KlebNET-GSP

A global genomic surveillance platform for Klebsiella pneumoniae

The aim of KlebNET-GSP is to provide the scientific community with a unified genomic surveillance platform with tailored analytics for the Klebsiella pneumoniae species complex (KpSC). We also aim to develop an international network of scientists involved in Klebsiella research and build capacity in genomics.

News

Filter

Preprint

Kaptive v3 preprint now available

9 February 2025
The Kaptive v3 code was released a few months back. Now in this preprint, we describe the updates to methodology, and quantify the improvements to performance in terms of speed…
Software

Kleborate v3 code and tutorial released

13 December 2024
A new version of Kleborate, our Klebsiella-focused genotyping tool, has been released! Version 3 is faster, mainly because of updates to Kaptive which we use for capsule (K) and O…
Software

Kaptive v3 code and tutorial released

13 December 2024
Version 3 of Kaptive, our tool for Klebsiella pneumoniae K & O typing, is now available! The new version is much faster (seconds rather than minutes per genome) and handles…
Resource

Neonatal sepsis genome collection now available in Pathogenwatch

13 December 2024
Nearly 1000 Klebsiella pneumoniae genomes associated with neonatal sepsis are now available for interactive exploration and download as a collection in Pathogenwatch.
Publication

KlebNET-GSP AMR Geno-Pheno Group publishes first paper

13 December 2024
Since every K. pneumoniae genome has an intrinsic SHV β-lactamase and may also carry additional mobile forms, the correct interpretation of blaSHV genes detected in genome data can be challenging and can lead to K.…
Resource

Genotype data for public Klebsiella reference strains

4 September 2024
GitHub - klebgenomics/Public-Klebsiella-Reference-Strains: A genomic resource of Klebsiella reference strains from ATCC, NCTC and BEI Resources MRSN Diversity Panel. Check it out at: https://github.com/klebgenomics/Public-Klebsiella-Reference-Strains

About KlebNET-GSP

What is Klebsiella pneumoniae?

Klebsiella pneumoniae is a Gram-negative bacterium and a major human pathogen. It is part of a species complex which also comprises other disease-causing species including Klebsiella quasipneumoniae and Klebsiella variicola.

K. pneumoniae and the related species cause a wide range of infections that can be hospital-acquired (HA) such as sepsis, pneumonia, urinary tract and wound infections. These occur most commonly among neonates, the elderly and immunocompromised patients. HA isolates are often resistant to multiple antibiotics, leading to the classification of K. pneumoniae by the World Health Organisation as a “critical” priority pathogen for which new antibiotics are urgently needed. Of particular concern are the increasing rates of resistance to carbapenems, a class of antibiotics that are vital for the treatment of severe infections.

K. pneumoniae is also responsible for community-acquired (CA) infections, including pneumonia, endophthalmitis and pyogenic liver abscess. These infections are often severe and can occur in otherwise healthy individuals. CA isolates commonly carry a repertoire of virulence genes such as siderophores. Moreover, infections involving strains with high levels of both resistance and virulence have now also been reported, leading to concern over a potential rise of serious untreatable infections.

Members of the species complex, including K. pneumoniae, are also important agents of disease in animals, particularly in livestock (e.g. bovine mastitis). They are isolated at high rates from environmental and water samples. It is therefore pivotal to apply a One Health approach to Klebsiella research and genomic surveillance in order to fully understand the ecology of these pathogens.

What is genomic surveillance?

Genomic surveillance has become fundamental to our understanding of pathogen ecology and disease dynamics. In K. pneumoniae, genomic surveillance is a useful tool to monitor which lineages are causing disease in different countries and settings (HA or CA), and how these lineages are emerging and evolving, particularly with regards to acquisition of antimicrobial resistance and virulence genes. It can also be used to assess the diversity of serological markers, including K (capsule) and O antigens (LPS), which are potential vaccine candidates.

The availability of harmonised platforms for global genomic surveillance is key to developing a common understanding of pathogen evolution and emerging risks, and to informing control strategies.

What are the aims of KlebNET-GSP?

The primary aim of this project is to develop a comprehensive platform for global surveillance of the Klebsiella pneumoniae species complex that supports analysis of genomic data by the community. We will be developing the different analytics and features of this platform with a key objective of informing vaccine development. In particular, we will further develop and integrate existing tools including Pathogenwatch, Kleborate and BIGSdb (see below for more details), linking these also with the public sequence archives (e.g. the European Nucleotide Archive) for easy exchange of data. We also aim to improve the analytics available for Klebsiella surveillance, for example by improving our ability to predict key phenotypes such as resistance, virulence and serotype from the genotype, and developing genome-based nomenclature schemes.

