Skip to main content
  • Research article
  • Open access
  • Published:

Recombinational landscape of porcine X chromosome and individual variation in female meiotic recombination associated with haplotypes of Chinese pigs



Variations in recombination fraction (θ) among chromosomal regions, individuals and families have been observed and have an important impact on quantitative trait loci (QTL) mapping studies. Such variations on porcine chromosome X (SSC-X) and on other mammalian chromosome X are rarely explored. The emerging assembly of pig sequence provides exact physical location of many markers, facilitating the study of a fine-scale recombination landscape of the pig genome by comparing a clone-based physical map to a genetic map. Using large offspring of F1 females from two large-scale resource populations (Large White ♂ × Chinese Meishan ♀, and White Duroc ♂ × Chinese Erhualian ♀), we were able to evaluate the heterogeneity in θ for a specific interval among individual F1 females.


Alignments between the cytogenetic map, radiation hybrid (RH) map, genetic maps and clone map of SSC-X with the physical map of human chromosome X (HSA-X) are presented. The most likely order of 60 markers on SSC-X is inferred. The average recombination rate across SSC-X is of ~1.27 cM/Mb. However, almost no recombination occurred in a large region of ~31 Mb extending from the centromere to Xq21, whereas in the surrounding regions and in the Xq telomeric region a recombination rate of 2.8-3.3 cM/Mb was observed, more than twice the chromosome-wide average rate. Significant differences in θ among F1 females within each population were observed for several chromosomal intervals. The largest variation was observed in both populations in the interval UMNP71-SW1943, or more precisely in the subinterval UMNP891-UMNP93. The individual variation in θ over this subinterval was found associated with F1 females' maternal haplotypes (Chinese pig haplotypes) and independent of paternal haplotype (European pig haplotypes). The θ between UMNP891 and UMNP93 for haplotype 1122 and 4311 differed by more than fourteen-fold (10.3% vs. 0.7%).


This study reveals marked regional, individual and haplotype-specific differences in recombination rate on SSC-X. Lack of recombination in such a large region makes it impossible to narrow QTL interval using traditional fine-mapping approaches. The relationship between recombination variation and haplotype polymorphism is shown for the first time in pigs.


Recombination rate can vary dramatically among species, among chromosomes within species, among regions within chromosomes, and among individuals and families within regions in mammals [1]. These variations may have important consequences for the accuracy of marker assisted selection, genetic diagnosis and for the success of positional cloning or positional identification of disease gene and quantitative trait loci (QTL) [2]. Noor et al. [3] demonstrated that variance in recombination rate across a genome can cause systematic biases in the interpretation of mapping results.

The mammalian X chromosome contains a disproportionately high number of genes and QTL influencing development, female/male fertility, reproduction and diseases (OMIM,; OMIA,[4, 5]), notably in pigs For example, Milan et al. [6] detected a few major QTL on the porcine X chromosome (SSC-X) that explained more than 40% of the F2 phenotypic variation for backfat weight and muscle contents in a Large White × Meishan pig resource population. Identification of causal genes underlying these QTL could have great economic significance for the pig industry. It could also provide very valuable insights into the genetic regulation of fat deposition in mammals. However, this purpose can hardly be achieved because, so far, little is known about between-region, individual and family variation in recombination that occurs on SSC-X.

The increasing wealth of genetic and physical mapping data makes it possible to detail precisely patterns of recombination on SSC-X. The larger the family, the more reliable is the estimate of genetic distance. Physical distance between markers can be estimated by radiation-hybrid (RH) mapping, while its exact value will be determined on the complete genome sequence [7].

Sperm typing studies have revealed significant variations between individual human males [8] and between individual bulls [9, 10] in the fine-scale rate of crossing over. Such studies, however, can only be performed on male recombination, so the only access to fine-scale patterns of female recombination could only be obtained through a classical analysis of families [11]. A valuable case for such a study is the X chromosome, because it is only there that female recombination occurs in the absence of male recombination [12]. So far, pedigree studies have identified variation in the global recombination rate (total genetic-map length) among mothers and have shown that the variation is heritable, suggesting that there are some underlying components determined by both genetic and environment factors that affect maternal recombination rates [13, 14]. However, no study to date has documented the variation in fine-scale rate among females, due to the limited number of children per mother [15]. Fortunately, the higher fertility of the pig compared to other mammalian species effectively increases the sample size of meiotic products that can be obtained from individual females, permitting direct comparisons between animals.

Heterogeneity in recombination rate between the same loci on different linkage maps may represent genetic variation in some aspects of the meiotic recombination machinery among individuals of different mapping pedigrees. This variation may be multifactorial, including differences in sex, genetic background, haplotype, age, recombination-promoting sequences, chromosome size, sequence homology, and sites for initiation of chromosome pairing [10]. For instance, the presence of recombination hotspots within mouse major histocompatibiltiy complex (MHC) have been detected in some specific MHC haplotypes [16, 17], therefore the frequency of recombination in this region can vary among individuals or strains carrying different haplotypes.

Previously, Large White ♂ × Chinese Meishan ♀ (LW × MS) and White Duroc ♂ × Chinese Erhualian ♀ (WD × ER) F2 intercross populations were established by INRA in France [18] and Jiangxi Agricultural University (JXAU) in China [19], respectively. Based on the large number of offspring (and thus meioses) per F1 sow, we were able to estimate recombination rate over X chromosome intervals by comparing genetic and physical maps. Then we studied the degree of heterogeneity in broad-scale and fine-scale recombination rate between individual F1 females, and finally compare these relationships to differences in maternal and paternal haplotypes of F1 females transmitted from Chinese and European F0 founders.


