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PubMed2000

An integrated rat genome map based on genetic and cytogenetic data.

In this study we combined three major rat genome maps, by adding 66 markers to the Kyoto Laboratory Animal Science map (KLAS map), and constructed an integrated map. The resultant integrated map consists of 5,682 redundant markers, spanning a genetic length of 2,028 cM. Eighty genetic markers were anchored to the cytogenetic map, fixing all the genetic maps in the physically correct orientation. This map encapsulates the progress in rat mapping studies in past years and offers useful information for QTL analysis. The map figures are available at http:/(/)www.anim.med.kyoto-u.ac.jp/.

Animals↗
PubMed2002

On the use of double haploids for detecting QTL in outbred populations.

The power to detect quantitative trait loci (QTL) using the double haploid (DH), full-sib (FS) and hierarchical (HI) designs implemented in outbred fish populations was assessed for interval mapping using deterministic methods. The predictions were tested using simulation. The DH design was most efficient for the range of designs and parameters considered and was most beneficial when the FS design was not very powerful. The difference between the design was largest for a low amount of residual genetic variation. Accounting for an increase of the environmental variance due to the genetic constitution of the double haploid progeny changed the magnitude of the power, but the ranking of the designs remained the same. As large full sib family sizes can be obtained in fish, the practical value of HI designs as a strategy for increasing the power of QTL mapping experiments is limited when compared with the FS design. Overall, the results suggested that the DH design could be a very useful tool for QTL mapping in fish, and of particular importance when the effect of the QTL is low and the residual genetic variation from other chromosomes can be controlled by using multiple markers.

Animals↗
PubMed2006

The genetic basis of prezygotic reproductive isolation between Drosophila santomea and D. yakuba due to mating preference.

Sexual isolating mechanisms that act before fertilization are often considered the most important genetic barriers leading to speciation in animals. While progress has been made toward understanding the genetic basis of the postzygotic isolating mechanisms of hybrid sterility and inviability, little is known about the genetic basis of prezygotic sexual isolation. Here, we map quantitative trait loci (QTL) contributing to prezygotic reproductive isolation between the sibling species Drosophila santomea and D. yakuba. We mapped at least three QTL affecting discrimination of D. santomea females against D. yakuba males: one X-linked and one autosomal QTL affected the likelihood of copulation, and a second X chromosome QTL affected copulation latency. Three autosomal QTL also affected mating success of D. yakuba males with D. santomea. No epistasis was detected between QTL affecting sexual isolation. The QTL do not overlap between males and females and are not disproportionately concentrated on the X chromosome. There was some overlap in map locations of QTL affecting sexual isolation between D. santomea and D. yakuba with QTL affecting sexual isolation between D. simulans and D. mauritiana and with QTL affecting differences in pigmentation between D. santomea and D. yakuba. Future high-resolution mapping and, ultimately, positional cloning, will reveal whether these traits do indeed have a common genetic basis.

Animals↗
PubMed2001

Finding the molecular basis of quantitative traits: successes and pitfalls.

Understanding the molecular basis of quantitative genetic variation is a principal goal for biomedicine. Although the complex genetic architecture of quantitative traits has so far largely frustrated attempts to identify genes in humans by standard linkage methodologies, quantitative trait loci (QTL) have been mapped in plants, insects and rodents. However, identifying the molecular bases of QTL remains a challenge. Here, we discuss why this is and how new experimental strategies and analytical techniques, combined with the fruits of the genome projects, are beginning to identify candidate genes for QTL studies in several model organisms.

Animals↗
PubMed2003

Haplotype sharing refines the location of an imprinted quantitative trait locus with major effect on muscle mass to a 250-kb chromosome segment containing the porcine IGF2 gene.

We herein describe the fine mapping of an imprinted QTL with major effect on muscle mass that was previously assigned to distal SSC2p in the pig. The proposed approach exploits linkage disequilibrium in combination with QTL genotyping by marker-assisted segregation analysis. By identifying a haplotype shared by all "Q" chromosomes, we map the QTL to an approximately 250-kb chromosome segment containing INS and IGF2 as the only known paternally expressed genes. This considerably reinforces the candidacy of these genes, justifying their detailed analysis.

Animals↗
PubMed1992

Mapping quantitative trait loci for behavioral traits in the mouse.

