Abstract

Simple SummaryThe gastrointestinal microbial ecosystem of cattle impacts their health and productivity. Collection of fecal samples provides a non-invasive and practicable way to explore the relationships between fecal microbiota and host productivity or health. Fecal bacteria are influenced by diet, feeding regime, animal age, and health status. However, dynamic variations in the fecal fermentation profile and microbiota composition of finishing steers in response to variable diets are limited. In the current study, we conducted an 11-month tracking investigation to uncover the dynamic variations in fecal fermentation profile and bacterial community in steers fed three stepwise density diets. We found that fecal bacterial diversity decreased as dietary density increased and as the fattening phase continued. Our results revealed that fecal organic acids and bacterial composition were influenced by diet and fattening period. Our results also indicated that time-dependent variations of fecal fermentation profile and microbiota composition exist in the long-term fattening of steers in addition to diet stimulation. This study will be beneficial to reducing fecal contamination from the origin by optimizing diet and fattening time.The objective of this study was to track the dynamic variations in fecal bacterial composition and fermentation profile of finishing steers in response to three stepwise diets varied in energy and protein density. A total of 18 Holstein steers were divided into three groups in such a way that each group contained six animals and received one of three stepwise dietary treatments. Dietary treatments were C = standard energy and protein diet, H = high energy and protein diet, and L = low energy and protein diet. Animals were fattened for 11 months with a three-phase fattening strategy. Fecal samples were collected to evaluate the dynamics of fecal fermentation and bacterial composition in response to dietary treatments and fattening phases using 16S rRNA gene sequencing. Fecal acetate, propionate, and butyrate increased with increasing density of diet and as the fattening phase continued. The relative abundances of Firmicutes and Bacteroidetes dominated and showed 56.19% and 33.58%, respectively. Higher dietary density decreased the fecal bacterial diversity, Firmicutes to Bacteroidetes ratio, and the relative abundances of Ruminococcaceae_UCG-005, Rikenellaceae_RC9_gut_group, and Bacteroides, whereas higher dietary density increased the abundance of Prevotella_9. Our results indicated that both fecal fermentation profile and bacterial composition share a time-dependent variation in response to different dietary densities. This knowledge highlights that both diet and fattening phase impact fecal fermentation profile and bacterial composition, and may provide insight into strategies to reduce fecal contamination from the origin by optimizing diet and fattening time.

Highlights

  • In ruminants, the hindgut is regarded as a fermentation site with less buffering capacity when compared to the rumen [1]

  • Our results indicated that both fecal fermentation profile and bacterial composition share a time-dependent variation in response to different dietary densities

  • operational taxonomic units (OTUs) across all samples were rarefied to the lowest sample depth (58,890 reads) based on the pseudo-random number generator of quantitative insights into microbial ecology (QIIME)

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Summary

Introduction

The hindgut is regarded as a fermentation site with less buffering capacity when compared to the rumen [1]. The hindgut has similar rates of fermenting carbohydrates into volatile fatty acids (VFA) as the rumen, and it responds in parallel to the rumen to various substrates regarding the profiles of VFA [1,2]. Sampling contents from the hindgut generally requires invasive operation or sacrificing of animals [3]. Doelman et al (2019) reported that the concentration of isobutyric acid in feces could be indirect marker of fermentative characteristics for the hindgut. Some studies have recommended the collection of fecal samples as an alternative means to explore the relationship between the hindgut microbiota and host productivity [4,5].

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