Disease surveillance in recombining pathogens:: Multilocus genotypes identify sources of human Coccidioides infections

被引:36
作者
Fisher, MC
Rannala, B
Chaturvedi, V
Taylor, JW
机构
[1] Zool Soc London, Inst Zool, London NW1 4RY, England
[2] Univ Alberta, Dept Med Genet, Edmonton, AB T6G 2H7, Canada
[3] New York State Dept Hlth, Wadsworth Ctr Labs & Res, Mycol Lab, Albany, NY 12201 USA
[4] Univ Calif Berkeley, Dept Plant & Microbial Biol, Berkeley, CA 94720 USA
关键词
D O I
10.1073/pnas.132178099
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Molecular surveillance of pathogenic microbes works by genotyping isolates with DNA fingerprinting techniques and then using these genotypes to assign individuals to populations. Clonality is assumed in many fingerprinting studies, although this assumption has been shown to be false for many organisms. To accommodate recombining organisms into surveillance programs, methods using population allele frequencies in combination with individual multilocus genotypes are necessary. Here, we develop a statistical method appropriate for haploid recombining microbes that allows individuals to be assigned to populations. We illustrate the usefulness of this technique by inferring the source populations for Coccidioides isolates recovered from patients treated outside the endemic area of Coccidioides sp., the etiological agents of human coccidioidomycosis, but with a travel history including visits to one or more endemic areas.
引用
收藏
页码:9067 / 9071
页数:5
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