Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “QTL mapping”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,387 records · Page 77Linked to original sources

QTL for microstructural and biophysical muscle properties and body composition in pigs.

BACKGROUND: The proportion of muscle fibre types and their size affect muscularity as well as functional properties of the musculature and meat quality. We aimed to identify QTL for microstructural muscle properties including muscle fibre size, their numbers and fibre type proportions as well as biophysical parameters of meat quality and traits related to body composition, i.e. pH, conductivity, area of M. longissimus dorsi and lean meat content. A QTL scan was conducted in a porcine experimental population that is based on Duroc and Berlin Miniature Pig. RESULTS: Least square regression interval mapping revealed five significant and 42 suggestive QTL for traits related to muscle fibre composition under the line-cross model as well as eight significant and 40 suggestive QTL under the half-sib model. For traits related to body composition and biophysical parameters of meat quality five and twelve significant plus nine and 22 suggestive QTL were found under the line-cross and half-sib model, respectively. Regions with either significant QTL for muscle fibre traits or significant QTL for meat quality and muscularity or both were detected on SSC1, 2, 3, 4, 5, 13, 14, 15, and 16. QTL for microstructural properties explained a larger proportion of variance than did QTL for meat quality and body composition. CONCLUSION: Microstructural properties of pig muscle and meat quality are governed by genetic variation at many loci distributed throughout the genome. QTL analysis under both, the line-cross and half-sib model, allows detecting QTL in case of fixation or segregation of the QTL alleles among the founder populations and thus provide comprehensive insight into the genetic variation of the traits under investigation. Genomic regions affecting complex traits of muscularity and meat quality as well as microstructural properties might point to QTL that in first instance affect muscle fibre traits and by this in second instance meat quality. Disentangling complex traits in their constituent phenotypes might facilitate the identification of QTL and the elucidation of the pleiotropic nature of QTL effects.

Animals↗

Effect of polymorphism on expression of the neuropeptide Y gene in inbred alcohol-preferring and -nonpreferring rats.

Using animal models of alcoholism, previous studies suggest that neuropeptide Y (NPY) may be implicated in alcohol preference and consumption due to its role in the modulation of feeding and anxiety. Quantitative trait loci (QTL) analysis previously identified an interval on rat chromosome 4 that is highly associated with alcohol preference and consumption using an F2 population derived from inbred alcohol-preferring (iP) and -nonpreferring (iNP) rats. NPY mapped to the peak of this QTL region and was prioritized as a candidate gene for alcohol-seeking behavior in the iP and iNP rats. In order to identify a potential mechanism for reduced NPY protein levels documented in the iP rat, genetic and molecular components that influence NPY expression were analyzed between iP and iNP rats. Comparing the iP rat to the iNP rat, quantitative real-time polymerase chain reaction detected significantly decreased levels of NPY mRNA expression in the iP rat in the six brain regions tested: nucleus accumbens, frontal cortex, amygdala, hippocampus, caudate-putamen, and hypothalamus. In addition, the functional significance of three previously identified polymorphisms was assessed using in vitro expression analysis. The polymorphism defined by microsatellite marker D4Mit7 in iP rats reduced luciferase reporter gene expression in SK-N-SH neuroblastoma cells. These results suggest that differential expression of the NPY gene resulting from the D4mit7 marker polymorphism may contribute to reduced levels of NPY in discrete brain regions in the iP rats.

Alcohol Drinking↗

Discovery and mapping of wheat Ph1 suppressors.

