Evidence map›Paper›PMID 38450316›Full record

ArticleEcology and evolution2024

Invasion genomics of lionfish in the Mediterranean Sea.

Giacomo Bernardi, Ernesto Azzurro, Michel Bariche, Carlos Jimenez, Stefanos Kalogirou, Periklis Kleitou

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Giacomo BernardiDepartment of Ecology and Evolutionary Biology University of California Santa Cruz Santa Cruz California USA.ORCID https://orcid.org/0000-0002-8249-4678
Ernesto AzzurroCNR-IRBIM, National Research Council Institute of Biological Resources and Marine Biotechnologies Ancona Italy.
Michel BaricheDepartment of Biology American University of Beirut Beirut Lebanon.
Carlos JimenezEnalia Physis Environmental Research Centre (ENALIA) Nicosia Cyprus.
Stefanos KalogirouHellenic Centre for Marine Research, Institute for Marine Biological Resources and Inland Waters Hydrobiological Station of Rhodes Rhodes Greece.ORCID https://orcid.org/0000-0002-3064-9236
Periklis KleitouMarine & Environmental Research (MER) Lab Limassol Cyprus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rate of biological invasions is steadily increasing, with major ecological and economic impacts accounting for billions of dollars in damage as a result. One spectacular example is the western Atlantic invasion by lionfishes. In the Mediterranean Sea, invasions from the Red Sea via the Suez Canal (termed Lessepsian invasions) comprise more than 100 fish species, including a recent invasion by lionfish. In light of the devastating effects of lionfish in the Caribbean Sea, understanding the dynamics of Mediterranean lionfish invasion is crucial. The Lessepsian lionfish invasion started in 2012, and rapidly spread to the central Mediterranean. Here, we used thousands of RAD seq genomic markers to study the population dynamics of this invasion. While we did not find a reduction in genetic diversity between source (Red Sea) and invasive (Mediterranean) populations (i.e., bottleneck effects), we found evidence of population structure within the invasive range in the Mediterranean Sea. We found that loci that are potentially under selection may play an important role in invasion success (in particular, genes involved in osmoregulation and fin spine sizes). Genomic approaches proved powerful in examining the ecological and evolutionary patterns of successful invaders and may be used as tools to understand and potentially mitigate future invasions.

Indexed as

bioinvasionlessepsian migrantsmediterraneanPterois miles

Identifiers

PMID38450316
PMCPMC10915480

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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.