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Linkage analysis of susceptibility to ozone-induced lung inflammation in inbred mice.

Exposures to the common air pollutant ozone (O3) cause decrements in pulmonary function and induce airway inflammation that is characterized by infiltration of polymorphonuclear neutrophils (PMNs; refs 1-4). Because of the impact that O3 may have on public health, it is critical to identify susceptibility factors. Highly reproducible, significant inter-individual variations in human pulmonary function responses to O3 support the hypothesis that genetic background is an important determinant. Initial analysis of PMN responses to O3 exposure in segregant populations derived from inflammation-prone (susceptible) C57BL/6J (B6) and inflammation-resistant C3H/HeJ (C3) inbred mice indicated that susceptibility was controlled by a locus we termed Inf2 (ref. 7). Subsequent analyses with recombinant inbred strains suggested that a more complex interaction of genes is involved. In this report, we identify a quantitative trait locus (QTL) for O3 susceptibility on chromosome 17. Candidate genes for the locus include Tnf, the gene encoding the pro-inflammatory cytokine tumour necrosis factor-alpha (Tnf). Antibody neutralization of the protein product of this putative candidate gene significantly protected against O3 injury in susceptible mice. These results strongly support linkage of O3 susceptibility to a QTL on chromosome 17 and Tnf as a candidate gene.

Animals↗

Comparative AB-QTL analysis in barley using a single exotic donor of Hordeum vulgare ssp. spontaneum.

This paper reports on the first comparative advanced backcross quantitative trait locus (AB-QTL) study in barley. The BC(2)F(2) population Hx101 was generated from crossing var. Harry [H; Hordeum vulgare ssp. vulgare ( Hv)] with ISR101-23 [101; H. v. ssp. spontaneum ( Hsp)]. The results of the AB-QTL analysis for 13 quantitative traits are presented and, subsequently, compared with the AB-QTL study of the barley cross Apex x ISR101-23 (Ax101; Pillen et al., Theor Appl Genet 107:340-352). Both AB populations share the exotic Hsp donor accession ISR101-23. In Hx101, 108 putative QTLs (17%) were identified among the 650 markerxtrait combinations tested. Altogether 52 (48 %) favorable effects were identified from the exotic parent. At these marker loci, the homozygous Hsp genotype was associated with an improvement in the trait compared to the homozygous Hv genotype. The percentage of QTLs detected in Hx101 was comparable to that in Ax101 (17% vs. 15%), however more favorable exotic QTL alleles were located in Hx101 than in Ax101 (48% vs. 34%). In Hx101, the Hsp QTL allele at EBmac0679([4H]) was associated with a yield increase of 5.9% averaged across the six environments tested. A comparison of putative QTLs between Hx101 and Ax101 was based on 26 shared SSR markers. In total, 26% of the putative QTLs could be detected simultaneously in both AB populations. This finding indicates that only a portion of the QTL effects of the donor allele can be transferred from one elite recipient to the next.

Alleles↗

Sequencing, expression, and functional analyses support the candidacy of Ncf2 in susceptibility to Salmonella typhimurium infection in wild-derived mice.

A recessive Salmonella Typhimurium susceptibility locus (immunity to Typhimurium (Ity3) was reported previously on distal mouse chromosome 1 using a cross between C57BL/6J and wild-derived MOLF/Ei mice. This quantitative trait locus is located in a genomic region spanning 84 Mb, rich in candidate genes for which a role in host resistance to Salmonella infection is either known or can be envisioned. In this study, we report the evaluation of neutrophil cytosolic factor 2 (Ncf2) as a candidate Salmonella susceptibility gene for Ity3. Ncf2 encodes p67phox, a subunit of the multiprotein enzyme complex NADPH oxidase, known to be responsible for the generation of superoxides. Congenic mice carrying the Ity3 region from MOLF/Ei, B6.MOLF-Ity/Ity3 were more susceptible to infection compared with control mice heterozygous at Ity3, B6.MOLF-Ity/Ity3(MOLF/B6), confirming the existence of a recessive Salmonella susceptibility locus on distal chromosome 1. Spleen Ncf2 expression levels were lower in infected congenic mice homozygous for the MOLF/Ei allele at Ity3 compared with mice heterozygous at Ity3. C57BL/6J and MOLF/Ei Ncf2 sequence comparisons revealed one nonconservative amino acid change (R394Q) in the functional and highly conserved Phox and Bem1 domain of the protein. Functional analysis revealed that the MOLF/Ei allele had reduced PMA- and Salmonella-induced superoxide induction as compared with their wild-type counterparts ex vivo. The R394Q substitution seems to occur on an amino acid involved in electrostatic interactions with p40phox, crucial in its activation. Moreover, a human mutation in the corresponding R395W, resulting in chronic granulatomous disease, is known to lead to reduced superoxide levels. These results support the candidacy of Ncf2 as the gene underlying Ity3.

