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PubMed2006

Identification of quantitative trait loci for ABA sensitivity at seed germination and seedling stages in rice.

Abscisic acid (ABA) is one of the important plant hormones, which plays a critical role in seed development and adaptation to abiotic stresses. The sensitivity of rice (Oryza sativa L.) to exogenous ABA at seed germination and seedling stages was investigated in the recombinant inbred line (RIL) population derived from a cross between irrigated rice Zhenshan 97 and upland rice IRAT109, using relative germination vigor (RGV), relative germination rate (RGR) and leaf rolling scores of spraying (LRS) or culturing (LRC) with ABA as sensitivity indexes. The phenotypic correlation analysis revealed that only RGV at germination stage was positively correlated to ABA sensitivity at seedling stage. QTL detection using composite interval mapping (CIM) and mixed linear model was conducted to dissect the genetic basis of ABA sensitivity, and the single-locus QTLs detected by both methods are in good agreement with each other. Five single QTLs and six pairs of epistatic QTLs were detected for ABA sensitivity at germination stage. Eight single QTLs and five pairs of epistatic QTLs were detected for ABA sensitivity at seedling stage. Two QTLs were common between LRS and LRC; and one common QTL was detected for RGV, LRS and LRC simultaneously. These results indicated that both single and epistatic loci were involved in the ABA sensitivity in rice, and the genetic basis of ABA sensitivity at seed germination and seedling stage was largely different.

Abscisic Acid↗
PubMed2002

Quantitative trait loci and candidate genes regulating HDL cholesterol: a murine chromosome map.

OBJECTIVE: Summarizing the many discovered mouse and human quantitative trait loci (QTL) for high density lipoprotein (HDL) cholesterol (HDL-C) levels is important for guiding future research on the genetic regulation of HDL concentrations and for finding gene targets for upregulating HDL levels in mice and humans. METHODS AND RESULTS: We summarized the 27 QTL and candidate genes associated with HDL-C concentrations in mice and plotted them on a mouse chromosome map. We also summarized the 22 human QTL for HDL-C levels and compared them with those of the mouse by comparative genomics. At least part of the mouse homologies for 18 of the 22 human HDL-C QTL were within the murine HDL-C QTL. CONCLUSIONS: Murine QTL for HDL-C levels may predict their homologous location in humans, and their underlying genes may be appropriate genes to test in humans.

Animals↗
PubMed1998

Natural variation in neuron number in mice is linked to a major quantitative trait locus on Chr 11.

Common genetic polymorphisms-as opposed to rare mutations-generate almost all heritable differences in the size and structure of the CNS. Surprisingly, these normal variants have not previously been mapped or cloned in any vertebrate species. In a recent paper (), we suggested that much of the variation in retinal ganglion cell number in mice, and the striking bimodality of strain averages, are caused by one or two quantitative trait loci (QTLs). To test this idea, and to map genes linked to this variable and highly heritable quantitative trait, we have counted ganglion cells in 38 recombinant inbred strains (BXD and BXH) derived from parental strains that have high and low cell numbers. A genome-wide search using simple and composite interval-mapping techniques revealed a major QTL on chromosome (Chr) 11 in a 3 cM interval between Hoxb and Krt1 (LOD = 6.8; genome-wide p = 0.001) and possible subsidiary QTLs on Chr 2 and Chr 8. The Chr 11 locus, neuron number control 1 (Nnc1), accounts for one third of the genetic variance among BXH strains and more than half of that among BXD strains, but Nnc1 has no known effects on brain weight, eye weight, or total retinal cell number. Three strong candidate genes have been mapped previously to the same region as Nnc1. These genes-Rara, Thra, and Erbb2- encode receptors for retinoic acid, thyroxine, and neuregulin, respectively. Each receptor is expressed in the retina during development, and their ligands affect the proliferation or survival of retinal cells.

Animals↗
PubMed2003

Genetics of behaviour: phenotypic and molecular study of rats derived from high- and low-alcohol consuming lines.

