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. 2003 Apr 1;13(4):742–751. doi: 10.1101/gr.917503

The First-Generation Whole-Genome Radiation Hybrid Map in the Horse Identifies Conserved Segments in Human and Mouse Genomes

Bhanu P Chowdhary 1,10, Terje Raudsepp 1, Srinivas R Kata 2, Glenda Goh 1, Lee V Millon 3, Veronica Allan 3, François Piumi 4, Gérard Guérin 4, June Swinburne 5, Matthew Binns 5, Teri L Lear 6, Jim Mickelson 7, James Murray 8, Douglas F Antczak 9, James E Womack 2, Loren C Skow 1
PMCID: PMC430160  PMID: 12671008

Abstract

A first-generation radiation hybrid (RH) map of the equine (Equus caballus) genome was assembled using 92 horse × hamster hybrid cell lines and 730 equine markers. The map is the first comprehensive framework map of the horse that (1) incorporates type I as well as type II markers, (2) integrates synteny, cytogenetic, and meiotic maps into a consensus map, and (3) provides the most detailed genome-wide information to date on the organization and comparative status of the equine genome. The 730 loci (258 type I and 472 type II) included in the final map are clustered in 101 RH groups distributed over all equine autosomes and the X chromosome. The overall marker retention frequency in the panel is ∼21%, and the possibility of adding any new marker to the map is ∼90%. On average, the mapped markers are distributed every 19 cR (4 Mb) of the equine genome—a significant improvement in resolution over previous maps. With 69 new FISH assignments, a total of 253 cytogenetically mapped loci physically anchor the RH map to various chromosomal segments. Synteny assignments of 39 gene loci complemented the RH mapping of 27 genes. The results added 12 new loci to the horse gene map. Lastly, comparison of the assembly of 447 equine genes (256 linearly ordered RH-mapped and additional 191 FISH-mapped) with the location of draft sequences of their human and mouse orthologs provides the most extensive horse–human and horse–mouse comparative map to date. We expect that the foundation established through this map will significantly facilitate rapid targeted expansion of the horse gene map and consequently, mapping and positional cloning of genes governing traits significant to the equine industry.

[Supplemental material is available online at www.genome.org. The following individuals kindly provided reagents, samples, or unpublished information as indicated in the paper: R. Brandon, G. Lindgren, and I. Tammen.]


The primary aim of genome analysis in the horse is to generate composite map information for improving equine health, reproduction, and disease resistance. To achieve these goals, comprehensive knowledge of the genome will be instrumental in understanding the molecular causes underlying various equine hereditary disorders, and will be crucial in developing diagnostic and prevention/therapeutics approaches for these conditions. Additionally, other traits of significance such as coat color, etc., can be better addressed by understanding the molecular cause of variation in expression. Recent studies have shown that the mouse cannot be ‘taken for granted’ as a model animal for all human conditions (Rieder et al. 2000; Heinzerling et al. 2001), and that in some cases, the horse can be a better model (Rieder et al. 2000).

The First International Equine Gene Mapping Workshop (October 1995, Lexington, Kentucky, USA) signaled the beginning of an organized equine genomics program. Significant strides have since been made in expanding the gene map of the horse (Equus caballus; ECA, reviewed in Chowdhary and Raudsepp 2000). Currently ∼1200 markers have been mapped/assigned to various equine chromosomes using approaches such as synteny analysis (Caetano et al. 1999a,b; Shiue et al. 1999), genetic linkage mapping (Lindgren et al. 1998; Guérin et al. 1999, 2003; Swinburne et al. 2000a), and fluorescent in situ hybridization (FISH; e.g., Raudsepp et al. 1999; Godard et al. 2000; Lear et al. 2001; Mariat et al. 2001; Milenkovic et al. 2002). Among the recent prominent developments are the generation of preliminary radiation hybrid (RH) maps for chromosomes ECA1 and ECA10 (Kiguwa et al. 2000) and RH and comparative maps for some of the other equine chromosomes (Chowdhary et al. 2002; Raudsepp et al. 2002). Several years ago, a Zoo-FISH-based landmark comparison of the organization of horse and human genomes was provided by Raudsepp et al. (1996). Analyses of a somatic cell hybrid (SCH) panel (Caetano et al. 1999a,b; Shiue et al. 1999) and the use of horse and goat BAC clones as FISH probes on horse metaphase spreads (Godard et al. 2000; Milenkovic et al. 2002) have provided additional information.

With this progress, the current focus of equine genomics is to develop a high-resolution ordered physical map comprising: (1) uniformly distributed highly polymorphic markers and (2) a large set of ESTs or human/mouse orthologs that can provide a comprehensive comparative map. The former fulfills the need for the development of a robust genome scan panel that can help locate gene(s) governing traits of interest, and the latter is critical for candidate gene searches from the highly developed human and mouse genomes. RH cell lines are excellent for this purpose because they readily integrate markers from all sources into a consensus map using efficient and economic PCR-based typing (e.g., Geisler et al. 1999; Hukriede et al. 1999; Van Etten et al. 1999; Watanabe et al. 1999; Band et al. 2000; Murphy et al. 2000; Breen et al. 2001). The power of this approach has recently been exploited in the horse to obtain preliminary physical maps for some of the chromosomes (Kiguwa et al. 2000; Chowdhary et al. 2002; Raudsepp et al. 2002).

Expanding considerably on our earlier work, herein we report the use of a variety of markers—some already mapped using different approaches, and others newly generated—to develop the first physically ordered RH maps for all equine chromosomes, except the Y. The aim of this “first-generation RH map” is to integrate data from linkage, synteny, and FISH maps into a single consensus map for each of the chromosomes. The map thus generated will provide the most extensive coverage currently available for the equine genome with a variety of markers. Incorporation of equine orthologs for human genes in the RH map considerably enhances the comparative status of the horse genome in relation to human/mouse genomes. This will not only form the basis for initiating searches for genes of economic value to the equine industry, but will also be valuable in understanding the comparative organization and evolution of this perissodactyl genome in relation to other mammals or vertebrates.

