| Literature DB >> 35077715 |
Mo Chen1, Ya-Qing Zhang2, Lee R Krumholz3, Li-Ya Zhao4, Zai-Sheng Yan5, Yu-Jing Yang4, Zhao-Hua Li4, Faisal Hayat2, Hong-Bing Chen4, Ran Huang2.
Abstract
Decomposing cyanobacterial bloom-induced black blooms been seen as an issue in the management of freshwater ecosystems, but its effect on sulfate-reducing bacteria (SRB) in shallow freshwater lakes is not clear. The objective of this study is to present an in-depth investigation of black bloom effects on the activities and composition of SRB, as well as the interactions between SRB and other bacteria. Water and surface sediments samples were collected from a shallow freshwater lake during black and non-black blooms. Sulfate reduction rates (SRRs) in the water column were determined from the linear regression of sulfate depletion with time. Quantitative real-time polymerase chain reactions (qPCRs), targeting the dsrA gene and Illumina sequencing of 16S rDNA, were used to estimate the SRB population and SRB community structures, respectively. Our data indicate that although a higher abundance of SRB was responsible for the higher SRR in the bottom water (34.09 ± 2.37 nmol mL-1 day-1) than in the surface water (14.57 ± 2.91 nmol mL-1 day-1) during black blooms, cell-specific sulfate reduction rates (csSRRs) in the distinct water layers were not significantly different (P = 0.95), with the value of approximately 0.017 fmol cell-1 day-1. Additionally, Desulfomicrobium and Desulfovibrio were the two main genera of SRB in the water column during black bloom season, while Desulfobulbus, Desulfobacca and Desulfatiglans genera were identified in the sediments of both the black and non-black blooms in genera pools. Each SRB genus preferentially associated with bacteria for specific functions in the bacterial co-occurrence network, regardless of whether black booms occurred or not. These results extend our knowledge on the importance of SRB during black blooms and the adaptation of SRB to environmental changes in freshwater lakes.Entities:
Keywords: Black blooms; Co-occurrence network; Cyanobacterial bloom biomass; Shallow freshwater lakes; Sulfate-reducing bacteria
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Year: 2022 PMID: 35077715 DOI: 10.1016/j.envres.2022.112732
Source DB: PubMed Journal: Environ Res ISSN: 0013-9351 Impact factor: 6.498