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At least 1,333 records · Page 74Linked to original sources
PubMed1997

Map positions of 47 Arabidopsis sequences with sequence similarity to disease resistance genes.

Map positions have been determined for 42 non-redundant Arabidopsis expressed sequence tags (ESTs) showing similarity to disease resistance genes (R-ESTs), and for three Pto-like sequences that were amplified with degenerate primers. Employing a PCR-based strategy, yeast artificial chromosome (YAC) clones containing the EST sequences were identified. Since many YACs have been mapped, the locations of the R-ESTs could be inferred from the map positions of the YACs. R-EST clones that exhibited ambiguous map positions were mapped as either cleavable amplifiable polymorphic sequence (CAPS) or restriction fragment length polymorphism (RFLP) markers using F8 (Ler x Col-0) recombinant inbred (RI) lines. In all cases but two, the R-ESTs and Pto-like sequences mapped to single, unique locations. One R-EST and one Pto-like sequence each mapped to two locations. Thus, a total of 47 loci were identified in this study. Several R-ESTs occur in clusters suggesting that they may have arisen via gene duplication events. Interestingly, several R-ESTs map to regions containing genetically defined disease resistance genes. Thus, this collection of mapped R-ESTs may expedite the isolation of disease resistance genes. As the cDNA sequencing projects have identified an estimated 63% of Arabidopsis genes, a very large number of R-ESTs (approximately 95), and by inference disease resistance genes of the leucine-rich repeat-class probably occur in the Arabidopsis genome.

Arabidopsis↗
PubMed1998

Development of an AFLP based linkage map of Ler, Col and Cvi Arabidopsis thaliana ecotypes and construction of a Ler/Cvi recombinant inbred line population.

An amplified fragment polymorphism (AFLP) based linkage map has been generated for a new Landsberg erecta/ Cape Verde Islands (Ler/Cvi) recombinant inbred line (RIL) population. A total of 321 molecular PCR based markers and the erecta mutation were mapped. AFLP markers were also analysed in the Landsberg erecta/Columbia (Ler/Col) RIL population (Lister and Dean, 1993) and 395 AFLP markers have been integrated into the previous Arabidopsis molecular map of 122 RFLPs, CAPSs and SSLPs. This enabled the evaluation of the efficiency and robustness of AFLP technology for linkage analyses in Arabidopsis. AFLP markers were found throughout the linkage map. The two RIL maps could be integrated through 49 common markers which all mapped at similar positions. Comparison of both maps led to the conclusion that segregating bands from a common parent can be compared between different populations, and that AFLP bands of similar molecular size, amplified with the same primer combination in two different ecotypes, are likely to correspond to the same locus. AFLPs were found clustering around the centromeric regions, and the authors have established the map position of the centromere of chromosome 3 by a quantitative analysis of AFLP bands using trisomic plants. AFLP markers were also used to estimate the polymorphism rate among the three ecotypes. The larger polymorphism rate found between Ler and Cvi compared to Ler and Col will mean that the new RIL population will provide a useful material to map DNA polymorphisms and quantitative trait loci.

Arabidopsis↗
PubMed2002

Insulin-like growth factor-1 effects on bovine retinal endothelial cell glucose transport: role of MAP kinase.

In order to maintain normal metabolism, the neuroretina is completely dependent on the constant delivery of glucose across the retinal microvascular endothelial cells comprising the inner blood-retinal barrier. Glucose uptake into these cells is influenced by various stimuli, including hypoxia and growth factors. Recently, insulin-like growth factor-1 (IGF-1) was shown to enhance retinal endothelial glucose transport in a process that is dependent on protein kinase C (PKC) and phosphatidylinositol-3 kinase (PI3 kinase). In the current study, the role of mitogen-activated protein kinase (MAP kinase) in regulating IGF-1 effects on retinal endothelial cell glucose transport was investigated in a bovine retinal endothelial cell (BREC) culture model. IGF-1 (25 ng/mL) caused a rapid increase in MAP-kinase activity and ERK phosphorylation. Inhibition of MAP kinase with PD98059 (100 microm) blocked IGF-1 enhancement of 2-deoxyglucose uptake. In order to clarify the relationship between PKC, PI3 kinase and MAP kinase in IGF-1 signaling in retinal endothelial cells, the effects of selective inhibitors of MAP kinase (PD98059), PKC (GF109203X), and PI3 kinase (wortmannin, LY294002) on signal transduction by IGF-1 were studied. Inhibition of MAP kinase abolished IGF-1 stimulation of PKC but had no effect on PI3 kinase activity, whereas inhibition of either PKC and PI3 kinase had no effect on MAP kinase phosphorylation or activity in IGF-1-treated cells. Taken together, these data demonstrate that IGF-1 stimulation of BREC glucose transport requires activation of MAP kinase and that MAP kinase is upstream from PKC but is independent of PI3 kinase in mediating the actions of IGF-1 on retinal endothelial cells.

