Genome-wide screen identifies host loci that modulate Mycobacterium tuberculosis fitness in immunodivergent mice

Author:

Meade Rachel K12,Long Jarukit E34,Jinich Adrian5,Rhee Kyu Y5,Ashbrook David G6,Williams Robert W6,Sassetti Christopher M3,Smith Clare M12

Affiliation:

1. Department of Molecular Genetics and Microbiology, Duke University , Durham, NC 27710 , USA

2. University Program in Genetics and Genomics, Duke University , Durham, NC 27710 , USA

3. Department of Microbiology and Physiological Systems, UMass Chan Medical School , Worcester, MA 01655 , USA

4. Research Animal Diagnostic Services, Charles River Laboratories , Wilmington, MA 01887 , USA

5. Division of Infectious Diseases, Weill Cornell Medical College , New York, NY 10021 , USA

6. Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center , Memphis, TN 38163 , USA

Abstract

Abstract Genetic differences among mammalian hosts and among strains of Mycobacterium tuberculosis (Mtb) are well-established determinants of tuberculosis (TB) patient outcomes. The advent of recombinant inbred mouse panels and next-generation transposon mutagenesis and sequencing approaches has enabled dissection of complex host–pathogen interactions. To identify host and pathogen genetic determinants of Mtb pathogenesis, we infected members of the highly diverse BXD family of strains with a comprehensive library of Mtb transposon mutants (TnSeq). Members of the BXD family segregate for Mtb-resistant C57BL/6J (B6 or B) and Mtb-susceptible DBA/2J (D2 or D) haplotypes. The survival of each bacterial mutant was quantified within each BXD host, and we identified those bacterial genes that were differentially required for Mtb fitness across BXD genotypes. Mutants that varied in survival among the host family of strains were leveraged as reporters of “endophenotypes,” each bacterial fitness profile directly probing specific components of the infection microenvironment. We conducted quantitative trait loci (QTL) mapping of these bacterial fitness endophenotypes and identified 140 host–pathogen QTL (hpQTL). We located a QTL hotspot on chromosome 6 (75.97–88.58 Mb) associated with the genetic requirement of multiple Mtb genes: Rv0127 (mak), Rv0359 (rip2), Rv0955 (perM), and Rv3849 (espR). Together, this screen reinforces the utility of bacterial mutant libraries as precise reporters of the host immunological microenvironment during infection and highlights specific host–pathogen genetic interactions for further investigation. To enable downstream follow-up for both bacterial and mammalian genetic research communities, all bacterial fitness profiles have been deposited into GeneNetwork.org and added into the comprehensive collection of TnSeq libraries in MtbTnDB.

Funder

Whitehead Scholar Award

NIH Director's New Innovator Award

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology

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