Anchoring of rice BAC clones to the rice genetic map in silico

A wealth of molecular resources have been developed for rice genomics, including dense genetic maps, expressed sequence tags (ESTs), yeast artificial chromosome maps, bacterial artificial chromosome (BAC) libraries and BAC end sequence databases. Integration of genetic and physical maps involves labor-intensive empirical experiments. To accelerate the integration of the bacterial clone resources with the genetic map for the International Rice Genome Sequencing Project, we cleaned and filtered the available EST and BAC end sequences for repetitive sequences and then searched all available rice genetic markers with our filtered databases. We identified 418 genetic markers that aligned with at least one BAC end sequence with >95% sequence identity, providing a set of large insert clones with an average separation of 1 Mb that can serve as nucleation points for the sequencing phase of the International Rice Genome Sequencing Project.     

Genetic linkage maps of rose constructed with new microsatellite markers and locating QTL controlling flowering traits

New microsatellites markers [simple sequence repeat (SSR)] have been isolated from rose and integrated into an existing amplified fragment-length polymorphism genetic map. This new map was used to identify quantitative trait locus (QTL) controlling date of flowering and number of petals. From a rose bud expressed sequence tag (EST) database of 2,556 unigenes and a rose genomic library, 44 EST-SSRs and 20 genomic-SSR markers were developed, respectively. These new rose SSRs were used to expand genetic maps of the rose interspecific F₁ progeny. In addition, SSRs from other Rosaceae genera were also tested in the mapping progeny. Genetic maps for the two parents of the progeny were constructed using pseudo-testcross mapping strategy. The maps consist of seven linkage groups of 105 markers covering 432 cM for the maternal map and 136 markers covering 438 cM for the paternal map. Homologous relationships among linkage groups between the maternal and paternal maps were established using SSR markers. Loci controlling flowering traits were localised on genetic maps as a major gene and QTL for the number of petals and a QTL for the blooming date. New SSR markers developed in this study will provide tools for the establishment of a consensus linkage map for roses that combine traits and markers in various rose genetic maps.     

Molecular linkage maps of Vitis vinifera L. and Vitis riparia Mchx

Two linkage maps for grape (Vitis spp.) have been developed based on 81 F(1) plants derived from an interspecific cross between the wine cultivar Moscato bianco (Vitis vinifera L.) and a Vitis riparia Mchx. accession, a donor of pathogen resistance traits. The double pseudotest-cross mapping strategy was applied using three types of molecular markers. The efficiency of SSRs to anchor homologous linkage groups from different Vitis maps and the usefulness of AFLPs in saturating molecular linkage maps were evaluated. Moreover, the SSCP technique was developed based on sequence information in public databases concerning genes involved in flavonoid and stilbene biosynthesis. For the maternal genetic map a total of 338 markers were assembled in 20 linkage groups covering 1,639 cM, whereas 429 loci defined the 19 linkage groups of the paternal map which covers 1,518 cM. The identification of 14 linkage groups common to both maps was possible based on 21 SSR and 19 AFLP loci. The position of SSR loci in the maps presented here was consistent with other published mapping experiments in Vitis.     

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/.     

A set of EST-SNPs for map saturation and cultivar identification in melon

Background

There are few genomic tools available in melon (Cucumis melo L.), a member of the Cucurbitaceae, despite its importance as a crop. Among these tools, genetic maps have been constructed mainly using marker types such as simple sequence repeats (SSR), restriction fragment length polymorphisms (RFLP) and amplified fragment length polymorphisms (AFLP) in different mapping populations. There is a growing need for saturating the genetic map with single nucleotide polymorphisms (SNP), more amenable for high throughput analysis, especially if these markers are located in gene coding regions, to provide functional markers. Expressed sequence tags (ESTs) from melon are available in public databases, and resequencing ESTs or validating SNPs detected in silico are excellent ways to discover SNPs.

