Literature DB >> 28761145

Large-scale differences in microbial biodiversity discovery between 16S amplicon and shotgun sequencing.

Michael Tessler1,2, Johannes S Neumann3, Ebrahim Afshinnekoo4,5,6, Michael Pineda4,5, Rebecca Hersch7, Luiz Felipe M Velho8,9, Bianca T Segovia8, Fabio A Lansac-Toha8, Michael Lemke10, Rob DeSalle7, Christopher E Mason11,12,13, Mercer R Brugler14,15.   

Abstract

Modern metagenomic environmental DNA studies are almost completely reliant on next-generation sequencing, making evaluations of these methods critical. We compare two next-generation sequencing techniques - amplicon and shotgun - on water samples across four of Brazil's major river floodplain systems (Amazon, Araguaia, Paraná, and Pantanal). Less than 50% of phyla identified via amplicon sequencing were recovered from shotgun sequencing, clearly challenging the dogma that mid-depth shotgun recovers more diversity than amplicon-based approaches. Amplicon sequencing also revealed ~27% more families. Overall the amplicon data were more robust across both biodiversity and community ecology analyses at different taxonomic scales. Our work doubles the sampling size in similar environmental studies, and novelly integrates environmental data (e.g., pH, temperature, nutrients) from each site, revealing divergent correlations depending on which data are used. While myriad variants on NGS techniques and bioinformatic pipelines are available, our results point to core differences that have not been highlighted in any studies to date. Given the low number of taxa identified when coupling shotgun data with clade-based taxonomic algorithms, previous studies that quantified biodiversity using such bioinformatic tools should be viewed cautiously or re-analyzed. Nonetheless, shotgun has complementary advantages that should be weighed when designing projects.

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Year:  2017        PMID: 28761145      PMCID: PMC5537354          DOI: 10.1038/s41598-017-06665-3

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


  36 in total

1.  How taxonomic diversity, community structure, and sample size determine the reliability of higher taxon surrogates.

Authors:  Thomas M Neeson; Itai Van Rijn; Yael Mandelik
Journal:  Ecol Appl       Date:  2013-07       Impact factor: 4.657

Review 2.  A guide to the natural history of freshwater lake bacteria.

Authors:  Ryan J Newton; Stuart E Jones; Alexander Eiler; Katherine D McMahon; Stefan Bertilsson
Journal:  Microbiol Mol Biol Rev       Date:  2011-03       Impact factor: 11.056

3.  Comparing High-throughput Platforms for Sequencing the V4 Region of SSU-rDNA in Environmental Microbial Eukaryotic Diversity Surveys.

Authors:  Frédéric Mahé; Jordan Mayor; John Bunge; Jingyun Chi; Tobias Siemensmeyer; Thorsten Stoeck; Benjamin Wahl; Tobias Paprotka; Sabine Filker; Micah Dunthorn
Journal:  J Eukaryot Microbiol       Date:  2014-11-20       Impact factor: 3.346

4.  Data analysis for 16S microbial profiling from different benchtop sequencing platforms.

Authors:  Victor S Pylro; Luiz Fernando W Roesch; Daniel K Morais; Ian M Clark; Penny R Hirsch; Marcos R Tótola
Journal:  J Microbiol Methods       Date:  2014-09-03       Impact factor: 2.363

5.  Comparative metagenomic and rRNA microbial diversity characterization using archaeal and bacterial synthetic communities.

Authors:  Migun Shakya; Christopher Quince; James H Campbell; Zamin K Yang; Christopher W Schadt; Mircea Podar
Journal:  Environ Microbiol       Date:  2013-02-06       Impact factor: 5.491

6.  Metagenomic microbial community profiling using unique clade-specific marker genes.

Authors:  Nicola Segata; Levi Waldron; Annalisa Ballarini; Vagheesh Narasimhan; Olivier Jousson; Curtis Huttenhower
Journal:  Nat Methods       Date:  2012-06-10       Impact factor: 28.547

7.  A tale of three next generation sequencing platforms: comparison of Ion Torrent, Pacific Biosciences and Illumina MiSeq sequencers.

Authors:  Michael A Quail; Miriam Smith; Paul Coupland; Thomas D Otto; Simon R Harris; Thomas R Connor; Anna Bertoni; Harold P Swerdlow; Yong Gu
Journal:  BMC Genomics       Date:  2012-07-24       Impact factor: 3.969

8.  Bioinformatic Amplicon Read Processing Strategies Strongly Affect Eukaryotic Diversity and the Taxonomic Composition of Communities.

Authors:  Markus Majaneva; Kirsi Hyytiäinen; Sirkka Liisa Varvio; Satoshi Nagai; Jaanika Blomster
Journal:  PLoS One       Date:  2015-06-05       Impact factor: 3.240

9.  PhyloSift: phylogenetic analysis of genomes and metagenomes.

Authors:  Aaron E Darling; Guillaume Jospin; Eric Lowe; Frederick A Matsen; Holly M Bik; Jonathan A Eisen
Journal:  PeerJ       Date:  2014-01-09       Impact factor: 2.984

