Time-series metagenomics reveals changing protistan ecology of a temperate dimictic lake.

IF 13.8 1区 生物学 Q1 MICROBIOLOGY
Arianna I Krinos, Robert M Bowers, Robin R Rohwer, Katherine D McMahon, Tanja Woyke, Frederik Schulz
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引用次数: 0

Abstract

Background: Protists, single-celled eukaryotic organisms, are critical to food web ecology, contributing to primary productivity and connecting small bacteria and archaea to higher trophic levels. Lake Mendota is a large, eutrophic natural lake that is a Long-Term Ecological Research site and among the world's best-studied freshwater systems. Metagenomic samples have been collected and shotgun sequenced from Lake Mendota for the last 20 years. Here, we analyze this comprehensive time series to infer changes to the structure and function of the protistan community and to hypothesize about their interactions with bacteria.

Results: Based on small subunit rRNA genes extracted from the metagenomes and metagenome-assembled genomes of microeukaryotes, we identify shifts in the eukaryotic phytoplankton community over time, which we predict to be a consequence of reduced zooplankton grazing pressures after the invasion of a invasive predator (the spiny water flea) to the lake. The metagenomic data also reveal the presence of the spiny water flea and the zebra mussel, a second invasive species to Lake Mendota, prior to their visual identification during routine monitoring. Furthermore, we use species co-occurrence and co-abundance analysis to connect the protistan community with bacterial taxa. Correlation analysis suggests that protists and bacteria may interact or respond similarly to environmental conditions. Cryptophytes declined in the second decade of the timeseries, while many alveolate groups (e.g., ciliates and dinoflagellates) and diatoms increased in abundance, changes that have implications for food web efficiency in Lake Mendota.

Conclusions: We demonstrate that metagenomic sequence-based community analysis can complement existing efforts to monitor protists in Lake Mendota based on microscopy-based count surveys. We observed patterns of seasonal abundance in microeukaryotes in Lake Mendota that corroborated expectations from other systems, including high abundance of cryptophytes in winter and diatoms in fall and spring, but with much higher resolution than previous surveys. Our study identified long-term changes in the abundance of eukaryotic microbes and provided context for the known establishment of an invasive species that catalyzes a trophic cascade involving protists. Our findings are important for decoding potential long-term consequences of human interventions, including invasive species introduction. Video Abstract.

时间序列元基因组学揭示了温带二叠纪湖泊不断变化的原生动物生态。
背景:原生生物是一种单细胞真核生物,对食物网生态至关重要,它有助于提高初级生产力,并将小型细菌和古细菌连接到更高的营养级。门多塔湖是一个大型富营养化天然湖泊,是一个长期生态研究基地,也是世界上研究得最好的淡水系统之一。在过去的 20 年中,我们一直在门多塔湖采集元基因组样本并进行测序。在此,我们分析了这一全面的时间序列,以推断原生动物群落结构和功能的变化,并假设它们与细菌之间的相互作用:根据从元基因组和元基因组组装的微真核细胞基因组中提取的小亚基 rRNA 基因,我们发现真核浮游植物群落随着时间的推移发生了变化,我们预测这是湖泊中入侵捕食者(刺水蚤)入侵后浮游动物捕食压力降低的结果。元基因组数据还揭示了刺水蚤和斑马贻贝(门多塔湖的第二种入侵物种)在常规监测中被目测识别之前的存在情况。此外,我们还利用物种共现和共丰度分析将原生动物群落与细菌类群联系起来。相关性分析表明,原生生物和细菌可能会相互作用,或对环境条件做出类似的反应。在时间序列的第二个十年中,隐花植物减少,而许多泡状类群(如纤毛虫和甲藻)和硅藻的丰度增加,这些变化对门多塔湖的食物网效率有影响:结论:我们证明了基于元基因组序列的群落分析可以补充现有的基于显微镜计数调查的门多塔湖原生生物监测工作。我们观察到门多塔湖微真核生物的季节性丰度模式与其他系统的预期相吻合,包括隐花植物在冬季的高丰度以及硅藻在秋季和春季的高丰度,但其分辨率比以前的调查要高得多。我们的研究确定了真核微生物丰度的长期变化,并为已知入侵物种的建立提供了背景资料,该物种催化了涉及原生生物的营养级联。我们的发现对于解码人类干预(包括引入入侵物种)的潜在长期后果非常重要。视频摘要。
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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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