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时间序列对于理解微生物浮游生物的多样性和生态学至关重要。

Time series are critical to understand microbial plankton diversity and ecology.

机构信息

Ecologie Systématique Evolution, CNRS, Université Paris-Sud, Université Paris-Saclay, AgroParisTech, Orsay, France.

出版信息

Mol Ecol. 2019 Mar;28(5):920-922. doi: 10.1111/mec.15015.

Abstract

How diverse are marine planktonic protist communities? How much seasonality do they exhibit? For a very long time, these two old and challenging questions in the field of plankton ecology could be addressed only for large-size protist species, based on cell counting under the microscope. The recent application of molecular techniques, notably massive marker-gene amplicon sequencing approaches (metabarcoding), has allowed investigating with unprecedented level of resolution the small-sized (<20 µm) planktonic eukaryotes too. An amazing diversity of these tiny organisms has been unveiled but details about their temporal dynamics remain much more elusive. In a From the Cover article in this issue of Molecular Ecology, Giner et al. (2019) introduce a new Recurrence Index (RI) to specifically look for seasonality in time-series metabarcoding data. They inspected the temporal dynamics of all operational taxonomic units (OTUs) in a rich sequence data set of pico- and nanoplanktonic eukaryotes in samples collected monthly during 10 years. Although most OTUs did not show seasonality, some abundant ones did, which explains why some averaging methods can find seasonality at the less detailed level of whole planktonic communities. Not surprisingly, the very complex small-sized eukaryotic plankton communities are composed of organisms with miscellaneous temporal dynamics.

摘要

海洋浮游原生生物群落的多样性如何?它们表现出多少季节性?长期以来,基于显微镜下的细胞计数,这两个在浮游生物生态学领域的古老而具有挑战性的问题只能针对大型原生生物物种来解决。最近,分子技术的应用,特别是大规模标记基因扩增子测序方法(宏条形码),使得对小型(<20 µm)浮游真核生物进行前所未有的分辨率研究成为可能。这些微小生物的惊人多样性已经被揭示出来,但它们的时间动态细节仍然更加难以捉摸。在本期《分子生态学》的一篇封面文章中,Giner 等人(2019 年)引入了一个新的重现指数(RI),专门用于在时间序列宏条形码数据中寻找季节性。他们检查了在 10 年期间每月采集的富含微微和纳米浮游真核生物的丰富序列数据集中所有操作分类单位(OTU)的时间动态。尽管大多数 OTU 没有表现出季节性,但一些丰富的 OTU 确实表现出季节性,这解释了为什么一些平均方法可以在整个浮游生物群落的细节水平上发现季节性。毫不奇怪,非常复杂的小型真核浮游生物群落由具有各种时间动态的生物组成。

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