Results

EST-based SNPs were discovered after resequencing ESTs between the parental lines of the PI 161375 (SC) × 'Piel de sapo' (PS) genetic map or using in silico SNP information from EST databases. In total 200 EST-based SNPs were mapped in the melon genetic map using a bin-mapping strategy, increasing the map density to 2.35 cM/marker. A subset of 45 SNPs was used to study variation in a panel of 48 melon accessions covering a wide range of the genetic diversity of the species. SNP analysis correctly reflected the genetic relationships compared with other marker systems, being able to distinguish all the accessions and cultivars.

Conclusion

This is the first example of a genetic map in a cucurbit species that includes a major set of SNP markers discovered using ESTs. The PI 161375 × 'Piel de sapo' melon genetic map has around 700 markers, of which more than 500 are gene-based markers (SNP, RFLP and SSR). This genetic map will be a central tool for the construction of the melon physical map, the step prior to sequencing the complete genome. Using the set of SNP markers, it was possible to define the genetic relationships within a collection of forty-eight melon accessions as efficiently as with SSR markers, and these markers may also be useful for cultivar identification in Occidental melon varieties.     

Porcine linkage and cytogenetic maps integrated by regional mapping of 100 microsatellites on somatic cell hybrid panel

Recently two main genetic maps [Rohrer et al. Genetics 136, 231 (1994); Archibald et al. Mamm. Genome 6, 157 (1995)] and a cytogenetic map [Yerle et al. Mamm. Genome 6, 175 (1995)] for the porcine genome were reported. As only a very few microsatellites are located on the cytogenetic map, it appears to be important to increase the relationships between the genetic and cytogenetic maps. This document describes the regional mapping of 100 genetic markers with a somatic cell hybrid panel. Among the markers, 91 correspond to new localizations. Our study enabled the localization of 14 new markers found on both maps, of 54 found on the USDA map, and of 23 found on the PiGMaP map. Now 21% and 43% of the markers on the USDA and PiGMaP linkage maps respectively are physically mapped. This new cytogenetic information was then integrated within the framework of each genetic map. The cytogenetic orientation of the USDA linkage maps for Chromosomes (Chrs) 3, 8, 9, and 16 and of PiGMaP for Chr 8 was determined. USDA and PiGMaP linkage maps are now oriented for all chromosomes, except for Chrs 17 and 18. Moreover, the linkage group ``R' from the USDA linkage map was assigned to Chr 6. Received: 21 September 1995 / Accepted: 19 January 1996     

Integration of the Aedes aegypti mosquito genetic linkage and physical maps

Two approaches were used to correlate the Aedes aegypti genetic linkage map to the physical map. STS markers were developed for previously mapped RFLP-based genetic markers so that large genomic clones from cosmid libraries could be found and placed to the metaphase chromosome physical maps using standard FISH methods. Eight cosmids were identified that contained eight RFLP marker sequences, and these cosmids were located on the metaphase chromosomes. Twenty-one cDNAs were mapped directly to metaphase chromosomes using a FISH amplification procedure. The chromosome numbering schemes of the genetic linkage and physical maps corresponded directly and the orientations of the genetic linkage maps for chromosomes 2 and 3 were inverted relative to the physical maps. While the chromosome 2 linkage map represented essentially 100% of chromosome 2, approximately 65% of the chromosome 1 linkage map mapped to only 36% of the short p-arm and 83% of the chromosome 3 physical map contained the complete genetic linkage map. Since the genetic linkage map is a RFLP cDNA-based map, these data also provide a minimal estimate for the size of the euchromatic regions. The implications of these findings on positional cloning in A. aegypti are discussed.     

Consensus and comprehensive linkage maps of bovine chromosome 24

This study describes development of a consensus genetic linkage map of bovine chromosome 24 (BTA24). Eight participating laboratories contributed data for 58 unique markers including a total of 25 409 meioses. Eighteen markers, which were typed in more than one reference population, were used as potential anchors to generate a consensus framework map. The framework map contained 16 loci ordered with odds greater than 1000:1 and spanned 79.3 cM. Remaining markers were included in a comprehensive map relative to these anchors. The resulting BTA24 comprehensive map was 98.3 cM in length. Average marker intervals were 6.1 and 2.5 cM for framework and comprehensive maps, respectively. Marker order was generally consistent with previously reported BTA24 linkage maps. Only one discrepancy was found when comparing the comprehensive map with the published USDA-MARC linkage map. Integration of genetic information from different maps provides a high-resolution BTA24 linkage map.     

