genomeRxiv: a microbial whole-genome database for classification, identification, and data sharing
poster
posted on 2021-04-12, 13:25 authored by Leighton PritchardLeighton Pritchard, Bailey Harrington, Luiz IrberLuiz Irber, Reza Mazloom, Tessa PierceTessa Pierce, Lenwood HeathLenwood Heath, C. Titus BrownC. Titus Brown, Boris VinatzergenomeRxiv is a newly-funded US-UK collaboration to provide a public,
web-accessible database of public genome sequences, accurately
catalogued and classified by whole-genome similarity independent of
their taxonomic affiliation. Our goal is to supply the basic and applied
research community with rapid, precise and accurate identification of
unknown isolates based on genome sequence alone, and with molecular
tools for environmental analysis.
The DNA sequencing revolution enabled the use of cultured and uncultured microorganism genomes for fast and precise identification. However, precise identification is impossible without
1. reference databases that precisely circumscribe classes of microorganisms, and label these with their uniquely-shared characteristics
2. fast algorithms that can handle the volumes of genome data
Our approach integrates the highly-resolved classification framework of Life Identification Numbers (LINs) with the speed and computational efficiency of sourmash and k-mer hashing algorithms, and the precision and filtering of average nucleotide identity (ANI). We aim to construct a single genome-based indexing scheme that extends from phylum to strain, enabling the unique and consistent placement of any sequenced prokaryote genome.
genomeRxiv includes protocols for confidentiality, allowing groups to identify and announce the identities of newly-sequenced organisms without sharing genome data directly. This protects communities working with commercially- and ethically-sensitive organisms (e.g. production engineering strains, potential bioweapons, and to enable benefit sharing with indigenous communities).
genomeRxiv will also provide online capability to design molecular diagnostic tools for metabarcoding and qPCR, to enable tracking of specific groupings of bacteria directly in the environment.
The DNA sequencing revolution enabled the use of cultured and uncultured microorganism genomes for fast and precise identification. However, precise identification is impossible without
1. reference databases that precisely circumscribe classes of microorganisms, and label these with their uniquely-shared characteristics
2. fast algorithms that can handle the volumes of genome data
Our approach integrates the highly-resolved classification framework of Life Identification Numbers (LINs) with the speed and computational efficiency of sourmash and k-mer hashing algorithms, and the precision and filtering of average nucleotide identity (ANI). We aim to construct a single genome-based indexing scheme that extends from phylum to strain, enabling the unique and consistent placement of any sequenced prokaryote genome.
genomeRxiv includes protocols for confidentiality, allowing groups to identify and announce the identities of newly-sequenced organisms without sharing genome data directly. This protects communities working with commercially- and ethically-sensitive organisms (e.g. production engineering strains, potential bioweapons, and to enable benefit sharing with indigenous communities).
genomeRxiv will also provide online capability to design molecular diagnostic tools for metabarcoding and qPCR, to enable tracking of specific groupings of bacteria directly in the environment.
Funding
19-BBSRC-NSF/BIO genomeRxiv: a microbial whole-genome database & diagnostic marker design resource for classification, identification & data sharing
Biotechnology and Biological Sciences Research Council
Find out more...BBSRC-NSF/BIO:Collaborative Research: genomeRxiv: a microbial whole-genome database and diagnostic marker design resource for classification, identification, and data sharing
Directorate for Biological Sciences
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Keywords
Genomic AnalysissystematicsPhylogeneticsTaxonomic Classificationdatabasesgenomicsmicrobiologymicrobial systematicsaverage nucleotide identityLINslife identification numbersLINflowLINbasesourmashpyanigenomeRxivBioinformaticsComputational BiologyComputational BiologyGenomicsMicrobiologyMicrobial GeneticsBacteriologySpeciation and Extinction