Pairing between wheat (Triticum turgidum and T. aestivum) homeologous chromosomes is prevented by the expression of the Ph1 locus on the long arm of chromosome 5B. The genome of Aegilops speltoides suppresses Ph1 expression in wheat x Ae. speltoides hybrids. Suppressors with major effects were mapped as Mendelian loci on the long arms of Ae. speltoides chromosomes 3S and 7S. The chromosome 3S locus was designated Su1-Ph1 and the chromosome 7S locus was designated Su2-Ph1. A QTL with a minor effect was mapped on the short arm of chromosome 5S and was designated QPh.ucd-5S. The expression of Su1-Ph1 and Su2-Ph1 increased homeologous chromosome pairing in T. aestivum x Ae. speltoides hybrids by 8.4 and 5.8 chiasmata/cell, respectively. Su1-Ph1 was completely epistatic to Su2-Ph1, and the two genes acting together increased homeologous chromosome pairing in T. aestivum x Ae. speltoides hybrids to the same level as Su1-Ph1 acting alone. QPh.ucd-5S expression increased homeologous chromosome pairing by 1.6 chiasmata/cell in T. aestivum x Ae. speltoides hybrids and was additive to the expression of Su2-Ph1. It is hypothesized that the products of Su1-Ph1 and Su2-Ph1 affect pairing between homeologous chromosomes by regulating the expression of Ph1 but the product of QPh.ucd-5S may primarily regulate recombination between homologous chromosomes.

Chromosome Mapping↗

Right ventricular hypertrophy secondary to pulmonary hypertension is linked to rat chromosome 17: evaluation of cardiac ryanodine Ryr2 receptor as a candidate.

BACKGROUND: Fischer 344 (F344) rats are relatively resistant to hypoxia-induced right ventricular (RV) hypertrophy compared with the Wistar-Kyoto (WKY) strain. These 2 strains were used to examine the genetic basis for the differential response. METHODS AND RESULTS: Male F(2) offspring from an F344xWKY intercross were exposed to hypoxia (10% O(2)) for 3 weeks, and pulmonary artery pressure and cardiac chamber weights were measured. Genomic DNA was screened by use of polymorphic microsatellite markers across the whole genome (excluding the sex chromosomes). A quantitative trait locus (QTL) for RV weight was identified on rat chromosome 17 (lod score 6.5) that accounted for 22% of the total variance of RV weight in the F(2) population and was independent of pulmonary artery pressure. The peak was centered over marker D17Rat41, close to Chrm3, with a 1-lod support interval of 5 cM. Comparison of homologous regions in mice and humans suggested that Ryr2, the cardiac isoform of the ryanodine receptor, colocalizes with our QTL. A panel of somatic cell hybrids and fluorescence in situ hybridization mapped Ryr2 close to the gene Chrm3 within our QTL. [(3)H]Ryanodine binding to cardiac membranes from the parental strains showed a 21% reduction in B(max) in the WKY compared with the F344 strain, with no difference in K:(d). CONCLUSIONS: These data provide the first demonstration of a QTL linked to the RV response to hypoxia-induced pulmonary hypertension. The Ryr2 receptor gene lies within this QTL and merits further investigation as a candidate for this differential RV response.

Animals↗

Pleiotropic effects of the duplicate maize FLORICAULA/LEAFY genes zfl1 and zfl2 on traits under selection during maize domestication.

Phenotypic variation on which selection can act during evolution may be caused by variation in activity level of developmental regulatory genes. In many cases, however, such genes affect multiple traits. This situation can lead to co-evolution of traits, or evolutionary constraint if some pleiotropic effects are detrimental. Here, we present an analysis of quantitative traits associated with gene copy number of two important maize regulatory genes, the duplicate FLORICAULA/LEAFY orthologs zfl1 and zfl2. We found statistically significant associations between several quantitative traits and copy number of both zfl genes in several maize genetic backgrounds. Despite overlap in traits associated with these duplicate genes, zfl1 showed stronger associations with flowering time, while zfl2 associated more strongly with branching and inflorescence structure traits, suggesting some divergence of function. Since zfl2 associates with quantitative variation for ear rank and also maps near a quantitative trait locus (QTL) on chromosome 2 controlling ear rank differences between maize and teosinte, we tested whether zfl2 might have been involved in the evolution of this trait using a QTL complementation test. The results suggest that zfl2 activity is important for the QTL effect, supporting zfl2 as a candidate gene for a role in morphological evolution of maize.

