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the Creative Commons Attribution 4.0 License.
Genome-wide association study for polledness, horn shape, and wool traits in Original Valachian sheep
Mária Mészárosová
Gábor Mészáros
Nina Moravčíková
Ivan Pavlík
Milan Margetín
Radovan Kasarda
The Original Valachian sheep is an endangered Slovak national breed that is well adapted to high-altitude pastures. The sheep can be horned with various shapes and can have multi-coloured or completely white or black wool. Breeders are interested in learning about the genetic basis of these traits. We conducted a genome-wide association study based on the genomic information of 96 sheep genotyped by the GeneSeek GGP Ovine 50K SNP (single-nucleotide polymorphism) chip and on the following traits: polledness (presence or absence of horns), horn shape, and wool colour (completely white and completely black). The univariate linear mixed model was used to discover genetic variants significantly associated with tested traits. The Bonferroni correction and the false-discovery rate were used as significance thresholds. The RXFP2 gene (chromosome 10, 29.5 Mb) was identified as a strong candidate for polledness. In addition, when compared to animals with sideways-turned horns vs. polled, the region around the ADAMTS3 gene (chromosome 6, 88.47 Mb) was significant. A total of nine significant genomic regions were found when comparing the sideways-turned spiral horns with the backwards-curled horns, the two most frequent horn types in Original Valachian sheep. The RXFP2 may also contribute to the genetic control of horn shape. Genes identified in other regions were involved to osteogenic differentiation and osteoblast proliferation (PCP4, chromosome 1, 260.7 Mb), bone mineral density and mineral content (NKX1-2, chromosome 22, 43.75 Mb). The significant genetic variants close to the region of MC1R (chromosome 14, at 14.2 Mb) were associated with the wool colour of sheep that were fully white or fully black animals. The results of this study will contribute to a better understanding of the phenotypic variability of the Original Valachian sheep, especially regarding traits that are very important for breeders of this endangered breed.
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Domestication of sheep led to a wide diversity of traits. Among such traits, which are also relevant for agriculture, we have the coat colour, wool, horns, tail, ears, and udder. The availability of high-density genotype data in the last decade paved the way towards investigating the genetic determination of these traits in sheep (Kalds et al., 2022).
The Original Valachian sheep currently bred in Slovakia have their origins in the historical Valachian culture, which spread across central Europe during the Middle Ages. Valachian sheep arrived in the territory of present-day Slovakia with the Valachian colonisation in the 13th and 14th centuries. Valachian sheep were traditionally bred for generations at altitudes of 600 to 1200 m, mainly in the mountain regions of northern Slovakia. Over centuries, these sheep adapted to local conditions and gradually evolved into the breed known today as the Original Valachian sheep. Breeds that are phenotypically similar to Original Valachian sheep are also kept in other European countries, including the Czech Republic (Vlachian sheep), Poland (Polish Mountain sheep), the Balkan countries (Zackel or Vlaska), Romania (Tsurcana), Bulgaria (Karakachan), or Ukraine (Ukrainian Mountain sheep) (Drăgănescu and Grosu, 2010). Today, the Original Valachian sheep is recognised as a Slovak national breed that is well adapted to the high-altitude regions and pastures in the northern part of Slovakia. It is a triple-purpose breed that produces milk, meat, and wool. As the main interest was always in the breed's adaptability, there was no selection based on phenotypic uniformity in the past. Thus, the Original Valachian sheep is characterised by various coat colour variations and horn types. Because the production efficiency of Original Valachian sheep is lower compared to other commercial breeds and because the pasture systems in high mountains are not used as frequently as in the past, this breed became endangered. The recent population size was about 3600 animals, with 300 females in 10 nucleus farms. From the phenotypic traits, the main interest of breeders is in horn traits (presence or absence), the horn shape, and wool quality and colour. From the evolutionary perspective, the horns in sheep act as weapons, shields, shock absorbers, or display organs to intimidate