A dense SNP-based linkage map for Atlantic salmon (Salmo salar) reveals extended chromosome homeologies and striking differences in sex-specific recombination patterns
© Lien et al; licensee BioMed Central Ltd. 2011
Received: 27 June 2011
Accepted: 19 December 2011
Published: 19 December 2011
The Atlantic salmon genome is in the process of returning to a diploid state after undergoing a whole genome duplication (WGD) event between 25 and100 million years ago. Existing data on the proportion of paralogous sequence variants (PSVs), multisite variants (MSVs) and other types of complex sequence variation suggest that the rediplodization phase is far from over. The aims of this study were to construct a high density linkage map for Atlantic salmon, to characterize the extent of rediploidization and to improve our understanding of genetic differences between sexes in this species.
A linkage map for Atlantic salmon comprising 29 chromosomes and 5650 single nucleotide polymorphisms (SNPs) was constructed using genotyping data from 3297 fish belonging to 143 families. Of these, 2696 SNPs were generated from ESTs or other gene associated sequences. Homeologous chromosomal regions were identified through the mapping of duplicated SNPs and through the investigation of syntenic relationships between Atlantic salmon and the reference genome sequence of the threespine stickleback (Gasterosteus aculeatus). The sex-specific linkage maps spanned a total of 2402.3 cM in females and 1746.2 cM in males, highlighting a difference in sex specific recombination rate (1.38:1) which is much lower than previously reported in Atlantic salmon. The sexes, however, displayed striking differences in the distribution of recombination sites within linkage groups, with males showing recombination strongly localized to telomeres.
The map presented here represents a valuable resource for addressing important questions of interest to evolution (the process of re-diploidization), aquaculture and salmonid life history biology and not least as a resource to aid the assembly of the forthcoming Atlantic salmon reference genome sequence.
Atlantic salmon (Salmo salar) belongs to the subfamily Salmoninae in the order Salmoniformes. The common ancestor of the salmonid fishes is suspected to have undergone a whole genome duplication (WGD) 25-100 million years ago . Today, salmonids have karyotypes containing various numbers of metacentric and acrocentric chromosomes likely arising through Robertsonian fissions and fusions of ancestral acrocentric chromosomes . Atlantic salmon possesses a karyotype with 72-74 chromosome arms, compared to approximately 100 chromosome arms found in other family members. The presence of multivalent pairing at meiosis and evidence of tetrasomic inheritance  suggest that the post-tetraploidization return to disomic inheritance is not yet complete. A model of "secondary tetrasomy" in which homologous chromosomes first pair and then recombine in regions proximal to the centromere before undergoing homeologous pairing and recombination toward the distal end of the chromosome has been suggested for the salmonid species . Further, Ohno et al.  suggested that the genomes of salmonids have been reverting toward a diploid state through the differentiation of duplicated chromosome sets into distinct pairs of homeologs. How an inherently unstable duplicated genome reverts to a stable diploid state is poorly understood. Although large-scale deletions, gene silencing and chromosomal rearrangements are all thought to be a part of this process, it is not known if these events occur randomly along different lineages or if there is a burst of activity immediately after the duplication followed by stability in the resulting genomes .
A linkage map constructed from carefully chosen genetic markers could be a valuable tool to investigate some of these questions. Marker development and construction of genetic maps characterizing the inheritance patterns of traits and markers have proven invaluable for addressing important biomedical, agricultural, ecological and evolutionary questions. Genetic maps in species of the subfamily Salmoninae [6–15], including Atlantic salmon, have relied primarily on microsatellite markers. The biallelic nature of single nucleotide polymorphisms (SNPs) makes them less informative, but they are abundant and highly suitable for cost effective high-throughput genotyping. As a result SNPs have emerged as the genetic marker of choice for large-scale linkage and association studies, genomic predictions, pedigree and broodstock analysis, linkage disequilibrium and haplotype mapping, and even population biology studies. If SNPs are developed from sequences associated with genes (e.g. expressed sequence tags; ESTs) they become particularly useful in comparative mapping. The interpretation of SNP data in Atlantic salmon is complicated by the WGD, which has made it difficult to differentiate between single locus SNPs and the more complex paralogous sequence variants (PSVs) and multisite variants (MSVs), which arise from gene duplicates [16, 17].
