Evidence map›Paper›PMID 33727395›Full record

ArticlemSystems2021

Uncultivated Viral Populations Dominate Estuarine Viromes on the Spatiotemporal Scale.

Mengqi Sun, Yuanchao Zhan, David Marsan, David Páez-Espino, Lanlan Cai, Feng Chen

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 25 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 3 institutions in 2 countries.

Mengqi SunInstitute of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-5285-5949
Yuanchao ZhanInstitute of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Baltimore, Maryland, USA.
David MarsanInstitute of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Baltimore, Maryland, USA.
David Páez-EspinoDepartment of Energy, Joint Genome Institute, Berkeley, California, USA.
Lanlan CaiState Key Laboratory of Marine Environmental Science, Institute of Marine Microbes and Ecospheres, Xiamen University (Xiang'an), Xiamen, China.
Feng ChenInstitute of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Baltimore, Maryland, USA chenf@umces.edu.ORCID https://orcid.org/0000-0002-6064-7805
University of Maryland, Baltimore · USJoint Genome Institute · USXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses are ubiquitous and abundant in the oceans, and viral metagenomes (viromes) have been investigated extensively via several large-scale ocean sequencing projects. However, there have not been any systematic viromic studies in estuaries. Here, we investigated the viromes of the Delaware Bay and Chesapeake Bay, two Mid-Atlantic estuaries. Deep sequencing generated a total of 48,190 assembled viral sequences (>5 kb) and 26,487 viral populations (9,204 virus clusters and 17,845 singletons), including 319 circular viral contigs between 7.5 kb and 161.8 kb. Unknown viruses represented the vast majority of the dominant populations, while the composition of known viruses, such as pelagiphage and cyanophage, appeared to be relatively consistent across a wide range of salinity gradients and in different seasons. A difference between estuarine and ocean viromes was reflected by the proportions of

Indexed as

Chesapeake BayDelaware Bayestuarineestuarine ecosystemhigh-throughput sequencingmetagenomicsmicrobial ecologyviral communityviral populationsvirioplanktonvirome

Identifiers

PMID33727395
PMCPMC8546989
OpenAlexW3138766339

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.