Estimation of the most likely marker order and regional variation in recombination rate along SSC-X based on comparison of maps

We used a total number of 60 markers in this study. Among them 33 were developed for this study (see "Material and Methods" and Additional File 1 - Table S1). In addition to 16 previous ones, 19 new markers were mapped on the INRA-University of Minnesota porcine (IMpRH) radiation hybrid panel. Twenty-eight and 27 markers were mapped using the INRA and JXAU families respectively; 21 of these were mapped using both pedigrees. The sequence of 54 markers matched sequences from Sscrofa8 assembly available on the Ensembl website, and 50 marker-containing BAC clones were anchored on the human physical map. Table 1 shows the positions of markers on the porcine cytogenetic map, clone map, genetic map and RH map and on the human physical map. The consensus order was chosen as the order consistent with the majority of the maps. There is a very high conservation of marker order between the human physical map and the pig clone map, except for two small segments (UMNP71-UMNP1218 and ACSL4-MCST96O22). For these two segments, both the current swine genetic map and the RH map support the marker orders determined using the human physical map rather than those using the pig clone map, suggesting possible mistakes in the pig sequence assembly, unless chromosome inversions occurred in the DNA of the Duroc pig selected for sequencing.

Table 1 Locations of all markers on the different porcine maps and comparison with those on the human physical map

An accurate genetic map is crucial for QTL analysis [13]. Notably, the present marker segment SW259-SW1994-SW1426-SW1522 observed on both INRA and JXAU genetic maps is reversed on the USDA-MARC genetic map [20] (Table 1), but is in accordance with both physical and RH maps, supporting the accuracy of our linkage map. Moreover, as mentioned previously by McCoard et al. [21], SW2476 was also placed wrongly on the USDA genetic map, which is revealed by its location on RH and physical maps (Table 1).

The INRA genetic map covered most of the chromosome length from SW980 (in Xp24) to S0218 (in Xq25). The ratio between the genetic and physical map is of 1.02 cM/Mb (111.4 cM for 109.3 Mb, Table 1). Two additional markers SW949 and SW2588 located at both ends in the Xp24/Yp pseudoautosomal region and Xq26 respectively were also mapped on JXAU families. The region from SW949 to SW2588 covers 126 Mb and 160 cM on JXAU genetic map (Table 1), thus corresponding to an overall average recombination rate of 1.27 cM/Mb.

Regional variation in recombination rate along SSC-X is shown on Figure 1. Patterns of recombination appear very similar in the two populations. However, there are marked differences in the recombination rate between SSC-X regions. An extensive region (B) of very low recombination rate is especially striking (Figure 1). Between SW259 and UMNP71, and perhaps extending to UMNP1218, a fragment of more than 30 Mb represents only 0.1-0.45 cM (Table 1), which corresponds to a ratio of 0.015 cM/Mb. Only one recombination event out of 1027 meioses from the INRA population occurred in this region, between SW259 and SW1994. There were 6 recombination events out of 1338 meioses in the JXAU population, occurring in the 3 fragments flanked by markers SW259, SW1994, UMNP71 and UMNP1218.

Figure 1
figure 1

The overall recombinational landscape of porcine X chromosome and intervals with individual heterogeneity of recombination. The top part of this figure represents the genetic position of makers placed on both genetic maps of INRA and JXAU populations compare to the physical position of pig clone map. Markers with a star were used in the initial genotyping experiment. SW259 is located near the centromere. The slope of the curves provides an estimate of the local recombination rate. The patterns for the two populations are similar over the whole chromosome, except for the region from SW980 to SW1903 (gray lines). A (SW2456-UMNP1174), C (SW1426-MCSE347J6) and D (SW1608-S 0218-SW2588) delimit three regions of high recombination rates; B (SW259-SW1994-UMNP71) is a recombination coldspot. Heterogeneity of recombination fraction among F1 females was observed for four intervals, including LH-C (UMNP71-SW1943), LH-1 (SW1903-SW2456), LH-2 (SW1608-S0218) and LH-3 (SW1943-SW1608). LH-1 and LH-2 were observed only in the INRA population, and LH-3 was specific to JXAU population, while LH-C was detected in both populations. The lower part presents a more detailed analysis of the recombination patterns in the LH-C interval among 4 F1 full-sisters from INRA population. Females 910002, 910009, 910010 who inherited the same maternal haplotype showed higher recombination rates compared with 910013, who inherited the other maternal haplotype, or compared with the average of the whole population. Number of meioses analysed for each female is presented between parentheses. LH-C could be further narrowed down to a sub-interval UMNP891-UMNP93, flanked by two vertical dash lines.

Two regions (A and C; Figure 1) flanking the recombination coldspot, as well as the Xq telomeric region (D), show a rate of 2.8-3.3 cM/Mb, which was more than two-fold the value observed over the whole chromosome. The three regions may harbor recombination hotspots. Indeed, the fragment MCSE231M24-MCST96O22 within the region C presents an even higher ratio (3 cM for 510 kb ≈ 5.9 cM/Mb). In order to precisely map the potential recombination hotspot, we developed two additional microsatellite markers (MCSE12P4.1041 and MCSE12P4.0112) using the available partial sequence of one BAC clone (CH242-12P4; Genbank accession: CU618307) located in this region. As the fragment between the two markers is ~69 kb long and as it spans ~1.1 cM on INRA genetic map (11 recombination events out of 1060 meioses), the recombination rate increases to 15.9 cM/Mb in this segment.

Variability of recombination rate between F1 females and populations

Identification of linkage heterogeneity in different regions of >10 cM on SSC-X

We initially detected heterogeneity in recombination fraction (θ) for large regions among F1 sows of the INRA family using Morton's likelihood ratio test [22] (Table 2). Significant differences among the 17 F1 sows were observed only in three noncontiguous intervals defined by SW1903-SW2456 (21.6 cM; P = 0.005), by UMNP71-SW1943 (24.2 cM; P = 0.002) and by SW1608-S0218 (12.8 cM; P = 0.038), denoted respectively LH-1, LH-C and LH-2 on Figure 1.

Table 2 Variability of recombination fraction (θ) in SSC-X regions of >10 cM among INRA F1 sows.

