Laymand Emile, Galand Pierre E, Bouget François-Yves, Bittner Lucie, Joux Fabien
CNRS, Laboratoire d'Océanographie Microbienne (LOMIC), Observatoire Océanologique de Banyuls, Sorbonne Université, Banyuls-Sur-Mer, France.
Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum National d'Histoire Naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France.
Environ Microbiol Rep. 2025 Aug;17(4):e70154. doi: 10.1111/1758-2229.70154.
Fungi have gained recognition as key organisms within the pelagic marine food webs over the past few decades, with studies showing they constitute a significant proportion of eukaryotes in different marine ecosystems. However, how this proportion varies with time, what triggers fungal blooms, and which fungal clades are involved in those blooms are largely open questions. Here, we used a 5-year, high-frequency 18S V4 metabarcoding time series from a well-documented coastal site of the North West Mediterranean Sea to address these questions. This time series has one of the highest temporal resolutions (up to two samples a week) ever used to investigate marine fungal dynamics. We showed that the dynamics of the fungal relative abundance at this site are mainly chaotic, with short-term blooms dominated by 41 Amplicon Sequence Variants (ASVs), mainly assigned to Ascomycota. Most of these ASVs are not restricted to the Mediterranean Sea or the marine environment. We found weak links between biotic or abiotic parameters and the relative abundance of Fungi. Our study highlights the relevance of high-frequency time series to study marine fungal dynamics, as it lowers the risk of aliasing and spurious conclusions.
在过去几十年里,真菌已被公认为海洋浮游食物网中的关键生物,研究表明它们在不同海洋生态系统的真核生物中占很大比例。然而,这一比例如何随时间变化、引发真菌大量繁殖的因素是什么,以及哪些真菌类群参与了这些繁殖活动,在很大程度上仍是未解之谜。在此,我们利用来自地中海西北部一个记录完备的沿海站点的5年高频18S V4宏条形码时间序列来解决这些问题。该时间序列具有用于研究海洋真菌动态的最高时间分辨率之一(每周多达两个样本)。我们表明,该站点真菌相对丰度的动态主要是混沌的,短期大量繁殖由41个扩增子序列变体(ASV)主导,主要归为子囊菌门。这些ASV中的大多数并不局限于地中海或海洋环境。我们发现生物或非生物参数与真菌相对丰度之间的联系较弱。我们的研究强调了高频时间序列对于研究海洋真菌动态的相关性,因为它降低了混叠和虚假结论的风险。