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Mapping of obesity QTLs in a cross between mouse lines divergently selected on fat content.

A genome-wide quantitative trait locus (QTL) analysis was performed in a polygenic obesity mouse model resulting from a long-term selection experiment. The parental lines were outbred lines divergently selected for 53 generations for high-fat (fat, F line) or low-fat (lean, L line) percentage (fat%) that differed fivefold in fat% at 14 weeks of age. An F2 population of 436 mice was used for the QTL analysis with 71 markers distributed across the genome. The analysis revealed significant QTLs Fob1 (for F-line obesity QTL 1), Fob2, Fob3, and Fob4, on Chromosomes (Chrs) 2, 12, 15, and X, respectively. None of these QTLs map to regions of known single gene obesity mutations (Lepob, Leprdb, Cpefat, Ay, tub), though they map to regions of previously described obesity QTLs and candidate genes. The effects of Fob1, Fob3, Fob4 were additive, and that of Fob2 was dominant. Fob2 also showed a significant female-specific effect. Fob1, Fob2, Fob3, and Fob4 explained 4.9%, 19.5%, 14.4%, and 7.3% of the F2 phenotypic variance for fat%, respectively. This study identified four loci that contributed to the response to divergent selection and control a significant proportion of the difference in obesity between the F and L lines.

Animals↗

Vernalization response in perennial ryegrass (Lolium perenne L.) involves orthologues of diploid wheat (Triticum monococcum) VRN1 and rice (Oryza sativa) Hd1.

Flowering time is important when adapting crop plants to different environments. While high feeding quality of forage grasses is facilitated by repression of flowering, flowering should also be inducible to facilitate grass seed production. Consequently, the identification and characterization of the genes controlling flowering time in forage grasses, including perennial ryegrass (Lolium perenne L.), is of great interest. In this study, three candidate genes for vernalization response genes in perennial ryegrass were identified based on DNA sequence homology to TmVRN1 and TmVRN2 of diploid wheat (Triticum monococcum), and Hd1 of rice (Oryza sativa). High sequence similarity between LpVRN1 and TmVRN1, co-localization of LpVRN1 with a major quantitative trait loci (QTL) for vernalization response in perennial ryegrass, synteny between map-positions of LpVRN1 and TmVRN1, mRNA expression analysis of LpVRN1 alleles during vernalization, and the correspondence between LpVRN1 mRNA expression levels and flowering time leads us to conclude that LpVRN1 is orthologous to TmVRN1 and that its function is conserved between diploid wheat and perennial ryegrass. Of the remaining two candidate genes, a putative Hd1 orthologue, LpCO, co-localized with a second QTL for vernlization response. LpCO has recently been shown to be involved in the photoperiodic regulation of flowering time. While epistasis, at the level of LpVRN1 transcription, was observed between the LpVRN1 and LpCO genomic regions, no differential expression of LpCO transcripts was observed during vernalization. While orthologous genes controlling flowering time can thus be identified, future allele sequencing efforts will reveal if causative polymorphisms are conserved across the grasses.

Amino Acid Sequence↗

Quantitative trait loci (QTL) applications to substances of abuse: physical dependence studies with nitrous oxide and ethanol in BXD mice.

Recombinant inbred (RI) mouse strains were developed primarily as a tool to detect and provisionally map major gene loci--those with effects large enough to cause a bimodal distribution in the trait of interest. This implied that progress toward gene mapping was possible only for gene loci accounting for at least half of the genetic variance. More recently, QTL (quantitative trait loci) approaches have been advanced that do not require bimodal distributions and are thus applicable to a much wider range of phenotypes. They offer the prospect of meaningful progress toward detecting and mapping minor as well as major gene loci affecting any trait of interest, provided there is a significant degree of genetic determination among the RI strains. This paper presents a review of RI gene mapping efforts concerning phenotypes related to drug abuse and presents new data for studies now in progress for nitrous oxide and acute ethanol withdrawal intensity. These two studies exemplify several strengths and limitations of the RI QTL approach.

Alcohol Withdrawal Delirium↗

A successful strategy for comparative mapping with human ESTs: 65 new regional assignments in the pig.

