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Results for “Genetic mapping”

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At least 37 records · Page 2Linked to original sources
PubMed1994

Genetic mapping of two loci, DXS454 and DXS458, with respect to the X-linked agammaglobulinemia gene locus.

The dinucleotide repeat sequences at the DXS454 and DXS458 loci have been mapped genetically to Xq22, to the interval between DXS3 and DXS17. We have now mapped them with respect to XLA and five other loci, to within the DXS3 to XLA interval. The more precise localisation of these polymorphic loci will be useful for the fine-mapping of disease loci on the long arm of the X chromosome and enable these probes to be used for prenatal diagnosis and carrier status determination in families with XLA.

Agammaglobulinemia↗
PubMed1976

A morphological and genetic mapping study of bald colony mutants of Streptomyces coelicolor.

Twelve bld mutations of Streptomyces coelicolor resulting in a lack of visible aerial mycelium were mapped genetically. The mutants were classified into three groups on the basis of colony morphology, production of antibiotics and morphology on different carbon sources. Four map locations were found for the bld genes and three of these were very near the loci of whi genes, which are also involved in differentiation. Closely linked bld mutations had similar phenotypes.

Anti-Bacterial Agents↗
PubMed2000

A chromosome-based model for estimating the number of conserved segments between pairs of species from comparative genetic maps.

Comparative genetic maps of two species allow insights into the rearrangements of their genomes since divergence from a common ancestor. When the map details the positions of genes (or any set of orthologous DNA sequences) on chromosomes, syntenic blocks of one or more genes may be identified and used, with appropriate models, to estimate the number of chromosomal segments with conserved content conserved between species. We propose a model for the distribution of the lengths of unobserved segments on each chromosome that allows for widely differing chromosome lengths. The model uses as data either the counts of genes in a syntenic block or the distance between extreme members of a block, or both. The parameters of the proposed segment length distribution, estimated by maximum likelihood, give predictions of the number of conserved segments per chromosome. The model is applied to data from two comparative maps for the chicken, one with human and one with mouse.

Animals↗
PubMed1998

Towards second-generation STS (sequence-tagged sites) linkage maps in conifers: a genetic map of Norway spruce (Picea abies K.).

Genetic linkage maps have been produced for a wide range of organisms during the last decade, thanks to the increasing availability of molecular markers. The use of microsatellites (or Simple Sequence Repeats, SSRs) as genetic markers has led to the construction of "second-generation" genetic maps for humans, mouse and other organisms of major importance. We constructed a second-generation single-tree genetic linkage map of Norway spruce (Picea abies K.) using a panel of 72 haploid megagametophytes with a total of 447 segregating bands [366 Amplified Fragment Length Polymorphisms (AFLPs), 20 Selective Amplification of Microsatellite Polymorphic Loci (SAMPLs) and 61 SSRs, each single band being treated initially as a dominant marker]. Four hundred and thirteen markers were mapped in 29 linkage groups (including triplets and doublets) covering a genetic length of 2198.3 cM, which represents 77.4% of the estimated genome length of Picea abies (approximately 2839 cM). The map is still far from coalescing into the expected 12 chromosomal linkage groups of Norway spruce (2n = 2x = 24). A possible explanation for this comes from the observed non-random distribution of markers in the framework map. Thirty-eight SSR marker loci could be mapped onto 19 linkage groups. This set of highly informative Sequence Tagged Sites (STSs) can be used in many aspects of genetic analysis of forest trees, such as marker-assisted selection, QTL mapping, positional cloning, gene flow analysis, mating system analysis and genetic diversity studies.

Chromosome Mapping↗
PubMed1976

Genetic studies of coliphage P1. III. Extended genetic map.

An extensive genetic map of coliphage P1 has been constructed for 113 amber mutants, using primarily a modification of the conventional complementation spot test. These spot tests failed to classify the mutants into cistrons, but when they were quantitated they permitted assignment of the mutants into 10 linkage clusters. Furthermore, a linear order could be deduced for most of the mutants within each cluster. This strongly suggested that recombination was the predominant event generating plaques and that, for the practical purpose of rapid genetic mapping, such spot tests could be considered as a series of two-factor crosses. Six of the 10 linkage clusters correlated with the P1 genetic map established by Scott (1968). The locations of the remaining four clusters were determined by three-factor crosses and by prophage deletion mapping. The nonrandom occurrence of termini for 14 deletion prophages, which we established previously (Walker and Walker, 1975), and the coincidence of these termini with five out of ten regions demarcating the linkage clusters are discussed. Complementation tests in liquid frequently gave ambiguous results. Therefore, cistron designations were not assigned.

Chromosome Mapping↗
PubMed2002

Spline methods for the comparison of physical and genetic maps.

