Genetic characterization in Korean horse: History
Please note this is an old version of this entry, which may differ significantly from the current revision.
Contributor:

In modern times, horse breeds, mostly in horse racing, are the Thoroughbred varieties obtained by breeding three Godolphin Arabians with British mares in England. Especially in Jeju Island, Korea, Jeju horses have been introduced from Mongolia since the 13th century. They have contributed a lot to the agricultural community, but their population has been rapidly decreasing due to rapid agricultural industrialization. Therefore, we sympathize with Jeju horse-specific genetic variation and compare and analyze evolutionary correlations by utilizing Whole Genome Sequencing analysis to evaluate the genetic diversity of Jeju horses and preserve genetic information. We explored Jeju horse-specific genetic differences through a comparative analysis of large-capacity genomic data between the public database and a Thoroughbred variety. In order to adapt to the barren external environment, it is predicted that Jeju horses have experienced strong positive selection in the direction of accumulating many genetic variations, enough to cause functional differences in the eqCD1a6 gene to have an efficient immune function. In addition, we further validate the Jeju horse-specific single nucleotide polymorphisms in the eqCD1a6 gene by employing the digital PCR method, a diagnostic technique for genetic variations.

  • Jeju horse
  • Thoroughbred
  • WGRS
  • SNP
  • eqCD1a6
  • digital PCR
  • Equus ferus caballus

1. Introduction

The emergence of the family Equidae has a longer evolutionary history than the emergence of Homo sapiens. The evolution of horses occurred over ~50 million years. At first, people considered horses to be hunting targets, but those who found out their abilities began to domesticate them [1][2][3]. The horse was domesticated and used for farming, transportation, food, and war purposes. After the Middle Ages, domestic horses were widely distributed and were commonly used for human hobbies such as riding and racing. As a result, the Thoroughbred horse has become widespread as the most representative horse today through pedigree management. The Thoroughbred horse has continued to manage superior objects in the same way as single nucleotide polymorphism (SNP) and restriction fragment length polymorphism (RFLP) [4]. Recently, several types of research using next-generation sequencing (NGS) technology, such as whole-genome sequencing, target sequencing, and RNA sequencing, to characterize genetic features of different horses have been conducted [5][6][7][8][9]. However, genetic research on Jeju horses using NGS has been relatively less studied.
Jeju horse is a general term for the ponies that grow wild on Jeju Island. It was designated as National Monument number 347 on 8 February 1986, in Korea. It is estimated to be a hybrid of the pony that used to live on Jeju Island and the Mongolian horse that flowed into the island from the late 1200s to the 1300s [7][10]. The average body height of an adult Jeju horse over five years old is 117 cm for females and 115.3 cm for males, which is smaller than a mixed horse or modern horse (crossbreed or improved breed), and differs genetically from other horses [11]. The fur of the Jeju horse is brown, reddish-brown, gray, black, light yellow, and stained, with the brown individuals being the most common, followed by reddish-brown. In addition, the Jeju horse has a low front, high backside, medium body, and a large chest ratio, which is a typical body shape suitable for a sumpter (Figure 1).
Figure 1. The appearance of pure Jeju horses. This representative photo of a Jeju horse was taken at a grazing ranch on Jeju Island, Korea. As described in the text, the Jeju horse has a small height, a large head, and a thick, short morphology.
Jeju horses have been close to extinction in the past. However, the protection afforded by the Endangered Species Act means that the population of Jeju horses has rebounded today, with more than 5000 Jeju horses breeding [12]. Most studies on Jeju horses are morphological compared to Thoroughbred horses. Furthermore, the most basic genetic studies for the academic establishment of Jeju horses are far from insufficient [13].
In this entry, we performed whole-genome resequencing (WGRS) of five domesticated Jeju horses and one Thoroughbred. Using the horse reference genome data, we determined a significant number of SNPs and insertion/deletion (INDEL) throughout the genome. All the structure variants were annotated, particularly resulting in nonsynonymous mutations that can be further used as genetic markers that would predict phenotypic variation in patterns of interest in Jeju horses. Interestingly, the results of the WGRS comparison indicated that the eqCD1a6 gene contains signatures of positive natural selection in Jeju horses and is thought to be the result of environmental adaptation. In addition, we confirmed the Gene Ontology (GO) term of Jeju horses through GO analysis and found that there are many correlations in genes related to the heart and nerves. These results are indirect evidence that Jeju horses show physical differences from Thoroughbred horses.