RESULTS

The RH Map

A total of 901 markers were typed on the 5000rad International Equine Whole Genome RH panel. Of these, 40 markers (∼5%) either showed no amplification or were considered ‘unreliable’ because of inconsistent results, and therefore were discarded from further analysis. An additional 131 markers (14.5%) were considered unlinked at the threshold set for analysis (lod ≥ 7; RHMAP), leaving 730 markers (81%) clustered in 101 RH groups. Of these, 258 represented specific genes/ESTs (type I) and 472 were microsatellites (type II). The final or comprehensive map is comprised of 259 framework markers, around which the remaining 471 markers were positioned.

Estimated Size, Genome Coverage, Marker Distribution, and Retention Frequency

The estimated size of the RH map in this study, summed up over all the chromosomes (except the Y), is 14,587 centiRay (cR). The total map distance for individual chromosomes ranged from 102 (ECA26) to 958 cR (ECA1). Assuming that, like other mammals, the physical size of the equine genome is ∼3000 Mb, the map currently provides, on average, one marker every 4 Mb (∼19cR) of the equine genome. Further, 40 of the 901 markers could not be typed in the panel, indicating the coverage of the equine genome to be only ∼95%. However, considering that a total of 171 markers dropped out of the final analysis, this estimate reduces to ∼81%. The latter is certainly an underestimation, because the statistic excludes even those ‘unlinked’ markers (the group of 131 mentioned above) that are just short of the accepted threshold for inclusion in the RH groups. It is expected that several (if not all) of them will be incorporated in the map as its density improves. Hence, a realistic estimate of the genome coverage in the panel is probably ∼90%.

Of the markers incorporated in the RH map, the highest number of markers is located on ECA1 (63 markers; ECA1 is the largest chromosome), whereas only six markers were localized to ECA28 (the lowest number/chromosome). The latter is among the smallest equine chromosomes. However, if viewed in terms of density of markers per unit length of the chromosome, ECA11 appears to be the most densely mapped chromosome (13 markers/unit length), followed by ECA4 and ECA20 (∼10 markers/unit length). The corresponding value for ECA1 is 8.9, and for ECA28 is ∼3–4. Despite the differences, the entire horse genome is reasonably well covered with markers, especially for a first-generation RH map.

On average, 3–4 RH groups were found on each of the equine chromosomes, with the number ranging from 10 on ECA1 to only one each on, for example, ECA26–ECA29 (Fig. 1, enclosed poster). The relatively large number of RH groups on ECA1 could be attributed to more irradiation-induced breakages expected in large-sized chromosomes than in the smaller ones. The overall retention frequency of the markers in the panel is ∼21%, with a range of 11% for ECA1 to 37% for ECA11. Retention of markers was slightly higher than average in the pericentromeric regions of a number of meta- and submetacentric chromosomes (e.g., ECA1–10) and a few acrocentric chromosomes (ECA23). A similar marginally high retention frequency was observed towards the telomeric regions of some chromosomes (e.g., ECA3p, ECA6p, ECA13p, ECA16q, and ECA20q). On ECA11, the overall retention of markers was much higher on the short arm than the long arm, most likely due to the presence of the TK1 gene on ECA11p, which is preferentially retained in all cell hybrids.

FISH Mapping and Alignment of RH Maps

A total of 69 RH-mapped loci (33 genes and 36 microsatellites) were FISH-mapped. These represent new cytogenetic data on the equine genome. The majority of the loci mapped to ECA1 (19), ECA10 (12), ECA14 (12), and ECA17/21 (5 each), where the number of RH-typed markers is also relatively high. A complete list of all the markers FISH-mapped in this study is presented in Table 1. These localizations, together with published FISH data on 191 markers (see Chowdhary et al. 2002; Milenkovic et al. 2002; Raudsepp et al. 2002), provided 253 ‘anchors,’ 118 type I and 135 type II, that aligned 88 of the 101 RH groups to individual chromosomes, thus facilitating their physical placement and orientation. A distribution of the number of anchor markers by chromosome is presented in Table 2. The remaining 13 RH groups were placed using available genetic linkage information (Lindgren et al. 1998; Swinburne et al. 2000a; Guérin et al. 2003) and the RH2pt data for end markers with markers in the adjacent RH groups (Fig. 1, enclosed poster; see linkage groups with white bars).

Table 1.

Detailed Information on Individual Markers Typed in the Equine Whole-Genome RH Panel