Animals↗
PubMed2002

Properties of linkage disequilibrium (LD) maps.

A linkage disequilibrium map is expressed in linkage disequilibrium (LD) units (LDU) discriminating blocks of conserved LD that have additive distances and locations monotonic with physical (kb) and genetic (cM) maps. There is remarkable agreement between LDU steps and sites of meiotic recombination in the one body of data informative for crossing over, and good agreement with another method that defines blocks without assigning an LD location to each marker. The map may be constructed from haplotypes or diplotypes, and efficiency estimated from the empirical variance of LD is substantially greater for the rho metric based on evolutionary theory than for the absolute correlation r, and for the LD map compared with its physical counterpart. The empirical variance is nearly three times as great for the worst alternative (r and kb map) as for the most efficient approach (rho and LD map). According to the empirical variances, blocks are best defined by zero distance between included markers. Because block size is algorithm-dependent and highly variable, the number of markers required for positional cloning is minimized by uniform spacing on the LD map, which is estimated to have approximately equal 1 LDU per locus, but with much variation among regions. No alternative representation of linkage disequilibrium (some of which are loosely called maps) has these properties, suggesting that LD maps are optimal for positional cloning of genes determining disease susceptibility.

Chromosome Mapping↗
PubMed2004

Exceptional conservation of horse-human gene order on X chromosome revealed by high-resolution radiation hybrid mapping.

Development of a dense map of the horse genome is key to efforts aimed at identifying genes controlling health, reproduction, and performance. We herein report a high-resolution gene map of the horse (Equus caballus) X chromosome (ECAX) generated by developing and typing 116 gene-specific and 12 short tandem repeat markers on the 5,000-rad horse x hamster whole-genome radiation hybrid panel and mapping 29 gene loci by fluorescence in situ hybridization. The human X chromosome sequence was used as a template to select genes at 1-Mb intervals to develop equine orthologs. Coupled with our previous data, the new map comprises a total of 175 markers (139 genes and 36 short tandem repeats, of which 53 are fluorescence in situ hybridization mapped) distributed on average at approximately 880-kb intervals along the chromosome. This is the densest and most uniformly distributed chromosomal map presently available in any mammalian species other than humans and rodents. Comparison of the horse and human X chromosome maps shows remarkable conservation of gene order along the entire span of the chromosomes, including the location of the centromere. An overview of the status of the horse map in relation to mouse, livestock, and companion animal species is also provided. The map will be instrumental for analysis of X linked health and fertility traits in horses by facilitating identification of targeted chromosomal regions for isolation of polymorphic markers, building bacterial artificial chromosome contigs, or sequencing.

Animals↗
PubMed2004

Impact of population structure, effective bottleneck time, and allele frequency on linkage disequilibrium maps.

Genetic maps in linkage disequilibrium (LD) units play the same role for association mapping as maps in centimorgans provide at much lower resolution for linkage mapping. Association mapping of genes determining disease susceptibility and other phenotypes is based on the theory of LD, here applied to relations with three phenomena. To test the theory, markers at high density along a 10-Mb continuous segment of chromosome 20q were studied in African-American, Asian, and Caucasian samples. Population structure, whether created by pooling samples from divergent populations or by the mating pattern in a mixed population, is accurately bioassayed from genotype frequencies. The effective bottleneck time for Eurasians is substantially less than for migration out of Africa, reflecting later bottlenecks. The classical dependence of allele frequency on mutation age does not hold for the generally shorter time span of inbreeding and LD. Limitation of the classical theory to mutation age justifies the assumption of constant time in a LD map, except for alleles that were rare at the effective bottleneck time or have arisen since. This assumption is derived from the Malecot model and verified in all samples. Tested measures of relative efficiency, support intervals, and localization error determine the operating characteristics of LD maps that are applicable to every sexually reproducing species, with implications for association mapping, high-resolution linkage maps, evolutionary inference, and identification of recombinogenic sequences.

