Spir2; a novel QTL on chromosome 4 contributes to susceptibility to pneumococcal infection in mice
© Wisby et al.; licensee BioMed Central Ltd. 2013
Received: 18 September 2012
Accepted: 4 April 2013
Published: 11 April 2013
Streptococcus pneumoniae causes over one million deaths worldwide annually, despite recent developments in vaccine and antibiotic therapy. Host susceptibility to pneumococcal infection and disease is controlled by a combination of genetic and environmental influences, but current knowledge remains limited.
In order to identify novel host genetic variants as predictive risk factors or as potential targets for prophylaxis, we have looked for quantitative trait loci in a mouse model of invasive pneumococcal disease. We describe a novel locus, called Streptococcus pneumoniae infection resistance 2 (Spir2) on Chr4, which influences time to morbidity and the development of bacteraemia post-infection.
The two quantitative trait loci we have identified (Spir1 and Spir2) are linked significantly to both bacteraemia and survival time. This may mean that the principle cause of death, in our model of pneumonia, is bacteraemia and the downstream inflammatory effects it precipitates in the host.
KeywordsStreptococcus pneumoniae Host susceptibility Host genetics Quantitative trait loci Model organism Mouse Bacterial infection Inflammation
Streptococcus pneumoniae is an important pathogen, responsible for causing pneumonia, bacterial meningitis, otitis media and sepsis, in humans. Pneumococcal disease causes a considerable burden on health services and is responsible, worldwide, for over 1.2 million deaths per year in children under the age of 5 years, with many of these cases occurring in developing countries .
New developments in conjugate vaccines are exciting but are based on the polysaccharide capsule of the pneumococcus and with more than 90 pneumococcal serotypes and genetic exchange of the capsular loci between S. pneumoniae contributing to the enhanced evasion from serotype specific antibody [2, 3] alternative vaccines are still required. The drug of choice for treatment of pneumococcal infections has, for a long time, been penicillin. However over the last 30 years, resistance to penicillin and other antibiotics in S. pneumoniae has spread rapidly [4, 5]. It is important to find new therapeutic targets to aid in the design and discovery of novel drugs as well as implementing genetic screening to identify individuals at risk so they can be targeted for prophylactic treatment.
Determination of genetic factors would open a radically new approach to prophylaxis and host defence. Studies of cause of death in adopted children and familial and twin studies have shown that susceptibility to infectious disease has a strong genetic component [6–9], but the genetics involved are complex and likely to be polygenic. The mapping of complex or quantitative trait loci (QTL) in naturally out-bred populations such as humans has been limited in success and identifying candidate genes has largely been restricted to association studies. Mouse models have been used to identify QTL with extensive homologies in humans and this approach has been successful in identifying infection susceptibility loci. One particularly successful example is the gene Nramp1 that was identified as a candidate for susceptibility to tuberculosis by genome wide linkage studies in mice, and subsequently in humans by case control association studies [10, 11].
We have reported previously on a mouse model of susceptibility to systemic pneumococcal infection in which BALB/c mice are resistant and CBA/Ca susceptible to intranasal infection with S. pneumoniae D39 . A major QTL responsible in part for this difference in susceptibility has been mapped, in progeny of an F2 intercross, to proximal chromosome 7 and was named Spir1 (Streptococcus pneumoniae infection resistance 1) . Variants of several genes in the human population have been implicated in susceptibility to pneumococcal infection, including C reactive protein , Mannose binding lectin , TIRAP  and PTPN22 , but the mouse orthologs of these genes are not located in the Spir1 locus .
In this present study, mapping of further progeny from the (BALB/cOlaHsd × CBA/CaOlaHsd)F2 (CCBAF2) intercross has identified a novel QTL on chromosome 4, which we have named Spir2 (Streptococcus pneumoniae infection resistance 2). The contribution of this locus to susceptibility to pneumococcal infection was confirmed by congenic mapping.