Animals↗

Pathogenomic mechanisms for particulate matter induction of acute lung injury and inflammation in mice.

To begin identifying genes controlling individual susceptibility to particulate matter, responses of inbred mouse strains exposed to nickel sulfate (NiSO4*) were compared with those of mice exposed to ozone (O3) or polytetrafluoroethylene (PTFE). The A strain was sensitive to NiSO4-induced lung injury (quantified by survival time), the C3H/He (C3) strain and several other strains were intermediate in their responses, and the C57BL/6 (B6) strain was resistant. The strains showed a pattern of response similar to the patterns of response to O3 and PTFE. The phenotype of A x B6 offspring (B6AF1) resembled that of the resistant B6 parental strain, with strains exhibiting sensitivity in the order A > C3 > B6 = B6AF1. Pathology was comparable for the A and B6 mice, and exposure to NiSO4 at 15 microg/m3 produced 20% mortality in A mice. Strain sensitivity for the presence of protein or neutrophils in lavage fluid differed from strain sensitivity for survival time, suggesting that they are not causally linked but are controlled by an independent gene or genes. In the B6 strain, exposure to nickel oxide (NiO) by instillation (40 to 1000 nm) or inhalation (50 nm) produced no changes, whereas inhalation of NiSO4 (60 or 250 nm) increased lavage proteins and neutrophils. Complementary DNA (cDNA) microarray analysis with 8,734 sequence-verified clones revealed a temporal pattern of increased oxidative stress, extracellular matrix repair, cell proliferation, and hypoxia, followed by a decrease in surfactant-associated proteins (SPs). Certain expressed sequence tags (ESTs), clustered with known genes, suggest possible coregulation and novel roles in pulmonary injury. Finally, locus number estimation (Wright equation) and a genomewide analysis suggested 5 genes could explain the survival time and identified significant linkage for a quantitative trait locus (QTL) on chromosome 6, Aliq4 (acute lung injury QTL4). Haplotype analysis identified an allelic combination of 5 QTLs that could explain the difference in sensitivity to acute lung injury between parental strains. Positional candidate genes for Aliq4 include aquaporin-1 (Aqp1), SP-B, and transforming growth factor-alpha (TGF-alpha). Transgenic mice expressing TGF-alpha were rescued from NiSO4 injury (that is, they had diminished SP-B loss and increased survival time). These findings suggest that NiSO4-induced acute lung injury is a complex trait controlled by at least 5 genes (all possibly involved in cell proliferation and surfactant function). Future assessment of these susceptibility genes (including evaluations of human synteny and function) could provide valuable insights into individual susceptibility to the adverse effects of particulate matter.

Air Pollutants↗

Evaluation of the angiotensin II receptor AT1B gene as a candidate gene for blood pressure.