2. Comparative Analysis for Genetic Characterization in Korean Native Jeju Horse

2.1. Sequencing, Read Mapping, and Genomic Variant Detection

To detect Jeju horse-specific genomic variation, we compared the genomes of Jeju horses, which have been geographically isolated for a long time, with the horse reference genome. In order to obtain more accurate results, we generated additional genome data of a Thoroughbred horse breed in the same species as the horse reference genome. We performed WGRS on five Jeju horses and one Thoroughbred horse using the Illumina HiSeq 2500 platform and obtained a total of 696,089,910 raw reads. The raw reads were trimmed and deduplicated via Sickle and Picard, resulting in an average of 609,556,376 clean reads. Next, the clean reads were mapped to the horse reference genome using BWA, and finally, the average read depth of the six horses ranged from 31.48x to 46.01x (an average of ~35.79x, Table 1).
Table 1. The genomic mapping results by whole-genome resequencing.
Classification Jeju_1 Jeju_2 Jeju_3 Jeju_4 Jeju_5 Thoroughbred Average
Total reads a 690,508,306 609,871,934 661,791,072 617,836,736 606,111,944 990,419,468 696,089,910
Clean reads 621,253,885 532,985,097 581,568,986 555,881,352 545,197,568 820,451,365 609,556,376
Clean reads, % b 89.97% 87.39% 87.88% 89.97% 89.95% 82.84% 88%
Mapped reads 612,618,456 523,657,858 572,263,882 547,987,837 536,038,249 780,311,183 595,479,578
Mapped reads, % c 98.61% 98.25% 98.40% 98.58% 98.32% 95.11% 97.88%
Average Depth 37.24x 31.48x 34.50x 33.14x 32.36x 46.01x 35.79x
a Total reads: The total number of reads generated. b The number of reads after trimming and deduplication with Sickle and Picard; (%) = No. of Clean reads/No. of Total reads. c The number of reads mapped to the reference using BWA mapping tool; (%) = No. of Mapped reads/No. of Clean reads.
To identify Jeju horse-specific structural variation (SV), we compared the genome data obtained from five Jeju horses with the horse reference genome using the GATK tool and the variant annotations in VCF files were created with SnpEff. As a result, we found an average of 6,686,678 SNPs, 436,460 insertions, and 456,249 deletions in the Jeju horse (Table 2).
Table 2. The number of variants counting by types for all 5 Jeju horses.
Type a Jeju_1 Jeju_2 Jeju_3 Jeju_4 Jeju_5 Thoroughbred
Homo INS 246,788 235,661 242,743 238,128 239,981 157,841
Hetero INS 199,722 187,896 193,519 201,288 195,073 142,173
Total INS 446,510 423,557 436,262 439,416 435,054 300,014
Homo DEL 263,896 254,611 259,821 255,380 258,247 166,728
Hetero DEL 201,114 190,505 196,679 204,404 196,586 122,802
Total DEL 465,010 445,116 456,500 459,784 454,833 289,530
Homo SNP 2,404,789 2,331,653 2,415,831 2,329,651 2,369,765 1,740,637
Hetero SNP 4,304,466 4,211,637 4,312,941 4,397,561 4,355,094 2,202,227
Total SNP 6,709,255 6,543,290 6,728,772 6,727,212 6,724,859 3,942,864
a Homo = homozygous; Hetero = heterozygous; INS = insertion; DEL = deletion.
Next, we analyzed the SV positions shared by five Jeju horses to find Jeju horse-specific SVs. As a result, 2,758,242 SNPs, 233,819 insertions, and 240,738 deletions were identified as SVs shared by five Jeju horses (Figure 2). The SV results shared by five Jeju horses were compared with the WGRS data of one Thoroughbred horse to further reduce the number of Jeju horse-specific SVs by obtaining 1,244,064 SNPs, 113,498 insertions, and 114,751 deletions (Figure 3).
