Cited by 63Veterinary Equine Medical ResearchGut microbiota and healthRuminant Nutrition and Digestive Physiology

High-starch diets alter equine faecal microbiota and increase behavioural reactivity

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Bulmer, Louise S., Murray, Jo-Anne, Burns, Neil M., Garber, Anna, Wemelsfelder, Francoise, McEwan, Neil R., Hastie, Peter M.·2019·Scientific Reports

Abstract

Gut microbiota have been associated with health, disease and behaviour in several species and are an important link in gut-brain axis communication. Diet plays a key role in affecting the composition of gut microbiota. In horses, high-starch diets alter the hindgut microbiota. High-starch diets are also associated with increased behavioural reactivity in horses. These changes in microbiota and behaviour may be associated. This study compares the faecal microbiota and behaviour of 10 naïve ponies. A cross-over design was used with experimental groups fed high-starch (HS) or high-fibre (HF) diets. Results showed that ponies were more reactive and less settled when being fed the HS diet compared to the HF diet. Irrespective of diet, the bacterial profile was dominated by two main phyla, Firmicutes, closely followed by Bacteroidetes. However, at lower taxonomic levels multivariate analysis of 16S rRNA gene sequencing data showed diet affected faecal microbial community structure. The abundance of 85 OTUs differed significantly related to diet. Correlative relationships exist between dietary induced alterations to faecal microbiota and behaviour. Results demonstrate a clear link between diet, faecal microbial community composition and behaviour. Dietary induced alterations to gut microbiota play a role in affecting the behaviour of the host.

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  • Strong associations between increased behavioral reactivity and a microbial profile elicited by a high-starch diet, as well as more settled behaviors associated with microbes promoted by a high-fiber diet, were observed in horses.

    “Likewise, strong associations between increased behavioral reactivity and a microbial profile elicited by a high-starch diet, as well as more settled behaviors associated with microbes promoted by a highfiber diet, were observed in horses (323).”

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  1. [34]National Research Council, Nutritional Requirements of Horses: Sixth Edition. (The National Academies Press, 2007).

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Authors
Bulmer, L. S., Murray, J.-A., Burns, N. M., Garber, A., Wemelsfelder, F., McEwan, N. R., & Hastie, P. M.
Affiliations
  • University of Glasgow (GB)
  • Robert Gordon University (GB)
Corresponding author
Bulmer, Louise S.
Venue
Scientific Reports
Published
2019-12-09
Volume
9
Issue
1
Pages
18621-18621
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2944773740
Cited by
63
References
53
Citations by year
2026: 7 · 2025: 9 · 2024: 16 · 2023: 7 · 2022: 5 · 2021: 12 · 2020: 6 · 2019: 1
FWCI
11.08
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion, cc-by-sa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
  • Open Access Institutional Repository at Robert Gordon University (Robert Gordon University) (submittedVersion, cc-by)
Funders
  • University of Glasgow
  • Scotland’s Rural College
Topics
  • Health Sciences › Veterinary › Equine › Veterinary Equine Medical Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
Keywords
high-starch diet, high-fiber diet, gut microbiota, behavioural reactivity, horses, ponies, gut-brain axis, microbial community structure, Firmicutes, Bacteroidetes
MeSH terms
Bacillota, Gastrointestinal Microbiome, Animals, Animal Feed, Behavior, Animal, Brain, Dietary Fiber, Feces, Horses, Intestines, RNA, Ribosomal, 16S, Starch, Multivariate Analysis, Sequence Analysis, RNA, Cross-Over Studies, Bacteroidetes

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