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<!doctype html><html class=no-js lang=en><head><meta charset=utf-8><meta http-equiv=x-ua-compatible content="ie=edge"><meta name=viewport content="width=device-width,initial-scale=1"><title>Metagenomic analysis of rumen populations in week-old calves as altered by maternal late gestational nutrition and mode of delivery - MillironX</title><link href="https://millironx.com/css/bundle.min.d68b6135772e7077b2931ddcfac9fc4cdb0643d18a59b24d9311ef9e5196126a.css" rel=stylesheet></head><body><div class=container-fluid><div class="row wrapper min-vh-100 flex-column flex-sm-row"><aside class="col-12 col-md-3 p-0 bg-dark flex-shrink-1"><nav class="navbar navbar-expand-md navbar-dark bg-dark align-items-start flex-md-column flex-row"><div class=container-fluid><a class="navbar-brand d-block d-md-none" href=#><object class="d-inline-block align-text-top" width=80 height=24 style=filter:invert(100%) data=https://millironx.com/graphics/millironx.svg>
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  Milliron X</h1></header></div><section class="container-fluid list-main"><div class="container px-5"><h5>Westion Section American Society of Animal Science Annual Meeting: Boise, Idaho</h5><h2>Metagenomic analysis of rumen populations in week-old calves as altered by maternal late gestational nutrition and mode of delivery</h2><h3><small><ul class=list-inline><li class=list-inline-item>Thomas A. Christensen II</li><li class=list-inline-item>Kathy J. Austin</li><li class=list-inline-item>Kristi M. Cammack</li><li class=list-inline-item>Hannah C. Cunningham-Hollinger</li></ul></small></h3><h4>June 12, 2019</h4><p>Early colonization of the rumen microbiome is critical to host health and long
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term performance. Factors that influence early colonization include maternal
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factors such as gestational nutrition and mode of delivery. Therefore, we
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hypothesized that late gestational nutrition and mode of delivery would
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influence the calf rumen microbiome. Our objectives were to determine if
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nutrient restriction during late gestation alters the calf rumen microbiome and
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determine if ruminal microbiome composition differs in calves born vaginally
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versus caesarean. Late gestating Angus cows were randomly allocated to one of
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three treatment groups: control (<strong>CON</strong>; n = 6), caesarean section (<strong>CS</strong>; n =
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4), and nutrient restricted (<strong>NR</strong>; n = 5), where CON were fed DDGS and hay to
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meet NRC requirements and calved naturally; CS were fed similarly to CON and
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calves were born via caesarean section; and NR were fed at a level to reduce BCS
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by 1.5-2.0 points over the last trimester compared to CON and calved naturally.
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Rumen fluid was collected via oral lavage prior to partition from cows and at d
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7 from calves. Microbial DNA was isolated from the rumen fluid and metagenomic
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shotgun sequencing was performed using the Illumina HiSeq 2500 platform.
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Sequence data were analyzed using Metaxa2 for taxonomic assignment followed by
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QIIME1 and QIIME2 to determine differential abundance and alpha- and
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beta-diversity differences. There were no significant differences in
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alpha-diversity as measured by shannon index across treatment groups for cows
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(<em>P</em> = 0.239), but there were significant differences for calves (<em>P</em> = 0.015).
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Similarly, there were no significant differences in beta-diversity as measured
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by the bray-curtis dissimilarity matrix for cows (<em>P</em> = 0.059), but there were
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significant differences for calves (<em>P</em> = 0.007). Alpha-diversity differed (<em>P</em>
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< 0.001) between cows and calves, with cows having increased species richness
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compared to calves. Beta-diversity also differed (<em>P</em> = 0.001) between cows and
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calves. At total of 410 taxa were differentially abundant (<em>P</em> < 0.01) between
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cows and calves. These results suggest that the mature rumen microbiome of cows
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is able to withstand changes in feed intake, however the calf microbiome is
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susceptible to alteration by maternal factors. These data also suggest that
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there may be opportunities to develop management strategies during late
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gestation that influence calf health and performance long-term.</p><div class="card border-dark m-3 p-3"><a href=/academia/metagenomics/metagenomics_analysis_of_rumen_populations.pdf>/academia/metagenomics/metagenomics_analysis_of_rumen_populations.pdf</a>
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