Figure 2. Venn diagram of genomic variants identified from genome comparison with the horse reference genome. In comparative analysis with the horse reference genome (Equus caballus, equCab3: January 2018), we screened the number of SNPs and INDELs to find unique variants shared with the five Jeju horses. The number of SNPs (a), small insertions (b), and deletions (c), which are common in the five Jeju horses compared with the horse reference genome, are annotated at each Venn diagram. The number of variants highlighted in the bold letter is common to Jeju horse. (a) For SNPs, common variants are 2,758,242 loci, which account for 22.54% of the total. (b) For small insertions, 233,819 loci, 33.63% of the total. (c) For small deletions, 240,738 loci, 31.5% of the total.
Figure 3. Second comparison of genomic variants between Jeju horse and Thoroughbred. Using the variants compared to the horse reference genes for the first time, secondly, we selected unique variants for the five Jeju horses by comparing and analyzing the genome data of one Thoroughbred obtained in this study. Through this process with another Thoroughbred genome, we were able to accurately distinguish the variant calling of Jeju horse. (a) Among the 2,758,242 SNPs identified from the first comparison, a total of 1,244,064 (45.1%) were unique in Jeju horse. (b) A total of 113,498 insertions (45.1%) and (c) 114,751 deletions (48.54%) were detected in Jeju horse.
Furthermore, Jeju horse-specific SNPs were compared with SNP data from open-access databases (dbSNP, Ensembl, and Broad Institute) [14]. The previously registered SNPs consisted of 21,443,129 dbSNPs, 5,008,750 Ensembl, and 1,163,466 Broad Institute. Finally, a total of 408,601 Jeju horse-specific SNPs that do not overlap with open access databases were identified (Figure 4). The 408,601 Jeju horse-specific SNPs were divided into 94,192 homozygous and 314,409 heterozygous. For the 113,498 Jeju horse-specific insertions, they were divided into 85,394 homozygous and 28,104 heterozygous. For the 114,751 Jeju horse-specific deletions, they were divided into 75,115 homozygous and 39,636 heterozygous. Among the identified SVs, we analyzed the loci of those corresponding to homozygous SVs (94,192 homozygous SNPs, 85,394 homozygous insertions, 75,115 homozygous deletions) in all five Jeju horses. This showed that most SVs resided in intergenic regions (an average of 64%), followed by an intron, upstream region, and exon (Table 3).
Figure 4. Third comparison of SNP variants using open-access SNP data for horses. By comparing open access SNP data published at the Broad Institute (add URL), Ensembl (add URL), and NCBI (add URL), 408,601 out of 1,244,064 SNPs accounting for 1.66% of all the variants in the SNP database (SNPdb) were finally identified. The number of final Jeju horse-specific SNPs is highlighted in the bold letter.
Table 3. Number of effects by region.
Region SNP INS DEL
Upstream 7715 10,497 7336
Exon 1138 1484 903
Intergenic 63,497 84,897 46,518
intragenic 119 190 112
Intron 21,312 37,272 19,557
Splice site 194 595 435
5’ UTR 174 307 197
3’ UTR 43 106 57
Total 94,192 135,348 75,115