We envisage that our combined scientific and technical advances will facilitate reporting of Klebsiella for public health surveillance at local, national and global scales, enabling crucial development and monitoring of interventions (e.g., vaccines). 

Principal Investigators

Kathryn Holt

Professor, LSHTM

Holt Lab

Keith Jolley

Senior Researcher, Oxford

Maiden Lab

Sylvain Brisse

Professor, Institut Pasteur

Brisse Group

Kelly Wyres

Assoc Professor, Monash

Wyres Lab

David Aanensen

Professor, Oxford

Aanensen Group

Andrew McArthur

David Braley Chair, McMaster

McArthur Lab

Angela Dramowski

Professor, Stellenbosch

Dramowski Profile

Sascha Ott

Professor, Warwick

Warwick Bioinformatics & Digital Health Services

Andrew Whitelaw

Professor, Stellenbosch

Whitelaw Lab

KlebNET Team

Mary Maranga

Research Fellow

Kara Tsang

Research Fellow

Sophia David

Postdoctoral Fellow

Laura Phillips

Research Fellow

Mae Newton-Foot

Medical Scientist

Charlene Rodrigues

Postdoctoral Scientist

Tom Stanton

Research Fellow

Erkison Ewomazino Odih

Research Fellow

Larisse Bolton

Research Fellow

Nabil-Fareed Alikhan

Senior Bioinformatician

Chiara Crestani

Project Manager

Margaret Lam

Research Fellow

Martin Rethoret-Pasty

Computational Biologist

Chanté Brand

Research Fellow

Richard Stark

Bioinformatics Manager

Corin Yeats

Computational Biologist

Armen Ovsepian

Research Fellow

Hina Salimuddin

Research Fellow

Diana Connor

Project Manager

Ebenezer Foster-Nyarko

Research Fellow

José Delgado Blas

Research Fellow

Shaojie Bao

Project Coordinator

Khalil Abu-Dahab

Web Software Engineer

K. pneumoniae Genomes

The geographical origin of the K. pneumoniae genomic data in our integrated platform (Dec 2021). Note that K. pneumoniae is taken in the broad sense, i.e., the K. pneumoniae Species Complex (including K. variicola and other related taxa).

The Tools

Kleborate is a tool to screen genome assemblies of the K. pneumoniae species complex for genotypic markers that are of clinical and public health importance. It can be run on the command-line or via the Pathogenwatch application, and its AMR and virulence gene schemes are integrated within  BIGSdb-Pasteur.

Further details can be found in the associated publication and user documentation.

Pathogenwatch is a web application that provides tailored genome analytics for a range of bacterial (and other) species, including those from the Klebsiella pneumoniae species complex, as well as visualisation tools for the integration of these analytics with epidemiological data.

Further details can be found in the associated publication  and user documentation.

BIGSdb-Pasteur is a web-based platform that hosts a collection of curated databases of genome sequences and genotypes and provides universally accessible nomenclatures for referencing and comparing bacterial strains.

The platform is built on the BIGSdb software developed by Keith Jolley. Further information can be found in the associated publication and user documentation.

Please refer to  Kaptive for capsule and LPS locus typing of Klebsiella, further information can be found in the associated publication and user documentation.

 

 

LIN codes are numerical codes given to bacteria based on genomic fingerprinting With LIN codes, every bacterial strain has its own identifier (a short code similar to a barcode) which is easy to share and use and also indicates how much different strains are related to each other. Using LIN codes is a great way to make epidemiological surveillance simpler, more flexible and more reactive.

 

For full LIN codes concept, please watch a general public video at: https://www.youtube.com/watch?v=xRqydUyLcr8

 

please visit the genomic taxonomy platform BIGSb-Pasteur: https://bigsdb.pasteur.fr/

 

(see also : Preprint by Palma et al., bioRxiv, 2024 doi: https://doi.org/10.1101/2024.03.11.58….

Collaborative Consortium Projects

We coordinate collaborative consortia and meta-analyses related to Klebsiella genomics, aiming to strengthen the evidence base for interpreting genomic surveillance data. This includes the KlebNET-GSP AMR Genotype/Phenotype Consortium exploring the interpretation of antimicrobial resistance genotypes; as well as groups focused on developing a genomic risk framework, neonatal sepsis antigen distributions, and neonatal sepsis transmission dynamics

Workshops and bioinformatics training

We will hold symposia and workshops with project partners and researchers conducting clinical, public health and environmental surveillance of Klebsiella. These will seek input into the platform development to enhance its utility and adoption. We will also offer bioinformatic training. Online workshops will aim to improve participants’ understanding of key principles and methods in genomic epidemiology, and provide hands-on practical guidance on the use of bioinformatic tools for data analysis and visualisation.

Supported by the University of Oxford, Institut Pasteur and the London School of Hygiene & Tropical Medicine

Funded in part by the Gates Foundation