Biological Evolution↗

Quantitative trait loci variation for growth and obesity between and within lines of pigs (Sus scrofa).

The hypothesis that quantitative trait loci (QTL) that explain variation between divergent populations also account for genetic variation within populations was tested using pig populations. Two regions of the porcine genome that had previously been reported to harbor QTL with allelic effects that differed between the modern pig and its wild-type ancestor and between the modern pig and a more distantly related population of Asian pigs were studied. QTL for growth and obesity traits were mapped using selectively genotyped half-sib families from five domesticated modern populations. Strong support was found for at least one QTL segregating in each population. For all five populations there was evidence of a segregating QTL affecting fatness in a region on chromosome 7. These findings confirm that QTL can be detected in highly selected commercial populations and are consistent with the hypothesis that the same chromosome locations that account for variation between populations also explain genetic variation within populations.

Alleles↗

Resistance to barley scald (Rhynchosporium secalis) in the Ethiopian donor lines 'Steudelli' and 'Jet', analyzed by partial least squares regression and interval mapping.

The resistance of barley (Hordeum vulgare L.) to Rhynchosporium secalis (scald) has been investigated in two crosses between the susceptible cv. 'Ingrid' and two resistant Ethiopian landraces, 'Steudelli' and 'Jet'. Doubled haploids were inoculated in replicated tests using two isolates of R. secalis, '4004' and 'WRS1872'. Expression of resistance differed widely between replicated tests. AFLP, SSR and RFLP markers were used to develop chromosome maps. Results have been analysed using partial least squares regression (PLSR) and interval mapping. In PLSR the major covariance structures or 'latent variables' between X (markers) and Y (isolates, tests) are modelled as principal components and their optimal number determined by cross-validation. In 'Steudelli' two QTL were detected, one on each of chromosomes 3H and 7H, in 4 out of 5 tests, while in 'Jet' only one (different) allele at the 3H locus was found. The validated R(2) varied between 11.0% and 64.9% in the replicated tests with '4004'.With isolate 'WRS1872' the 7H locus and another 3H locus were detected. By interval mapping the QTL detected were less stable and generally gave lower R(2) values than PLSR. PLSR does not depend on maps, but interval mapping based on values predicted by PLSR had R(2) around 90%. It is suggested that PLSR may be a useful tool in QTL analysis.

Chromosome Mapping↗

Circadian-associated rice pseudo response regulators (OsPRRs): insight into the control of flowering time.

A small family of plant proteins, designated PSEUDO RESPONSE REGULATORS (PRRs), is crucial for a better understanding of the molecular link between circadian rhythm and photoperiodic control of flowering time in the dicotyledonous model plant Arabidopsis thaliana. Recently, we showed that the monocotyledonous model plant Oryza sativa also has homologous members of the OsPRR family (Oryza sativa PRR). In the previous experiments with rice, we mainly characterized a japonica variety (Nipponbare). By employing an indica variety (Kasalath), in this study we further characterized OsPRRs with reference to the photoperiod sensitivity Hd (Heading date) QTL (quantitative trait loci) implicated in the control of flowering time in rice. The circadian-controlled and sequential expression profiles of the five OsPRR genes were observed not only for Nipponbare but also for Kasalath. Then each of these OsPRR genes was mapped on the rice chromosomes. Among these OsPRR genes, OsPRR37 was mapped very closely to Hd2-QTL, which was identified as the major locus that enhances the photoperiod sensitivity of flowering in Nipponbare. Furthermore, we found that Kasalath has a severe mutational lesion in the OsPRR37 coding sequence.

Chromosome Mapping↗

A genetic linkage map for tef [Eragrostis tef (Zucc.) Trotter].