Marker name/symbol Marker type or full name Location Primers 5′-3′ PCR product size (bp) MgCl2 (mM) Ta References Accession number
horse human
ICA16 microsatellite 1q F: TCACTGGGGGGTATATGCAT 121 3.0 58 AF043200
R: GATCCTACTCCACCTGAAGTGG
ICA20 microsatellite 1q13 F: TGGACAAAATGCAAAAGTCA 194 1.5 50 AF043202
R: TCCACTACACAGGAAAACGAA
ICA22 microsatellite 1 F: TGGGCAAGAGGACAAATAGC 208 3.0 58 AF043204
R: TGGCAGCCTTGGTTTGTACT
ICA24 microsatellite 1 F: AGATATTGGGGGCGGAAG 205 3.0 58 AF179211
R: TGGAGGTCAACTGGCTATCTC
ICA25 microsatellite 1q17.3 F: TCCAATTTTCCCCAATGGTA 206 3.0 58 AF043205
R: CTGCATTTTGACAATGGTGG
ICA28 microsatellite 1 F: CCTACGCCCACACTCACATA 213 1.5 58 AF043208
R: TGGACTTTCTTACCCCCAAA
ICA30 microsatellite 1p16 F: TGGGGAGGGGTTGTTCTAG 130 3.0 58 AF043209
R: GCTCTCCACTGCATGCATAA
ICA32 microsatellite 1 F: AGTTACCAAATGTCGCATTGC 107 1.5 58 AF043210
R: TTCATCTGTAAAATGGGCAGG
ICA40 microsatellite 1 F: TTGAAAGCCGTGTTTTTGTG 226 1.5 58 AF043213
R: ACCCCATGTTCTGACAAGGA
ICA41 microsatellite 1q15–  q16 F: CTGGTCAGGCCTATTACCCA R: AGATATTGGGGGCGGAAG 245 1.5 58 AF043214
ICA43 microsatellite 1q17.1–  q17.3 F: ATGGCATGATTTGCTTCTCC R: TGGAAACAACCTAAATGTCCA 122 1.5 58 AF043215
ICA44 microsatellite 1p16 F: GGCAGCACACCAAATCAAGT 203 2.0 58 AF043216
R: TCCTGCAAAACAACAGAGGA
AHT021 microsatellite 1q14– F: TCCAAGTTGCTGAATGGATC 199–215 2.0 58 Swinburne
q15 R: ACGGCCTGATTCTCTCTTTG  et al. 1997
AHT040 microsatellite 1q15– F: GCAAGTTCAGCACCTCCCT 230 2.0 58 Swinburne et AJ271525
q16 R: TTTATGACACCTGCTGAGAACG  al. 2000a
AHT058 microsatellite 1 F: CAGTGATGAGCCGCAAATAG 163–198 2.0 58 Swinburne AJ507675
R: TCTACCTATAATCCGCCTCCC  et al. 2003
ANXA2 annexin A2 1q21.3– 15q21– F: GTGGGGATGACTGAAGCCTGT 234 3.0 58 Fetal cDNA G62155
 q22  q22 R: CACTGCCAACTCCTTGGAATGT  library  EST#912
ANXA7 annexin A7 1 10q21.1– F: GCCGTCCTCACAGTCTTAT 856 3.0 58 Testis cDNA
 q21.2 R: GAGCTTGACCTCCAGGATA  library  #AM004_F05
ASB08 microsatellite 1q16– F: GACAACGTGGCAGCTCACTGCC 143 3.0 TD64 Breen et al. X95323
 q17 R: GCAAGTAAGCCATATGTGCATGCG  1997
ASB12 microsatellite 1q12– F: TCAGCAATAGAAGCCAGCTCC 170 3.0 65 Breen et al. X95327
 q13 R: TCCTATGGAGGTGACCTTCCC  1997
ASB41 microsatellite 1p14 F: AAAGTTCACTTAGTCCTTGG 129–159 3.0 TD64 Irvin et al. AF004771
R: CCACCTGTTTGCACTTGC  1998, Lear  et al. 1999
CMA1= chymase − 1q 14q11.2 F: GAATTGCTCCTCTGCAGGTC 200 1.5 TD60 Caetano et AF130752
 CHY  mast cell R: CCTGTAGGTCCCACCTCTGA  al. 1999a
COR006 microsatellite 1q25 F: GTTCTGCACATCCTGCTCTT 187–199 3.0 58 Hopman et AF083449
R: AGTGCCCTGAAACTGTATGG  al. 1999
COR046 microsatellite 1q17.1 F: TGTTTGCAAAGATATTGGGG 245–259 1.5 55 Ruth et al. AF108363
R: ACCTGGTCAGGCCTATTACC  1999
COR053 microsatellite 1 F: AATTGACTGTGGAAGCCTTG 173–197 3.0 55 Ruth et al. AF108370
R: GGCTGAGGAGTAAGCTGAAAG  1999
COR059 microsatellite 1p12.3–  p12.2 F: ATGAATGGCAAATTGAAGGA R: TTCTGTTTAGGGGCTCTTAGG 265–277 3.0 58 Ruth et al. 1999 AF108376

This is a portion of Table 1. Complete table is available as an online supplement. Data shown in bold (horse cytogenetic locations and primer sequences) represent work from the present study. S, new synteny mapped loci; TD, touch-down PCR; Ta, annealing temperature.

Table 2.

Detailed Chromosome-Wise Information on Different Parameters of the Horse RH and Comparative Maps

