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Accurate and universal delineation of prokaryotic species

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TLDR
The specI (species identification tool) as mentioned in this paper ) is a method to group organisms into species clusters based on 40 universal, single-copy phylogenetic marker genes, applied to 3,496 prokaryotic genomes, specI identified 1,753 species clusters.
Abstract
The exponentially increasing number of sequenced genomes necessitates fast, accurate, universally applicable and automated approaches for the delineation of prokaryotic species. We developed specI (species identification tool; http://www.bork.embl.de/software/specI/), a method to group organisms into species clusters based on 40 universal, single-copy phylogenetic marker genes. Applied to 3,496 prokaryotic genomes, specI identified 1,753 species clusters. Of 314 discrepancies with a widely used taxonomic classification, >62% were resolved by literature support.

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Metagenomic sequencing reveals altered gut microbiota of sojourners at high altitude: a longitudinal study

TL;DR: Under the stressful and hypoxic environment of extreme altitudes, associated microbial variation with altered metabolic pathways, reveals the influence of extreme environment on human gut microbiota with the predominance of Prevotella.
Journal ArticleDOI

High-Quality Draft Genome Sequence of Bacillus subtilis Strain WAUSV36

TL;DR: Bacterial strain WAUSV36 inhibits the growth of and decreases disease symptoms caused by the potato pathogen Phytophthora infestans and shared very high nucleotide sequence identity with previously sequenced strains of B. subtilis.
Journal ArticleDOI

Draft Genome Sequences of Two Paenibacillus Isolates from Goose and Chicken Gastrointestinal Material.

TL;DR: The draft genome sequences of two Paenibacillus strains, An7 and USDA918EY, isolated from goose feces (Bend, OR, USA) and chicken ceca (Pomona, CA, USA), respectively, are presented to assist with analyses of microorganisms associated with free-ranging and commercial avian species.
Journal ArticleDOI

Community structure and metabolic potentials of the traditional rice beer starter ‘emao’

TL;DR: In this paper, a shot-gun whole-metagenome sequencing technology was used to detect enzymes that are known to catalyze saccharification, lignocellulose degradation, and biofuel production indicating the presence of metabolic functionome in the emao.
Posted ContentDOI

A Genomic Census of the Chicken Gut Microbiome using Metagenomics and Culture

TL;DR: This work exploits culture-independent and culture-dependent approaches to deliver a genomic blueprint of the chicken gut associated microbiome, encompassing dozens of novel candidate bacterial genera and hundreds of novel species.
References
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Journal ArticleDOI

Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

TL;DR: A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original.
Journal ArticleDOI

Search and clustering orders of magnitude faster than BLAST

Robert C. Edgar
- 01 Oct 2010 - 
TL;DR: UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters and offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets.
Book

Bergey's Manual of Systematic Bacteriology

TL;DR: BCL3 and Sheehy cite Bergey's manual of determinative bacteriology of which systematic bacteriology, first edition, is an expansion.
Journal ArticleDOI

RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models

TL;DR: UNLABELLED RAxML-VI-HPC (randomized axelerated maximum likelihood for high performance computing) is a sequential and parallel program for inference of large phylogenies with maximum likelihood (ML) that has been used to compute ML trees on two of the largest alignments to date.
Journal ArticleDOI

Improved tools for biological sequence comparison.

TL;DR: Three computer programs for comparisons of protein and DNA sequences can be used to search sequence data bases, evaluate similarity scores, and identify periodic structures based on local sequence similarity.
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