Evidence map›Paper›PMID 41804486›Full record

ArticlePeerJ2026

The distribution characteristics of medusozoans (Cnidaria) related to environmental factors in cold source water intake area of the Fangchenggang Nuclear Power Plant based on eDNA metabarcoding technology.

Tong Su, Jie Guo, Mingben Xu, Yutong Xie, Bingfu Tan, Huizhu Pan, Xiaowen Tan, Liangbin Yi, Liangliang Huang, Junxiang Lai

Abstract read
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Tong SuGuangxi Key Laboratory of Theory and Technology for Environmental Pollution Control, Guilin University of Technology, Guilin, China.
Jie GuoGuangxi Key Laboratory of Marine Environmental Science, Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, China.
Mingben XuGuangxi Key Laboratory of Marine Environmental Science, Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, China.
Yutong XieGuangxi Key Laboratory of Theory and Technology for Environmental Pollution Control, Guilin University of Technology, Guilin, China.
Bingfu TanGuangxi Key Laboratory of Marine Environmental Science, Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, China.
Huizhu PanGuangxi Key Laboratory of Marine Environmental Science, Guangxi Academy of Marine Sciences, Guangxi Academy of Sciences, Nanning, China.
Xiaowen TanGuangxi Fangchenggang Nuclear Power Co., Ltd, Fangchenggang, China.
Liangbin YiGuangxi Fangchenggang Nuclear Power Co., Ltd, Fangchenggang, China.
Liangliang HuangGuangxi Key Laboratory of Theory and Technology for Environmental Pollution Control, Guilin University of Technology, Guilin, China.
Junxiang LaiGuangxi Key Laboratory of Theory and Technology for Environmental Pollution Control, Guilin University of Technology, Guilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The free-swimming gelatinous stage of medusozoans, generally called 'jellyfish', frequently swarms around the intake area of the Fangchenggang Nuclear Power Plant, posing a noticeable risk to its operational safety. Traditional ecological survey methods have limitations in rapidly and effectively assessing the diversity and spatiotemporal distribution of medusozoans, particularly during their early life stages, such as planulae, polyps, and ephyrae. To compensate for these limitations, we employed environmental DNA (eDNA) metabarcoding technology-a non-invasive, efficient, and broadly applicable approach-to conduct targeted surveys during the winter and summer seasons. The findings revealed notable seasonal variations in medusozoan community composition, with 29 and 56 species identified in winter and summer, respectively (

Indexed as

DNA Barcoding, TaxonomicDNA, EnvironmentalNuclear Power PlantsAnimalsChinaCold TemperatureEnvironmental MonitoringSeasonsDNA, EnvironmentalChinaDistribution characteristicseDNA metabarcodingEnvironmental factorsMedusozoan communities

Identifiers

PMID41804486
PMCPMC12967418

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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.