Department of Bacteriology, 6145 Microbial Sciences Building, 1550 Linden Dr, University of Wisconsin-Madison, Madison, WI 53706, United States.
J Microbiol Methods. 2013 Nov;95(2):149-55. doi: 10.1016/j.mimet.2013.08.007. Epub 2013 Aug 19.
Chloroplast sequence contamination in 16S ribosomal RNA gene (16S) analyses can be particularly problematic when sampling microbial communities in plants and folivorous arthropods. We previously encountered high levels of plastid contamination in herbivorous insect samples when we used the predominant 454 pyrosequencing 16S methodologies described in the literature. 799F, a primer previously found to exclude chloroplast sequences, was modified to enhance its efficacy, and we describe, in detail, our methodology throughout amplicon pyrosequencing. Thirteen versions of 799F were assessed for the exclusion of chloroplast sequences from our samples. We found that a shift in the mismatch between 799F and chloroplast 16S resulted in significant reduction of chloroplast reads. Our results also indicate that amplifying sequences from environmental samples in a two-step PCR process, with the addition of the multiplex identifiers and 454 adapters in a second round of PCR, further improved primer specificity. Primers that included 3' phosphorothioate bonds, which were designed to block primer degradation, did not amplify consistently across samples. The different forward primers do not appear to bias the bacterial communities detected. We provide a methodological framework for reducing chloroplast reads in high-throughput sequencing data sets that can be applied to a number of environmental samples and sequencing techniques.
叶绿体序列污染在 16S 核糖体 RNA 基因(16S)分析中可能是一个特别棘手的问题,特别是在对植物和食草节肢动物中的微生物群落进行采样时。当我们使用文献中描述的主要的 454 焦磷酸测序 16S 方法时,我们之前在食草昆虫样本中遇到了高水平的质体污染。799F 是一种以前被发现可以排除叶绿体序列的引物,我们对其进行了改进,以增强其功效,并详细描述了我们在整个扩增子焦磷酸测序过程中的方法。我们评估了 799F 的 13 个版本,以排除我们的样本中的叶绿体序列。我们发现,799F 与叶绿体 16S 之间的不匹配发生变化,导致叶绿体读数显著减少。我们的结果还表明,通过两步 PCR 过程从环境样本中扩增序列,并在第二轮 PCR 中添加多重标识符和 454 接头,进一步提高了引物的特异性。包含 3'硫代磷酸酯键的引物旨在阻止引物降解,但在不同的样本中并没有一致地扩增。不同的正向引物似乎不会影响检测到的细菌群落。我们提供了一种减少高通量测序数据集中心叶体读数的方法框架,该框架可应用于许多环境样本和测序技术。