Evidence map›Paper›PMID 38898104›Full record

ArticleNPJ biofilms and microbiomes2024

Temporal turnover of viral biodiversity and functional potential in intertidal wetlands.

Mengzhi Ji, Yan Li, Jiayin Zhou, Wen Song, Yuqi Zhou, Kai Ma, Mengqi Wang, Xia Liu, Yueyue Li, Xiaofan Gong and 1 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Hawaiian Geothermal Fumaroles Contain Diverse and Novel Viruses.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

11 authors.

Mengzhi JiInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong Province, China.ORCID http://orcid.org/0000-0002-4855-6441
Yan LiInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong Province, China.
Jiayin ZhouInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong Province, China.
Wen SongInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong Province, China.
Yuqi ZhouInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong Province, China.
Kai MaInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong Province, China.ORCID http://orcid.org/0000-0001-7748-7089
Mengqi WangInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong Province, China.
Xia LiuInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong Province, China.
Yueyue LiInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong Province, China.
Xiaofan GongInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong Province, China.
Qichao TuInstitute of Marine Science and Technology, Shandong University, Qingdao, Shandong Province, China. tuqichao@sdu.edu.cn.ORCID http://orcid.org/0000-0002-3245-7545

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32371598National Natural Science Foundation of China (National Science Foundation of China) 92051110
6 · The paper itself

Abstract

As the central members of the microbiome networks, viruses regulate the composition of microbial communities and drive the nutrient cycles of ecosystems by lysing host cells. Therefore, uncovering the dynamic patterns and the underlying ecological mechanisms mediating the tiniest viral communities across space and through time in natural ecosystems is of crucial importance for better understanding the complex microbial world. Here, the temporal dynamics of intertidal viral communities were investigated via a time-series sampling effort. A total of 1911 viral operational taxonomic units were recovered from 36 bimonthly collected shotgun metagenomes. Functionally important auxiliary metabolic genes involved in carbohydrate, sulfur, and phosphorus metabolism were detected, some of which (e.g., cysH gene) were stably present within viral genomes over time. Over the sampling period, strong and comparable temporal turnovers were observed for intertidal viromes and their host microbes. Winter was determined as the pivotal point for the shifts in viral diversity patterns. Notably, the viral micro-diversity covaried with the macro-diversity, following similar temporal patterns. The relative abundances of viral taxa also covaried with their host prokaryotes. Meanwhile, the virus-host relationships at the whole community level were relatively stable. Further statistical analyses demonstrated that the dynamic patterns of viral communities were highly deterministic, for which temperature was the major driver. This study provided valuable mechanistic insights into the temporal turnover of viral communities in complex ecosystems such as intertidal wetlands.

Indexed as

BiodiversityMetagenomeVirusesWetlandsGenome, ViralMetagenomicsMicrobiotaPhylogenySeasonsVirome

Identifiers

PMID38898104
PMCPMC11186824

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.