Evidence map›Paper›PMID 33976808›Full record

ArticleEcology and evolution2021

Local environment-driven adaptive evolution in a marine invasive ascidian (

Yiyong Chen, Yangchun Gao, Xuena Huang, Shiguo Li, Aibin Zhan

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Genomic investigations of successful invasions: the picture emerging from recent studies.Biological reviews of the Cambridge Philosophical Society · 2025
    Pooled it
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  4. Genomic Signatures of Adaptive Evolution inInternational journal of molecular sciences · 2025
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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

5 authors at 1 institution in 1 country.

Yiyong ChenResearch Center for Eco-Environmental Sciences Chinese Academy of Sciences Haidian District Beijing China.ORCID https://orcid.org/0000-0002-8285-6472
Yangchun GaoResearch Center for Eco-Environmental Sciences Chinese Academy of Sciences Haidian District Beijing China.
Xuena HuangResearch Center for Eco-Environmental Sciences Chinese Academy of Sciences Haidian District Beijing China.ORCID https://orcid.org/0000-0002-1517-7496
Shiguo LiResearch Center for Eco-Environmental Sciences Chinese Academy of Sciences Haidian District Beijing China.
Aibin ZhanResearch Center for Eco-Environmental Sciences Chinese Academy of Sciences Haidian District Beijing China.ORCID https://orcid.org/0000-0003-1416-1238
Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elucidating molecular mechanisms of environment-driven adaptive evolution in marine invaders is crucial for understanding invasion success and further predicting their future invasions. Although increasing evidence suggests that adaptive evolution could contribute to organisms' adaptation to varied environments, there remain knowledge gaps regarding how environments influence genomic variation in invaded habitats and genetic bases underlying local adaptation for most marine invaders. Here, we performed restriction-site-associated DNA sequencing (RADseq) to assess population genetic diversity and further investigate genomic signatures of local adaptation in the marine invasive ascidian,

Indexed as

adaptive evolutionbiological invasionpopulation genomicsRADseqsalinity adaptation

Identifiers

PMID33976808
PMCPMC8093682
OpenAlexW3135710517

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.