Horse chr. Size (Mbp) Size (cR) No. of RH groups Loci typed in the RH panel FISH loci included (TypeI + TypeII) Loci used for horse, human and mouse genome comparison
type I type II total total this study anchor loci
ECA1 204 958.8 10 15 48 63 45 19 26 30
ECA2 135 796.7 4 12 23 35 23 11 23
ECA3 132 724.4 3 15 14 29 21 11 24
ECA4 120 658.6 6 10 24 34 15 1 10 14
ECA5 111 591.5 3 14 11 25 19 7 25
ECA6 108 595.2 2 11 12 23 8 1 4 15
ECA7 105 550.8 3 8 16 24 26 1 8 26
ECA8 105 774.2 3 12 14 26 18 1 6 20
ECA9 99 530.6 3 8 14 22 11 3 14
ECA10 96 672.4 5 9 24 33 26 12 21 13
ECA11 72 650.2 5 20 14 34 26 2 17 28
ECA12 63 276.7 2 4 10 14 6 3 5
ECA13 60 144.4 4 4 9 13 10 5 8
ECA14 120 323.1 4 10 12 22 21 12 14 16
ECA15 111 290.7 4 4 18 22 19 1 8 13
ECA16 108 668.0 4 12 20 32 26 2 13 24
ECA17 102 293.0 3 6 14 20 10 5 7 9
ECA18 102 445.1 3 10 14 24 12 1 8 13
ECA19 96 410.2 3 4 22 26 11 6 8
ECA20 87 408.7 3 8 17 25 17 1 5 19
ECA21 81 306.8 3 7 11 18 11 5 8 9
ECA22 72 536.0 3 7 14 21 9 1 6 9
ECA23 69 293.5 3 7 13 20 11 1 7 11
ECA24 63 550.7 2 5 14 19 9 1 6 8
ECA25 60 206.5 2 3 7 10 5 1 7
ECA26 63 102.9 1 1 7 8 8 3 6
ECA27 57 168.6 1 1 7 8 2 2 1
ECA28 54 175.8 1 3 3 6 8 3 8
ECA29 51 278.0 1 4 7 11 3 1 2 5
ECA30 48 279.0 2 1 9 10 2 1 2
ECA31 45 172.8 1 3 7 10 6 4 5
ECAX 153 753.2 4 20 23 43 26 1 17 27
Total 2952 14587.1 101 258 472 730 470 69 253 447

The size of individual chromosomes in megabasepairs (Mbp) is deduced from the relative length of the chromosomes (ISCNH 1997) and presuming a genome size of 3000 Mbp. Anchor loci represent cytogenetically mapped type I or type II markers that align RH groups to chromosomes. Total number of loci used for horse-human-mouse genome-wide comparison includes all type I loci mapped by RH analysis and FISH (see text).

Synteny Mapping

A total of 39 new equine genes/ESTs were mapped using the UC-Davis somatic hybrid cell panel (see Caetano et al. 1999a; Shiue et al. 1999). The loci were distributed on 20 equine chromosomes. Twenty-seven of these loci are also on the RH map presented here. Except for HDAC1, the SCH mapping data for all loci are in agreement with the RH localizations. FISH data on 12 of the 39 loci (Lear et al. 2001; Mariat et al. 2001; Milenkovic et al. 2002) strongly support the synteny results.

Comparative Mapping

The RH map presented here incorporates a total of 258 type I markers. When compared to the estimated length of the RH map (14,587 cR), the markers are, on average, spaced every 50 cR (or ∼10 Mb) of the equine genome. To improve the density of this comparative framework, all previously FISH-mapped equine genes (see Chowdhary et al. 2002; Milenkovic et al. 2002; Raudsepp et al. 2002) were ‘placed’ in the physically ordered scaffold of the RH type I markers (Fig. 1, enclosed poster; see loci arranged next to colored vertical bars). The 253 ‘anchors’ aligning the RH and cytogenetic maps acted as guides to deduce the most likely location of these FISH-mapped genes in the assembly. For example, on ECA31, the FISH location of ‘anchor’ AHT34 helped to deduce the likely location of ESR as distal to PCMT1. Similarly, the location of IGF2R was inferred as proximal to VIP through the ‘anchor’ AHT033. Accordingly, a plausible order of three RH-mapped (PLG, VIP, and PCMT1) and two previously FISH-mapped genes (IGF2R and ESR) was derived. This improved the comparative power of the ECA31 map from three to five loci. Following this, a physically ordered collection of a total of 447 equine genes was obtained for comparison with the human and mouse gene maps.

Based on the comparative location of the 447 equine loci, a total of 44 conserved syntenies (two or more pairs of homologous genes located on the same chromosome regardless of order; Nadeau and Sankoff 1998; denoted by color bars next to the RH map in Fig. 1, enclosed poster) were identified between the human and the horse genomes. Additionally, eight smaller homology segments (one pair of homologous genes in two species; Nadeau and Sankoff 1998) comprising a single locus were found on some chromosomes, for example, ECA1 (COMT) and ECA2 (ACADL). Five of these segments originate from results compiled from Milenkovic et al. (2002), and two are novel. The latter are based on the mapping of FABP3 (ECA2q-HSA1) and ARPC3 (ECA9q-HSA12). Compared to this, the horse and mouse genomes demonstrated a total of 71 conserved syntenies (comprising ≥2 loci; see mouse chromosomal location of equine orthologs in Fig. 1, enclosed poster) and 41 homology segments (each comprising a single comparatively mapped locus) between the two species. Overall, the horse–human conserved syntenies were larger than the horse–mouse conserved syntenies. Nonetheless, some entire chromosomes or chromosome arms (e.g., ECA17-HSA13-MMU11 and ECA22-HSA20, part of MMU2) were completely conserved among the three species.

In order to produce a refined comparative map, the precise sequence locations of human and mouse orthologs for all the 447 physically arranged equine genes were obtained from the available draft sequence data (http://genome.ucsc.edu; version June 2002 for human and February 2002 for mouse). If sequence locations of a group of human or mouse orthologs indicated conservation of gene order in relation to the derived order of equine genes, the data were clustered in boxes (see Fig. 1, enclosed poster). These clusters, referred to as conserved linkages (maximally contiguous chromosomal region with identical gene content and order; Nadeau and Sankoff 1998), showed a group of genes with similar physical order in horse–human or horse–mouse. In the majority of the cases, clustering highlighted smaller evolutionarily conserved segments within the larger conserved syntenies.

