Identification of Genomic Regions Implicated in Susceptibility to Schistosoma mansoni Infection in a Murine Backcross Genetic Model

Author:

Hernández-Goenaga Juan1,López-Abán Julio1,Blanco-Gómez Adrián23,Vicente Belén1,Burguillo Francisco Javier4,Pérez-Losada Jesús23ORCID,Muro Antonio1ORCID

Affiliation:

1. Grupo de Enfermedades Infecciosas y Tropicales (e-INTRO), IBSAL-CIETUS (Instituto de Investigación Biomédica de Salamanca, Centro de Investigación de Enfermedades Tropica-les de la Universidad de Salamanca), Facultad de Farmacia, Universidad de Salamanca, Ldo. Méndez Nieto s/n, 37007 Salamanca, Spain

2. Instituto de Investigación Biomédica de Salamanca (IBSAL), Complejo Asistencial Universitario de Salamanca, Hospital Virgen de la Vega, 37007 Salamanca, Spain

3. Instituto de Biología Molecular del Cáncer (IBMCC), Centro de Investigación del Cáncer (CIC)—CSIC, Laboratory 20, 37007 Salamanca, Spain

4. Departamento de Química-Física, Facultad de Farmacia, Universidad de Salamanca, C/Donantes de Sangre s/n. Campus Unamuno, 37007 Salamanca, Spain

Abstract

Only a small number of infected people are highly susceptible to schistosomiasis, showing high levels of infection or severe liver fibrosis. The susceptibility to schistosome infection is influenced by genetic background. To assess the genetic basis of susceptibility and identify the chromosomal regions involved, a backcross strategy was employed to generate high variation in schistosomiasis susceptibility. This strategy involved crossing the resistant C57BL/6J mouse strain with the susceptible CBA/2J strain. The resulting F1 females (C57BL/6J × CBA/2J) were then backcrossed with CBA/2J males to generate the backcross (BX) cohort. The BX mice exhibited a range of phenotypes, with disease severity varying from mild to severe disease, lacking a fully resistant group. We observed four levels of infection intensity using cluster and principal component analyses and K-means based on parasitological, pathological, and immunological trait measurements. The mice were genotyped with 961 informative SNPs, leading to the identification of 19 new quantitative trait loci (QTL) associated with parasite burden, liver lesions, white blood cell populations, and antibody responses. Two QTLs located on chromosomes 15 and 18 were linked to the number of granulomas, liver lesions, and IgM levels. The corresponding syntenic human regions are located in chromosomes 8 and 18. None of the significant QTLs had been reported previously.

Funder

ISCIII RICET

Institute of Health Carlos III, ISCIII, Spain

MCIN/AEI

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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