opponents when competing for mate pairs and as visual dominance rank symbols (Geist, 1966). While the presence of horns is considered to be an advantage in nature, the hornless, so-called “polled” animals are favoured in livestock breeding. The reason for favouring hornless animals is to reduce safety risks for farmers and to increase the welfare of other animals in the flock (Simon et al., 2022). In connection to polledness and horn shape, the RXFP2 gene was highlighted as the main driver behind horn development (Kalds et al., 2022). The polled phenotype in sheep is often linked to a single locus, a 1.78 kb insertion, in the RXFP2 gene region (Duijvesteijn et al., 2018). This mutation was also found to be responsible for about 76 % of the additive genetic variation in horn size (Johnston et al., 2011). While RXFP2 is associated with horn status, sex also influences horn growth in some breeds (Duijvesteijn et al., 2018). Duijvesteijn et al. (2018) suggested that there might be another causal genetic variant influencing polledness in sheep, although no others have been identified so far. Wang et al. (2019) identified 624 other genes via sequencing and transcriptome analysis that could be related to horn development in deer, goats, and sheep. Some of them, namely SOX10, SNAI1, and TFAP2A, were expressed in fetal horn buds but not in the adjacent skin of the studied animals. L. Chen et al. (2019), using transcriptomic data from the horn sprouts of sheep and goats, found a relationship between the expression of genes such as KRT1, KRT2, KRT3, and other keratin-related genes and horn development. Interestingly, the polled genotype is already widespread in various sheep breeds, with many breeds being completely hornless. Horns occur mainly in autochthonous breeds (Simon et al., 2022), such as Original Valachian sheep kept in Slovakia.
The characteristics of the sheep wool are among the defining features of sheep breeds. One of the most important characteristics is the wool colour. In sheep, the genes related to coat colour are ASIP, MC1R, and TYRP1 (Parsons et al., 1999; Våge et al., 1999; Beraldi et al., 2006). The MC1R gene was specifically studied concerning the black coat colour in Chinese sheep breeds (Yang et al., 2013). Both synonymous and non-synonymous mutations in the MC1R gene were found to significantly affect fully white or black colours in different sheep breeds. A single haplotype in the MC1R gene was uniquely associated with the black colour in the Minxian black-fur breed (Yang et al., 2013). The MC1R, ASIP (Smit et al., 2002; Fontanesi et al., 2011), and MSH (Klungland et al., 1995) genes regulate the amount and proportion of pigment resulting in the base coat colours of red and black. From other genes, KIT and MITF (Li et al., 2014) were found to be involved in the genetic control of coat colour in sheep. The coat colour variations and their genetic background, specifically for sheep, were also reviewed by Koseniuk et al. (2018) and Kalds et al. (2022). Both reviews concluded that, although many genes influence coat colour in sheep, there is still no conclusive evidence of established polymorphisms for specific coat colour types.
In this paper, we address a gap in knowledge by analysing three traits not yet explored in the Original Valachian sheep population: polledness and wool colour. We hypothesise that the polledness and colour traits are influenced by a few major genes. In the Original Valachian sheep population, there is no selection on a specific horn type; therefore, there is variation in this trait, with the sideways and the backwards-curled shapes being the most common. Both sexes of the Original Valachian sheep grow horns.
2.1 Genome-wide data and analysed traits
Genome-wide data of 96 autochthonous Original Valachian sheep (78 females and 18 males – representative samples from multiple herds) were analysed in this study. The animals were genotyped using the GeneSeek GGP Ovine 50K SNP (single-nucleotide polymorphism) chip. The quality controlling and the data preparation for genome-wide association studies (GWAS) analyses were done using PLINK 1.9 (Chang et al., 2015). Within the quality controlling, animals and SNPs with more than 10 % missing genotypes, SNPs with less than 5 % minor allele frequency (maf), and all SNPs not on the autosomes were removed. After the quality controlling, 38 466 SNP variants and all 96 animals remained. Average genomic relatedness between genotyped animals was 0.06 (median: 0.02, standard deviation: 0.08) and was derived from the IBD matrix calculated by PLINK – genome option (Chang et al., 2015).
