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Mapping of provisional quantitative trait loci influencing temporal variation in locomotor activity in the LS x SS recombinant inbred strains.

The finding that stress-induced locomotor activity exhibited a significant strain x time interaction in the LS x SS RI strains prompted examination of QTL influencing this behavior as a function of time. The degree of genetic determination for locomotor activity was 0.26 for the first 5 min and decreased to 0.16 for the last 5 min of a 30-min test but the number of genetic factors stayed relatively constant (three or four) across time. A QTL point analysis revealed a total of 15 QTL, 5-8 per 5-min time block. Few of the QTL were detected across all time points and different combinations of QTL were evident for each time period. Five of the QTL were in common with those reported by other investigators for similar behaviors. The results suggest that locomotor behavior is under a greater degree of genetic control during the initial part of the test but environmental factors become increasingly important as the test progresses. Furthermore, different genetic factors appear to be mediating genetic variation in locomotor behavior at any given time point.

Analysis of Variance↗

Detection of new quantitative trait Loci for susceptibility to transmissible spongiform encephalopathies in mice.

Susceptibility to scrapie is largely controlled by the PRNP gene in mice and in several other species. However, individuals with identical scrapie susceptibility Prnp alleles may have very different incubation periods, suggesting the influence of other environmental and genetic factors. To detect loci influencing susceptibility to TSE, two mouse lines carrying the same PRNP genotype (C57BL and RIII) were crossed to produce an F2 population inoculated intracerebrally with a mouse-adapted scrapie strain. Linkage was studied between 72 markers and the age of death of F2 animals. Six QTL were detected, two at a genome-wide significant level (chromosomes 5 and 7) and four at a genome-wide suggestive level (chromosomes 4, 6, 8, and 17). Our results confirmed the existence of some QTL that were detected previously (chromosomes 4, 6, 7, and 8) while others were found only in the present study (chromosomes 5 and 17). Furthermore, it seems that some QTL (chromosomes 4 and 8) are involved in resistance to scrapie as well as to BSE.

Animals↗

Two linked blood pressure quantitative trait loci on chromosome 10 defined by dahl rat congenic strains.

Aquantitative trait locus (QTL) for blood pressure was previously detected on rat chromosome 10 (RNO10) by linkage analysis and confirmed by the construction of congenic strains that encompass large regions of RNO10. In the present study, the rat RNO10 blood pressure QTL was dissected by the further construction of congenic substrains. The original congenic region was shown to contain 2 blood pressure QTLs (QTL 1 and QTL 2) approximately 24 cM apart. These were localized to a <2.6-cM region between markers D10Rat27 and D10Rat24 for QTL 1 and to a <3.2-cM region between D10Rat12 and D10Mco70 for QTL 2. Comparative mapping suggests that the rat RNO10 QTL 2 could be localized very close to a blood pressure QTL described by sib-pair analysis on human chromosome 17, but this is not definitively established because of multiple and complex chromosomal rearrangements between rodents and humans.

Animals↗

Detection of quantitative trait loci associated with alcohol-dependence: use of model-free sib-pair method and combined segregation-linkage analysis based on regressive models.

Two linkage methods were used to detect loci underlying neurophysiological measures associated with alcohol dependence 1) the Haseman-Elston (H-E) sib pair method for genome-wide search, and 2) the combined segregation-linkage (CSL), based on regressive models, to confirm positive linkages found by the genome screening. Among 14 linkage results that were significant at the 0.5% level using H-E, the CSL method leads to similar p-values in only three cases but to higher p-values in all others. Investigation of these discrepancies shows that assumptions (normality and homoscedasticity of the error term) of H-E least-squares regression method are not verified. A robust estimator of slope parameters without assuming any distribution function for the linear model error terms increases the p-values and reduces the difference between H-E and CSL results. Alternatively, the CSL approach may lack power when multiple genes with small effects are involved.

Alcoholism↗

Mapping quantitative trait loci associated with resistance to coccidiosis and growth.

To map QTL associated with disease resistance to avian coccidiosis and growth, two commercial broiler lines with different degrees of resistance to the disease were crossed to generate an F1 generation that was intercrossed to produce 314 F2 generation offspring. The F2 offspring were inoculated with sporulated oocysts of Eimeria maxima. Five disease-associated phenotypes were measured after the infection. Intertrait comparisons revealed that oocyst shedding was a good parameter for evaluating disease resistance or susceptibility. One hundred nineteen microsatellite markers, covering 80% of the chicken genome with an average marker interval of 25 cM, were used for genotyping of F1 parents and F2 offspring. Statistical analysis based on the data of four families revealed a locus on chromosome 1 associated with oocyst shedding (logarithm of odds = 3.46). The genetic mechanism of this locus appeared additive. The genomic scan also identified three potential growth QTL on chromosomes 1, 6, and 8. These results provide the foundation for further investigation to validate the QTL.