For the JXAU population, individual variability of θ among 59 F1 females was significant for the three intervals SW949-SW980 (16.0 cM; P = 0.037), SW2456-SW259 (14.7 cM; P = 0.042), SW1943-SW1608 (13.4 cM; P = 0.012; denoted LH-3 on Figure 1). However, only LH-C (P = 0.017) and LH-3 (P = 0.026) regions exhibit linkage heterogeneity when considering only the 40 F1 females having at least 20 offspring.

For all the regions of SSC-X, no significant difference was identified between the average rates calculated on INRA and JXAU families, except for the interval SW980-SW1903 (P = 0.005). This interval covers a distance of 23.7 cM in the INRA population in contrast to 30.6 cM in the JXAU population (Table 1), resulting in recombination rates of 1.7 and 2.2 cM/Mb respectively (Figure 1). This result agrees with previous observations showing that large-scale recombination pattern and hotspots tend to be conserved among human populations [23, 24].

Fine mapping of the fragment showing linkage heterogeneity within the region UMNP71-SW1943

The interval UMNP71-SW1943 (LH-C) is of particular interest to us, because its linkage heterogeneity was highly significant in both populations and because many QTL have been mapped around this area We tried to narrow down this region that showed linkage heterogeneity using additional markers. In the INRA population, only one sub-interval UMNP891-UMNP93 (5.9 cM; P = 0.001; Table 3) exhibited statistically significant linkage heterogeneity among F1 females, whereas other areas UMNP71-SW1426 (2.9 cM; P = 0.054), SW1426-UMNP891 (7.7 cM; P = 0.349) and UMNP93-SW1943 (5.9 cM; P = 0.458) did not. Therefore, the variation observed on the sub-interval UMNP891-UMNP93 explains most of the difference observed on the region as a whole.

Table 3 Variability of recombination fraction (θ) for the UMNP891-UMNP93 interval among INRA F1 female individuals, and among groups of females grouped according to their maternal and paternal haplotypes1.

Similarly, significant difference in θ for the interval UMNP891-UMNP93 (5.6 cM; P = 0.006) was also observed among F1 females from JXAU population. Unfortunately, in this population, UMNP891 was not informative for some F1 females and UMNP93 was not genotyped for all samples. Thus, the heterogeneity was tested and confirmed on a larger set of meioses using the two flanking markers MCST96O22 and MCSI0244D12 (P = 0.002). Linkage heterogeneity was not detected in other intervals UMNP71-SW1426 (3.4 cM; P = 0.204), SW1426-MCST96O22 (7.0 cM; P = 0.730) and MCSI0244D12-SW1943 (2.7 cM; P = 0.778). Relatively higher P values in these sub-intervals obtained therein could explain why linkage heterogeneity for the overall interval UMNP71-SW1943 was less significant in the JXAU population than in the INRA population.

Variation in recombination fraction for the interval UMNP891-UMNP93 within an INRA family consisting of 4 F1 full-sisters

The most significant difference in θ for the interval UMNP891-UMNP93 among F1 full-sisters was observed in the subfamily No.1 (P = 0.0026; Table 3). All F1 full-sisters inherited the same paternal X chromosome from LW boars whereas they inherited one or the other maternal X chromosome from MS sows. We noticed that in the subfamily No.1, three F1 full-sisters (910002/9/10) carrying the same maternal haplotype (1122) within the interval UMNP891-UMNP93 tended to have higher θ (5%, 14%, and 13%, respectively; Table 3). Among these three full-sisters, the relatively low recombination rate observed for 910002 in this interval may result from interference because a high crossover rate was observed in the neighboring region (Figure 1). In contrast, the last full-sister 910013 inherited the other maternal haplotype (4311) and had no recombination in this region at all. No other F1 females carried the haplotype 1122. However, 910013's relatives 910018 and 910097 who also carried the maternal haplotype 4311 also exhibited very low θ (Table 3). Based on the knowledge of parental relationship since the importation of Meishan animals in France and of the genotypes obtained on some key Meishan ancestors, we can show that the haplotype 4311 observed in the three females 910013, 910018 and 910097 is highly likely to represent an identical by descent (IBD) (See Additional Files 2 and 3 - Figures S1 and S2),.

Impact of maternal and paternal haplotypes on recombination rate variation

Seventeen F1 females from the INRA population were grouped by their maternal (MS) or paternal (LW) haplotypes in the interval UMNP891-UMNP93, respectively (Table 3). The linkage heterogeneity is strongly significant among sets of F1 females grouped according to the Chinese haplotype inherited from their mother (P = 0.0001), whereas no heterogeneity is observed when F1 females are grouped according to the European haplotype inherited from their father (P = 0.580). The θ for haplotype 1122 and 4311 differed by more than fourteen-fold (10.3% vs. 0.7%). We indentified after genotyping additional SNPs, that the only one recombination (seen in a piglet of 910091) occurring in a 4311 haplotype happened at the end of segment between markers BE371L5-0001Y1 and BE219E21-0003M1. Thus globally, no recombination occurred in approximately 5 Mb in the haplotype 4311 in the 138 meiotic events. The most frequent maternal haplotype found in F1 females was 1222, with an average θ of 5.5%, a value equivalent to the average θ for all haplotypes.

Similar results for linkage heterogeneity were obtained from the JXAU population for the interval MCST96O22-MCSI0244D12 (Table 4). All JXAU F1 females were grouped into two paternal half-sib families according to only two WD boars (0F11 and 0F21) mated with ER sows. No significant difference (P = 0.414) in θ was found between these two groups of families. Within each of the two groups, when F1 females were also grouped according to the haplotype inherited from their Erhulian mother, a significant difference was put in evidence within the 0F21 family (P = 0.002) but not in the 0F11 family (P = 0.195). This latter result might be simply due to a smaller sample size for the 0F11 family. The θ for the same maternal haplotypes (except for haplotype 9512116 whose sample size was small) from different paternal families did not differ significantly (P > 0.05). Almost no common Chinese haplotype in this interval was shared between F1 females of INRA and JXAU populations.