Identification of a novel QTL (Spir2) on chromosome 4 contributing to both survival time and bacteraemia
Effect of genotype at Spir2on phenotype
Numbers of CCBAF 2 mice resistant and susceptible to pneumococcal infection, grouped by their genotype at SNP 4_80
CCBAF2 genotype at SNP4_80
Congenic breeding confirms the contribution of the Spir2locus to susceptibility to pneumococcal infection
The strategy of congenic breeding was used to replicate detection of the chromosome 4 QTL and to assess its contribution to the infection phenotype. Incipient congenic strains consisting of different portions of the chromosome 4 QTL from BALB/cByJ on a CBA/CaH background, and vice versa, were produced using a marker-assisted breeding scheme.
The percentages of heterozygosity observed in the N2 and N3 males used for breeding further generations were between 37 and 42% for the N2 generation and 7 to 10% for the N3 generation. Mice with the CBA/CaH Spir2 locus on a BALB/cByJ background were bred to the N6 generation before intercrossing. These incipient congenics were named BYJCBAN6-4. Mice with the BALB/cByJ Spir2 locus on a CBA/CaH background were bred to the N7 generation and were named CBABYJN7-4. The estimated percentage recipient genome in the final incipient congenic mice tested for infection susceptibility was 99.36 to 99.78%. Therefore these mice were similar to N9 mice produced by conventional congenic breeding.
BALB/cByJ Spir2locus on CBA/CaH background (CBABYJN7-4)
A total of 75 CBABYJN7-4 intercross mice were tested for susceptibility to S. pneumoniae infection. Of these 75 mice 18 (24%) were resistant to pneumococcal infection and the remaining 57 (76%) were susceptible. Six of the susceptible mice survived 50 hours or longer, while the rest only survived to between 28 and 49 hours.
CBA/CaH Spir2locus on BALB/cByJ background (BYJCBAN6-4)
Numbers of bacteria in the blood of BYJCBAN6-4 mice were assessed at 24 hours post-infection. There were significantly more bacteria present in mice homozygous for the CBA/CaH allele at SNP marker 4_38 or 4_47 when compared with mice either heterozygous or homozygous for BALB/cByJ at the same SNP (p = 0.022 and 0.009 respectively). Although not significant, the trend was the same for SNP markers 4_80 and 4_103 (Figure 6B).
Selective genotyping of CCBAF2 mice from the phenotypic extremes was successful in identifying a novel QTL on chromosome 4 (named Spir2) contributing to susceptibility to pneumococcal disease. This type of selective genotyping has been implemented in various studies because it reduces laboratory costs and it is successful in gaining as much, if not more, information as genotyping the same number of random mice [18–21]. The Spir2 peak of linkage was situated at SNP 4_80 and CCBAF2 mice that were heterozygous for this SNP had both significantly longer survival times and lower levels of bacteraemia, following intranasal infection, when compared with homozygous animals. Infection challenges of the Chr4 incipient congenic strains confirmed detection of the Spir2 QTL observed in the CCBAF2 mice, but did not reduce the size of the critical region.
BYJCBAN6-4 mice, which had the Spir2 region introgressed from CBA/CaH onto the BALB/cByJ background, had significantly shorter survival times after infection and significantly higher levels of bacteraemia at 24 hours when compared with mice heterozygous for the QTL or homozygous for BALB/cByJ. The effect of the QTL was different when on the CBA/CaH background. Interestingly, although not quite significant, mice heterozygous for SNPs 4_80 and 4_103 on the CBA/CaH background were less susceptible than those homozygous for CBA/CaH or BALB/cByJ. These results are similar to the effect observed in the analysis of the CCBAF2 QTL. Although the mechanisms are currently unclear, there have been reported cases in which heterozygous genotypes are advantageous over either homozygous genotype. A well-documented case of this phenomenon is the sickle cell gene haemoglobin (Hb) in humans. Carriers of the sickle cell trait are heterozygous for the Hb genotype (HbAS) and this heterozygosity seems to be protective against malaria, with lower mortality and parasitaemia when compared with either homozygous Hb genotypes (HbSS and HbAA) . The differences observed in the phenotypes of the incipient congenics in our study were dependent on the recipient genome and this highlights the probable contribution of epistatic interaction effects from the background.
