Cell and Molecular Biology Program, University of Arkansas, Fayetteville.
Center for Food Safety and Department of Food Science, University of Arkansas, Fayetteville.
Poult Sci. 2017 Jun 1;96(6):1820-1830. doi: 10.3382/ps/pew441.
When prebiotics and other fermentation substrates are delivered to animals as feed supplements, the typical goal is to improve weight gain and feed conversion. In this work, we examined pasture flock chicken cecal contents using next generation sequencing (NGS) to identify and understand the composition of the microbiome when prebiotics and fermentation substrates were supplemented. We generated 16S rRNA sequencing data for 120 separate cecal samples from groups of chickens receiving one of 3 prebiotics or fiber feed additives. The data indicated that respective feed additives enrich for specific bacterial community members and modulate the diversity of the microbiome. We applied synthetic learning in microbial ecology (SLiME) analysis to interpret 16S rRNA microbial community data and identify specific bacterial operational taxonomic units (OTU) that are predictive of the particular feed additives used in these experiments. The results suggest that feed can influence microbiome composition in a predictable way, and thus diet may have indirect effects on weight gain and feed conversion through the microbiome.
当将益生元和其他发酵底物作为饲料添加剂提供给动物时,典型的目标是改善体重增加和饲料转化率。在这项工作中,我们使用下一代测序(NGS)检查了牧场鸡盲肠内容物,以鉴定和了解益生元和发酵底物补充时微生物组的组成。我们从接受三种益生元或纤维饲料添加剂之一的鸡群中生成了 120 个单独盲肠样本的 16S rRNA 测序数据。数据表明,各自的饲料添加剂富集了特定的细菌群落成员,并调节了微生物组的多样性。我们应用微生物生态学中的合成学习(SLiME)分析来解释 16S rRNA 微生物群落数据,并确定特定的细菌操作分类单元(OTU),这些单元可预测这些实验中使用的特定饲料添加剂。结果表明,饲料可以以可预测的方式影响微生物组的组成,因此饮食可能通过微生物组对体重增加和饲料转化率产生间接影响。