Mixotrophic protists display contrasted biogeographies in the global ocean
Mixotrophic protists display contrasted biogeographies in the global ocean
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DOI：
10.1038/s41396-018-0340-5
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发表时间：
2019-04-01
期刊：
影响因子：
11
通讯作者：
Ayata, Sakina-Dorothee
中科院分区：
文献类型：
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作者：
Faure, Emile;Not, Fabrice;Ayata, Sakina-Dorothee
混合营养（Mixotrophy）是海洋原生生物中广泛存在的一种生态学特征。使用来自全球海洋的海洋浮游生物的元条形码数据集，鉴定了由89，951，866个序列表示并且属于133个分类谱系的318，054个混合营养元条形码，并且将其分类为四种混合营养功能类型：组成型混合营养体（CM），通用型非组成型混合营养体（GNCM），内共生专业型非组成型混合营养体（eSNCM），和质体专家非组成型混合营养体（pSNCM）。混合营养似乎无处不在，和四个混合型的分布进行了分析，以确定非生物因素塑造他们的地理。与以前的形态学研究相比，在新的区域中检测到Kleptoplastidic mixotrophs（GNCM和pSNCM）。组成型和非组成型混合营养体的分布范围相似。大多数谱系均匀地发现在样本中，但其中一些显示出强烈的对比分布，跨和混合型内。特别是不同的pheographies内共生mixotrophs发现，根据能力形成殖民地或共生模式。我们展示了如何元编码可以用在一个互补的方式与以前的形态学观察，研究mixotrophic原生生物，并确定他们的speechography的关键驱动程序。
Mixotrophy, or the ability to acquire carbon from both auto-and heterotrophy, is a widespread ecological trait in marine protists. Using a metabarcoding dataset of marine plankton from the global ocean, 318,054 mixotrophic metabarcodes represented by 89,951,866 sequences and belonging to 133 taxonomic lineages were identified and classified into four mixotrophic functional types: constitutive mixotrophs (CM), generalist non-constitutive mixotrophs (GNCM), endo-symbiotic specialist non-constitutive mixotrophs (eSNCM), and plastidic specialist non-constitutive mixotrophs (pSNCM). Mixotrophy appeared ubiquitous, and the distributions of the four mixotypes were analyzed to identify the abiotic factors shaping their biogeographies. Kleptoplastidic mixotrophs (GNCM and pSNCM) were detected in new zones compared to previous morphological studies. Constitutive and non-constitutive mixotrophs had similar ranges of distributions. Most lineages were evenly found in the samples, yet some of them displayed strongly contrasted distributions, both across and within mixotypes. Particularly divergent biogeographies were found within endo-symbiotic mixotrophs, depending on the ability to form colonies or the mode of symbiosis. We showed how metabarcoding can be used in a complementary way with previous morphological observations to study the biogeography of mixotrophic protists and to identify key drivers of their biogeography.