Evidence map›Paper›PMID 37240851›Full record

ArticleLife (Basel, Switzerland)2023

Dynamics of Bacterioplankton Communities during Wet and Dry Seasons in the Danjiangkou Reservoir in Hubei, China.

Qing Yang, Dewang Li, Wei Chen, Liming Zhu, Xi Zou, Lian Hu, Yujie Yuan, Shan He, Fang Shi

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Qing YangInstitute of Hydroecology, Ministry of Water Resources & Chinese Academy of Sciences, Wuhan 430079, China.
Dewang LiInstitute of Hydroecology, Ministry of Water Resources & Chinese Academy of Sciences, Wuhan 430079, China.
Wei ChenInstitute of Hydroecology, Ministry of Water Resources & Chinese Academy of Sciences, Wuhan 430079, China.
Liming ZhuInstitute of Hydroecology, Ministry of Water Resources & Chinese Academy of Sciences, Wuhan 430079, China.
Xi ZouInstitute of Hydroecology, Ministry of Water Resources & Chinese Academy of Sciences, Wuhan 430079, China.
Lian HuInstitute of Hydroecology, Ministry of Water Resources & Chinese Academy of Sciences, Wuhan 430079, China.
Yujie YuanInstitute of Hydroecology, Ministry of Water Resources & Chinese Academy of Sciences, Wuhan 430079, China.
Shan HeInstitute of Hydroecology, Ministry of Water Resources & Chinese Academy of Sciences, Wuhan 430079, China.
Fang ShiInstitute of Hydroecology, Ministry of Water Resources & Chinese Academy of Sciences, Wuhan 430079, China.

Funding

Major Science and Technology Projects of the Ministry of Water Resources SKR-2022015 and SKS-2022081National Key R&D Program of China 2022YFC3203905National Natural Science Foundation of China U2040207
6 · The paper itself

Abstract

Water quality is directly linked to drinking water safety for millions of people receiving the water. The Danjiangkou Reservoir is the main water source for the Middle Route of the South-to-North Water Diversion Project (MR-SNWDP), located in the vicinity of Henan and Hubei provinces in China. Aquatic microorganisms are key indicators of biologically assessing and monitoring the water quality of the reservoir as they are sensitive to environmental and water quality changes. This study aimed to investigate the spatiotemporal variations in bacterioplankton communities during wet (April) and dry (October) seasons at eight monitoring points in Hanku reservoir and five monitoring points in Danku reservoir. Each time point had three replicates, labeled as wet season Hanku (WH), wet season Danku (WD), dry season Hanku (DH), and dry season Danku (DD) of Danjiangkou Reservoir in 2021. High-throughput sequencing (Illumina PE250) of the 16S rRNA gene was performed, and alpha (ACE and Shannon) and beta (PCoA and NDMS) diversity indices were analyzed. The results showed that the dry season (DH and DD) had more diverse bacterioplankton communities compared to the wet season (WH and WD). Proteobacteria, Actinobacteria, and Firmicutes were the most abundant phyla, and Acinetobacter, Exiguobacterium, and Planomicrobium were abundant in the wet season, while polynucleobacter was abundant in the dry season. The functional prediction of metabolic pathways revealed six major functions including carbohydrate metabolism, membrane transport, amino acid metabolism, signal transduction, and energy metabolism. Redundancy analysis showed that environmental parameters greatly affected bacterioplankton diversity during the dry season compared to the wet season. The findings suggest that seasonality has a significant impact on bacterioplankton communities, and the dry season has more diverse communities influenced by environmental parameters. Further, the relatively high abundance of certain bacteria such as Acinetobacter deteriorated the water quality during the wet season compared to the dry season. Our findings have significant implications for water resource management in China, and other countries facing similar challenges. However, further investigations are required to elucidate the role of environmental parameters in influencing bacterioplankton diversity in order to devise potential strategies for improving water quality management in the reservoir.

Indexed as

16S rRNA genebacterioplankton diversityDanjiangkou Reservoirspatiotemporal variationswet and dry season

Identifiers

PMID37240851
PMCPMC10220977

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.