Within the 44 horse–human conserved syntenies, 84 distinct clusters or conserved linkages of human loci were established where the gene order was conserved between the two species. These conserved linkages included 87% (391/447) of the compared loci. Conversely, the 71 horse–mouse conserved syntenies split into 80 conserved linkages that shared highly conserved gene order with the horse. However, it is noteworthy that, on average, these conserved linkages were smaller than those observed between horse and human, and included only 66% (297/452) of the compared loci. It was observed that for some of the equine chromosomes (e.g., ECA18 and ECA21), the comparative order of the human and mouse orthologs was exceptionally conserved with available equine order. Contrary to this, considerable rearrangements were detected in a few other chromosomes (e.g., ECA7 and ECA16). Lastly, comparison of gene order of the 447 loci across horse, human, and mouse showed 85 clusters of genes that had highly conserved gene order in all three species (Fig. 1, enclosed poster; see yellow horizontal shades across horse–human–mouse gene order). These clusters of conserved linkages were demarcated when the gene order was disrupted between syntenic loci in human or mouse. For example, on ECAXq, the two distal clusters are separated because of gene order disruption in the mouse at PAK3 and IGSF1. Of the 85 clusters, 59 had ∼3–10 ordered loci each, and 23 had two loci each that were located close to each other among horse, human, and mouse.

DISCUSSION

This study provides the first whole-genome radiation hybrid map of the equine genome. The map comprises a total of 730 markers that are distributed over 31 equine autosomes and the X chromosome. This represents a greater than twofold expansion over the previously presented linkage (Guérin et al. 1999, 2003; Swinburne et al. 2000a) and comparative (Milenkovic et al. 2002) maps. Although the locus order in the RH map is in general agreement with that reported in published maps (Guérin et al. 1999, 2003; Swinburne et al. 2000a), some differences, mainly attributed to improved resolution, are evident. Examples of these are shown in later sections. Most significantly, for the first time, a true integration of the equine genetic linkage, syntenic, and cytogenetic maps has been achieved, thus producing a map that is, to date, the most comprehensive for this species. Moreover, with greater than 258 physically ordered gene-specific/EST markers, the map is hitherto the most current linearly ordered comparative map of the horse genome.

In terms of number of mapped type I and type II loci, the RH map generated in this study is comparable to contemporary first-generation maps in several species (see Table 3; pig, Hawken et al. 1999; cat, Murphy et al. 2000; dog, Priat et al. 1998; zebrafish, Hukriede et al. 1999). Some of the maps, for example, those for ECA1, 10, 11, 14, 16, and X are exceptionally well covered with markers compared to the current status for these chromosomes in the horse. However, other chromosomes (e.g., ECA12 and ECA23 to ECA30) need new gene-specific markers, and there are still others that require type II polymorphic markers (e.g., ECA28). On the whole, the map is an important foundation upon which a detailed map of the equine genome can be built.

Table 3.

Comparative Statistics on Major Parameters of Whole-Genome RH Maps (First Generation and Subsequent Maps) in Horse and Other Species

Species Number of markers Resolution Reference
RF total genes/EST MS/STS
Human (GB4; 3000rad) 29% 1085 374  711 1.1 Mb Gyapay et al. 1996
Human (GB3; 10000rad) 16% 10478 3836 6642 240 kb Stewart et al. 1997
Mouse (T31; 3000rad) 24% 271  271 145 kb McCarthy et al. 1997
Rat (T55; 3000rad) 27% 5255 522 4733 410 kb Watanabe et al. 1999
Zebrafish (T51; 3000rad) 18% 1275 355  920 350 kb Geisler et al. 1999
(LN54; 5000rad + 4000rad) 22% 703      500 kb Hukriede et al. 1999
Dog (5000rad) 21% 400 218  182 630 kb Priat et al. 1998
 Upgraded 1500 320 1078      ? Breen et al. 2001
Pig (7000rad) 29% 757 71  686 145 kb Hawken et al. 1999
Cattle (5000rad) 22% 1087 768  319 500 kb Band et al. 2000
 (3000rad) 28% 1200 <50 most       ? Williams et al. 2002
Cat (5000rad) 39% 600 424  176      ? Murphy et al. 2000
Horse 22% 733 275  458 ∼1 Mb This study

The number of RH groups reported in this study (101) is higher than those reported for first-generation RH maps in other domesticated species such as the dog (57, Priat et al. 1998) and cattle (61, Band et al. 2000), but lower than those reported in pigs (128, Hawken et al. 1999) and zebrafish (190, Geisler et al. 1999). The average retention frequency of markers in the horse RH panel is similar to the estimates reported for dog, cattle, human, and zebrafish. However, higher estimates have been reported for pig, cat, human, rat, and mouse (see Table 3 for details).

Resolution

The resolution of the panel, often referred to as the shortest physical distance that can be resolved using the panel (McCarthy et al. 1997), is projected as a function of average retention frequency and the total length of the map in cR. In this study, 1 cR corresponds to ∼200 kb, implying that the average fragment size of retained horse chromosomes in the panel is around 20 Mb. This divided by the number of hybrid lines (92) × retention frequency (22/100 or .22) suggests a resolution of ∼1 Mb for our panel. To our understanding, this estimate is tentative, because actual cR distances are not available for the entire length of all horse chromosomes. Presuming that at least 50 cR separates current RH groups, the 50–60 gaps between different RH groups alone will contribute an additional ∼3000cR. This is bound to deflate the current kb/cR estimates and show a lower estimate (better resolution) than is now predicted. Thus, true resolution of the panel will only be known when the density of markers is improved and an enhanced framework map signifying accurate intermarker distances is constructed.