The aim of this study was to analyse the genetic basis of excessive ethanol consumption and its relationship with emotional reactivity. The high-ethanol preferring line of rats used is characterized by a: (i) high voluntary consumption of alcohol; (ii) high sensitivity to taste reinforcement (saccharine, quinine); (iii) high locomotor activity in a novel environment; and (iv) low emotional reactivity, these features being opposite in the Wistar-Kyoto (WKY) rat strain. The F2 population demonstrated a very large variability in these behavioural traits, and factor analysis revealed that these characteristics appear to be largely unrelated to each other. The molecular bases for these differences were investigated by quantitative trait loci (QTL) analysis. For this purpose, the 196 F2 rats were genotyped with regularly distributed markers on the whole genome, and genetic linkage maps were generated for all subsequent QTL analyses. A locus with a maximum LOD score of 7.6 and accounting for approximately 61% of the genetic variance of the trait in the F2 population was detected on chromosome 4 for alcohol drinking. In the same region, we found a QTL related to the reinforcement properties of saccharin, with a significant LOD score of 4.9 and explaining 46% of the variance of the trait. Other significant QTL were found for plus maze behaviour and open field activity on chromosome 1. Current research aims to identify the gene(s) involved.

Alcohol Drinking↗
PubMed2004

Zooming in on a quantitative trait for tomato yield using interspecific introgressions.

To explore natural biodiversity we developed and examined introgression lines (ILs) containing chromosome segments of wild species (Solanum pennellii) in the background of the cultivated tomato (S. lycopersicum). We identified Brix9-2-5, which is a S. pennellii quantitative trait locus (QTL) that increases sugar yield of tomatoes and was mapped within a flower- and fruit-specific invertase (LIN5). QTL analysis representing five different tomato species delimited the functional polymorphism of Brix9-2-5 to an amino acid near the catalytic site of the invertase crystal, affecting enzyme kinetics and fruit sink strength. These results underline the power of diverse ILs for high-resolution perspectives on complex phenotypes.

Alleles↗
PubMed2006

The effect of semi-dwarf genes on root system size in field-grown barley.

Root system size (RSS) was measured in 12 diverse barley genotypes and 157 double-haploid lines (DHs), using electric capacitance. The parents of the DHs, Derkado and B83-12/21/5, carry different semi-dwarfing genes, sdw1 and ari-e.GP, respectively. Estimates of RSS were taken in the field thrice during plant development: stem elongation (RSS1), heading (RSS2) and grain filling (RSS3). The 12 barley genotypes were assessed over 3 years and at two or three locations each year; the DH mapping population was assessed at two locations in 2002. Among the 12 barley genotypes, those with the semi-dwarf genes had greater RSS values in all 3 years (28.9, 24.6 and 15.0% in years 1, 2 and 3, respectively) compared to non-semi-dwarf controls. The DH population showed transgressive segregation on both sides of the parent means, indicating polygenic control of RSS. Quantitative trait loci (QTLs) for RSS were found on five of the seven chromosomes: 1H, 3H, 4H, 5H and 7H and these were compared with previously mapped agronomic traits. The TotalRSS QTL on 3H was associated with sdw1 and QTLs for height, plant yield and plant weight. The RSS3 QTL on 5H was associated with ari-e.GP and QTLs for height, plant yield, plant weight, harvest index and tiller number. The RSS3 QTL on 7H was also associated with a TotalRSS QTL and QTLs for plant weight and harvest index. Other RSS QTLs were not associated with any other trait studied. RSS is considered to be a polygenic trait linked to important traits, in particular to yield. The study highlights the effects of semi-dwarfing genes and discusses the potential for breeding for root traits.

Chromosome Mapping↗
PubMed2001

Multiple obesity QTLs identified in an intercross between the NZO (New Zealand obese) and the SM (small) mouse strains.

