The Equine Volatilome: Volatile Organic Compounds as Discriminatory Markers

The Equine Volatilome: Volatile Organic Compounds as Discriminatory Markers

Accepted Manuscript The Equine Volatilome: Volatile Organic Compounds as Discriminatory Markers Ketaki Deshpande, Kenneth g. Furton, De etta k. Mills ...

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Accepted Manuscript The Equine Volatilome: Volatile Organic Compounds as Discriminatory Markers Ketaki Deshpande, Kenneth g. Furton, De etta k. Mills

PII:

S0737-0806(17)30431-8

DOI:

10.1016/j.jevs.2017.05.013

Reference:

YJEVS 2331

To appear in:

Journal of Equine Veterinary Science

Received Date: 4 May 2017 Revised Date:

26 May 2017

Accepted Date: 29 May 2017

Please cite this article as: Deshpande K, Furton Kg, Mills Dek, The Equine Volatilome: Volatile Organic Compounds as Discriminatory Markers, Journal of Equine Veterinary Science (2017), doi: 10.1016/ j.jevs.2017.05.013. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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SPME-GC-MS analysis of hair samples of domestic horses determines kinship as well as

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provides evidence of breed specific signals based on volatile organic compound profiles.

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Title - THE EQUINE VOLATILOME: VOLATILE ORGANIC COMPOUNDS AS DISCRIMINATORY MARKERS

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Authors - KETAKI DESHPANDE 1,2, KENNETH G. FURTON 1,3 & DE ETTA K. MILLS* 1,2

International Forensic Research Institute; 2 Department of Biological Sciences;

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Department of Chemistry and Biochemistry, Florida International University, Miami,

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FL 33199 USA

Corresponding Author - DeEtta K. Mills, Florida International University. 11200 SW 8th Street, OE 167, Biological Sciences, Miami, FL 33199, United States.

ABSTRACT

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Phone: 305-348-7410, Fax Number: 305-348-1986, E-mail: [email protected]

Background: Animals rely on subtle signals perceived between individuals that convey

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information such as sex, reproductive status, individual identity, ownership, competitive ability as well as health status. These cues have important influences on behaviors that

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are vital for reproductive success, such as parent–offspring attachment, recognition of relatedness, mate choice and territorial marking.

Objective: This study investigates

individual odor profiles as discriminatory markers possibility affecting equine behavior. Methodology: This study investigated the volatile compounds in horses using solid phase microextraction gas chromatography-mass spectrometry and hair samples. Study design: Two horses breeds, Appaloosa (n=6) and Quarter Horses (n=17), were used as a model to

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assess the volatilome that may be used to identify individuals and kin recognition. Results: A total of 187 volatiles were identified and demonstrated that the volatilome carries information on genetic relatedness. Interestingly, apart from individualization and

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kinship, the volatiles detected were also able to discriminate between breeds. Main limitations: The study is limited exclusively two horse breeds and should be expanded to include other domestic and wild horses. Additionally, compounds were identified based

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on NIST 98 mass spectral library. Conclusions: The results of this study support the individual odor hypothesis suggesting that each individual possesses a unique scent that

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acts as a characteristic or odor fingerprint. Such qualitative and quantitative patterns have not been explored in domestic or wild animals and there is a need to understand more about the influence of odor on behavior and interactions.

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hair

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Key Words – Kin; breed-specific; domestic; volatilome; Volatile organic compounds;

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ABSTRACT

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Background: Animals rely on subtle signals perceived between individuals that convey

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information such as sex, reproductive status, individual identity, ownership, competitive

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ability as well as health status. These cues have important influences on behaviors that

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are vital for reproductive success, such as parent–offspring attachment, recognition of

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relatedness, mate choice and territorial marking.

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individual odor profiles as discriminatory markers possibility affecting equine behavior.

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Methodology: This study investigated the volatile compounds in horses using solid phase

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microextraction gas chromatography-mass spectrometry and hair samples. Study design:

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Two horse breeds, Appaloosa (n=6) and Quarter Horses (n=17), were used as a model to

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assess the volatilome that may be used to identify individuals and kin recognition.