Recently we have developed an Illumina iSelect SNP genotyping chip, containing approximately 6 K SNP-assays. Approximately half of the SNPs on the array were identified from EST alignments [18, 19], with most of the remainder coming from 454 sequencing of a random genomic sample collected by preparing reduced representation libraries from individual and pooled DNA samples. We used this chip to genotype a large set of family material from a Norwegian aquacultural population and to construct a dense linkage map for Atlantic salmon. The fact that half of the SNPs were developed from ESTs or other gene associated sequences, facilitated identification of homeologous regions in Atlantic salmon genome and allowed us to build syntenic relationships between Atlantic salmon and the reference genome sequence of the threespine stickleback.
Results and discussion
Linkage map construction
Linkage mapping based on genotyping of 3297 Atlantic salmon from 143 families resulted in a linkage map with a total of 5650 SNPs. Linkage groups were translated to chromosomes following the nomenclature suggested by Phillips et al.  after comparing positions of markers included in the studies of Moen et al. , Danzmann et al.  and Lorenz et al. . Our linkage mapping identified 29 linkage groups which agrees with the most common karyotype in European Atlantic salmon. Thus, the 29 linkage groups reported here likely correspond to the 29 chromosome pairs of the 'European karyotype' reported by Phillips et al. .
Difference in recombination patterns between sexes
Summary of the Atlantic salmon linkage map
Linkage group size (cM)
Number of SNPs
Clustering and mapping of MSVs
Identification of homeologous chromosome regions
Homeologous chromosome regions in the Atlantic salmon genome identified by mapping of MSV-5s, sequence alignments within salmon SNP-sequences (Salmon BLAST) and alignments against the stickleback genome sequence (Stickleback BLAST)
Danzmann et al (2008)
To validate these putative homeologies, and to identify other homeologous regions, sequences flanking mapped SNPs and MSVs were aligned against each other using BLAST  to identify paralogs. The BLAST analysis generated a list of 206 SNP-bearing sequences with BLAST similarities to two Atlantic salmon chromosomes, for which 98 had been previously identified from MSV-5 data (Table 2). To safeguard against false positives homeology between two chromosomes was determined by a minimum of three SNP-bearing sequences. This search provided additional evidence for the eight homeologous regions identified by MSV-5 mapping and highlighted 14 new regions, producing a total of 22 regions (Table 2). Among these, six homeology predictions have been reported in previous studies [6, 20].
Recombination patterns and the post-tetraploidization process
A key event during re-diploidization is the switch from tetrasomic to disomic inheritance, i.e. from having four chromosomes forming a quadrivalent to having two pairs each forming a bivalent during meiosis. Most present-day salmonids seem to have restored disomic inheritance across most of the genome as a part of the post-tetraploidization events, but meiotic multivalent and tetrasomic inheritance, especially in males, is well documented for several species within the Salmonidae e.g., rainbow trout  and brown trout . The origin of such sex differences remains unclear, although it has been suggested that multivalent formation may be constrained during female meiosis due to greater specificity in the initiation of chromosome pairing relative to males . A two-stage model of chromosome pairing has been proposed in which homologous chromosomes pair first to ensure disjunction of homeologs, followed by pairing between homeologous regions . According to this model, loci near the centromeres would show disomic inheritance while more distal loci show tetrasomic inheritance, or secondary tetrasomy. Homeologous chromosomal regions, which form multivalents with their ancestral counterpart during meiosis, are believed to retard re-diploidization while segments more proximal to the centromere are allowed to diverge at a faster rate . Our linkage data in combination with mapping of homeologous regions in the salmon genome provide substantial support for the presence of these mechanisms in Atlantic salmon. The majority of chromosomes are characterized by strongly localized recombination towards telomere regions in