Animals↗

Positional cloning of the human quantitative trait locus underlying taste sensitivity to phenylthiocarbamide.

The ability to taste the substance phenylthiocarbamide (PTC) has been widely used for genetic and anthropological studies, but genetic studies have produced conflicting results and demonstrated complex inheritance for this trait. We have identified a small region on chromosome 7q that shows strong linkage disequilibrium between single-nucleotide polymorphism (SNP) markers and PTC taste sensitivity in unrelated subjects. This region contains a single gene that encodes a member of the TAS2R bitter taste receptor family. We identified three coding SNPs giving rise to five haplotypes in this gene worldwide. These haplotypes completely explain the bimodal distribution of PTC taste sensitivity, thus accounting for the inheritance of the classically defined taste insensitivity and for 55 to 85% of the variance in PTC sensitivity. Distinct phenotypes were associated with specific haplotypes, which demonstrates that this gene has a direct influence on PTC taste sensitivity and that sequence variants at different sites interact with each other within the encoded gene product.

Alleles↗

Two-loci interaction confirms arthritis-regulating quantitative trait locus on rat chromosome 6.

A form of genetic interaction, or epistasis, occurs when one gene interferes with the phenotypic effect of another nonallelic gene. In pristane-induced arthritis (PIA) in rats we have previously identified Pia3, on chromosome 6, to be a locus that regulates onset of disease. In a single congenic strain containing Pia3 on the arthritis-susceptible DA background, DA.Pia3, no difference in onset of disease or early disease severity could be detected. After a two-loci interaction analysis of (E3 x DA)F2 intercross data, Pia3 was found to interact with Pia4 (chromosome 12). Subsequently, the DA.Pia3 congenic strain was combined with the DA.Pia4 congenic strain so that an effect of Pia3 could be observed. The effect of heterozygosity in Pia4 results in lower severity and thus in combination with Pia3 made it possible to observe that Pia3 alleles from the arthritis-resistant E3 strain rendered more severe arthritis into the otherwise 100% susceptible DA strain. As the introduction of Pia4 heterozygosity results in a lower level of arthritis severity we regard this as an additive interaction with a severity threshold-lowering effect.

Animals↗

Sperm mobility: a quantitative trait of the domestic fowl (Gallus domesticus).

Sperm from each rooster within a base population (n = 271) were evaluated with a mobility assay validated in previous work. Frequency analysis confirmed a normal distribution for the variable of sperm mobility. Repeated-measure analysis of males categorized by phenotype demonstrated that average and high sperm mobility phenotypes were distinct and independent of time. Sperm morphology, fertilizing ability, and ATP content were compared between phenotypes. Fertility and sperm ATP content differed (p < 0.001) between phenotypes, whereas sperm morphology did not (p > 0.05). Experimentation with washed sperm demonstrated that phenotype was fully expressed when mitochondrial respiration was the only source of ATP. Sperm mobility increased (p < 0.001) when sperm from average males were exposed to calyculin A, a protein phosphatase inhibitor. Correlation analyses were performed with data from a subpopulation (n = 46) whose range, mean, and variance were equivalent to those of the base population. Neither body weight nor the combined weight of the testes was correlated with sperm mobility (r = -0.02 and 0.01, respectively). In contrast, sperm ATP content was correlated with sperm mobility (r = 0.80). We attribute phenotypic differences in sperm mobility to differential rates of mitochondrial ATP synthesis.

Adenosine Triphosphate↗

Quantitative trait loci for life span in Drosophila melanogaster: interactions with genetic background and larval density.

The genetic architecture of variation in adult life span was examined for a population of recombinant inbred lines, each of which had been crossed to both inbred parental strains from which the lines were derived, after emergence from both high and low larval density. QTL affecting life span were mapped within each sex and larval density treatment by linkage to highly polymorphic roo-transposable element markers, using a composite interval mapping method. We detected a total of six QTL affecting life span; the additive effects and degrees of dominance for all were highly sex- and larval environment-specific. There were significant epistatic interactions between five of the life span QTL, the effects of which also differed according to genetic background, sex, and larval density. Five additional QTL were identified that contributed to differences among lines in their sensitivity to variation in larval density. Further fine-scale mapping is necessary to determine whether candidate genes within the regions to which the QTL map are actually responsible for the observed variation in life span.

Analysis of Variance↗

Comparative quantitative trait loci mapping of aliphatic, indolic and benzylic glucosinolate production in Arabidopsis thaliana leaves and seeds.

