Rumen Microbial Population Dynamics during Adaptation to a High-Grain Diet

High-grain adaptation programs are widely used with feedlot cattle to balance enhanced growth performance against the risk of acidosis. This adaptation to a high-grain diet from a high-forage diet is known to change the rumen microbial population structure and help establish a stable microbial population within the rumen. Therefore, to evaluate bacterial population dynamics during adaptation to a high-grain diet, 4 ruminally cannulated beef steers were adapted to a high-grain diet using a step-up diet regimen containing grain and hay at ratios of 20:80, 40:60, 60:40, and 80:20. The rumen bacterial populations were evaluated at each stage of the step-up diet after 1 week of adaptation, before the steers were transitioned to the next stage of the diet, using terminal restriction fragment length polymorphism (T-RFLP) analysis, 16S rRNA gene libraries, and quantitative real-time PCR. The T-RFLP analysis displayed a shift in the rumen microbial population structure during the final two stages of the step-up diet. The 16S rRNA gene libraries demonstrated two distinct rumen microbial populations in hay-fed and high-grain-fed animals and detected only 24 common operational taxonomic units out of 398 and 315, respectively. The 16S rRNA gene libraries of hay-fed animals contained a significantly higher number of bacteria belonging to the phylum Fibrobacteres, whereas the 16S rRNA gene libraries of grain-fed animals contained a significantly higher number of bacteria belonging to the phylum Bacteroidetes. Real-time PCR analysis detected significant fold increases in the Megasphaera elsdenii, Streptococcus bovis, Selenomonas ruminantium, and Prevotella bryantii populations during adaptation to the high-concentrate (high-grain) diet, whereas the Butyrivibrio fibrisolvens and Fibrobacter succinogenes populations gradually decreased as the animals were adapted to the high-concentrate diet. This study evaluates the rumen microbial population using several molecular approaches and presents a broader picture of the rumen microbial population structure during adaptation to a high-grain diet from a forage diet.The rumen is a complex microbial ecosystem that is composed of an immense variety of bacteria, protozoa, fungi, and viruses (5). Among these microorganisms, bacteria are the most investigated population and have a significant effect on the animal''s performance. However, our understanding of how rumen bacteria change and adapt to different ruminal environments is in its infancy.In the feedlot cattle industry, when animals on a forage diet are directly put on a high-grain diet, a decrease in ruminal pH due to lactate production has been observed (23, 31, 42), which leads to the possibility of digestive disorders, which can cause a decrease in the animal''s performance (23, 45). Therefore, feeding programs have been implemented to adapt feedlot cattle from a high-forage diet to a high-concentrate diet by gradually increasing the concentration of grain in the diet and decreasing the fiber content (2, 35). During this adaptation to high-grain diets, significant changes in the ruminal environment and rumen bacterial population structure have been reported (17, 46, 48). However, the microbial changes that occur during this transition phase are poorly understood (17, 21, 26, 46). Studies performed to date have utilized culture-based techniques or have looked at the fluctuation of a few indicator bacteria (48, 47) to evaluate bacterial population changes. Due to limitations in culturing rumen bacteria, the use of culture-based techniques to evaluate bacterial populations substantially underestimates the diversity of microorganisms within the rumen. In this study, we have utilized culture-independent approaches to evaluate bacterial population structure and diversity using terminal restriction fragment length polymorphisms (T-RFLPs) and sequence analysis of 16S rRNA gene libraries to compare the rumen bacterial population structure in animals on prairie hay against that in animals adapting to a high-concentrate (high-grain) diet. We have also quantified the fluctuations in the populations of previously reported indicator bacterial species using quantitative real-time PCR (qRT-PCR) to assess the role of these organisms during adaptation to a high-concentrate diet.