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Continuous linkage map of human chromosome 14 short tandem repeat polymorphisms.

Nine moderately to highly informative short tandem repeat polymorphisms were assigned to chromosome 14 using somatic cell hybrids and were mapped using linkage analysis. The nine markers formed a continuous linkage map covering almost the entire long arm from 14q11.2 to q32. The markers filled a large gap within previously reported linkage maps for this chromosome. Best order of the new loci from q11.2 to q32 was D14S50, D14S54, D14S49, D14S47, D14S52, D14S53, D14S55, D14S48, and D14S51. The order shown for all adjacent pairs of loci was very strongly favored with the exception of loci pair D14S55 and D14S48, for which the order was moderately favored. Map lengths for the nine loci were 142 cM in females and 72 cM in males. Female recombination frequencies exceeded male recombination frequencies in the middle and distal portions of the map.

Alleles↗

A genetic linkage map of rat chromosome 5 reveals extensive linkage conservation with mouse chromosome 4.

Linkages among three biochemical loci (Aco1, Ahd2, and Mup1) and four microsatellite loci (A8, Glut1, Jun, and Pnd) were determined to construct a linkage map of rat Chromosome (Chr) 5. Consequently, an extensive linkage map on rat Chr 5 was constructed with the following gene order: A8-Aco1-Mup1-Jun-Glut1-Ahd2-Pnd. In this linkage map, the Jun and A8 loci are newly placed, and two previously reported linkage groups on rat Chr 5 are connected by the Jun locus. The linkage map indicates an extensive linkage conservation between the loci on rat Chr 5 and those on mouse Chr 4.

Animals↗

[Current status and future perspective of genetic linkage mapping in aquaculture species].

Constructing genetic linkage map is an essential tool to acknowledge genome in aquaculture species. This paper has reviewed the current status of genetic linkage map research, including mapping population, mapping method and molecular markers used to construct linkage map. Linkage map has great potential in marker assisted selection (MAS), gene locating and cloning, and comparative genome mapping. Genetic linkage map with high density and wide coverage of genome will allow cloning the genes which contribute to economically important traits. The ultimate aim of the constructing linkage map is the development of fast-growing, disease-resistant strains of the major aquaculture species.

Animals↗

The second generation of the International Equine Gene Mapping Workshop half-sibling linkage map.

A low-density, male-based linkage map was constructed as one of the objectives of the International Equine Gene Mapping Workshop. Here we report the second generation map based on testing 503 half-sibling offspring from 13 sire families for 344 informative markers using the CRIMAP program. The multipoint linkage analysis localized 310 markers (90%) with 257 markers being linearly ordered. The map included 34 linkage groups representing all 31 autosomes and spanning 2262 cM with an average interval between loci of 10.1 cM. This map is a milestone in that it is the first map with linkage groups assigned to each of the 31 automosomes and a single linkage group to all but three chromosomes.

Animals↗

International Equine Gene Mapping Workshop Report: a comprehensive linkage map constructed with data from new markers and by merging four mapping resources.

A comprehensive male linkage map was generated by adding 359 new, informative microsatellites to the International Equine Gene Map half-sibling reference families and by combining genotype data from three independent mapping resources: a full sibling family created at the Animal Health Trust in Newmarket, United Kingdom, eight half-sibling families from Sweden and two half-sibling families from the University of California, Davis. Because the combined data were derived primarily from half-sibling families, only autosomal markers were analyzed. The map was constructed from a total of 766 markers distributed on the 31 equine chromosomes. It has a higher marker density than that of previously reported maps, with 626 markers linearly ordered and 140 other markers assigned to a chromosomal region. Fifty-nine markers (7%) failed to meet the criteria for statistical evidence of linkage and remain unassigned. The map spans 3,740 cM with an average distance of 6.3 cM between markers. Fifty-five percent of the intervals are < or = 5 cM and only 3% > or = 20 cM. The present map demonstrates the cohesiveness of the different data sets and provides a single resource for genome scan analyses and integration with the radiation hybrid map.

Animals↗

Centromere mapping and orientation of the molecular linkage map of rice (Oryza sativa L.).

Rice has become a model cereal plant for molecular genetic research. Rice has the most comprehensive molecular linkage maps with more than 2000 DNA markers and shows synteny and colinearity with the maps of other cereal crops. Until now, however, no information was available about the positions of centromeres and arm locations of markers on the molecular linkage map. Secondary and telotrisomics were used to assign restriction fragment length polymorphism markers to specific chromosome arms and thereby to map the positions of centromeres. More than 170 restriction fragment length polymorphism markers were assigned to specific chromosome arms through gene dosage analysis using the secondary and telotrisomics and the centromere positions were mapped on all 12 linkage groups. The orientations of seven linkage groups were reversed to fit the "short arm on top" convention and the corrected map is presented.

Centromere↗

MAP-O-MAT: internet-based linkage mapping.