Integration of the PiGMaP and USD A 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.     

First International Workshop on Porcine Chromosome 6

Recent advances in the use of microsatellite markers and the development of comparative gene mapping techniques have made the construction of high resolution genetic maps of livestock species possible. Framework and comprehensive genetic linkage maps of porcine chromosome 6 have resulted from the first international effort to integrate genetic maps from multiple laboratories. Eleven highly polymorphic genetic markers were exchanged and mapped by four independent laboratories on a total of 583 animals derived from four reference populations. The chromosome 6 framework map consists of 10 markers ordered with high local support. The average marker interval of the framework map is 15.1 cM (sex averaged). The framework map is 135, 175 and 109 cM in length (for sex averaged, female and male maps, respectively). The comprehensive map includes a total of 48 type I and type II markers with a sex averaged interval of 3.5 cM and is 166, 196 and 126 cM (for sex averaged, female and male maps, respectively). Additional markers within framework map marker intervals can thus be selected from the comprehensive map for further analysis of quantitive trait loci (QTL) located on chromosome 6. The resulting maps of swine chromosome 6 provide a valuable tool for analysing and locating QTL.     

Integration of the Physical and Genetic Linkage Map for Human Chromosome 13

We have used a panel of somatic cell hybrids containing different rearrangements of human chromosome 13 to integrate genetic and physical maps of this chromosome. The positions of 17 translocation/deletion breakpoints on human chromosome 13 have been determined relative to the microsatellite markers on the genetic linkage map compiled by Généthon. Because markers on maps from several other Consortium groups have also been analyzed using many of the same hybrids, it was possible to relate these with the Généthon map. The position of all of the chromosome breakpoints have been placed, wherever possible, between two adjacent markers on the genetic linkage maps using PCR analysis for the presence/absence of the markers in the somatic cell hybrids. The positions of the breakpoints have already been determined cytogenetically, and some of these breakpoints are located at landmark positions on the chromosome. The relative density of markers along the chromosome differs between independently derived maps, and, based on the known locations of certain breakpoints in the physical map, inconsistencies in the genetic maps have been identified.     

Single nucleotide polymorphisms for integrative mapping in the Turkey (Meleagris gallopavo)

When multiple genetic maps exist for a species, integration of these maps requires a set of common markers be genotyped across the individual mapping populations. In the turkey, three genetic maps based on separate mapping populations are available. In this study, SNP-based markers were developed for integrating the cDNA/RFLP-based map (1) with microsatellite markers of the second-generation turkey genome map (2). Forty-eight primer sets were designed and tested and 33 (69%) correctly amplified turkey genomic DNA by PCR. Putative SNPs were detected in 20 (61%) of the amplified gene fragments, and 10 SNP markers were subsequently genotyped by PCR/RFLP for segregation analysis. Eight SNP markers were incorporated into the turkey genetic map.     

Construction of black (Rubus occidentalis) and red (R. idaeus) raspberry linkage maps and their comparison to the genomes of strawberry, apple, and peach

