AUTHOR=Zhang Yan , Han Maozhen , Wu Li , Ding Guoao , Liu Kai , He Kui , Zhao Jingqiu , Liao Yiwen , Gao Yun , Zhang Cui 

TITLE=Effects of season and water quality on community structure of planktonic eukaryotes in the Chaohu Lake Basin

JOURNAL=Frontiers in Microbiology

VOLUME=15

YEAR=2024

URL=https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2024.1424277

DOI=10.3389/fmicb.2024.1424277

ISSN=1664-302X

ABSTRACT=<sec><title>Introduction</title><p>Analyzing the correlation between planktonic eukaryotic communities (PECs) and aquatic physicochemical parameters (APPs) provides important references for predicting the impact of climate change and human activities on aquatic ecosystems.</p></sec><sec><title>Methods</title><p>To assess the influence of seasons and APPs on PEC structures in lakes and rivers, we utilized high-throughput sequencing of the 18S rRNA gene to analyze PEC structures in a lake and seven rivers in the Chaohu Lake Basin and analyzed their correlations with APPs.</p></sec><sec><title>Results</title><p>Our results revealed that PEC structure was significantly affected by season, with the highest α-diversity observed in summer. Furthermore, we identified several APPs, including water temperature, conductivity, dissolved oxygen, pH, phosphate, total phosphorus, trophic level index (TLI), nitrate, ammonia nitrogen, and total nitrogen, that significantly influenced PEC structures. Specifically, we found that <italic>Stephanodiscus hantzschii</italic>, <italic>Simocephalus serrulatus</italic>, <italic>Cryptomonas</italic> sp. CCAC_0109, <italic>Pedospumella encystans</italic>, <italic>Actinochloris sphaerica</italic>, <italic>Chlamydomonas angulosa</italic>, <italic>Gonyostomum semen</italic>, <italic>Skeletonema potamos</italic>, <italic>Chlamydomonas klinobasis</italic>, <italic>Pedospumella</italic> sp., and <italic>Neochlorosarcina negevensis</italic> were significantly correlated to TLI, while <italic>Limnoithona tetraspina</italic>, <italic>Theileria</italic> sp., and <italic>Pseudophyllomitus vesiculosus</italic> were significantly correlated to the water quality index (WQI). However, our random forest regression analysis using the top 100 species was unable to accurately predict the WQI and TLI.</p></sec><sec><title>Discussion</title><p>These results provide valuable data for evaluating the impact of APPs on PEC and for protecting water resource in the Chaohu Lake Basin.</p></sec>