High-frequency sampling unveils biotic and abiotic drivers of rapid phytoplankton morphological changes.

IF 8.1 1区 生物学 Q1 PLANT SCIENCES
New Phytologist Pub Date : 2025-09-04 DOI:10.1111/nph.70534
Pavel Škaloud,Kateřina Tučková,Radka Čablová,Iva Jadrná,Ivana Černajová
{"title":"High-frequency sampling unveils biotic and abiotic drivers of rapid phytoplankton morphological changes.","authors":"Pavel Škaloud,Kateřina Tučková,Radka Čablová,Iva Jadrná,Ivana Černajová","doi":"10.1111/nph.70534","DOIUrl":null,"url":null,"abstract":"Phytoplankton, as primary producers, play a key role in aquatic ecosystems. Their community turnover is shaped by morphological traits that enable adaptation to diverse abiotic and biotic factors. Yet, the temporal scale of these dynamics remains poorly understood due to limited high-frequency sampling studies. Employing DNA metabarcoding, we assessed the community composition of the phytoplankton lineage Synurales (Chrysophyceae) at 3-d intervals during 70 d at a shallow peat bog lake in the Czech Republic. The selected group possesses a variety of species-specific key morphological traits, such as cell size, coloniality, and bristle formation. Using a custom reference database of cultured species, we assigned 99.93% of eDNA reads to 74 species-level lineages with known morphological traits. Community changes in colonial species were influenced by abiotic drivers such as silica concentration and wind speed. By contrast, shifts in unicellular species communities were mainly driven by Cladocera predators, influencing the occurrence of bristle-bearing species. Changes in species composition and morphological traits occurred within days, mirroring environmental variability. Achieving such fine-scale resolution, especially for small or rare taxa, would be extremely difficult using microscopy alone. eDNA enabled high-resolution community profiling and abundance estimation, demonstrating its key role and the importance of comprehensive reference databases.","PeriodicalId":214,"journal":{"name":"New Phytologist","volume":"30 1","pages":""},"PeriodicalIF":8.1000,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Phytologist","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1111/nph.70534","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Phytoplankton, as primary producers, play a key role in aquatic ecosystems. Their community turnover is shaped by morphological traits that enable adaptation to diverse abiotic and biotic factors. Yet, the temporal scale of these dynamics remains poorly understood due to limited high-frequency sampling studies. Employing DNA metabarcoding, we assessed the community composition of the phytoplankton lineage Synurales (Chrysophyceae) at 3-d intervals during 70 d at a shallow peat bog lake in the Czech Republic. The selected group possesses a variety of species-specific key morphological traits, such as cell size, coloniality, and bristle formation. Using a custom reference database of cultured species, we assigned 99.93% of eDNA reads to 74 species-level lineages with known morphological traits. Community changes in colonial species were influenced by abiotic drivers such as silica concentration and wind speed. By contrast, shifts in unicellular species communities were mainly driven by Cladocera predators, influencing the occurrence of bristle-bearing species. Changes in species composition and morphological traits occurred within days, mirroring environmental variability. Achieving such fine-scale resolution, especially for small or rare taxa, would be extremely difficult using microscopy alone. eDNA enabled high-resolution community profiling and abundance estimation, demonstrating its key role and the importance of comprehensive reference databases.
高频采样揭示了浮游植物快速形态变化的生物和非生物驱动因素。
浮游植物作为初级生产者,在水生生态系统中起着关键作用。它们的群落更替是由能够适应多种非生物和生物因素的形态特征决定的。然而,由于有限的高频采样研究,这些动态的时间尺度仍然知之甚少。采用DNA元条形码技术,对捷克某浅泥炭沼泽湖泊浮游植物系菊科(Synurales, Chrysophyceae)在70 d内的群落组成进行了三维分析。所选择的群体具有多种物种特异性的关键形态特征,如细胞大小,殖民地和刚毛形成。利用培养物种的定制参考数据库,我们将99.93%的eDNA reads分配到74个具有已知形态特征的物种水平谱系。群落的变化受二氧化硅浓度和风速等非生物因素的影响。相比之下,单细胞物种群落的变化主要受枝角目捕食者的驱动,影响了刚毛物种的发生。物种组成和形态特征在几天内发生变化,反映了环境的变化。要获得如此精细的分辨率,特别是对于小型或稀有的分类群,单独使用显微镜是非常困难的。eDNA实现了高分辨率的群落分析和丰度估计,证明了其关键作用和综合参考数据库的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
New Phytologist
New Phytologist 生物-植物科学
自引率
5.30%
发文量
728
期刊介绍: New Phytologist is an international electronic journal published 24 times a year. It is owned by the New Phytologist Foundation, a non-profit-making charitable organization dedicated to promoting plant science. The journal publishes excellent, novel, rigorous, and timely research and scholarship in plant science and its applications. The articles cover topics in five sections: Physiology & Development, Environment, Interaction, Evolution, and Transformative Plant Biotechnology. These sections encompass intracellular processes, global environmental change, and encourage cross-disciplinary approaches. The journal recognizes the use of techniques from molecular and cell biology, functional genomics, modeling, and system-based approaches in plant science. Abstracting and Indexing Information for New Phytologist includes Academic Search, AgBiotech News & Information, Agroforestry Abstracts, Biochemistry & Biophysics Citation Index, Botanical Pesticides, CAB Abstracts®, Environment Index, Global Health, and Plant Breeding Abstracts, and others.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信