Evidence map›Paper›PMID 42178356›Full record

ArticleScientific data2026

Two-hourly resolved microbial and viral dynamics in the subtropical Daya Bay.

Songze Chen, Shuaishuai Xu, Muhammad Zain Ul Arifeen, Xiaomeng Wang, Kangli Guo, Jianchang Tao, Minxu Li, Hao Wang, Chuanlun Zhang, Shengwei Hou

Abstract readDataset
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Songze Chen *Shenzhen Key Laboratory of Marine Archaea Geo-Omics, Department of Ocean Science and Department of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Shuaishuai Xu *Shenzhen Key Laboratory of Marine Archaea Geo-Omics, Department of Ocean Science and Department of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Muhammad Zain Ul ArifeenShenzhen Key Laboratory of Marine Archaea Geo-Omics, Department of Ocean Science and Department of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Xiaomeng WangShenzhen Key Laboratory of Marine Archaea Geo-Omics, Department of Ocean Science and Department of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Kangli GuoShenzhen Key Laboratory of Marine Archaea Geo-Omics, Department of Ocean Science and Department of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Jianchang TaoShenzhen Key Laboratory of Marine Archaea Geo-Omics, Department of Ocean Science and Department of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Minxu LiShenzhen Key Laboratory of Marine Archaea Geo-Omics, Department of Ocean Science and Department of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Hao WangShenzhen Key Laboratory of Marine Archaea Geo-Omics, Department of Ocean Science and Department of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Chuanlun ZhangShenzhen Key Laboratory of Marine Archaea Geo-Omics, Department of Ocean Science and Department of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Shengwei HouShenzhen Key Laboratory of Marine Archaea Geo-Omics, Department of Ocean Science and Department of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. housw@sustech.edu.cn.ORCID http://orcid.org/0000-0002-4474-7443

Funding

National Natural Science Foundation of China (National Science Foundation of China) 4241003Shenzhen Science and Technology Innovation Commission JCYJ20220530115401003
6 · The paper itself

Abstract

Planktonic microbial and viral communities are fundamental drivers of biogeochemical cycling and energy flow in marine ecosystems. These communities display substantial variability in their composition at daily to sub-daily scales, which cannot be captured by conventional low-frequency monthly or weekly sampling. To reveal these high-resolution dynamics, we performed a time-series sampling of planktonic microbial and viral communities in the subtropical Daya Bay at 2-hour intervals over 3 days. Seawater samples were subjected to metagenomic and metatranscriptomic sequencing for the cellular size fraction (>0.2 μm) and metagenomic sequencing for the viral size fraction (0.02-0.2 μm). This approach enabled us to capture fine-scale temporal variations in the genomic composition and transcriptional activities of microbial and viral communities. The resulting comprehensive dataset, including 700 metagenome-assembled genomes (MAGs) and 118,242 viral operational taxonomic units (vOTUs), provides a valuable resource for investigating the metabolic potentials and dynamic interactions within natural planktonic microbial-viral assemblages in subtropical bay ecosystems, offering insights into their ecological roles that are inaccessible through low-temporal-resolution sampling.

Indexed as

BaysPlanktonSeawaterVirusesEcosystemMetagenomeMetagenomics

Identifiers

PMID42178356
PMCPMC13392252

What OpenQuestion holds

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Registered trials

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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.