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MLST revisited: the gene-by-gene approach to bacterial genomics
by
McCarthy, Noel D.
, Earle, Sarah G.
, Bray, James E.
, Maiden, Martin C. J.
, van Rensburg, Melissa J. Jansen
, Ford, Suzanne A.
, Jolley, Keith A.
in
631/114/129/2043
/ 631/114/2402
/ 631/114/739
/ 631/326/325
/ Alleles
/ Bacteria
/ Bacteria - classification
/ Bacteria - genetics
/ Bacterial genetics
/ Bacterial Typing Techniques - methods
/ Base Sequence
/ Data processing
/ Databases, Genetic
/ DNA sequencing
/ Enzymes
/ Evolution, Molecular
/ Genes
/ Genetic Variation
/ Genome, Bacterial
/ Genomes
/ Genomics
/ Genomics - methods
/ Infectious Diseases
/ Life Sciences
/ Medical Microbiology
/ Methods
/ Microbiology
/ Multilocus Sequence Typing - methods
/ Mutation
/ Nucleotide sequencing
/ opinion-2
/ Parasitology
/ Pathogens
/ RNA, Bacterial - analysis
/ RNA, Bacterial - genetics
/ RNA, Ribosomal, 16S - analysis
/ RNA, Ribosomal, 16S - genetics
/ Taxonomy
/ Virology
2013
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MLST revisited: the gene-by-gene approach to bacterial genomics
by
McCarthy, Noel D.
, Earle, Sarah G.
, Bray, James E.
, Maiden, Martin C. J.
, van Rensburg, Melissa J. Jansen
, Ford, Suzanne A.
, Jolley, Keith A.
in
631/114/129/2043
/ 631/114/2402
/ 631/114/739
/ 631/326/325
/ Alleles
/ Bacteria
/ Bacteria - classification
/ Bacteria - genetics
/ Bacterial genetics
/ Bacterial Typing Techniques - methods
/ Base Sequence
/ Data processing
/ Databases, Genetic
/ DNA sequencing
/ Enzymes
/ Evolution, Molecular
/ Genes
/ Genetic Variation
/ Genome, Bacterial
/ Genomes
/ Genomics
/ Genomics - methods
/ Infectious Diseases
/ Life Sciences
/ Medical Microbiology
/ Methods
/ Microbiology
/ Multilocus Sequence Typing - methods
/ Mutation
/ Nucleotide sequencing
/ opinion-2
/ Parasitology
/ Pathogens
/ RNA, Bacterial - analysis
/ RNA, Bacterial - genetics
/ RNA, Ribosomal, 16S - analysis
/ RNA, Ribosomal, 16S - genetics
/ Taxonomy
/ Virology
2013
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MLST revisited: the gene-by-gene approach to bacterial genomics
by
McCarthy, Noel D.
, Earle, Sarah G.
, Bray, James E.
, Maiden, Martin C. J.
, van Rensburg, Melissa J. Jansen
, Ford, Suzanne A.
, Jolley, Keith A.
in
631/114/129/2043
/ 631/114/2402
/ 631/114/739
/ 631/326/325
/ Alleles
/ Bacteria
/ Bacteria - classification
/ Bacteria - genetics
/ Bacterial genetics
/ Bacterial Typing Techniques - methods
/ Base Sequence
/ Data processing
/ Databases, Genetic
/ DNA sequencing
/ Enzymes
/ Evolution, Molecular
/ Genes
/ Genetic Variation
/ Genome, Bacterial
/ Genomes
/ Genomics
/ Genomics - methods
/ Infectious Diseases
/ Life Sciences
/ Medical Microbiology
/ Methods
/ Microbiology
/ Multilocus Sequence Typing - methods
/ Mutation
/ Nucleotide sequencing
/ opinion-2
/ Parasitology
/ Pathogens
/ RNA, Bacterial - analysis
/ RNA, Bacterial - genetics
/ RNA, Ribosomal, 16S - analysis
/ RNA, Ribosomal, 16S - genetics
/ Taxonomy
/ Virology
2013
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MLST revisited: the gene-by-gene approach to bacterial genomics
Journal Article
MLST revisited: the gene-by-gene approach to bacterial genomics
2013
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Overview
Assessing the genetic variation of bacteria has become ever more complex as more sequencing data has become available. Here, Maiden and colleagues propose a gene-by-gene approach of analysing whole-genome data; this approach is based on their experience with multilocus sequence typing (MLST) and reflects the functional and evolutionary relationships among bacteria.
Multilocus sequence typing (MLST) was proposed in 1998 as a portable sequence-based method for identifying clonal relationships among bacteria. Today, in the whole-genome era of microbiology, the need for systematic, standardized descriptions of bacterial genotypic variation remains a priority. Here, to meet this need, we draw on the successes of MLST and 16S rRNA gene sequencing to propose a hierarchical gene-by-gene approach that reflects functional and evolutionary relationships and catalogues bacteria 'from domain to strain'. Our gene-based typing approach using online platforms such as the Bacterial Isolate Genome Sequence Database (BIGSdb) allows the scalable organization and analysis of whole-genome sequence data.
Publisher
Nature Publishing Group UK,Nature Publishing Group
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