The horn phenotypes were defined in two different ways: the polledness (presence or absence of horns) and horn shape. At the time of sampling, the animals were 2 to 6 years old; thus, any horn phenotype could be clearly distinguished. A description of the horn phenotypes analysed in this study, the local original Slovak terms, and the number of animals with the particular horn phenotype are shown in Table 1. The horn phenotypes were available for 90 sheep.
The Original Valachian sheep is characterised by a wide variety of colours and colour combinations. Therefore, we divided animals into three colour categories: completely white coloured (n=18), completely black coloured (n=13), and sheep with a variety of coat colours (n=59). Six sheep were omitted from the analysis due to no recorded phenotype for the wool colour.
2.2 Genome-wide association analysis
Six separate GWAS runs were performed: three for polledness (polled vs. non-polled animals, sideways-horned vs. polled animals, backwards-curled horns vs. polled animals), one for horn shape (backwards-curled vs. sideways-horned animals), one for wool quality, and one for coat colour (white coloured vs. black coloured animals). The sex and the herd were tested as fixed effects using one-way ANOVA. The effect of sex was significant (p=0.0133) for the horn traits. Therefore, it was included in the GWAS models for horn phenotypes. The GWAS was performed using GEMMA (Zhou et al., 2012) based on the univariate linear mixed model in Eq. (1):
where y is an n vector of phenotypes for the sheep; W is the matrix of covariates (fixed effects), in our case consisting of a column of 1 s and the effect of sex; α is a c vector of the corresponding coefficients, including the intercept; x is an n vector of marker genotypes; β is the effect size of the marker and is an estimate of the marker–SNP additive effect; ϵ is an n vector of errors; τ-1 is the variance of the residual errors; λ is the ratio between the two variance components; K is a known n×n relatedness matrix; and In is an n×n identity matrix. MVNn denotes the n-dimensional multivariate normal distribution. The correction for population structure, an important step to achieve correct GWAS results (Price et al., 2010), was based on the centred relatedness matrix K calculated within GEMMA. Two statistical approaches were subsequently used for correction for multiple testings, namely the Bonferroni correction (Bonferroni, 1936) and the local false-discovery rate (Efron, 2010). The Bonferroni correction was calculated following Eq. (2):
where pBonferroni is the new p-value threshold after the Bonferroni correction, 0.05 is the initial p-value threshold for significance, and nSNP is the number of SNPs in the GWAS analysis.
For the practical computation of the local false-discovery rate (FDR), we used the locfdr R package (version 1.1-8), with a threshold in terms of the z score set to 0.2 according to the recommendations of Efron (2010) and Waldmann et al. (2013). The z score is a statistical metric to measure the distance of any given value from the mean. FDR was calculated separately for each GWAS run.
The significant regions identified by GWAS were explored for gene content using the web-based tool the Genome Data Viewer of the National Center for Biotechnology Information (NCBI, https://www.ncbi.nlm.nih.gov/genome/gdv/, last access: 7 January 2024), based on the actual genome assembly ARS-UI_Ramb_v2.0, and for quantitative trait loci (QTL) content using the sheep QTLdb database (https://animalgenome.org/QTLdb/, last access: 7 January 2024). The biological function of detected genes was assessed based on previous studies, considering only genes with potential influence over the phenotypic traits of interest.
3.1 Genomic regions influencing horns
3.1.1 Polledness
The GWAS for polled vs. horned animals resulted in one strong signal above the Bonferroni threshold (-log10(p)=5.90) and another with the local FDR (-log10(p)=4.54) (Fig. 1a, Table S1 in the Supplement). In a relatively wide region on chromosome 10 (between 23.18 and 30.90 Mb), several significant SNPs (-log10(p)=7.85) were located. Of the protein-coding genes in this region, the most interesting was RXFP2 (chromosome 10, 29.5 Mb) in sheep previously associated with polledness (Wiedemar and Drögemüller, 2015) and spiral and horizontally extended horn shapes (Pan et al., 2018). Moreover, as shown by Wiedemar et al. (2014), this gene may have a similar function between different livestock species as its overexpression, together with FOXL2 in horn buds, has also been shown in cattle. This suggests that the RXFP2 gene is a promising candidate for sheep polledness. However, the identification of causal genetic variants, which are usually breed-specific, requires further research focused on sequencing the gene region in different sheep breeds.
