Márton Zsuzsanna, Szabó Beáta, Vad Csaba F, Pálffy Károly, Horváth Zsófia
Institute of Aquatic Ecology, Centre for Ecological Research, Karolina út 29, 1113, Budapest, Hungary.
National Multidisciplinary Laboratory for Climate Change, Centre for Ecological Research, Karolina út 29, 1113, Budapest, Hungary.
Sci Rep. 2023 Feb 24;13(1):3243. doi: 10.1038/s41598-023-30385-6.
Temporary ponds are among the most sensitive aquatic habitats to climate change. Their microbial communities have crucial roles in food webs and biogeochemical cycling, yet how their communities are assembled along environmental gradients is still understudied. This study aimed to reveal the environmental drivers of diversity (OTU-based richness, evenness, and phylogenetic diversity) and community composition from a network of saline temporary ponds, soda pans, in two consecutive spring seasons characterized by contrasting weather conditions. We used DNA-based molecular methods to investigate microbial community composition. We tested the effect of environmental variables on the diversity of prokaryotic (Bacteria, Cyanobacteria) and microeukaryotic functional groups (ciliates, heterotrophic flagellates and nanoflagellates, fungi, phytoplankton) within and across the years. Conductivity and the concentration of total suspended solids and phosphorus were the most important environmental variables affecting diversity patterns in all functional groups. Environmental conditions were harsher and they also had a stronger impact on community composition in the dry spring. Our results imply that these conditions, which are becoming more frequent with climate change, have a negative effect on microbial diversity in temporary saline ponds. This eventually might translate into community-level shifts across trophic groups with changing local conditions with implications for ecosystem functioning.
临时池塘是对气候变化最为敏感的水生栖息地之一。它们的微生物群落对食物网和生物地球化学循环起着关键作用,然而其群落如何沿环境梯度组装仍未得到充分研究。本研究旨在揭示在两个以不同天气条件为特征的连续春季中,来自盐碱临时池塘网络(碱湖)的多样性(基于OTU的丰富度、均匀度和系统发育多样性)和群落组成的环境驱动因素。我们使用基于DNA的分子方法来研究微生物群落组成。我们测试了环境变量对不同年份内以及不同年份间原核生物(细菌、蓝细菌)和微型真核生物功能类群(纤毛虫、异养鞭毛虫和纳米鞭毛虫、真菌、浮游植物)多样性的影响。电导率、总悬浮固体浓度和磷是影响所有功能类群多样性模式的最重要环境变量。环境条件在干旱的春季更为恶劣,对群落组成的影响也更强。我们的结果表明,这些随着气候变化而变得更加频繁的条件,会对临时盐碱池塘中的微生物多样性产生负面影响。这最终可能会随着当地条件的变化导致各营养级群落水平的转变,进而影响生态系统功能。