Evidence map›Paper›PMID 38193708›Full record

ArticlemSystems2024

Virus-prokaryote infection pairs associated with prokaryotic production in a freshwater lake.

Shang Shen, Kento Tominaga, Kenji Tsuchiya, Tomonari Matsuda, Takashi Yoshida, Yoshihisa Shimizu

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.2field-weighted citation impact, top 10% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Shang ShenResearch Center for Environmental Quality Management, Kyoto University, Otsu, Shiga, Japan.ORCID 0000-0002-4293-8967
Kento TominagaGraduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.ORCID 0000-0003-4814-5690
Kenji TsuchiyaRegional Environment Conservation Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.
Tomonari MatsudaResearch Center for Environmental Quality Management, Kyoto University, Otsu, Shiga, Japan.
Takashi YoshidaGraduate School of Agriculture, Kyoto University, Kitashirakawa-Oiwake, Sakyo-ku, Kyoto, Japan.
Yoshihisa ShimizuResearch Center for Environmental Quality Management, Kyoto University, Otsu, Shiga, Japan.
Kyoto University · JPNational Institute for Environmental Studies · JPRitsumeikan University · JPThe University of Tokyo · JP

Funding

Kurita Water and Environment Foundation (KWEF) 19B045MEXT | Japan Society for the Promotion of Science (JSPS) 19J14985, 22K14351, 22J01607MEXT | Japan Society for the Promotion of Science (JSPS) 20H04323MEXT | Japan Society for the Promotion of Science (JSPS) 20K12140MEXT | Japan Society for the Promotion of Science (JSPS) 21H05057
6 · The paper itself

Abstract

Viruses infect and kill prokaryotic populations in a density- or frequency-dependent manner and affect carbon cycling. However, the effects of the stratification transition, including the stratified and de-stratified periods, on the changes in prokaryotic and viral communities and their interactions remain unclear. We conducted a monthly survey of the surface and deep layers of a large and deep freshwater lake (Lake Biwa, Japan) for a year and analyzed the prokaryotic production and prokaryotic and viral community composition. Our analysis revealed that, in the surface layer, 19 prokaryotic species, accounting for approximately 40% of the total prokaryotic abundance, could potentially contribute to the majority of prokaryotic production, which is the highest during the summer and is suppressed by viruses. This suggests that a small fraction of prokaryotes and phages were the key infection pairs during the peak period of prokaryotic activity in the freshwater lake. We also found that approximately 50% of the dominant prokaryotic and viral species in the deep layer were present throughout the study period. This suggests that the "kill the winner" model could explain the viral impact on prokaryotes in the surface layer, but other dynamics may be at play in the deep layer. Furthermore, we found that annual vertical mixing could result in a similar rate of community change between the surface and deep layers. These findings may be valuable in understanding how communities and the interaction among them change when freshwater lake stratification is affected by global warming in the future.IMPORTANCEViral infection associated with prokaryotic production occurs in a density- or frequency-dependent manner and regulates the prokaryotic community. Stratification transition and annual vertical mixing in freshwater lakes are known to affect the prokaryotic community and the interaction between prokaryotes and viruses. By pairing measurements of virome analysis and prokaryotic production of a 1-year survey of the depths of surface and deep layers, we revealed (i) the prokaryotic infection pairs associated with prokaryotic production and (ii) the reset in prokaryotic and viral communities through annual vertical mixing in a freshwater lake. Our results provide a basis for future work into changes in stratification that may impact the biogeochemical cycling in freshwater lakes.

Indexed as

BacteriophagesVirusesJapanLakesProkaryotic Cellsfreshwater lakesinfection pairsprokaryotesprokaryotic productionvertical mixingviruses

Identifiers

PMID38193708
PMCPMC10878036
OpenAlexW4390768154

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.