The second region, very close to the local FDR threshold, was identified on chromosome 6 (-log10(p)=4.46) at 93.37 Mb. The MRPL1 gene located close to this signal was also detected by a previous transcriptome analysis study comparing Poll Dorset and short-tailed Hans Sheep (Liu et al., 2015). This study was not specific to the analysis of polled phenotypes but focused instead on the differences in gene expression from 60, 90, and 120 d fetal skeletal muscle. Nevertheless, the fact that the expression of the MRPL1 gene was found only in the non-polled breed makes it an interesting candidate. Although the number of animals in our analysis of the horn traits i was low, the MRPL1 gene could be investigated further This corresponds with the suggestion of Simon et al. (2020) that there could be other causal genes for the polled phenotype.
3.1.2 Sideways-horned vs. polled animals
The GWAS of animals with sideways horns (n=47) and polled animals (n=24) resulted in two signals above the Bonferroni threshold (-log10(p)=5.90) and two above the local FDR (-log10(p)=4.71) (Fig. 1, Table S1). The most significant was located on chromosome 10 near RXFP2. The second region, denoted by only a single SNP above the Bonferroni threshold, was on chromosome 6 at 88.76 Mb. One of the interesting protein-coding genes in this region was the ADAMTS3 gene (chromosome 6, 88.47 Mb). Many genes of the ADAMTS family, to which the ADAMTS3 gene belongs, were also found to be highly expressed in the antlers and headgear of ruminants (Wang et al., 2018). This gene is involved in collagen maturation and biosynthesis and had an influence on osteosarcoma in human cell lines (Aydemir et al., 2018).
The local FDR threshold further identified three genomic regions on chromosome 2 (143.33 Mb), chromosome 4 (83.45 Mb), and chromosome 23 (14.93 Mb). The three genes closest to the signal on chromosome 2 were from the same gene family (SCN7A, SCN9A, and SCN1A) but without apparent connection to polledness or any similar phenotype. The closest to the signal on chromosome 4 was a transcription-factor-2-like protein-coding gene (LOC121819513) which was not characterised yet. The two other genes within 0.5 Mb up- and downstream of the genome were POU6F2 and VPS41 but with no connection to traits related to horns or bones. Similarly, within the vicinity of the signal on chromosome 23 Mb (14.93 Mb) (maf = 0.11), there were no protein-coding genes.
3.1.3 Animals with backwards-curled horns vs. polled animals
The animals with backwards-curled horns (n=12) were compared to polled animals (n=24) (Fig. 1c) and resulted in only one signal above the Bonferroni (-log10(p)=5.90) and local FDR (-log10(p)=4.75) thresholds. While the Bonferroni threshold was the same for all GWAS analyses, the local FDR threshold was individual to each analysis – in this case, even stricter than the Bonferroni correction. Also, here, the most significant signal was on chromosome 10 (at 31.29 Mb), albeit somewhat shifted from the location of the RXFP2 gene (at 29.5 Mb). There are several other SNPs (at 28.5 and 29.6 Mb) in the immediate vicinity that are above the FDR threshold; thus, the signal picked up SNPs that are in high linkage disequilibrium (LD) with the RXFP2 gene. In the region around the most significant SNP on chromosome 10, there were four genes (UBL3, SLC7A1, MTUS2, SLC46A3), but none of them seemed to be associated with horn development.