The inheritance of adiposity levels has been investigated in an intercross of the obese, diabetes-prone NZO and the small, lean SM mouse strains. Adiposity index (AI) was defined as the sum of four fat pad weights divided by body weight. DNA pools from fat and lean mice were analyzed with microsatellite variants to screen the genome for quantitative trait loci (QTLs) affecting AI. Ten significant QTLs affecting AI were identified on Chromosome (Chr) 1 (three loci), Chr 2, Chr 5 (two loci), Chr 6 (two loci), Chr 7, and Chr 17. Most of the QTLs appear to be novel. Several QTLs differentially affect specific fat depots. Thus, Chr 2 and Chr 7 QTLs affect gonadal more than inguinal fat, while the converse is true for the Chr 17 QTL. Gender influences the expression of several of the QTLs. For example, effects of the proximal Chr 1 QTL (Obq7) on AI appears to be primarily in males. The proximal AI QTL on Chr 6 (Obq13) maps near the neuropeptide Y (Npy) locus. Sequence analysis of the Npy gene revealed a 1-nucleotide deletion within a highly conserved portion of the 3' untranslated region in strain NZO. However, the deletion is polymorphic among mouse strains. Furthermore, lack of association between this same variant and AI in previously analyzed crosses raises doubt that it is the basis of Obq13. The present cross is the fourth in a series of intercrosses among 10 inbred strains arranged such that each strain is crossed with each adjacent strain within a circle. This design affords multiple opportunities to analyze each segregating QTL.

3' Untranslated Regions↗
PubMed2003

Development of a single nucleotide polymorphism map of porcine chromosome 2.

Single nucleotide polymorphism markers are developed on SSC2, predominantly on the p-arm. Several studies reported a quantitative trait loci (QTL) for backfat thickness in this region. Single nucleotide polymorphisms were identified by comparative re-sequencing of polymerase chain reaction (PCR) products from a panel of eight individuals. The panel consisted of five Large Whites (each from a different Dutch breeding company), a Meishan, a Pietrain and a Wild Boar. In total, 67 different PCR products were sequenced and 301 SNPs were identified in 32,429 bp of consensus sequence, an average of one SNP in every 108 bp. After correction for sample size, this polymorphism rate corresponds to a heterozygosity value of one SNP in every 357 bp. For 63% of the SNPs, there was variation among the five Large Whites, and these SNPs are relevant for linkage and association studies in commercial populations. Comparing the Whites with other breeds revealed higher variation rates with: (i) Meishan, 89%; (ii) Pietrain, 69%; (iii) Wild Boar, 70%. Because many of the experimental populations to identify QTL are based on crosses between these breeds, these SNPs are relevant for the fine mapping of the QTL identified within these crosses.

Animals↗
PubMed2006

A quantitative trait locus on chromosome 6 regulates the onset of puberty in mice.

Puberty is a fundamental developmental process experienced by all reproductively competent adults, yet the specific factors that regulate variation in its timing remain elusive. Using a new approach to identifying these factors, we have performed a survey among a panel of chromosome substitution strains (for inbred strains C57BL/6J and A/J) followed by linkage analysis to map a quantitative trait locus (QTL) on the distal end of chromosome 6 that regulates pubertal timing (as assessed by vaginal opening) in mice. The location of the QTL was then refined to a region between marker D6MIT59 and the end of the chromosome by generating and phenotyping a panel of 12 congenic strains, each with a unique and overlapping homozygous segment of the A/J chromosome on an otherwise uniform C57BL/6J genomic background. Additional characterization of the QTL indicated that the effects of the responsible gene(s) are gender specific and inherited in a codominant manner without parent-of-origin effects. These findings represent an important advancement toward identification of novel factors that regulate maturation of the hypothalamic-pituitary-gonadal axis and determine the timing of puberty.

Animals↗
PubMed2004

Quantitative trait locus mapping for age-related cataract severity and synechia prevalence using four-way cross mice.