The region containing the Spir2 locus is approximately 39 Mb in length and overlaps with several published QTL involved in immunity or susceptibility to infection; Bbaa1 (Borrelia burgdorferi - associated arthritis 1), a locus contributing to severity of arthritis induced by B. burgdorferi infection , Lprm1 (lymphoproliferation modifier 1), a QTL conferring susceptibility to autoimmune vasculitis , Sle2 (systemic lupus erythmatosus susceptibility 2), contributing to B cell hyperactivity, an immunogenic phenotype caused by the autoimmune disease systemic lupus erythmatosus [25, 26] and Marif1 (macrophage-associated risk inflammatory factor 1) which affects inflammatory phenotypes of macrophages such as secretion of TNFα and IL-12p40 . It is premature to speculate whether any of the genes underlying these QTLs are shared, but the Marif1 locus is of interest because of the opposite Th1/Th2 bias of the inbred strains BALB/c and CBA/Ca  and because we  and others  have shown that macrophages play an important role in susceptibility to pneumococci.
The Spir2 locus region contains 169 genes, according to Ensembl V.65. One strong candidate gene, based on it’s known role in regulating innate immunity, is Tlr4, but non-synonymous differences in the sequence of Tlr4 between BALB/cOlaHsd and CBA/CaOlaHsd were found to be common to other inbred strains, making it less likely to play a role in the Spir2 locus (data not shown). It is clear that sequence analysis of the entire QTL would aid the prioritisation of other candidate disease genes for further study.
The Spir1 and Spir2 loci are linked significantly to both bacteraemia and survival time ( and this work). This may mean that the principle cause of death, in our model of pneumonia, is bacteraemia and the downstream inflammatory effects it precipitates in the host.
This study was performed in strict accordance with U.K. Home Office guidelines. Both the U.K. Home Office and the University of Leicester ethics committee approved the protocol. Every effort was made to minimize suffering and in bacterial infection experiments mice were humanely culled if they became lethargic. All animal experiments were carried out at the University of Leicester.
BALB/cByJ and CBA/CaH were obtained from the MRC Mary Lyon Centre (MLC) in Harwell and were used for the congenic breeding scheme. The congenic breeding was performed at the MLC and infection studies were done at the University of Leicester.
Congenic breeding scheme
A semi-speed congenic breeding scheme was implemented in this study. An alternating set of 73 SNP markers, spanning the genome, with an average spacing of 28 Mb, was used in order to reduce cost and time and ensure good coverage of the genome . During the first two backcross generations (N2 and N3) the alternate genome scan was performed where at least 20 male progeny for each generation, which were heterozygous for the QTL, were typed genome wide in order to select the best male for breeding [32, 33]. The next generations (from N4 to N6 or N7) were only genotyped for the chromosome 4 QTL markers. Once the mice reached the N6 or N7 generation, female mice heterozygous for the region of interest were crossed to males heterozygous for the same SNP markers to produce offspring for infection testing. Whole litters were tested for susceptibility to S. pneumoniae.
Bacterial culture and infections
Incipient congenic mice were infected intranasally with S. pneumoniae D39 as described previously [12, 13]. Blood was taken at 24 hours post-infection from the tail vein (for bacterial culture) and survival times of the mice were recorded. Mice that survived to the end point of the experiment (more than 168 hours) were considered resistant. All mice that succumbed to infection (the endpoint was severely lethargic) and had survival times less than 168 hours were considered susceptible.
For QTL mapping, DNA from the (BALB/cOlaHsd × CBA/CaOlaHsd)F2 (CCBAF2) intercross, reported in Denny et al., , was used. DNA samples from CCBAF2 mice from the phenotypic extremes were selected for QTL mapping. Thirty eight of the most susceptible mice (survival < 46 hours and high levels of bacteria in blood) and thirty eight of the most resistant mice (survival ≥ 168 hours and no bacteria in blood) were genotyped for linkage analysis. DNA was diluted to 5 ng/μl in double-distilled H2O.
In congenic breeding, DNA was extracted from ear clips using the Viagen DirectPCR ear lysis reagent (Viagen Biotech cat 402-E). 195 μl Direct PCR lysis reagent and 5 μl proteinase K (10 mg/ml) was added to each earclip and incubated overnight at 55°C. After digestion, the samples were heated to 85°C for 45 min and centrifuged for 10 seconds. 1 μl of lysate was used in each PCR reaction.