Based on the FDR threshold, there were four other significant regions: on chromosome 2 in position 247.47 Mb (maf = 0.46), on chromosome 4 in position 103.41 Mb (maf = 0.13), and on chromosome 26 in positions 31.67 Mb (maf = 0.35) and 40.22 Mb (maf = 0.29). Five genes (UBR4, IFFO2, ALDH4A1, TAS1R2, PAX7) were located near the signal on chromosome 2. From these genes, the most important seems to be the PAX7 gene. Although it was primarily associated with muscle development and myogenesis, there is evidence that it is indirectly involved in cranial facial development in humans via the binding protein PAXBP1 (Blake and Ziman, 2014; Aldersey et al., 2020). There were also five genes (DGKI, CREB3L2, AKR1D1, TRIM24, SVOPL) located in the genomic regions around the signal on chromosome 4. CREB3L2 may be important for horn development in cattle, with different expressions when comparing horn tissues and prenatal tissues (Shil et al., 2017). On chromosome 26, there were four genes (KCNU1, ZNF703, ERLIN2, PLPBP) around the most significant SNP at 31.67 Mb and a single gene (RARB) around the SNP at 40.22 Mb. None of these genes seem to have any plausible connection to horn development in sheep or other species.
3.1.4 Backwards-curled vs. sideways-horned animals
The GWAS comprising the genomic data of animals with backwards-curled (n=12) and sideways-turned horns (n=47) showed eight regions over the Bonferroni threshold (-log10(p) = 5.90) and a large number of regions above the local FDR threshold (-log10(p) = 4.11) (Fig. 1d). Due to a large number of signals with lower significance values, we have focused mainly on the strongest signals identified by the Bonferroni threshold. The positions of the detected genomic regions, including the QTLs and gene occurrence summary, are presented in Table S1.
There were four significant SNPs on chromosome 10 in position 29.45 Mb, with SNP IDs RXFP2_insert_L1, RXFP2_insert_L2, RXFP2_ insert_ R1, and RXFP2_insert_R2 (maf = 0.05 for all). This again indicated that the RXFP2 gene could play a significant role in horn shape (Pan et al., 2018) as it was found to be a significant signal in sideways-turned horns (Fig. 1b) and in backwards-curled horns (Fig. 1c).
The signal consisting of one SNP on chromosome 1 (at 260.7 Mb, maf = 0.06) was near the PCP4 gene, with a proven role in osteogenic differentiation in rat stem cells (Xiao et al., 2008); this refers to the capacity of stem cells to self-renew and differentiate to multiple cell types, including osteocytes. This gene plays an important role also in osteoblast proliferation/differentiation (Meng et al., 2020). This suggests that this gene could also be responsible for the qualitative differences in horn types in Original Valachian sheep. According to Johnston et al. (2011), however, any signals with a minor allele frequency of less than 0.1 in a low number of individuals with phenotypes should be interpreted with care as there is a chance of a false-positive association in terms of the over-representation of rare genotypes.
There was a significant signal above the Bonferroni threshold on chromosome 22, centred on 43.75 Mb (maf = 0.17). In humans, the gene NKX1-2 plays a role in differentiating bone marrow mesenchymal precursor cells into adipocytes (fat cells) or osteoblasts and in regulating between them (N. Chen et al., 2019). The gene ABRAXAS2 was associated with bone mineral density and bone mineral content in humans (Chen et al., 2020). It is not clear how the regulatory activities of these genes would influence the horn type in sheep, but their presence in our results could initiate further research into this matter.
The significant SNPs on chromosome 26 (40.5 to 42.4 Mb) indicated the influence of the THRB gene. The thyroid hormone is essential for development and ossification during fetal development and plays an important role in the linear growth and maintenance of bone mass in humans (Bassett and Williams, 2003). This gene was also found to be connected to calcium and phosphate concentration, including the regulation of bone mass (Cardoso et al., 2014).
The genomic regions on chromosome 3 (42.35 Mb (maf = 0.07) and 82.69 Mb (maf = 0.07)), 10 (0.01 Mb (maf = 0.12)), 17 (14.11 Mb (maf = 0.07)), and 26 (42.44 Mb (maf = 0.04)) did not contain genes known to be relevant to horns or bones in any species. Similarly to the previous GWAS herein, the number of animals with backward-curled horns should be increased in the future to confirm the role of identified SNPs and potential candidate genes in genetic controlling of horn shape in sheep.