After many years of studying various behavioral characters in the mouse, it is clear that most are heritable and are specified by complexes of genes or quantitative trait loci (QTLs). In order to attain a more complete understanding of the genetic causes of individual differences in behavior, the mechanism of action of these QTLs must be elucidated. The most straightforward approach to determining the mechanism of action of a particular QTL is to identify and molecularly clone the gene; this can be done by positional cloning, which depends on precise knowledge of the genetic map position. As the genetic data base for the mouse genome continues to develop, such strategies will become increasingly easy to perform. Here we suggest a multistage strategy for QTL mapping using recombinant-inbred strains of mice: (1) characterize genomic DNA from parental strains originally used to generate the RI strains; (2) characterize the RI strains for a quantitative character and for DNA markers that differ in the parental strains; and (3) assess the quantitative character in F2 mice derived from crosses between the parental strains, then determine the genotypes of extreme F2 mice for markers that account for at least 5% of the additive genetic variance. Data from these F2 crosses can be used to test hypotheses from the analysis of RI strains, i.e., that a QTL maps to a particular region. Using data from the mouse genome data base, this strategy should allow the molecular identification of the gene based on a candidate-gene approach. We illustrate the approach with examples from our work in mapping QTLs specifying neural sensitivity to the anesthetic effects of ethanol.

Alcoholism↗
PubMed2004

Genetic analysis of "metabolic syndrome" in the spontaneously hypertensive rat.

In the current review, we summarize results of genetic analyses of "metabolic syndrome" in the spontaneously hypertensive rat (SHR). These results include (1) linkage analyses in the HXB/BXH recombinant inbred (RI) strains derived from SHR and Brown Norway (BN-Lx) strains which revealed quantitative trait loci (QTL) for hemodynamic and metabolic traits on several chromosomes, (2) genetic isolation of these putative QTL within differential chromosome segments of SHR.BN congenic strains, (3) detailed mapping of these QTL within limited chromosome segments of SHR.BN congenic sublines, (4) sequencing of selected positional candidate genes which revealed important mutations in the Cd36 and Srebp1 SHR genes, (5) functional tests of these candidate genes in SHR transgenic lines, and (6) integrated gene expression profiling and linkage mapping in RI strains which will be used to identify co-regulated genes and to determine co-segregation of transcriptional profiles with physiological and pathophysiological phenotypes.

Animals↗
PubMed2003

High-resolution joint linkage disequilibrium and linkage mapping of quantitative trait loci based on sibship data.

This paper proposes variance component models for high resolution joint linkage disequilibrium (LD) and linkage mapping of quantitative trait loci (QTL) based on sibship data; this can include population data if independent individuals are treated as single sibships. One application of these models is late onset complex disease gene mapping, when parental data are not available. The models simultaneously incorporate both LD and linkage information. The LD information is contained in mean coefficients of sibship data. The linkage information is contained in the variance-covariance matrices of trait values for sibships with at least two siblings. We derive formulas for calculating the probability of sharing two trait alleles identical by descent (IBD) for sibpairs in interval mapping of QTL; this is the coefficient of dominant variance of the trait covariance of sibpairs on major QTL. To investigate the performance of the formulas, we calculate the numerical values via the formulas and get satisfactory approximations. We compare the power and sample sizes for both LD and linkage mapping. By simulation and theoretical analysis, we compare the results with those of Fulker and Abecasis "AbAw" approach. It is well known that the resolution of linkage analysis can be low for complex disease gene mapping. LD mapping, on the other hand, can increase mapping precision and is useful in high resolution mapping. Linkage analysis is less sensitive to population subdivisions and admixtures. The level of LD is sensitive to population stratification which may easily lead to spurious association. Performing a joint analysis of LD and linkage mapping can help to overcome the limits of both approaches. Moreover, the advantages of the two complementary strategies can be utilized maximally. In practice, linkage analysis may be performed using pedigree data to identify suggestive linkage between markers and trait loci based on a sparse marker map. In the presence of linkage, joint LD and linkage mapping can be carried out to do fine gene mapping based on a dense genetic map using both pedigree and population data. Population and pedigree data of any type can be combined to perform a joint analysis of high resolution LD and linkage mapping of QTL by generalizing the method.

Alleles↗
PubMed1999

Fine-mapping of quantitative trait loci by identity by descent in outbred populations: application to milk production in dairy cattle.

We previously mapped a quantitative trait locus (QTL) affecting milk production to bovine chromosome 14. To refine the map position of this QTL, we have increased the density of the genetic map of BTA14q11-16 by addition of nine microsatellites and three single nucleotide polymorphisms. Fine-mapping of the QTL was accomplished by a two-tiered approach. In the first phase, we identified seven sires heterozygous "Qq" for the QTL by marker-assisted segregation analysis in a Holstein-Friesian pedigree comprising 1,158 individuals. In a second phase, we genotyped the seven selected sires for the newly developed high-density marker map and searched for a shared haplotype flanking an hypothetical, identical-by-descent QTL allele with large substitution effect. The seven chromosomes increasing milk fat percentage were indeed shown to carry a common chromosome segment with an estimated size of 5 cM predicted to contain the studied QTL. The same haplotype was shown to be associated with increased fat percentage in the general population as well, providing additional support in favor of the location of the QTL within the corresponding interval.

