Evidence map›Paper›PMID 32157147›Full record

ArticleScientific reports2020

Temperature-dependent competitive advantages of an allelopathic alga over non-allelopathic alga are altered by pollutants and initial algal abundance levels.

Yongeun Kim, Jino Son, Yun-Sik Lee, June Wee, Minyoung Lee, Kijong Cho

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yongeun KimOjeong Resilience Institute, Korea University, Seoul, 02841, Republic of Korea.
Jino SonOjeong Resilience Institute, Korea University, Seoul, 02841, Republic of Korea.
Yun-Sik LeeOjeong Resilience Institute, Korea University, Seoul, 02841, Republic of Korea.
June WeeDepartment of Environmental Science and Ecological Engineering, Korea University, Seoul, 02841, Republic of Korea.
Minyoung LeeDepartment of Environmental Science and Ecological Engineering, Korea University, Seoul, 02841, Republic of Korea.
Kijong ChoDepartment of Environmental Science and Ecological Engineering, Korea University, Seoul, 02841, Republic of Korea. kjcho@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of climate warming, the dominance of allelopathic algae that cause ecosystem disturbances is an important topic. Although the hypothesis that an increase in temperature will be favorable to the dominance of allelopathic algae has been increasingly supported by many studies, it is still unclear how other factors can affect the influence of temperature. In this study, the effects of copper exposure and initial algal abundance on the competition between Pseudokirchneriella subcapitata (non-allelopathic alga) and Chlorella vulgaris (allelopathic alga) were investigated during temperature changes. The results showed that increased temperatures enhanced the competitive advantage of C. vulgaris only in the absence of copper exposure. Our data confirmed that copper exposure along with increased temperature (20-30 °C) may change the competitive advantage of C. vulgaris from favorable to unfavorable. The initial algal abundance was found to affect competition outcome by controlling copper toxicity. This study suggests that pollutants and initial abundance can alter the effects of increased temperature on the allelopathic interaction. Given the temporal dynamics of algal abundance and the pollutants in natural ecosystems, these findings should be considered in the prediction of temperature influence on an algal community.

Indexed as

AllelopathyChlorella vulgarisChlorophyceaeCopperEcosystemGlobal WarmingSoil PollutantsTemperatureCopperSoil Pollutants

Identifiers

PMID32157147
PMCPMC7064544

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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.