Table 4 Variability of recombination fraction (θ) for the MCST96O22-MCSI0244D12 interval among JXAU F1 females grouped by their paternal and maternal haplotypes1.


Comparative map

To date, the pig RH map - human comparative map is not available for X/Y chromosomes in the pig QTL database, therefore the SNP sequence matches to the human genome cannot be easily aligned to the QTL map. Here, we provide the links between the pig RH map, the pig clone map and the human physical map. These will facilitate the search for candidate genes for traits of interest by fine comparison of the porcine regions with corresponding segments of human genome, and will enable to understand the evolution of these chromosomes. Comparison of the pig and human X chromosome maps revealed remarkable conservation of sequence order along the entire X chromosomes, including the location of the centromere. This is the same case for horse X chromosome [25], whereas some breakpoints and chromosomal rearrangements were found when comparing mouse and human or cow and human X chromosomes. (; [26]).

Regional variation in recombination rate

In the present study, we identified considerable variation in regional recombination along SSC-X. A large recombination coldspot adjacent to the centromere of X chromosome has been previously reported for human [27, 28] and suggested for pig by alignment of the USDA linkage and cytogenetic maps (; [20, 21]) This study not only confirms that this coldspot exists in pigs, but also estimates its extent (SW259-UMNP1218; ~31 Mb) and recombination fraction (<0.4 cM), which is likely to be longer and "colder" than the counterparts in other mammals. In humans, the coldspot is 17 Mb and 1 cM in size [28]. The coldspot can not be completely explained by a "centromere effect", as the centromere is only at one end of the coldspot. Shashi et al. [29] reported a three-generation human family with a large pericentric inversion of the X chromosome. Recombination was observed only at the telomeric regions Xp22 and Xq27-28, outside the inverted region, and fertility was not obviously affected in the carriers of this inversion. Whether there is a chromosomal inversion on SSC-X in European or Chinese pigs, leading to low recombination will need further investigation.

In rat and mouse, the X chromosome has lower recombination rate than the autosomal average and HSA-X has a rate very near the human genome-wide average [1], whereas we found that the average rate across SSC-X was a bit higher than the global level of the pig genome (~1.27 cM/Mb vs. ~0.92 cM/Mb for female-specific [19]). This might be attributable to several regions of higher recombination that would compensate for the large region of low recombination on SSC-X. Such possible regions mainly distribute at neighborhood sites of the coldspot and near telomeres. We fine mapped such a hotspot in the clone CH242-12P4 within the SSC-Xq22 region, with a rate as high as 15.9 cM/Mb. The smaller the interval examined, the greater the regional variation in recombination rate. On the HSA-X, 608 hotspots mapped within 5 kb [30]. Hotspots are not conserved among species [15, 31].

Inter-individual, inter-family and inter-population variation in recombination rate

We noticed two differences between the INRA and JXAU results. First, the genetic length of the interval SW980-SW1903 differed significantly between the two populations (23.7 vs. 30.6 cM). Second, some intervals (such as SW1903-SW2456) that showed significant linkage heterogeneity among individuals were population-specific.

On the other hand, there are strikingly consistent findings that the individual variability of recombination rate in the interval UMNP891-UMNP93 is significant in both populations. To our knowledge, the present study is the first to provide evidence of differences in fine-scale recombination rate among females, supporting the fact that genome-wide recombination rate varies substantially among women [13, 14].

Haplotype effect on recombination

Some early studies have documented that meiotic recombination in the MHC region is likely to depend on haplotypes [16, 17]. Now, we found the distribution of crossovers in the interval UMNP891-UMNP93 also obeys this principle. Moreover, the recombination variation in this interval was only associated with the maternal haplotypes (Chinese pig haplotypes) rather than the paternal haplotypes (European pig haplotypes) of F1 females. Due to the structure of the two pedigrees used in this study, it is not possible to formally differentiate a haplotypic effect from a parental effect (maternal versus paternal). However, a haplotypic effect among the different Asian haplotypes seems the most plausible explanation for the findings. Such an effect could be explained by a simple global inversion of ~5 Mb in the haplotype 4311 or by differences in the sequence of the different haplotypes. Cytogenetic analysis will be further required, but we don't think that all differences in the recombination rate could be explained by a simple chromosomal fragment inversion as differences in the recombination rate are identified in both populations, whereas the Chinese haplotypes in segregating in both populations are completely different. We were not able to provide this cytogenetic evidence for the animals of this study as we did not froze cells to prepare metaphases. The differences in the recombination rate among haplotypes might be due to DNA sequence divergence in Chinese pigs, different chromatin structure, imprinting and/or their interactions. At present we cannot rule out any possibilities. The genetic basis of recombination variation has not been fully understood. For humans, specific DNA motifs and repeats are strongly associated with recombination rate, while there is no association between recombination rate and DNaseI hypersensitivity [32, 33]. The evidence for a link between imprinting and recombination rate is currently weak [2, 34]. The future availability of the porcine reference sequence will likely help us to understand the basis of this linkage heterogeneity.

Consequence of variation in recombination rate for QTL mapping

Low recombination in almost one-fourth of the length of SSC-X is a serious problem for interpretation of QTL mapping results and fine mapping of these QTL, as many genes in the "cold" region could be associated with a quantitative trait. In fact, a noticeable clustering of QTL, especially of the "major" QTL, is observed near the centromere (; [6, 35]). This might be attributable to the extraordinary high gene density per centiMorgan in the region with different genes with polygenic effect acting as a single strong QTL effect. This situation would be consistent with the conclusion made on humans by Boyle et al. [36]. In that case, if the causative mutations can not be identified, the haplotype block could be globally eliminated or selected in Marker Assisted Selection programs. For QTL mapped in a region of low recombination, haplotype analysis and association studies, combined with the careful comparison of QTL effects identified in different populations, might provide more valuable information than linkage analysis; yet identifying the causative mutations is unlikely to be achieved through these approaches [37]. Additional strategies, such as expression QTL (e-QTL) mapping, may enhance gene-mapping efforts.