Secondary metabolites are a diverse set of plant compounds believed to have numerous functions in plant-environment interactions. Despite this importance, little is known about the regulation of secondary metabolite accumulation. We are studying the regulation of glucosinolates, a large group of secondary metabolites, in Arabidopsis to investigate how secondary metabolism is controlled. We utilized Ler and Cvi, two ecotypes of Arabidopsis that have striking differences in both the types and amounts of glucosinolates that accumulate in the seeds and leaves. QTL analysis identified six loci determining total aliphatic glucosinolate accumulation, six loci controlling total indolic glucosinolate concentration, and three loci regulating benzylic glucosinolate levels. Our results show that two of the loci controlling total aliphatic glucosinolates map to biosynthetic loci that interact epistatically to regulate aliphatic glucosinolate accumulation. In addition to the six loci regulating total indolic glucosinolate concentration, mapping of QTL for the individual indolic glucosinolates identified five additional loci that were specific to subsets of the indolic glucosinolates. These data show that there are a large number of variable loci controlling glucosinolate accumulation in Arabidopsis thaliana.

Amino Acids↗

Fine mapping of a grain-weight quantitative trait locus in the pericentromeric region of rice chromosome 3.

As the basis for fine mapping of a grain-weight QTL, gw3.1, a set of near isogenic lines (NILs), was developed from an Oryza sativa, cv. Jefferson x O. rufipogon (IRGC105491) population based on five generations of backcrossing and seven generations of selfing. Despite the use of an interspecific cross for mapping and the pericentromeric location of the QTL, we observed no suppression of recombination and have been able to narrow down the location of the gene underlying this QTL to a 93.8-kb region. The locus was associated with transgressive variation for grain size and grain weight in this population and features prominently in many other inter- and intraspecific crosses of rice. The phenotype was difficult to evaluate due to the large amount of variance in size and weight among grains on a panicle and between grains on primary and secondary panicles, underscoring the value of using multiple approaches to phenotyping, including extreme sampling and NIL group-mean comparisons. The fact that a QTL for kernel size has also been identified in a homeologous region of maize chromosome 1 suggests that this locus, in which the dominant O. rufipogon allele confers small seed size, may be associated with domestication in cereals.

Chromosome Mapping↗

Identification of major quantitative trait loci controlling body weight variation in ob/ob mice.

The adipocyte hormone leptin constitutes an important component of the regulation of energy homeostasis; leptin-deficient animals, such as obese mice, are strikingly overweight. The seemingly uninhibited weight gain in obese mice belies the fact that control of energy homeostasis remains under precise, heritably modifiable control. Herein, we report large, heritable differences in body weight and food intake between BTBR-ob/ob and B6-ob/ob mice. We have identified two loci, called modifier of obese (Moo1 and Moo2), that explain the majority of the heritable variance in (BTBR x B6) F(2)-ob/ob mice. Using interval-specific congenic mouse lines, we mapped Moo1 to an 8-Mb segment of chromosome 2 and demonstrated that Moo1 exerts its effects primarily by regulating total fat mass. Although null alleles of leptin are rare, the majority of overweight adults are leptin resistant, suggesting that leptin-independent pathways, such as those studied here, are important regulators of energy homeostasis. Thus, the identification of these loci may provide important new insights into the pathogenesis of human obesity.

Aging↗

Automated measurement of mouse freezing behavior and its use for quantitative trait locus analysis of contextual fear conditioning in (BALB/cJ x C57BL/6J)F2 mice.

The most commonly measured mouse behavior in fear conditioning tests is freezing. A technical limitation, particularly for genetic studies, is the method of direct observation used for quantifying this response, with the potential for bias or inconsistencies. We report the use of a computerized method based on latency between photobeam interruption measures as a reliable scoring criterion in mice. The different computer measures obtained during contextual fear conditioning tests showed high correlations with hand-scored freezing; r values ranged from 0.87 to 0.94. Previously reported strain differences between C57BL/6J and DBA/2J in context-dependent fear conditioning were also detected by the computer-based system. In addition, the use of computer-scored freezing of 199 (BALB/cJ x C57BL/6J)F2 mice enabled us to detect a suggestive gender-dependent chromosomal locus for contextual fear conditioning on distal chromosome 8 by QTL analysis. Automation of freeze scoring would significantly increase efficiency and reliability of this learning and memory test.

Animals↗

The role of pedigree information in combined linkage disequilibrium and linkage mapping of quantitative trait loci in a general complex pedigree.

Combined linkage disequilibrium and linkage (LDL) mapping can exploit historical as well as recent and observed recombinations in a recorded pedigree. We investigated the role of pedigree information in LDL mapping and the performance of LDL mapping in general complex pedigrees. We compared using complete and incomplete genotypic data, spanning 5 or 10 generations of known pedigree, and we used bi- or multiallelic markers that were positioned at 1- or 5-cM intervals. Analyses carried out with or without pedigree information were compared. Results were compared with linkage mapping in some of the data sets. Linkage mapping or LDL mapping with sparse marker spacing ( approximately 5 cM) gave a poorer mapping resolution without considering pedigree information compared to that with considering pedigree information. The difference was bigger in a pedigree of more generations. However, LDL mapping with closely linked markers ( approximately 1 cM) gave a much higher mapping resolution regardless of using pedigree information. This study shows that when marker spacing is dense and there is considerable linkage disequilibrium generated from historical recombinations between flanking markers and QTL, the loss of power due to ignoring pedigree information is negligible and mapping resolution is very high.