Cytogenetic Alignment of RH Maps

While generating RH maps, accurate alignment of RH groups to specific chromosomal regions is crucial. This alignment becomes even more significant if there is limited support from the meiotic maps. The currently available meiotic maps in the horse (Newmarket: Swinburne et al. 2000a; International: Guérin et al. 1999, 2003) are comprised of about 325 markers, of which only 85 have been cytogenetically mapped (on average 2–3 markers/chromosome). The RH map presented here marks a threefold increase in the number of markers, with a total of 253 of the typed markers aligned by FISH, and 69 markers reported for the first time. This significantly facilitated the placement and orientation of different RH groups, and provided validation for the suggested order. Although the cytogenetic alignment of the RH map is fairly uniform along the length of the majority of the chromosomes, some chromosomes (e.g., ECA25–ECA30) and chromosomal regions (e.g., middle part of ECA6, ECA7, ECA10, and ECA17) require additional FISH markers.

FISH localizations of some of the loci reported earlier do not agree with the proposed RH order. For example, assignment of microsatellite AHT27 to ECA12q (Swinburne et al. 2000b) does not agree with the RH markers assigned to this arm. Instead, the locus shows close linkage with microsatellites SG10 and RKJ12, of which the former is FISH-mapped to the short arm. It is therefore likely that due to misidentification of the arm (common for small metacentric chromosomes), AHT27 was allocated to the long arm. By moving the locus to a corresponding position on the short arm, the FISH and RH maps align perfectly. Whether a similar situation also exists for MT2A on ECA13p should be verified, because the human ortholog for this equine gene is on HSA16, which shares homology with the long arm of the chromosome and not the short arm (Raudsepp et al. 1996). Localization of F11 is discussed in greater detail in the Comparative Map section below.

Integration of Different Maps: A Step Towards a Consensus Map

The RH map presented in this study represents the first organized effort aimed at genome-wide integration of the syntenic, cytogenetic, and meiotic maps of the horse into a single consensus map. Until now, the synteny mapping approach in the horse (Caetano et al. 1999a; Shiue et al. 1999) has been instrumental in assigning markers to specific equine chromosomes, whereas meiotic linkage mapping (Newmarket: Swinburne et al. 2000a; International: Guérin et al. 1999, 2003) has played an important role in identifying and ordering linked markers. However, because very few linked markers are cytogenetically aligned, it is difficult to ascertain the precise physical span of individual linkage groups on the chromosomes. Earlier attempts to improve this status were restricted to ECA1 and ECA10 on a preliminary level (Kiguwa et al. 2000) and ECA11 (Chowdhary et al. 2002) and ECAX (Raudsepp et al. 2002) on a more extended level. Thus, for the first time, ∼340 meiotic, 395 syntenic, and >400 cytogenetic markers are integrated, resulting in consensus maps for each of the equine chromosomes. These maps will be extremely useful in devising strategies to close in on genes governing traits of interest in the horse.

Improved Resolution Over Previous Linkage, Cytogenetic, and RH Maps

The RH map presented herein helps resolve the order of a number of markers clustered at one location in the reported cytogenetic (Godard et al. 2000; Mariat et al. 2001; Milenkovic et al. 2002; this study) and linkage maps (Lindgren et al. 1998; Swinburne et al. 2000a; Guérin et al. 1999, 2003). For example, the RH map linearly orders markers that are FISH-mapped to overlapping bands (e.g., COR46-LEX58-TJP1-1CA43 on ECA1p) or even to the same band of the chromosome (e.g., 1CA44-1CA30 and CA487-VHL134 on ECA1p and COR006-HMS7 on ECA1q). Likewise, compared to previously published linkage (Swinburne et al. 2000a) and RH (Kiguwa et al. 2000) maps, the current RH map of, for example, ECA1 resolves and rearranges the order of a number of markers clustered at the proximal (e.g., 1CA44-ASB41-1CA30) and distal ends (e.g., 1CA16, HMS7, COR006, and 1CA40) of the chromosome (see Fig. 1, enclosed poster). Similarly, the RH map readily resolves the order of meiotic map markers UCD304-HMS05-HTG15 clustered on ECA5 (Swinburne et al. 2000a), and assigns them to the proximal part of ECA5q—which could not be done previously.

The first-generation RH map shows marked improvement over the recently published 3000rad preliminary RH maps of ECA1 and ECA10 (Kiguwa et al. 2000). On both chromosomes, the total number of mapped markers is almost doubled, new polymorphic markers are included, and several new FISH localizations have been added. With regard to the very recently published maps of ECA11 (Chowdhary et al. 2002) and ECAX (Raudsepp et al. 2002), the new maps show reasonable improvement. Major contributions include the addition of eight genes/ESTs to ECA11 and four new genes and five microsatellite markers to ECAX. Except for minor flips involving closely linked loci, the overall order between the new and the previous RH maps is preserved on both chromosomes.

The Comparative Map

Together with the 258 linearly ordered type I loci in the RH map, the compilation of all the mapped equine genes provided a total of 447 gene-based markers that facilitated the generation of the most comprehensive comparative map between horse and human to date, and the first detailed comparative map between horse and mouse. This represents ∼185 more genes compared to the most recent horse–human comparative map (Milenkovic et al. 2002). Although the assembly of the equine genes does not provide precise linear order, it does offer a reliable working framework for comparison. Within this framework, no drastic locus order changes are expected, especially within the conserved syntenic blocks, because the overall order is strongly supported with 256 linearly arranged RH-mapped loci and the 191 moderately well positioned FISH markers.

Of considerable significance is the mapping of the first equine gene (F11) to ECA27. This helped infer likely correspondence of the latter with part of HSA4. Earlier comparative studies (Raudsepp et al. 1996; Caetano et al. 1999a; Godard et al. 2000; Lear et al. 2001; Mariat et al. 2001; Milenkovic et al. 2002) could not detect equivalence of this chromosome with any of the human or mouse chromosomes. It is noteworthy that using a goat BAC clone, Milenkovic et al. (2002) FISH-mapped F11 to ECA3. However, we found the locus to be tightly linked to the RH group assigned to ECA27. Further, most of the loci in the RH group are also in the genetic linkage group assigned to this chromosome (Swinburne et al. 2000a). Thus it seems that the goat BAC used by Milenkovic et al. (2002) resulted in an erroneous assignment of the locus to ECA3. Sequencing of the PCR product obtained during RH typing further verified the locus to be indeed F11.