The presence of inter-individual, inter-family and inter-population variation in recombination rate can also bias conclusions from genetic mapping studies. For QTL in the region where heterogeneity in recombination rate occurs, the estimation of position and effect of QTL are both altered by the differences between the average linkage map and the true recombination pattern of each F1 females, subfamilies or populations. Nevertheless, the consequences of individual variation need not always be negative [2]. It could lead to the identification of either chromosomal variation or modifier genes linked or unlinked to the interval under study, and perhaps yield new insight into the mechanism of mutation [8]. A general role of DNA repeats in mediating disease-causing recombination errors has been suggested [38]. If reduced recombination is a common result of sequence mismatch in the mutated region, this could even become a new positional mapping approach--that is, screening carriers for perturbed recombination [2].


We provide the first published comparative map by integrating marker sequence positions of both pig and human chromosome X. The comparative map confirms the conservation of synteny between SSC-X and HSA-X, and will be valuable for selection of candidate genes for porcine QTL that map to SSC-X. Large differences in broad- and fine-scale recombination rate along SSC-X and between F1 females were revealed, which may cause unpredictable difficulties to precisely estimate the position and effect of individual causative gene. Recombination variation over the interval UMNP891-UMNP93 was associated with maternal haplotype of Asian origin of F1 females. A future comparison of sequences of these haplotypes will be very interesting to identify the cause of these variations

Globally, our results highlight the necessity of careful fine mapping of QTL identified in segregation in pig breeds on SSC-X relatively to coldspot, hotspot and LH regions identified in this study.



All animal experiments were conducted in accordance with European Communities Council Directive of 24 November 1986 (86/609/EEC) and the Guidelines for the Care and Use of Animal established by the Ministry of Science and Technology of P.R. China (1988). The structures of the INRA (LW × MS) and JXAU (WD × ER) populations have been described by Bidanel et al. [18] and Guo et al. [19], respectively. Briefly, for INRA population, 6 F1 males and 23 F1 females, the progeny of 6 LW boars and 6 MS sows, produced 530 F2 males and 573 F2 females. Six F1 females were culled early and were removed from the experiment. The 17 remaining sows were used to produce up to 13 litters, resulting in 1028 F2 piglets. Two of the 6 males were culled before the end of the experiment. Their females were reassigned to the four remaining males in order to produce additional full-sib families. For JXAU population, a total of 9 F1 males and 59 F1 females, the progeny of 2 WD boars and 17 ER sows, were randomly chosen to produce 967 F2 males and 945 F2 females from the first parity to the fourth parity in six separate batches. To obtain large full-sib families, each F1 sow was usually mated to the same sire during the different parities. In this study, a total of 1028 F2 animals of INRA and 1293 F2 animals of JXAU and their parents and grandparents were genotyped. The number of genotyped offspring of each F1 female from JXAU population varied from 5 to 49, with the mean of 22; whereas 17 F1 females from INRA population individually had at least 27 genotyped offspring and most of them had more than 50, which makes the estimation of variation in recombination rate among individuals more robust.

Marker genotyping

Fifty-eight markers were used in this study (Table 1). Among them, 15 microsatellite markers with the caption of "SW" and S0218 were chosen from the USDA-MARC porcine reference map, and 9 UMNP markers were selected from papers published by the University of Minnesota [3941]. Single nucleotide polymorphisms (SNP) in the SERPINA7 gene and a 14-bp deletion mutation in SLC25A5 have been reported by Nonneman et al. [42] and Čepica et al. [43], respectively. The SNP in other three genes ACSL4, IRS4 and HTR2C are new markers. Moreover, we developed 18 additional SNP (named "BE...") and 11 microsatellites (named "MCSE...") based on the pig bacterial artificial chromosome (BAC) clone sequences and map Primers were designed using Primer3 software Forward primers for most microsatellite markers were modified by adding an M13(-21) tail (5'-TGTAAAACGACGGCCAGT-3') to their 5' ends [44]. For fragments that do not contain a microsatellite, the possible polymorphism was firstly determined by high-resolution melting analysis on a LightCycler 480 (Roche), before confirmation by sequencing. The PCR profiles included an initial denaturation at 94°C for 5 min followed by 35-45 cycles of 94°C for 30 sec, annealing temperatures (50-60°C) for 30 sec and 72°C for 30 sec, with a final extension at 72°C. Except two new gene-based (IRS4 and HTR2C) SNP that were examined by SNaPshot (Applied Biosystems; Foster City, CA, USA), all currently developed SNP were genotyped by the PCR-RFLP method (Additional File 1 - Table S1). For microsatellites, PCR products were analyzed on an ABI PRISM 3130 or 3730 Sequencer and the genotypes were determined by performing allelic discrimination using GeneMapper 3.7 software (ABI, Foster City, USA). All genotypes were checked and stored using the GEMMA database

RH mapping

Markers were mapped on the 7000-rad IMpRH panel [45] or 12000-rad IMNpRH2 panel (for a few highly linked markers) [46] according to the INRA protocols. Data were analyzed for two-point and multipoint linkage with the IMpRH mapping tool and submitted to the IMpRH web server (; [47]). Carthagene software (; [48]) was also used to estimate multipoint marker distance and order using all public markers on the X chromosome in the IMpRH sever and those developed in this study, in order to compare the former map automatically built by the server.

Linkage analyses

The female-specific linkage maps for INRA and JXAU were calculated using CRIMAP version 2.4 [49] as described by Rohrer et al. [20] where TWOPOINT analyses were used to indicate the chromosome linkage group and the BUILD, ALL, FLIPS options were used to determine the most likely multipoint position of each marker.