Alleles↗

Quantitative trait loci for the monoamine-related traits heart rate and headless behavior in Drosophila melanogaster.

Drosophila melanogaster appears to be well suited as a model organism for quantitative pharmacogenetic analysis. A genome-wide deficiency screen for haploinsufficient effects on prepupal heart rate identified nine regions of the genome that significantly reduce (five deficiencies) or increase (four deficiencies) heart rate across a range of genetic backgrounds. Candidate genes include several neurotransmitter receptor loci, particularly monoamine receptors, consistent with results of prior pharmacological manipulations of heart rate, as well as genes associated with paralytic phenotypes. Significant genetic variation is also shown to exist for a suite of four autonomic behaviors that are exhibited spontaneously upon decapitation, namely, grooming, grasping, righting, and quivering. Overall activity levels are increased by application of particular concentrations of the drugs octopamine and nicotine, but due to high environmental variance both within and among replicate vials, the significance of genetic variation among wild-type lines for response to the drugs is difficult to establish. An interval mapping design was also used to map two or three QTL for each behavioral trait in a set of recombinant inbred lines derived from the laboratory stocks Oregon-R and 2b.

Animals↗

Identification of quantitative trait loci influencing wood property traits in loblolly pine (Pinus taeda L.). III. QTL Verification and candidate gene mapping.

A long-term series of experiments to map QTL influencing wood property traits in loblolly pine has been completed. These experiments were designed to identify and subsequently verify QTL in multiple genetic backgrounds, environments, and growing seasons. Verification of QTL is necessary to substantiate a biological basis for observed marker-trait associations, to provide precise estimates of the magnitude of QTL effects, and to predict QTL expression at a given age or in a particular environment. Verification was based on the repeated detection of QTL among populations, as well as among multiple growing seasons for each population. Temporal stability of QTL was moderate, with approximately half being detected in multiple seasons. Fewer QTL were common to different populations, but the results are nonetheless encouraging for restricted applications of marker-assisted selection. QTL from larger populations accounted for less phenotypic variation than QTL detected in smaller populations, emphasizing the need for experiments employing much larger families. Additionally, 18 candidate genes related to lignin biosynthesis and cell wall structure were mapped genetically. Several candidate genes colocated with wood property QTL; however, these relationships must be verified in future experiments.

Chromosome Mapping↗

Quantitative trait loci that influence the expression of guarding and stinging behaviors of individual honey bees.

This study was conducted to test for the effect of three stinging behaviors QTLs (sting-1, sting-2 and sting-3) on the expression of guarding and stinging behavior of individual honey bees, and to determine if results of defensive behavior QTLs found in studies with Africanized honey bees could be extended to other populations of bees. Samples of guards, stingers, foragers and nurse bees were taken from two backcross colonies derived from a defensive colony and a gentle colony. The genotype of each bee for both types of colonies was determined for two sequence tagged site (STS) markers linked to sting-1 and for another two STSs, one linked to sting-2 and one linked to sting-3. Results showed that sting-1 had an effect on the expression of both stinging and guarding behaviors, sting-2 and sting-3 influenced the expression of guarding behavior. These results indicate that division of labor is influenced by specific QTLs. Results also show that QTLs mapped in a population of Africanized honey bees using colony level phenotypes also influenced the expression of guarding and stinging behavior of individual bees of other populations.

Aggression↗

Naturally segregating quantitative trait loci affecting wing shape of Drosophila melanogaster.

Variation in vein position and wing shape of Drosophila melanogaster depends on many genes. In the following, we report the results of a QTL analysis of wing shape in D. melanogaster. We identified QTL responsible for natural variation for wing shape and analyzed their interactions with developmental genetic signaling pathways important for vein positioning. The QTL analysis indicated that the total number of QTL segregating in this population is likely to be very large. The locations of putative QTL identified in this study were compared to those identified in previous studies and, while there is more correspondence across studies than expected by chance on the third chromosome, the studies appear to have identified different QTL. Using a complementation design, we tested for interactions among these QTL with the Hedgehog and Decapentaplegic signaling pathways, which are important for the development and position of vein pairs L3-L4 and L2-L5. Three QTL showed strong interactions with these two pathways, supporting the hypothesis that these QTL are involved in these pathways. Naturally segregating variation can therefore act through known signaling pathways to produce variation in vein position.

Animals↗

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