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ActionMap: A web-based software that automates loci assignments to framework maps.

Genetic linkage computation may be a repetitive and time consuming task, especially when numerous loci are assigned to a framework map. We thus developed ActionMap, a web-based software that automates genetic mapping on a fixed framework map without adding the new markers to the map. Using this tool, hundreds of loci may be automatically assigned to the framework in a single process. ActionMap was initially developed to map numerous ESTs with a small plant mapping population and is limited to inbred lines and backcrosses. ActionMap is highly configurable and consists of Perl and PHP scripts that automate command steps for the MapMaker program. A set of web forms were designed for data import and mapping settings. Results of automatic mapping can be displayed as tables or drawings of maps and may be exported. The user may create personal access-restricted projects to store raw data, settings and mapping results. All data may be edited, updated or deleted. ActionMap may be used either online or downloaded for free (http://moulon.inra.fr/~bioinfo/).

Chromosome Mapping↗

Mapping the chicken genome.

Most economically important traits are genetically complex and controlled by numerous genes. A quality genetic map is a prerequisite for identifying quantitative trait loci (QTL) that contain the genes involved in these traits. Currently, there are two internationally recognized reference families that are used to build genetic maps. In this paper, the East Lansing (EL) genetic map is described in detail. Presently, the EL genetic map contains 617 genetic markers, of which 589 are resolved into 41 linkage groups. The map coverage within linkage groups is over 2,700 cM, which is about the estimated size of the chicken genome. There are 322 microsatellite markers, which greatly enhances the utility of this genetic map for genome-wide QTL searches. Also, 101 genes have been mapped, which will aid in the development of a comparative map. Further efforts to improve the genetic map and the potential for the map to identify QTL are discussed.

Animals↗

A 1463 gene cattle-human comparative map with anchor points defined by human genome sequence coordinates.

A second-generation 5000 rad radiation hybrid (RH) map of the cattle genome was constructed primarily using cattle ESTs that were targeted to gaps in the existing cattle-human comparative map, as well as to sparsely populated map intervals. A total of 870 targeted markers were added, bringing the number of markers mapped on the RH(5000) panel to 1913. Of these, 1463 have significant BLASTN hits (E < e(-5)) against the human genome sequence. A cattle-human comparative map was created using human genome sequence coordinates of the paired orthologs. One-hundred and ninety-five conserved segments (defined by two or more genes) were identified between the cattle and human genomes, of which 31 are newly discovered and 34 were extended singletons on the first-generation map. The new map represents an improvement of 20% genome-wide comparative coverage compared with the first-generation map. Analysis of gene content within human genome regions where there are gaps in the comparative map revealed gaps with both significantly greater and significantly lower gene content. The new, more detailed cattle-human comparative map provides an improved resource for the analysis of mammalian chromosome evolution, the identification of candidate genes for economically important traits, and for proper alignment of sequence contigs on cattle chromosomes.

Animals↗

Integration of the PiGMaP and USDA maps for porcine chromosome 14.

In order to align two previously published genetic linkage maps, a set of four of the United States Department of Agriculture (USDA) microsatellite linkage markers was mapped in the International Pig Gene Mapping Project (PiGMaP) reference families. Two-point linkage analysis was used between these USDA markers and the set of genes and markers previously mapped on the PiGMaP chromosome 14 map. Markers with threshold lod scores of three or greater were used for multipoint map construction. The USDA and PigGMaP linkage maps of chromosome 14 were aligned using the four USDA microsatellite markers along with three markers that are common to both maps. The PiGMaP genetic linkage map order for chromosome 14 was confirmed and the map was expanded to 193 cM with addition of the new markers.

Animals↗

A first-generation microsatellite-based integrated genetic and cytogenetic map for the European rabbit (Oryctolagus cuniculus) and localization of angora and albino.

Although the European rabbit (Oryctolagus cuniculus) is used both in agronomics and in research, genomic resources for this species are still limited and no microsatellite-based genetic map has been reported. Our aim was to construct a rabbit genetic map with cytogenetically mapped microsatellites so as to build an integrated genetic and cytogenetic map. A reference population of 187 rabbits comprising eight three-generation families with 10-25 offspring per family was produced. One hundred and ninety-four of 305 previously identified microsatellites were included in this study. Of these, 158 were polymorphic with two to seven alleles. The map reported here comprises 111 markers, including 104 INRA microsatellites, five microsatellites from another source and two phenotypic markers (angora and albino). Ninety markers were integrated into 20 linkage groups. The remaining 21 microsatellites mapped to separate linkage groups, 19 with a precise cytogenetic position and two with only a chromosomal assignment. The genetic map spans 2766.6 cM and covers 20 rabbit chromosomes, excluding chromosomes 20, 21 and X. The density of this map is limited, but we used it to verify the location of angora and albino on chromosomes 15q and 1q, respectively, in agreement with previously published data. This first generation genetic/cytogenetic map will help gene identification and quantitative trait loci mapping projects in rabbit.

