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Automated construction of genetic linkage maps using an expert system (MultiMap): a human genome linkage map.

High-resolution genetic linkage maps are indispensable for positional cloning of disease genes. Current procedures for map construction, although aided considerably by many existing computer programs, require extensive user-intervention at each of many repetitive steps. This is time consuming, labour intensive and increases the chance of error. We have developed an expert system computer program, MultiMap, which automates this step-by-step procedure. MultiMap is based on a novel map construction algorithm and allows investigator control of marker locus characteristics, such as informativeness, scorability or distance to nearest neighbours. We used MultiMap to construct a human genetic map at an average resolution of 6 cM, using published genotypes at 1266 microsatellite markers, and further extended this map by adding 397 VNTR and polymorphic gene markers.

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↗

Construction of a genetic linkage map for Camellia sinensis (tea).

Genetic maps are a vital tool in cultivar improvement programmes for woody perennial tree crops such as tea (Camellia sinensis). A population thought to be derived from two known, noninbred parents was scored for RAPD and AFLP markers, in order to develop a linkage map. However, a very high proportion of the markers exhibited unexpected segregation ratios in the light of their configurations in the parents, and an exploratory statistical analysis revealed patterns in the marker scores which can most easily be explained by the hypothesis of three male parents contributing pollen to this cross. We discuss the evidence for this and the subsequent analysis required to assemble the markers from the female parent into the first linkage map for tea. The map has 15 linkage groups of three or more markers, agreeing with the haploid chromosome number of tea. The statistical methods that revealed the subpopulations are easy to apply routinely, and may prove a useful diagnostic tool for the analysis of noninbred mapping populations.

Chromosome Mapping↗

Genetic and physical mapping around the properdin P gene.

A CA repeat has been found on the human X chromosome within 16 kb of the gene encoding properdin P factor (PFC) and has been shown to be a highly informative marker. Two more polymorphic CA repeats were found in a cosmid containing DXS228. The CA repeats, and other markers from proximal Xp, were mapped genetically in CEPH families and the likely order of markers was established as Xpter-(DXS7, MAO-A, DXS228)-(PFC, DXS426)-(TIMP, OATL1)-DXS255-Xcen. This places PFC in the region Xp11.3-Xp11.23, thus refining previous in situ hybridization data. Two yeast artificial chromosomes (YACs) (440 and 390 kb) contain both PFC and DXS426, and one of them (440 kb) also contains TIMP. This confirms the genetic order TIMP-(PFC, DXS426). PFC and TIMP are located on the same 100-kb SalI/PvuI fragment of the 440-kb YAC. Given the genetic orientation of TIMP and (PFC, DXS426), this YAC can now serve as a starting point for directional walking toward disease genes located in Xp11.3-Xp11.2 such as retinitis pigmentosa (RP2) and Wiskott-Aldrich syndrome.

Base Sequence↗

Molecular genetic linkage maps for allotetraploid Leymus wildryes (Gramineae: Triticeae).

Molecular genetic maps were constructed for two full-sib populations, TTC1 and TTC2, derived from two Leymus triticoides x Leymus cinereus hybrids and one common Leymus triticoides tester. Informative DNA markers were detected using 21 EcoRI-MseI and 17 PstI-MseI AFLP primer combinations, 36 anchored SSR or STS primer pairs, and 9 anchored RFLP probes. The 164-sib TTC1 map includes 1069 AFLP markers and 38 anchor loci in 14 linkage groups spanning 2001 cM. The 170-sib TTC2 map contains 1002 AFLP markers and 36 anchor loci in 14 linkage groups spanning 2066 cM. Some 488 homologous AFLP loci and 24 anchor markers detected in both populations showed similar map order. Thus, 1583 AFLP markers and 50 anchor loci were mapped into 14 linkage groups, which evidently correspond to the 14 chromosomes of allotetraploid Leymus (2n = 4x = 28). Synteny of two or more anchor markers from each of the seven homoeologous wheat and barley chromosomes was detected for 12 of the 14 Leymus linkage groups. Moreover, two distinct sets of genome-specific STS markers were identified in these allotetraploid Leymus species. These Leymus genetic maps and populations will provide a useful system to evaluate the inheritance of functionally important traits of two divergent perennial grass species.