Alleles↗
PubMed2005

A map of the human genome in linkage disequilibrium units.

Two genetic maps with additive distances contribute information about recombination patterns, recombinogenic sequences, and discovery of genes affecting a particular phenotype. Recombination is measured in morgans (w) over a single generation in a linkage map but may cover thousands of generations in a linkage disequilibrium (LD) map measured in LD units (LDU). We used a subset of single nucleotide polymorphisms from the HapMap Project to create a genome-wide map in LDU. Recombination accounts for 96.8% of the LDU variance in chromosome arms and 92.4% in their deciles. However, deeper analysis shows that LDU/w, an estimate of the effective bottleneck time (t), is significantly variable among chromosome arms because (i) the linkage map is approximated from the Haldane function, then adjusted toward the Kosambi function that is more accurate but still exaggerates w for all chromosomes, especially shorter ones; (ii) the non-pseudoautosomal region of the X chromosome is subject to hemizygous selection; and (iii) at resolution less than approximately 40,000 markers per w, there are indeterminacies (holes) in the LD map reflecting intervals of very high recombination. Selection and stochastic variation in small regions must have effects, which remain to be investigated by comparisons among populations. These considerations suggest an optimal strategy to eliminate holes quickly, greatly enhance the resolution of sex-specific linkage maps, and maximize the gain in association mapping by using LD maps.

Chromosome Mapping↗
PubMed1992

Toward a cytogenetically based physical map of the wheat genome.

Bread wheat (Triticum aestivum L. em Thell) is well suited for cytogenetic analysis because the genome, buffered by polyploidy, can tolerate structurally and numerically engineered chromosomes for analysis over infinite generations. This feature of polyploidy can be used in developing a high-resolution, cytogenetically based physical map of the wheat genome. We show that numerous deletions, observed in the progeny of a monosomic addition of a chromosome from Triticum cylindricum in wheat, result from single breakpoints and a concomitant loss of distal fragments. Breakages occurred in euchromatic and heterochromatic regions. Forty-one deletions for chromosomes 7A, 7B, and 7D, and a set of genetically mapped DNA probes, were used to construct physical maps. Recombination was low in proximal chromosomal regions and very high toward the distal ends. Deletion mapping was more efficient than genetic mapping in resolving the order of proximal loci. Despite variation in size and arm ratio, relative gene position was largely conserved among chromosomes 7A, 7B, and 7D and a consensus group 7 physical map was constructed. Several molecularly tagged chromosome regions (MTCRs) of approximately one to a few million base pairs were identified that may be resolved by long-range mapping of DNA fragments. Thus, a cytogenetically based physical map may be used to integrate chromosome and DNA-based maps. The MTCRs may simplify strategies for cloning of agronomically useful genes despite the genetic complexity and the large genome size of wheat.

Blotting, Southern↗
PubMed1993

Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci.

It is now possible to use complete genetic linkage maps to locate major quantitative trait loci (QTLs) on chromosome regions. The current methods of QTL mapping (e.g., interval mapping, which uses a pair or two pairs of flanking markers at a time for mapping) can be subject to the effects of other linked QTLs on a chromosome because the genetic background is not controlled. As a result, mapping of QTLs can be biased, and the resolution of mapping is not very high. Ideally when we test a marker interval for a QTL, we would like our test statistic to be independent of the effects of possible QTLs at other regions of the chromosome so that the effects of QTLs can be separated. This test statistic can be constructed by using a pair of markers to locate the testing position and at the same time using other markers to control the genetic background through a multiple regression analysis. Theory is developed in this paper to explore the idea of a conditional test via multiple regression analysis. Various properties of multiple regression analysis in relation to QTL mapping are examined. Theoretical analysis indicates that it is advantageous to construct such a testing procedure for mapping QTLs and that such a test can potentially increase the precision of QTL mapping substantially.