Alleles↗

Standard maps of chromosome 10.

To achieve consensus more exact definitions of genetical maps are required, of which standard, comprehensive and skeletal might be some. A standard genetic map gives distance from pter in centimorgans (cM), uses the international nomenclature for assigned loci, is sex-specific, and allows as well as possible for interference and typing errors. A standard physical map gives distance from pter in megabases (Mb). A standard map is called comprehensive if it aims to include all syntenic loci, and skeletal if it is limited to loci whose order is well supported. Loci with established order are called skeletal, and are used to define regional assignments of other loci. These principles are illustrated using the CEPH data for chromosome 10. Map lengths by multiple 2-point analysis under supported interference are in good agreement with other evidence, but multipoint mapping gives a substantial overestimate. There are currently 21 loci in the skeletal genetic map and 40 loci in the comprehensive genetic map. From these data, cytogenetic assignments, and partial genetic maps the physical location has been estimated for 85 loci. MEN2A is in a region close to the centromere in which male recombination per megabase is much reduced. Order of DNA markers in this densely mapped region has not been determined, and therefore the exact location of MEN2A is uncertain, although it is likely to lie between D10S34 and D10S30 and close to D10S11.

Chi-Square Distribution↗

Molecular map of the Chlamydomonas reinhardtii nuclear genome.

We have prepared a molecular map of the Chlamydomonas reinhardtii genome anchored to the genetic map. The map consists of 264 markers, including sequence-tagged sites (STS), scored by use of PCR and agarose gel electrophoresis, and restriction fragment length polymorphism markers, scored by use of Southern blot hybridization. All molecular markers tested map to one of the 17 known linkage groups of C. reinhardtii. The map covers approximately 1,000 centimorgans (cM). Any position on the C. reinhardtii genetic map is, on average, within 2 cM of a mapped molecular marker. This molecular map, in combination with the ongoing mapping of bacterial artificial chromosome (BAC) clones and the forthcoming sequence of the C. reinhardtii nuclear genome, should greatly facilitate isolation of genes of interest by using positional cloning methods. In addition, the presence of easily assayed STS markers on each arm of each linkage group should be very useful in mapping new mutations in preparation for positional cloning.

Animals↗

RAPD-based genetic linkage maps of yellow passion fruit (Passiflora edulis Sims. f. flavicarpa Deg.).

A single cross between two clones of passion fruit (Passiflora edulis Sims. f. flavicarpa Deg., 2n = 18) was selected for genetic mapping. The mapping population was composed of 90 F1 plants derived from a cross between 'IAPAR 123' (female parent) and 'IAPAR 06' (male parent). A total of 380 RAPD primers were analyzed according to two-way pseudo-testcross mapping design. The linkage analysis was performed using Mapmaker version 3.0 with LOD 4.0 and a maximum recombination fraction (theta) of 0.30. Map distances were estimated using the Kosambi mapping function. Linkage maps were constructed with 269 loci (2.38 markers/primer), of which 255 segregated 1:1, corresponding to a heterozygous state in one parent and null in the other. The linkage map for 'IAPAR123' consisted of 135 markers. A total of nine linkage groups were assembled covering 727.7 cM, with an average distance of 11.20 cM between framework loci. The sizes of the linkage groups ranged from 56 to 144.6 cM. The linkage map for 'IAPAR 06' consisted of 96 markers, covering 783.5 cM. The average distance between framework loci was 12.2 cM. The length of the nine linkage groups ranged from 20.6 to 144.2 cM. On average, both maps provided 61% genome coverage. Twenty-four loci (8.9%) remained unlinked. Among their many applications, these maps are a starting point for the identification of quantitative trait loci for resistance to the main bacterial disease affecting passion fruit orchards in Brazil, caused by Xanthomonas campestris pv. passiflorae, because parental genotypes exhibit diverse responses to bacterial inoculation.

Chromosome Mapping↗

Rapid and long-lasting plasticity of input-output mapping.