The first genetic maps were constructed by linkage analysis. Physical mapping techniques, such as radiation hybrids and complete sequencing, produce a different picture. For the purposes of population genetics, clinical genetics, and genetic epidemiology, it is important to harmonize and amalgamate existing genetic and physical maps. Among other things, comparisons of the two kinds of maps promotes better understanding of the wide variation in local recombination rates per unit physical length of DNA. The current paper presents methods for estimating recombination intensity as a function of physical distance along a chromosome. Genetic map distance is the integral of intensity. We derive fast reliable estimation algorithms based on a Poisson process model, penalized likelihoods, and cubic spline interpolation. Our methods provide a rigorous and statistically sound foundation for comparing physical and genetic maps. To illustrate the possibilities, we apply the methods to published recombination data on CEPH families and the complete sequences of chromosomes 21 and 22. Our results are in good agreement with previous studies and the biological data.

Algorithms↗
PubMed1997

Bi-dimensional scaling map (BDS-Map): an approach for building large genetic maps.

MOTIVATION: The approaches usually used for building large genetic maps consist of dividing the marker set into linkage groups and provide local orders that can be tested by multi-point linkage analysis. To deal with the limitations of these approaches, a strategy taking the marker set into account globally is defined. RESULTS: The paper presents a new approach called 'Bi-Dimensional Scaling Map (BDS-Map) for inferring marker orders and distances in genetic maps based on the use of an additional dimension orthogonal to the map into which markers are projected. Dynamical forces based on a two-point analysis are applied to tend to optimize the marker locations in space. The efficiency of the approach is exemplified on real data (16 and 70 markers on chromosomes 6 and 2, respectively) and simulated data (50 maps of 70 markers).

Algorithms↗
PubMed1996

On genetic map functions.

Various genetic map functions have been proposed to infer the unobservable genetic distance between two loci from the observable recombination fraction between them. Some map functions were found to fit data better than others. When there are more than three markers, multilocus recombination probabilities cannot be uniquely determined by the defining property of map functions, and different methods have been proposed to permit the use of map functions to analyze multilocus data. If for a given map function, there is a probability model for recombination that can give rise to it, then joint recombination probabilities can be deduced from this model. This provides another way to use map functions in multilocus analysis. In this paper we show that stationary renewal processes give rise to most of the map functions in the literature. Furthermore, we show that the interevent distributions of these renewal processes can all be approximated quite well by gamma distributions.

Chromosome Mapping↗
PubMed1994

Physical mapping of 38 highly informative genetic markers to 10 intervals of chromosome 11q: integration of the physical and genetic maps.

A large number of highly polymorphic microsatellite markers particularly suitable for genetic linkage analysis have recently been developed. In order to facilitate integration of the genetic maps of chromosome 11q generated using these types of markers with the physical maps of 11q currently being assembled, we have regionally assigned the Genethon markers and the 11q designated index plus other commonly used polymorphic markers to ten physical intervals of 11q. These intervals are defined by translocation breakpoints immortalized in somatic cell hybrid lines and can therefore serve as readily accessible and stable landmarks for detailed map integration and facilitate the derivation and placement of new markers and cloned contigs.

Chromosome Mapping↗
PubMed2005

Construction of a combined physical and genetic map of the chromosome of Lactobacillus acidophilus ATCC 4356 and characterization of the rRNA operons.

The combination of PFGE and hybridization approaches was used to study the genome of Lactobacillus acidophilus neotype strain ATCC 4356. PFGE analysis of chromosomal DNA after digestion with each of the rare-cutting restriction enzymes I-CeuI, NotI, CspI, SmaI, ApaI and SgrAI allowed the size of the circular chromosome of L. acidophilus to be estimated at 2.061 Mbp. The physical map contained 86 restriction sites for the six enzymes employed, with intervals between the sites varying from 1 to 88 kbp (approximately 0.05-4.3 % of the chromosome). Based on the physical map, a genetic map was constructed via Southern blot analyses of L. acidophilus DNA using specific gene probes. A total of 73 probes representing key genes, including 12 rRNA (rrn) genes, were positioned on the latter map. Mapping analysis also indicated the presence of four rrn operons (rrnA-D) on the chromosome, each containing a single copy of each of the three rrn genes 16S (rrl), 23S (rrs) and 5S (rrf). Operon rrnD was inverted in orientation with respect to the others and contained a long 16S-23S intergenic spacer region with tRNAIle and tRNAAla genes, whereas the other operons contained a short spacer lacking any tRNA genes. The high-resolution physical/genetic map constructed in this study provides a platform for genomic and genetic studies of Lactobacillus species and for improving industrial and probiotic strains.

Chromosome Mapping↗
PubMed1994

Genetic mapping of 14 short tandem repeat polymorphisms on human chromosome 22.

We have constructed a linkage map of 14 short tandem repeat polymorphisms (11 with heterozygosity > 70%) on the long arm of human chromosome 22 using 23 non-CEPH pedigrees. Twelve of the markers could be positioned uniquely with a likelihood of at least 1,000:1, and distributed at an average distance of 6.62 cM (range 1.5-16.1 cM). The sex-combined map covers a total of 79.6 cM, the female map 93.2 cM and the male map 64.6 cM. Based on comparisons between physical maps and other genetic maps, we estimate that our map covers 70%-80% of the chromosome. The map integrates markers from previous genetic maps and uniquely positions one marker (D22S307). Data from physical mapping on the location of four genetic markers correlates well with our linkage map, and provides information on an additional marker (D22S315). This map will facilitate high resolution mapping of additional polymorphic loci and disease genes on chromosome 22, and act as a reference for building and verifying physical maps.