Placement of markers on pig clone map and estimates ofrecombination along SSC-X

The full sequences of markers were analysed using BLAST for identification of clones used in pig genome assemblies. Hit locations of these clones on Human chromosome X (HSA-X) have been presented on the Sanger web The ratio between genetic and physical distances between each pair of adjacent markers was calculated by simply dividing the distances between the markers on the genetic map (in Kosambi centimorgans, cM) by the distance between the markers on the BAC clone map (in megabases, Mb).

Statistical analyses

Recombination counts and total counts over a specific marker interval for each F1 female that was doubly heterozygous for the adjacent markers, and the haplotypes of all F1 females were exported from the GEMMA database The Morton's likelihood ratio test [22] was applied to test the individual variability of recombination fraction as described by Simianer et al. [9].



National Institute of Agricultural Research in France


Jiangxi Agricultural University (JXAU)


large white pigs


Meishan pigs


white Duroc pigs


porcine chromosome X


human chromosome X


major histocompatibility complex


quantitative trait locus


radiation hybrid


bacterial artificial chromosome


centi Ray


centi Morgan




recombination fraction


the INRA-University of Minnesota porcine radiation hybrid panel


the INRA Minnesota Nevada porcine Radiation Hybrid panel 2.


LH-2, LH3 and LH-C respectively represent the interval SW1903-SW245, SW1608-S0218, SW1943-SW1608 and UMNP71-SW1943, which showed linkage heterogeneity among F1 females from single or both pig resource populations.


  1. Jensen-Seaman MI, Furey TS, Payseur BA, Lu Y, Roskin KM, Chen CF, Thomas MA, Haussler D, Jacob HJ: Comparative recombination rates in the rat, mouse, and human genomes. Genome Res. 2004, 14: 528-538. 10.1101/gr.1970304.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  2. Robinson WP: The extent, mechanism, and consequences of genetic variation, for recombination rate. Am J Hum Genet. 1996, 59: 1175-1183.

    CAS  PubMed Central  PubMed  Google Scholar 

  3. Noor MA, Cunningham AL, Larkin JC: Consequences of recombination rate variation on quantitative trait locus mapping studies. Simulations based on the Drosophila melanogaster genome. Genetics. 2001, 159: 581-588.

    CAS  PubMed Central  PubMed  Google Scholar 

  4. Graves JA, Delbridge ML: The X--a sexy chromosome. Bioessays. 2001, 23: 1091-1094. 10.1002/bies.10026.

    Article  CAS  PubMed  Google Scholar 

  5. Vaiman D: Fertility, sex determination, and the X chromosome. Cytogenet Genome Res. 2002, 99: 224-228. 10.1159/000071597.

    Article  CAS  PubMed  Google Scholar 

  6. Milan D, Bidanel JP, Iannuccelli N, Riquet J, Amigues Y, Gruand J, Le Roy P, Renard C, Chevalet C: Detection of quantitative trait loci for carcass composition traits in pigs. Genet Sel Evol. 2002, 34: 705-728. 10.1186/1297-9686-34-6-705.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  7. Payseur BA, Nachman MW: Microsatellite variation and recombination rate in the human genome. Genetics. 2000, 156: 1285-1298.

    CAS  PubMed Central  PubMed  Google Scholar 

  8. Yu J, Lazzeroni L, Qin J, Huang MM, Navidi W, Erlich H, Arnheim N: Individual variation in recombination among human males. Am J Hum Genet. 1996, 59: 1186-1192.

    CAS  PubMed Central  PubMed  Google Scholar 

  9. Simianer H, Szyda J, Ramon G, Lien S: Evidence for individual and between-family variability of the recombination rate in cattle. Mamm Genome. 1997, 8: 830-835. 10.1007/s003359900587.

    Article  CAS  PubMed  Google Scholar 

  10. Park C, Frank MT, Lewin HA: Fine-mapping of a region of variation in recombination rate on BTA23 to the D23S22-D23S23 interval using sperm typing and meiotic breakpoint analysis. Genomics. 1999, 59: 143-149. 10.1006/geno.1999.5869.

    Article  CAS  PubMed  Google Scholar 

  11. Coop G, Wen X, Ober C, Pritchard JK, Przeworski M: High-resolution mapping of crossovers reveals extensive variation in fine-scale recombination patterns among humans. Science. 2008, 319: 1395-1398. 10.1126/science.1151851.

    Article  CAS  PubMed  Google Scholar 

  12. Schaffner SF: The X chromosome in population genetics. Nat Rev Genet. 2004, 5: 43-51. 10.1038/nrg1247.

    Article  CAS  PubMed  Google Scholar 

  13. Kong A, Gudbjartsson DF, Sainz J, Jonsdottir GM, Gudjonsson SA, Richardsson B, Sigurdardottir S, Barnard J, Hallbeck B, Masson G, Shlien A, Palsson ST, Frigge ML, Thorgeirsson TE, Gulcher JR, Stefansson K: A high-resolution recombination map of the human genome. Nat Genet. 2002, 31: 241-247.

    CAS  PubMed  Google Scholar 

  14. Kong A, Barnard J, Gudbjartsson DF, Thorleifsson G, Jonsdottir G, Sigurdardottir S, Richardsson B, Jonsdottir J, Thorgeirsson T, Frigge ML, Lamb NE, Sherman S, Gulcher JR, Stefansson K: Recombination rate and reproductive success in humans. Nat Genet. 2004, 36: 1203-1206. 10.1038/ng1445.

    Article  CAS  PubMed  Google Scholar 

  15. Coop G, Przeworski M: An evolutionary view of human recombination. Nat Rev Genet. 2007, 8: 23-34. 10.1038/nrg1947.

    Article  CAS  PubMed  Google Scholar 

  16. Uematsu Y, Kiefer H, Schulze R, Fischer-Lindahl K, Steinmetz M: Molecular characterization of a meiotic recombinational hotspot enhancing homologous equal crossing-over. EMBO J. 1986, 5: 3408-

    Google Scholar 

  17. Heine D, Khambata S, Wydner KS, Passmore HC: Analysis of recombinational hot spots associated with the p haplotype of the mouse MHC. Genomics. 1994, 23: 168-177. 10.1006/geno.1994.1474.

