Evidence map›Paper›PMID 34721350›Full record

ArticleFrontiers in microbiology2021

Lipid Remodeling Reveals the Adaptations of a Marine Diatom to Ocean Acidification.

Peng Jin, Zhe Liang, Hua Lu, Jinmei Pan, Peiyuan Li, Quanting Huang, Yingyan Guo, Jiahui Zhong, Futian Li, Jiaofeng Wan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 18 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

12 authors at 2 institutions in 2 countries.

Peng JinSchool of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.
Zhe LiangSchool of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.
Hua LuSchool of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.
Jinmei PanSchool of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.
Peiyuan LiSchool of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.
Quanting HuangSchool of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.
Yingyan GuoSchool of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.
Jiahui ZhongSchool of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.
Futian LiJiangsu Key Laboratory of Marine Bioresources and Environment, Jiangsu Ocean University, Lianyungang, China.
Jiaofeng WanSchool of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.
Sebastian OvermansKing Abdullah University of Science and Technology (KAUST), Biological and Environmental Sciences and Engineering Division (BESE), Thuwal, Saudi Arabia.
Jianrong XiaSchool of Environmental Science and Engineering, Guangzhou University, Guangzhou, China.
Guangzhou University · CNKing Abdullah University of Science and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ocean acidification is recognized as a major anthropogenic perturbation of the modern ocean. While extensive studies have been carried out to explore the short-term physiological responses of phytoplankton to ocean acidification, little is known about their lipidomic responses after a long-term ocean acidification adaptation. Here we perform the lipidomic analysis of a marine diatom

Indexed as

adaptationdiatomsfood qualitylipidomicsocean acidification

Identifiers

PMID34721350
PMCPMC8551959
OpenAlexW3207181175

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.