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解析水生沉积物档案中过去和现存细菌群落的分子信号。

Deciphering the molecular signal from past and alive bacterial communities in aquatic sedimentary archives.

机构信息

Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand.

University of Victoria, Wellington, New Zealand.

出版信息

Mol Ecol Resour. 2022 Apr;22(3):877-890. doi: 10.1111/1755-0998.13515. Epub 2021 Oct 6.

DOI:10.1111/1755-0998.13515
PMID:34562066
Abstract

Lake sediments accumulate information on biological communities thus acting as natural archives. Traditionally paleolimnology has focussed on fossilized remains of organisms, however, many organisms do not leave fossil evidence, meaning major ecosystem components are missing from environmental reconstructions. Many paleolimnology studies now incorporate molecular methods, including investigating microbial communities using environmental DNA (eDNA), but there is uncertainty about the contribution of living organisms to molecular inventories. In the present study, we obtained DNA and RNA inventories from sediment spanning 700 years to investigate the contribution of past and active communities to the molecular signal from sedimentary archives. Additionally, a droplet digital PCR (ddPCR) targeting the 16S ribosomal RNA (16S rRNA) gene of the photosynthetic cyanobacterial genera Microcystis was used to explore if RNA signals were from legacy RNA. We posit that the RNA signal is a mixture of legacy RNA, dormant cells, living bacteria and modern-day trace level contaminants that were introduced during sampling and preferentially amplified. The presence of legacy RNA was confirmed by the detection of Microcystis in sediments aged to ~200 years ago. Recent comparisons between 16S rRNA gene metabarcoding and traditional paleo proxies showed that past changes in bacterial communities can be reconstructed from sedimentary archives. The recovery of RNA in the present study has provided new insights into the origin of these signals. However, caution is required during analysis and interpretation of 16S rRNA gene metabarcoding data especially in recent sediments were there are potentially active bacteria.

摘要

湖泊沉积物积累了有关生物群落的信息,因此起到了自然档案的作用。传统的古湖沼学主要关注生物体的化石遗骸,然而,许多生物体没有留下化石证据,这意味着环境重建中缺少了主要的生态系统组成部分。许多古湖沼学研究现在都结合了分子方法,包括使用环境 DNA (eDNA) 研究微生物群落,但对于生物体对分子目录的贡献存在不确定性。在本研究中,我们从跨越 700 年的沉积物中获得了 DNA 和 RNA 目录,以调查过去和活跃的群落对沉积档案分子信号的贡献。此外,使用针对蓝藻属微囊藻的 16S 核糖体 RNA (16S rRNA) 基因的滴式数字 PCR (ddPCR) 来探索 RNA 信号是否来自遗留 RNA。我们假设 RNA 信号是遗留 RNA、休眠细胞、活细菌和现代痕量污染物的混合物,这些物质是在采样过程中引入并优先扩增的。通过在年龄约为 200 年前的沉积物中检测到微囊藻,证实了遗留 RNA 的存在。最近对 16S rRNA 基因宏条形码与传统古代指标的比较表明,可以从沉积档案中重建细菌群落的过去变化。本研究中 RNA 的回收为这些信号的起源提供了新的见解。然而,在分析和解释 16S rRNA 基因宏条形码数据时需要谨慎,特别是在存在潜在活性细菌的近期沉积物中。

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