Tef [Eragrostis tef (Zucc.) Trotter] is the major cereal crop in Ethiopia. Tef is an allotetraploid with a base chromosome number of 10 (2n = 4x = 40) and a genome size of 730 Mbp. Ninety-four F(9) recombinant inbred lines (RIL) derived from the interspecific cross, Eragrostis tef cv. Kaye Murri x Eragrostis pilosa (accession 30-5), were mapped using restriction fragment length polymorphisms (RFLP), simple sequence repeats derived from expressed sequence tags (EST-SSR), single nucleotide polymorphism/insertion and deletion (SNP/INDEL), intron fragment length polymorphism (IFLP) and inter-simple sequence repeat amplification (ISSR). A total of 156 loci from 121 markers was grouped into 21 linkage groups at LOD 4, and the map covered 2,081.5 cM with a mean density of 12.3 cM per locus. Three putative homoeologous groups were identified based on multi-locus markers. Sixteen percent of the loci deviated from normal segregation with a predominance of E. tef alleles, and a majority of the distorted loci were clustered on three linkage groups. This map will be useful for further genetic studies in tef including mapping of loci controlling quantitative traits (QTL), and comparative analysis with other cereal crops.

Chromosome Mapping↗

Genetic and environmental interactions determine seizure susceptibility in epileptic EL mice.

Gene identification has progressed rapidly for monogenic epilepsies, but complex gene-environmental interactions have hindered progress in gene identification for multifactorial epilepsies. We analyzed the role of environmental risk factors in the inheritance of multifactorial idiopathic generalized epilepsy in the EL mouse. Seizure susceptibility was evaluated in the EL (E) and seizure-resistant ABP/LeJ (A) parental mouse strains and in their AEF1 and AEF2 hybrid offspring using a handling-induced seizure test. The seizure test was administered in three environments (environments I, II and III) that differed with respect to the number of seizure tests administered (one test or four tests) and the age of the mice when tested (young or old). The inheritance of seizure susceptibility appeared dominant after repetitive seizure testing in young or old mice, but recessive after a single test in old mice. Heritability was high (0.67-0.77) in each environment. Significant quantitative trait loci (QTL) that were associated with environments I and III (repetitive testing) were found on chromosomes 2 and 9 and colocalized with previously mapped El2 and El4, respectively. The El2 QTL found in environment I associated only with female susceptibility. A novel QTL, El-N, for age-dependent predisposition to seizures was found on proximal chromosome 9 only in environment II. The findings indicate that environmental risk factors determine the genetic architecture of seizure susceptibility in EL mice and suggest that QTL for complex epilepsies should be defined in terms of the environment in which they are expressed.

Age Factors↗

Multiple genetic loci from CAST/EiJ chromosome 1 affect vBMD either positively or negatively in a C57BL/6J background.

UNLABELLED: Skeletal phenotype analyses of 10 B6.CAST-1 congenic sublines of mice have revealed evidence for the presence of three closely linked QTLs in Chr 1 that influence femoral vBMD both positively and negatively. INTRODUCTION: BMD is an important component of bone strength and a recognized predictor of risk for osteoporotic fracture. Our goal in this study was to fine map the chromosomal location of volumetric BMD (vBMD) quantitative trait loci (QTLs) in mouse distal chromosome 1 (Chr 1). MATERIALS AND METHODS: After several backcrosses of the B6.CAST-1T congenic strain, which carried the initial BMD QTL in Chr 1 with B6 mice, the N10F1 generation mice were intercrossed to obtain recombinations that yielded different regions of the QTL. Thirty-eight polymorphic markers were used to fine map the initial 1T QTL region (100-192 Mb). Different skeletal parameters were compared between the 10 sublines and B6 female mice at 16 weeks of age. A t-test was used to determine the significant difference between sublines and B6 control mice, whereas one-way ANOVA and posthoc (Newman-Keuls) tests were performed to compare the phenotype between the sublines. RESULTS: Significantly higher femur vBMD was found in sublines that carried cast alleles from 100 to 169 and 172 to 185 Mb of the centromere compared with the B6 control mice (10-12%, p < 0.001). However, sublines that carried cast alleles from 185 to 192 Mb showed significantly lower femur vBMD compared with the control mice (-6%, p < 0.05). Furthermore, femur vBMD phenotype showed a negative correlation with endosteal circumference (r = -0.8, p = 0.003), and a strong correlation with cortical thickness for combined data from the 10 sublines (r = 0.97, p < 0.001). Moreover, a high correlation was found between body weight and both periosteal and endosteal circumferences for sublines carrying cast alleles from 167 to 175, 168 to 185, and 169 to 185 Mb, whereas no significant correlation was found between these parameters for sublines carrying cast alleles from 172 to 185 Mb. CONCLUSIONS: Genetic analysis using congenic sublines revealed that the initial BMD QTL on Chr 1 is a complex site with multiple loci affecting bone phenotypes, showing the value of the congenic approach in clearly identifying loci that control specific traits.