Skilled use of tools requires us to learn an "input-output map" for the device, i.e., how our movements relate to the actions of the device. We used the paradigm of visuo-motor rotation to examine two questions about the plasticity of input-output maps: 1) does extensive practice on one mapping make it difficult to modify and/or to form a new input-output map and 2) once a map has been modified or a new map has been formed, does this map survive a gap in performance? Humans and monkeys made wrist movements to control the position of a cursor on a computer monitor. Humans practiced the task for approximately 1.5 h; monkeys practiced for 3-9 yr. After this practice, we gradually altered the direction of cursor movement relative to wrist movement while subjects moved either to a single target or to four targets. Subjects were unaware of the change in cursor-movement relationship. Despite their prior practice on the task, the humans and the monkeys quickly adjusted their motor output to compensate for the visuo-motor rotation. Monkeys retained the modified input-output map during a 2-wk gap in motor performance. Humans retained the altered map during a gap of >1 yr. Our results show that sensorimotor performance remains flexible despite considerable practice on a specific task, and even relatively short-term exposure to a new input-output mapping leads to a long-lasting change in motor performance.

Adult↗

Twelve loci from HSA10, HSA11 and HSA20 were comparatively FISH-mapped on river buffalo and sheep chromosomes.

Ten type I loci from HSA10 (IL2RA and VIM), HSA11 (HBB and FSHB) and HSA20 (THBD, AVP/OXT, GNAS1, HCK and TOP1) and two domestic cattle type II loci (CSSM30 and BL42) were FISH mapped to R-banded river buffalo (BBU) and sheep (OAR) chromosomes. IL2RA (HSA10) maps on BBU14q13 and OAR13q13, VIM (HSA10) maps on BBU14q15 and OAR13q15, HBB (HSA11) maps on BBU16q25 and OAR15q23, FSHB (HSA11) maps on BBU16q28 and OAR15q26, THBD (HSA20) maps on BBU14q15 and OAR13q15 while AVP/OXT, GNAS1, HCK, and TOP1 (HSA20) as well as CSSM30 and BL42 map on the same large band of BBU14q22 and OAR13q22. All loci were mapped on the same homologous chromosomes and chromosome bands of the two species, and these results agree with those earlier reported in cattle homologous chromosomes 15 and 13, respectively, confirming the high degree of both banding and physical map similarities among the bovid species. Indirect comparisons between physical maps achieved on bovid chromosomes and those reported on HSA10, HSA11 and HSA20 were performed.

Animals↗

Linkage disequilibrium mapping of quantitative trait loci under truncation selection.

As a dense map of single nucleotide polymorphism (SNP) markers are available, population-based linkage disequilibrium (LD) mapping or association study is becoming one of the major tools for identifying quantitative trait loci (QTL) and for fine gene mapping. However, in many cases, LD between the marker and trait locus is not very strong. Approaches that maximize the potential of detecting LD will be essential for the success of LD mapping of QTL. In this paper, we propose two strategies for increasing the probability of detecting LD: (1) phenotypic selection and (2) haplotype LD mapping. To provide the foundations for LD mapping of QTL under selection, we develop analytic tools for assessing the impact of phenotypic selection on allele and haplotype frequencies, and LD under three trait models: single trait locus, two unlinked trait loci, and two linked trait loci with or without epistasis. In addition to a traditional chi(2) test, which compares the difference in allele or haplotype frequencies in the selected sample and population sample, we present multiple regression methods for LD mapping of QTL, and investigate which methods are effective in employing phenotypic selection for QTL mapping. We also develop a statistical framework for investigating and comparing the power of the single marker and multilocus haplotype test for LD mapping of QTL. Finally, the proposed methods are applied to mapping QTL influencing variation in systolic blood pressure in an isolated Chinese population.

Chi-Square Distribution↗

Association of left ventricular remodeling and nonuniform electrical recovery expressed by nondipolar QRST integral map patterns in survivors of a first anterior myocardial infarction. Captopril and Thrombolysis Study Investigators.