Amino Acid Sequence↗

Comparative maps of human 19p13.3 and mouse chromosome 10 allow identification of sequences at evolutionary breakpoints.

A cosmid/bacterial artificial chromosome (BAC) contiguous (contig) map of human chromosome (HSA) 19p13.3 has been constructed, and over 50 genes have been localized to the contig. Genes and anonymous ESTs from approximately 4000 kb of human 19p13.3 were placed on the central mouse chromosome 10 map by genetic mapping and pulsed-field gel electrophoresis (PFGE) analysis. A region of approximately 2500 kb of HSA 19p13.3 is collinear to mouse chromosome (MMU) 10. In contrast, the adjacent approximately 1200 kb are inverted. Two genes are located in a 50-kb region after the inversion on MMU 10, followed by a region of homology to mouse chromosome 17. The synteny breakpoint and one of the inversion breakpoints has been localized to sequenced regions in human <5 kb in size. Both breakpoints are rich in simple tandem repeats, including (TCTG)n, (CT)n, and (GTCTCT)n, suggesting that simple repeat sequences may be involved in chromosome breaks during evolution. The overall size of the region in mouse is smaller, although no large regions are missing. Comparing the physical maps to the genetic maps showed that in contrast to the higher-than-average rate of genetic recombination in gene-rich telomeric region on HSA 19p13.3, the average rate of recombination is lower than expected in the homologous mouse region. This might indicate that a hot spot of recombination may have been lost in mouse or gained in human during evolution, or that the position of sequences along the chromosome (telomeric compared to the middle of a chromosome) is important for recombination rates.

Animals↗

A comparison of two algorithms, MultiMap and gene mapping system, for automated construction of genetic linkage maps.

Using the GAW11 Problem 2 data set, we compared the performance of two automated map construction algorithms, MultiMap and GMS (Gene Mapping System). The MultiMap algorithm iteratively adds markers in a stepwise manner to the map, while the GMS algorithm seeks to find the best order of the whole set of markers by selective permutations of logically formed subgroups of the markers. While it is difficult to compare these two rather different algorithms, we found that, on these data, GMS performed better than MultiMap, placing more markers in their true order on average, with little order ambiguity. In addition, as the number of markers increased, GMS was less computationally demanding than MultiMap. However, it MultiMap placed a marker, it was almost always in the correct order. In contrast, GMS often placed a group of markers on the wrong end of the map; such incorrect placements occur when the evidence for placement on one end or the other is not strong. Thus, there is room for further algorithmic developments that combine the strengths of both the MultiMap and GMS approaches.

Algorithms↗

The zebrafish mutation m865 affects formation of dopaminergic neurons and neuronal survival, and maps to a genetic interval containing the sepiapterin reductase locus.

The zebrafish mutation m865 was isolated during a large-scale mutagenesis screen aimed at identifying genes involved in the development and maintenance of subgroups of neurons in the zebrafish central nervous system. The phenotype of m865 mutant embryos shows defects in the development of dopaminergic neurons in the pretectum and of retinal amacrine cells, as well as abnormal caudal dopaminergic cluster in the diencephalon. The effects of the mutation appear not to be restricted to dopaminergic neurons, as development of other neurotransmitter systems (serotonergic and cholinergic) is impaired as well. Furthermore, increased apoptosis is localized to the m865 mutant retina and in the optic tectum starting at 24hpf, and may lead to the observed reduced size of the mutant head and eye. Early patterning is not affected in m865 mutant embryos, and expression of genes known to play a role in dopaminergic cell differentiation is normal except for reduced expression of nurr1 in the mutant retina. Thus the m865 mutation does not specifically affect dopaminergic neuron development. m865 was genetically mapped to linkage group 5, and the critical genomic interval could be narrowed down to a region of 110 kb, containing four candidate genes. For one of these candidate genes, sepiapterin reductase (spr), a requirement for neuronal survival has previously been implicated, including dopaminergic neurons. Identification of the mutated gene should lead to a more detailed understanding of the defects observed in m865 mutant embryos, and potentially could enhance the understanding of the development and maintenance of specific dopaminergic neuronal populations.

Alcohol Oxidoreductases↗

Physical map of the genome of Rhizobium meliloti 1021.