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Results: A total of 187 volatiles were identified and demonstrated that the volatilome

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carries information on genetic relatedness. Interestingly, apart from individualization and

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kinship, the volatiles detected were also able to discriminate between breeds. Main

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limitations: The study is limited exclusively two horse breeds and should be expanded to

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include other domestic and wild horses. Additionally, compounds were identified based

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on NIST 98 mass spectral library. Conclusions: The results of this study support the

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individual odor hypothesis suggesting that each individual possesses a unique scent that

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acts as a characteristic or odor fingerprint. Such qualitative and quantitative patterns

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have not been explored in domestic or wild animals and there is a need to understand

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more about the influence of odor on behavior and interactions.

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Objective: This study investigates

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Key Words – Kin; breed-specific; domestic; volatilome; Volatile organic compounds;

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INTRODUCTION

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Olfactory cues function in the animal kingdom to distinguish between kin and

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predators, detect food sources and even environmental toxins. The core body odors

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(volatilome) are emitted volatile organic compounds (VOCs) that are the end products of

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metabolism [1]. Factors such as genetics, diet, environment, the microbiome present on

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the body, and even exogenous materials modulate the VOCs and can contribute to an

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individual’s odor profile. Moreover, disease processes, such as infection, parasite load, or

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endogenous metabolic disorders, can influence an individual’s odor profile by producing

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different volatiles or by changing the proportions of VOCs that are normally produced

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[2]; thus, they convey information about an individual’s metabolic or physiological

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status. The olfactory differentiation for mating preferences and conspecific identification

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or kin recognition has been studied across various taxonomic groups including rodents [3,

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4,5] fish [6], Swedish sand lizards [7], birds [8], Tuco-tucos [9], otters [10] and lemurs

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[11,12]. Although most of these studies did not focus on the individual components of the

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odor, they led to the conclusion that individuals have a distinct body-odor type, which is

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influenced by their inherited MHC alleles, and plays a pivotal role in kin recognition,

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mate selection and identification of dissimilar or similar individuals [13].

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Horses, like all mammals, can recognize and discriminate chemical signals, which

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provide essential information for individual and herd survival and greatly influence their

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social behavior [14]. The large olfactory bulbs in a horse’s brain exhibit a convoluted

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surface, while the large size of the olfactory epithelium suggest that olfactory information

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is vital to horses. Additionally, horses exhibit a well-developed vomeronasal organ that

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is receptive to nonvolatile, large, species-specific molecules found in body secretions

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[14]; hence, they have a highly developed olfactory capacity. Observational studies of

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domestic and wild/feral horses have described how horses recognize each other on the

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basis of body odors, urine, and feces [15,16,17]. Recognition at the individual level

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guides the horse’s response based on previous experiences and determines the outcome of

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the interactions. Close proximity mutual sniffing has been seen during horse greetings

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and sexual advances that include blowing air on the face, standing parallel and sniffing

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the neck and under another’s belly [18]. Horses often sniff excrement (dung piles) [19]

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that allows horses to recognize other individuals [20,21] and to differentiate the sex of the

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horse by its feces [18]. In fact, stallions create fecal piles known as stud piles and

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repeatedly return to them to defecate as a territorial marking behavior [22,23]. Similar

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practices are seen when the harem stallion covers an area with his urine where the harem

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female horses have previously urinated or defecated [24,25]. Such greetings and scent

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marking displayed by feral and domestic horses, suggest that odor is crucial in social

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encounters and it is used to gather useful information from the chemical cues [20].

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Curran et.al have proposed that individuals emanate “primary odor” VOCs that

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are unique and stable over time regardless of diet or environmental factors and has

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demonstrated using SPME/GC-MS that comparison of the presence and ratios of these

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primary odor VOCs, individual humans can be differentiated [26,27,28]. Penn et al. have

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proposed an “individual odor hypothesis” also suggesting that each individual possesses a

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unique VOC fingerprint [29]. The objective of the present study was to investigate odor

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profiles from domestic horses, Equus caballus. Evidence for equine body volatiles that

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are presumably used for individual discrimination is lacking; therefore, this study

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examined the VOC profiles of domestic horses to determine the components of an

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individual’s odor and whether these profiles can reliably indicate a degree kinship.

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METHODS AND MATERIALS

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Sample Collection

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Triplicate hair samples were donated by the horse owners and plucked from the

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manes of 23 domestic horses (Table 1). Mane hair samples (each ≈10 mg) were collected

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from each horse using sterile disposable gloves. The sample were immediately placed

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into 10-mL glass clear, screw top vials (Supelco, Bellefonte, PA), sealed and allowed to

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equilibrate for 24 h prior to SPME extraction. The usages of specific horse fly sprays,

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feed, bathing routines were noted for all samples.

