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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Main Authors: 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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-05-01
Series:PLoS Genetics
Online Access:https://doi.org/10.1371/journal.pgen.1008146
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spelling 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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