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PubMed2002

A deer (subfamily Cervinae) genetic linkage map and the evolution of ruminant genomes.

Comparative maps between ruminant species and humans are increasingly important tools for the discovery of genes underlying economically important traits. In this article we present a primary linkage map of the deer genome derived from an interspecies hybrid between red deer (Cervus elaphus) and Père David's deer (Elaphurus davidianus). The map is approximately 2500 cM long and contains >600 markers including both evolutionary conserved type I markers and highly polymorphic type II markers (microsatellites). Comparative mapping by annotation and sequence similarity (COMPASS) was demonstrated to be a useful tool for mapping bovine and ovine ESTs in deer. Using marker order as a phylogenetic character and comparative map information from human, mouse, deer, cattle, and sheep, we reconstructed the karyotype of the ancestral Pecoran mammal and identified the chromosome rearrangements that have occurred in the sheep, cattle, and deer lineages. The deer map and interspecies hybrid pedigrees described here are a valuable resource for (1) predicting the location of orthologs to human genes in ruminants, (2) mapping QTL in farmed and wild deer populations, and (3) ruminant phylogenetic studies.

Animals↗

PubMed2004

QTLs for pre- and postweaning body weight and body composition in selected mice.

In an intercross between the high-body-weight-selected mouse line NMRI8 and the inbred line DBA/2, we analyzed genetic effects on growth during the suckling period and after weaning during the juvenile phase of development. QTL mapping results indicated that a switch of gene activation might occur at the age of three weeks when animals are weaned. We found QTLs for body weight with major effects at the age of two and three weeks when animals are fed by their mothers, and QTLs with highest effects after weaning when animals have to live on their own under ad libitum access to food. Specific epistatic effects on body weight at two and three weeks and epistatic interaction influencing growth after weaning support this finding. QTL effects explained the greatest variance during puberty when animals grow fastest and become fertile. In the present study, all except one QTL effect for early body weight had dominance variance components. These might result from direct single-locus-dominant allelic expression, but also from the identified epistatic interaction between different QTLs that we have found for body weight at all ages. Beside body weight, body composition traits (muscle weight, reproductive fat weight, weight of inner organs) were analyzed. Sex-dimorphic QTLs were found for body weight and fat deposition. The identified early-growth QTLs could be the target of epigenetic modifications which might influence body weight at later ages.

Age Factors↗

PubMed1998

Genetic determinants of autoimmune disease and coronary vasculitis in the MRL-lpr/lpr mouse model of systemic lupus erythematosus.

MRL-lpr/lpr (MRL/lpr) mice are a model of human autoimmune disease. They exhibit a number of characteristics of systemic lupus erythematosus, including anti-DNA Abs, anti-cardiolipin Abs, immune complex-mediated vasculitis, lymphadenopathy, and severe glomerulonephritis. Although the autoimmune disorder is mediated primarily by mutation of the Fas gene (lpr), which interferes with lymphocyte apoptosis, MRL/lpr mice also have other predisposing genetic factors. In an effort to identify these additional factors, we have applied quantitative trait locus (QTL) mapping using an intercross between MRL/lpr mice and the nonautoimmune inbred strain BALB/cJ. A complete linkage map spanning the entire genome was constructed for 189 intercross progeny, and genetic loci contributing to features of the autoimmunity were identified using statistical analytic procedures. As expected, the primary genetic determinant of autoimmune disease in this cross was the Fas gene on mouse chromosome 19, exhibiting a lod score of 60. In addition, two novel loci, one on chromosome 2 (lod score, 4.3) and one on chromosome 11 (lod score, 3.1), were found to contribute to levels of anti-DNA Abs. Interestingly, the chromosome 19 and chromosome 11 QTLs, but not the chromosome 2 QTL, also exhibited associations with anti-cardiolipin Abs (lod scores, 38.4 and 2.6). We further examined the effects of these QTLs on the development of coronary vasculitis in the F2 mice. Our results indicate that the QTLs on chromosomes 11 and 19 also control the development of vasculitis, demonstrating common genetic determinants of autoantibody levels and vasculitis.