males. However, for seven metacentric chromosomes (ssa02 to ssa08) elevated recombination was found only at one of the telomeres. For the majority of these chromosome arms (5q, 3q, 4p, 6p, and 7q), low recombination rates in males coincides with extensive homeologies between chromosome pairs (2p-5q, 3q-6p, 4p-8q and 7q-17qb) demonstrated by the presence of many MSV-5s. Further support for homeologous chromosome pairing in these regions is given by two-point linkage analyses, which show considerable pseudo-linkage between markers on 2p-5q, 3q-6p, 4p-8q and 7q-17qb (results not shown). Competitive crossing-over in the quadrivalents during meiosis may explain why the expected, increased male recombination is not observed in some of these regions as recombination between homeologs prevents recombination between sister chromatids. In contrast both 2p and 8q seem to have elevated recombination at the telomere ends showing homeology with other chromosome regions. These chromosome arms contain heterochromatin rich regions which generate a strong signal with DAPI staining . Heterochromatin rich regions may reduce crossing over  which may serve as an explanation for this difference. Notably, both ssa02 and ssa08, together with ssa17 which builds extensive homeology with 7q, demonstrate the highest female:male recombination rates in our dataset. It is therefore tempting to suggest that the homeolog chromosome pairing causes an overall reduction in male recombination for these three chromosomes.
Over the last decade researchers have begun to include genetic marker information in their strategies to improve salmonid aquaculture production efficiency . Although chromosomal segments have been identified that are associated with economically important traits (e.g. [28–31]) the density of available marker maps has been insufficient for performing whole genome wide association (GWA) mapping in Atlantic salmon. The development of the 6 K SNP-chip, together with the dense linkage map presented in this paper, provide significant steps forward towards fine-mapping quantitative trait loci (QTL) affecting health and productivity, as well as revealing the biological mechanisms underlying these traits.
To date, no whole genome sequence exists for any member of the family Salmonidae. Thus building syntenic relationships with the sequenced and functionally well-characterized model teleost species zebrafish (Danio rerio), fugu (Fugu rubripes), Tetraodon (Tetraodon nigroviridis), medaka (Oryzias latipes), and three-spined stickleback (Gasterosteus aculeatus) may extrapolate valuable information. Although the data presented broadly reveals conservation of synteny groups between Atlantic salmon and stickleback, significant rearrangements of synteny blocks are expected along comparative chromosomes. As the densities and resolution of markers in the Atlantic salmon linkage maps increase, and the sequencing and assembly of the salmon genome advance, the extent of such rearrangements will be better resolved.
Work is in progress to generate a complete reference genome for Atlantic salmon . The high-resolution linkage map presented in this work can be integrated with other data and become a valuable resource to guide and assist assembly of the very complex salmon genome. Even after the salmon genome is completely sequenced, the map will continue to be a useful tool to link observable phenotypes and animal genotypes to underlying genes and molecular mechanisms influencing economically important traits.
The dense linkage map presented was used to outline the distribution of homeologous regions within the Atlantic salmon genome. This linkage map will be a valuable resource for addressing important aquaculture, ecological and evolutionary questions and to assist in the assembly of the forthcoming reference genome sequence for Atlantic salmon.
A custom design Illumina iSelect SNP-array, containing approximately 6 K working SNP-assays was developed in-house at CIGENE. Approximately half of markers were identified from EST alignments [18, 19], with the remainder detected following 454 sequencing of reduced representation libraries from eight individual salmon belonging to a commercial breeding population in Norway.
2929 from sequencing of genome complexity reduction (GCR) libraries using 454 technology,
124 from low-scale targeted re-sequencing of BAC-end sequences  and
42 from other gene related sequences.