Alleles↗

[QTL analysis of starch content in maize kernels using the trisomic inheritance of the endosperm model].

Two hundred and fifty-nine F2:3 families, developed from the cross between a dent corn inbred line Dan232 and a popcorn inbred line N04, were evaluated for its starch content in the replicated experiments under two environments. One hundred and eighty three pairs of SSR markers were selected to construct a genetic linkage map, covering 1,762.2 cM (centiMorgan) and on the average distance of 9.63 cM between the markers. Quantative trait loci (QTL) were identified and its effects were analyzed, using the triploid endosperm genetic model and the interval mapping method. Ten QTL, detected on chromosome 1, 3, 4, 5 and 7 respectively, were mapped in spring and in summer. All detected QTL in spring were also identified in summer. The phenotypic variation of a single QTL varied from 4.74% to 11.26%, and the total contributions of all QTL under two environments were 36.84% and 72.65%, respectively. Two QTL of all identified QTL in spring showed over-dominant effects, but additive and partially dominant in summer respectively, the amounts of other QTL showing Additive, partially dominant and over-dominant effects were 2, 1, 5 respectively. The positive alleles of three QTL were contributed by the normal corn parent Dan232, and the other positive alleles were contributed by the popcorn parent N04.

Chromosome Mapping↗

Mapping quantitative trait loci (QTLs) for resistance to Gibberella zeae infection in maize.

The basic prerequisite for an efficient breeding program to improve levels of resistance to pathogens in plants is the identification of genes controlling the resistance character. If the response to pathogens is under the control of a multilocus system, the utilization of molecular markers becomes essential. Stalk and ear rot caused by Gibberella zeae is a widespread disease of corn: resistance to G. zeae is quantitatively inherited. Our experimental approach to understanding the genetic basis of resistance to Gibberella is to estimate the genetic linkage between available molecular markers and the character, measured as the amount of diseased tissue 40 days after inoculation of a suspension of Fusarium graminearum, the conidial form of G. zeae, into the first stalk internode. Sensitive and resistant parental inbreds were crossed to obtain F1 and F2 populations: the analysis of the segregation of 95 RFLP (restriction fragment length polymorphism) clones and 10 RAPD (random amplified polymorphic DNA) markers was performed on a population of 150 F2 individuals. Analysis of resistance was performed on the F3 families obtained by selfing the F2 plants. Quantitative trait loci (QTL) detection was based either on analysis of regression coefficients between family mean value and allele values in the F2 population, or by means of interval mapping, using MAPMAKER-QTL. A linkage map of maize was obtained, in which four to five genomic regions are shown to carry factors involved in the resistance to G. zeae.

Chromosome Mapping↗

Quantitative trait loci influencing morphine antinociception in four mapping populations.