Animals↗

PubMed2003

Molecular mapping of genomic regions underlying barley yellow dwarf tolerance in cultivated oat (Avena sativa L.).

Barley yellow dwarf (BYD) is one of the most important viral diseases in small grains, including oat (Avena sativa L.). Breeding for BYD tolerance is an effective and efficient means to control the disease. Characterization of major sources of tolerance, and identification of marker and the trait associations, will directly benefit breeding for BYD tolerance. Genomic regions underlying BYD tolerance were mapped and characterized in an oat population consisting of 152 recombinant inbred lines from the cross of 'Ogle' (tolerant)/MAM17-5 (sensitive). Tolerance was evaluated in replicated field trials across 2 years under artificial inoculation with viruliferous aphids harboring BYD virus isolate PAV-IL. Composite interval mapping was used for quantitative trait loci (QTLs) analysis with a framework map consisting of 272 molecular markers. Four QTLs, BYDq1, BYDq2, BYDq3 and BYDq4, for BYD tolerance were identified on linkage groups OM1, 5, 7 and 24, respectively. All but BYDq2 were consistently detected across both years. Significant epistasis was found between some QTLs. The final model including the epistatic effect explained 50.3 to 58.2% of the total phenotypic variation for BYD tolerance. Some QTLs for BYD tolerance were closely linked to QTLs for plant height and days to heading. Potential problems with QTL mapping for BYD tolerance have been discussed. The identified association of markers and tolerance should be useful to pyramid favorable alleles for BYD tolerance into individual oat lines.

Adaptation, Physiological↗

PubMed2002

Examination of OLETF-derived non-insulin-dependent diabetes mellitus QTL by construction of a series of congenic rats.

The Otuska Long-Evans Tokushima Fatty (OLETF) rat is one of the well-characterized animal models for the study of type 2 diabetes. Our previous QTL mapping identified 11 loci responsible for non-insulin-dependent diabetes mellitus (NIDDM) susceptibility in the OLETF rat. Here we generated a series of congenic animals by individually introgressing all 11 OLETF-derived NIDDM loci into a normoglycemic F344 background. Subsequent oral glucose tolerance test revealed that the congenic strains for Nidd1/of, Nidd2/of, Nidd3/of Nidd4/of, Nidd7/of, and Nidd10/of showed significantly higher levels of blood glucose in comparison with parental host strain F344. Furthermore, simultaneously made heterozygote animals for Nidd1/of and Nidd2/of did not increase blood glucose levels, indicating that these loci are recessively inherited as predicted by the QTL analysis. Congenic strains for the other five loci-Nidd5/of, Nidd6/of, Nidd8/of, Nidd9/of, and Nidd11/of-were apparently normoglycemic, presumably owing to heterosis or because the effect of these loci may not be detected unless interactions with other OLETF genes exist. We believe that these congenic strains should provide useful agents for decomposing complex diabetic traits and for positional cloning.

Animals↗

PubMed2005

A 12,000-rad porcine radiation hybrid (IMNpRH2) panel refines the conserved synteny between SSC12 and HSA17.

Reverse or bidirectional Zoo-FISH suggests that synteny between porcine chromosome 12 (SSC12) and human chromosome 17 (HSA17) is completely conserved. The construction of a high-resolution radiation hybrid (RH) map for SSC12 provides a unique opportunity to determine whether chromosomal synteny is reflected at the molecular level by comparative gene mapping of SSC12 and HSA17. We report an initial, high-resolution RH map of SSC12 on the 12,000-rad IMNpRH2 panel using CarthaGene software. This map contains a total of 320 markers, including 20 microsatellites and 300 ESTs/genes, covering approximately 4836.9 cR12,000. The markers were ordered in 16 linkage groups at LOD 6.0 using framework markers previously mapped on the IMpRH7000-rad SSC12 and porcine genetic maps. Ten linkage groups ordered more than 10 markers, with the largest containing 101 STSs. The resolution of the current RH map is approximately 15.3 kb/cR on SSC12, a significant improvement over the second-generation EST SSC12 RH7000-rad map of 103 ESTs and 15 framework markers covering approximately 2287.2 cR7000. Compared to HSA17, six distinct segments were identified, revealing macro-rearrangements within the apparently complete synteny between SSC12 and HSA17. Further analysis of the order of 245 genes (ESTs) on HSA17 and SSC12 also revealed several micro-rearrangements within a synteny segment. A high-resolution SSC12 RH12,000-rad map will be useful in fine-mapping QTL and as a scaffold for sequencing this chromosome.