Classification of markers, genotyping and SNP filtering
Samples were genotyped following standard protocols for iSelect SNP-array. Bead-arrays were scanned on an iScan reader using a modified Infinium II scan settings protocol which records bead-level intensity data in .txt format. A large fraction of markers in the salmon genome showed polyploidy caused by the WGD in the early evolution of the Salmonidae family. Such markers may be classified as multisite variants or MSVs as suggested by Fredman et al. . In instances where markers segregate in one of the paralogs with the other being fixed, the samples cluster into three groups depending on the (mixed) allelic ratio of the marker in the sample. These are denoted MSV-3 and can be distinguished from regular SNPs in that the clusters are much more tightly positioned. Illumina's GenomeStudio Genotyping Analysis Module (v.1.6.3) may be tuned to cluster some of the MSV-3s; however they will be regarded as regular SNPs. MSVs polymorphic in both paralogs were revealed by five separate clusters and therefore were classified as MSV-5s. Unfortunately the current version of GenomeStudio is not designed to call polyploid genotypes and consistently failed to call or mis-called MSV-5s. In order to improve genotyping efficiency of the data we developed a pipeline for validation, quality filtering and allele scoring in Atlantic salmon. The pipeline efficiently differentiates between reliable and unreliable SNP assays and improves data confidence. A key element in the pipeline is our development of the R-package beadarrayMSV  made freely available on the web at http://cran.r-project.org/.
Atlantic salmon genomic DNA was extracted from fin-clips provided by the Norwegian breeding company Aqua Gen. Close to 3500 fish (offspring and parents) distributed among a mixture of half-sib and full-sib families were genotyped using iSelect SNP-array following standard protocols (Illumina, San Diego, CA). After genotyping families were filtered for potential pedigree errors which resulted in a final set 3297 of salmon being used for the linkage map construction.
Modified versions of the CRIMAP 2.4 software , which can handle larger numbers of markers segregating in complex pedigrees, were utilized for the linkage analysis. Initially the AUTOGROUP option of a CRIMAP version, provided by Xuelu Liu (Monsanto, Saint Louis, MO, USA), was used to place SNPs into linkage groups based on twopoint LOD scores. The SNPs were included stepwise starting with the most informative SNPs together with SNPs with a known chromosomal position from the previous studies of Moen et al. , Danzmann et al.  and Lorenz et al. . After the initial grouping of SNPs to 29 linkage groups, markers were ordered within group using the BUILD and FLIPSN options of CRIMAP. Due to the extremely low recombination rate in males across the vast majority of the genome the initial order of markers were determined based on female meioses only. An in-house modified version of CRIMAP was developed to deal with the larger numbers of markers and pedigree in the analyses. Subsequently marker orders were determined in both sexes using a combination of FLIPSN, CHROMPIC and FIXED of the same program. After determining the most likely SNP-order within linkage groups double recombinants were identified by CHROMPIC option of CRIMAP and a script were written to correct erroneous genotypes. MSV-5 markers could not be directly mapped as they display the mean signal from two separate loci. As a consequence MSV-5 marker alleles were determined within families by beadarrayMSV as described by Gidskehaug et al.  and pooled with other SNP genotypes in a combined analysis. Sex-specific multipoint linkage maps were constructed using the FIXED option of CRIMAP. An R-script was written for graphical visualization of linkage groups representing 29 chromosomes in Atlantic salmon following the nomenclature of Phillips et al., .
SNP sequences were compared with each other using megablast in order to identify paralogous genes and identify homeologous chromosomal regions within the Atlantic salmon genome. Megablast was also used when searching for homeologous regions in Atlantic salmon that match up with conserved syntenic groups in the sequenced stickleback genome. Megablast searches were performed on a local server running the Galaxy tool (http://main.g2.bx.psu.edu/.
Aqua Gen AS (Trondheim, Norway) is gratefully acknowledged for providing the high-quality sample material including extensive pedigree information used in this work.
The Norwegian Research Council (NFR) (grant numbers 151924/I50, 177036/S10, 183607/O10).
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