UNLABELLED: MAP-O-MAT is a web-based server for automated linkage mapping of human polymorphic DNA markers. MAP-O-MAT facilitates the verification of order and map distances for custom mapping sets using genotype data from the CEPH database, and from the Marshfield, SNP Consortium and Rutgers linkage maps (exclusive to the deCODE genotyping data). The CRI-MAP program is used for likelihood calculations and some mapping algorithms, and physical map positions are provided from the human genome assembly. AVAILABILITY: MAP-O-MAT is located at http://compgen.rutgers.edu/mapomat/ CONTACT: matise@biology.rutgers.edu.

Chromosome Mapping↗

A novel method for estimating linkage maps.

The goal of linkage mapping is to find the true order of loci from a chromosome. Since the number of possible orders is large even for a modest number of loci, the problem of finding the optimal solution is known as a NP-hard problem or traveling salesman problem (TSP). Although a number of algorithms are available, many either are low in the accuracy of recovering the true order of loci or require tremendous amounts of computational resources, thus making them difficult to use for reconstructing a large-scale map. We developed in this article a novel method called unidirectional growth (UG) to help solve this problem. The UG algorithm sequentially constructs the linkage map on the basis of novel results about additive distance. It not only is fast but also has a very high accuracy in recovering the true order of loci according to our simulation studies. Since the UG method requires n-1 cycles to estimate the ordering of n loci, it is particularly useful for estimating linkage maps consisting of hundreds or even thousands of linked codominant loci on a chromosome.

Algorithms↗

Selective mapping: a strategy for optimizing the construction of high-density linkage maps.

Historically, linkage mapping populations have consisted of large, randomly selected samples of progeny from a given pedigree or cell lines from a panel of radiation hybrids. We demonstrate that, to construct a map with high genome-wide marker density, it is neither necessary nor desirable to genotype all markers in every individual of a large mapping population. Instead, a reduced sample of individuals bearing complementary recombinational or radiation-induced breakpoints may be selected for genotyping subsequent markers from a large, but sparsely genotyped, mapping population. Choosing such a sample can be reduced to a discrete stochastic optimization problem for which the goal is a sample with breakpoints spaced evenly throughout the genome. We have developed several different methods for selecting such samples and have evaluated their performance on simulated and actual mapping populations, including the Lister and Dean Arabidopsis thaliana recombinant inbred population and the GeneBridge 4 human radiation hybrid panel. Our methods quickly and consistently find much-reduced samples with map resolution approaching that of the larger populations from which they are derived. This approach, which we have termed selective mapping, can facilitate the production of high-quality, high-density genome-wide linkage maps.

Algorithms↗

Construction of multilocus genetic linkage maps in humans.

Human genetic linkage maps are most accurately constructed by using information from many loci simultaneously. Traditional methods for such multilocus linkage analysis are computationally prohibitive in general, even with supercomputers. The problem has acquired practical importance because of the current international collaboration aimed at constructing a complete human linkage map of DNA markers through the study of three-generation pedigrees. We describe here several alternative algorithms for constructing human linkage maps given a specified gene order. One method allows maximum-likelihood multilocus linkage maps for dozens of DNA markers in such three-generation pedigrees to be constructed in minutes.

Algorithms↗

Microsatellite marker based genetic linkage maps of Oreochromis aureus and O. niloticus (Cichlidae): extensive linkage group segment homologies revealed.

Partial genetic linkage maps, based on microsatellite markers, were constructed for two tilapia species, Oreochromis aureus and Oreochromis niloticus using an interspecific backcross population. The linkage map for O. aureus comprised 28 markers on 10 linkage groups and covered 212.8 CM. Nine markers were mapped to four linkage groups on an O. niloticus female linkage map covering 40.6 CM. Results revealed a high degree of conservation of synteny between the linkage groups defined in O. aureus and the previously published genetic linkage map of O. niloticus.

Animals↗

Linkage mapping of gene-associated SNPs to pig chromosome 11.

Single nucleotide polymorphisms (SNPs) were discovered in porcine expressed sequence tags (ESTs) orthologous to genes from human chromosome 13 (HSA13) and predicted to be located on pig chromosome 11 (SSC11). The SNPs were identified as sequence variants in clusters of EST sequences from pig cDNA libraries constructed in the Sino-Danish pig genome project. In total, 312 human gene sequences from HSA13 were used for similarity searches in our pig EST database. Pig ESTs showing significant similarity with HSA13 genes were clustered and candidate SNPs were identified. Allele frequencies for 26 SNPs were estimated in a group of 80 unrelated pigs from Danish commercial pig breeds: Duroc, Hampshire, Landrace and Large White. Eighteen of the 26 SNPs genotyped in the PiGMaP Reference Families were mapped by linkage analysis to SSC11. The EST-based SNPs published here are new genetic markers useful for linkage and association studies in commercial and experimental pig populations. This study represents the first gene-associated SNP linkage map of pig chromosome 11 and adds new comparative mapping information between SSC11 and HSA13. Furthermore, our data facilitate future studies aimed at the identification of interesting regions on pig chromosome 11, positional cloning and fine mapping of quantitative trait loci in pig.