Analgesia (pain reduction, or antinociception) is a classical and clinically important effect of morphine administration, and in rodent models sensitivity to morphine has been shown to be strongly influenced by genotype. For example, several studies have reported marked differences in morphine antinociception between the insensitive C57BL/6 (B6) and sensitive DBA/2 (D2) inbred mouse strains on the hot-plate assay. This prompted the present genome-wide search for quantitative trait loci (QTLs) that are chromosomal sites influencing the magnitude of antinociception, by using four mapping populations derived from the B6 and D2 progenitor inbred strains. These four were the BXD recombinant inbred (RI) strain set, an F2 (B6D2F2) population, short-term selective breeding for antinociception from a B6D2F2 founding population, and incipient or completed congenic strains. In the BXD RI set and in the B6D2F2, a genome-wide search identified 10-12 provisional QTLs at a nominal p <.05. The other populations were subsequently used as confirmation steps to test each of the provisional QTL regions. Based on all available mapping populations, four QTLs emerged as significant (p <.00005) on proximal Chromosome (Chr) 1 (females only), proximal Chr 9 (females only), mid Chr 9, and proximal Chr 10. The Chr 10 QTL comaps to the same region as the micro-opioid receptor gene (Oprm); this receptor is a known mediator of morphine's antinociceptive effects. The Chr 1 QTL was evident only in females and comapped with the kappa-opioid receptor gene, Oprk.

Analgesia↗

Genome-wide SNP discovery and linkage analysis in barley based on genes responsive to abiotic stress.

More than 2,000 genome-wide barley single nucleotide polymorphisms (SNPs) were developed by resequencing unigene fragments from eight diverse accessions. The average genome-wide SNP frequency observed in 877 unigenes was 1 SNP per 200 bp. However, SNP frequency was highly variable with the least number of SNP and SNP haplotypes observed within European cultivated germplasm reflecting effects of breeding history on genetic diversity. More than 300 SNP loci were mapped genetically in three experimental mapping populations which allowed the construction of an integrated SNP map incorporating a large number of RFLP, AFLP and SSR markers (1,237 loci in total). The genes used for SNP discovery were selected based on their transcriptional response to a variety of abiotic stresses. A set of known barley abiotic stress QTL was positioned on the linkage map, while the available sequence and gene expression information facilitated the identification of genes potentially associated with these traits. Comparison of the sequenced SNP loci to the rice genome sequence identified several regions of highly conserved gene order providing a framework for marker saturation in barley genomic regions of interest. The integration of genome-wide SNP and expression data with available genetic and phenotypic information will facilitate the identification of gene function in barley and other non-model organisms.

Expressed Sequence Tags↗

Search for QTL affecting the shape of the egg laying curve of the Japanese quail.

BACKGROUND: Egg production is of critical importance in birds not only for their reproduction but also for human consumption as the egg is a highly nutritive and balanced food. Consequently, laying in poultry has been improved through selection to increase the total number of eggs laid per hen. This number is the cumulative result of the oviposition, a cyclic and repeated process which leads to a pattern over time (the egg laying curve) which can be modelled and described individually. Unlike the total egg number which compounds all variations, the shape of the curve gives information on the different phases of egg laying, and its genetic analysis using molecular markers might contribute to understand better the underlying mechanisms. The purpose of this study was to perform the first QTL search for traits involved in shaping the egg laying curve, in an F2 experiment with 359 female Japanese quail. RESULTS: Eight QTL were found on five autosomes, and six of them could be directly associated with egg production traits, although none was significant at the genome-wide level. One of them (on CJA13) had an effect on the first part of the laying curve, before the production peak. Another one (on CJA06) was related to the central part of the curve when laying is maintained at a high level, and the four others (on CJA05, CJA10 and CJA14) acted on the last part of the curve where persistency is determinant. The QTL for the central part of the curve was mapped at the same position on CJA06 than a genome-wide significant QTL for total egg number detected previously in the same F2. CONCLUSION: Despite its limited scope (number of microsatellites, size of the phenotypic data set), this work has shown that it was possible to use the individual egg laying data collected daily to find new QTL which affect the shape of the egg laying curve. Beyond the present results, this new approach could also be applied to longitudinal traits in other species, like growth and lactation in ruminants, for which good marker coverage of the genome and theoretical models with a biological significance are available.