The 76 CCBAF2 mice from the phenotypic extremes were genotyped by Pyrosequencing (as described below) across the whole genome using a panel of 73 SNPs with an average spacing of 28 Mb. Chromosome 4 was genotyped with an additional set of SNP markers to narrow down areas of suggestive linkage. A total of nine SNPs for chromosome 4 were typed by Pyrosequencing. Genotyping data from chromosome 4 microsatellite markers used in Denny et al.,  were incorporated into the analysis. There were a total of 5 microsatellite markers that had been typed on 38 of the mice. Details of the SNP primers can be found in Additional file 4: Table S1.
SNPs were selected using the Mouse Phenome Database (http://phenome.jax.org/pub-cgi/phenome/mpdcgi?rtn=docs/home) and the SNP sequences were exported from the NCBI Entrez SNP database (http://www.ncbi.nlm.nih.gov/sites/entrez). Primers for Pyrosequencing were designed using the PSQ Assay Design software from Biotage AB. Primer sets of three primers for each SNP were designed, one pair of primers for the PCR (one of which was biotinylated) and a sequencing primer for the Pyrosequencing reaction. The minimum and maximum Tm for the PCR primers were 64 to 66°C. The sequencing primers were designed with a maximum distance of three bases from the SNP. Primers were manufactured by either Biomers.net or MWG-Biotech.
10 μl PCR reactions were set up using 5 μl Qiagen Taq PCR master mix (cat. 201445), 0.2 μl forward primer and 0.2 μl reverse primer (at 10 pmol/μl), 2.6 - 3.6 μl nuclease free water and 1–2 μl DNA(~5 ng/μl). PCR reactions were run using the following PCR program: 95°C for 5 min, followed by 45 cycles of 95°C for 15 sec, 60°C for 30 sec and 72°C for 15 sec. The final extension step was for 5 min at 72°C.
10 μl PCR product, 2 μl streptavidin-Sepharose beads (GE Healthcare 17-5113-01), 38 μl binding buffer (Biotage AB 40–0033) and 30 μl H2O were combined in a 96-well plate and mixed vigorously on a plate shaker for 5 min so that the biotin-labelled PCR product bound to the streptavidin coated beads. The PCR products were then prepared using a vacuum work table (Biotage AB). The biotinylated PCR products, attached to the filter probes of the vacuum tool, were immersed in 70% (v/v) ethanol for 5 seconds, denatured in PyroMark Denaturation solution (Biotage AB 40–0034) for 5 sec (allowing only the biotin labelled strand of the PCR product to stay attached to the filter probes) and immersed in 1X PyroMark Wash buffer (Biotage AB 40–0035) for 5 sec. The single-stranded PCR products were then re-suspended in a PSQ HS 96-well plate containing 0.5 μl sequencing primer (at 10 pmol/μl) and 11.5 μl annealing buffer (Biotage AB 40–0036) per well.
The plate was incubated at 80°C for 2 minutes to allow the sequencing primer to anneal to the single-stranded PCR product. The PSQ 96-well plate and a PSQ HS 96 capillary dispensing tip holder (Biotage AB 60–0211) containing enzyme, substrate and dNTPs (PyroGold reagent kit Biotage AB 40–0047), were placed into a PSQ HS 96 Pyrosequencer (Biotage AB). The assays were performed and the data were analysed using the SNP software (Biotage AB).
SNP genotype data from the 76 CCBAF2 mice and phenotype data from 168 non-genotyped CCBAF2 mice were incorporated into the linkage analysis. Data were analysed using R-QTL for non parametric analysis . One thousand permutation tests were performed in order to establish genome-wide LOD significance thresholds at the 90% and 95% confidence level. Loci with LOD scores exceeding the 90% confidence level were identified as suggestive and those exceeding the 95% confidence level were identified as significant regions of linkage. The confidence interval for each QTL was determined by a one LOD support interval (−1 LOD drop from the peak of linkage). For the marker at the peak of each QTL, data were analysed using a Chi-squared (χ2) test. Numbers of mice resistant and susceptible to pneumococcal infection were grouped by their genotype at the appropriate SNP marker. Observed numbers of mice were compared to the expected numbers (1:2:1 ratio) if genotype had no effect (χ2). To investigate the effect the genotype, at the peak of linkage, on time to reach a moribund state, Kaplan Meier survival analysis was performed using the statistics package SPSS (version 17). The difference between the survival curves was analysed using the Log Rank test. p values of less than 0.05 were considered significant. The heritability equation (1-10-2LOD/n) was used to estimate the percentage of phenotypic variance accounted for by the QTL.