A physical map of the genome of Rhizobium meliloti 1021 is presented. The physical sizes of the three replicons in this genome had previously been determined and are as follows: the chromosome, 3.4 Mb; pSym-b, 1.7 Mb; and pSym-a, 1.4 Mb. The physical maps for this GC-rich genome contain AT-rich restriction sites for SwaI (5'-TAAATTTA-3'), PacI (5'-TTAATTAA-3'), PmeI (5'-GTTTAAAC-3'), and, for pSym-b, SpeI (5'-ACTAGT-3'). In addition, the endonuclease I-CeuI cleaved the 23S rRNA genes in this genome, and perhaps in most eubacterial genomes. I-CeuI digestion and polymerase chain reaction amplification of rrn regions were used to determine that there are at least three rrn loci in R. meliloti, all of which are located on the chromosome. The orientation of the rrn loci was determined by Southern blotting with probes from rrn sequences located 5' and 3' to the I-CeuI site. The rrn loci are clustered in one part of the chromosome and are oriented so that transcription will occur away from a single point in the circle, as observed for the origin of replication in the Escherichia coli and Salmonella typhimurium chromosomes. Fifteen genes that had been tagged by Tn5 insertion were localized to fragments on the chromosome physical map by using the IS50 as a probe in Southern blots. In addition, glt and gap were placed on the physical map by using Southern hybridization with cloned genes. The fortuitous occurrence of SpecI site in Tn5-233 was used to physically map 10 genetically mapped Tn5-233 integrations on pSym-b and to anchor the physical map to the genetic map. Finally, we demonstrate the usefulness of the map by localizing a total of 12 previously unmapped transposon insertions in the genome. This is the first physical map of the genome of a multireplicon member of the family Rhizobiaceae as well as the first physical map of a Rhizobium chromosome.

Base Sequence↗

RAPD-based genetic linkage maps of Tribolium castaneum.

A genetic map of the red flour beetle (Tribolium castaneum) integrating molecular with morphological markers was constructed using a backcross population of 147 siblings. The map defines 10 linkage groups (LGs), presumably corresponding to the 10 chromosomes, and consists of 122 randomly amplified polymorphic DNA (RAPD) markers, six molecular markers representing identified genes, and five morphological markers. The total map length is 570 cM, giving an average marker resolution of 4.3 cM. The average physical distance per genetic distance was estimated at 350 kb/cM. A cluster of loci showing distorted segregation was detected on LG9. The process of converting RAPD markers to sequence-tagged site markers was initiated: 18 RAPD markers were cloned and sequenced, and single-strand conformational polymorphisms were identified for 4 of the 18. The map positions of all 4 coincided with those of the parent RAPD markers.

Alleles↗

A genetic linkage map for zebrafish: comparative analysis and localization of genes and expressed sequences.

Genetic screens in zebrafish (Danio rerio) have isolated mutations in hundreds of genes with essential functions. To facilitate the identification of candidate genes for these mutations, we have genetically mapped 104 genes and expressed sequence tags by scoring single-strand conformational polymorphisms in a panel of haploid siblings. To integrate this map with existing genetic maps, we also scored 275 previously mapped genes, microsatellites, and sequence-tagged sites in the same haploid panel. Systematic phylogenetic analysis defined likely mammalian orthologs of mapped zebrafish genes, and comparison of map positions in zebrafish and mammals identified significant conservation of synteny. This comparative analysis also identified pairs of zebrafish genes that appear to be orthologous to single mammalian genes, suggesting that these genes arose in a genome duplication that occurred in the teleost lineage after the divergence of fish and mammal ancestors. This comparative map analysis will be useful in predicting the locations of zebrafish genes from mammalian gene maps and in understanding the evolution of the vertebrate genome.

Animals↗

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↗

Mapping multiple genetic loci associated with Ceratomyxa shasta resistance in Oncorhynchus mykiss.

