2020
DOI: 10.3390/ijerph17041128
|View full text |Cite
|
Sign up to set email alerts
|

Community Compositions of Phytoplankton and Eukaryotes during the Mixing Periods of a Drinking Water Reservoir: Dynamics and Interactions

Abstract: In deep drinking water reservoir ecosystems, the dynamics and interactions of community compositions of phytoplankton and eukaryotes during the mixing periods are still unclear. Here, morphological characteristics combined with high-throughput DNA sequencing (HTS) were used to investigate the variations of phytoplankton and the eukaryotic community in a large canyon-shaped, stratified reservoir located at the Heihe River in Shaanxi Province for three months. The results showed that Bacillariophyta and Chloroph… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
33
0
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 76 publications
(35 citation statements)
references
References 64 publications
0
33
0
1
Order By: Relevance
“…The raw data were subjected to a quality control and then filtered to obtain effective sequences as follows: (I) Sequences with ambiguous bases were discarded and truncated for any site receiving an average quality score of <20 across a 50-bp sliding window; (II) The number of mismatches allowed in the barcode and the maximum number of mismatches allowed for the primers were 0 and 2, respectively; and (III) The sequences were longer than 300 bp, and an average quality score of >20 was included for further analyses. Chimeric sequences were detected and excluded by the QIIME implementation of the USEARCH algorithm [27]. Under a 97% similarity level, DNA sequences were classified into operational taxonomic units (OTUs) using USEARCH 7.1.…”
Section: High-throughput Analysis Of the Soil Bacterial Communitymentioning
confidence: 99%
“…The raw data were subjected to a quality control and then filtered to obtain effective sequences as follows: (I) Sequences with ambiguous bases were discarded and truncated for any site receiving an average quality score of <20 across a 50-bp sliding window; (II) The number of mismatches allowed in the barcode and the maximum number of mismatches allowed for the primers were 0 and 2, respectively; and (III) The sequences were longer than 300 bp, and an average quality score of >20 was included for further analyses. Chimeric sequences were detected and excluded by the QIIME implementation of the USEARCH algorithm [27]. Under a 97% similarity level, DNA sequences were classified into operational taxonomic units (OTUs) using USEARCH 7.1.…”
Section: High-throughput Analysis Of the Soil Bacterial Communitymentioning
confidence: 99%
“…The RDP Classifier algorithm (http://rdp.cme.msu. edu/) containing the Silva (SSU123) 16S rRNA database was applied to annotate each OUT sequence with a 70% confidence threshold (Yan et al 2020).…”
Section: Methodsmentioning
confidence: 99%
“…The other data processing was based on the methodological flowchart (Supplementary Figure S1). Rarefaction curves and alpha diversity indices (Ace), bacterial community diversity (Shannon index) and coverage were calculated using MOTHUR (http://www.mothur.org) [16]. The Venn diagrams and abundance-rank curves were created by using R Software (version 3.2.3, R core team, Vienna, Austria) [17].…”
Section: Data Processingmentioning
confidence: 99%