Chromosome Mapping↗
PubMed1998

Automated high resolution optical mapping using arrayed, fluid-fixed DNA molecules.

New mapping approaches construct ordered restriction maps from fluorescence microscope images of individual, endonuclease-digested DNA molecules. In optical mapping, molecules are elongated and fixed onto derivatized glass surfaces, preserving biochemical accessibility and fragment order after enzymatic digestion. Measurements of relative fluorescence intensity and apparent length determine the sizes of restriction fragments, enabling ordered map construction without electrophoretic analysis. The optical mapping system reported here is based on our physical characterization of an effect using fluid flows developed within tiny, evaporating droplets to elongate and fix DNA molecules onto derivatized surfaces. Such evaporation-driven molecular fixation produces well elongated molecules accessible to restriction endonucleases, and notably, DNA polymerase I. We then developed the robotic means to grid DNA spots in well defined arrays that are digested and analyzed in parallel. To effectively harness this effect for high-throughput genome mapping, we developed: (i) machine vision and automatic image acquisition techniques to work with fixed, digested molecules within gridded samples, and (ii) Bayesian inference approaches that are used to analyze machine vision data, automatically producing high-resolution restriction maps from images of individual DNA molecules. The aggregate significance of this work is the development of an integrated system for mapping small insert clones allowing biochemical data obtained from engineered ensembles of individual molecules to be automatically accumulated and analyzed for map construction. These approaches are sufficiently general for varied biochemical analyses of individual molecules using statistically meaningful population sizes.

Animals↗
PubMed2002

MAP kinase stimulation by cAMP does not require RAP1 but SRC family kinases.

The small G protein RAP1 and the kinase B-RAF have been proposed to link elevations of cAMP to activation of ERK/mitogen-activated protein (MAP) kinase. In order to delineate signaling pathways that link receptor-generated cAMP to the activation of MAP kinase, the human A(2A)-adenosine receptor, a prototypical G(s)-coupled receptor, was heterologously expressed in Chinese hamster ovary cells (referred as CHO-A(2A) cells). In CHO-A(2A) cells, the stimulation of the A(2A)-receptor resulted in an activation of RAP1 and formation of RAP1-B-RAF complexes. However, overexpression of a RAP1 GTPase-activating protein (RAP1GAP), which efficiently clamped cellular RAP1 in the inactive GDP-bound form, did not affect A(2A)-agonist-mediated MAP kinase stimulation. In contrast, the inhibitor of protein kinase A H89 efficiently suppressed A(2A)-agonist-mediated MAP kinase stimulation. Neither dynamin-dependent receptor internalization nor receptor-promoted shedding of matrix-bound growth factors accounted for A(2A)-receptor-dependent MAP kinase activation. PP1, an inhibitor of SRC family kinases, blunted both the A(2A)-receptor- and the forskolin-induced MAP kinase stimulation (IC(50) = 50 nm); this was also seen in PC12 cells, which express the A(2A)-receptor endogenously, and in NIH3T3 fibroblasts, in which cAMP causes MAP kinase stimulation. In the corresponding murine fibroblast cell line SYF, which lacks the ubiquitously expressed SRC family kinases SRC, YES, and FYN, forskolin barely stimulated MAP kinase; this reduction was reversed in cells in which c-SRC had been reintroduced. These findings show that activation of MAP kinase by cAMP requires a SRC family kinase that lies downstream of protein kinase A. A role for RAP1, as documented for the beta(2)-adrenergic receptor, is apparently contingent on receptor endocytosis.

3T3 Cells↗
PubMedDate not supplied

Surname distribution in France: a distance analysis by a distorted geographical map.

