Abstract
Objective
According to oral traditions of horse caretakers and trainers, the differences in the position and number of facial hair whorls may be associated with temperamental traits. Elucidating genetic background of facial hair whorls and its relationship to temperamental traits may promote more efficient breeding and maintenance of racehorses. In this study, we estimated heritabilities of the position and number of facial hair whorls in Japanese Thoroughbred horses.
Results
The number of facial hair whorls varied from one to four and heritability estimate in 4024 Thoroughbred horses was low (h2= 0.160). The positions of facial hair whorls were categorized into high, medium, and low, based on their locations. This trait was estimated to have high heritability (h2= 0.643) in 3782 Thoroughbred horses. These results indicated that a larger proportion of the variation in the studied population was due to genetic factors for facial hair whorls position. Because a similar result was also observed in another horse breed, Polish Konik horses, high heritability of facial hair whorl position may be characteristic of multiple horse breeds. We expect that these results will stimulate future studies to elucidate the relationship among temperamental traits and facial hair whorls in all horse breeds.
Electronic supplementary material
The online version of this article (10.1186/s13104-019-4386-x) contains supplementary material, which is available to authorized users.
Keywords: Hair whorl, Heritability, Horse, Thoroughbred
Introduction
In general, horses have about 2-cm-long hairs on their body, and hair whorls exist on various body parts. The number and position of hair whorls have been used for individual identification of horses because they are quite individual. Almost all horses have one or more hair whorls on their forehead, and these facial hair whorls are classified into high, medium, and low, based on their position.
According to oral traditions among horse caretakers and trainers, facial hair whorls may be related to temperamental traits in horses [1, 2]. Horses with a hair whorl at the low position might be difficult to handle, and horses with multiple facial hair whorls tend to fear novel items and environmental conditions [3]. In several recent studies, the relationships among facial hair whorls and behaviors were evaluated in horses. Rotation of facial hair whorl correlates with the turning response [4]. Right-lateralized horses have more clockwise facial hair whorls, whereas left-lateralized horses have more counter-clockwise ones [5].
Interestingly, heritability (h2) of facial hair whorl position has been estimated to be 0.753 in primitive Konik horse [6], which is a small and semi-feral horse in Poland. However, there have been no such studies in other breeds.
Thoroughbred is a breed produced by crossing Arabian stallions and native British mares at around seventeenth century, and then it underwent selection for superior racing abilities based on speed and stamina [7]. Therefore, while racing performance trait had been selected in their breeding history, temperament trait was not been selected and was variable in this breed. Several temperament phenotypes may affect not only the race performance but also the use of horses after retirement from racing.
In this study, we aimed to estimate heritabilities of the number and position of facial hair whorls in Japanese Thoroughbred horse populations. Elucidating the genetic background of facial hair whorls may inform horse breeders about temperamental traits, which, in turn, should optimize horse utility. We also hypothesized that positions of facial hair whorls are heritable in multiple horse breeds.
Main text
Materials and methods
Thoroughbred horses
In this study, characteristics of 4845 Thoroughbred horses in Japan were analyzed. These horses were born in 2014 and registered with Japan Racehorse Association (JRA) as racehorses.
Multiple horses were excluded from the original population (4845 horses) for estimating heritability, because of maximum inputs in the GSTM program. Horses in small paternal half-sib families (under 20 or 10 horses at the position and number of facial hair whorls, respectively), and horses with the same phenotypes in their paternal half-sib families were excluded because of less informative.
Phenotypic information
Phenotypic information, namely the number and position of facial hair whorls, sex, and ancestors for three generations (13,057 horses), was collected from the Japan Racing Information System (JARIS), which is a database for JRA racehorses. As shown in Fig. 1, positions of facial hair whorls were classified based on Grandin et al. [8]. Phenotype frequency was manually counted and analyzed.
Heritability estimation
The traits (i.e., the number or position of whorls) were analyzed using non-linear categorical (threshold) trait models in Gibbs Sampling Threshold Model (GSTM) program [9]. To estimate heritability, the pedigree information of the Thoroughbred horses was traced back to three generations (maximum inputs in the GSTM program). The following model was used to perform a non-linear categorical trait analysis:
where Lijk is the normally distributed liability assumed with threshold t behind the categorical phenotypes Yijk of the categorized traits. The category values of Yijk begin with 1. For example, in the case of binary phenotypes, the relationship between Lijk, Yijk, and t is as follows: Yijk = 1 (Lijk ≤ t) and Yijk = 2 (t < Lijk). SEXi is the effect of the ith sex, uk is the breeding value of the kth individual [i.e., it follows normal distribution [N(0, Aσ2u)], and eijk is the residual effect [N(0, Iσ2e)]. In these two distributions, A is the numerator relationship matrix, σ2u is the additive genetic variance, I is the identity matrix, and σ2e is the residual variance.
Heritability (h2) is then defined as σ2u/(σ2u + σ2e). The total number of Gibbs samplings with GSTM program was 1,050,000, with a burn-in period of 50,000, which was sufficiently large for convergence of the parameters estimated in the present study.
Results
Phenotype of facial hair whorls
As shown in Table 1, Thoroughbred racehorses had one to four whorls. The majority of them had one (81.07%) or two (18.65%) whorls. Accordingly, whorl positions were analyzed depending on whether the horse had one (81.07%) and multiple (18.93%) whorls. Furthermore, 55.77% horses had one whorl at the high position, 22.93%—at the medium position, and 2.37%—at the low position.
