Evidence map›Paper›PMID 40489606›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Eradication efforts catalyze rapid evolution in an invasive predatory fish.

Liam J Zarri, Clifford E Kraft, Peter B McIntyre, Diana S Baetscher, Kurt J Jirka, Eileen A Randall, Benjamin Marcy-Quay, Carl A St John, Suresh A Sethi, Montana E Airey and 3 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. 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

13 authors.

Liam J ZarriDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, NY 14853.ORCID 0000-0001-8782-6048
Clifford E KraftDepartment of Natural Resources and the Environment, Cornell University, Ithaca, New York, NY 14853.ORCID 0000-0002-6690-6169
Peter B McIntyreDepartment of Natural Resources and the Environment, Cornell University, Ithaca, New York, NY 14853.ORCID 0000-0003-1809-7552
Diana S BaetscherNational Oceanic and Atmospheric Administration, Alaska Fisheries Science Center, Auke Bay Laboratories, Juneau, AK 99801.ORCID 0000-0001-5152-2560
Kurt J JirkaDepartment of Natural Resources and the Environment, Cornell University, Ithaca, New York, NY 14853.ORCID 0009-0008-6751-3296
Eileen A RandallDepartment of Natural Resources and the Environment, Cornell University, Ithaca, New York, NY 14853.
Benjamin Marcy-QuayUnited States Geological Survey, Great Lakes Science Center, Hammond Bay Biological Station, Millersburg, MI 49759.ORCID 0000-0001-6141-9719
Carl A St JohnDepartment of Natural Resources and the Environment, Cornell University, Ithaca, New York, NY 14853.
Suresh A SethiAquatic Research and Environmental Assessment Center, Department of Earth and Environmental Science, Brooklyn College, New York, NY 11210.
Montana E AireyDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, NY 14853.ORCID 0000-0002-6467-4966
Thomas M DetmerDepartment of Natural Resources and the Environment, Cornell University, Ithaca, New York, NY 14853.ORCID 0000-0003-4525-5253
Alexander S FleckerDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, NY 14853.ORCID 0000-0002-4636-2109
Nina O TherkildsenDepartment of Natural Resources and the Environment, Cornell University, Ithaca, New York, NY 14853.ORCID 0000-0002-6591-591X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species invasions spur costly and labor-intensive control efforts, yet even local eradication is seldom achieved. When control measures are initially effective, they may drive evolutionary adaptation that prevents full eradication, as has been documented for some chemical and biocontrol approaches. Although the intensity, directionality, and persistence of selection required to increase the frequency of resistant genotypes in complex natural ecosystems remains an open question, theory predicts that high mortality can cause life-history evolution even in the absence of a strong selective agent. Here, we use annually collected ecological and genetic data to show that rapid evolution of introduced smallmouth bass has undermined a 20-y manual suppression effort in a mid-sized lake. Despite nearly doubling annual mortality, our intensive control program produced a larger bass population dominated by young and early-maturing fish. These shifts were accompanied by large allele frequency changes in three genomic regions associated with earlier maturation and increased somatic growth. Our findings bear out the theoretical prediction that high mortality can drive evolutionary adaptation in target species. Controlling species invasions are worldwide practices that typically remove a substantial proportion of a population during each of many successive generations, hence life history adaptation may be commonplace. Such evolutionary responses could be salient in explaining the widespread failure of invasion control efforts. Genetic and phenotypic monitoring to detect cryptic adaptation and preemptive design of invader eradication programs to deliberately disrupt directional selection for resistance could improve invasion control outcomes.

Indexed as

BassBiological EvolutionIntroduced SpeciesPredatory BehaviorAnimalsEcosystemGene FrequencyLakesconservationfreshwater ecologyinvasive species suppressionmolecular ecologysmallmouth bass

Identifiers

PMID40489606
PMCPMC12184416

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.