Congenic breeding data analysis
Survival data and bacteraemia data were firstly analysed on a single SNP basis for chromosome 4. Mice were then grouped into shared haplotypes based on the combination of SNPs for chromosome 4 from SNP 4_38 to SNP 4_103. Survival data were analysed using Kaplan-Meier survival analysis with Log Rank pair wise comparison for statistical significance using SPSS (version 17). Bacteraemia data for the three genotypes (BALB/cByJ homozygous, CBA/CaH homozygous or heterozygous) were compared for each SNP using a two-tailed unpaired Student t-test. Numbers of bacteria in the blood in the haplotypes were compared in the same way. Results with p values less than 0.05 were considered significant.
Degrees of freedom
Logarithm of odds
Quantitative trait locus
Single nucleotide polymorphism
S. pneumoniae infection resistance 2.
We thank Anne Southwell, Debra Brooker, Jackie Harrison, Elaine Whitehill and Sara Wells for technical support and an anonymous reviewer for improvements to the manuscript. This work was supported by a UK Medical Research Council grant awarded to Peter W Andrew & Aras Kadioglu.
Peter W Andrew and Paul Denny jointly directed the project.
- O'Brien KL, Wolfson LJ, Watt JP, Henkle E, Deloria-Knoll M, McCall N, Lee E, Mulholland K, Levine OS, Cherian T: Burden of disease caused by Streptococcus pneumoniae in children younger than 5 years: global estimates. Lancet. 2009, 374 (9693): 893-902. 10.1016/S0140-6736(09)61204-6.View ArticlePubMedGoogle Scholar
- Coffey TJ, Dowson CG, Daniels M, Zhou J, Martin C, Spratt BG, Musser JM: Horizontal transfer of multiple penicillin-binding protein genes, and capsular biosynthetic genes, in natural populations of Streptococcus pneumoniae. Mol Microbiol. 1991, 5 (9): 2255-2260. 10.1111/j.1365-2958.1991.tb02155.x.View ArticlePubMedGoogle Scholar
- Coffey TJ, Enright MC, Daniels M, Morona JK, Morona R, Hryniewicz W, Paton JC, Spratt BG: Recombinational exchanges at the capsular polysaccharide biosynthetic locus lead to frequent serotype changes among natural isolates of Streptococcus pneumoniae. Mol Microbiol. 1998, 27 (1): 73-83. 10.1046/j.1365-2958.1998.00658.x.View ArticlePubMedGoogle Scholar
- Nuermberger EL, Bishai WR: Antibiotic resistance in Streptococcus pneumoniae: what does the future hold?. Clin Infect Dis. 2004, 38 (Suppl 4): S363-S371.View ArticlePubMedGoogle Scholar
- Appelbaum PC, Bhamjee A, Scragg JN, Hallett AF, Bowen AJ, Cooper RC: Streptococcus pneumoniae resistant to penicillin and chloramphenicol. Lancet. 1977, 2 (8046): 995-997.View ArticlePubMedGoogle Scholar
- Malaty HM, Engstrand L, Pedersen NL, Graham DY: Helicobacter pylori infection: genetic and environmental influences. A study of twins. Ann Intern Med. 1994, 120 (12): 982-986. 10.7326/0003-4819-120-12-199406150-00002.View ArticlePubMedGoogle Scholar
- Haltia M, Kovanen J, Van Crevel H, Bots GT, Stefanko S: Familial Creutzfeldt-Jakob disease. J Neurol Sci. 1979, 42 (3): 381-389. 10.1016/0022-510X(79)90171-0.View ArticlePubMedGoogle Scholar
- Sorensen TI, Nielsen GG, Andersen PK, Teasdale TW: Genetic and environmental influences on premature death in adult adoptees. N Engl J Med. 1988, 318 (12): 727-732. 10.1056/NEJM198803243181202.View ArticlePubMedGoogle Scholar