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sampling and use of fly spray was avoided with the exception of Horse H5, who suffered

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from insect bite hypersensitivity and was under treatment. Empty 10-mL vials (Supelco)

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were exposed to the stable’s atmosphere for environmental VOC collection at each

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sampling time. All the horses included in this study were fed the same feed and managed

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in a similar fashion.

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Solid-Phase Microextraction (SPME)- Gas Chromatography-Mass Spectrometry (GC-

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MS) Procedures

Horses were not bathed before

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Solid-Phase Microextraction (SPME) coupled with GC-MS is a sampling

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technique that involves the use of a fiber coated with an extracting phase, that can capture

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different analytes from samples. The GC works on the principle that a mixture will

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separate into individual substances when heated, while mass spectrometry identifies

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compounds by the mass of the analyte molecule. This enables the identification of VOCs,

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which are secondary volatile metabolites and contribute to an individual’s unique odor

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profile. Divinylbenzene/Carboxen on Polydimethylsiloxane (CAR/DVB on PDMS) 50/30

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µm fibers (Supelco) were used to extract the VOCs from the headspace of the vials

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containing the hair samples and environmental blanks. Fiber exposure was conducted at

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room temperature for 12 h. The samples were separated and analyzed by GC-MS using

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an Agilent 6890 GC with a 5973 MS. A HP5-MS column, with helium as the carrier gas

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at flow rate of 1.0 mL/min for the separation of the analytes was used. The extracted

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VOCs were desorbed in the injection port at 250°C for 10 min in splitless mode. The

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temperature program was: initial oven temperature of 40°C for 5 min, 10°C per minute

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ramp to a final temperature of 250°C, and a final hold for 2 min for a total run time of 32

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min. The mass spectrometer used was an HP 5973 MSD with a quadrupole analyzer in

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full scan mode. The compounds were identified using the NIST 98 mass spectral library.

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The criterion for the identification of compounds was based on the quality of the detected

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peak, set at greater than or equal to 40%. Additionally, compounds detected in all three

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replicates at the same retention time were considered as part of an individual’s

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volatilome.

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Statistical Analysis

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Prior to statistical analyses, data were reduced by removing compounds present in

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the environmental blanks and in Pyranha fly spray based on the MSDS description.

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Further, compound names were searched on ChemSpider [30] to assess if they were

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related to equine husbandry practices or presence in the environment.

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commonly associated with ointments and plant/feed related compounds were removed

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from the analysis. The relative ratio of each VOC’s abundance was calculated for all

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VOCs and, subsequently transformed using square-root transformation.

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Spearman Rank Correlation

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Compounds

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Each horse’s VOC profile was statistically evaluated to determine the similarity

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between each replicate. The replicate profiles for each horse were then averaged to

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produce a single representative VOC profile.

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correlated, in a pair wise manner, to the rest of the horses using Spearman rank

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correlations.

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Multivariate Analyses of Volatiles

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Each individual VOC profile was

A non-metric multidimensional scaling (nMDS) plot is a visualization of the

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pattern of proximities based on similarities or distances among the objects. The analysis

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was performed in order to identify similarity/differences of (i) replicates from each horse

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(ii) horse breeds and (iii) kinship. The analyses were performed using Primer-E ver 7

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software [31] to create a similarity matrix among variables using the Bray-Curtis

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similarity coefficient. The relative ratios were used for hierarchical cluster analysis

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(HCA) using the complete linkage method. In order to observe percent similarity, the

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cluster analysis output was overlaid on the nMDS ordination plots, indicated by circles

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grouping the data.

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Differences in composition of compounds within groups were tested using an Analysis of

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Similarities (ANOSIM) [32]. Similarity Percentage analysis (SIMPER) was performed to

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determine which compounds influenced the discrimination observed between the

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individuals, breeds and kin. Heatmaps were generated to visualize the contribution of top

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47 compounds obtained in SIMPER analyses. The heatmap is based on relative ratio of

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compounds where the regions of white represent absence of a compound, blue represents

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low relative abundance while dark red indicates higher relative abundance with highest

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value of 0.52.

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140 RESULTS

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The hair samples revealed compounds from various functional groups: alkanes,

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alcohols, hydrocarbons, aldehydes, alkenes, amines/amides, ketones, esters, and indols

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(n=187).

