Suppr超能文献

基于经典指纹图谱和下一代测序技术的多样性模式的生态一致性。

Ecological coherence of diversity patterns derived from classical fingerprinting and Next Generation Sequencing techniques.

机构信息

HGF-MPG Group for Deep Sea Ecology and Technology, Max Planck Institute for Marine Microbiology, Bremen, Germany; Jacobs University Bremen GmbH, Bremen, Germany.

出版信息

Environ Microbiol. 2014 Sep;16(9):2672-81. doi: 10.1111/1462-2920.12308. Epub 2013 Nov 14.

Abstract

Changes in richness and bacterial community structure obtained via 454 Massively Parallel Tag Sequencing (MPTS) and Automated Ribosomal Intergenic Analysis (ARISA) were systematically compared to determine whether and how the ecological knowledge obtained from both molecular techniques could be combined. We evaluated community changes over time and depth in marine coastal sands at different levels of taxonomic resolutions, sequence corrections and sequence abundances. Although richness over depth layers or sampling dates greatly varied [∼ 30% and 70-80% new operational taxonomic units (OTU) between two samples with ARISA and MPTS respectively], overall patterns of community variations were similar with both approaches. Alpha-diversity estimated by ARISA-derived OTU was most similar to that obtained from MPTS-derived OTU defined at the order level. Similar patterns of OTU replacement were also found with MPTS at the family level and with 20-25% rare types removed. Using ARISA or MPTS datasets with lower resolution, such as those containing only resident OTU, yielded a similar set of significant contextual variables explaining bacterial community changes. Hence, ARISA as a rapid and low-cost fingerprinting technique represents a valid starting point for more in-depth exploration of community composition when complemented by the detailed taxonomic description offered by MPTS.

摘要

采用 454 焦磷酸测序(MPTS)和自动核糖体基因间隔区分析(ARISA)对丰富度和细菌群落结构的变化进行了系统比较,以确定是否以及如何结合这两种分子技术获得的生态知识。我们评估了在不同分类分辨率、序列校正和序列丰度水平下,海洋沿海砂中随时间和深度的群落变化。尽管深度或采样日期的丰富度变化很大[分别用 ARISA 和 MPTS 两个样本之间约有 30%和 70-80%的新操作分类单元(OTU)],但两种方法的群落变化总体模式相似。由 ARISA 衍生的 OTU 估计的α多样性与由 MPTS 衍生的在目水平定义的 OTU 最相似。用 MPTS 在科水平上和去除 20-25%稀有类型也发现了类似的 OTU 替换模式。使用分辨率较低的 ARISA 或 MPTS 数据集,如仅包含居留 OTU 的数据集,产生了一组类似的重要上下文变量,这些变量可以解释细菌群落的变化。因此,作为一种快速且低成本的指纹技术,ARISA 代表了在 MPTS 提供的详细分类描述的基础上,对群落组成进行更深入探索的有效起点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1233/4262003/792f87716a61/emi0016-2672-f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验