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Record W4353085457 · doi:10.1101/2023.03.21.533572

Whole-body Microbiota of Newborn Calves and Their Response to Prenatal Vitamin and Mineral Supplementation

2023· preprint· en· W4353085457 on OpenAlexaff
Sarah M. Luecke, Devin B. Holman, Kaycie N. Schmidt, Katherine E. Gzyl, Jennifer L Hurlbert, Ana Clara B Menezes, Kerri A Bochantin, James D Kirsch, Friederike Baumgaertner, Kevin K. Sedivec, Kendall C Swanson, Carl R Dahlen, Samat Amat

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2023
Typepreprint
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsAgriculture and Agri-Food Canada
FundersNorth Dakota Agricultural Experiment StationNorth Dakota State University
KeywordsColostrumBiologyVaginaRumenMicrobiomeAnimal scienceGestationPhysiologyPregnancyImmunologyFood scienceAnatomyAntibodyFermentation

Abstract

fetched live from OpenAlex

ABSTRACT Here, we investigated whether initial microbial colonization at seven different anatomical locations in newborn calves and their blood cytokines are influenced by prenatal vitamin and mineral (VTM) supplementation. Samples were collected from the hoof, liver, lung, nasal cavity, eye, rumen (tissue and fluid), and vagina of beef calves that were born from dams that received diets with or without VTM supplementation throughout gestation (n=7/group). Calves were separated from their dams immediately after birth and fed colostrum and milk replacer until euthanasia at 30 h post-initial colostrum feeding. The microbiota of all samples was assessed using 16S rRNA gene sequencing and qPCR. 15 cytokines and chemokines were quantified in their serum. The hoof, ocular, liver, respiratory, and reproductive sites of newborn calves were colonized by site-specific microbiota that differed from that of the rumen (0.64 ≥ R 2 ≥ 0.12, P ≤ 0.003). Only the ruminal fluid microbiota was differed by on prenatal VTM supplementation ( P< 0.01 Differences ( P <0.05) were detected in microbial richness (vagina), diversity (ruminal tissue and fluid, eye), composition at the phylum and genus level (ruminal tissue and fluid, and vagina), and total bacterial abundance (ocular and vagina) between VTM and control calves. The cytokine IP-10 was higher ( P =0.02) in VTM calves. Overall, our results suggest that despite immediate separation from the dam upon birth, whole-body of 32-h old calves are colonized by relatively rich, diverse and site-specific bacterial communities, and that initial microbial colonization of the rumen, vagina and oculus seem to be influenced by the prenatal VTM supplementation. IMPORTANCE Increased appreciation of maternal nutrition and microbiome’s involvement in developmental programming and evidence supporting in utero microbial colonization highlight that maternal nutrition factors could impact offspring microbial colonization. Here, we investigated whether initial microbial colonization in any of 7 different anatomical sites of newborn calves was influenced by maternal vitamin and mineral (VTM) supplementation. We identified changes in ruminal, vaginal, and ocular microbiota in newborn calves in response to prenatal VTM supplementation. We provided a “holistic” view on the whole-body calf microbiota. Our data was obtained from calves of the same sex and age, and who were immediately separated from dams, and hence provides novel insights on taxonomic composition of initial bacterial microbiota colonization in those anatomical sites examined. Combined, this study provides direction for future work targeting the manipulation of early life microbiome via alteration of maternal nutrition and harnessing early life microbiota for improved cattle health and production.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.284
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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