Three VOC with varying abundances were detected in 100% of horses

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sampled;

Nonanal,

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Dibromo-2-Methyl- Undecane. Ninety-eight compounds were specific to Quarter Horses;

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however, no one compound was common across all 17 Quarter Horses.

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Spearman Rank Correlations

Fluoren-9-Ol,

3,6-Dimethoxy-9-(2-Phenylethynyl)-,

and

1,2-

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Among horses of known relationships (parent-offspring, full sibling sharing dam

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and sire, half sibling sharing dam or sire), correlation coefficient of ≥ 0.7 (S1) was

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observed. These values demonstrate that, though there are qualitative similarities with

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presence/absence of VOCs between horses, the difference in relative abundance ratios

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allowed for a higher percentage of discrimination between related and unrelated horses.

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Multivariate Analysis

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The nMDS plot (Figure 1) with a stress value of 0.15 and 80% similarity shows

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the VOC replicates for each horse and indicated that VOC from hair samples were stable

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over time and reproducible. In support of the ‘individual odor hypothesis’, there was a

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significant difference among each horse’s profile (R = 0.90; P < 0.001) in comparison to

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other horses. The nMDS plot with a stress value of 0.15 (Figure 2) using the averages

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showed a clear separation of Appaloosa and Quarter Horse breeds (R=0.814; P < 0.001).

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The 40% similarity grouping was observed for related horses while a 20% similarity was

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seen between horse breeds.

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The nMDS plot (Figure 3) with a stress value of 0.15 indicated that the sampling

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site (stables) had minimal effect on grouping of the horses when related individuals are

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included in the study. This suggests that animal husbandry practices did not have an

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influence on the VOC profiles. Overall, plots showed that VOC profiles are different for

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each horse and consequently, one can individualize them. The HCA clearly grouped the

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Appaloosas separate from the Quarter Horses demonstrating breed specific patterns.

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Although clustering of related horses was quite evident, clustering of distant relationships

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was also observed for horses H15 – H16 – H17, were H15 is the uncle to H16 and H17

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from the dam’s lineage.

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SIMPER analyses of the dominant 47 compounds were able to discriminate the

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Appaloosa and Quarter Horse breeds (S2). The average dissimilarity between the breeds

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was 77.03%. Using these 47 compounds, the heatmap (Figure 4) indicated the relative

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ratio differences that provide individual uniqueness and the clustering of the two breeds.

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The heatmap revealed that, rather than just a simple presence or absence of compounds,

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the relative ratio of compounds differed across the horses sampled.

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178 DISCUSSION

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The potential role of olfaction in horses is known by a relatively small number of

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published studies concentrated primarily on the role of odor in horse mating behavior and

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sex identification. Such studies have focused on volatile chemical markers from feces

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and urine samples that fluctuate with ovulation or the estrus cycle in mares [33,34] and

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can elicit a response from stallions. The current study targeted odor profiles from hair

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samples in order to learn whether particular individuals have a specific odor profile.

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Cumulative VOC profiles considering presence/absence of compounds along with

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relative ratios can successfully individualize horses supporting the “individual odor

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hypothesis” [29]. As has been seen in vertebrate species like lemurs [35], mandrills [36],

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deer [37], and now the odor profiles in horses, a high percentage of chemical compounds

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were shared among profiles of all horses. However, the significant differences between

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each individual suggested that the uniqueness in the chemical profile depends more on

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the concentration of compounds and on complex interactions between compounds than

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on the simple presence or absence of specific chemicals compounds [28,38]. Using

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headspace SPME method Curran et al., further showed that a combination of the relative

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ratios of compounds and the presence of differing compounds allows for the

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chromatographic distinction among individuals [27]. Curran et al. found that compounds

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were present in differing ratio patterns between the males and females, thus indicating

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qualitative similarities among individuals with quantitative differences [28].

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In a study conducted by Celerier et al., it was shown that mice were able to detect

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baboons based on individual odor differences and were able to perceive a higher odor

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similarity between related baboons than between unrelated baboons. The ability of mice

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to discriminate other mammal species based on their odor suggests that odors may play a

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role in both the signaling of individual characteristics and of relatedness among

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individuals [39]. This supports the observed variation in volatiles between horses and

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was indicative of an individual-specific odor that could aid in individual identification,

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which may influence the behavioral responses. In this study, it is interesting to observe

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that volatiles patterns differentiated between breeds even when stabled in different

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locations. Horses that were housed at the same location but not related demonstrated that

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housing and management appeared to have little influence on their volatile profiles. This

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is contrary to the findings in otters housed in the same location where the similarity was

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attributed to common diet as a potential explanation [40]. Grouping of horses with

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unknown relationships may be due to variables that were not investigated in this study,

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for example, age, current reproductive or health status of the individuals.

