Genetic markers are associated with the ruminal microbiome and metabolome in grain and sugar challenged dairy heifers
Open accessAbstract
Dairy heifers were subjected to a non-life-threatening challenge designed to induce ruminal acidosis by feeding grain and sugar. Large among animal variation in clinical signs of acidosis, rumen metabolite concentrations, and the rumen microbiome occurred. This exploratory study investigates sources of the variation by examining associations between the genome, metabolome, and microbiome, albeit with a limited population. The broader objective is to provide a rationale for a larger field study to identify markers for susceptibility to ruminal acidosis. Initially, heifers (n = 40) allocated to five feed additive groups were fed 20-days pre-challenge with a total mixed ration and additives. Fructose (0.1% of bodyweight/day) was added for the last 10 days pre-challenge. On day-21 heifers were challenged with 1.0% of bodyweight dry matter wheat + 0.2% of bodyweight fructose + additives. Rumen samples were collected via stomach tube weekly (day-0, 7, and 14) and at five times over 3.6 hours after challenge and analyzed for pH and volatile fatty acid, ammonia, D- and L-lactate concentrations. Relative abundance of bacteria and archaea were determined using Illumina MiSeq. Genotyping was undertaken using a 150K Illumina SNPchip. Genome-wide association was performed for metabolite and microbiome measures (n = 33). Few genome associations occurred with rumen pH, concentration of acetate, propionate, total volatile fatty acids, or ammonia, or the relative abundance of the Firmicutes, Bacteroidetes, and Spirochaetes phyla. Metabolites and microbial phyla that had markers associated and quantitative trait loci were: acetate to propionate ratio (A:P), D-, L-, and total lactate, butyrate, acidosis eigenvalue, Actinobacteria, Chloroflexi, Euryarchaeota, Fibrobacteres, Planctomycetes, Proteobacteria, and Tenericutes. A putative genomic region overlapped for Actinobacteria, Euryarchaeota, and Fibrobacteres and covered the region that codes for matrix extracellular phosphoglycoprotein. Other overlapping regions were: (1) Chloroflexi, Tenericutes, and A:P, (2) L- and total lactate and Actinobacteria, and (3) Actinobacteria, Euryarchaeota, Fibrobacteres, and A:P. Genome-wide associations with the metabolome and microbiome occurred despite the small population, suggesting that markers for ruminal acidosis susceptibility exist. The findings may explain some of the variation in metabolomic and microbial data and provide a rationale for a larger study with a population that has variation in acidosis.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A region on chromosome 6 was recently associated with Actinobacteria, Euryarchaeota, and Fibrobacteres densities.
“although a region on chromosome 6 was recently associated with Actinobacteria, Euryarchaeota, and Fibrobacteres densities (Golder et al., 2018).”
From Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present, and future (2018) · cites this paper as Golder et al., 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 34 · Cited by 32
Research works printed but not linked: 3
- Brown D. R. (2011). Phylum XVI. Tenericutes Murray 1984a, 356 (Effective publication: Murray 1984b, 33), in Bergey's Manual of Systematic Bacteriology, Vol. 4, The Bacteroidetes, Spirochaetes, Tenericutes (Mollicutes), Acidobacteria, Fibrobacteres, Fusobacteria, Dictyoglomi, Gemmatimonadetes, Lentisphaerae, Verrucomicrobia, Chlamydiae, and Planctomycetes, eds Krieg N. R. Staley J. T. Brown D. R. Hedlund B. P. Paster B. J. Ward N. L. Ludwig W. Whitman B. (New York, NY: Springer), 567– 723.
- Golder H. M. Celi P. Rabiee A. R. Bramley E. Lean I. J. (2012). Validation of an acidosis model, in Proceedings of the Dairy Research Foundation (Camden, NSW), 122– 126.
- Hungate R. E. (1966). The Rumen and its Microbes. New York, NY: Academic Press Inc.
- Authors
- Golder, H. M., Thomson, J. M., Denman, S. E., McSweeney, C. S., & Lean, I. J.
- Affiliations
- The University of Sydney (AU)
- Montana State University (US)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Corresponding author
- Golder, Helen M.
- Venue
- Frontiers in Genetics
- Publisher
- Frontiers Media SA
- Published
- 2018-02-27
- Volume
- 9
- Pages
- 62-62
- ISSN
- 1664-8021 (ISSN-L)
- PMC
- PMC5835139
- OpenAlex
- W2789076937
- Cited by
- 32
- References
- 34
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 1 · 2023: 5 · 2022: 3 · 2021: 8 · 2020: 4 · 2019: 3 · 2018: 2
- FWCI
- 7.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Genetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Montana State University ScholarWorks (Montana State University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- University of Sydney
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Keywords
- rumen acidosis, dairy heifers, rumen microbiome, rumen metabolome, genetic markers, genome-wide association study, quantitative trait loci, acetate to propionate ratio, lactate, volatile fatty acids, rumen pH, ammonia, feed additives, actinobacteria, Euryarchaeota, Fibrobacteres
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review