Large-scale sequencing of cDNAs from numerous tissues is currently being performed within the framework of the Human Genome Project. These expressed sequence tags (ESTs) are then mapped on a radiation hybrid panel to produce a high-resolution map of human genes. In this report, we estimate the efficiency of mapping these ESTs in the pig. A total of 344 human ESTs from Généthon were selected for amplification in other species by Zoo-PCR: 186 of these could be reproducibly amplified by use of pig DNA and the corresponding human primer pairs. One-hundred seven of these were tested on a porcine-rodent somatic cell hybrid panel, permitting regional localizations of 65 ESTs with agarose or single-strand conformation polymorphism analysis gels. The corresponding pig PCR products were sequenced: 60 ESTs matched significantly with the expected human sequences. Fifty-one of these localizations in the pig are in agreement with the comparative mapping data between humans and pigs based on heterologous chromosome painting. Seven ESTs that were localized in an unexpected region may indicate new chromosomal correspondences. This work significantly increases the number of genes mapped on the pig genome and demonstrates that this approach can be successfully applied to improve the gene density of mammalian genomic maps in chromosomal regions of interest, such as those in which QTL (Quantative Trait Loci) have been identified.

Animals↗

Towards a genus-wide reference linkage map for Eucalyptus based exclusively on highly informative microsatellite markers.

A novel set of 50 highly polymorphic microsatellite markers were developed and mapped on existing RAPD framework maps of Eucalyptus grandis and E. urophylla. Together with the twenty previously developed microsatellite markers, these were used to align the existing maps for the two most commercially important Eucalyptus species in the tropics. Sixty-three microsatellite markers were placed on the E. grandis map in 11 linkage groups, and 53 on the E. urophylla map distributed in 10 linkage groups. Approximately 66% of the microsatellite markers segregated in a fully informative fashion, allowing the establishment of colinear syntenic linkage groups between the two maps. The 50 new microsatellite markers were highly informative, with an average of 14 alleles per locus, and average expected heterozygosity between 0.82 and 0.87. Furthermore, within the subgenus Symphyomyrtus, to which the vast majority of commercially important Eucalyptus species belong, these markers display on average 90% transportability. This set of 70 mapped microsatellite markers represents a significant step toward the development of a genus-wide reference linkage map for Eucalyptus. These highly multiallelic and transportable markers constitute a powerful tool for QTL discovery and validation, and can be used in directed searches for QTL allele variation across Eucalyptus pedigrees.

Chromosome Mapping↗

Polymorphism of the bovine CSN1S1 promoter: linkage mapping, intragenic haplotypes, and effects on milk production traits.

The bovine CSN1S1 5' flanking region (CSN1S1-5') was screened for polymorphisms in different cattle breeds. Single-strand conformation polymorphisms (SSCP) and sequence analyses revealed four alleles (1-4), two of them being new allelic forms (3 and 4). Sequences were deposited in GenBank with accession numbers AF549499-502. In alleles 1 and 4, potential transcription factor binding sites are altered by the mutations. Using SSCP analysis, all four alleles were identified in German Holsteins. Six intragenic haplo-types comprising CSN1S1-5' (alleles 1, 2, 3, 4) and exon 17 (CSN1S1*B and C) genotypes were found. Linkage mapping using half-sib families from the German QTL project positioned CSN1S1 between the markers FBN14 and CSN3, with 5.6 cM distance between CSN1S1 and CSN3. Variance analysis, using family and CSN1S1 promoter genotypes as fixed effects, of breeding values and deregressed proofs for milk production traits (milk, fat, and protein yield and also fat and protein percentage) revealed significant effects on protein percentage when all families and genotypes were considered. Contrast calculations assigned a highly significant effect to genotype 24, which was associated with highest LS-means for protein percentage breeding values. As CSN1S1 is one of the main caseins in milk, this could be an effect of mutations in regulatory elements in the promoter region. An effect on milk yield breeding values was indicated for genotype 12, but is probably caused by a linked locus.

Alleles↗

Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the Arabidopsis flowering time gene CONSTANS.