PURPOSE: The goal of this study was to map mouse quantitative trait loci (QTL) that influence the development of murine age-related cataract and synechia, by using a genetically heterogeneous mouse population bred by a four-way cross. METHODS: The test population consisted initially of 510 mice bred as the progeny of (BALB/cJ x C57BL/6J)F1 females and (C3H/HeJ x DBA/2J)F1 males. Each mouse was examined by slit lamp at 18 and 24 months of age and scored for degree of lens opacity on a 0 to 4+ scale, and the presence or absence of additional anterior chamber disease was noted. The presence of synechia was confirmed by histology. Each mouse was genotyped at 96 maternal and 92 paternal loci, and the significance of association between genotype and eye lesions was tested by permutation analysis. RESULTS: Significant QTL with effects on lens opacity at 24 months were detected on mouse chromosomes 4, 11, and 12. The effects were additive, and severe cataracts were seen in 80% of the mice with all three high-risk alleles, but in only 28% of the mice with all three low-risk alleles. The risk of synechia was associated with paternal chromosome 1 and on both the maternal and paternally inherited chromosome 4. Mice with all three high-risk alleles had a 68% risk of synechia, compared with a 0% incidence in mice with all three counteralleles. CONCLUSIONS: A four-way cross population of mice can be used to map polymorphic loci that influence cataract severity and synechia prevalence in late life. The results provide a first step toward identification of the individual genes involved and may help to guide the search for homologous human genes.

Aging↗
PubMed2003

Domestication quantitative trait loci in Triticum dicoccoides, the progenitor of wheat.

Wild emmer wheat, Triticum dicoccoides, is the progenitor of modern tetraploid and hexaploid cultivated wheats. Our objective was to map domestication-related quantitative trait loci (QTL) in T. dicoccoides. The studied traits include brittle rachis, heading date, plant height, grain size, yield, and yield components. Our mapping population was derived from a cross between T. dicoccoides and Triticum durum. Approximately 70 domestication QTL effects were detected, nonrandomly distributed among and along chromosomes. Seven domestication syndrome factors were proposed, each affecting 5-11 traits. We showed: (i) clustering and strong effects of some QTLs; (ii) remarkable genomic association of strong domestication-related QTLs with gene-rich regions; and (iii) unexpected predominance of QTL effects in the A genome. The A genome of wheat may have played a more important role than the B genome during domestication evolution. The cryptic beneficial alleles at specific QTLs derived from T. dicoccoides may contribute to wheat and cereal improvement.

Alleles↗
PubMed2000

An integrated map of human 6q22.3-q24 including a 3-Mb high-resolution BAC/PAC contig encompassing a QTL for fetal hemoglobin.

Genetic studies have previously assigned a quantitative trait locus (QTL) for hemoglobin F and F cells to a region of approximately 4 Mb between the markers D6S408 and D6S292 on chromosome 6q23. An initial yeast artificial chromosome contig of 13 clones spanning this region was generated. Further linkage analysis of an extended kindred refined the candidate interval to 1-2 cM, and key recombination events now place the QTL within a region of <800 kb. We describe a high-resolution bacterial clone contig spanning 3 Mb covering this critical region. The map consists of 223 bacterial artificial chromosome (BAC) and 100 P1 artificial chromosome (PAC) clones ordered by sequence-tagged site (STS) content and restriction fragment fingerprinting with a minimum tiling path of 22 BACs and 1 PAC. A total of 194 STSs map to this interval of 3 Mb, giving an average marker resolution of approximately one per 15 kb. About half of the markers were novel and were isolated in the present study, including three CA repeats and 13 single nucleotide polymorphisms. Altogether 24 expressed sequence tags, 6 of which are unique genes, have been mapped to the contig.

Base Sequence↗
PubMed2000

An anchored AFLP- and retrotransposon-based map of diploid Avena.

A saturated genetic map of diploid oat was constructed based on a recombinant inbred (RI) population developed from a cross between Avena strigosa (Cereal Introduction, C.I. 3815) and A. wiestii (C.I. 1994). This 513-locus map includes 372 AFLP (amplified fragment length polymorphism) and 78 S-SAP (sequence-specific-amplification polymorphism) markers, 6 crown-rust resistance loci, 8 resistance-gene analogs (RGAs), one morphological marker, one RAPD (random amplified polymorphic DNA) marker, and is anchored by 45 grass-genome RFLP (restriction fragment length polymorphism) markers. This new A. strigosa x A. wiestii RI map is colinear with a diploid Avena map from an A. atlantica x A. hirtula F2 population. However, some linkage blocks were rearranged as compared to the RFLP map derived from the progenitor A. strigosa x A. wiestii F2 population. Mapping of Bare-1-like sequences via sequence-specific AFLP indicated that related retrotransposons had considerable heterogeneity and widespread distribution in the diploid Avena genome. Novel amplified fragments detected in the RI population suggested that some of these retrotransposon-like sequences are active in diploid Avena. Three markers closely linked to the Pca crown-rust resistance cluster were identified via AFLP-based bulk-segregant analysis. The derived STS (sequence-tagged-site) marker, Agx4, cosegregates with Pc85, the gene that provides resistance specificity to crown-rust isolate 202 at the end of the cluster. This framework map will be useful in gene cloning, genetic mapping of qualitative genes, and positioning QTL (quantitative trait loci) of agricultural importance.

