Park Tansol, Ma Lu, Ma Ying, Zhou Xiaoqiao, Bu Dengpan, Yu Zhongtang
Department of Animal Sciences, The Ohio State University, Columbus, OH USA.
The State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, P. R. China.
J Anim Sci Biotechnol. 2020 Jun 22;11:66. doi: 10.1186/s40104-020-00461-2. eCollection 2020.
Dietary energy source and level in lactation diets can profoundly affect milk yield and composition. Such dietary effects on lactation performance are underpinned by alteration of the rumen microbiota, of which bacteria, archaea, fungi, and protozoa may vary differently. However, few studies have examined all the four groups of rumen microbes. This study investigated the effect of both the level and source of dietary energy on rumen bacteria, archaea, fungi, and protozoa in the rumen of lactating dairy cows. A 2 × 2 factorial design resulted in four dietary treatments: low and high dietary energy levels (LE: 1.52-1.53; and HE: 1.71-1.72 Mcal/kg dry matter) and two dietary energy sources (GC: finely ground corn; and SFC: steam-flaked corn). We used a replicated 4 × 4 Latin square design using eight primiparous Chinese Holstein cows with each period lasting for 21 d. The rumen microbiota was analyzed using metataxonomics based on kingdom-specific phylogenetic markers [16S rRNA gene for bacteria and archaea, 18S rRNA gene for protozoa, and internally transcribed spacer 1 (ITS1) for fungi] followed with subsequent functional prediction using PICRUSt2.
The GC resulted in a higher prokaryotic (bacterial and archaeal) species richness and Faith's phylogenetic diversity than SFC. For the eukaryotic (fungi and protozoa) microbiota, the LE diets led to significantly higher values of the above measurements than the HE diets. Among the major classified taxa, 23 genera across all the kingdoms differed in relative abundance between the two dietary energy levels, while only six genera (none being protozoal) were differentially abundant between the two energy sources. Based on prokaryotic amplicon sequence variants (ASVs) from all the samples, overall functional profiles predicted using PICRUSt2 differed significantly between LE and HE but not between the two energy sources. FishTaco analysis identified and as the taxa potentially contributing to the enriched KEGG pathways for biosynthesis of amino acids and to the metabolisms of pyruvate, glycerophospholipid, and nicotinate and nicotinamide in the rumen of HE-fed cows. The co-occurrence networks were also affected by the dietary treatments, especially the LE and GC diets, resulting in distinct co-occurrence networks. Several microbial genera appeared to be strongly correlated with one or more lactation traits.
Dietary energy level affected the overall rumen multi-kingdom microbiota while little difference was noted between ground corn and steam-flaked corn. Some genera were also affected differently by the four dietary treatments, including genera that had been shown to be correlated with lactation performance or feed efficiency. The co-occurrence patterns among the genera exclusively found for each dietary treatment may suggest possible metabolic interactions specifically affected by the dietary treatment. Some of the major taxa were positively correlated to milk properties and may potentially serve as biomarkers of one or more lactation traits.
泌乳期日粮中的能量来源和水平会深刻影响产奶量和奶的成分。这种日粮对泌乳性能的影响是由瘤胃微生物群的改变所支撑的,其中细菌、古菌、真菌和原生动物可能会有不同程度的变化。然而,很少有研究对瘤胃微生物的所有这四类进行检测。本研究调查了日粮能量水平和来源对泌乳奶牛瘤胃中的细菌、古菌、真菌和原生动物的影响。采用2×2析因设计得出四种日粮处理:低和高日粮能量水平(低能量:1.52 - 1.53;高能量:1.71 - 1.72 兆卡/千克干物质)以及两种日粮能量来源(细磨玉米;蒸汽压片玉米)。我们使用重复的4×4拉丁方设计,选用八头初产中国荷斯坦奶牛,每个阶段持续21天。基于特定类群的系统发育标记(细菌和古菌的16S rRNA基因、原生动物的18S rRNA基因以及真菌的内转录间隔区1(ITS1)),利用宏分类学分析瘤胃微生物群,随后使用PICRUSt2进行功能预测。
与蒸汽压片玉米相比,细磨玉米使原核生物(细菌和古菌)的物种丰富度和费思系统发育多样性更高。对于真核生物(真菌和原生动物)微生物群,低能量日粮组的上述测量值显著高于高能量日粮组。在所有主要分类类群中,两个日粮能量水平之间,所有界别的23个属的相对丰度存在差异,而两个能量来源之间只有六个属(无原生动物属)的丰度存在差异。基于所有样本的原核生物扩增子序列变体(ASV),使用PICRUSt2预测的总体功能谱在低能量和高能量组之间存在显著差异,但在两个能量来源之间无显著差异。FishTaco分析确定了 和 为可能导致高能量日粮组奶牛瘤胃中氨基酸生物合成以及丙酮酸、甘油磷脂和烟酸及烟酰胺代谢的KEGG途径富集的类群。共现网络也受到日粮处理的影响,尤其是低能量和细磨玉米日粮,导致形成不同的共现网络。几个微生物属似乎与一种或多种泌乳性状密切相关。
日粮能量水平影响瘤胃整体多界微生物群,而细磨玉米和蒸汽压片玉米之间差异不大。四种日粮处理对一些属的影响也不同,包括那些已被证明与泌乳性能或饲料效率相关的属。每种日粮处理特有的属之间的共现模式可能表明受日粮处理特异性影响的潜在代谢相互作用。一些主要类群与奶的特性呈正相关,可能作为一种或多种泌乳性状的生物标志物。