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From an evolutionary standpoint, kin recognition aids in parental care, kin

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altruism, inbreeding avoidance, and maintenance of optimal outbreeding.

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choice, most animals mate with unrelated or distant relatives. This innate selection is

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thought to be evolutionarily favored, as it should improve their inclusive fitness and

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decrease the effects of inbreeding on the population [12]. In lemurs it was observed that

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chemical cues coded genetic relatedness within and between sexes. Additionally, these

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chemicals showed a seasonal pattern demonstrating variation in accordance to the

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competitive breeding season of lemurs. Boulet et al., suggest that a strong olfactory

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signal of relatedness during breeding seasons would be crucial for preventing inbreeding

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[12]. This manner of discrimination can be treated as a communication mechanism

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where prior to identification, the animal must be able to receive relevant signals from

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other individuals and distinguish appropriately between them [41].

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provided the individual odor cues vary. Therefore, studying body volatiles may enable

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one to better understand how animals use kin-biased behavior in their interactions within

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breeding populations [42].

This can occur

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When considering relationships in horses, breed lineages need to be queried rather

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than just assessing direct descendants such as parent-offspring or siblings. Such closely

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line bred pedigrees as seen in today’s domestic horses could group horses that might not

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share a direct relationship through a sire or dam. Even though all sire and dam pairs were

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not known in the study, VOC profiles were able to demonstrate relatedness between

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horses with known lineages. Although the closely related horses had similar chemical

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components, it cannot be said that horses from the same kin group share the exact odor

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phenotype.

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compared to distant kin indicated a graded or continuous relationship of the volatilome

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within kin groups when using relative abundances rather than a discrete presence/absence

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[5]. In a study on rodents, males recognized similarities in the odors of brothers when

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The greater similarity detected between odor profiles of half siblings

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compared to an unrelated male [5]. In this study similarities were observed between the

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odors of double cousins and cousins demonstrating that kinship from siblings to cousins

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is reflected in odor similarity. It can also be postulated that similar to wild birds [43] and

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primates [12], horses may be recognizing similar odor profiles and responding to

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individuals based on the degrees of genetic relatedness and to identify kin/non-kin.

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It has been suggested that individual identification is one of the most important

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cues used in vertebrate chemical communication [44]. The evaluation of relatedness may

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be crucial in socio-sexual behavior of harem/herd animals like horses, especially if left to

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random mating instead of artificial selection now used in domestic horse breeding

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practices. Odor profiles can provide an array of information about the horse’s social,

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reproductive, or health status and as was seen in this study, the animal’s identity, breed,

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and kinship. It has been established that VOCs may play an important part in identifying

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individuals, establishing dominance [45], signaling sexual readiness [11], facilitating

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mate choice for genetically dissimilar individuals [46] and inbreeding avoidance [47].

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The results in this study indicate that individual odor profiles could play a key role in

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signaling individual characteristics, relatedness and that these volatile cues may possibly

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be used for kin recognition in horses.

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COMPETING INTERESTS

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The authors have no competing interests.

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Figure 1. The nMDS plot with similarity analysis overlay showed a tight grouping of

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replicate samples from each horse. The overlapping or adjacent clusters of replicates for

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each horse indicated that the volatiles obtained from hair samples were constant and

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reproducible. The grouping of replicates also individualizes horses based on their VOC

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profiles.

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Figure 2. The nMDS plot with similarity analysis overlay grouped the horses according to

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the two breeds included in study. Closed circles are Appaloosa horses while closed

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triangles depict Quarter Horses.

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grouping away from the 17 Quarter Horses demonstrating breed specific signal in VOC

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profiles.

The nMDS plot shows the six Appaloosa horses

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Figure 3. The nMDS plot with similarity analysis overlay indicated that the stable in

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which the horses were kept had little influence on the VOC profiles for each horse.

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Horses grouped closer to related individuals rather than horses that were housed in the

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same stables. This demonstrated little to no effect of housing environment on the VOC

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profiles.