OBJECTIVE: To answer two specific questions concerning the possible role played by the angiotensin II receptor AT1B (AT1B) locus in genetic hypertension. First, do alleles at the AT1B locus cosegregate with blood pressure in F2 populations in the rat and, if so, is this due to AT1B or a closely linked quantitative trait locus (QTL)? Secondly, are there any significant nucleotide differences between the coding regions of the AT1B gene of the inbred Dahl salt-sensitive (SS/Jr) strain and various control strains, or between the Lyon hypertensive (LH) strain the Lyon normotensive (LN) strain? DESIGN: The first objective was achieved by studying several F2 rat populations and by analyzing DNA markers around the AT1B locus. The second objective was accomplished by amplifying the AT1B coding regions by polymerase chain reaction from the genomic DNA, and by sequencing the relevant coding regions of the AT1B genes. RESULTS: In two F2 populations involving the SS/Jr rat, AT1B cosegregated only weakly with systolic blood pressure. Also, nucleotide differences resulting in conservative changes in three amino acids were detected between the coding region of the SS/Jr AT1B allele and the AT1B alleles of the several control strains. No nucleotide differences were found in the coding regions of the AT1B alleles between the LH and LN strains. CONCLUSION: There appeared to be a QTL which had a minor effect on blood pressure, located near the AT1B locus on rat chromosome 2. However, the AT1B gene itself is not supported as the candidate gene for causing blood pressure differences, because no nucleotide changes in the coding region that were functionally meaningful or concordant with the cosegregation analysis were detected.

Angiotensin II↗

Genetic influences on electrical seizure threshold.

C57BL/6J (B6) and DBA/2J (D2) mice have been characterized previously as seizure-resistant and seizure-sensitive, respectively, a distinction based primarily upon a differential response to the convulsant effects of various drugs. In the present study, electroconvulsive shock (ECS) was used to assess maximal electroshock threshold (MET) in B6, D2 and hybrid mice. Results revealed that D2 mice have a significantly lower MET compared to B6 mice. There was also a significant gender effect for B6 and F2 mice with females exhibiting a lower MET compared to males. METs for F1 and F2 intercross mice were intermediate between the two parental strains. The difference in variance between F2 and F1 generation mice indicated that about three-quarters of the total variance is due to genetic influence. Taken together, results of this study suggest that the large difference in MET between B6 and D2 mice is a highly heritable trait which may yield to genetic dissection through use of quantitative trait locus mapping.

Animals↗

Pathophysiological and genetic characterization of the major diabetes locus in GK rats.

Genetic studies of the type 2 diabetes-like GK rat have revealed several susceptibility loci for the compound diabetes phenotype. Congenic strains were established for Niddm1, the major quantitative trait locus (QTL) for postprandial glucose levels, by transfer of GK alleles onto the genome of the normoglycemic F344 rat. Despite the polygenic nature of diabetes in GK, the locus-specific diabetes phenotype was retained in the congenic strain Niddmla, containing a GK-derived genomic fragment of 52 cM from the Niddm1 locus. Furthermore, Niddm1 was divided into two non-overlapping loci, physically separated in the two congenic strains Niddmlb and Niddm1i with distinct metabolic phenotypes. Both strains displayed postprandial hyperglycemia and reduced insulin action in isolated adipose cells. Furthermore, Niddm1i already exhibits a pronounced in vivo insulin secretion defect at 65 days, while Niddm1b develops a relative insulin secretory defect at 95 days. This suggests that Niddm1i impairs mechanisms common to insulin secretion in pancreatic B-cells and insulin action in adipocytes. Niddm1b rats show signs of increasing insulin resistance with age associated with obesity, hyperinsulinemia, and dyslipidemia. Moreover, the data indicated nonallelic interaction (epistasis) between Niddm1b and Niddm1i on the postprandial glucose levels. These data emphasize the pathophysiological complexity of diabetes, even within an apparently single QTL, and demonstrate the potential of the GK model in transforming the multifactorial diabetes phenotype into single traits, suitable for positional cloning.

Adipose Tissue↗

Allele association studies with SSR and SNP markers at known physical distances within a 1 Mb region embracing the ALDH2 locus in the Japanese, demonstrates linkage disequilibrium extending up to 400 kb.