2.2. Functional Annotation of Nonsynonymous

Among the numerous Jeju horse-specific SVs, we focused on nonsynonymous SNPs (724) and INDELs (564 insertions and 879 deletions) present in genic regions that may have a more functional impact. We performed GO term analysis using the ClueGO plugin of Cytoscape software [15] on 788 genes containing 2167 SVs (nonsynonymous SNPs and INDELs). As a result, 106 out of 788 genes were correlated with 13 GO categories .
 
The 13 GO categories were mainly involved in cardiac development/blood circulation and neurodevelopment/hormone secretion. The reason why these two groups are characterized is probably due to the external differences between the Jeju horse and Thoroughbred horse. Thoroughbred horses have been gradually improved to be faster by humans. As a result, they have a body suitable for high speed, but their endurance was weakened. In contrast, Jeju horses are well known for their endurance. Due to these differences, we hypothesize that Jeju horses and Thoroughbred horses show significant differences in cardiac development/blood circulation and neurodevelopment/hormone secretion (Figure 5). Interestingly, we found that 275 SNPs and 21 INDELs common in five Jeju horses exist in the eqCD1a6 gene (Table 5).
Figure 5. Gene ontology (GO) enrichment analysis of genes with non-synonymous SNPs in Jeju horses. A total of 106 of 788 are significantly associated with cardiac development and blood circulation. Each term is represented by a circle node, where its size is proportional to the number of input genes falling into that term. Its color represents its GO cluster identity (i.e., nodes of the same color belong to the same cluster). The small nodes interacting with circle nodes denote the genes that show associations with the GO cluster.
Table 5. Classification of eqCD1a6 SNPs.
The function of the CD1 gene family is unknown, but recently it has been known to be involved in immunity to Rhodococcus equi. R. equi is associated with Mycobacterium tuberculosis and is structurally similar to the nocardioform actinomycete bacterium [16]. M. tuberculosis is known as a cause of pulmonary tuberculosis in humans. In contrast, in young horses, R. equi is known to be a life-threatening pathogen that causes pyogranulomatous pneumonia [17]. Previous studies have reported that most mammals have more than one isoform of the CD1 gene [18]. In a previous study, 13 complete eqCD1 genes were identified in the horse genome, and they were largely divided into eqCD1a, eqCD1b, eqCD1c, eqCD1d, and eqCD1e. Among them, eqCD1a is the largest isoform group (eqCD1a1~eqCD1a7) [19]. The eqCD1a6 gene is 2281 bp in length and consists of six exons that encode the signal peptide, α-1, α-2, α-3, the transmembrane region, and the cytoplasmic tail. Of the 275 SNPs identified in Jeju horses, 51 SNPs were located in the exon regions of eqCD1a6 and the most SNPs were found at Exon 2 and Exon 3 (18 and 25 SNPs, respectively) (Figure 6). We compared the amino acid sequence of the eqCD1a6 of Jeju horses with its counterpart in the horse reference genome. As a result, the eqCD1a6 gene has accumulated 37 nonsynonymous changes, but no stop codons have been found. Most nonsynonymous changes occurred in α-1, α-2, and α-3 (14, 16, and 5 nonsynonymous substitutions, respectively) .
Figure 6. Amino acid (AA) sequence comparison of eqCD1A6 gene. Using BioEdit, eqCD1A6 sequences were visually compared to detect sequence signatures that distinguished between the two species. (a) The location of Jeju horse-specific SNPs in the exon region of the eqCD1a6 gene. Most of the SNPs are located in exon 2 and exon 3. (b) AA sequences of the eqCD1A6 gene searched by NCBI blast were aligned. Dots indicate AA sequences identical in nine eqCD1A6 isoforms. Orange lines denote the 37 conservative AA substitution spots in Jeju-horses. The eqCD1A6 protein domains, including the signal peptide, α-1, α-2, α-3, transmembrane, and cytoplasmic tail, are boxed with annotations.

2.3. Positive Selection of eqCD1a6 Gene in Jeju Horses

In order to confirm the correct Jeju horse-specific SNP of the eqCD1a6 gene, we used additional DNA samples of 35 horses (Jeju horse 15, Halla horse 3, and Thoroughbred (raised in Jeju Island) 17), which were used to PCR the exon region of eqCD1a6 and confirmed by Sanger sequencing. As a result, out of 51 SNPs, we identified 36 SNPs unique to Jeju horses, which most Jeju horse samples have in common in the Jeju horse genome. We conducted a dN/dS ratio analysis based on Jeju horse-specific SNP data [20] (Figure 7). The dN/dS ratios estimate the evolution rate by considering synonymous and nonsynonymous variations. The eqCD1a6 gene in Jeju horses appears to have been a positive selection to escape from the current stage when compared to Thoroughbred horses.
Figure 7. Sliding-window analysis of Jeju horse and Thoroughbred eqCD1a6 genes. Sliding-window analysis of dN/dS ratios was performed along the length of the eqCD1a6 gene, comparing Jeju horse and Thoroughbred gene sequences. dN/dS is plotted against base-pair coordinates in the coding sequence. dN/dS ratios of 1.0 indicate neutral evolution, while ratios of <1.0 are indicative of purifying selection.

