The role of pathogen genomics in assessing disease transmission

被引:49
作者
Sintchenko, Vitali [1 ,2 ,3 ]
Holmes, Edward C. [1 ,2 ,4 ]
机构
[1] Univ Sydney, Marie Bashir Inst Infect Dis & Biosecur, Sydney, NSW 2006, Australia
[2] Univ Sydney, Sydney Med Sch, Sydney, NSW 2006, Australia
[3] Westmead Hosp, Ctr Infect Dis & Microbiol Publ Hlth, Inst Clin Pathol & Med Res Pathol West, Sydney, NSW 2145, Australia
[4] Univ Sydney, Charles Perkins Ctr, Sch Biol Sci, Sydney, NSW 2006, Australia
来源
BMJ-BRITISH MEDICAL JOURNAL | 2015年 / 350卷
基金
英国医学研究理事会;
关键词
RESISTANT STAPHYLOCOCCUS-AUREUS; MYCOBACTERIUM-TUBERCULOSIS; CLINICAL MICROBIOLOGY; EVOLUTIONARY DYNAMICS; PATIENT TRANSMISSION; POPULATION GENOMICS; MOLECULAR EVOLUTION; BACTERIAL PATHOGENS; YERSINIA-PESTIS; SHIGELLA-SONNEI;
D O I
10.1136/bmj.h1314
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Whole genome sequencing (WGS) of pathogens enables the sources and patterns of transmission to be identified during specific disease outbreaks and promises to transform epidemiological research on communicable diseases. This review discusses new insights into disease spread and transmission that have come from the use of WGS, particularly when combined with genomic scale phylogenetic analyses. These include elucidation of the mechanisms of cross species transmission, the potential modes of pathogen transmission, and which people in the population contribute most to transmission. Particular attention is paid to the ability of WGS to resolve individual patient to patient transmission events. Importantly, WGS data seem to be sufficiently discriminatory to target cases linked to community or hospital contacts and hence prevent further spread, and to investigate genetically related cases without a clear epidemiological link. Approaches to combine evidence from epidemiological with genomic sequencing observations are summarised. Ongoing genomic surveillance can identify determinants of transmission, monitor pathogen evolution and adaptation, ensure the accurate and timely diagnosis of infections with epidemic potential, and refine strategies for their control.
引用
收藏
页数:13
相关论文
共 138 条
[1]  
Aarestrup Frank M, 2012, Emerg Infect Dis, V18, pe1, DOI 10.3201/eid/1811.120453
[2]   Opinion - Genomic fluidity and pathogenic bacteria: applications in diagnostics, epidemiology and intervention [J].
Ahmed, Niyaz ;
Dobrindt, Ulrich ;
Hacker, Joerg ;
Hasnain, Seyed E. .
NATURE REVIEWS MICROBIOLOGY, 2008, 6 (05) :387-394
[3]   Venezuelan encephalitis emergence mediated by a phylogenetically predicted viral mutation [J].
Anishchenko, M ;
Bowen, RA ;
Paessler, S ;
Austgen, L ;
Greene, IP ;
Weaver, SC .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (13) :4994-4999
[4]  
Aring
[5]   Microevolution during an Anthrax Outbreak Leading to Clonal Heterogeneity and Penicillin Resistance [J].
Aogren, Joakim ;
Finn, Maria ;
Bengtsson, Bjorn ;
Segerman, Bo .
PLOS ONE, 2014, 9 (02)
[6]   Evidence for Camel-to-Human Transmission of MERS Coronavirus [J].
Azhar, Esam I. ;
El-Kafrawy, Sherif A. ;
Farraj, Suha A. ;
Hassan, Ahmed M. ;
Al-Saeed, Muneera S. ;
Hashem, Anwar M. ;
Madani, Tariq A. .
NEW ENGLAND JOURNAL OF MEDICINE, 2014, 370 (26) :2499-2505
[7]  
Aziz N, 2014, ARCH PATHOL LAB MED
[8]   Network medicine: a network-based approach to human disease [J].
Barabasi, Albert-Laszlo ;
Gulbahce, Natali ;
Loscalzo, Joseph .
NATURE REVIEWS GENETICS, 2011, 12 (01) :56-68
[9]   Genome hyperevolution and the success of a parasite [J].
Barry, J. David ;
Hall, James P. J. ;
Plenderleith, Lindsey .
EFFECTS OF GENOME STRUCTURE AND SEQUENCE ON VARIATION AND EVOLUTION, 2012, 1267 :11-17
[10]   Next-generation sequencing technologies in diagnostic virology [J].
Barzon, Luisa ;
Lavezzo, Enrico ;
Costanzi, Giulia ;
Franchin, Elisa ;
Toppo, Stefano ;
Palu, Giorgio .
JOURNAL OF CLINICAL VIROLOGY, 2013, 58 (02) :346-350