Animals↗
PubMed2006

A comparative linkage map of oilseed rape and its use for QTL analysis of seed oil and erucic acid content.

We have developed a new DH mapping population for oilseed rape, named TNDH, using genetically and phenotypically diverse parental lines. We used the population in the construction of a high stringency genetic linkage map, consisting of 277 loci, for use in quantitative genetic analysis. A proportion of the markers had been used previously in the construction of linkage maps for Brassica species, thus permitting the alignment of maps. The map includes 68 newly developed Sequence Tagged Site (STS) markers targeted to the homologues of defined genes of A. thaliana. The use of these markers permits the alignment of our linkage map with the A. thaliana genome sequence. An additional 74 loci (31 newly developed STS markers and 43 loci defined by SSR and RFLP markers that had previously been used in published linkage maps) were added to the map. These markers increased the resolution of alignment of the newly constructed linkage map with existing Brassica linkage maps and the A. thaliana genome sequence. We conducted field trials with the TNDH population at two sites, and over 2 years, and identified reproducible QTL for seed oil content and erucic acid content. The results provide new insights into the genetic control of seed oil and erucic acid content in oilseed rape, and demonstrate the utility of the linkage map and population.

Brassica napus↗
PubMed2006

Fine mapping of the qCTS12 locus, a major QTL for seedling cold tolerance in rice.

The temperate japonica rice cultivar M202 is the predominant variety grown in California due to its tolerance to low temperature stress, good grain quality and high yield. Earlier analysis of a recombinant inbred line mapping population derived from a cross between M202 and IR50, an indica cultivar that is highly sensitive to cold stress, resulted in the identification of a number of QTL conferring tolerance to cold-induced wilting and necrosis. A major QTL, qCTS12, located on the short arm of chromosome 12, contributes over 40% of the phenotypic variance. To identify the gene(s) underlying qCTS12, we have undertaken the fine mapping of this locus. Saturating the short arm of chromosome 12 with microsatellite markers revealed that qCTS12 is closest to RM7003. Using RM5746 and RM3103, which are immediately outside of RM7003, we screened 1,954 F(5)-F(10) lines to find recombinants in the qCTS12 region. Additional microsatellite markers were identified from publicly available genomic sequence and used to fine map qCTS12 to a region of approximately 87 kb located on the BAC clone OSJNBb0071I17. This region contains ten open reading frames (ORFs) consisting of five hypothetical and expressed proteins of unknown function, a transposon protein, a putative NBS-LRR disease resistance protein, two zeta class glutathione S-transferases (OsGSTZ1 and OsGSTZ2), and a DAHP synthetase. Further fine mapping with markers developed from the ORFs delimited the QTL to a region of about 55 kb. The most likely candidates for the gene(s) underlying qCTS12 are OsGSTZ1 and OsGSTZ2.

Chromosome Mapping↗
PubMed2005

Novel loci controlling lymphocyte proliferative response to cytokines and their clustering with loci controlling autoimmune reactions, macrophage function and lung tumor susceptibility.

Novel genotyping and statistical tools have led to mapping of numerous QTL loci for multigenic traits that previously could not be detected. The relationships of these QTL families to other QTL families and the functional specialization of their members can now be studied. We have mapped a number of loci controlling activation of T lymphocytes by mitogens and cytokines and their capacity to produce cytokines. In (O20xOcB-9)F2 hybrids, we mapped 3 novel loci controlling proliferative T-cell response to cytokines IL-2 and IL-4 (Cinda3) or IL-4 only (Cinda4 and Cinda5). OcB-9 allele at Cinda3 controls a higher response than the O20 allele to both IL-2 and IL-4, and OcB-9 alleles of Cinda4 and Cinda5 control higher response to IL-4. These novel Cinda loci and the previously mapped Cinda1 locus seem to be located in genomic regions together with other QTL families: macrophage function loci Marif1 and Marif2, proteoglycan-induced arthritis loci Pgia4, Pgia7 and Pgia12 and lung tumor susceptibility loci Sluc1, Sluc4, Sluc6 and Sluc20. The possible relevance of these QTL associations in several different sites of the genome for the immune response, inflammation and tumorigenesis has to be elucidated.