The distribution of surnames in 90 distinct regions in France during two successive periods, 1889-1915 and 1916-1940, is analysed from the civil birth registers of the 36,500 administrative units in France. A new approach, called 'Mobile Site Method' (MSM), is developed to allow representation of a surname distance matrix by a distorted geographical map. A surname distance matrix between the various regions in France is first calculated, then a distorted geographical map called the 'surname similarity map' is built up from the surname distances between regions. To interpret this map we draw (a) successive map contours obtained during the step-by-step distortion process, revealing zones of high surname dissimilarity, and (b) maps in grey levels representing the displacement magnitude, and allowing the segmentation of the geographical and surname maps into 'homogeneous surname zones'. By integrating geography and surname information in the same analysis, and by comparing results obtained for the two successive periods, the MSM approach produces convenient maps showing: (a) 'regionalism' of some peripheral populations such as Pays Basque, Alsace, Corsica and Brittany; (b) the presence of preferential axes of communications (Rhodanian corridor, Garonne valley); (c) barriers such as the Central Massif, Vosges; (d) the weak modifications of the distorted maps associated with the two periods studied suggest an extension (but limited) of the tendency of surname uniformity in France. These results are interpreted, in the nineteenth- and twentieth century context, as the consequences of a slow process of local migrations occurring over a long period of time.

France↗
PubMed1998

Designs of reference families for the construction of genetic linkage maps.

The reference family panel is the foundation of a gene mapping program because it affects the cost and quality of the genetic linkage maps, and should be designed to yield reliable linkage detection and locus ordering at minimal gene mapping cost. A map cost function was defined as the number of genotypes required per marker per unit of genome coverage and was used to obtain optimal designs with respect to linkage detection. An ordering reliability function was defined as the likelihood ratio of the most likely order to the second most likely order of genetic markers and was used to find optimal designs with respect to locus ordering. Optimum levels of recombination frequency were found to be in the neighborhood of 0.11-0.15 for linkage detection and were in the region of 0.05-0.20 for locus ordering. Therefore, recombination frequencies optimal for linkage detection are also optimal for locus ordering. Based on the optimal detection levels, sample size (number of offspring) and map cost requirements were derived for six representative designs, assuming gender-specific linkage maps and two alleles with equal frequency for each marker. The sample size required for linkage detection ranged from 168 to 432 offspring for full-sib designs and ranged from 350 to 600 offspring for half-sib designs depending on the family size and the target LOD score, with corresponding minimal map costs of 10-20 genotypes per marker per centiMorgan map coverage. Locus ordering generally requires more genotypes than linkage detection. For full-sib designs, meioses from both genders should be used for locus ordering even when the maps are gender-specific. For half-sib designs, additional families may be needed for locus ordering. Sample size for ordering closely linked loci as required by positional cloning were provided. Effects of family size, grandparents, and marker polymorphism on design efficiency were analyzed.

Chromosome Mapping↗
PubMed2004

A high-density admixture map for disease gene discovery in african americans.

Admixture mapping (also known as "mapping by admixture linkage disequilibrium," or MALD) provides a way of localizing genes that cause disease, in admixed ethnic groups such as African Americans, with approximately 100 times fewer markers than are required for whole-genome haplotype scans. However, it has not been possible to perform powerful scans with admixture mapping because the method requires a dense map of validated markers known to have large frequency differences between Europeans and Africans. To create such a map, we screened through databases containing approximately 450000 single-nucleotide polymorphisms (SNPs) for which frequencies had been estimated in African and European population samples. We experimentally confirmed the frequencies of the most promising SNPs in a multiethnic panel of unrelated samples and identified 3011 as a MALD map (1.2 cM average spacing). We estimate that this map is approximately 70% informative in differentiating African versus European origins of chromosomal segments. This map provides a practical and powerful tool, which is freely available without restriction, for screening for disease genes in African American patient cohorts. The map is especially appropriate for those diseases that differ in incidence between the parental African and European populations.

Black or African American↗
PubMed2004

Statistical tests for admixture mapping with case-control and cases-only data.