    Article  CAS  PubMed  Google Scholar 

  18. Bidanel JP, Milan D, Iannuccelli N, Amigues Y, Boscher MY, Bourgeois F, Caritez JC, Gruand J, Le Roy P, Lagant H, Quintanilla R, Renard C, Gellin J, Ollivier L, Chevalet C: Detection of quantitative trait loci for growth and fatness in pigs. Genet Sel Evol. 2001, 33: 289-309. 10.1186/1297-9686-33-3-289.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  19. Guo Y, Mao H, Ren J, Yan X, Duan Y, Yang G, Ren D, Zhang Z, Yang B, Ouyang J, Brenig B, Haley C, Huang L: A linkage map of the porcine genome from a large-scale White Duroc x Erhualian resource population and evaluation of factors affecting recombination rates. Anim Genet. 2009, 40: 47-52. 10.1111/j.1365-2052.2008.01802.x.

    Article  PubMed  Google Scholar 

  20. Rohrer GA, Alexander LJ, Hu Z, Smith TP, Keele JW, Beattie CW: A comprehensive map of the porcine genome. Genome Res. 1996, 6: 371-391. 10.1101/gr.6.5.371.

    Article  CAS  PubMed  Google Scholar 

  21. McCoard SA, Fahrenkrug SC, Alexander LJ, Freking BA, Rohrer GA, Wise TH, Ford JJ: An integrated comparative map of the porcine X chromosome. Anim Genet. 2002, 33: 178-185. 10.1046/j.1365-2052.2002.00878.x.

    Article  CAS  PubMed  Google Scholar 

  22. Morton NE: The detection and estimation of linkage between the genes for elliptocytosis and the Rh blood type. Am J Hum Genet. 1956, 8: 80-96.

    CAS  PubMed Central  PubMed  Google Scholar 

  23. Serre D, Nadon R, Hudson TJ: Large-scale recombination rate patterns are conserved among human populations. Genome Res. 2005, 15: 1547-1552. 10.1101/gr.4211905.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  24. Graffelman J, Balding DJ, Gonzalez-Neira A, Bertranpetit J: Variation in estimated recombination rates across human populations. Hum Genet. 2007, 122: 301-310. 10.1007/s00439-007-0391-6.

    Article  PubMed  Google Scholar 

  25. Raudsepp T, Lee EJ, Kata SR, Brinkmeyer C, Mickelson JR, Skow LC, Womack JE, Chowdhary BP: Exceptional conservation of horse-human gene order on X chromosome revealed by high-resolution radiation hybrid mapping. Proc Natl Acad Sci USA. 2004, 101: 2386-2391. 10.1073/pnas.0308513100.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  26. Amaral ME, Kata SR, Womack JE: A radiation hybrid map of bovine X chromosome (BTAX). Mamm Genome. 2002, 13: 268-271. 10.1007/s00335-001-2100-4.

    Article  PubMed  Google Scholar 

  27. Nagaraja R, MacMillan S, Kere J, Jones C, Griffin S, Schmatz M, Terrell J, Shomaker M, Jermak C, Hott C, Masisi M, Mumm S, Srivastava A, Pilia G, Featherstone T, Mazzarella R, Kesterson S, McCauley B, Railey B, Burough F, Nowotny V, D'Urso M, States D, Brownstein B, Schlessinger D: X chromosome map at 75-kb STS resolution, revealing extremes of recombination and GC content. Genome Res. 1997, 7: 210-222. 10.1101/gr.7.3.210.

    Article  CAS  PubMed  Google Scholar 

  28. Mahtani MM, Willard HF: Physical and genetic mapping of the human X chromosome centromere: repression of recombination. Genome Res. 1998, 8: 100-110.

    CAS  PubMed  Google Scholar 

  29. Shashi V, Golden WL, Allinson PS, Blanton SH, von Kap-Herr C, Kelly TE: Molecular analysis of recombination in a family with Duchenne muscular dystrophy and a large pericentric X chromosome inversion. Am J Hum Genet. 1996, 58: 1231-1238.

    CAS  PubMed Central  PubMed  Google Scholar 

  30. The International HapMap Consortium: A second generation human haplotype map of over 3.1 million SNPs. Nature. 2007, 449: 851-861. 10.1038/nature06258.

    Article  PubMed Central  Google Scholar 

  31. Dumont BL, Payseur BA: Evolution of the genomic rate of recombination in mammals. Evolution. 2008, 62: 276-294. 10.1111/j.1558-5646.2007.00278.x.

    Article  CAS  PubMed  Google Scholar 

  32. Myers S, Spencer CC, Auton A, Bottolo L, Freeman C, Donnelly P, McVean G: The distribution and causes of meiotic recombination in the human genome. Biochem Soc Trans. 2006, 34: 526-530. 10.1042/BST0340526.

    Article  CAS  PubMed  Google Scholar 

  33. Myers S, Freeman C, Auton A, Donnelly P, McVean G: A common sequence motif associated with recombination hot spots and genome instability in humans. Nat Genet. 2008, 40: 1124-1129. 10.1038/ng.213.

    Article  CAS  PubMed  Google Scholar 

  34. Lien S, Cockett NE, Klungland H, Arnheim N, Georges M, Gomez-Raya L: High-resolution gametic map of the sheep callipyge region: linkage heterogeneity among rams detected by sperm typing. Anim Genet. 1999, 30: 42-46. 10.1046/j.1365-2052.1999.00430.x.

