Population sequencing for phylogenetic diversity and transmission analyses

被引:0
作者
Pearson, Talima [1 ]
Furstenau, Tara [1 ,2 ]
Wood, Colin [1 ]
Rigas, Vanessa [3 ]
Drake, Kylie [1 ]
Sahl, Jason [1 ]
Maltinsky, Sara [1 ]
Currie, Bart J. [3 ,4 ,5 ]
Mayo, Mark [3 ]
Hall, Carina [1 ]
Keim, Paul [1 ]
Fofanov, Viacheslav [1 ,2 ]
机构
[1] No Arizona Univ, Pathogen & Microbiome Inst, Flagstaff, AZ 86011 USA
[2] No Arizona Univ, Sch Informat Comp & Cyber Syst, Hlth & Bioinformat, Flagstaff, AZ 86011 USA
[3] Menzies Sch Hlth Res, Global & Trop Hlth Div, Darwin, NT 0811, Australia
[4] Royal Darwin Hosp, Infect Dis Dept, Darwin, NT 0811, Australia
[5] Royal Darwin Hosp, Northern Terr Med Program, Darwin, NT 0811, Australia
关键词
pathogen population diversity; pathogen evolution; pathogen population sequencing; deep sequencing; pathogen transmission directionality; STAPHYLOCOCCUS-AUREUS; CYSTIC-FIBROSIS; GENOME ANALYSIS; EVOLUTION; DISCOVERY; FRAMEWORK; CARRIAGE; PATHOGEN;
D O I
10.1073/pnas.2424797122
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
Genomic diversity in pathogen populations is foundational for evolution and adaptation. Understanding population- level diversity is also essential for tracking sources and revealing detailed pathways of transmission and spread. For bacteria, culturing, isolating, and sequencing the large number of individual colonies required to adequately sample diversity can be prohibitively time- consuming and expensive. While sequencing directly from a mixed population will show variants among reads, they cannot be linked to reveal allele combinations associated with phylogenetic inheritance patterns. Here, we describe the theory and method for using population sequencing directly from a mixed sample, along with a minimal number of individually sequenced colonies, to describe the phylogenetic diversity of a population without haplotype reconstruction. To demonstrate the utility of population sequencing in capturing phylogenetic diversity, we compared isogenic clones to population sequences of Burkholderia pseudomallei from sputum of a single patient. Our results point to the pathogen population being highly structured, suggesting that for some pathogens, sputum sampling may preserve structuring in the lungs and thus present a noninvasive alternative to understanding colonization, movement, and pathogen/host interactions. We also analyzed population sequences of Staphylococcus aureus derived from different people and different body sites to reveal directionality of transmission between hosts and across body sites, demonstrating the power and utility for characterizing the spread of disease and identification of reservoirs at the finest levels. We anticipate that population sequencing and analysis can be broadly applied to accelerate research in a wide range of fields reliant on a foundational understanding of population phylogenetic diversity.
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