Evidence map›Paper›PMID 41611790›Full record

ArticleScientific reports2026

Evidence of a genomic basis for growth rate variation in a natural kelp population.

Samuel Starko, Celina Burkholz, Jane M Edgeloe, David Wheeler, Karen Filbee-Dexter, Jacqueline Batley, Antoine J P Minne, Melinda A Coleman, Thomas Wernberg

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. 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

9 authors.

Samuel StarkoSchool of Biological Sciences, UWA Oceans Institute, University of Western Australia, Crawley, WA, Australia. samuel.starko@gmail.com.
Celina BurkholzSchool of Biological Sciences, UWA Oceans Institute, University of Western Australia, Crawley, WA, Australia.
Jane M EdgeloeSchool of Biological Sciences, UWA Oceans Institute, University of Western Australia, Crawley, WA, Australia.
David WheelerDepartment of Primary Industries and Regional Development New South Wales, Coffs Harbour, NSW, Australia.
Karen Filbee-DexterSchool of Biological Sciences, UWA Oceans Institute, University of Western Australia, Crawley, WA, Australia.
Jacqueline BatleySchool of Biological Sciences, University of Western Australia, Crawley, WA, Australia.
Antoine J P MinneSchool of Biological Sciences, UWA Oceans Institute, University of Western Australia, Crawley, WA, Australia.
Melinda A ColemanSchool of Biological Sciences, UWA Oceans Institute, University of Western Australia, Crawley, WA, Australia.
Thomas WernbergSchool of Biological Sciences, UWA Oceans Institute, University of Western Australia, Crawley, WA, Australia. Thomas.wernberg@hi.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the genetic architecture of functional traits can provide key insights into the ecological dynamics and adaptive potential of species. We investigated whether genetic data can predict growth rate variation in a natural population of the widespread kelp, Ecklonia radiata. We tagged kelps and tracked their growth in situ over spring when growth is maximal. Individual kelps were then genotyped using reduced representation sequencing (ddRAD) and we employed multiple approaches to assess whether genetic variation corresponded with growth rate variation. Despite a limited sample size, we found evidence that growth rate can be strongly predicted from genetic variation, with approximately half of the variation in growth rate predicted by only 18 loci (R

Indexed as

KelpGenetic VariationGenomicsGenotypeQuantitative Trait LociddRADGenomic predictionGWASHeritabilityLFMMPolygenic traitsPopulation genomicsReduced representation sequencing

Identifiers

PMID41611790
PMCPMC12913910

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.