The overall number of major horse–human conserved syntenies reported in the present study is in close agreement with earlier Zoo-FISH findings (Raudsepp et al. 1996). However, the figure is less than half of the 113 conserved segments reported in the two species by Milenkovic et al. (2002). This large discordance is primarily related to the way the segments were counted in the two studies. Schibler et al. (1998), Band et al. (2000), Pinton et al. (2000), and Milenkovic et al. (2002) divided large conserved syntenies into smaller segments on the basis of preserved or disrupted chromosome band order of the mapped loci in the human. This resulted in a significantly higher count of conserved segments in all four species (goat, 107; cattle, 105; pig, 84; horse, 113). Contrary to this, Watanabe et al. (1999) disrupted conserved syntenies only when linearly arranged rat orthologs were from different human/mouse chromosomes, an approach followed in the present study. This explains why, for example, with only 12 mapped markers each on ECA11 and ECAX, Milenkovic et al. (2002) show 6–7 conserved segments for individual human counterparts (HSA17 and HSAX, respectively), compared to only one shown in the present study despite twice the amount of data. However, if the 84 horse–human conserved linkages we observed are compared with the number of conserved segments reported in different livestock species (Schibler et al. 1998; Band et al. 2000; Pinton et al. 2000; Milenkovic et al. 2002), our estimates are at the lower end of the spectrum.

The most striking genome conservation between horse and human was seen on ECA4, 5, 17, 18, 21, 25, and 31 and their human counterparts (see Fig. 1, enclosed poster), where the derived equine gene order closely corresponded to the order reported in the draft sequence of the human genome. A similar situation was also observed on ECA3p, ECA6p, and ECA14. However, of greatest significance was the striking conservation of gene order among ECA3p, ECA6p, and ECA22 genes and their human and mouse homologs: HSA16q/part MMU8, HSA2q/part MMU1, and HSA20/MMU2, respectively. Incidentally, HSA20 represents one of the most conserved mammalian autosomes (Chowdhary et al. 1998; Haig 1999). Similarly, genomic segments corresponding to HSA16q and HSA2q are considered evolutionarily highly conserved (Chowdhary et al. 1998; http://www.informatics.jax.org/menus/homology_menu.shtml, Murphy et al. 2000). Detection of conserved gene order for these segments in the horse is novel and reiterates their ancestral status. Contrary to this, gene order within some of the large conserved syntenies in the horse (e.g., entire ECA16 corresponds to HSA3p or 3q) was found to be considerably rearranged in relation to the observed order of the same genes in human and mouse. This is evident from the greater number of conserved linkages for this chromosome compared to those seen on other chromosomes (see Fig. 1, enclosed poster).

The identification of 85 clusters of loci demonstrating gene order conservation (conserved linkages) across horse, human, and mouse (yellow-shaded regions, Fig. 1, enclosed poster) was extremely significant. Basically, these clusters are core blocks within the conserved syntenies, where the gene order is reasonably well preserved across evolutionarily diverged species. Hence it is tempting to speculate that these segments represent potentially the most conserved genomic regions of the ancestor common to horse, human, and mouse. Discovery of these conserved linkages provides a quick comparative overview of smaller genomic blocks shared among the three species and signifies an important advance in accurate alignment of the three genomes.

Overview

The RH and comparative map presented here is the most elaborate and dense map in the horse produced to date. Among farm animals, the map ranks fifth after cattle, dog, chicken and pig. Translating the quote of Flaherty and Herron (1998) for the mouse RH map, the horse map is the “new kid on the block”. This new comprehensive and integrated map will enable equine geneticists to perform a range of studies at a resolution not available earlier. Because the map is linearly ordered and reasonably well aligned along the length of individual equine chromosomes, its overall ability to facilitate accurate mapping of markers/traits of interest is greatly enhanced. Moreover, with the largest assembly of type I markers in the horse, the alignment of the horse genome with human and mouse genomes is markedly refined. This will facilitate the use of the highly developed human and mouse gene maps in searching for candidate gene(s) implicated in various inherited conditions important to the equine industry. In evolutionary terms, the findings are significant in providing upgraded comparative information on the genome organization of an additional mammalian order—the Perissodactyla, for which such detailed information was not available earlier.

Finally, with the availability of an informative RH panel to the equine gene-mapping community worldwide, and the installation of an instant two-point linkage output Web interface (installation in progress), investigators in any country will be able to readily map any locus of interest to the equine genome. This will certainly speed up the rapid determination of likely locations of candidate genes, and facilitate positional cloning.

METHODS

Markers for RH Mapping

A total of 901 markers chosen from a variety of sources were used in this study. Primer pairs for the majority of the markers were available either from databases (HorseBase: http://locus.jouy.inra.fr/cgi-bin/lgbc/mapping/common/intro2.pl?BASE=horse, http://roslin.thearkdb.org/; NCBI: http://www.ncbi.nlm.nih.gov) or from published papers and personal resources (Dr. R. Brandon, University of Queensland, Australia). ESTs were generated from an equine testis cDNA library (kindly provided by Dr. N. Ing, Texas A&M University, Texas). Sequencing of 3360 clones yielded 2090 high-quality sequences. Both ends of each sequence were compared against dbEST and databases of GenBank using BLAST (http://www.ncbi.nlm.nih.gov/BLAST/) to produce 1732 equine sequences with significant hits (90% or more sequence similarity) to human genes or ESTs. Redundant sequences, especially those representing mitochondrial DNA or genome-wide gene families such as ribosomal RNA, were discarded. On the basis of human orthologs and horse-human Zoo-FISH data (Raudsepp et al. 1996), the sequences were classified into groups that would most likely map to a specific horse chromosome. Primer pairs were designed in the 3′UTR, using Primer3 software (http://www-genome.wi.mit.edu/cgi-bin/primer/primer3_www.cgi) to produce a PCR amplification product of 150–300 bp in size. This yielded 76 primer pairs, of which 28 were typed on the RH panel. Lastly, primer pairs were designed for two putative equine orthologs using alignments of human, mouse, and other mammalian sequences to identify conserved regions. A chromosome-wise list of all the markers included in this study, along with details on origin/source, symbols, primer sequences, PCR conditions, and references is presented in Table 1.

