Literature DB >> 30143822

The Collaborative Cross mouse model for dissecting genetic susceptibility to infectious diseases.

Hanifa Abu Toamih Atamni1, Aysar Nashef2,3, Fuad A Iraqi4.   

Abstract

Infectious diseases, also known as communicable diseases, refer to a full range of maladies caused by pathogen invasion to the host body. Host response towards an infectious pathogen varies between individuals, and can be defined by responses from asymptomatic to lethal. Host response to infectious pathogens is considered as a complex trait controlled by gene-gene (host-pathogen) and gene-environment interactions, leading to the extensive phenotypic variations between individuals. With the advancement of the human genome mapping approaches and tools, various genome-wide association studies (GWAS) were performed, aimed at mapping the genetic basis underlying host susceptibility towards infectious pathogens. In parallel, immense efforts were invested in enhancing the genetic mapping resolution and gene-cloning efficacy, using advanced mouse models including advanced intercross lines; outbred populations; consomic, congenic; and recombinant inbred lines. Notwithstanding the evident advances achieved using these mouse models, the genetic diversity was low and quantitative trait loci (QTL) mapping resolution was inadequate. Consequently, the Collaborative Cross (CC) mouse model was established by full-reciprocal mating of eight divergent founder strains of mice (A/J, C57BL/6J, 129S1/SvImJ, NOD/LtJ, NZO/HiLtJ, CAST/Ei, PWK/PhJ, and WSB/EiJ) generating a next-generation mouse genetic reference population (CC lines). Presently, the CC mouse model population comprises a set of about 200 recombinant inbred CC lines exhibiting a unique high genetic diversity and which are accessible for multidisciplinary studies. The CC mouse model efficacy was validated by various studies in our lab and others, accomplishing high-resolution (< 1 MB) QTL genomic mapping for a variety of complex traits, using about 50 CC lines (3-4 mice per line). Herein, we present a number of studies demonstrating the power of the CC mouse model, which has been utilized in our lab for mapping the genetic basis of host susceptibility to various infectious pathogens. These include Aspergillus fumigatus, Klebsiella pneumoniae, Porphyromonas gingivalis and Fusobacterium nucleatum (causing oral mixed infection), Pseudomonas aeruginosa, and the bacterial toxins Lipopolysaccharide and Lipoteichoic acid.

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Mesh:

Year:  2018        PMID: 30143822     DOI: 10.1007/s00335-018-9768-1

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   2.957


  123 in total

1.  Genotype is a stronger determinant than sex of the mouse gut microbiota.

Authors:  Amir Kovacs; Noa Ben-Jacob; Hanna Tayem; Eran Halperin; Fuad A Iraqi; Uri Gophna
Journal:  Microb Ecol       Date:  2010-12-23       Impact factor: 4.552

Review 2.  What Is a Host? Attributes of Individual Susceptibility.

Authors:  Arturo Casadevall; Liise-Anne Pirofski
Journal:  Infect Immun       Date:  2018-01-22       Impact factor: 3.441

Review 3.  Pseudomonas aeruginosa: new insights into pathogenesis and host defenses.

Authors:  Shaan L Gellatly; Robert E W Hancock
Journal:  Pathog Dis       Date:  2013-03-15       Impact factor: 3.166

Review 4.  Infectious disease in the genomic era.

Authors:  Xiaonan Yang; Hongliang Yang; Gangqiao Zhou; Guo-Ping Zhao
Journal:  Annu Rev Genomics Hum Genet       Date:  2008       Impact factor: 8.929

Review 5.  Human gene copy number variation and infectious disease.

Authors:  Edward J Hollox; Boon-Peng Hoh
Journal:  Hum Genet       Date:  2014-06-05       Impact factor: 4.132

6.  Genomic profiling of collaborative cross founder mice infected with respiratory viruses reveals novel transcripts and infection-related strain-specific gene and isoform expression.

Authors:  Hao Xiong; Juliet Morrison; Martin T Ferris; Lisa E Gralinski; Alan C Whitmore; Richard Green; Matthew J Thomas; Jennifer Tisoncik-Go; Gary P Schroth; Fernando Pardo-Manuel de Villena; Ralph S Baric; Mark T Heise; Xinxia Peng; Michael G Katze
Journal:  G3 (Bethesda)       Date:  2014-06-05       Impact factor: 3.154

7.  Modeling host genetic regulation of influenza pathogenesis in the collaborative cross.

Authors:  Martin T Ferris; David L Aylor; Daniel Bottomly; Alan C Whitmore; Lauri D Aicher; Timothy A Bell; Birgit Bradel-Tretheway; Janine T Bryan; Ryan J Buus; Lisa E Gralinski; Bart L Haagmans; Leonard McMillan; Darla R Miller; Elizabeth Rosenzweig; William Valdar; Jeremy Wang; Gary A Churchill; David W Threadgill; Shannon K McWeeney; Michael G Katze; Fernando Pardo-Manuel de Villena; Ralph S Baric; Mark T Heise
Journal:  PLoS Pathog       Date:  2013-02-28       Impact factor: 6.823

8.  A genetic approach to the prediction of drug side effects: bleomycin induces concordant phenotypes in mice of the collaborative cross.

