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Integrated analysis of population genomics, transcriptomics and virulence provides novel insights into Streptococcus pyogenes pathogenesis.

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Authors
Kachroo, Priyanka
Eraso, Jesus M
Beres, Stephen B
Olsen, Randall J
Zhu, Luchang
Nasser, Waleed
Bernard, Paul E
Cantu, Concepcion C
Saavedra, Matthew Ojeda
Arredondo, María José
Strope, Benjamin
Do, Hackwon
Kumaraswami, Muthiah
Vuopio, Jaana
Gröndahl-Yli-Hannuksela, Kirsi
Kristinsson, Karl G
Gottfredsson, Magnus
Pesonen, Maiju
Pensar, Johan
Davenport, Emily R
Clark, Andrew G
Corander, Jukka
Caugant, Dominique A
Gaini, Shahin
Magnussen, Marita Debess
Kubiak, Samantha L
Nguyen, Hoang A T
Long, S Wesley
Porter, Adeline R
DeLeo, Frank R
Musser, James M
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Issue Date
2019-03

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Integrated analysis of population genomics, transcriptomics and virulence provides novel insights into Streptococcus pyogenes pathogenesis. 2019, 51(3):548-559 Nat Genet
Abstract
Streptococcus pyogenes causes 700 million human infections annually worldwide, yet, despite a century of intensive effort, there is no licensed vaccine against this bacterium. Although a number of large-scale genomic studies of bacterial pathogens have been published, the relationships among the genome, transcriptome, and virulence in large bacterial populations remain poorly understood. We sequenced the genomes of 2,101 emm28 S. pyogenes invasive strains, from which we selected 492 phylogenetically diverse strains for transcriptome analysis and 50 strains for virulence assessment. Data integration provided a novel understanding of the virulence mechanisms of this model organism. Genome-wide association study, expression quantitative trait loci analysis, machine learning, and isogenic mutant strains identified and confirmed a one-nucleotide indel in an intergenic region that significantly alters global transcript profiles and ultimately virulence. The integrative strategy that we used is generally applicable to any microbe and may lead to new therapeutics for many human pathogens.
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https://www.nature.com/articles/s41588-018-0343-1
ae974a485f413a2113503eed53cd6c53
10.1038/s41588-018-0343-1
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