2.4. Genotyping Assay for Molecular Markers

Korea is conducting pedigree management to protect species and manage individual Jeju horses, and species identification is performed through the appearance of Jeju horses and various genetic tests. However, sometimes inaccurate results are obtained because Jeju horse genome data are not compared with other Jeju horses. We proceeded with the development of a molecular marker. Based on the Jeju horse-specific CD1a6 obtained through the research results, we expected that the development of a species-specific molecular marker would enable a more accurate and faster test, and digital PCR was applied to this. Digital PCR has become accessible and easier to handle due to recent advances in technology and the diversification of equipment. The LOAA equipment used in this study is a semiconductor method that is different from the existing droplet digital PCR and has ultra-fast, ultra-light, ultra-compact, and ultra-sensitive features. We designed the probe and primer set based on the SNPs of the eqCD1a6 gene with the most variation between the Jeju horse and Thoroughbred. For the sample, 10 gDNA samples were used for each Jeju horse and Thoroughbred. As a result, it was shown that the unique aspect of the Jeju horse was confirmed through the molecular marker, and the accuracy reached 80% (Figure 8)
Figure 8. A molecular marker was applied to Jeju horse and Thoroughbred samples in digital PCR assays. A schematic dot plot diagram showing the molecular marker result. The yellow cluster on the plot expresses the control droplets. The green cluster (FAM) and red cluster (SFC620) express the positive droplets for Jeju horse-specific and Thoroughbred-specific, respectively.
In this study, since only one probe was used, it showed an accuracy of 80%. However, we predict that designing Jeju horse-specific probes based on sequence information of various SNPs will be a more accurate species molecular marker. Based on these results, it is thought that this experimental method can be applied to various fields. Furthermore, if digital PCR is as easy to operate and lightweight as LOAA, it is expected that digital PCR is expected to be fully utilized in point of care testing (PoCT).