- Couvreur J, Desmonts G, Girre JY: Congenital toxoplasmosis in twins: a series of 14 pairs of twins: absence of infection in one twin in two pairs. J Pediatr. 1976, 89 (2): 235-240. 10.1016/S0022-3476(76)80455-6.View ArticlePubMedGoogle Scholar
- Vidal SM, Malo D, Vogan K, Skamene E, Gros P: Natural resistance to infection with intracellular parasites: isolation of a candidate for Bcg. Cell. 1993, 73 (3): 469-485. 10.1016/0092-8674(93)90135-D.View ArticlePubMedGoogle Scholar
- Bellamy R, Ruwende C, Corrah T, McAdam KP, Whittle HC, Hill AV: Variations in the NRAMP1 gene and susceptibility to tuberculosis in West Africans. N Engl J Med. 1998, 338 (10): 640-644. 10.1056/NEJM199803053381002.View ArticlePubMedGoogle Scholar
- Gingles NA, Alexander JE, Kadioglu A, Andrew PW, Kerr A, Mitchell TJ, Hopes E, Denny P, Brown S, Jones HB: Role of genetic resistance in invasive pneumococcal infection: identification and study of susceptibility and resistance in inbred mouse strains. Infect Immun. 2001, 69 (1): 426-434. 10.1128/IAI.69.1.426-434.2001.PubMed CentralView ArticlePubMedGoogle Scholar
- Denny P, Hopes E, Gingles N, Broman KW, McPheat W, Morten J, Alexander J, Andrew PW, Brown SD: A major locus conferring susceptibility to infection by Streptococcus pneumoniae in mice. Mamm Genome. 2003, 14 (7): 448-453. 10.1007/s00335-002-2261-9.View ArticlePubMedGoogle Scholar
- Eklund C, Huttunen R, Syrjanen J, Laine J, Vuento R, Hurme M: Polymorphism of the C-reactive protein gene is associated with mortality in bacteraemia. Scand J Infect Dis. 2006, 38 (11–12): 1069-1073.View ArticlePubMedGoogle Scholar
- Roy S, Knox K, Segal S, Griffiths D, Moore CE, Welsh KI, Smarason A, Day NP, McPheat WL, Crook DW: MBL genotype and risk of invasive pneumococcal disease: a case–control study. Lancet. 2002, 359 (9317): 1569-1573. 10.1016/S0140-6736(02)08516-1.View ArticlePubMedGoogle Scholar
- Khor CC, Chapman SJ, Vannberg FO, Dunne A, Murphy C, Ling EY, Frodsham AJ, Walley AJ, Kyrieleis O, Khan A: A Mal functional variant is associated with protection against invasive pneumococcal disease, bacteremia, malaria and tuberculosis. Nat Genet. 2007, 39 (4): 523-528. 10.1038/ng1976.PubMed CentralView ArticlePubMedGoogle Scholar
- Chapman SJ, Khor CC, Vannberg FO, Maskell NA, Davies CW, Hedley EL, Segal S, Moore CE, Knox K, Day NP: PTPN22 and invasive bacterial disease. Nat Genet. 2006, 38 (5): 499-500. 10.1038/ng0506-499.View ArticlePubMedGoogle Scholar
- Lander ES, Botstein D: Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics. 1989, 121 (1): 185-199.PubMed CentralPubMedGoogle Scholar
- Corva PM, Medrano JF: Quantitative trait loci (QTLs) mapping for growth traits in the mouse: a review. Genet Sel Evol. 2001, 33 (2): 105-132. 10.1186/1297-9686-33-2-105.PubMed CentralView ArticlePubMedGoogle Scholar
- Darvasi A, Soller M: Selective DNA pooling for determination of linkage between a molecular marker and a quantitative trait locus. Genetics. 1994, 138 (4): 1365-1373.PubMed CentralPubMedGoogle Scholar
- Darvasi A: The effect of selective genotyping on QTL mapping accuracy. Mamm Genome. 1997, 8 (1): 67-68. 10.1007/s003359900353.View ArticlePubMedGoogle Scholar