Algorithms↗

Genetic differences in hepatic lipid peroxidation potential and iron levels in mice.

Oxidative damage to macromolecules, including lipids, has been hypothesized as a mechanism of aging. One end product of lipid peroxidation, malondialdehyde (MDA), is often quantified as a measure of oxidative damage to lipids. We used a commercial colorimetric assay for MDA (Bioxytech LPO-586, Oxis International, Portland, OR) to measure lipid peroxidation potential in liver tissue from young (2 month) male mice from recombinant inbred (RI) mouse strains from the C57BL/6J (B6)xDBA/2J (D2) series (BXD). The LPO-586 assay (LPO) reliably detected significant differences (P<0.0001) in lipid peroxidation potential between the B6 and D2 parental strains, and yielded a more than two-fold variation across the BXD RI strains. In both B6 and D2 mice, LPO results were greater in old (23 month) mice, with a larger age-related increase in the D2 strain. As the level of iron can influence lipid peroxidation, we also measured hepatic non-heme iron levels in the same strains. Although iron level exhibited a slightly negative overall correlation (r(2)=0.119) with LPO results among the entire group of BXD RI strains, a sub-group with lower LPO values were highly correlated (r(2)=0.704). LPO results were also positively correlated with iron levels from a group of 8 other inbred mouse strains (r(2)=0.563). The BXD RI LPO data were statistically analyzed to nominate quantitaive trait loci (QTL). A single marker, Zfp4, which maps to 55.2 cM on chromosome 8, achieved a significance level of P<0.0006. At least two potentially relevant candidate genes reside close to this chromosomal position. Hepatic lipid peroxidation potential appears to be a strain related trait in mice that is amenable to QTL analysis.

Aging↗

Candidate gene analysis of GH1 for effects on growth and carcass composition of cattle.

We present an approach to evaluate the support for candidate genes as quantitative trait loci (QTLs) within the context of genome-wide map-based cloning strategies. To establish candidacy, a bacterial artificial chromosome (BAC) clone containing a putative candidate gene is physically assigned to an anchored linkage map to localise the gene relative to an identified QTL effect. Microsatellite loci derived from BAC clones containing an established candidate gene are integrated into the linkage map facilitating the evaluation by interval analysis of the statistical support for QTL identity. Permutation analysis is employed to determine experiment-wise statistical support. The approach is illustrated for the growth hormone 1 (GH1) gene and growth and carcass phenotypes in cattle. Polymerase chain reaction (PCR) primers which amplify a 441 bp fragment of GH1 were used to systematically screen a bovine BAC library comprising 60,000 clones and with a 95% probability of containing a single copy sequence. The presence of GH1 in BAC-110R2C3 was confirmed by sequence analysis of the PCR product from this clone and by the physical assignment of BAC110R2C3 to bovine chromosome 19 (BTA19) band 22 by fluorescence in situ hybridisation (FISH). Microsatellite KHGH1 was isolated from BAC110R2C3 and scored in 529 reciprocal backcross and F2 fullsib progeny from 41 resource families derived from Angus (Bos taurus) and Brahman (Bos indicus). The microsatellite KHGH1 was incorporated into a framework genetic map of BTA19 comprising 12 microsatellite loci, the erythrocyte antigen T and a GH1-TaqI restriction fragment length polymorphism (RFLP). Interval analysis localised effects of taurus vs. indicus alleles on subcutaneous fat and the percentage of either extractable fat from the Iongissimus dorsi muscle to the region of BTA19 harbouring GH1.

Animals↗