Local-Scale Damming Impact on the Planktonic Bacterial and Eukaryotic Assemblages in the upper Yangtze River

Li, Hang; Li, Zhe; Tang, Qiong; Li, Ran; Lu, Lunhui

doi:10.1007/s00248-022-02012-w

Cited by 4 publications

(1 citation statement)

References 86 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Modules are highly connected regions in a network that may reflect the aggregation of phylogenetically closely related species, overlapping niches and the co-evolution of species, and they are considered phylogenetically, evolutionarily, or functionally independent units ( Olesen et al, 2007 ). ASVs with high Spearman correlation coefficients (| r | > 0.8) and statistically significant ( p < 0.05) correlations were selected for bacterial and fungal contribution network analysis to identify the major eco-clusters (modules or assemblages) of strongly correlated ASVs ( Li H. et al, 2022 ). The network core node discrimination methods of within-module connectivity ( Z i ) and among-module connectivity ( P i ) have been widely applied, based on this, we used them for inference of network node properties and filtering of key species ( Deng et al, 2012 ).…”

Section: Methodsmentioning

confidence: 99%

Microbial community and soil enzyme activities driving microbial metabolic efficiency patterns in riparian soils of the Three Gorges Reservoir

Yang

Chen

et al. 2023

Front. Microbiol.

Self Cite

View full text Add to dashboard Cite

Riparian zones represent important transitional areas between aquatic and terrestrial ecosystems. Microbial metabolic efficiency and soil enzyme activities are important indicators of carbon cycling in the riparian zones. However, how soil properties and microbial communities regulate the microbial metabolic efficiency in these critical zones remains unclear. Thus, microbial taxa, enzyme activities, and metabolic efficiency were conducted in the riparian zones of the Three Gorges Reservoir (TGR). Microbial carbon use efficiency and microbial biomass carbon had a significant increasing trend along the TGR (from upstream to downstream); indicating higher carbon stock in the downstream, microbial metabolic quotient (qCO2) showed the opposite trend. Microbial community and co-occurrence network analysis revealed that although bacterial and fungal communities showed significant differences in composition, this phenomenon was not found in the number of major modules. Soil enzyme activities were significant predictors of microbial metabolic efficiency along the different riparian zones of the TGR and were significantly influenced by microbial α-diversity. The bacterial taxa Desulfobacterota, Nitrospirota and the fungal taxa Calcarisporiellomycota, Rozellomycota showed a significant positive correlation with qCO2. The shifts in key microbial taxa unclassified_k_Fungi in the fungi module #3 are highlighted as essential factors regulating the microbial metabolic efficiency. Structural equation modeling results also revealed that soil enzyme activities had a highly significant negative effect on microbial metabolism efficiency (bacteria, path coefficient = −0.63; fungi, path coefficient = −0.67).This work has an important impact on the prediction of carbon cycling in aquatic-terrestrial ecotones.

show abstract

Section: Methodsmentioning

confidence: 99%