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来自含氧分层淡水湖泊和池塘的鸟枪法宏基因组综合数据集。

Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds.

机构信息

Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden.

Department of Ecology, Environment and Plant Sciences, Science for Life Laboratory, Stockholm University, Stockholm, Sweden.

出版信息

Sci Data. 2021 May 14;8(1):131. doi: 10.1038/s41597-021-00910-1.

Abstract

Stratified lakes and ponds featuring steep oxygen gradients are significant net sources of greenhouse gases and hotspots in the carbon cycle. Despite their significant biogeochemical roles, the microbial communities, especially in the oxygen depleted compartments, are poorly known. Here, we present a comprehensive dataset including 267 shotgun metagenomes from 41 stratified lakes and ponds mainly located in the boreal and subarctic regions, but also including one tropical reservoir and one temperate lake. For most lakes and ponds, the data includes a vertical sample set spanning from the oxic surface to the anoxic bottom layer. The majority of the samples were collected during the open water period, but also a total of 29 samples were collected from under the ice. In addition to the metagenomic sequences, the dataset includes environmental variables for the samples, such as oxygen, nutrient and organic carbon concentrations. The dataset is ideal for further exploring the microbial taxonomic and functional diversity in freshwater environments and potential climate change impacts on the functioning of these ecosystems.

摘要

分层湖泊和池塘具有陡峭的氧气梯度,是温室气体的重要净源,也是碳循环中的热点。尽管它们具有重要的生物地球化学作用,但微生物群落,特别是在缺氧区,仍然知之甚少。在这里,我们提供了一个综合数据集,其中包括 41 个分层湖泊和池塘的 267 个 shotgun 宏基因组,这些湖泊和池塘主要位于北方和亚北极地区,但也包括一个热带水库和一个温带湖泊。对于大多数湖泊和池塘,该数据集包括从有氧表面到缺氧底部的垂直样本集。大多数样本是在开阔水域期间采集的,但总共也从冰下采集了 29 个样本。除了宏基因组序列外,该数据集还包括样本的环境变量,如氧气、营养物质和有机碳浓度。该数据集非常适合进一步探索淡水环境中的微生物分类和功能多样性,以及气候变化对这些生态系统功能的潜在影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c43e/8121793/005b87d55386/41597_2021_910_Fig1_HTML.jpg

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