Animals↗

Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

The advent of complete genetic linkage maps consisting of codominant DNA markers [typically restriction fragment length polymorphisms (RFLPs)] has stimulated interest in the systematic genetic dissection of discrete Mendelian factors underlying quantitative traits in experimental organisms. We describe here a set of analytical methods that modify and extend the classical theory for mapping such quantitative trait loci (QTLs). These include: (i) a method of identifying promising crosses for QTL mapping by exploiting a classical formula of SEWALL WRIGHT; (ii) a method (interval mapping) for exploiting the full power of RFLP linkage maps by adapting the approach of LOD score analysis used in human genetics, to obtain accurate estimates of the genetic location and phenotypic effect of QTLs; and (iii) a method (selective genotyping) that allows a substantial reduction in the number of progeny that need to be scored with the DNA markers. In addition to the exposition of the methods, explicit graphs are provided that allow experimental geneticists to estimate, in any particular case, the number of progeny required to map QTLs underlying a quantitative trait.

Chromosome Mapping↗

The validity of the Aspergillus nidulans linkage map.

The Aspergillus nidulans linkage map is reviewed as a background to physical mapping by cosmid cross-hybridization and genome sequencing. DNA-based methods depend on contiguity, so that the resulting maps are only as good as the weakest link, whereas each new marker added to a linkage map can provide independent confirmation of the positions of its neighbors. For all eight chromosomes of A. nidulans a reliable framework has been provided by analysis of mitotic crossing over, in many cases substantiated by the study of translocation disomics. Building on this framework, there is a backbone of loci linked by reliable three-point meiotic mapping and a second set of less precisely mapped loci. The result is a map with a high degree of self-consistency although some areas of uncertainty or conflict are also noted.

Aspergillus nidulans↗

Comparison between Poncirus and Citrus genetic linkage maps.

Five genetic linkage maps were constructed for the parents of three progenies: Citrus aurantium (A) x Poncirus trifoliata var. Flying Dragon (Pa), C. volkameriana (V) x P. trifoliata var. Rubidoux (Pv) and a self-pollination of P. trifoliata var. Flying Dragon (Pp). The number of polymorphic markers assayed ranged from 48 for Pa to 120 for A according to the heterozygosity of each parental. As our focus was on genome comparison, most of the markers were newly generated simple sequence repeats. Inter-retrotransposon amplified polymorphisms based on four retrotransposon sequences isolated from Citrus spp were also used to saturate the maps. These polymorphisms were much more frequent in A (53) than in Pa (15) and randomly distributed throughout both genomes. Since comparative genomics and quantitative trait locus analysis applicability depends on the reliability of marker ordering, the causes of variation in marker order were investigated. Around 25% of the markers showed gametal segregation distortions. Segregation distortions were also observed at the zygotic level towards a reduction in the observed frequency of homozygotes from that expected in linkage groups 5 and 7. The presence of balanced lethal factors or gametal incompatibility genes in those genomic regions would explain a zygotic advantage of heterozygotes at these specific regions. Four differences in genomic organization were observed; three are putative translocations and affect homeologous linkage groups 3, 7 and 11, where highly distorted markers are found. Other causes of variation in marker order are also discussed: the introduction of new markers in the map, lowering the LOD score and the mapping software. These results represent the first comparative mapping analysis among Citrus and Poncirus species.

Chromosome Mapping↗

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↗

Differences between the radiation hybrid and genetic linkage maps of bovine chromosome 5 resolved with a quasi-phylogenetic method of analysis.

Two major differences were detected in gene order between the radiation hybrid map and the genetic linkage map of bovine Chromosome (Chr) 5, and these were resolved by analyzing the raw radiation hybrid data by a quasi-phylogenetic method. Seventeen loci were typed on the new cattle whole genome radiation hybrid panel. Most of these loci are framework loci and include AGLA293, BM315, BM6026, BP1, BZRP, CD9, CSSM22, CSSM34, CYP2D@, ETH2, ETH10, ETH152, IGF1, LALBA, SLC2A3, SYT1, and TPI1. BP1 was found to be closer to the centromere than either BM6026 or SYT1 with two standard computer software packages for analyzing radiation hybrid panel data. This is inconsistent with any of the genetic linkage maps as well as their consensus. CYP2D@ was placed between ETH2 and BZRP, and this is also inconsistent with the genetic linkage maps, since CYP2D@ should be the most telomeric of the loci tested in this study. Resolution was reached by analyzing the raw radiation hybrid data for clones that bind some but not all of the loci, and the binding pattern was more consistent with the linkage maps and less consistent with the software-generated radiation hybrid map. The comparative mapping data confirm the relative inversion of gene order of SYT1 compared with humans and mice. A non-polymorphic fragment for CD9 indicates the conservation of gene order for three loci located on human Chr 12p. The genes of bovine Chr 5 conserved on human Chr 12p are located separately from the genes conserved on human Chr 12q. It is recommended that the raw data for radiation hybrid maps be made publicly available so that conflicts in gene order can be evaluated explicity.

Animals↗