Avena↗
PubMed2005

Type 2 diabetes mouse model TallyHo carries an obesity gene on chromosome 6 that exaggerates dietary obesity.

The TallyHo (TH) mouse strain is a polygenic model for Type 2 diabetes with obesity. Genetic analysis in backcross progeny from a cross between F1 [C57BL/6J (B6) x TH] and TH mice mapped a quantitative trait locus (QTL) named TH-associated body weight 2 (tabw2) to chromosome 6. The TH-derived allele is associated with increased body weight. As a first step to identify the molecular basis of this obesity QTL, we constructed a congenic line of mice on the B6 genetic background that carries a genomic region from TH mice containing tabw2. Congenic mice homozygous for tabw2 (B6.TH-tabw2/tabw2) fed a chow diet exhibited slightly, but significantly, higher body weight and body fat and plasma leptin levels compared with controls (B6.TH-+/+). This difference was exacerbated when the animals were maintained on a high-fat and high-sucrose (HFS) diet. The diet-induced obesity in tabw2 congenic mice is accompanied by hyperleptinemia, mild hyperinsulinemia, impaired glucose tolerance, and reduced glucose uptake in adipose tissue in response to insulin administration. Using F2 progeny fed a HFS diet from an intercross of B6.TH-tabw2/+ mice, we were able to refine the map position of the tabw2 obesity susceptibility locus to a 15-cM region (95% confidence interval) extending distally from the marker D6Mit102. In summary, tabw2 congenic mice are a new animal model for diet-induced obesity that will be valuable for the study of gene-diet interactions.

Alleles↗
PubMed1997

Are animal models of diabetes relevant to the study of the genetics of non-insulin-dependent diabetes in humans?

Although it is well-recognized that non-insulin-dependent diabetes-mellitus (NIDDM) shown a strong genetic component the search for candidate genes has been very difficult since NIDDM is a complex, heterogeneous, multifactorial syndrome resulting from both genetic susceptibility and environmental risk factors. Therefore, the use of inbred animal models is an essential component of genetic investigations in this field. As these lines are genetically homogeneous, it is possible to direct mating for optimal genetic crosses and control environmental factors. Strains with spontaneous NIDDM may be constituted from animals with one or several genetic mutation(s) transmitted generation to generation or selected from non-diabetic outbred animals by repeated breeding. The ob/ob and db/db mice, which are rodent models of NIDDM and obesity, belong to the first category. Recent studies using the positional cloning approach allowed the mapping of ob gene and identification of its product, leptin, which is a protein secreted by white adipose tissue and involved in the control of food intake. The db gene encodes the leptin receptor. The search for genetic linkage was undertaken in polygenic models, especially the Goto-Kakisaki (GK) rat which was obtained by selective breeding of individuals with glucose intolerance from a non-diabetic Wistar rat colony. Though precise definition of sub-phenotypes of glucose tolerance and insulin secretion, the mapping of microsatellite markers and QTL analysis, it has proved possible to identify many independent loci containing genes regulating glucose homeostasis and insulin secretion. In another polygenic model, the OLETF rat, a locus present on chromosome X was identified. Many complementary approaches in different strains may lead to the identification of candidate genes for NIDDM and help direct the search for candidate genes in humans who show synteny relationships with rodents.

Animals↗
PubMed2006

Haplotype-based quantitative trait mapping using a clustering algorithm.

