McGovern Emily, Waters Sinéad M, Blackshields Gordon, McCabe Matthew S
Animal and Bioscience Research Department, Animal and Grassland Research and Innovation Centre, Teagasc, Carlow, Ireland.
UCD College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland.
Front Microbiol. 2018 Jun 25;9:1365. doi: 10.3389/fmicb.2018.01365. eCollection 2018.
The rumen microbiome scientific community has utilized amplicon sequencing as an aid in identifying potential community compositional trends that could be used as an estimation of various production and performance traits including methane emission, animal protein production efficiency, and ruminant health status. In order to translate rumen microbiome studies into executable application, there is a need for experimental and analytical concordance within the community. The objective of this study was to assess these factors in relation to selected currently established methods for 16S phylogenetic community analysis on a microbial community standard (MC) and a DNA standard (DS; ZymoBIOMICS). DNA was extracted from MC using the RBBC method commonly used for microbial DNA extraction from rumen digesta samples. 16S rRNA amplicon libraries were generated for the MC and DS using primers routinely used for rumen bacterial and archaeal community analysis. The primers targeted the V4 and V3-V4 region of the 16S rRNA gene and samples were subjected to both 20 and 28 polymerase chain reaction (PCR) cycles under identical cycle conditions. Sequencing was conducted using the Illumina MiSeq platform. As the bacteria contained in the microbial mock community were well-classified species, and for ease of explanation, we used the results of the Basic Local Alignment Search Tool classification to assess the DNA, PCR cycle number, and primer type. Sequence classification methodology was assessed independently. Spearman's correlation analysis indicated that utilizing the repeated bead beating and column method for DNA extraction in combination with primers targeting the 16S rRNA gene using 20 first-round PCR cycles was sufficient for amplicon sequencing to generate a relatively accurate depiction of the bacterial communities present in rumen samples. These results also emphasize the requirement to develop and utilize positive mock community controls for all rumen microbiomic studies in order to discern errors which may arise at any step during a next-generation sequencing protocol.
瘤胃微生物群落科学界已利用扩增子测序来辅助识别潜在的群落组成趋势,这些趋势可用于估计各种生产和性能特征,包括甲烷排放、动物蛋白生产效率和反刍动物健康状况。为了将瘤胃微生物群落研究转化为可执行的应用,该领域需要实验和分析的一致性。本研究的目的是评估与目前选定的用于微生物群落标准(MC)和DNA标准(DS;ZymoBIOMICS)的16S系统发育群落分析方法相关的这些因素。使用通常用于从瘤胃消化物样本中提取微生物DNA的RBBC方法从MC中提取DNA。使用常规用于瘤胃细菌和古菌群落分析的引物为MC和DS生成16S rRNA扩增子文库。引物靶向16S rRNA基因的V4和V3-V4区域,样本在相同的循环条件下进行20个和28个聚合酶链反应(PCR)循环。使用Illumina MiSeq平台进行测序。由于微生物模拟群落中包含的细菌是分类明确的物种,为便于解释,我们使用基本局部比对搜索工具分类的结果来评估DNA、PCR循环数和引物类型。序列分类方法是独立评估的。Spearman相关性分析表明,使用重复珠磨和柱法提取DNA,结合靶向16S rRNA基因的引物,进行20个第一轮PCR循环,足以进行扩增子测序,以相对准确地描绘瘤胃样本中存在的细菌群落。这些结果还强调了为所有瘤胃微生物组研究开发和利用阳性模拟群落对照的必要性,以便识别在下一代测序方案的任何步骤中可能出现的错误。