2024
DOI: 10.1038/s41598-024-55702-5
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Seasonal changes of prokaryotic microbial community structure in Zhangjiayan Reservoir and its response to environmental factors

Xintao Yu,
Yong Li,
Yue Wu
et al.

Abstract: As a typical sub-deep reservoir in the upper reaches of the Yangtze River in the southwest region, Zhangjiayan Reservoir is also an important source of drinking water. Exploring the role of microorganisms in the material cycle of water bodies is of great significance for preventing the exacerbation of eutrophication in the reservoir. In this study, water samples from the overlying water of five points in the reservoir were collected four times in spring (April), summer (July), autumn (November), and winter (Ja… Show more

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“…ASV tables were then merged and combined for each Illumina run and the SILVA database (v. 138.1) was used for taxonomic assignment using RStudio v. 1.4.1. While 16S rRNA calculated relative abundance is a widely employed method for assessing microbial community composition (e.g., Seth et al, 2024 ; Yu et al, 2024 ) due to its decreased cost, speed, and scalability ( Durazzi et al, 2021 ), it is important to acknowledge potential sources of error inherent in this approach. These potential sources of errors include variability in 16S gene copy number and amplification/sequencing bias and error ( Suzuki and Giovannoni, 1996 ; Hong et al, 2009 ; Kembel et al, 2012 ).…”
Section: Methodsmentioning
confidence: 99%
“…ASV tables were then merged and combined for each Illumina run and the SILVA database (v. 138.1) was used for taxonomic assignment using RStudio v. 1.4.1. While 16S rRNA calculated relative abundance is a widely employed method for assessing microbial community composition (e.g., Seth et al, 2024 ; Yu et al, 2024 ) due to its decreased cost, speed, and scalability ( Durazzi et al, 2021 ), it is important to acknowledge potential sources of error inherent in this approach. These potential sources of errors include variability in 16S gene copy number and amplification/sequencing bias and error ( Suzuki and Giovannoni, 1996 ; Hong et al, 2009 ; Kembel et al, 2012 ).…”
Section: Methodsmentioning
confidence: 99%