Admixture mapping is a promising new tool for discovering genes that contribute to complex traits. This mapping approach uses samples from recently admixed populations to detect susceptibility loci at which the risk alleles have different frequencies in the original contributing populations. Although the idea for admixture mapping has been around for more than a decade, the genomic tools are only now becoming available to make this a feasible and attractive option for complex-trait mapping. In this article, we describe new statistical methods for analyzing multipoint data from admixture-mapping studies to detect "ancestry association." The new test statistics do not assume a particular disease model; instead, they are based simply on the extent to which the sample's ancestry proportions at a locus deviate from the genome average. Our power calculations show that, for loci at which the underlying risk-allele frequencies are substantially different in the ancestral populations, the power of admixture mapping can be comparable to that of association mapping but with a far smaller number of markers. We also show that, although "ancestry informative markers" (AIMs) are superior to random single-nucleotide polymorphisms (SNPs), random SNPs can perform quite well when AIMs are not available. Hence, researchers who study admixed populations in which AIMs are not available can perform admixture mapping with the use of modestly higher densities of random markers. Software to perform the gene-mapping calculations, "MALDsoft," is freely available on the Pritchard Lab Web site.

Chromosome Mapping↗
PubMed2004

Ethnicity and human genetic linkage maps.

Human genetic linkage maps are based on rates of recombination across the genome. These rates in humans vary by the sex of the parent from whom alleles are inherited, by chromosomal position, and by genomic features, such as GC content and repeat density. We have examined--for the first time, to our knowledge--racial/ethnic differences in genetic maps of humans. We constructed genetic maps based on 353 microsatellite markers in four racial/ethnic groups: whites, African Americans, Mexican Americans, and East Asians (Chinese and Japanese). These maps were generated using 9,291 subjects from 2,900 nuclear families who participated in the National Heart, Lung, and Blood Institute-funded Family Blood Pressure Program, the largest sample used for map construction to date. Although the maps for the different groups are generally similar, we did find regional and genomewide differences across ethnic groups, including a longer genomewide map for African Americans than for other populations. Some of this variation was explained by genotyping artifacts--namely, null alleles (i.e., alleles with null phenotypes) at a number of loci--and by ethnic differences in null-allele frequencies. In particular, null alleles appear to be the likely explanation for the excess map length in African Americans. We also found that nonrandom missing data biases map results. However, we found regions on chromosome 8p and telomeric segments with significant ethnic differences and a suggestive interval on chromosome 12q that were not due to genotype artifacts. The difference on chromosome 8p is likely due to a polymorphic inversion in the region. The results of our investigation have implications for inferences of possible genetic influences on human recombination as well as for future linkage studies, especially those involving populations of nonwhite ethnicity.

Black or African American↗
PubMed1998

Mapplet: a CORBA-based genome map viewer.

MOTIVATION: There are a large number of genetic and physical maps, distributed at many sites. Each site offers different kinds of access methods and viewers. CORBA, the de facto standard for distributed object-oriented computing, offers new opportunities to unify the view on these maps through standard interfaces. A collaboration of Infobiogen and the EBI proposes a common IDL for maps. RESULTS: A CORBA map viewer is presented which serves as a proof of concept for the proposed IDL. It demonstrates its usefulness in the context of map viewing and its ability to handle large maps with <1000 markers. The viewer gives access to the maps of the Radiation Hybrid Database at EBI. It gives a quick overview of several large maps side by side. The marker density at each map position is displayed and different marker types can be highlighted. AVAILABILITY: Demonstration and source code at: http://sunny.ebi.ac.uk/ approximately jungfer/Mapplet CONTACT: jungfer@ebi.ac.uk

Chromosome Mapping↗
PubMed1992

Dynamic programming algorithms for restriction map comparison.

For most sequence comparison problems there is a corresponding map comparison algorithm. While map data may appear to be incompatible with dynamic programming, we show in this paper that the rigor and efficiency of dynamic programming algorithms carry over to the map comparison algorithms. We present algorithms for restriction map comparison that deal with two types of map errors: (i) closely spaced sites for different enzymes can be ordered incorrectly, and (ii) closely spaced sites for the same enzyme can be mapped as a single site. The new algorithms are a natural extension of a previous map comparison model. Dynamic programming algorithms for computing optimal global and local alignments under the new model are described. The new algorithms take about the same order of time as previous map comparison algorithms. Programs implementing some of the new algorithms are used to find similar regions within the Escherichia coli restriction map of Kohara et al.

Algorithms↗