A major quantitative trait locus (QTL) controlling response to photoperiod, Hd1, was identified by means of a map-based cloning strategy. High-resolution mapping using 1505 segregants enabled us to define a genomic region of approximately 12 kb as a candidate for Hd1. Further analysis revealed that the Hd1 QTL corresponds to a gene that is a homolog of CONSTANS in Arabidopsis. Sequencing analysis revealed a 43-bp deletion in the first exon of the photoperiod sensitivity 1 (se1) mutant HS66 and a 433-bp insertion in the intron in mutant HS110. Se1 is allelic to the Hd1 QTL, as determined by analysis of two se1 mutants, HS66 and HS110. Genetic complementation analysis proved the function of the candidate gene. The amount of Hd1 mRNA was not greatly affected by a change in length of the photoperiod. We suggest that Hd1 functions in the promotion of heading under short-day conditions and in inhibition under long-day conditions.

Amino Acid Sequence↗

A directed search for quantitative trait loci on chromosomes 4 and 7 in pigs.

Improvements in the porcine genetic map and availability of resource families to study performance traits in pigs have made it possible to re-examine previous findings that linked certain traits to genes or chromosomal regions. Previous studies suggested that chromosomes 4 and 7 may be associated with growth and performance traits. To confirm these previous results, an interval mapping-regression approach was used to determine whether quantitative trait loci (QTL) exist in the Iowa State University reference/resource families. Traits measured were birth weight; body weight at 21 d; weaning weight (weight at 42 d); average daily gain; backfat at the first, 10th, lumbar, and last ribs and average backfat thickness; loin eye area; meat color; marbling; and firmness. The total number of F2 pigs used ranged from 241 to 330 and came from five Chinese x American resource families. Five markers (S0001, SW871, S0175, S0214, and SW445) were genotyped and mapped on chromosome 4, and so were 10 markers (S0064, tumor necrosis factor alpha [TNFalpha], S0102, S0078, S0158, S0066, SW304, SW1083, S0101, and S0212) on chromosome 7. Data were analyzed for each family (breed cross) separately and were also pooled. Experiment-wise thresholds were used to determine significance. Suggestive evidence of QTL on chromosomes 4 and 7 was observed for several traits in pooled and individual family analyses. Suggestive evidence of a QTL with a relatively large effect for average daily gain was detected on chromosome 4 in the pooled analysis. Significant (P < .05) evidence for QTL was seen on chromosome 7 for 10th-rib, last-rib, and average backfat thickness in the pooled data set in a region of the chromosome that was near TNFalpha. These results verify in part that chromosomes 4 and 7 contain QTL for growth and carcass traits.

Animals↗

Identification of candidate genes at quantitative trait loci on chicken chromosome Z using orthologous comparison of chicken, mouse, and human genomes.

This study was undertaken to identify novel candidate genes at quantitative trait loci (QTL) on chicken chromosome Z (GGAZ) by comparing orthologous regions of chicken, human and mouse genomes. Primer sequences from marker flanking QTL positions (https://acedb.asg.wur.nl/) were obtained from www.iastate.edu/chickmap and blasted against the chicken genome (www.ensembl.org) using BLASTN. The best matches were those with the highest score, lowest E-values and highest percent identity. Orthologous regions in mice and humans, together with genes located on or around those loci were identified using the Ensembl website. Forty-six chicken genes, 91 mouse genes and 60 human genes associated with QTL on GGAZ were identified in the current study. Among the most promising candidate genes for egg production and egg shell quality are annexin A1 (ANXA1), osteoclast stimulating factor (OSF), thrombospondin-4 (THBS4), programmed cell death proteins (PDCD), follistatin (FST), growth hormone receptor (GHR), interferon (IFN) alpha and beta. The chicken IFN alpha and beta were located on GGAZ around position 13,000,000 bp on the draft chicken sequence map. The neuronal nicotinic acetylcholine receptor (nAChR) is located at a QTL region for abdominal fat (GGAZ 25483091 bp). Nicotine is an agonist at the nAChRs and has been shown to decrease lipolysis and triglyceride uptake, thereby reducing net storage in adipose tissue. Therefore, the nAchRs could be used as therapeutic targets for regulating feed intake and obesity. This study has identified 197 putative candidate genes in probable QTL regions of chicken chromosome Z.

Animals↗

Fine mapping of Lvm1: a quantitative trait locus controlling heart size independently of blood pressure.

