Evidence map›Paper›PMID 29910220›Full record

ArticleMicrobes and environments2018

Flow Cytometry for Rapid Enumeration and Biomass Quantification of Thraustochytrids in Coastal Seawaters.

Yingbo Duan, Biswarup Sen, Ningdong Xie, James S Paterson, Zixi Chen, Guangyi Wang

Abstract read
In one paragraph

Article in Microbes and environments, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Journal of fungi (Basel, Switzerland) · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

6 authors.

Yingbo DuanCenter for Marine Environmental Ecology, School of Environmental Science and Engineering, Tianjin University.
Biswarup SenCenter for Marine Environmental Ecology, School of Environmental Science and Engineering, Tianjin University.
Ningdong XieCenter for Marine Environmental Ecology, School of Environmental Science and Engineering, Tianjin University.
James S PatersonSchool of Biological Sciences, Flinders University.
Zixi ChenLaboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University.
Guangyi WangCenter for Marine Environmental Ecology, School of Environmental Science and Engineering, Tianjin University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine fungus-like eukaryotic unicellular protists (thraustochytrids) are considered to play an important role in the marine microbial food web. However, their abundance, distribution, and relative biomass in coastal waters have not yet been examined in detail. By using a flow cytometry method (FCM) for the rapid enumeration of thraustochytrids in nearshore and offshore stations along the Gulf of Bohai, China, we herein expanded current knowledge on their ecological significance. The FCM method allows for the rapid detection and quantification of prokaryotic and eukaryotic cells, but is rarely applied to the enumeration of small eukaryotic protists. Epifluorescence microscopy (EpiM) has been commonly used for the direct detection and enumeration of thraustochytrids; however, this method is time-consuming and inapplicable to a large-scale analysis of complex seawater samples. There is no available FCM method to track the abundance and biomass of thraustochytrids in marine habitats. The FCM enumeration of thraustochytrids in seawater samples ranged between 400 and 4,080 cells mL

Indexed as

BiomassFlow CytometryWater MicrobiologyChinaEcosystemEnvironmental MonitoringHeterotrophic ProcessesReproducibility of ResultsSeawaterStramenopilesabundancebacterioplanktonbiomassflow cytometrythraustochytrids

Identifiers

PMID29910220
PMCPMC6031391

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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.