Ceratomyxa shasta is enzootic to some rivers of the Pacific Northwest and California, and has caused extensive mortalities of salmonids, the only known host of the actinosporean stage of the pathogen. Mortalities from C. shasta are induced by severe inflammation and necrosis of the intestinal tract, and no therapeutants have been discovered for the treatment of ceratomyxosis. Inheritance studies by previous investigators suggested that C. shasta resistance is genetically controlled, but none have revealed the number and locations of gene regions associated with resistance. Here, we characterized differences in resistance among clonal lines, and used line crosses between clonal lines with resistance differences for a genetic analysis of C. shasta resistance in Oncorhynchus mykiss, following a short term in situ exposure to the pathogen. We found that Oregon State University (OSU) x Arlee (ARL) clonal hybrids were highly susceptible, while OSU x Clearwater (CW) hybrids were highly resistant to C. shasta. Doubled haploids, produced by androgenesis from an F1 hybrid between the OSU and CW lines, were evaluated for the co-segregation of molecular markers and resistance phenotype. Amplified fragment length polymorphic (AFLP) markers, used to construct a genetic linkage map in this cross, were tested for associations with resistance expressed as absolute survival (binary trait) and days to death (survival analysis). Segregation of the resistance phenotype suggested that the resistance was inherited as a single Mendelian locus, but the binary trait failed to map to a single genomic location. Markers identified in single-marker analyses were used in multiple-regression model selection, within both the linear regression and Cox proportional-hazards survival analysis frameworks, to determine the number and potential location of loci simultaneously contributing to variation in the survival phenotypes of doubled-haploid progeny. We found multiple genomic loci associated with C. shasta resistance through these models, confirming studies by previous investigators that suggested C. shasta resistance is polygenic.

Animals↗

Exploratory study of the feasibility and utility of the colored eco-genetic relationship map (CEGRM) in women at high genetic risk of developing breast cancer.

We report here the results of an exploratory feasibility study of the colored eco-genetic relationship map (CEGRM), a novel, recently-developed psychosocial assessment tool, which incorporates features of the genetic pedigree, family systems genogram, and ecomap. The CEGRM presents a simple, concise, visual representation of the social interaction domains of information, services, and emotional support through the application of color-coded symbols to the genetic pedigree. The interactive process of completing the CEGRM was designed to facilitate contemporary genetic counseling goals of: (a) understanding the client in the context of her/his social milieu; (b) bolstering client self-awareness and insight; (c) fostering active client participation and mutuality in the counseling interaction; (d) eliciting illuminating social narratives; and (e) addressing outstanding emotional issues. Twenty women participating in a breast imaging study of women from families with BRCA1/2 mutations completed and evaluated various aspects of the CEGRM. We found that efficient construction of the CEGRM was feasible, and that compliance was excellent. Participants developed insights into their social milieu through observing the visual pattern of relationships illustrated by the CEGRM. The process of co-constructing the CEGRM fostered the participant's active involvement in the session, marked by mutuality and increased empathy. In this clinical research context, the participants felt free to share poignant stories about their friends and families. Further studies are planned to refine the CEGRM and to examine its utility in cancer genetics research.

Adult↗

Genetic linkage map of medaka with polymerase chain reaction length polymorphisms.

With recent improvements in genetic and genomic infrastructures, great interest has been taken in genetic dissection of multi-factorial traits. A genetic map consisting of markers that are highly polymorphic and rapidly genotyped is essential for the genetic mapping of such a complex trait. Medaka, Oryzias latipes, is an excellent model system for genetic studies. To promote genetic mapping of complex traits in medaka we developed the first high-throughput and genome-wide marker set in the organism by using its genomic information and the bioinformatic techniques. We tested 545 primer pairs and obtained 265 co-dominant markers between two inbred strains, HNI and Hd-rR. Our map, consisting of 231 uniquely mapped markers, covers 1257.3 centimorgan (cM) of the medaka genome with an average interval distance of 5.4 cM. Furthermore, the newly designed markers were examined for polymorphisms among six medaka inbred strains: HNI, Hd-rR and four additional strains. Most of our markers are simple sequence length polymorphisms (SSLPs) and can be rapidly genotyped by an automated system under a single polymerase chain reaction (PCR) condition. Together with the genotyping data of six medaka inbred strains, our new marker set provides a powerful tool for genome-wide analysis of complex biological phenomena found widely in medaka populations.

Animals↗

Genetic linkage maps of two apricot cultivars ( Prunus armeniaca L.) compared with the almond Texas x peach Earlygold reference map for Prunus.