BACKGROUND: Progressive left ventricular dilatation after myocardial infarction is associated with a high mortality rate, the majority of which is arrhythmogenic in origin. The underlying mechanism of this relation remains unknown. It has been suggested, however, that left ventricular dilatation is accompanied by changes in repolarization characteristics that may facilitate the occurrence of life-threatening ventricular arrhythmias. METHODS AND RESULTS: We examined 62-lead body surface QRST integral maps during sinus rhythm in 78 patients at 349 +/- 141 days after thrombolysis for a first anterior myocardial infarction. Visual map analysis was directed at discriminating dipolar (uniform repolarization) from nondipolar (nonuniform repolarization) patterns. In addition, the nondipolar content of each map was assessed quantitatively with the use of eigenvector analysis. Nondipolar map patterns were present in almost one third of the patients (32%). Left ventricular end-systolic and end-diastolic volumes were assessed echocardiographically before discharge and after 3 and 12 months with the use of the modified biplane Simpson rule. The increase in left ventricular end-systolic volume 1 year after myocardial infarction was more pronounced in patients with nondipolar QRST integral map patterns (14.47 +/- 14.10 versus 4.22 +/- 8.44 mL/m2, P = .017). In patients with an increase in end-systolic volume of more than 16 mL/m2 (upper quartile), the prevalence of nondipolar maps was 89% compared with 29% in patients with dilatation of less than 16 mL/m2. In addition, the nondipolar content of maps in patients in the upper quartile was significantly increased compared with the lower quartiles (49 +/- 14% versus 37 +/- 12%, P = .013). Logistic regression analysis revealed that an end-systolic volume of more than 42 mL/m2 after 1 year contributed independently to the appearance of nondipolar maps. Patients with high-grade ventricular arrhythmias showed a higher nondipolar content (49 +/- 17% versus 39 +/- 10%, P = .013). QTc dispersion did not discriminate between patients with and those without high-grade ventricular arrhythmias. Also, the association between left ventricular remodeling and nondipolar map patterns was confirmed prospectively in an additional group of 15 patients. CONCLUSIONS: Nondipolar map patterns are present in 32% of patients after thrombolysis for a first anterior myocardial infarction and are associated with increased left ventricular dilatation. These data support the hypothesis that left ventricular dilatation after myocardial infarction leads to changes in repolarization characteristics that may facilitate the occurrence of life-threatening ventricular arrhythmias.

Adult↗

Body-surface QRST integral mapping. Arrhythmogenic righ ventricular dysplasia versus idiopathic right ventricular tachycardia.

BACKGROUND: Ventricular tachycardia originating in the right ventricle may arise in the presence or absence of structural heart disease. The two main causes of right ventricular tachycardia are arrhythmogenic right ventricular dysplasia (ARVD) and idiopathic right ventricular tachycardia (IRVT) originating from the outflow tract. This study was carried out to determine whether body-surface QRST integral mapping can differentiate patients with ARVD from patients with IRVT. METHODS AND RESULTS: Body-surface QRST integral maps were obtained during sinus rhythm in 8 patients with ARVD, 8 patients with IRVT, and 27 healthy control subjects. QRST integral maps were analyzed both visually and mathematically. All control subjects had a normal dipolar QRST integral map. In all patients with ARVD, a specific dipolar QRST integral map with an abnormally large negative area covering the entire inferior and right anterior thorax was recorded. In 6 of 8 patients with IRVT, a normal map pattern was found, whereas the remaining 2 patients showed an abnormally large negative area on the right anterior thorax. CONCLUSIONS: Patients with ARVD display a specific abnormal QRST integral map that may be related to delayed repolarization in the structurally abnormal right ventricle. The majority of patients with IRVT demonstrate a normal QRST integral map. A slightly abnormal QRST integral map was noted in 2 of 8 patients with IRVT, which may be related to minor structural abnormalities, undetectable by the present routine diagnostic techniques. These preliminary results indicate that body-surface QRST integral mapping may become an important diagnostic tool to differentiate patients with ARVD from those with IRVT.

Adult↗

Are visual cortex maps optimized for coverage?

The elegant regularity of maps of variables such as ocular dominance, orientation, and spatial frequency in primary visual cortex has prompted many people to suggest that their structure could be explained by an optimization principle. Up to now, the standard way to test this hypothesis has been to generate artificial maps by optimizing a hypothesized objective function and then to compare these artificial maps with real maps using a variety of quantitative criteria. If the artificial maps are similar to the real maps, this provides some evidence that the real cortex may be optimizing a similar function to the one hypothesized. Recently, a more direct method has been proposed for testing whether real maps represent local optima of an objective function (Swindale, Shoham, Grinvald, Bonhoeffer, & Hübener, 2000). In this approach, the value of the hypothesized function is calculated for a real map, and then the real map is perturbed in certain ways and the function recalculated. If each of these perturbations leads to a worsening of the function, it is tempting to conclude that the real map is quite likely to represent a local optimum of that function. In this article, we argue that such perturbation results provide only weak evidence in favor of the optimization hypothesis.

