Identification and validation of genetic variants predictive of gait in standardbred horses.
Several horse breeds have been specifically selected for the ability to exhibit alternative patterns of locomotion, or gaits. A premature stop codon in the gene DMRT3 is permissive for "gaitedness" across breeds. However, this mutation is nearly fixed in both American Standardbred trotters...
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2019-05-01
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Online Access: | https://doi.org/10.1371/journal.pgen.1008146 |
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doaj-e7fad45d81574548aee1fced35ca20c82021-05-30T04:31:58ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042019-05-01155e100814610.1371/journal.pgen.1008146Identification and validation of genetic variants predictive of gait in standardbred horses.Annette M McCoySamantha K BeesonCarl-Johan RubinLeif AnderssonPaul CaputoSigrid LykkjenAlison MooreRichard J PiercyJames R MickelsonMolly E McCueSeveral horse breeds have been specifically selected for the ability to exhibit alternative patterns of locomotion, or gaits. A premature stop codon in the gene DMRT3 is permissive for "gaitedness" across breeds. However, this mutation is nearly fixed in both American Standardbred trotters and pacers, which perform a diagonal and lateral gait, respectively, during harness racing. This suggests that modifying alleles must influence the preferred gait at racing speeds in these populations. A genome-wide association analysis for the ability to pace was performed in 542 Standardbred horses (n = 176 pacers, n = 366 trotters) with genotype data imputed to ~74,000 single nucleotide polymorphisms (SNPs). Nineteen SNPs on nine chromosomes (ECA1, 2, 6, 9, 17, 19, 23, 25, 31) reached genome-wide significance (p < 1.44 x 10-6). Variant discovery in regions of interest was carried out via whole-genome sequencing. A set of 303 variants from 22 chromosomes with putative modifying effects on gait was genotyped in 659 Standardbreds (n = 231 pacers, n = 428 trotters) using a high-throughput assay. Random forest classification analysis resulted in an out-of-box error rate of 0.61%. A conditional inference tree algorithm containing seven SNPs predicted status as a pacer or trotter with 99.1% accuracy and subsequently performed with 99.4% accuracy in an independently sampled population of 166 Standardbreds (n = 83 pacers, n = 83 trotters). This highly accurate algorithm could be used by owners/trainers to identify Standardbred horses with the potential to race as pacers or as trotters, according to the genotype identified, prior to initiating training and would enable fine-tuning of breeding programs with designed matings. Additional work is needed to determine both the algorithm's utility in other gaited breeds and whether any of the predictive SNPs play a physiologically functional role in the tendency to pace or tag true functional alleles.https://doi.org/10.1371/journal.pgen.1008146 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Annette M McCoy Samantha K Beeson Carl-Johan Rubin Leif Andersson Paul Caputo Sigrid Lykkjen Alison Moore Richard J Piercy James R Mickelson Molly E McCue |
spellingShingle |
Annette M McCoy Samantha K Beeson Carl-Johan Rubin Leif Andersson Paul Caputo Sigrid Lykkjen Alison Moore Richard J Piercy James R Mickelson Molly E McCue Identification and validation of genetic variants predictive of gait in standardbred horses. PLoS Genetics |
author_facet |
Annette M McCoy Samantha K Beeson Carl-Johan Rubin Leif Andersson Paul Caputo Sigrid Lykkjen Alison Moore Richard J Piercy James R Mickelson Molly E McCue |
author_sort |
Annette M McCoy |
title |
Identification and validation of genetic variants predictive of gait in standardbred horses. |
title_short |
Identification and validation of genetic variants predictive of gait in standardbred horses. |
title_full |
Identification and validation of genetic variants predictive of gait in standardbred horses. |
title_fullStr |
Identification and validation of genetic variants predictive of gait in standardbred horses. |
title_full_unstemmed |
Identification and validation of genetic variants predictive of gait in standardbred horses. |
title_sort |
identification and validation of genetic variants predictive of gait in standardbred horses. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS Genetics |
issn |
1553-7390 1553-7404 |
publishDate |
2019-05-01 |
description |
Several horse breeds have been specifically selected for the ability to exhibit alternative patterns of locomotion, or gaits. A premature stop codon in the gene DMRT3 is permissive for "gaitedness" across breeds. However, this mutation is nearly fixed in both American Standardbred trotters and pacers, which perform a diagonal and lateral gait, respectively, during harness racing. This suggests that modifying alleles must influence the preferred gait at racing speeds in these populations. A genome-wide association analysis for the ability to pace was performed in 542 Standardbred horses (n = 176 pacers, n = 366 trotters) with genotype data imputed to ~74,000 single nucleotide polymorphisms (SNPs). Nineteen SNPs on nine chromosomes (ECA1, 2, 6, 9, 17, 19, 23, 25, 31) reached genome-wide significance (p < 1.44 x 10-6). Variant discovery in regions of interest was carried out via whole-genome sequencing. A set of 303 variants from 22 chromosomes with putative modifying effects on gait was genotyped in 659 Standardbreds (n = 231 pacers, n = 428 trotters) using a high-throughput assay. Random forest classification analysis resulted in an out-of-box error rate of 0.61%. A conditional inference tree algorithm containing seven SNPs predicted status as a pacer or trotter with 99.1% accuracy and subsequently performed with 99.4% accuracy in an independently sampled population of 166 Standardbreds (n = 83 pacers, n = 83 trotters). This highly accurate algorithm could be used by owners/trainers to identify Standardbred horses with the potential to race as pacers or as trotters, according to the genotype identified, prior to initiating training and would enable fine-tuning of breeding programs with designed matings. Additional work is needed to determine both the algorithm's utility in other gaited breeds and whether any of the predictive SNPs play a physiologically functional role in the tendency to pace or tag true functional alleles. |
url |
https://doi.org/10.1371/journal.pgen.1008146 |
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