3.2 Genomic regions influencing wool colour
The results for the genome-wide association for wool colour, considering only fully white and fully black animals, identified two significant regions above the Bonferroni threshold (-log10(p) = 5.90) and another one region above the local FDR threshold (-log10(p) = 5.75), as shown in Fig. 2. The most prominent signal is on chromosome 14 at 14.23 Mb (maf = 0.13). This region contains the MC1R gene (chromosome 14, at 14.2 Mb), regulating the amount and proportion of pigment resulting in red and black base colours in multiple species. In sheep, the MC1R gene was also identified for its association with wool pigmentation in Brazilian Creole sheep (Hepp et al., 2012). Rochus et al. (2019) studied this gene specifically for its effect on black colouring. A wide range of studies exist for a wide range of species in livestock, but also for Arabian camels (Almathen et al., 2018), carp (Mandal et al., 2020), or Japanese quail (Li et al., 2019).
Another significant SNP was found on chromosome 20 (10.77 Mb, maf = 0.40). However, from the genes in this region (STK38, SRSF3, CDKN1A, RAB44, CPNE5, PPIL1, MTCH1, FGD2), we did not identify any genes directly or indirectly associated with coat colour.
In addition, the local FDR identified another significant SNP on chromosome 24 (15.37 Mb, maf = 0.15). The immediate vicinity of the significant SNP contains only un-characterised genes. The closest protein-coding gene is the ABCC6 gene at 15 Mb, which does not appear to be connected to colour traits in sheep or any other species.
A genome-wide association study for polledness and wool traits was conducted in Original Valachian sheep, an autochthonous breed from Slovakia. Obtained results indicated that the main signal for the polled phenotype was in the vicinity of the RXFP2 gene on chromosome 10, confirming the influence of this gene shown in other studies on different breeds. Other SNPs on chromosome 6, near the MRPL1 gene, could also be considered to be important genetic variants for polledness in Original Valachian sheep. The horn shape also seems to be influenced by the RXFP2 gene as this was identified in the associations containing animals with sideways-turned and backwards-curled horns. Furthermore, the region containing this gene was also significant when comparing the animals with different horn types to each other. Even if the RXFP2 gene was previously identified in other studies, this study showed its significance for the first time in Valachian sheep, which is an important local breed not only in Slovakia but also in neighbouring countries. When comparing fully black and fully white animals, the results confirmed the MC1R gene on chromosome 14 as the candidate gene for wool colour. The results of this study will contribute to a better understanding of the phenotypic variability of the Original Valachian sheep, especially regarding traits that are very important for breeders of this endangered breed.
The data presented in this study are available on request from the corresponding author. The data are not publicly available due to ongoing research.
The supplement related to this article is available online at: https://doi.org/10.5194/aab-67-373-2024-supplement.
Conceptualisation: RK, NM, and GM. Methodology: GM, NM, and MáM. Validation: GM, NM, and MáM. Formal analysis: MáM. Investigation: MáM. Resources: MáM and IP. Data curation: MáM and NM. Writing – original draft preparation: MáM. Writing – review and editing: GM, RK, NM, MáM, and IP. Visualisation: MáM. Supervision: RK. Project administration: RK and NM. Funding acquisition: RK and NM. All the authors have read and agreed to the published version of the paper.
The contact author has declared that none of the authors has any competing interests.
This study did not require special ethical approval. The research protocol was applied in accordance with the general rules of the Slovak University of Agriculture's Ethics Committee for Animal Protection.
Publisher’s note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors.
The authors wish to acknowledge the support of the breeders and their willingness to provide samples for genotyping.
This research has been supported by the Slovak Research and Development Agency (grant nos. APVV-17-0060, APVV-20-0161, and DS-FR-22-0016). It was also supported by the MULT 04/2023WTZ project funded by OeAD-GmbH Austria’s Agency for Education and Internationalisation and the Federal Ministry of Education, Science and Research of Austria (BMBWF).
This paper was edited by Henry Reyer and reviewed by Johanna Aldersey and three anonymous referees.
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