Animals↗

PeanutMap: an online genome database for comparative molecular maps of peanut.

BACKGROUND: Molecular maps have been developed for many species, and are of particular importance for varietal development and comparative genomics. However, despite the existence of multiple sets of linkage maps, databases of these data are lacking for many species, including peanut. DESCRIPTION: PeanutMap http://peanutgenetics.tamu.edu/cmap provides a web-based interface for viewing specific linkage groups of a map set. PeanutMap can display and compare multiple maps of a set based upon marker or trait correspondences, which is particularly important as cultivated peanut is a disomic tetraploid. The database can also compare linkage groups among multiple map sets, allowing identification of corresponding linkage groups from results of different research projects. Data from the two published peanut genome map sets, and also from three maps sets of phenotypic traits are present in the database. Data from PeanutMap have been incorporated into the Legume Information System website http://www.comparative-legumes.org to allow peanut map data to be used for cross-species comparisons. CONCLUSION: The utility of the database is expected to increase as several SSR-based maps are being developed currently, and expanded efforts for comparative mapping of legumes are underway. Optimal use of these data will benefit from the development of tools to facilitate comparative analysis.

Arachis↗

A high-resolution radiation hybrid map of chicken chromosome 5 and comparison with human chromosomes.

BACKGROUND: The resolution of radiation hybrid (RH) maps is intermediate between that of the genetic and BAC (Bacterial Artificial Chromosome) contig maps. Moreover, once framework RH maps of a genome have been constructed, a quick location of markers by simple PCR on the RH panel is possible. The chicken ChickRH6 panel recently produced was used here to construct a high resolution RH map of chicken GGA5. To confirm the validity of the map and to provide valuable comparative mapping information, both markers from the genetic map and a high number of ESTs (Expressed Sequence Tags) were used. Finally, this RH map was used for testing the accuracy of the chicken genome assembly for chromosome 5. RESULTS: A total of 169 markers (21 microsatellites and 148 ESTs) were typed on the ChickRH6 RH panel, of which 134 were assigned to GGA5. The final map is composed of 73 framework markers extending over a 1315.6 cR distance. The remaining 61 markers were placed alongside the framework markers within confidence intervals. CONCLUSION: The high resolution framework map obtained in this study has markers covering the entire chicken chromosome 5 and reveals the existence of a high number of rearrangements when compared to the human genome. Only two discrepancies were observed in relation to the sequence assembly recently reported for this chromosome.

Animals↗

The role of pedigree information in combined linkage disequilibrium and linkage mapping of quantitative trait loci in a general complex pedigree.

Combined linkage disequilibrium and linkage (LDL) mapping can exploit historical as well as recent and observed recombinations in a recorded pedigree. We investigated the role of pedigree information in LDL mapping and the performance of LDL mapping in general complex pedigrees. We compared using complete and incomplete genotypic data, spanning 5 or 10 generations of known pedigree, and we used bi- or multiallelic markers that were positioned at 1- or 5-cM intervals. Analyses carried out with or without pedigree information were compared. Results were compared with linkage mapping in some of the data sets. Linkage mapping or LDL mapping with sparse marker spacing ( approximately 5 cM) gave a poorer mapping resolution without considering pedigree information compared to that with considering pedigree information. The difference was bigger in a pedigree of more generations. However, LDL mapping with closely linked markers ( approximately 1 cM) gave a much higher mapping resolution regardless of using pedigree information. This study shows that when marker spacing is dense and there is considerable linkage disequilibrium generated from historical recombinations between flanking markers and QTL, the loss of power due to ignoring pedigree information is negligible and mapping resolution is very high.

Alleles↗

An integrated rat genome map based on genetic and cytogenetic data.

In this study we combined three major rat genome maps, by adding 66 markers to the Kyoto Laboratory Animal Science map (KLAS map), and constructed an integrated map. The resultant integrated map consists of 5,682 redundant markers, spanning a genetic length of 2,028 cM. Eighty genetic markers were anchored to the cytogenetic map, fixing all the genetic maps in the physically correct orientation. This map encapsulates the progress in rat mapping studies in past years and offers useful information for QTL analysis. The map figures are available at http:/(/)www.anim.med.kyoto-u.ac.jp/.

Animals↗