- Aidoo M, Terlouw DJ, Kolczak MS, McElroy PD, ter Kuile FO, Kariuki S, Nahlen BL, Lal AA, Udhayakumar V: Protective effects of the sickle cell gene against malaria morbidity and mortality. Lancet. 2002, 359 (9314): 1311-1312. 10.1016/S0140-6736(02)08273-9.View ArticlePubMedGoogle Scholar
- Weis JJ, McCracken BA, Ma Y, Fairbairn D, Roper RJ, Morrison TB, Weis JH, Zachary JF, Doerge RW, Teuscher C: Identification of quantitative trait loci governing arthritis severity and humoral responses in the murine model of Lyme disease. J Immunol. 1999, 162 (2): 948-956.PubMedGoogle Scholar
- Wang Y, Nose M, Kamoto T, Nishimura M, Hiai H: Host modifier genes affect mouse autoimmunity induced by the lpr gene. Am J Pathol. 1997, 151 (6): 1791-1798.PubMed CentralPubMedGoogle Scholar
- Morel L, Rudofsky UH, Longmate JA, Schiffenbauer J, Wakeland EK: Polygenic control of susceptibility to murine systemic lupus erythematosus. Immunity. 1994, 1 (3): 219-229. 10.1016/1074-7613(94)90100-7.View ArticlePubMedGoogle Scholar
- Mohan C, Morel L, Yang P, Wakeland EK: Genetic dissection of systemic lupus erythematosus pathogenesis: Sle2 on murine chromosome 4 leads to B cell hyperactivity. J Immunol. 1997, 159 (1): 454-465.PubMedGoogle Scholar
- Fijneman RJ, Vos M, Berkhof J, Demant P, Kraal G: Genetic analysis of macrophage characteristics as a tool to identify tumor susceptibility genes: mapping of three macrophage-associated risk inflammatory factors, marif1, marif2, and marif3. Cancer Res. 2004, 64 (10): 3458-3464. 10.1158/0008-5472.CAN-03-3767.View ArticlePubMedGoogle Scholar
- Stacey KJ, Blackwell JM: Immunostimulatory DNA as an adjuvant in vaccination against Leishmania major. Infect Immun. 1999, 67 (8): 3719-3726.PubMed CentralPubMedGoogle Scholar
- Ripoll VM, Kadioglu A, Cox R, Hume DA, Denny P: Macrophages from BALB/c and CBA/Ca mice differ in their cellular responses to Streptococcus pneumoniae. J Leukoc Biol. 2010, 87 (4): 735-741. 10.1189/jlb.0509359.View ArticlePubMedGoogle Scholar
- Marriott HM, Dockrell DH: The role of the macrophage in lung disease mediated by bacteria. Exp Lung Res. 2007, 33 (10): 493-505. 10.1080/01902140701756562.View ArticlePubMedGoogle Scholar
- Klein M, Obermaier B, Angele B, Pfister HW, Wagner H, Koedel U, Kirschning CJ: Innate immunity to pneumococcal infection of the central nervous system depends on toll-like receptor (TLR) 2 and TLR4. J Infect Dis. 2008, 198 (7): 1028-1036. 10.1086/591626.View ArticlePubMedGoogle Scholar
- Markel P, Shu P, Ebeling C, Carlson GA, Nagle DL, Smutko JS, Moore KJ: Theoretical and empirical issues for marker-assisted breeding of congenic mouse strains. Nat Genet. 1997, 17 (3): 280-284. 10.1038/ng1197-280.View ArticlePubMedGoogle Scholar
- Armstrong NJ, Brodnicki TC, Speed TP: Mind the gap: analysis of marker-assisted breeding strategies for inbred mouse strains. Mamm Genome. 2006, 17 (4): 273-287. 10.1007/s00335-005-0123-y.View ArticlePubMedGoogle Scholar
- Broman KW, Wu H, Sen S, Churchill GA: R/qtl: QTL mapping in experimental crosses. Bioinformatics. 2003, 19 (7): 889-890. 10.1093/bioinformatics/btg112.View ArticlePubMedGoogle Scholar
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