Evidence map›Paper›PMID 37073396›Full record

ReviewMarine life science & technology2021

Planktonic microbial eukaryotes in polar surface waters: recent advances in high-throughput sequencing.

Qian Liu, Qiannan Zhao, Andrew McMinn, Eun Jin Yang, Yong Jiang

Abstract readReview
In one paragraph

Review in Marine life science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  9. Phylogeny of the anaerobic ciliate genusMarine life science & technology · 2022
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  16. Research on Cancer Molecular Typing Based on High-Throughput Sequencing Technology.Computational and mathematical methods in medicine · 2021
    Article
  17. Integrative Studies on a New CiliateFrontiers in microbiology · 2021
    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

5 authors.

Qian LiuInstitute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003 China.
Qiannan ZhaoInstitute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003 China.
Andrew McMinnInstitute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003 China.
Eun Jin YangDivision of Polar Ocean Environment, Korea Polar Research Institute, 213-3 Songdo-dong, Yeonsu-gu, Incheon, 406-840 Korea.
Yong JiangInstitute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine microbial eukaryotes are important primary producers and play critical roles in key biogeochemical cycles. Recent advances in sequencing technology have focused attention on the extent of microbial biodiversity, revealing a huge, previously underestimated phylogenetic diversity with many new lineages. This technology has now become the most important tool to understand the ecological significance of this huge and novel diversity in polar oceans. In particular, high-throughput sequencing technologies have been successfully applied to enumerate and compare marine microbial diversity in polar environments. Here, a brief overview of polar microbial eukaryote diversity, as revealed by in-situ surveys of the high-throughput sequencing on 18S rRNA gene, is presented. Using these 'omic' approaches, further attention still needs to be focused on differences between specific locations and/or entire polar oceans and on bipolar comparisons of diversity and distribution.

Indexed as

BipolarHigh-throughput sequencingMarine microbial eukaryotesMolecular surveys

Identifiers

PMID37073396
PMCPMC10064379

What OpenQuestion holds

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Read underepoch 390

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.