Several genetic linkage maps have been published in recent years on different Prunus species suggesting a high level of resemblance among the genomes of these species. One of these maps (Joobeur et al., Theor Appl Genet 97:1034-1041 [(1998); Aranzana et al., Theor Appl Genet 106:819-825 (2002b)] constructed from interspecific almond Texas x peach Earlygold F(2) progeny (TxE) was considered to be saturated. We selected 142 F(1) apricot hybrids obtained from a cross between P. armeniaca cvs. Polonais and Stark Early Orange for mapping. Eighty-eight RFLP probes and 20 peach SSR primer pairs used for the 'reference map' were selected to cover the eight linkage groups. One P. davidiana and an additional 14 apricot simple sequence repeats (SSRs) were mapped for the F(1) progeny. Eighty-three amplified fragment length polymorphisms were added in order to increase the density of the maps. Separate maps were made for each parent according to the 'double pseudo-testcross' model of analysis. A total of 141 markers were placed on the map of Stark Early Orange, defining a total length of 699 cM, and 110 markers were placed on the map of Polonais, defining a total length of 538 cM. Twenty-one SSRs and 18 restriction placed in the TxE map were heterozygous in both parents (anchor loci), thereby enabling the alignment of the eight homologous linkage groups of each map. Except for 15 markers, most markers present in each linkage group in apricot were aligned with those in TxE map, indicating a high degree of colinearity between the apricot genome and the peach and almond genomes. These results suggest a strong homology of the genomes between these species and probably between Prunophora and Amygdalus sub-genera.

Chromosome Mapping↗

Development of a molecular genetic linkage map for Colletotrichum lindemuthianum and segregation analysis of two avirulence genes.

A framework genetic map was developed for the fungal pathogen Colletotrichum lindemuthianum, the causal agent of anthracnose of common bean (Phaseolus vulgaris L.). This is the first genetic map for any species within the family Melanconiaceae and the genus Colletotrichum and provides the first estimate of genome length for C. lindemuthianum. The map was generated using 106 haploid F1 progeny derived from crossing two Mexican C. lindemuthianum isolates differing in two avirulence genes (AvrclMex and AvrclTO). The map comprises 165 AFLP markers covering 1,897 cM with an average spacing of 11.49 cM. The markers are distributed over 19 major linkage groups containing between 5 and 25 markers each and the genome length was estimated to be approximately 3,241 cM. The avirulence genes AvrclMex and AvrclTO segregate in a 1:1 ratio supporting the gene for gene hypothesis for the incompatible reaction between C. lindemuthianum and P. vulgaris, but could not be incorporated into the genetic map. This initial outline map forms the basis for the development of a more detailed C. lindemuthianum linkage map, which would include other types of molecular markers and allow the location of genes previously isolated and characterized in this species.

Colletotrichum↗

Error checking and graphical representation of multiple-complete-digest (MCD) restriction-fragment maps.

Genetic and physical maps display the relative positions of objects or markers occurring within a target DNA molecule. In constructing maps, the primary objective is to determine the ordering of these objects. A further objective is to assign a coordinate to each object, indicating its distance from a reference end of the target molecule. This paper describes a computational method and a body of software for assigning coordinates to map objects, given a solution or partial solution to the ordering problem. We describe our method in the context of multiple-complete-digest (MCD) mapping, but it should be applicable to a variety of other mapping problems. Because of errors in the data or insufficient clone coverage to uniquely identify the true ordering of the map objects, a partial ordering is typically the best one can hope for. Once a partial ordering has been established, one often seeks to overlay a metric along the map to assess the distances between the map objects. This problem often proves intractable because of data errors such as erroneous local length measurements (e.g., large clone lengths on low-resolution physical maps). We present a solution to the coordinate assignment problem for MCD restriction-fragment mapping, in which a coordinated set of single-enzyme restriction maps are simultaneously constructed. We show that the coordinate assignment problem can be expressed as the solution of a system of linear constraints. If the linear system is free of inconsistencies, it can be solved using the standard Bellman-Ford algorithm. In the more typical case where the system is inconsistent, our program perturbs it to find a new consistent system of linear constraints, close to those of the given inconsistent system, using a modified Bellman-Ford algorithm. Examples are provided of simple map inconsistencies and the methods by which our program detects candidate data errors and directs the user to potential suspect regions of the map.

Algorithms↗