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Figure 4. A hierarchical cluster analyses and heatmap of the volatiles that differentiated

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Appaloosa and Quarter Horse breeds, as well as each individual. The X-axis represents a

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grouping of related and unrelated horses, while Y-axis are the 47 compounds contributing

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to differences in breeds. White represents no difference in relative abundance and dark

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red represents maximum relative abundance. The heat map indicated a clear difference in

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relative ratios rather

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individualization of VOC for horses.

presence absence

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compounds

contributing to

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Table 1. Information on the horses used in this study. Data on sex, relatedness, stable and

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breed were noted and assessed in the study.

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Table 1.

Sex

Known Dam

Dam

Sire

Related horses

Male

Dam 5

Sire 1

H4, H5

H2

Male

Dam 4

Sire 6

H3

H3

Female

Dam 4

Sire 7

H2

H4

Female

Dam 9

Sire 1

H1, H5

H5

Male

Dam 10

Sire 1

H1, H4

H6

Male

Dam 11 Sire 11

H7

Female

H8

Unknown

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Dam 1

Dam 12

Sire 8

H8, H9, H10

Male

Dam 1

Sire 2

H7, H9, H10

H9

Female

Dam 1

Sire 3

H7, H8, H10, H12

H10

Female

Dam 1

Sire 4

H7, H8, H9

H11

Female

Sire 9

H12

H12

Male

H13

Female

H14

Male

H15

Male

H16

Female

Dam 6

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Dam 2

Dam 2

Sire 3

H11

Dam 7

Sire 10

Unknown

Dam 3

Sire 2

Unknown

Dam 19 Sire 18

H16, H17

Dam 8

Sire 5

H15, H17

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Dam 3

Stable 1 Stable 1 Stable 1 Stable 2 Stable 2 Stable 2 Stable 1 Stable 1 Stable 1 Stable 1 Stable 1 Stable 1 Stable 1 Stable 1 Stable 3 Stable 3 Stable 3 Stable 4 Stable 4 Stable 2 Stable 5 Stable 5

Breed

Appaloosa

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H1

Stable

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Identifier

H17

Female

Dam 8

Sire 5

H15, H16

H18

Female

Dam 17 Sire 16

Unknown

H19

Female

Dam 18 Sire 17

Unknown

H20

Male

Dam 13 Sire 12

Unknown

H21

Female

Dam 14 Sire 13

Unknown

H22

Male

Dam 15 Sire 14

Unknown

Quarter Horse

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Dam 16 Sire 15

Female

Stable 5

Unknown

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H23

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Figure 1. The nMDS plot with similarity analysis overlay showed a tight grouping of replicate samples from each horse. The overlapping or adjacent clusters of replicates for each horse indicated that the volatiles obtained from hair samples were constant and

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reproducible. The grouping of replicates also individualizes horses based on their VOC

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profiles.

H1 H2 H3 H4 H5 H6 H7 H8 H9 H10 H11 H12

H13 H14 H15 H16 H17 H18 H19 H20 H21 H22 H23

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Figure 2. The nMDS plot with similarity analysis overlay grouped the horses according to the two breeds included in study. Closed circles are Appaloosa horses while closed triangles depict Quarter Horses.

The nMDS plot shows the six Appaloosa horses

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grouping away from the 17 Quarter Horses demonstrating breed specific signal in VOC

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profiles.

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Figure 3. The nMDS plot with similarity analysis overlay indicated that the stable in which the horses were kept had little influence on the VOC profiles for each horse. Horses grouped closer to related individuals rather than horses that were housed in the

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same stables. This demonstrated little to no effect of housing environment on the VOC

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profiles.

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Figure 4. A hierarchical cluster analyses and heatmap of the volatiles that differentiated Appaloosa and Quarter Horse breeds as well as each individual. The X-axis represents a grouping of related and unrelated horses, while Y-axis are the 47 compounds contributing

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to differences in breeds. White represents no difference in relative abundance and dark red represents maximum relative abundance. The heat map indicated a clear difference in relative ratios rather

than

presence absence

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Quarter Horse

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individualization of VOC for horses.

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contributing to

Appaloosa

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HIGHLIGHTS Volatile organic compounds from hair samples are stable and reproducible over time



Volatile organic compounds collected from hair are able to differentiate horse breeds



Odor profiles are unique between cohorts of related and unrelated horses



Odor profiles show evidence and degree of kinship between individuals



Odor fingerprints are a product of qualitative and quantitative compound patterns

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