10.  Geospatial Resolution of Human and Bacterial Diversity with City-Scale Metagenomics.

Authors:  Ebrahim Afshinnekoo; Cem Meydan; Shanin Chowdhury; Dyala Jaroudi; Collin Boyer; Nick Bernstein; Julia M Maritz; Darryl Reeves; Jorge Gandara; Sagar Chhangawala; Sofia Ahsanuddin; Amber Simmons; Timothy Nessel; Bharathi Sundaresh; Elizabeth Pereira; Ellen Jorgensen; Sergios-Orestis Kolokotronis; Nell Kirchberger; Isaac Garcia; David Gandara; Sean Dhanraj; Tanzina Nawrin; Yogesh Saletore; Noah Alexander; Priyanka Vijay; Elizabeth M Hénaff; Paul Zumbo; Michael Walsh; Gregory D O'Mullan; Scott Tighe; Joel T Dudley; Anya Dunaif; Sean Ennis; Eoghan O'Halloran; Tiago R Magalhaes; Braden Boone; Angela L Jones; Theodore R Muth; Katie Schneider Paolantonio; Elizabeth Alter; Eric E Schadt; Jeanne Garbarino; Robert J Prill; Jane M Carlton; Shawn Levy; Christopher E Mason
Journal:  Cell Syst       Date:  2015-03-03       Impact factor: 10.304

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  51 in total

1.  Investigation of tylosin in feed of feedlot cattle and effects on liver abscess prevalence, and fecal and soil microbiomes and resistomes1.

Authors:  Margaret D Weinroth; Jennifer N Martin; Enrique Doster; Ifigenia Geornaras; Jennifer K Parker; Clay R Carlson; Jessica L Metcalf; Paul S Morley; Keith E Belk
Journal:  J Anim Sci       Date:  2019-11-04       Impact factor: 3.159

Review 2.  The Microbiome and Chronic Rhinosinusitis.

Authors:  Do-Yeon Cho; Ryan C Hunter; Vijay R Ramakrishnan
Journal:  Immunol Allergy Clin North Am       Date:  2020-01-16       Impact factor: 3.479

Review 3.  A Review of the Scientific Rigor, Reproducibility, and Transparency Studies Conducted by the ABRF Research Groups.

Authors:  Sheenah M Mische; Nancy C Fisher; Susan M Meyn; Katia Sol-Church; Rebecca L Hegstad-Davies; Frances Weis-Garcia; Marie Adams; John M Ashton; Kym M Delventhal; Julie A Dragon; Laura Holmes; Pratik Jagtap; Kristopher E Kubow; Christopher E Mason; Magnus Palmblad; Brian C Searle; Christoph W Turck; Kevin L Knudtson
Journal:  J Biomol Tech       Date:  2020-04

Review 4.  Food allergy and the microbiome: Current understandings and future directions.

Authors:  Supinda Bunyavanich; M Cecilia Berin
Journal:  J Allergy Clin Immunol       Date:  2019-12       Impact factor: 10.793

5.  Comprehensive benchmarking and ensemble approaches for metagenomic classifiers.

Authors:  Alexa B R McIntyre; Rachid Ounit; Ebrahim Afshinnekoo; Robert J Prill; Elizabeth Hénaff; Noah Alexander; Samuel S Minot; David Danko; Jonathan Foox; Sofia Ahsanuddin; Scott Tighe; Nur A Hasan; Poorani Subramanian; Kelly Moffat; Shawn Levy; Stefano Lonardi; Nick Greenfield; Rita R Colwell; Gail L Rosen; Christopher E Mason
Journal:  Genome Biol       Date:  2017-09-21       Impact factor: 13.583

Review 6.  Advances in monitoring soil microbial community dynamic and function.

Authors:  K K Nkongolo; R Narendrula-Kotha
Journal:  J Appl Genet       Date:  2020-02-15       Impact factor: 3.240

7.  Investigating the mycobiome of the Holcomb Creosote Superfund Site.

Authors:  Lauren M Czaplicki; Lauren K Redfern; Ellen M Cooper; P Lee Ferguson; Rytas Vilgalys; Claudia K Gunsch
Journal:  Chemosphere       Date:  2020-03-17       Impact factor: 7.086

8.  Host-derived population genomics data provides insights into bacterial and diatom composition of the killer whale skin.

Authors:  Rebecca Hooper; Jaelle C Brealey; Tom van der Valk; Antton Alberdi; John W Durban; Holly Fearnbach; Kelly M Robertson; Robin W Baird; M Bradley Hanson; Paul Wade; M Thomas P Gilbert; Phillip A Morin; Jochen B W Wolf; Andrew D Foote; Katerina Guschanski
Journal:  Mol Ecol       Date:  2018-10-24       Impact factor: 6.185

Review 9.  Interrogating the bovine reproductive tract metagenomes using culture-independent approaches: a systematic review.

Authors:  Chian Teng Ong; Conny Turni; Patrick J Blackall; Gry Boe-Hansen; Ben J Hayes; Ala E Tabor
Journal:  Anim Microbiome       Date:  2021-06-09

10.  Genome-resolved metagenomics reveals role of iron metabolism in drought-induced rhizosphere microbiome dynamics.

Authors:  Ling Xu; Zhaobin Dong; Dawn Chiniquy; Grady Pierroz; Siwen Deng; Cheng Gao; Spencer Diamond; Tuesday Simmons; Heidi M-L Wipf; Daniel Caddell; Nelle Varoquaux; Mary A Madera; Robert Hutmacher; Adam Deutschbauer; Jeffery A Dahlberg; Mary Lou Guerinot; Elizabeth Purdom; Jillian F Banfield; John W Taylor; Peggy G Lemaux; Devin Coleman-Derr
Journal:  Nat Commun       Date:  2021-05-28       Impact factor: 14.919

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