The genus Rubus belongs to the Rosaceae and is comprised of 600-800 species distributed world-wide. To date, genetic maps of the genus consist largely of non-transferable markers such as amplified fragment length polymorphisms. An F(1) population developed from a cross between an advanced breeding selection of Rubus occidentalis (96395S1) and R. idaeus 'Latham' was used to construct a new genetic map consisting of DNA sequence-based markers. The genetic linkage maps presented here are constructed of 131 markers on at least one of the two parental maps. The majority of the markers are orthologous, including 14 Rosaceae conserved orthologous set markers, and 60 new gene-based markers developed for raspberry. Thirty-four published raspberry simple sequence repeat markers were used to align the new maps to published raspberry maps. The 96395S1 genetic map consists of six linkage groups (LG) and covers 309 cM with an average of 10 cM between markers; the 'Latham' genetic map consists of seven LG and covers 561 cM with an average of 5 cM between markers. We used BLAST analysis to align the orthologous sequences used to design primer pairs for Rubus genetic mapping with the genome sequences of Fragaria vesca 'Hawaii 4', Malus × domestica 'Golden Delicious', and Prunus 'Lovell'. The alignment of the orthologous markers designed here suggests that the genomes of Rubus and Fragaria have a high degree of synteny and that synteny decreases with phylogenetic distance. Our results give unprecedented insights into the genome evolution of raspberry from the putative ancestral genome of the single ancestor common to Rosaceae.     

A high-resolution consensus linkage map of the rat, integrating radiation hybrid and genetic maps

We have constructed a high-resolution consensus genetic map of the rat in a single large intercross, which integrates 747 framework markers and 687 positions of our whole-genome radiation hybrid (RH) map of the rat. We selected 136 new gene markers from the GenBank database and assigned them either genetically or physically to rat chromosomes to evaluate the accuracy of the integrated linkage-RH maps in the localization of new markers and to enrich existing comparative mapping data. These markers and 631 D-Got- markers, which are physically mapped but still uncharacterized for evidence of polymorphism, were tested for allele variations in a panel of 16 rat strains commonly used in genetic studies. The consensus linkage map constructed in the GK x BN cross now comprises 1620 markers of various origins, defining 840 resolved genetic positions with an average spacing of 2.2 cM between adjacent loci, and includes 407 gene markers. This whole-genome genetic map will contribute to the advancement of genetic studies in the rat by incorporating gene/EST maps, physical mapping information, and sequence data generated in rat and other mammalian species into genetic intervals harboring disease susceptibility loci identified in rat models of human genetic disorders.     

Map error reduction: using genetic and sequence-based physical maps to order closely linked markers

The Marshfield comprehensive genetic maps are frequently used for linkage and association studies, however, for some regions of these maps the marker order has low level of likelihood ratio support. In order to investigate the level of statistical support and the accuracy of the genetic maps compared to sequence-based physical maps, two approximately 30 cM autosomal regions were selected. The first region was selected from chromosome 3 and consisted predominately of draft sequence. The second region was selected from chromosome 21 and consisted of finished sequence data. The physical order of these markers was based upon their position on Celera (CEL) and Human Genome Project-Santa Cruz (HGP-sc) sequence-based physical maps. The chromosome 3 and 21 regions contained 100 and 61 markers, respectively, on the Marshfield genetic map. The genetic and physical map order was consistent for 88.9 and 89.2% of the markers in the region on chromosome 3 and 21, respectively. Using a novel scoring criterion to assess inconsistent marker order between genetic and physical maps, it was determined that the physical order was likely the correct order for 3.3 and 7.1% of the markers in the chromosome 3 and 21 regions, respectively. To increase the accuracy of the order of markers selected for fine mapping a method is presented which combines information from genetic and sequence-based physical maps.     

An integrated genetic/RFLP map of the Arabidopsis thaliana genome

We have assembled an integrated genetic/restriction fragment length polymorphism (RFLP) linkage map of the nuclear genome of the flowering plant Arabidopsis thaliana . The map is based on two independent sets of RFLP data, RFLP data for 123 new markers, and pair-wise segregation data of 125 classical genetic markers. Mathematical integration of the independent data sets was performed using the joinmap computer package. Sixty-two markers common to two or more data sets were exploited to facilitate integration of the individual maps. The current map, which encompasses a total genetic distance of 520 cM, contains 125 classical genetic markers and 306 RFLP markers. Comparison of the integrated consensus map with the individual maps demonstrates that the overall linear order of the integrated map is in good agreement with the component maps. It must be emphasized, however, that the integrated map represents the 'best fit' which is clearly subject to the statistical limitations of the available data. We present several examples where local differences in map order are observed between the integrated and component maps. It is likely, given the problems associated with statistical integration of mapping data from different populations, that the integrated map will contain additional local inconsistencies and problematic regions. None the less, the unified map provides a framework for building an increasingly accurate and useful map. Subsequent refinements of the map will be available electronically end researchers are invited to submit revised map data to the corresponding author for inclusion in future updates (see Appendix 1).     