BACKGROUND: With the availability of large-scale, high-density single-nucleotide polymorphism (SNP) markers, substantial effort has been made in identifying disease-causing genes using linkage disequilibrium (LD) mapping by haplotype analysis of unrelated individuals. In addition to complex diseases, many continuously distributed quantitative traits are of primary clinical and health significance. However the development of association mapping methods using unrelated individuals for quantitative traits has received relatively less attention. RESULTS: We recently developed an association mapping method for complex diseases by mining the sharing of haplotype segments (i.e., phased genotype pairs) in affected individuals that are rarely present in normal individuals. In this paper, we extend our previous work to address the problem of quantitative trait mapping from unrelated individuals. The method is non-parametric in nature, and statistical significance can be obtained by a permutation test. It can also be incorporated into the one-way ANCOVA (analysis of covariance) framework so that other factors and covariates can be easily incorporated. The effectiveness of the approach is demonstrated by extensive experimental studies using both simulated and real data sets. The results show that our haplotype-based approach is more robust than two statistical methods based on single markers: a single SNP association test (SSA) and the Mann-Whitney U-test (MWU). The algorithm has been incorporated into our existing software package called HapMiner, which is available from our website at http://www.eecs.case.edu/~jxl175/HapMiner.html. CONCLUSION: For QTL (quantitative trait loci) fine mapping, to identify QTNs (quantitative trait nucleotides) with realistic effects (the contribution of each QTN less than 10% of total variance of the trait), large samples sizes (>or= 500) are needed for all the methods. The overall performance of HapMiner is better than that of the other two methods. Its effectiveness further depends on other factors such as recombination rates and the density of typed SNPs. Haplotype-based methods might provide higher power than methods based on a single SNP when using tag SNPs selected from a small number of samples or some other sources (such as HapMap data). Rank-based statistics usually have much lower power, as shown in our study.

Algorithms↗
PubMed2006

Association genetics in Pinus taeda L. I. Wood property traits.

Genetic association is a powerful method for dissecting complex adaptive traits due to (i) fine-scale mapping resulting from historical recombination, (ii) wide coverage of phenotypic and genotypic variation within a single experiment, and (iii) the simultaneous discovery of loci and alleles. In this article, genetic association among single nucleotide polymorphisms (58 SNPs) from 20 wood- and drought-related candidate genes and an array of wood property traits with evolutionary and commercial importance, namely, earlywood and latewood specific gravity, percentage of latewood, earlywood microfibril angle, and wood chemistry (lignin and cellulose content), was tested using mixed linear models (MLMs) that account for relatedness among individuals by using a pairwise kinship matrix. Population structure, a common systematic bias in association studies, was assessed using 22 nuclear microsatellites. Different phenotype:genotype associations were found, some of them confirming previous evidence from collocation of QTL and genes in linkage maps (for example, 4cl and percentage of latewood) and two that involve nonsynonymous polymorphisms (cad SNP M28 with earlywood specific gravity and 4cl SNP M7 with percentage of latewood). The strongest genetic association found in this study was between allelic variation in alpha-tubulin, a gene involved in the formation of cortical microtubules, and earlywood microfibril angle. Intragenic LD decays rapidly in conifers; thus SNPs showing genetic association are likely to be located in close proximity to the causative polymorphisms. This first multigene association genetic study in forest trees has shown the feasibility of candidate gene strategies for dissecting complex adaptive traits, provided that genes belonging to key pathways and appropriate statistical tools are used. This approach is of particular utility in species such as conifers, where genomewide strategies are limited by their large genomes.

Chromosome Mapping↗
PubMed2006

Advances in cereal genomics and applications in crop breeding.

Recent advances in cereal genomics have made it possible to analyse the architecture of cereal genomes and their expressed components, leading to an increase in our knowledge of the genes that are linked to key agronomically important traits. These studies have used molecular genetic mapping of quantitative trait loci (QTL) of several complex traits that are important in breeding. The identification and molecular cloning of genes underlying QTLs offers the possibility to examine the naturally occurring allelic variation for respective complex traits. Novel alleles, identified by functional genomics or haplotype analysis, can enrich the genetic basis of cultivated crops to improve productivity. Advances made in cereal genomics research in recent years thus offer the opportunities to enhance the prediction of phenotypes from genotypes for cereal breeding.

Alleles↗