We have previously reported a quantitative trait locus (QTL) on rat chromosome 2 that influences heart size independently of blood pressure (Left Ventricular Mass Locus 1; Lvm1). The recent release of the rat genome sequence allowed us to retest and refine this relatively broad QTL with a view to identifying within it candidate genes worthy of structural investigation. We sought to achieve this 'fine mapping' by increasing the marker density within the interval and undertaking a linkage analysis in a previously defined population of F2 hybrids generated from inbred spontaneously hypertensive rats (SHR) of the Okamoto strain and Fischer rat (F344) progenitors. We were able to reconfirm and resolve Lvm1 from its original width of approximately 45 to 15 cM. By reference to the ENSEBL rat genome data bank, we identified within Lvm1 27 known genes, 109 predicted genes and 7 pseudogenes. Of the known genes, candidates include potential regulators of cardiac growth, a sodium channel and calcium channel as well as the fibroblast growth factor 2 gene. Located nearby the Lvm1 locus was the gene for the angiotensin Type 1B receptor. Given the evidence that the ligand for the angiotensin Type 1B receptor-angiotensin II-is a potent cardiotroph, we also consider this gene a potential candidate. The identification of the precise allelic variant(s) within Lvm1 involved in the control of pressure-independent cardiac growth awaits further molecular studies.

Animals↗

Genetic dissection of obesity in polygenic animal models.

In contrast to diseases caused by single-gene defects, many of the most common human maladies such as obesity, atherosclerosis, diabetes, and hypertension exhibit continuous phenotypic variation and a predominantly multifactorial and polygenic basis. Genes with roles in energy balance, nutrient partitioning, lipid and insulin metabolism, and a variety of behavioral traits are likely interacting with environmental stimuli to regulate obesity phenotypes. With the current proliferation of highly polymorphic genetic markers and the refinement of experimental approaches, it is now possible to screen thoroughly the genomes of model organisms for the individual genes or quantitative trait loci (QTL) that control measurable polygenic traits such as obesity. With the growing wealth of comparative mapping, it will be possible to predict the location of a homologous locus in the human after first mapping it in the mouse. Many experiments have been conducted in mice, rats, and pigs to estimate the number, location, and effect of QTL controlling obesity and related traits. This review describes the design and strategies of such studies and summarizes the results and their implications toward understanding the complex nature of obesity in humans.

Animals↗

A mixed-model approach to association mapping using pedigree information with an illustration of resistance to Phytophthora infestans in potato.

Association or linkage disequilibrium (LD)-based mapping strategies are receiving increased attention for the identification of quantitative trait loci (QTL) in plants as an alternative to more traditional, purely linkage-based approaches. An attractive property of association approaches is that they do not require specially designed crosses between inbred parents, but can be applied to collections of genotypes with arbitrary and often unknown relationships between the genotypes. A less obvious additional attractive property is that association approaches offer possibilities for QTL identification in crops with hard to model segregation patterns. The availability of candidate genes and targeted marker systems facilitates association approaches, as will appropriate methods of analysis. We propose an association mapping approach based on mixed models with attention to the incorporation of the relationships between genotypes, whether induced by pedigree, population substructure, or otherwise. Furthermore, we emphasize the need to pay attention to the environmental features of the data as well, i.e., adequate representation of the relations among multiple observations on the same genotypes. We illustrate our modeling approach using 25 years of Dutch national variety list data on late blight resistance in the genetically complex crop of potato. As markers, we used nucleotide binding-site markers, a specific type of marker that targets resistance or resistance-analog genes. To assess the consistency of QTL identified by our mixed-model approach, a second independent data set was analyzed. Two markers were identified that are potentially useful in selection for late blight resistance in potato.

Chromosome Mapping↗

Fine mapping and SNP analysis of positional candidates at the preeclampsia susceptibility locus (PREG1) on chromosome 2.

