Correlating the oral swab microbial community with milk production metrics in Holstein dairy cows.

IF 3.7 2区 生物学 Q2 MICROBIOLOGY
mSphere Pub Date : 2025-06-25 Epub Date: 2025-05-14 DOI:10.1128/msphere.00167-25
Joseph H Skarlupka, Madison S Cox, Andrew J Steinberger, Dino L Sbardellati, Andrew J Scheftgen, Ibrahim Zuniga-Chaves, Eric Paget, Charles Skadron, Nithya Attipetty, Jennifer C McClure, Derek M Bickhart, Garret Suen
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引用次数: 0

Abstract

Oral swabs of dairy cows have been suggested as a proxy for direct ruminal sampling, and this approach can identify the presence of up to 70% of the rumen microbial community. Here, we further extend the utility of this approach by correlating the bacterial community of swabs collected from 226 dairy cows on a research farm in Wisconsin, USA, with average milk yield and days in milk, two phenotypes previously associated with differences in the ruminal microbiome. We then obtained milk production efficiency data for a subset of these animals (gross feed efficiency [GFE] and residual feed intake [RFI]) and correlated these metrics against their associated microbial data. We found that when using the oral swabs, we could identify correlations between bacterial genera and days in milk (P < 0.05). We further show that the ruminal microbiota was associated with average milk yield and days in milk for animals in their first lactation. Differential abundance testing identified amplicon sequence variants (ASVs) associated with these metrics (P < 0.05). Our comparison of bacterial communities between high and low efficiency groups, as determined by GFE and RFI, identified a significant difference in Shannon's diversity in second lactation cows (P < 0.05). We also found that RFI was significantly correlated with the bacterial community in second lactation animals (P < 0.05). Differential abundance analysis identified multiple oral- and rumen-associated ASVs correlated with GFE and RFI (P < 0.05). This study further establishes the utility of oral swabs as a ruminal proxy.IMPORTANCEImproving milk production efficiency is a key goal in the dairy industry and is traditionally pursued through genetic selection, diet optimization, and herd management practices. The ruminal microbiome, essential for digesting feed, has been linked to milk production efficiency, suggesting that microbiome modulation could improve efficiency. However, the integration of rumen microbiology into current management practices is hampered by the difficulty of large-scale rumen sampling, as proxies like fecal samples do not accurately reflect the ruminal microbiota. Traditional methods, like cannulation and stomach tubing, are labor-intensive and impractical for extensive sampling. Our research demonstrates the potential use of oral swabs as a scalable, effective method for characterizing the microbiome and its associations with milk production metrics, recapitulating established associations obtained through traditional ruminal sampling methods.

荷斯坦奶牛口腔拭子微生物群落与产奶量指标的关系
奶牛的口腔拭子已被建议作为直接瘤胃采样的代理,这种方法可以识别高达70%的瘤胃微生物群落的存在。在这里,我们进一步扩展了该方法的实用性,通过将从美国威斯康星州的一个研究农场收集的226头奶牛的拭子细菌群落与平均产奶量和泌乳天数相关联,这两种表型先前与瘤胃微生物组的差异相关。然后,我们获得了其中一部分动物的产奶效率数据(总饲料效率[GFE]和剩余采食量[RFI]),并将这些指标与其相关的微生物数据进行了关联。我们发现,当使用口腔拭子时,我们可以识别出牛奶中细菌属与天数之间的相关性(P < 0.05)。我们进一步表明,动物首次泌乳时,瘤胃微生物群与平均产奶量和泌乳天数有关。差异丰度测试鉴定出与这些指标相关的扩增子序列变异(asv) (P < 0.05)。我们通过GFE和RFI对高效组和低效组细菌群落进行比较,发现第二泌乳奶牛香农菌多样性差异显著(P < 0.05)。我们还发现,二次泌乳动物RFI与细菌群落显著相关(P < 0.05)。差异丰度分析发现多种口腔和瘤胃相关asv与GFE和RFI相关(P < 0.05)。本研究进一步确立了口腔拭子作为瘤胃替代物的效用。提高牛奶生产效率是乳制品行业的一个关键目标,传统上通过遗传选择、日粮优化和畜群管理实践来追求。瘤胃微生物组是消化饲料所必需的,与牛奶生产效率有关,这表明微生物组调节可以提高效率。然而,将瘤胃微生物学整合到当前的管理实践中受到大规模瘤胃采样困难的阻碍,因为粪便样本等代用物不能准确反映瘤胃微生物群。传统的方法,如插管和胃管,是劳动密集型的,而且不适合广泛的采样。我们的研究证明了口腔拭子作为一种可扩展的、有效的方法来表征微生物组及其与产奶量指标的关联,概括了通过传统的瘤胃采样方法获得的已建立的关联。
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来源期刊
mSphere
mSphere Immunology and Microbiology-Microbiology
CiteScore
8.50
自引率
2.10%
发文量
192
审稿时长
11 weeks
期刊介绍: mSphere™ is a multi-disciplinary open-access journal that will focus on rapid publication of fundamental contributions to our understanding of microbiology. Its scope will reflect the immense range of fields within the microbial sciences, creating new opportunities for researchers to share findings that are transforming our understanding of human health and disease, ecosystems, neuroscience, agriculture, energy production, climate change, evolution, biogeochemical cycling, and food and drug production. Submissions will be encouraged of all high-quality work that makes fundamental contributions to our understanding of microbiology. mSphere™ will provide streamlined decisions, while carrying on ASM''s tradition for rigorous peer review.
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