Animals↗

PubMed1999

Rapid and precise genotyping of porcine microsatellites.

Microsatellites are useful markers for genetic mapping and linkage analysis because they are highly polymorphic, abundant in genomes and relatively easily scored with polymerase chain reaction (PCR). A rapid genotyping system for microsatellites was developed, which included multiplex PCRs, multiple use of Hydrolink gels, automated fluorescent detection of fragments on an A.L.F. DNA sequencer, automatic assignment of alleles to each locus and verification of genotypes with a self-developed computer program "Fragtest". Eight multiplex PCRs have been developed to genotype 29 microsatellites for genetic and quantitative trait loci (QTL) mapping on pig chromosomes 6, 7, 12 and 13. Three to six microsatellites could be amplified in one multiplex PCR. Each multiplex reaction required only different concentrations of each pair of primers and a low concentration of dNTP (100 microM). A dNTP concentration of 100 microM proved to be optimal for the coamplification of microsatellites under the concentration of 1.5 mM MgCl2. Using four internal size standards added in each sample, the 5% Hydrolink gel could subsequently be used up to five times (total running time of 500 min) on the A.L.F. automated sequencer without significant loss of resolution and precision of fragment length analysis. Automatic assignment of alleles on each locus using "Fragtest" significantly increased the efficiency and precision of the genotyping. This system is thus a rapid, cheap, and highly discriminating genotyping system.

Animals↗

PubMed2003

Recent advances in human quantitative-trait-locus mapping: comparison of methods for discordant sibling pairs.

Extreme discordant sibling pairs (EDSPs) are theoretically powerful for the mapping of quantitative-trait loci (QTLs) in humans. EDSPs have not been used much in practice, however, because of the need to screen very large populations to find enough pairs that are extreme and discordant. Given appropriate statistical methods, another alternative is to use moderately discordant sibling pairs (MDSPs)--pairs that are discordant but not at the far extremes of the distribution. Such pairs can be powerful yet far easier to collect than extreme discordant pairs. Recent work on statistical methods for QTL mapping in humans has included a number of methods that, though not developed specifically for discordant pairs, may well be powerful for MDSPs and possibly even EDSPs. In the present article, we survey the new statistics and discuss their applicability to discordant pairs. We then use simulation to study the type I error and the power of various statistics for EDSPs and for MDSPs. We conclude that the best statistic(s) for discordant pairs (moderate or extreme) is (are) to be found among the new statistics. We suggest that the new statistics are appropriate for many other designs as well-and that, in fact, they open the way for the exploration of entirely novel designs.

Genetics, Population↗

PubMed2002

Mapping of quantitative trait loci affecting quality and production traits in egg layers.

A mapping population segregating for egg quality traits was created by a line cross between two egg layer lines and screened by a genome scan. The F2 generation consisted of 307 hens, which were scored for egg quality and production traits. The mapping population was genotyped for 99 microsatellite loci, spanning nine macrochromosomes and five small linkage groups. The linkage maps were used in mapping QTL affecting 14 traits, by using multiple markers and a least-squares approach. We detected 14 genomewide significant and six suggestive QTL that were located on chromosomes 2, 3, 4, 5, and, 8 and sex chromosome Z. A significant QTL affecting egg white thinning was found on chromosome 2. For eggshell strength, a significant QTL was found on chromosome Z. For production traits, the most interesting area was on chromosome 4, where highly significant QTL effects were detected for BW, egg weight, and feed intake in the same area. The most significant QTL explains 25.8% of the phenotypic variance in F2 of body weight. An area affecting the age at first egg, egg weight, and the number of eggs was located on chromosome Z.