Animals↗
PubMed2005

Gene expression profiling of the left ventricles in a rat model of intrinsic aerobic running capacity.

Our previous work found DA rats superior for intrinsic aerobic running capacity (ARC) and several cardiac function indexes compared with Copenhagen (COP) rats, and identified ARC quantitative trait loci (QTLs) on rat chromosomes 16 (RNO16) and 3 (RNO3). The purpose of this study was to use these inbred rat strains as a genetic substrate for differential cardiac gene expression to identify candidate genes for the observed ARC QTLs. RNA expression was examined globally in left ventricles of 15-wk-old DA, F1(COP x DA), and COP rats using microarrays to identify candidate genes for ARC QTLs. We identified 199 differentially expressed probe sets and determined their chromosomal locations. Six differentially expressed genes and expressed sequence tags (ESTs) mapped near ARC QTL regions, including PDZ and LIM domain 3 (Pdlim3). Differential expression of these genes/ESTs was confirmed by quantitative RT-PCR. The Ingenuity Pathways program identified 13 biological networks containing 50 (of the 199) differentially expressed probe sets and 85 additional genes. Four of these eighty-five genes mapped near ARC QTL-containing regions, including insulin receptor substrate 2 (Irs2) and acyl-CoA synthetase long-chain family member 1 (Acsl1). Most (148/199) differentially expressed probe sets showed left ventricular expression patterns consistent with the alleles exerting additive effects, i.e., F1(COP x DA) rat RNA expression was intermediate between DA and COP rats. This study identified several potential ARC QTL candidate genes and molecular networks, one of them related to energy expenditure involving Pik3r1 mRNA expression that may, in part, explain the observed strain differences in ARC and cardiac performance.

Animals↗
PubMed2000

Deficiency mapping of quantitative trait loci affecting longevity in Drosophila melanogaster.

In a previous study, sex-specific quantitative trait loci (QTL) affecting adult longevity were mapped by linkage to polymorphic roo transposable element markers, in a population of recombinant inbred lines derived from the Oregon and 2b strains of Drosophila melanogaster. Two life span QTL were each located on chromosomes 2 and 3, within sections 33E-46C and 65D-85F on the cytological map, respectively. We used quantitative deficiency complementation mapping to further resolve the locations of life span QTL within these regions. The Oregon and 2b strains were each crossed to 47 deficiencies spanning cytological regions 32F-44E and 64C-76B, and quantitative failure of the QTL alleles to complement the deficiencies was assessed. We initially detected a minimum of five and four QTL in the chromosome 2 and 3 regions, respectively, illustrating that multiple linked factors contribute to each QTL detected by recombination mapping. The QTL locations inferred from deficiency mapping did not generally correspond to those of candidate genes affecting oxidative and thermal stress or glucose metabolism. The chromosome 2 QTL in the 35B-E region was further resolved to a minimum of three tightly linked QTL, containing six genetically defined loci, 24 genes, and predicted genes that are positional candidates corresponding to life span QTL. This region was also associated with quantitative variation in life span in a sample of 10 genotypes collected from nature. Quantitative deficiency complementation is an efficient method for fine-scale QTL mapping in Drosophila and can be further improved by controlling the background genotype of the strains to be tested.

Animals↗
PubMed2005

Mapping quantitative trait loci in multiple populations of Arabidopsis thaliana identifies natural allelic variation for trichome density.

The majority of biological traits are genetically complex. Mapping the quantitative trait loci (QTL) that determine these phenotypes is a powerful means for estimating many parameters of the genetic architecture for a trait and potentially identifying the genes responsible for natural variation. Typically, such experiments are conducted in a single mapping population and, therefore, have only the potential to reveal genomic regions that are polymorphic between the progenitors of the population. What remains unclear is how well the QTL identified in any one mapping experiment characterize the genetics that underlie natural variation in traits. Here we provide QTL mapping data for trichome density from four recombinant inbred mapping populations of Arabidopsis thaliana. By aligning the linkage maps for these four populations onto a common physical map, the results from each experiment were directly compared. Seven of the nine QTL identified are population specific while two were mapped in all four populations. Our results show that many lineage-specific alleles that either increase or decrease trichome density persist in natural populations and that most of this genetic variation is additive. More generally, these findings suggest that the use of multiple populations holds great promise for better understanding the genetic architecture of natural variation.

Arabidopsis↗
PubMed2003

Mapping quantitative trait loci underlying appearance quality of rice grains (Oryza sativa L.).