RH Panel Typing and Analysis

A 5000rad whole-genome RH panel comprised of 92 hybrid cell lines was typed by PCR as described (Chowdhary et al. 2002). PCR conditions for each of the primer pairs were optimized so that only horse-specific amplification products were obtained. All markers were typed in duplicate along with horse, hamster, and a ‘no-DNA’ control. PCR products were resolved on 2.5% agarose gels (containing 0.25μg/mL ethidium bromide) and scored manually.

Initially markers were assigned to groups on the basis of confirmed mapping data (linkage, synteny, cytogenetic, and Zoo-FISH). Using RHMAPPER software (Slonim et al. 1997), markers with unknown locations were assigned to individual chromosomes at lod ≥ 11.0. Following this, RHMAP 3.0 software (Boehnke 1992; Lunetta et al. 1995) was used for all analyses. RH groups within individual chromosomes were obtained at lod ≥ 7.0 using the RH2PT program. Frameworks were obtained at lod 3 (1000:1), and a comprehensive map was built by placing the remaining markers in relation to the framework map. RH groups with no framework markers were ordered at a threshold of lower than 1000:1. Orientation of multiple RH groups on a single chromosome was accomplished using cytogenetic and linkage data and 2pt lod score values of the end marker with markers in adjacent groups. RH groups with no cytogenetic alignment were placed solely on the basis of linkage data (Lindgren et al. 1998; Swinburne et al. 2000a; Guérin et al. 1999, 2003).

BAC Library Screening and Fluorescent In Situ Hybridization (FISH)

The INRA equine BAC library was screened by PCR for 78 markers (37 genes and 41 microsatellites) as described in detail elsewhere (see Milenkovic et al. 2002). Briefly, PCR primers for individual markers were used to identify positive clones. These clones were grown overnight, and DNA was isolated from each of them. Approximately 1 μg DNA from each of the BACs was biotin-labeled, dissolved in 20 μL hybridization mix (50% formamide, 2 × SSC, 10% dextran sulfate), and hybridized to horse metaphase spreads. The signals were detected with FITC-conjugated antibodies, and chromosomes were counterstained with DAPI. Hybridization results were examined and analyzed using a Zeiss Axioplan2 fluorescent microscope and Cytovision/Genus application software version 2.7 (Applied Imaging).

Synteny Mapping

The UC-Davis somatic cell hybrid synteny panel is described elsewhere (Caetano et al. 1999a,b; Shiue et al. 1999). A modified panel representing a more unique set of 70 clones (vs. the 108 hybrid clones present in the original panel) was used. A total of 39 equine genes/ESTs were synteny-mapped. Primer pairs for 33 ESTs were from a horse fetal cDNA library (60-day whole fetus; Dr. R. Brandon, University of Queensland, Australia). Primers for six genes were generated in the following way: CATS (Lyons et al. 1997) or universal primers (Venta et al. 1996) were used to amplify horse-specific PCR product. The PCR product was sequenced, and horse-specific primers were then designed. Details on gene names, primer pairs, PCR conditions, etc. are provided in Table 1. Following typing of the panel by PCR, the products were run on a 2% agarose gel, and the results were scored as + or −. Correlation coefficients were calculated between all markers as described (Caetano et al. 1999a,b). A correlation value of 0.70 was accepted as evidence for synteny between two markers (Chevalet and Corpet 1986).

WEB SITE REFERENCES

http://genome.ucsc.edu; human genome browser.

http://www.informatics.jax.org/menus/homology_menu.shtml; mammalian homology and comparative maps.

http://locus.jouy.inra.fr/cgi-bin/lgbc/mapping/common/intro2.pl?…BASE=horse; horsemap database.

http://roslin.thearkdb.org/; ARKdb farm animal genome database.

http://www.ncbi.nlm.nih.gov; National Center for Biotechnology Information (NCBI) databases.

http://www.ncbi.nlm.nih.gov/BLAST/; BLAST search programs.

http://www-genome.wi.mit.edu/cgi-bin/primer/primer3_www.cgi; NCBI database for primer design.

Acknowledgments

This project was funded by grants from the Texas Higher Education Board (ARP 010366-0162-2001), NRICGP/USDA Grant 2000-03510 (LCS), Texas Equine Research Foundation (BPC, LCS), Link Endowment (BPC, LCS), The Morris Animal Foundation, and the Dorothy Russell Havemeyer Foundation. Additional support was available from the USDA-NRSP-8 Coordinators Fund. We are extremely grateful to Drs. Richard Brandon, Gabriella Lindgren, and Imke Tammen for providing equine primer pairs for various markers. Dee Honeycutt is gratefully acknowledged for her excellent management of the horse RH panel.

The publication costs of this article were defrayed in part by payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 USC section 1734 solely to indicate this fact.

E-MAIL bchowdhary@cvm.tamu.edu; FAX (979) 845-9972.

Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.917503.

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