitez; Jon Sanders; Austin Swafford; Eric E Allen; Rob Knight
Journal:  mSystems       Date:  2018-11-06       Impact factor: 6.496

8.  The fungal mycobiome promotes pancreatic oncogenesis via activation of MBL.

Authors:  Berk Aykut; Smruti Pushalkar; Ruonan Chen; Qianhao Li; Raquel Abengozar; Jacqueline I Kim; Sorin A Shadaloey; Dongling Wu; Pamela Preiss; Narendra Verma; Yuqi Guo; Anjana Saxena; Mridula Vardhan; Brian Diskin; Wei Wang; Joshua Leinwand; Emma Kurz; Juan A Kochen Rossi; Mautin Hundeyin; Constantinos Zambrinis; Xin Li; Deepak Saxena; George Miller
Journal:  Nature       Date:  2019-10-02       Impact factor: 49.962

9.  Multi-kingdom microbiota analyses identify bacterial-fungal interactions and biomarkers of colorectal cancer across cohorts.

Authors:  Ning-Ning Liu; Na Jiao; Jing-Cong Tan; Ziliang Wang; Dingfeng Wu; An-Jun Wang; Jie Chen; Liwen Tao; Chenfen Zhou; Wenjie Fang; Io Hong Cheong; Weihua Pan; Wanqing Liao; Zisis Kozlakidis; Christopher Heeschen; Geromy G Moore; Lixin Zhu; Xingdong Chen; Guoqing Zhang; Ruixin Zhu; Hui Wang
Journal:  Nat Microbiol       Date:  2022-01-27       Impact factor: 30.964

10.  Phylogeny-Aware Analysis of Metagenome Community Ecology Based on Matched Reference Genomes while Bypassing Taxonomy.

Authors:  Qiyun Zhu; Shi Huang; Antonio Gonzalez; Imran McGrath; Daniel McDonald; Niina Haiminen; George Armstrong; Yoshiki Vázquez-Baeza; Julian Yu; Justin Kuczynski; Gregory D Sepich-Poore; Austin D Swafford; Promi Das; Justin P Shaffer; Franck Lejzerowicz; Pedro Belda-Ferre; Aki S Havulinna; Guillaume Méric; Teemu Niiranen; Leo Lahti; Veikko Salomaa; Ho-Cheol Kim; Mohit Jain; Michael Inouye; Jack A Gilbert; Rob Knight
Journal:  mSystems       Date:  2022-04-04       Impact factor: 7.324

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