Table 1.
Number of hair whorls | Counts | Percentage |
---|---|---|
1 | 3928 | 81.07 |
2 | 904 | 18.69 |
3 | 12 | 0.25 |
4 | 1 | 0.02 |
Position of hair whorl | Counts | Percentage |
---|---|---|
High | 2702 | 55.77 |
Medium | 1111 | 22.93 |
Low | 115 | 2.37 |
Multiple | 917 | 18.93 |
Heritability estimates
By eliminating horses in small paternal half-sib families and horses with the same phenotypes as in their paternal half-sib families, 4024 horses that had one (3280 horses) or two (744 horses) whorls and their 10,765 ancestors were used for estimating heritability of facial whorl number. We calculated heritability estimate of whorl number to be 0.160 (Table 2).
Table 2.
Mode | Mean ± SD | 95% CI | |
---|---|---|---|
Number | 0.160 | 0.192 ± 0.061 | 0.093–0.332 |
Position | 0.643 | 0.660 ± 0.097 | 0.478–0.852 |
By eliminating horses in small paternal half-sib families and horses with the same phenotypes as in their paternal half-sib families, 3782 horses with one whorl in the high (2556 horses), medium (1111 horses), and low (115 horses) position, and their 10,592 ancestors were used for estimating heritability of facial whorl position. According to our calculations, heritability estimate of whorl position was 0.643 (Table 2).
The posterior probabilities of the heritability of the whorl number and position showed that those heritability estimates clearly differed from zero and generally distributed normally (Additional file 1: Figure S1), indicating that these are heritable traits.
Discussion
In this study, high heritability (h2= 0.643) of facial hair whorl position was demonstrated in Thoroughbred horses. A similar study in the Konik horse population also reported high heritability of this trait (h2= 0.753) [6]. Because high heritability estimates were obtained independently in different breeds, it can be concluded that a large proportion of the variation in facial hair whorl positions in horses is due to genetic factors.
In contrast, heritability estimate of facial hair whorl number was low (h2= 0.160), although 95% CI of the heritability did not include “zero”, indicating that variation of facial hair whorl number is affected largely by environmental but also by genetic factors.
High heritability of optimal race distance has been reported in a Thoroughbred population (h2= 0.51) [10] and myostatin (MSTN) gene was identified as a single causative gene of this effect by a genome-wide association study (GWAS) using single nucleotide polymorphisms [11]. Moderate heritability of racing performance (win vs. non-win) was estimated in a Japanese Thoroughbred population (h2= 0.34) [12], and a genomic region spanning MSTN was also identified by GWAS by using microsatellites [13]. Hence, it is expected that causative genes underlying facial hair whorl position may be identified in future by GWAS. While heritability of hair whorl number was low, GWAS may also clarify causative genes because the trait may be qualitative (i.e., mainly controlled by a major gene).
Various methods of horse character evaluation have ever been suggested but these may be biased depending on the evaluator [14]. In addition, it is difficult to distinguish between inborn and potentially acquired temperament [15]. Therefore, isolating candidate genes may lead to the development of a genetic test for temperament because of the relatively high heritability of facial hair whorl position. It may also optimize life after racehorse retirement and improve horse welfare.
Conclusion
In conclusion, our results suggested that genetic factors contribute more to the variability of facial hair whorl position rather than to that of whorl number. These findings could be useful for designing a rational plan of racehorse management. We also expect that these results will stimulate future studies to elucidate the relationship among temperamental traits and facial hair whorls in all horse breeds.
Limitations
It should be noted that heritability values were estimated using sample populations, in which horses with the same phenotypes as those in their paternal half-sib family and horses in small paternal half-sib families were eliminated.
Additional file
Acknowledgements
We would like to thank the Japan Racing Association for providing phenotypic data and pedigree information.
Abbreviations
- GSTM
Gibbs Sampling Threshold Model
- GWAS
genome-wide association study
- JARIS
Japan Racing Information System
- JRA
Japan Racehorse Association
- MSTN
myostatin
Authors’ contributions
TT and TI conceived and designed the experiment; TY, TT, TM, YK, and TI performed the experiments; HM, HK, and KK collected phenotypic data and pedigree information; TY and TT drafted the manuscript; HM, HK, and KK provided critical comments and helped with the discussion of the results; all authors reviewed the manuscript and approved the submission of the final version. All authors read and approved the final manuscript.
Funding
The authors received no specific funding for the current study.
Availability of data and materials
All the data supporting the findings are contained within the manuscript.
Ethics approval and consent to participate
In this study, animal experiments was not performed.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher's Note
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Contributor Information
Tamu Yokomori, Email: tamu.y.love.enduring.elle@gmail.com.
Teruaki Tozaki, Email: ttozaki@lrc.or.jp.
Hiroshi Mita, Email: Hiroshi_Mita@jra.go.jp.
Takeshi Miyake, Email: miyake@kais.kyoto-u.ac.jp.
Hironaga Kakoi, Email: h-kakoi@lrc.or.jp.
Yuki Kobayashi, Email: suzuki.yukikb@nihon-u.ac.jp.
Kanichi Kusano, Email: Kanichi_Kusano@jra.go.jp.
Takuya Itou, Email: itou.takuya@nihon-u.ac.jp.
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Supplementary Materials
Data Availability Statement
All the data supporting the findings are contained within the manuscript.