Genetic Molecular Linkage Map Construction and Genome Analysis of Rice Doubled Haploid Population

A high density genetic linkage map comprised of aA. 4 loci was constructed from a doubled haploid population derived from a inter-subspecific cross between an Oryza satire L. ssp. Indica vari.t.v ("Zhaiyeqing 8") and a japonica variety ("Jingxi 17"). The genetic map consisted of 276 RFLP markers, 34 RAPD markers, 89 microsatellite markers, 10 AFLP markers, 26 markers based on telomeric repetitive associated sequence (TAS) and 9 isozyme markers. This genetic map was highly comparable with other high density rice genetic maps and had its unique feature which meritted it suitable for sustained genetic analysis.     

Simple sequence repeat map of the sunflower genome

Several independent molecular genetic linkage maps of varying density and completeness have been constructed for cultivated sunflower ( Helianthus annuus L.). Because of the dearth of sequence and probe-specific DNA markers in the public domain, the various genetic maps of sunflower have not been integrated and a single reference map has not emerged. Moreover, comparisons between maps have been confounded by multiple linkage group nomenclatures and the lack of common DNA markers. The goal of the present research was to construct a dense molecular genetic linkage map for sunflower using simple sequence repeat (SSR) markers. First, 879 SSR markers were developed by identifying 1,093 unique SSR sequences in the DNA sequences of 2,033 clones isolated from genomic DNA libraries enriched for (AC)(n) or (AG)(n) and screening 1,000 SSR primer pairs; 579 of the newly developed SSR markers (65.9% of the total) were polymorphic among four elite inbred lines (RHA280, RHA801, PHA and PHB). The genetic map was constructed using 94 RHA280 x RHA801 F(7) recombinant inbred lines (RILs) and 408 polymorphic SSR markers (462 SSR marker loci segregated in the mapping population). Of the latter, 459 coalesced into 17 linkage groups presumably corresponding to the 17 chromosomes in the haploid sunflower genome ( x = 17). The map was 1,368.3-cM long and had a mean density of 3.1 cM per locus. The SSR markers described herein supply a critical mass of DNA markers for constructing genetic maps of sunflower and create the basis for unifying and cross-referencing the multitude of genetic maps developed for wild and cultivated sunflowers.     

The Map Problem: A Comparison of Genetic and Sequence-Based Physical Maps

The genetic order of autosomal genome-scan markers from Marshfield panels 9 and 10 were compared with their physical order, on the basis of the assembled nonredundant human genome sequence from the Human Genome Project-Santa Cruz (HGP-sc; October 2000 and April 2001 releases) and Celera (CEL; February 2001 release) databases. The genetic order of 96% of the markers on the Marshfield map for panel 10 is supported by a likelihood ratio of > or = 3 (odds ratio of 1,000:1). Inconsistencies with the genetic panel 10 map were found for 5% and 2% of the markers in the CEL and HGP-sc sequences, respectively. These inconsistencies consisted of both positional and chromosomal-assignment disagreements. For the majority of these inconsistent markers, the genetic order was supported by a likelihood ratio of > or = 3, and the physical order in the other assembly matched the genetic order. The majority of the inconsistencies between the physical- and genetic-map order point to errors in the physical-map order. A Web site is made available that displays inconsistencies for genetic markers from Marshfield panels 9 and 10 between their genetic-map positions and sequence-based physical-map positions, as well as inconsistencies between their sequence-based physical position. This Web site also contains genetic-map distances, physical-map positions from the Celera and Human Genome Project sequence, and likelihood-ratio support for the genetic maps.