平原河网区湖泊湿地沉积物细菌群落的时空特征

IF 2.5 4区 工程技术 Q3 CHEMISTRY, ANALYTICAL Separations Pub Date : 2023-10-10 DOI:10.3390/separations10100535
Yongsheng Chang, Xiaoshuang Dong, Xixi Yang, Haojie Chen, Haoran Yang, Wei Huang
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引用次数: 0

摘要

沉积物细菌群落是水生和陆地生态系统微生物群落的重要组成部分,在湖泊湿地中起着至关重要的作用。本研究旨在探讨季节、深度和区域环境因子对太湖流域平原河网区细菌群落组成和多样性的影响。使用技术上一致的方法检查了研究区域样品表面25厘米处的数百万个Illumina reads (16S rRNA基因扩增子)。多样性指数、相对丰度、主成分分析(PCA)、冗余分析(RDA)和线性判别分析效应量(LEfSe)分析结果表明,夏季细菌群落多样性总体高于其他季节。变形菌门在不同季节(43.15-57.41%)和不同层位(39.66-77.97%)的沉积物样品中含量最多;秋季沉积物富集厚壁菌门(5.67%)和氯氟菌门(12.5%);四季沉积物中富集有Betaproteobacteria(14.98 ~ 23.45%)、Gammaproteobacteria(11.98 ~ 14.36%)和Deltaproteobacteria(8.68 ~ 14.45%)。在底部(10 ~ 25 cm)沉积物中,Chloroflexi较多,平均值为10.42%,而Bacteroidetes是表层沉积物中的优势门;冗余分析发现,总磷(TP) (p = 0.036)是影响各层沉积物细菌群落的主要环境因子。本研究为进一步了解季节变化对湖泊湿地沉积物微生物的影响提供了参考。
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Temporal and Spatial Characterization of Sediment Bacterial Communities from Lake Wetlands in a Plain River Network Region
Sediment bacterial communities are a vital component of microbial communities in aquatic and terrestrial ecosystems and they play a critical role in lake wetlands. We aimed to investigate the effect of season, depth and regional environmental factors on the composition and diversity of bacterial communities in a plain river network area from Taihu Basin. The millions of Illumina reads (16S rRNA gene amplicons) at the surface 25 cm inside samples of the study area were examined using a technically consistent approach. Results from the diversity index, relative abundance, principal component analysis (PCA), redundancy analysis (RDA) and linear discriminant analysis effect size (LEfSe) analysis indicated that the diversity of the bacterial community in summer was generally higher than in other seasons. Proteobacteria were the most abundant phylum in the sediment samples in different seasons (43.15–57.41%) and different layers (39.66–77.97%); the autumn sediments were enriched with Firmicutes (5.67%) and Chloroflexi (12.5%); in all four seasons the sediments were enriched with Betaproteobacteria (14.98–23.45%), Gammaproteobacteria (11.98–14.36%) and Deltaproteobacteria (8.68–14.45%). In the bottom sediments (10–25 cm), Chloroflexi were abundant (average value 10.42%), while Bacteroidetes was the dominant phylum in the surface sediments; redundancy analysis found that total phosphorus (TP) (p = 0.036) was the main environmental factor influencing the sediment bacterial community in different layers. This study provides a reference for further understanding the effects of seasonal changes on sediment microorganisms in lake wetlands.
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来源期刊
Separations
Separations Chemistry-Analytical Chemistry
CiteScore
3.00
自引率
15.40%
发文量
342
审稿时长
12 weeks
期刊介绍: Separations (formerly Chromatography, ISSN 2227-9075, CODEN: CHROBV) provides an advanced forum for separation and purification science and technology in all areas of chemical, biological and physical science. It publishes reviews, regular research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, unique features of this journal: Manuscripts regarding research proposals and research ideas will be particularly welcomed. Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. Manuscripts concerning summaries and surveys on research cooperation and projects (that are funded by national governments) to give information for a broad field of users. The scope of the journal includes but is not limited to: Theory and methodology (theory of separation methods, sample preparation, instrumental and column developments, new separation methodologies, etc.) Equipment and techniques, novel hyphenated analytical solutions (significantly extended by their combination with spectroscopic methods and in particular, mass spectrometry) Novel analysis approaches and applications to solve analytical challenges which utilize chromatographic separations as a key step in the overall solution Computational modelling of separations for the purpose of fundamental understanding and/or chromatographic optimization
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