Genome scans in Icelandic, Australian and New Zealand, and Finnish families have localized putative susceptibility loci for preeclampsia/ eclampsia to chromosome 2. The locus mapped in the Australian and New Zealand study (designated PREG1) was thought to be the same locus as that identified in the Icelandic study. In both these studies, two distinct quantitative trait locus (QTL) regions were evident on chromosome 2. Here, we describe our fine mapping of the PREG1 locus and a genetic analysis of two positional candidate genes. Twenty-five additional microsatellite markers were genotyped within the 74-cM linkage region defined by the combined Icelandic and Australian and New Zealand genome scans. The overall position and shape of the localization evidence obtained using nonparametric multipoint analysis did not change from that seen previously in our 10-cM resolution genome scan; two peaks were displayed, one on chromosome 2p at marker D2S388 (107.46 cM) and the other on chromosome 2q at 151.5 cM at marker D2S2313. Using the robust two-point linkage analysis implemented in the Analyze program, all 25 markers gave positive LOD scores with significant evidence of linkage being seen at marker D2S2313 (151.5 cM), achieving a LOD score of 3.37 under a strict diagnostic model. Suggestive evidence of linkage was seen at marker D2S388 (107.46 cM) with a LOD score of 2.22 under the general diagnostic model. Two candidate genes beneath the peak on chromosome 2p were selected for further analysis using public single nucleotide polymorphisms (SNPs) within these genes. Maximum LOD scores were obtained for an SNP in TACR1 (LOD = 3.5) and for an SNP in TCF7L1 (LOD = 3.33), both achieving genome-wide significance. However, no evidence of association was seen with any of the markers tested. These data strongly support the presence of a susceptibility gene on chromosome 2p11-12 and substantiate the possibility of a second locus on chromosome 2q23.

Australia↗

Detection and resolution of genetic loci affecting circadian period in Brassica oleracea.

Circadian rhythms regulate many aspects of plant growth, fitness and vigour. The components and detailed mechanism of circadian regulation to date have been dissected in the reference species Arabidopsis thaliana. To determine the genetic basis and range of natural allelic variation for intrinsic circadian period in the closest crop relatives, we used an accurate and high throughput data capture system to record rhythmic cotyledon movement in two immortal segregating populations of Brassica oleracea, derived from parent lines representing different crop types. Periods varied between 24.4 and 26.1 h between the parent lines, with transgressive segregation between extreme recombinant lines in both populations of approximately 3.5 h. The additive effect of individual QTL identified in each population varied from 0.17 to 0.36 h. QTL detected in one doubled haploid population were verified and the mapping intervals further resolved by determining circadian period in genomic substitution lines derived from the parental lines. Comparative genomic analysis based on collinearity between Brassica and Arabidopsis also allowed identification of candidate orthologous genes known to regulate period in Arabidopsis, that may account for the additive circadian effects of specific QTL. The distinct QTL positions detected in the two populations, and the extent of transgressive segregation suggest that there is likely to be considerable scope for modulating the range of available circadian periods in natural populations and crop species of Brassica. This may provide adaptive advantage for optimising growth and development in different latitudes, seasons or climate conditions.

Brassica↗

A new test for family-based association mapping with inbred lines from plant breeding programs.

Association mapping holds great promise for the detection of quantitative trait loci (QTL) in plant breeding populations. The main objectives of this study were to (1) adapt the quantitative pedigree disequilibrium test to typical pedigrees of inbred lines produced in plant breeding programs, (2) compare the newly developed quantitative inbred pedigree disequilibrium test (QIPDT) with the commonly employed logistic regression ratio test (LRRT), with respect to the power and type I error rate of QTL detection, and (3) demonstrate the use of the QIPDT by applying it to flowering data of European elite maize inbreds. QIPDT and LRRT were compared based on computer simulations modeling 55 years of hybrid maize breeding in Central Europe. Furthermore, we applied QIPDT to a cross-section of 49 European elite maize inbred lines genotyped with 722 amplified fragment length polymorphism markers and phenotyped in four environments for days to anthesis. Compared to LRRT, the power to detect QTL was higher with QIPDT when using data collected routinely in plant breeding programs. Application of QIPDT to the 49 European maize inbreds resulted in a significant (P < 0.05) association located at a position for which a consensus QTL was detected in a previous study. The results of our study suggested that QIPDT is a promising QTL detection method for data collected routinely in plant breeding programs.

Breeding↗

Detection of quantitative trait loci for growth and beef carcass fatness traits in a cross between Bos taurus (Angus) and Bos indicus (Brahman) cattle.