Animals↗

PubMed2006

Chromosomal loci that influence oral nicotine consumption in C57BL/6J x C3H/HeJ F2 intercross mice.

Several studies have demonstrated that there are genetic influences on free-choice oral nicotine consumption in mice. In order to establish the genetic architecture that underlies individual differences in free-choice nicotine consumption, quantitative trait loci (QTL) mapping was used to identify chromosomal regions that influence free-choice nicotine consumption in male and female F(2) mice derived from a cross between C57BL/6J and C3H/HeJ mice. These two mouse strains were chosen not only because they differ significantly for oral nicotine consumption, but also because they are at or near phenotypic extremes for all measures of nicotine sensitivity that have been reported. A four-bottle choice paradigm was used to assess nicotine consumption over an 8-day period. The four bottles contained water or water supplemented with 25, 50 or 100 microg/ml of nicotine base. Using micrograms of nicotine consumed per milliliter of total fluid consumed per day as the nicotine consumption phenotype, four significant QTL were identified. The QTL with the largest LOD score was located on distal chromosome 1 (peak LOD score = 15.7). Other chromosomes with significant QTL include central chromosome 4 (peak LOD score = 4.1), proximal chromosome 7 (peak LOD score = 6.1) and distal chromosome 15 (peak LOD score = 4.8). These four QTL appear to be responsible for up to 62% of the phenotypic variance in oral nicotine consumption.

Administration, Oral↗

PubMed1998

Provisional mapping of quantitative trait loci for chronic ethanol withdrawal severity in BXD recombinant inbred mice.

Male mice from C57BL/6J (B6), DBA/2J (D2) and their 25 recombinant inbred (RI) strains were exposed to ethanol (EtOH) vapor (3.0-9.0 mg EtOH/liter of air) for 72 hr. Mice were selected such that each strain averaged 1.34 to 1.59 mg of EtOH/ml of blood on withdrawal. Control groups and EtOH-exposed groups were tested hourly for handling-induced convulsions (HIC) for 10 hr and at hr 24 and 25. Strain withdrawal severity was indexed as the area under the 25-hr HIC curve for the EtOH group minus that strain's equivalent value for the control group. Genome-wide quantitative trait locus (QTL) analyses correlating strain means with allelic status at > 1500 markers identified 10 chromosomal regions at P < .01. These provisionally identified QTLs were on chromosomes 1 (2 QTLs), 3, 9 (2 QTLs), 10, 12, 13, 15 and 18. Multiple regression analysis using the four most influential QTLs revealed that these loci controlled 86% of the genetic variance. A QTL mapped to distal chromosome 1 (P < .001) is in the same region as one previously definitively mapped for acute alcohol withdrawal, as well as one mapped for acute pentobarbital withdrawal. Several of the QTLs map near potential candidate genes. These provisional linkages will now be confirmed or rejected using additional genetically segregating populations.

Animals↗

PubMed2002

Mapping baroreceptor function to genome: a mathematical modeling approach.

To gain information about the genetic basis of a complex disease such as hypertension, blood pressure averages are often obtained and used as phenotypes in genetic mapping studies. In contrast, direct measurements of physiological regulatory mechanisms are not often obtained, due in large part to the time and expense required. As a result, little information about the genetic basis of physiological controlling mechanisms is available. Such information is important for disease diagnosis and treatment. In this article, we use a mathematical model of blood pressure to derive phenotypes related to the baroreceptor reflex, a short-term controller of blood pressure. The phenotypes are then used in a quantitative trait loci (QTL) mapping study to identify a potential genetic basis of this controller.