Ninety-eight backcross inbred lines (BILs) derived from a subspecific cross of Nipponbare (japonica)/Kasalath (indica)//Nipponbare and its genetic linkage map were used to identify quantitative trait locus (QTL) controlling rice appearance quality traits such as grain length (GL), grain width (GW), length-width ratio (LWR), percentage of grains with chalkiness (PGWC), square of chalky endosperm (SCE), degree of endosperm chalkiness (DEC) and grain endosperm transparency (GET) by composite interval mapping over two years. A total of 33 QTLs were identified to be significant in at least one year for seven traits and the number of QTL for each trait ranged from four to seven, showing that appearance quality of rice grains were controlled by multigenes. The phenotypic variation explained by individual QTLs ranged from 6.2% to 15.2% for GL, 8.3% to 32.5% for GW, 6.8% to 19.8% for LWR, 6.4% to 28.5% for PGWC, 6.1% to 16.9% for SCE, 9.3% to 17.2% for DEC, and 5.6% to 25.2% for GET. The distribution of QTL were characterized by clustering with the intervals of C1488-C563 on chromosome 3, R830-R3166 and R1436-R2289 on chromosome 5, R2147-R2171 on chromosome 6 each harboring over 3 QTLs. The QTL-by-environment interactions were observed by comparing QTL mapping of the same population grown in 2 consecutive years, but were trait dependent. The QTL for GL and LWR were rather stable across years while that for PGWC, SCE and DEC were very sensitive to environments.

Chromosome Mapping↗
PubMed2006

Genetic mapping of sulfur assimilation genes reveals a QTL for onion bulb pungency.

Onion exhibits wide genetic and environmental variation in bioactive organosulfur compounds that impart pungency and health benefits. A PCR-based molecular marker map that included candidate genes for sulfur assimilation was used to identify genomic regions affecting pungency in the cross 'W202A' x 'Texas Grano 438'. Linkage mapping revealed that genes encoding plastidic ferredoxin-sulfite reductase (SiR) and plastidic ATP sulfurylase (ATPS) are closely linked (1-2 cM) on chromosome 3. Inbred F(3) families derived from the F(2 )population used to construct the genetic map were grown in replicated trials in two environments and bulb pungency was evaluated as pyruvic acid or lachrymatory factor. Broad-sense heritability of pungency was estimated to be 0.78-0.80. QTL analysis revealed significant associations of both pungency and bulb soluble solids content with marker intervals on chromosomes 3 and 5, which have previously been reported to condition pleiotropic effects on bulb carbohydrate composition. Highly significant associations (LOD 3.7-8.7) were observed between ATPS and SiR Loci and bulb pungency but not with bulb solids content. This association was confirmed in two larger, independently derived F(2) families from the same cross. Single-locus models suggested that the partially dominant locus associated with these candidate genes controls 30-50% of genetic variation in pungency in these pedigrees. These markers may provide a practical means to select for lower pungency without correlated selection for lowered solids.

Base Sequence↗
PubMed2002

Mapping of quantitative trait loci for field resistance to Fusarium head blight in an European winter wheat.

Fusarium head blight (FHB) caused by Fusarium culmorum is an economically important disease of wheat that may cause serious yield and quality losses under favorable climate conditions. The development of disease-resistant cultivars is the most effective control strategy. Worldwide, there is heavy reliance on the resistance pool originating from Asian wheats, but excellent field resistance has also been observed among European winter wheats. The objective of this study was to map and characterize quantitative traits loci (QTL) of resistance to FHB among European winter wheats. A population of 194 recombinant inbred lines (RILs) was genotyped from a cross between two winter wheats Renan (resistant)/Récital (susceptible) with microsatellites, AFLP and RFLP markers. RILs were assessed under field conditions For 3 years in one location. Nine QTLs were detected, and together they explained 30-45% of the variance, depending on the year. Three of the QTLs were stable over the 3 years. One stable QTL, QFhs.inra.2b, was mapped to chromosome 2B and two QTLs QFhs.inra.5a2 and QFhs.inra5a3, to chromosome 5A; each of these QTLs explained 6.9-18.6% of the variance. Other QTLs were identified on chromosome 2A, 3A, 3B, 5D, and 6D, but these had a smaller effect on FHB resistance. One of the two QTLs on chromosome 5A was linked to gene B1 controlling the presence of awns. Overlapping QTLs for FHB resistance were those for plant height or/and flowering time. Our results confirm that wheat chromosomes 2A, 3A, 3B, and 5A carry FHB resistance genes, and new resistance factors were identified on chromosome arms 2BS and 5AL. Markers flanking these QTLs should be useful tools for combining the resistance to FHB of Asian and European wheats to increase the resistance level of cultivars.

Biometry↗