Diversity, community structure, and quantity of eukaryotic phytoplankton revealed using 18S rRNA and plastid 16S rRNA genes and pigment markers: a case study of the Pearl River Estuary.
Diversity, community structure, and quantity of eukaryotic phytoplankton revealed using 18S rRNA and plastid 16S rRNA genes and pigment markers: a case study of the Pearl River Estuary.
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DOI：
10.1007/s42995-023-00186-x
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发表时间：
2023-08
影响因子：
5.7
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中科院分区：
文献类型：
--
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了解浮游植物多样性和数量特征的一致性和差异对于更好地模拟生态系统变化至关重要。本研究利用核18S rRNA和质体16S或23S rRNA基因以及色素分析对南海珠江口的真核浮游植物进行了调查。研究发现 18S 丰度很难解释总叶绿素 a (Chl-a) 的变化。然而，主要浮游植物类群中对数转换的18S丰度与叶绿素a的比率通常依赖于环境，表明该比率有潜力作为浮游植物生理状态的指标。基于 18S 的操作分类单元的丰富度与整个浮游植物群落基于 16S 的扩增子序列变体的丰富度呈正相关，但对于单个浮游植物群而言不显着或较弱。总体而言，基于 18S 的群落结构（而不是基于 16S 的群落结构）与基于色素的估计具有更大的相似性。相对于色素数据，18S数据集中的触生植物以及16S数据集中的硅藻和隐植物的比例被低估。这项研究强调，18S 宏条形码往往反映真核浮游植物基于生物量的群落组织。由于每个基因组中质体 16S 的拷贝数低于 18S，因此 16S 的元条形码可能近似于基于细胞丰度的群落组织。以色素为基础的群落的生物量组织的变化对环境变化敏感。综上所述，建议应用多种方法来更准确地描述自然生态系统中浮游植物的多样性和群落组成。在线版本包含可在 10.1007/s42995-023-00186-x 获取的补充材料。
Understanding consistencies and discrepancies in characterizing diversity and quantity of phytoplankton is essential for better modeling ecosystem change. In this study, eukaryotic phytoplankton in the Pearl River Estuary, South China Sea were investigated using nuclear 18S rRNA and plastid 16S or 23S rRNA genes and pigment analysis. It was found that 18S abundance poorly explained the variations in total chlorophyll a (Chl-a). However, the ratios of log-transformed 18S abundance to Chl-a in the major phytoplankton groups were generally environment dependent, suggesting that the ratio has potential as an indicator of the physiological state of phytoplankton. The richness of 18S-based operational taxonomic units was positively correlated with the richness of 16S-based amplicon sequence variants of the whole phytoplankton community, but insignificant or weak for individual phytoplankton groups. Overall, the 18S based, rather than the 16S based, community structure had a greater similarity to pigment-based estimations. Relative to the pigment data, the proportion of haptophytes in the 18S dataset, and diatoms and cryptophytes in the 16S dataset, were underestimated. This study highlights that 18S metabarcoding tends to reflect biomass-based community organization of eukaryotic phytoplankton. Because there were lower copy numbers of plastid 16S than 18S per genome, metabarcoding of 16S probably approximates cell abundance-based community organization. Changes in biomass organization of the pigment-based community were sensitive to environmental changes. Taken together, multiple methodologies are recommended to be applied to more accurately profile the diversity and community composition of phytoplankton in natural ecosystems. The online version contains supplementary material available at 10.1007/s42995-023-00186-x.
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影响因子：
2.1
作者：
Gong, Fahui;Li, Guihao;Dolan, John
通讯作者：
Dolan, John
影响因子：
48
作者：
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通讯作者：
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影响因子：
7.7
作者：
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通讯作者：
Christen, Richard
影响因子：
6.2
作者：
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通讯作者：
RILEY, JP
影响因子：
6.6
作者：
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通讯作者：
Yu, Ren-Cheng