Investigating the population structure of Moraxella catarrhalis using a cgMLST scheme and LIN code system

Moraxella catarrhalis is an important cause of infectious exacerbations of chronic obstructive pulmonary disease and otitis media. To investigate the population structure of M. catarrhalis, we developed a core-genome multilocus sequence typing (cgMLST) scheme using 1319 core genes, and a life identification number (LIN) barcode classification system. Whole-genome analyses of nearly 2000 genomes confirmed divergent seroresistant (SR) and serosensitive (SS) M. catarrhalis lineages with distinct evolutionary trajectories. SR genomes are more conserved, while SS genomes exhibited greater genetic variability. Virulence gene analyses revealed lineage-specific variations in ubiquitous surface proteins (UspA1 and UspA2) and lipooligosaccharide (LOS) types. The bro β-lactamase, and mcb bacteriocin cluster, are more common in SR lineages, which suggested different selective pressures and adaptation. Here, we show that this cgMLST scheme and LIN code system provide a robust method for characterising M. catarrhalis, distinguish between SR and SS lineages, and offer a unified framework for population structure analyses.

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Publication Details

Journal
Nature Communications
Published
2025-10-17
DOI
https://doi.org/10.1038/s41467-025-64487-8
Citations
1
Primary Topic
Pneumonia and Respiratory Infections
Type
article
Field-Weighted Citation Impact
1.35

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article

Investigating the population structure of Moraxella catarrhalis using a cgMLST scheme and LIN code system

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Nature Communications
Pneumonia and Respiratory Infections
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article

Investigating the population structure of Moraxella catarrhalis using a cgMLST scheme and LIN code system

Angela B. Brueggemann, Veronica Allen, Anna E. Sheppard, Melissa J. Jansen van Rensburg, Lemese Ah Tow, Keith A. Jolley, Fadheela Patel, James E. Bray, Iman Yassine, Martin Maiden, Heather Joy Zar, Mark Patrick Nicol
article en
1 citations

Abstract

Moraxella catarrhalis is an important cause of infectious exacerbations of chronic obstructive pulmonary disease and otitis media. To investigate the population structure of M. catarrhalis, we developed a core-genome multilocus sequence typing (cgMLST) scheme using 1319 core genes, and a life identification number (LIN) barcode classification system. Whole-genome analyses of nearly 2000 genomes confirmed divergent seroresistant (SR) and serosensitive (SS) M. catarrhalis lineages with distinct evolutionary trajectories. SR genomes are more conserved, while SS genomes exhibited greater genetic variability. Virulence gene analyses revealed lineage-specific variations in ubiquitous surface proteins (UspA1 and UspA2) and lipooligosaccharide (LOS) types. The bro β-lactamase, and mcb bacteriocin cluster, are more common in SR lineages, which suggested different selective pressures and adaptation. Here, we show that this cgMLST scheme and LIN code system provide a robust method for characterising M. catarrhalis, distinguish between SR and SS lineages, and offer a unified framework for population structure analyses.

Nature CommunicationsVol. 16(1)
University of Cape Town (ZA), The University of Western Australia (AU), University of Oxford (GB)
Bill and Melinda Gates Foundation, Wellcome Trust, South African Medical Research Council, National Institutes of Health, Medical Research Council
Openalex Percentile: Top 15%
Pneumonia and Respiratory Infections
1.35
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