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Title: Microbial Community Analysis with Ribosomal Gene Fragments from Shotgun Metagenomes

Journal Article · · Applied and Environmental Microbiology
DOI:https://doi.org/10.1128/AEM.02772-15· OSTI ID:1470720
 [1];  [1];  [1];  [2];  [1]
  1. Michigan State Univ., East Lansing, MI (United States)
  2. Michigan State Univ., East Lansing, MI (United States); Univ. of California, Davis, CA (United States)

Shotgun metagenomic sequencing does not depend on gene-targeted primers or PCR amplification; thus, it is not affected by primer bias or chimeras. However, searching rRNA genes from large shotgun Illumina data sets is computationally expensive, and no approach exists for unsupervised community analysis of small-subunit (SSU) rRNA gene fragments retrieved from shotgun data. We present a pipeline, SSUsearch, to achieve the faster identification of short-subunit rRNA gene fragments and enabled unsupervised community analysis with shotgun data. It also includes classification and copy number correction, and the output can be used by traditional amplicon analysis platforms. Shotgun metagenome data using this pipeline yielded higher diversity estimates than amplicon data but retained the grouping of samples in ordination analyses. We applied this pipeline to soil samples with paired shotgun and amplicon data and confirmed bias against Verrucomicrobia in a commonly used V6-V8 primer set, as well as discovering likely bias against Actinobacteria and for Verrucomicrobia in a commonly used V4 primer set. In conclusion, this pipeline can utilize all variable regions in SSU rRNA and also can be applied to large-subunit (LSU) rRNA genes for confirmation of community structure.

Research Organization:
Michigan State Univ., East Lansing, MI (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC0004601
OSTI ID:
1470720
Journal Information:
Applied and Environmental Microbiology, Vol. 82, Issue 1; ISSN 0099-2240
Publisher:
American Society for MicrobiologyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 42 works
Citation information provided by
Web of Science

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Cited By (12)

Large-scale differences in microbial biodiversity discovery between 16S amplicon and shotgun sequencing journal July 2017
Taxonomy of anaerobic digestion microbiome reveals biases associated with the applied high throughput sequencing strategies journal January 2018
Soil hydrology drives ecological niche differentiation in a native prairie microbiome journal October 2019
CaptureSeq: Capture-based enrichment of cpn60 gene fragments empowers pan-Domain profiling of microbial communities without universal PCR preprint August 2020
Arbuscular mycorrhizal fungi promote coexistence and niche divergence of sympatric palm species on a remote oceanic island journal October 2017
High-throughput DNA sequencing technologies for water and wastewater analysis journal October 2019
Uncovering the trimethylamine-producing bacteria of the human gut microbiota journal May 2017
Verrucomicrobia are prevalent in north-temperate freshwater lakes and display class-level preferences between lake habitats journal March 2018
DNA Sequencing as a Tool to Monitor Marine Ecological Status journal May 2017
New Biological Insights Into How Deforestation in Amazonia Affects Soil Microbial Communities Using Metagenomics and Metagenome-Assembled Genomes journal July 2018
JGI QC impact on assembly, binning, phylogenomics, and functional analysis dataset January 2021
Impact of BBDuk metagenomic read trimming and decontamination dataset January 2021

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