Chromosome Mapping↗
PubMed2003

Genetic maps of microsatellite and single-nucleotide polymorphism markers: are the distances accurate?

Genetic maps play an important role in gene mapping. Inaccurate genetic maps can hinder gene mapping by biasing lod scores and reducing the power to map a trait to a particular region. Although sequence-based physical maps can provide a unique order for markers, they do not provide information on genetic map distances. By simulation studies, I investigated how many meioses are necessary to accurately estimate genetic map distances for maps constructed from microsatellite and single-nucleotide polymorphism (SNP) markers for various intermarker distances and marker heterozygosity. To evaluate the accuracy of the generated genetic maps, the length of the 95% confidence interval for intermarker genetic distances was examined. In addition, the power to separate two adjacent markers by a nonzero map distance was investigated. The number of meioses necessary to accurately estimate map distances depends greatly not only on intermarker distances but also on marker heterozygosity. For example, for a genetic map with intermarker distances of 0.5 cM generated with 1,000 meioses, when marker heterozygosity was high (0.90), for 96% of the markers there was a nonzero map distance between adjacent markers. However, when marker heterozygosity was low (0.32), only 48% of the markers mapped to a unique position. For identical numbers of meioses and intermarker distances, genetic maps constructed from microsatellite markers will be more precise than maps assembled from SNP markers, due to the higher levels of heterozygosity for microsatellite markers.

Adult↗
PubMed1993

Genetic maps of eight linkage groups of Aspergillus niger based on mitotic mapping.

This paper provides a genetic map of Aspergillus niger. At present 84 markers have been assigned to eight linkage groups. The chromosomal location of 60 markers is presented in this paper. The allocation of markers is based on recombination due to mitotic crossing over. Various methods for selection and analysis of homozygous recombinants were applied, using colour, auxotrophic and resistance markers. In addition, transformants carrying the heterologous Aspergillus nidulans gene coding for acetamidase (amdS) were used for mitotic mapping of markers in several linkage groups. In most of the transformants the amdS insert appeared to be centromere-distal to all known genetic markers, thus extending the genetic map. The linear order of the markers in the eight linkage groups has been determined. On the basis of these and earlier experiments tentative genetic maps for the eight linkage groups are presented. Genetic markers were found on both arms of the chromosomes, except for chromosomes II and IV. The genetic distance between markers and the centromere varies from about 10(-4) (LG I, II, V) up to more than 10(-2) (LG III, VI, VIII). The total frequency of mitotic recombination per genome in this fungus has been estimated to be at least 1.2 x 10(-1).

Amidohydrolases↗
PubMed2000

Integration of genetic maps by polynomial transformations.

Currently available genetic maps differ in a variety of basic features; in particular, with respect to the total length of the genome. Consequently, the question arises as to the extent to which genetic maps are compatible to each other, as well as to the methods with which genetic maps can be transformed into one another. We propose a set of nonlinear, polynomial transformations that enable the integration of genetic maps at a sufficiently high overall precision. Our analysis of six major, publicly available maps, and iteratively optimized polynomials of up to degree 5, yielded differences of </= +/-0.8 cM between empirical and reconstructed marker locations for >90% of points. Similarly, we determined, at a slightly worse overall fit, those polynomials that enabled the reconstruction of sex-specific recombination estimates from sex-averaged data. Our results suggest that polynominal transformations may become a valuable extension of standard map construction methods due to a rapid integration of newly developed markers into existing maps. Am. J. Med. Genet. (Neuropsychiatr. Genet.) 96:108-113, 2000.

Chromosome Mapping↗
PubMed2001

[Genetic map and some problems in its mapping and usage].

Since 1980, with the development of genetic theories and emergence of new experimental equipment and techniques, genetic mapping has undergone three phases, from restriction fragment length polymorphism, short tandem repeats, to single nucleotide polymorphisms. The content of in the genetic map becomes more and more informative. So far, the mapping work has nearly ended, however, the effort to explore new SNPs locus still continues. The genetic map has begun to serve other research purposes and has come to be an indispensable tool to fulfill the "functional genome project". In this review are introduced the development of genetic map and the genetic maps constructed with three groups of main genetic marker. Based on these is a summary of the usage of genetic maps and some problems that deserve attention in the use of genetic map, such as the choice of genetic markers and the affection of chiasma interference.

Chromosome Mapping↗
PubMed1983

Circular genetic map of satellite bacteriophage P4.

A genetic map of satellite bacteriophage P4 has been constructed by means of standard multifactor crosses. The genetic map appears to be a circular permutation of the mature DNA physical map. In addition, a set of markers appear to be linked both to the left and to the right of the same gene alpha. These facts suggest that the P4 genetic map is circular. Since terminal redundancy and/or cyclic permutation are not known to be present in P4 mature DNA, the circularity of P4 genetic map may reflect the physical circularity of the molecules involved in the recombination process. The low frequency of recombination and the strong negative interference observed are in agreement with the above hypothesis.

Coliphages↗