There has been considerable recent debate concerning the distances over which levels of allelic association useful for genomic quantitative trait locus (QTL) scans can be detected. We have examined simple sequence repeat (SSR) polymorphisms and two single nucleotide polymorphisms (SNPs) in the region flanking the aldehyde dehydrogenase 2 locus, ALDH2, in populations of Japanese alcoholics and controls. These groups differ significantly in the allele frequencies for the functional SNP in exon XII of this gene located on chromosome 12. The results obtained with SSR markers complement recent investigations with SNPs over similar distances at the TCR alpha/delta locus. Significant allelic association with this marker could be detected for SSRs over distances up to 400 kb and over 37 kb for the SNP thereby extending the distance over which LD at this locus could be detected by an order of magnitude. Furthermore, as a proof of principle, we show that comparisons of allele frequency differences for the SSR markers in the case (alcoholics) and control populations would have detected the ALDH2 marker as a putative QTL. Extending the tests to include alleles at two or three flanking loci suggests that the power to detect QTLs through association can be enhanced significantly.

Alcohol Dehydrogenase↗

Complement factor 5 is a quantitative trait gene that modifies liver fibrogenesis in mice and humans.

Fibrogenesis or scarring of the liver is a common consequence of all chronic liver diseases. Here we refine a quantitative trait locus that confers susceptibility to hepatic fibrosis by in silico mapping and show, using congenic mice and transgenesis with recombined artificial chromosomes, that the gene Hc (encoding complement factor C5) underlies this locus. Small molecule inhibitors of the C5a receptor had antifibrotic effects in vivo, and common haplotype-tagging polymorphisms of the human gene C5 were associated with advanced fibrosis in chronic hepatitis C virus infection. Thus, the mouse quantitative trait gene led to the identification of an unknown gene underlying human susceptibility to liver fibrosis, supporting the idea that C5 has a causal role in fibrogenesis across species.

Animals↗

Quantitative trait loci affecting ethanol sensitivity in BXD recombinant inbred mice.

BACKGROUND: Genetic and environmental factors contribute to an individual's sensitivity to ethanol, although the exact genes underlying ethanol's effects are not known. Quantitative trait locus (QTL) mapping is one successful method for provisionally identifying genes participating in the mediation of a given behavior. QTL analyses seek to identify associations between a quantitative response and previously mapped marker genes across genetically diverse individuals. Many QTL analyses have been performed in BXD recombinant inbred (RI) strains of mice derived from a cross of C57BL/6J (B6) and DBA/2J (D2) progenitor strains. METHODS: We conducted a QTL analysis of ethanol-induced loss of righting reflex and ataxia using a panel of 25 BXD RI strains and the progenitors B6 and D2. We measured the duration of loss of righting reflex after injection and blood ethanol concentrations upon regaining of righting reflex. Ataxia was measured as the latency to fall from a vertical screen. RESULTS: Genome-wide QTL analyses correlating strain means with allelic status at >1500 markers identified several associations (p < or = 0.01). These provisional QTLs were on all chromosomes except 2, 5, 12, 13, and X, and several map near potential candidate genes. CONCLUSIONS: These results suggest that ethanol sensitivity is determined by the actions of multiple genes and further suggest their general chromosomal map locations. These provisional linkages will now be confirmed or rejected using additional genetically segregating populations.

Alcohol Drinking↗

Comparative plant development: the time of the leaf?

A key problem in developmental biology is understanding the origin of morphological innovations. Comparative studies in plants with different leaf morphologies indicate that the developmental pathway defined by KNOTTED1-type homeodomain proteins could be involved in generating different leaf forms. The differential expression of regulatory proteins has emerged as an important factor in driving morphological innovations in the plant kingdom--an idea that is well supported by quantitative trait locus analyses.

Biological Evolution↗

Blood groups and milk and type traits in dairy cattle: after forty years of research.

