水生生物学报2024，Vol.48Issue(12)：2055-2068,14.DOI:10.7541/2024.2024.0089
巴松错水体细菌群落组成及其分子生态网络特征
BACTERIAL COMMUNITY COMPOSITION AND CHARACTERIZATION OF MOLECULAR ECOLOGICAL NETWORKS IN THE WATER COLUMN OF THE BASOMTSO LAKE
摘要
Abstract
In this study,we selected the Basomtso Lake in Xizang,China,as the research object,and utilized 16S rDNA Illumina high-throughput sequencing technology to investigate differences in the composition and structure of bacterial community across different locations and waters within Basomtso Lake.Our aim was to explore the correlation between environmental factors and the bacterial community in Basomtso Lake.Analysis of 16S rDNA gene sequences yielded a total of 5570 valid OTUs.with annotation revealing 88 phyla,180 classes,349 orders,481 families,and 694 genera.The results showed that Proteobacteria,Bacteroidota,and Actinobacteria were the dominant phyla,while Candidatus_Aquirestis,hgcI_clade,and unidentified_MethylacidipHilaceae were the dominant genera.Redundancy analyses showed that temperature,dissolved oxygen,and biochemical oxygen demand exerted significant effects on changes in the bacterial community structure in the water bodies of the Basomtso Lake.Molecular ecological network analysis showed that Ascomycetes,Actinobacteria,and Bacteroidetes as key nodes in the network construction,with 94.5%of edges displaying positive correlations.In summary,the bacterial resources in the Basomtso Lake are rich and diversified,closely related to environmental factors.Interactions among bacterial communities in Basomtso Lake are predominatly synergistic.This study provides an important theoretical foundation for the development and utilization of bacterial diversity in Basomtso Lake.关键词
高原湖泊/细菌群落结构/环境因子/分子生态网络/协同作用/巴松错Key words
Plateau lake/Bacterial community structure/Environmental factor/Molecular ecological network/Coopera-tive interaction/Basomtso Lake分类
生物科学引用本文复制引用
周迪,王东旭,欧美香,格桑曲珍,德吉,刘琳,郭小芳..巴松错水体细菌群落组成及其分子生态网络特征[J].水生生物学报,2024,48(12):2055-2068,14.基金项目
国家自然科学基金(31960024) （31960024）
西藏大学人才激励计划资助[Supported by the National Natural Science Foundation of China(31960024) （31960024）
the Tibet University Talent Incentive Program Project Grant] （）
