Rapid Genomic Characterization and Global Surveillance of Klebsiella Using Pathogenwatch.
Rapid Genomic Characterization and Global Surveillance of Klebsiella Using Pathogenwatch.
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DOI:
10.1093/cid/ciab784
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发表时间:
2021-12-01
期刊:
影响因子:
--
通讯作者:
NIHR Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance
中科院分区:
文献类型:
--
作者:
Argimón S;David S;Underwood A;Abrudan M;Wheeler NE;Kekre M;Abudahab K;Yeats CA;Goater R;Taylor B;Harste H;Muddyman D;Feil EJ;Brisse S;Holt K;Donado-Godoy P;Ravikumar KL;Okeke IN;Carlos C;Aanensen DM;NIHR Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance
Klebsiella species, including the notable pathogen K. pneumoniae, are increasingly associated with antimicrobial resistance (AMR). Genome-based surveillance can inform interventions aimed at controlling AMR. However, its widespread implementation requires tools to streamline bioinformatic analyses and public health reporting. We developed the web application Pathogenwatch, which implements analytics tailored to Klebsiella species for integration and visualization of genomic and epidemiological data. We populated Pathogenwatch with 16 537 public Klebsiella genomes to enable contextualization of user genomes. We demonstrated its features with 1636 genomes from 4 low- and middle-income countries (LMICs) participating in the NIHR Global Health Research Unit (GHRU) on AMR. Using Pathogenwatch, we found that GHRU genomes were dominated by a small number of epidemic drug-resistant clones of K. pneumoniae. However, differences in their distribution were observed (eg, ST258/512 dominated in Colombia, ST231 in India, ST307 in Nigeria, ST147 in the Philippines). Phylogenetic analyses including public genomes for contextualization enabled retrospective monitoring of their spread. In particular, we identified hospital outbreaks, detected introductions from abroad, and uncovered clonal expansions associated with resistance and virulence genes. Assessment of loci encoding O-antigens and capsule in K. pneumoniae, which represent possible vaccine candidates, showed that 3 O-types (O1–O3) represented 88.9% of all genomes, whereas capsule types were much more diverse. Pathogenwatch provides a free, accessible platform for real-time analysis of Klebsiella genomes to aid surveillance at local, national, and global levels. We have improved representation of genomes from GHRU participant countries, further facilitating ongoing surveillance.
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影响因子:
4.2
作者:
Li, Xin;Ma, Wei;Li, Boan
通讯作者:
Li, Boan
影响因子:
3.9
作者:
Follador R;Heinz E;Wyres KL;Ellington MJ;Kowarik M;Holt KE;Thomson NR
通讯作者:
Thomson NR
影响因子:
16.6
作者:
Lam MMC;Wick RR;Watts SC;Cerdeira LT;Wyres KL;Holt KE
通讯作者:
Holt KE
影响因子:
--
作者:
Jolley KA;Bray JE;Maiden MCJ
通讯作者:
Maiden MCJ
影响因子:
16.6
作者:
Argimón S;Yeats CA;Goater RJ;Abudahab K;Taylor B;Underwood A;Sánchez-Busó L;Wong VK;Dyson ZA;Nair S;Park SE;Marks F;Page AJ;Keane JA;Baker S;Holt KE;Dougan G;Aanensen DM
通讯作者:
Aanensen DM