This study addresses the utility of 11 blood groups as selection aids in Holstein breeding schemes and considers issues inherent to the approach of resolving quantitative variation into components that are due to quantitative trait loci. The data consisted of predicted transmitting abilities of 22,614 bulls, first lactation information on 1,924,171 cows, and type scores on 447,800 cows. Linear models were fitted under male half-sib designs, female half-sib designs, and granddaughter designs as well as under the assumption of direct effects of the markers. The evolution of allele frequencies through time was determined, and previous research results were synthesized according to criteria of consistency of biological significance. The inconsistency of results across studies and analytical designs alludes to the importance of the intrinsic nonadditivity of genetic and biological phenomena to quantitative trait locus detection and marker-assisted selection. In our analyses, three associations met the criteria of consistency--a C blood group effect on rump angle, an L effect on milk yield and composition traits, and an S effect on milk fat yield. The M locus appears to be directly associated with effects on milk and protein yields. An enhanced understanding of the biochemical and physiological bases of quantitative genetics should be a long-term objective of this type of genetic analysis.

Animals↗

A murine locus on chromosome 18 controls NKT cell homeostasis and Th cell differentiation.

Th cell differentiation is a critical event in the adaptive immune response. C57BL strains develop predominant Th1 responses while BALB/c develops a predominant Th2 response. To identify quantitative trait loci controlling this variation, we performed Th1/Th2 differentiation assays of F(1) x BALB/c progeny. A single strong quantitative trait locus was identified on chromosome 18, with weaker effects detectable on chromosomes 5, 12, and 14. By preparing a congenic BALB.B10.D2c18 strain, we were able to demonstrate that this single locus was sufficient to "repolarize" spleen cell cultures. This difference was not due to intrinsic differences in CD4(+) T cells. Rather, introgression of the chromosome 18 locus into BALB/c disrupted Va14Ja18 NKT cell homeostasis resulting in the almost complete absence of this T cell subset. Taken together, these data indicate that genes within chromosome 18 control strain-dependent development of Va14Ja18 NKT cells.

Animals↗

A quantitative genetic analysis of slow-wave sleep and rapid-eye movement sleep in CXB recombinant inbred mice.

Various inbred strains of mice show different daily amounts of slow-wave sleep (SWS) and rapid-eye movement sleep (REMS), suggesting the possibility of genetic influences on sleep propensity. Previous work by others studying the spontaneous sleep patterns of seven strains of CXB recombinant inbred (RI) mice suggested several candidate quantitative trait loci (QTLs) associated with variation in REMS. Extending this approach, we evaluated the sleep patterns of 13 CXB RI strains and conducted linkage analyses based on 223 discrete informative loci. The probability density distribution of light phase REMS for the CXB RI strains showed deflections that correspond approximately to the parental phenotypes. This type of pattern is consistent with the presence of a low number of major effect quantitative trait loci. Regions of chromosomes 4, 16, and 17 showed provisional linkage to strain variation in REMS. The distribution of loci further suggested that dark phase and light phase REMS may be regulated by different genetic factors. Probabilities of linkage were not sufficient for declaration of a quantitative trait locus for REMS but were sufficient to warrant further analysis either with additional RI strains or with F2 panels.

Animals↗

Fine scale mapping of a genetic locus for conditioned fear.

Fear conditioning is one of a number of models for investigating the genetic basis of individual variation in emotion and learning. Genetic mapping using crosses between strains of laboratory mice has identified a locus on chromosome one that appears to influence not only variation in conditioned fear, but also in other validated tests of fear-related behaviour, (including the open-field and the elevated-plus maze), suggesting that the rodent locus may act in ways consistent with how a locus influencing susceptibility to anxiety in humans is believed to operate. Here we use high-resolution mapping in genetically heterogeneous mice to show that a quantitative trait locus influencing conditioned fear can be separated from loci influencing open-field activity. Mapping in two different heterogeneous stocks, the Boulder and Northport HS, gave similar map locations for open-field activity at two positions on the current mouse physical map, one at 162 Mb on chromosome one (negative log P-value 5.4) the other at 173 Mb (negative log P-value 4.8), while mapping of contextual conditioned fear in the Boulder HS identified a locus at 170 Mb (negative log P-value 5.4). Estimates of the 95% confidence intervals show that the locations do not overlap. The region containing a gene or genes that influence variation in conditioned fear is approximately 1 megabase in size and contains only one gene of known function, a pre-B cell leukaemia factor.