Animals↗

PubMed2004

Identification and fine mapping of quantitative trait loci for backfat on bovine chromosomes 2, 5, 6, 19, 21, and 23 in a commercial line of Bos taurus.

Backfat thickness is one of the major quantitative traits that affects carcass quality in beef cattle. In this study, we identified and fine-mapped QTL for backfat EBV on bovine chromosomes 2, 5, 6, 19, 21, and 23 using an identical-by-descent haplotype-sharing analysis in a commercial line of Bos taurus. Eleven haplotypes were found to have significant associations with backfat EBV at the comparison-wise P-value threshold, and one at the chromosome-wise P-value threshold on bovine chromosomes 5, 6, 19, 21, and 23. On average, the 12 significant haplotypes had an effect of 0.62 SD on backfat EBV, ranging from 0.38 SD to 1.33 SD. The 12 significant haplotypes spanned nine chromosomal regions, one on chromosome 5 (65.4 to 70.0 cM), three on 6 (8.2 to 11.8 cM, 63.6 to 68.1 cM, and 81.5 to 83.0 cM), three on 19 (4.8 to 15.9 cM, 39.4 to 46.5 cM, and 65.7 to 99.5 cM), one on 21 (46.1 to 53.1 cM), and one on 23 (45.1 to 50.9 cM). Among the nine chromosomal regions, six were new QTL regions and three showed remarkable agreement with QTL regions that were previously reported. Eight of the nine QTL regions were localized to less than or close to 10 cM in genetic distance. The results provide a useful reference for further positional candidate gene research and marker-assisted selection for backfat.

Adipose Tissue↗

PubMed2004

Simultaneous mapping of epistatic QTL in chickens reveals clusters of QTL pairs with similar genetic effects on growth.

We used simultaneous mapping of interacting quantitative trait locus (QTL) pairs to study various growth traits in a chicken F2 intercross. The method was shown to increase the number of detected QTLs by 30 % compared with a traditional method detecting QTLs by their marginal genetic effects. Epistasis was shown to be an important contributor to the genetic variance of growth, with the largest impact on early growth (before 6 weeks of age). There is also evidence for a discrete set of interacting loci involved in early growth, supporting the previous findings of different genetic regulation of early and late growth in chicken. The genotype-phenotype relationship was evaluated for all interacting QTL pairs and 17 of the 21 evaluated QTL pairs could be assigned to one of four clusters in which the pairs in a cluster have very similar genetic effects on growth. The genetic effects of the pairs indicate commonly occurring dominance-by-dominance, heterosis and multiplicative interactions. The results from this study clearly illustrate the increase in power obtained by using this novel method for simultaneous detection of epistatic QTL, and also how visualization of genotype-phenotype relationships for epistatic QTL pairs provides new insights to biological mechanisms underlying complex traits.

Algorithms↗

PubMed2006

Effects of zinc deficiency on rice growth and genetic factors contributing to tolerance.

Zinc (Zn) deficiency is the most widespread micronutrient disorder in rice (Oryza sativa), but efforts to develop cultivars with improved tolerance have been hampered by insufficient understanding of genetic factors contributing to tolerance. The objective of this paper was to examine alternative evaluation methods and to identify the most informative traits that would provide realistic information for rice breeders and to map quantitative trait loci (QTLs) associated with tolerance. Screening experiments in low-Zn nutrient solution and in a Zn-deficient field did not produce similar tolerance rankings in a set of segregating lines, which suggested that rhizosphere effects were of greater importance for lowland rice than internal Zn efficiency. The most severe symptom in the field was high plant mortality. The occurrence of leaf bronzing, usually regarded as indicative of susceptibility, did not necessarily concur with high plant mortality, which implied that both were under independent genetic control. The QTL mapping experiment conducted in the field with a population derived from a cross of IR74 (intolerant) with Jalmagna (tolerant) largely confirmed this. Four QTLs associated with plant mortality were detected, and only one of those colocalized with one of the four QTLs detected for leaf bronzing. The two most influential QTLs for plant mortality were detected on chromosomes 2 and 12. They explained 16.6% and 24.2% of the variation, and alleles of the tolerant donor parent Jalmagna reduced mortality by 16.6% and 14.8%, respectively. QTLs for plant mortality acted in a purely additive manner, whereas digenic epistatic interactions were important for leaf bronzing.

