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Journal ArticleDOI

Integrating genomics into the taxonomy and systematics of the Bacteria and Archaea.

TLDR
This special issue of International Journal of Systematic and Evolutionary Microbiology contains both original research and review articles covering the use of genomic sequence data in microbial taxonomy and systematics, and outlines of approaches for incorporating genomics into new strain isolation to new taxon description workflows.
Abstract
The polyphasic approach used today in the taxonomy and systematics of the Bacteria and Archaea includes the use of phenotypic, chemotaxonomic and genotypic data. The use of 16S rRNA gene sequence data has revolutionized our understanding of the microbial world and led to a rapid increase in the number of descriptions of novel taxa, especially at the species level. It has allowed in many cases for the demarcation of taxa into distinct species, but its limitations in a number of groups have resulted in the continued use of DNA-DNA hybridization. As technology has improved, next-generation sequencing (NGS) has provided a rapid and cost-effective approach to obtaining whole-genome sequences of microbial strains. Although some 12,000 bacterial or archaeal genome sequences are available for comparison, only 1725 of these are of actual type strains, limiting the use of genomic data in comparative taxonomic studies when there are nearly 11,000 type strains. Efforts to obtain complete genome sequences of all type strains are critical to the future of microbial systematics. The incorporation of genomics into the taxonomy and systematics of the Bacteria and Archaea coupled with computational advances will boost the credibility of taxonomy in the genomic era. This special issue of International Journal of Systematic and Evolutionary Microbiology contains both original research and review articles covering the use of genomic sequence data in microbial taxonomy and systematics. It includes contributions on specific taxa as well as outlines of approaches for incorporating genomics into new strain isolation to new taxon description workflows.

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Journal ArticleDOI

Introducing EzBioCloud: a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies.

TL;DR: An integrated database, called EzBioCloud, that holds the taxonomic hierarchy of the Bacteria and Archaea, which is represented by quality-controlled 16S rRNA gene and genome sequences, with accompanying bioinformatics tools.
Journal ArticleDOI

A large-scale evaluation of algorithms to calculate average nucleotide identity

TL;DR: ANI calculation can be greatly sped up by the OrthoANIu method without losing accuracy, and when genomes that are larger than 7 Mbp were analysed, the run-times of ANIm and Orthoaniu were shorter than that of ANIb by 53- and 22-fold, respectively.
Journal ArticleDOI

OrthoANI: An improved algorithm and software for calculating average nucleotide identity.

TL;DR: A new algorithm, named OrthoANI, was developed to accommodate the concept of orthology for which both genome sequences were fragmented and only orthologous fragment pairs taken into consideration for calculating nucleotide identities, providing a more robust and faster means of calculating average nucleotide identity for taxonomic purposes.
Journal ArticleDOI

JSpeciesWS: a web server for prokaryotic species circumscription based on pairwise genome comparison.

TL;DR: The JSpeciesWS service indicates whether two genomes share genomic identities above or below the species embracing thresholds, and serves as a fast way to allocate unknown genomes in the frame of the hitherto sequenced species.
References
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Journal ArticleDOI

Basic Local Alignment Search Tool

TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
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BLAST+: architecture and applications.

TL;DR: The new BLAST command-line applications, compared to the current BLAST tools, demonstrate substantial speed improvements for long queries as well as chromosome length database sequences.
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BLAT—The BLAST-Like Alignment Tool

TL;DR: How BLAT was optimized is described, which is more accurate and 500 times faster than popular existing tools for mRNA/DNA alignments and 50 times faster for protein alignments at sensitivity settings typically used when comparing vertebrate sequences.
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