Animals↗

The genetic structure of recombinant inbred mice: high-resolution consensus maps for complex trait analysis.

BACKGROUND: Recombinant inbred (RI) strains of mice are an important resource used to map and analyze complex traits. They have proved particularly effective in multidisciplinary genetic studies. Widespread use of RI strains has been hampered by their modest numbers and by the difficulty of combining results derived from different RI sets. RESULTS: We have increased the density of typed microsatellite markers two- to five-fold in each of several major RI sets that share C57BL/6 as a parental strain (AXB, BXA, BXD, BXH and CXB). A common set of 490 markers was genotyped in just over 100 RI strains. Genotypes of around 1,100 additional microsatellites in one or more RI sets were generated, collected and checked for errors. Consensus RI maps that integrate genotypes of approximately 1,600 microsatellite loci were assembled. The genomes of individual strains typically incorporate 45-55 recombination breakpoints. The collected RI set - termed the BXN set - contains approximately 5,000 breakpoints. The distribution of recombinations approximates a Poisson distribution and distances between breakpoints average about 0.5 centimorgans (cM). Locations of most breakpoints have been defined with a precision of < 2 cM. Genotypes deviate from Hardy-Weinberg equilibrium in only a small number of intervals. CONCLUSIONS: Consensus maps derived from RI strains conform almost exactly to theoretical expectation and are close to the length predicted by the Haldane-Waddington equation (x3.6 for a 2-3 cM interval between markers). Non-syntenic associations between different chromosomes introduce predictable distortions in quantitative trait locus (QTL) datasets that can be partly corrected using two-locus correlation matrices.

Alleles↗

Replication of linkage to quantitative trait loci: variation in location and magnitude of the lod score.

Replication of linkage signals from independent samples is considered an important step toward verifying the significance of linkage signals in studies of complex traits. The purpose of this empirical investigation was to examine the variability in the precision of localizing a quantitative trait locus (QTL) by analyzing multiple replicates of a simulated data set with the use of variance components-based methods. Specifically, we evaluated across replicates the variation in both the magnitude and the location of the peak lod scores. We analyzed QTLs whose effects accounted for 10-37% of the phenotypic variance in the quantitative traits. Our analyses revealed that the precision of QTL localization was directly related to the magnitude of the QTL effect. For a QTL with effect accounting for > 20% of total phenotypic variation, > 90% of the linkage peaks fall within 10 cM from the true gene location. We found no evidence that, for a given magnitude of the lod score, the presence of interaction influenced the precision of QTL localization.

Chromosome Mapping↗

QTL associated with blood pressure, heart rate, and heart weight in CBA/CaJ and BALB/cJ mice.

To better understand the genetic basis of essential hypertension, we conducted a quantitative trait locus (QTL) analysis of a population of 207 (BALB/cJ x CBA/CaJ) F(2) male mice to identify genomic regions that regulate blood pressure, heart rate, and heart weight. We identified two loci, Bpq6 (blood pressure quantitative locus 6) on chromosome 15 (Chr 15; peak, 16 cM; 95% confidence interval, 0-25 cM) and Bpq7 on Chr 7 (peak, 42 cM; 95% confidence interval, 35-50 cM) that were significantly associated with blood pressure. We also identified two loci, Hrq1 (heart rate quantitative locus 1) and Hrq2, on D2Mit304 (peak, 72 cM; 95% confidence interval 60-80 cM) and D15Mit184 (peak, 25 cM; 95% confidence interval 20-35 cM), respectively, that were significantly associated with heart rate. A significant gene-gene interaction for heart rate was found between Hrq1 and D1Mit10 (peak, 57 cM; 95% confidence interval, 45-75 cM); the latter QTL was named Hrq3. We identified a significant locus for heart weight, Hwq1 (heart weight quantitative locus 1), at D14Mit67 (peak, 38 cM; 95% confidence interval, 20-43 cM). Identification of the genes for these QTL should lead to a better understanding of the causes of essential hypertension.

Animals↗