This study was conducted to detect quantitative trait loci (QTL) affecting growth and beef carcass fatness traits in an experimental population of Angus and Brahman crossbreds. The three-generation mapping population was generated with 602 progeny from 29 reciprocal backcross and three F2 full-sib families, and 417 genetic markers were used to produce a sex-averaged map of the 29 autosomes spanning 2,642.5 Kosambi cM. Alternative interval-mapping approaches were applied under line-cross (LC) and random infinite alleles (RA) models to detect QTL segregating between and within breeds. A total of 35 QTL (five with genomewide significant and 30 with suggestive evidence for linkage) were found on 19 chromosomes. One QTL affecting yearling weight was found with genomewide significant evidence for linkage in the interstitial region of bovine autosome (BTA) 1, and an additional 19 QTL were detected with suggestive evidence for linkage under the LC model. Many of these QTL had a dominant (complete or overdominant) mode of gene action, and only a few of the QTL were primarily additive, which reflects the fact that heterosis for growth is known to be appreciable in crosses among Brahman and British breeds. Four QTL affecting growth were detected with genomewide significant evidence for linkage under the RA model on BTA 2 and BTA 6 for birth weight, BTA 5 for yearling weight, and BTA 23 for hot carcass weight. An additional 11 QTL were detected with suggestive evidence for linkage under the RA model. None of the QTL (except for yearling weight on BTA 5) detected under the RA model were found by the LC analyses, suggesting the segregation of alternate alleles within one or both of the parental breeds. Our results reveal the utility of implementing both the LC and RA models to detect dominant QTL and also QTL with similar allele frequency distributions within parental breeds.

Adipose Tissue↗

Mapping of quantitative trait loci for carcass traits in a Japanese Black (Wagyu) cattle population.

To detect quantitative trait loci (QTL) that influence economically important traits in a purebred Japanese Black cattle population, we performed a preliminary genome-wide scan using 187 microsatellite markers across a paternal half-sib family composed of 258 offspring. We located six QTL at the 1% chromosome-wise level on bovine chromosomes (BTA) 4, 6, 13, 14 and 21. A second screen of these six QTL regions using 138 additional paternal offspring half-sib from the same sire, provided further support for five QTL: carcass weight on BTA14 (22-39 cM), one for rib thickness on BTA6 (27-58 cM) and three for beef marbling score (BMS) on BTA4 (59-67 cM), BTA6 (68-89 cM) and BTA21 (75-84 cM). The location of QTL for subcutaneous fat thickness on BTA13 was not supported by the second screen (P > 0.05). We determined that the combined contribution of the three QTLs for BMS was 10.1% of the total variance. The combined phenotypic average of these three Q was significantly different (P < 0.001) from those of other allele combinations. Analysis of additional half-sib families will be necessary to confirm these QTL.

Animals↗

Construction of a cytogenetically anchored microsatellite map in rabbit.

Rabbit (Oryctolagus cuniculus) represents a valuable source of biomedical models and corresponds to a small but active economic sector in Europe for meat and fur. The rabbit genome has not been thoroughly studied until recently, and high-resolution maps necessary for identification of genes and quantitative trait loci (QTL) are not yet available. Our aim was to isolate over 300 new and regularly distributed (TG)n or (TC)n rabbit microsatellites. To achieve this purpose, 164 microsatellite sequences were isolated from gene-containing bacterial artificial chromosome (BAC) clones previously localized by fluorescence in situ hybridization (FISH) on all the rabbit chromosomes. In addition, 141 microsatellite sequences were subcloned from a plasmid genomic library, and for 41 of these sequences, BAC clones were identified and FISH-mapped. TC repeats were present in 62% of the microsatellites derived from gene-containing BAC clones and in 22% of those from the plasmid genomic library, with an average of 42.9% irrespective of the microsatellite origin. These results suggest a higher proportion of (TC)n repeats and a nonhomogeneous distribution of (TG)n and (TC)n repeats in the rabbit genome compared to those in man. Among the 305 isolated microsatellites, 177 were assigned to 139 different cytogenetic positions on all the chromosomes except rabbit Chromosome 21. Sequence similarity searches provided hit locations on the Human Build 35a and hypothetical assignments on rabbit chromosomes for ten additional microsatellites. Taken together, these results report a reservoir of 305 new rabbit microsatellites of which 60% have a cytogenetic position. This is the first step toward the construction of an integrated cytogenetic and genetic map based on microsatellites homogeneously anchored to the rabbit genome.

Animals↗