Neisseria gonorrhoeae LIN codes: a Robust, Multi-Resolution Lineage Nomenclature

Abstract Investigation of the bacterial pathogen Neisseria gonorrhoeae is complicated by extensive horizontal gene transfer: a process which disrupts phylogenetic signals and impedes our understanding of population structure. The ability to consistently identify N. gonorrhoeae lineages is important for surveillance of this increasingly antimicrobial resistant organism, facilitating efficient communication regarding its epidemiology; however, conventional typing systems fail to reflect N. gonorrhoeae strain taxonomy in a reliable and stable manner. Here, a N. gonorrhoeae genomic lineage nomenclature, based on the barcoding system of Life Identification Number (LIN) codes, was developed using a refined 1430 core gene MLST (cgMLST). This hierarchical LIN code nomenclature conveys lineage information at multiple levels of resolution within one code, enabling it to provide immediate context to an isolate’s ancestry, and to relate to familiar, previously used typing schemes such as Ng cgMLST v1, 7-locus MLST, or NG-STAR clonal complex (CC). Clustering with LIN codes accurately reflects gonococcal diversity and population structure, providing insight into associations between genotype and phenotype for traits such as antibiotic resistance. These codes are automatically assigned and publicly accessible via the pubmlst.org/organisms/neisseria-spp database.

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Publication Details

Published
2025-08-27
DOI
https://doi.org/10.7554/elife.107758.1
Citations
4
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
3.22

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article

Neisseria gonorrhoeae LIN codes: a Robust, Multi-Resolution Lineage Nomenclature

Odile B. Harrison, Keith A. Jolley, Made Ananda Krisna, Anastasia Unitt et al.
4 citations
Genomics and Phylogenetic Studies
3.22
article

Neisseria gonorrhoeae LIN codes: a Robust, Multi-Resolution Lineage Nomenclature

Odile B. Harrison, Keith A. Jolley, Made Ananda Krisna, Anastasia Unitt, Martin Maiden, Kasia M Parfitt
article en
4 citations

Abstract

Abstract Investigation of the bacterial pathogen Neisseria gonorrhoeae is complicated by extensive horizontal gene transfer: a process which disrupts phylogenetic signals and impedes our understanding of population structure. The ability to consistently identify N. gonorrhoeae lineages is important for surveillance of this increasingly antimicrobial resistant organism, facilitating efficient communication regarding its epidemiology; however, conventional typing systems fail to reflect N. gonorrhoeae strain taxonomy in a reliable and stable manner. Here, a N. gonorrhoeae genomic lineage nomenclature, based on the barcoding system of Life Identification Number (LIN) codes, was developed using a refined 1430 core gene MLST (cgMLST). This hierarchical LIN code nomenclature conveys lineage information at multiple levels of resolution within one code, enabling it to provide immediate context to an isolate’s ancestry, and to relate to familiar, previously used typing schemes such as Ng cgMLST v1, 7-locus MLST, or NG-STAR clonal complex (CC). Clustering with LIN codes accurately reflects gonococcal diversity and population structure, providing insight into associations between genotype and phenotype for traits such as antibiotic resistance. These codes are automatically assigned and publicly accessible via the pubmlst.org/organisms/neisseria-spp database.

University of Oxford (GB)
Wellcome Trust, University of Oxford, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 8%
Genomics and Phylogenetic Studies
3.22
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