This entry is adapted from the peer-reviewed paper 10.3390/ani11071924

References

  1. Ludwig, A.; Pruvost, M.; Reissmann, M.; Benecke, N.; Brockmann, G.A.; Castanos, P.; Cieslak, M.; Lippold, S.; Llorente, L.; Malaspinas, A.S.; et al. Coat color variation at the beginning of horse domestication. Science 2009, 324, 485.
  2. Outram, A.K.; Stear, N.A.; Bendrey, R.; Olsen, S.; Kasparov, A.; Zaibert, V.; Thorpe, N.; Evershed, R.P. The earliest horse harnessing and milking. Science 2009, 323, 1332–1335.
  3. Lippold, S.; Matzke, N.J.; Reissmann, M.; Hofreiter, M. Whole mitochondrial genome sequencing of domestic horses reveals incorporation of extensive wild horse diversity during domestication. BMC Evol. Biol. 2011, 11, 328.
  4. Petersen, J.L.; Mickelson, J.R.; Rendahl, A.K.; Valberg, S.J.; Andersson, L.S.; Axelsson, J.; Bailey, E.; Bannasch, D.; Binns, M.M.; Borges, A.S.; et al. Genome-wide analysis reveals selection for important traits in domestic horse breeds. PLoS Genet. 2013, 9, e1003211.
  5. Zhou, M.; Wang, Q.; Sun, J.; Li, X.; Xu, L.; Yang, H.; Shi, H.; Ning, S.; Chen, L.; Li, Y.; et al. In silico detection and characteristics of novel microRNA genes in the Equus caballus genome using an integrated ab initio and comparative genomic approach. Genomics 2009, 94, 125–131.
  6. Gim, J.A.; Hong, C.P.; Kim, D.S.; Moon, J.W.; Choi, Y.; Eo, J.; Kwon, Y.J.; Lee, J.R.; Jung, Y.D.; Bae, J.H.; et al. Genome-wide analysis of DNA methylation before-and after exercise in the thoroughbred horse with MeDIP-Seq. Mol. Cells 2015, 38, 210–220.
  7. Kim, N.Y.; Seong, H.S.; Kim, D.C.; Park, N.G.; Yang, B.C.; Son, J.K.; Shin, S.M.; Woo, J.H.; Shin, M.C.; Yoo, J.H.; et al. Genome-wide analyses of the Jeju, Thoroughbred, and Jeju crossbred horse populations using the high density SNP array. Genes Genom. 2018, 40, 1249–1258.
  8. Wade, C.M.; Giulotto, E.; Sigurdsson, S.; Zoli, M.; Gnerre, S.; Imsland, F.; Lear, T.L.; Adelson, D.L.; Bailey, E.; Bellone, R.R.; et al. Genome sequence, comparative analysis, and population genetics of the domestic horse. Science 2009, 326, 865–867.
  9. Park, K.D.; Park, J.; Ko, J.; Kim, B.C.; Kim, H.S.; Ahn, K.; Do, K.T.; Choi, H.; Kim, H.M.; Song, S.; et al. Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq. BMC Genom. 2012, 13, 473.
  10. Yang, Y.H.; Kim, K.I.; Cothran, E.G.; Flannery, A.R. Genetic diversity of Cheju horses (Equus caballus) determined by using mitochondrial DNA D-loop polymorphism. Biochem. Genet. 2002, 40, 175–186.
  11. Zhang, C.; Ni, P.; Ahmad, H.I.; Gemingguli, M.; Baizilaitibei, A.; Gulibaheti, D.; Fang, Y.; Wang, H.; Asif, A.R.; Xiao, C.; et al. Detecting the Population Structure and Scanning for Signatures of Selection in Horses (Equus caballus) from Whole-Genome Sequencing Data. Evol. Bioinform. Online 2018, 14, 1176934318775106.
  12. Do, K.T.; Lee, J.H.; Lee, H.K.; Kim, J.; Park, K.D. Estimation of effective population size using single-nucleotide polymorphism (SNP) data in Jeju horse. J. Anim. Sci. Technol. 2014, 56, 28.
  13. Yoon, S.H.; Kim, J.; Shin, D.; Cho, S.; Kwak, W.; Lee, H.K.; Park, K.D.; Kim, H. Complete mitochondrial genome sequences of Korean native horse from Jeju Island: Uncovering the spatio-temporal dynamics. Mol. Biol. Rep. 2017, 44, 233–242.
  14. Metzger, J.; Tonda, R.; Beltran, S.; Agueda, L.; Gut, M.; Distl, O. Next generation sequencing gives an insight into the characteristics of highly selected breeds versus non-breed horses in the course of domestication. BMC Genom. 2014, 15, 562.
  15. Bindea, G.; Mlecnik, B.; Hackl, H.; Charoentong, P.; Tosolini, M.; Kirilovsky, A.; Fridman, W.H.; Pages, F.; Trajanoski, Z.; Galon, J. ClueGO: A Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks. Bioinformatics 2009, 25, 1091–1093.
  16. Porcelli, S.A.; Modlin, R.L. The CD1 system: Antigen-presenting molecules for T cell recognition of lipids and glycolipids. Annu. Rev. Immunol. 1999, 17, 297–329.
  17. Rahman, M.T.; Herron, L.L.; Kapur, V.; Meijer, W.G.; Byrne, B.A.; Ren, J.; Nicholson, V.M.; Prescott, J.F. Partial genome sequencing of Rhodococcus equi ATCC 33701. Vet. Microbiol. 2003, 94, 143–158.
  18. Park, S.H.; Bendelac, A. CD1-restricted T-cell responses and microbial infection. Nature 2000, 406, 788–792.
  19. Dossa, R.G.; Alperin, D.C.; Hines, M.T.; Hines, S.A. The equine CD1 gene family is the largest and most diverse yet identified. Immunogenetics 2014, 66, 33–42.
  20. Proutski, V.; Holmes, E. SWAN: Sliding window analysis of nucleotide sequence variability. Bioinformatics 1998, 14, 467–468.
More
This entry is offline, you can click here to edit this entry!
Video Production Service