Gene Expression Regulation, Plant↗

PubMedDate not supplied

Quantitative trait loci influencing honeybee alarm pheromone levels.

Quantitative trait loci (QTL) mapping procedures were used to identify loci that influence the levels of alarm pheromones found in the stinging apparatus of worker honeybees. An F1 queen was produced from a cross between a queen of European origin and a drone descended from an African subspecies. Haploid drones from the hybrid queen were individually backcrossed to European queens to produce 172 colonies. Samples of stings were taken from backcross workers of these colonies. Alarm pheromone levels were determined by gas chromatography. RAPD markers were scored from the haploid drone fathers of these colonies. The multiple-QTL model (MQM) of MapQTL was used to identify QTLs that influence the levels of four alarm pheromone components. Seven independent, potential QTLs were identified with LOD scores greater than two, and one at LOD 1.88. We identified one QTL for n-decyl acetate, three for n-octanol, four for isopentyl acetate, and one for hexyl acetate. One region of linkage group XI shows a strong influence on body size and the levels of three alarm pheromone components. This locus explained 40% of the variance for the amount of n-decyl acetate (LOD 6.57). In general, the QTLs influencing alarm pheromone levels were independent of previously identified loci that influenced the stinging behavior of these colonies. The only exception was a potential locus influencing levels of n-octanol, which was inversely correlated with stinging behavior.

1-Octanol↗

PubMed2001

[Genetic analysis of important growth trait based on F-2 resource population in chicken].

A three-generation of chicken population is being constructed for mapping multi-economical trait loci where three extremely divergent breeds, including a broiler breed(A), a layer breed(B) and white-silk chicken(C) were employed for reciprocal cross. Four cross combinations of A Male x C Female, C Male x A Female; B Male x C Female, C Male x B Female were performed with 277 individuals in total parental population. According to the statistic analysis for growth trait, difference between parental lines is significant, F2 generation attains great variation. Correlations among body weight and daily gain traits are significant and relative coefficient are moderate or high. The number at QTL loci is expected to be no more than 10, and based on the theoretical computation the sample size of this resource population is sufficient for QTL mapping.

Animals↗

PubMed2000

Identification of two chromosomal loci determining glucose intolerance in a C57BL/6 mouse strain.

BACKGROUND AND PURPOSE: Our objective was to map the genes responsible for poor glucose tolerance in a C57BL/6 (B6) mouse model, which provides a human model of non-insulin-dependent diabetes mellitus. Insulin secretion was found to be significantly lower in B6 than in C3H/He (C3H) mice (analysis of variance, P < 0.05) at 10, 20, and 30 minutes during the intraperitoneal glucose tolerance test (IPGTT: 1.5 g glucose/kg of body weight). METHODS: Mean 30-minute blood glucose values during IPGTT at 8, 9, and 10 weeks of age were used as a surrogate for glucose tolerance. The primers of 87 genetic microsatellite markers (14.9 +/- 6.2 cM apart) genome-wide quantitative trait linkage (QTL) analysis in F2 and F3 mice with the highest and lowest (n = 15 for each extreme) 30-minute blood glucose values were used. RESULTS: Genome-wide QTL analysis confirmed the locus (D2Mit48) on chromosome 2, with a LOD score of 8.3, and the locus (D13Mit48) on chromosome 13, with a LOD score of 4.2 in F3. Direct sequencing of candidate genes, proprotein convertase-2 (PC2) on chromosome 2 and proprotein convertase-1/3 (PC1/PC3) on chromosome 13, failed to reveal a mutation or polymorphism specific to B6 mice. CONCLUSIONS: Use of QTL mapping revealed two loci associated with poor glucose tolerance of B6.

Animals↗