Authors:  Richard Gelinas; Elissa J Chesler; Daphne Vasconcelos; Darla R Miller; Yue Yuan; Kai Wang; David Galas
Journal:  Pharmgenomics Pers Med       Date:  2011-07-04

9.  Using the emerging Collaborative Cross to probe the immune system.

Authors:  J Phillippi; Y Xie; D R Miller; T A Bell; Z Zhang; A B Lenarcic; D L Aylor; S H Krovi; D W Threadgill; F Pardo-Manuel de Villena; W Wang; W Valdar; J A Frelinger
Journal:  Genes Immun       Date:  2013-11-07       Impact factor: 2.676

Review 10.  Pseudomonas aeruginosa Evolutionary Adaptation and Diversification in Cystic Fibrosis Chronic Lung Infections.

Authors:  Craig Winstanley; Siobhan O'Brien; Michael A Brockhurst
Journal:  Trends Microbiol       Date:  2016-03-03       Impact factor: 17.079

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  10 in total

Review 1.  Innate Immunity to Orthohantaviruses: Could Divergent Immune Interactions Explain Host-specific Disease Outcomes?

Authors:  Alison M Kell
Journal:  J Mol Biol       Date:  2021-09-04       Impact factor: 5.469

Review 2.  Systems biology of malaria explored with nonhuman primates.

Authors:  Mary R Galinski
Journal:  Malar J       Date:  2022-06-07       Impact factor: 3.469

3.  Cardiac proteomics reveals sex chromosome-dependent differences between males and females that arise prior to gonad formation.

Authors:  Wei Shi; Xinlei Sheng; Kerry M Dorr; Josiah E Hutton; James I Emerson; Haley A Davies; Tia D Andrade; Lauren K Wasson; Todd M Greco; Yutaka Hashimoto; Joel D Federspiel; Zachary L Robbe; Xuqi Chen; Arthur P Arnold; Ileana M Cristea; Frank L Conlon
Journal:  Dev Cell       Date:  2021-10-15       Impact factor: 13.417

4.  Characterization of the variability in the extent of nonalcoholic fatty liver induced by a high-fat diet in the genetically diverse Collaborative Cross mouse model.

Authors:  Aline de Conti; Volodymyr Tryndyak; Rose A Willett; Barbara Borowa-Mazgaj; Anna Watson; Ralph Patton; Sangeeta Khare; Levan Muskhelishvili; Greg R Olson; Mark I Avigan; Carl E Cerniglia; Sharon A Ross; Arun J Sanyal; Frederick A Beland; Ivan Rusyn; Igor P Pogribny
Journal:  FASEB J       Date:  2020-04-18       Impact factor: 5.191

Review 5.  These Are the Genes You're Looking For: Finding Host Resistance Genes.

Authors:  Jeffrey S Bourgeois; Clare M Smith; Dennis C Ko
Journal:  Trends Microbiol       Date:  2020-09-29       Impact factor: 17.079

6.  Genetic background influences survival of infections with Salmonella enterica serovar Typhimurium in the Collaborative Cross.

Authors:  Kristin Scoggin; Rachel Lynch; Jyotsana Gupta; Aravindh Nagarajan; Maxwell Sheffield; Ahmed Elsaadi; Christopher Bowden; Manuchehr Aminian; Amy Peterson; L Garry Adams; Michael Kirby; David W Threadgill; Helene L Andrews-Polymenis
Journal:  PLoS Genet       Date:  2022-04-13       Impact factor: 6.020

7.  Whole Genome Sequencing and Progress Toward Full Inbreeding of the Mouse Collaborative Cross Population.

Authors:  John R Shorter; Maya L Najarian; Timothy A Bell; Matthew Blanchard; Martin T Ferris; Pablo Hock; Anwica Kashfeen; Kathryn E Kirchoff; Colton L Linnertz; J Sebastian Sigmon; Darla R Miller; Leonard McMillan; Fernando Pardo-Manuel de Villena
Journal:  G3 (Bethesda)       Date:  2019-05-07       Impact factor: 3.154

8.  Studying host genetic background effects on multimorbidity of intestinal cancer development, type 2 diabetes and obesity in response to oral bacterial infection and high-fat diet using the collaborative cross (CC) lines.

Authors:  Asal Milhem; Hanifa J Abu Toamih-Atamni; Luna Karkar; Yael Houri-Haddad; Fuad A Iraqi
Journal:  Animal Model Exp Med       Date:  2021-02-14

9.  QTLViewer: an interactive webtool for genetic analysis in the Collaborative Cross and Diversity Outbred mouse populations.

Authors:  Matthew Vincent; Isabela Gerdes Gyuricza; Gregory R Keele; Daniel M Gatti; Mark P Keller; Karl W Broman; Gary A Churchill
Journal:  G3 (Bethesda)       Date:  2022-07-29       Impact factor: 3.542

10.  Elucidating Mechanisms of Tolerance to Salmonella Typhimurium across Long-Term Infections Using the Collaborative Cross.

Authors:  Kristin Scoggin; Jyotsana Gupta; Rachel Lynch; Aravindh Nagarajan; Manuchehr Aminian; Amy Peterson; L Garry Adams; Michael Kirby; David W Threadgill; Helene L Andrews-Polymenis
Journal:  mBio       Date:  2022-07-26       Impact factor: 7.786

  10 in total

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