    Article  CAS  PubMed  Google Scholar 

  35. Pérez-Enciso M, Mercadé A, Bidanel JP, Geldermann H, Cepica S, Bartenschlager H, Varona L, Milan D, Folch JM: Large-scale, multibreed, multitrait analyses of quantitative trait loci experiments: the case of porcine X chromosome. J Anim Sci. 2005, 83: 2289-2296.

    PubMed  Google Scholar 

  36. Boyle AS, Noor MA: Variation in recombination rate may bias human genetic disease mapping studies. Genetica. 2004, 122: 245-252. 10.1007/s10709-004-1703-6.

    Article  PubMed  Google Scholar 

  37. Nachman MW: Variation in recombination rate across the genome: evidence and implications. Curr Opin Genet Dev. 2002, 12: 657-663. 10.1016/S0959-437X(02)00358-1.

    Article  CAS  PubMed  Google Scholar 

  38. Purandare SM, Patel PI: Recombination hot spots and human diseas. Genome Res. 1997, 7: 773-786.

    CAS  PubMed  Google Scholar 

  39. Korwin-Kossakowska A, Reed KM, Pelak C, Krause E, Morrison L, Alexander LJ: Radiation hybrid mapping of 118 new porcine microsatellites. Anim Genet. 2002, 33: 224-227. 10.1046/j.1365-2052.2002.t01-14-00876.x.

    Article  CAS  PubMed  Google Scholar 

  40. Fahrenkrug S, Wagner M, Morrison L, Alexander LJ: Map assignments of 373 previously unreported porcine microsatellites. Anim Genet. 2005, 36: 76-86. 10.1111/j.1365-2052.2004.01223.x.

    Article  CAS  PubMed  Google Scholar 

  41. Alexander LJ, Juneja B, Fahrenkrug S: Isolation and radiation hybrid mapping of 213 porcine microsatellites. Anim Genet. 2006, 37: 596-597. 10.1111/j.1365-2052.2006.01522.x.

    Article  CAS  PubMed  Google Scholar 

  42. Nonneman D, Rohrer GA, Wise TH, Lunstra DD, Ford JJ: A variant of porcine thyroxine-binding globulin has reduced affinity for thyroxine and is associated with testis size. Biol Reprod. 2005, 72: 214-20. 10.1095/biolreprod.104.031922.

    Article  CAS  PubMed  Google Scholar 

  43. Čepica S, Rohrer GA, Knoll A, Masopust M, Málek O: Linkage mapping of four genes (OTC, SERPINA7, SLC25A5 and FMR1) on porcine chromosome X. Anim Genet. 2001, 32: 106-109. 10.1046/j.1365-2052.2001.0700b.x.

    Article  PubMed  Google Scholar 

  44. Schuelke M: An economic method for the fluorescent labeling of PCR fragments. Nature Biotechnology. 2000, 18: 233-234. 10.1038/72708.

    Article  CAS  PubMed  Google Scholar 

  45. Yerle M, Pinton P, Robic A, Alfonso A, Palvadeau Y, Delcros C, Hawken R, Alexander L, Beattie C, Schook L, Milan D, Gellin J: Construction of a whole-genome radiation hybrid panel for high resolution gene mapping in pigs. Cytogenet Cell Genet. 1998, 82: 182-188. 10.1159/000015095.

    Article  CAS  PubMed  Google Scholar 

  46. Yerle M, Pinton P, Delcros C, Arnal N, Milan D, Robic A: Generation and characterization of a 12,000-rad radiation hybrid panel for fine mapping in pig. Cytogenet Genome Res. 2002, 97: 219-228. 10.1159/000066616.

    Article  CAS  PubMed  Google Scholar 

  47. Milan D, Hawken R, Cabau C, Leroux S, Genet C, Lahbib Y, Tosser G, Robic A, Hatey F, Alexander L, Beattie C, Schook L, Yerle M, Gellin J: IMpRH server: an RH mapping server available on the Web. Bioinformatics. 2000, 16: 558-559. 10.1093/bioinformatics/16.6.558.

    Article  CAS  PubMed  Google Scholar 

  48. de Givry S, Bouchez M, Chabrier P, Milan D, Schiex T: CARHTA GENE: multipopulation integrated genetic and radiation hybrid mapping. Bioinformatics. 2005, 21: 1703-1704. 10.1093/bioinformatics/bti222.

    Article  CAS  PubMed  Google Scholar 

  49. Green P, Falls K, Crooks S: Documentation for CRIMAP. (version 2.4). 1990, St Louis, Missouri, Washington University School of Medicine

    Google Scholar 

Download references


This work was funded by INRA and the Natural Science Foundation of China (30425045). JM is supported by a PhD grant from INRA Animal Genetics Division. Genotyping for INRA population were performed on the Genomic Platform of Genotoul We are grateful to Dr. Bertrand Servin for improving the English text.

Author information

Authors and Affiliations


Corresponding authors

Correspondence to Lusheng Huang or Denis Milan.

Additional information

Authors' contributions

JM performed the genotyping for INRA population and RH panel, analyzed the data and drafted the manuscript. NI assisted in performing the experiments and validated the data. YD, WH, BG performed the genotyping for JXAU population. JR participates in the design. LH and DM co-supervised the work. DM conceived the study and finalized the manuscript. All authors have read and approved the final manuscript.

Electronic supplementary material

Additional file 1: Table S1. Information about the 33 markers developed in this study. (DOC 148 KB)

Additional file 2: Figure S1. Haplotypes carried by the 6 F0 Meishan females. (DOC 164 KB)


Additional file 3: Figure S2. Pedigree structure of some F1 animals' parents in different generations of Meishan pigs bred at INRA to determine if the haplotype 4311 associated with low recombination found in 3 F1 sows is IBD or IBS. (DOC 74 KB)

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Ma, J., Iannuccelli, N., Duan, Y. et al. Recombinational landscape of porcine X chromosome and individual variation in female meiotic recombination associated with haplotypes of Chinese pigs. BMC Genomics 11, 159 (2010).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: