Evidence map›Paper›PMID 42503433›Full record

ArticleMolecular ecology2026

Demography and Localized Reservoirs of Diversity Underlie Global Divergence in the Giant Kelp Macrocystis pyrifera.

E C Giles, A Zaiko, H G Hampton, P Saenz-Agudelo, M Scriver, D Crossett, A Sim, X B Zhang, T Jedrecka, C O Blain and 8 more

Abstract read
In one paragraph

Article in Molecular ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

18 authors.

E C GilesThe Cawthron Institute, Nelson, New Zealand.ORCID https://orcid.org/0000-0002-3297-3013
A ZaikoSequench Ltd., Nelson, New Zealand.
H G HamptonThe Cawthron Institute, Nelson, New Zealand.
P Saenz-AgudeloThe Cawthron Institute, Nelson, New Zealand.
M ScriverSequench Ltd., Nelson, New Zealand.ORCID https://orcid.org/0000-0002-3717-2864
D CrossettThe Cawthron Institute, Nelson, New Zealand.ORCID https://orcid.org/0000-0001-8555-4157
A SimThe Cawthron Institute, Nelson, New Zealand.
X B ZhangKelp Forest Foundation, Zeist, the Netherlands.ORCID https://orcid.org/0009-0006-2636-3055
T JedreckaNature Metrics Ltd., Guildford, UK.ORCID https://orcid.org/0000-0003-0188-9393
C O BlainInstitute of Marine Science, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-2928-5241
L Rauhina-AugustTaranaki Whānui Ki Te Upoko o Te Ika, Taranaki, New Zealand.
C E CornwallCoastal People Southern Skies Centre of Research Excellence, Otago, New Zealand.ORCID https://orcid.org/0000-0002-6154-4082
H ScharfensteinAustralian National Algae Culture Collection, National Collections and Marine Infrastructure, CSIRO, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0003-3408-2350
A WillisAustralian National Algae Culture Collection, National Collections and Marine Infrastructure, CSIRO, Hobart, Tasmania, Australia.ORCID https://orcid.org/0000-0003-0829-7446
M M ReddyDepartment of Biological Sciences, University of Cape Town, Rondebosch, South Africa.ORCID https://orcid.org/0000-0001-8243-9567
M HammeKelp Line, LLC, Craig, Alaska, USA.
T StephensKelp Line, LLC, Craig, Alaska, USA.ORCID https://orcid.org/0000-0001-6422-1003
X PochonThe Cawthron Institute, Nelson, New Zealand.ORCID https://orcid.org/0000-0001-9510-0407

Funding

The National Philanthropic Trust (NPT)
6 · The paper itself

Abstract

Accurate assessments of genetic diversity are crucial for effective management of natural resources. Numerous evolutionary mechanisms and genetic constraints can shape lineage divergence, challenging our quantification of biodiversity. Here, using whole genome resequencing of globally distributed giant kelp, Macrocystis pyrifera (Order: Laminariales), we show clear separation of genetic groups across the Pacific based on 99 genotyped individuals and 799,160 SNPs. Additionally, divergence across 88 genotyped individuals (53 derived in silico and 35 newly sequenced) considering 5,466,408 SNPs is attributed to both historical demographic processes and differential selection. Between Central California and the South Pacific (Chile, Tasmania, New Zealand), high divergence has occurred with very weak levels of gene flow, with concurrent timing of divergence. In parts of the South Pacific, kelp exhibited nucleotide diversity comparable to Central Californian populations but showed stronger signals of directional selection and excesses of rare alleles, with fewer genes showing signs of negative selection and some carbon-related genes under positive selection. In contrast, Central Californian kelp had an excess of genes with synonymous mutations and showed evidence of a recent population contraction, as indicated by linkage disequilibrium and Tajima's D. In all populations, genome-wide background divergence was paired with narrow genomic intervals of high nucleotide diversity and high linkage disequilibrium, which predominantly contained pervasive repetitive sequences. These repetitive regions were larger and more often shared among genetic groups in the South Pacific. They also appear to harbour genes of unknown function and alleles at intermediate frequency, suggesting that giant kelp maintain reservoirs of diversity within linked repeats, and this phenomenon is more pronounced in South Pacific M. pyrifera. Overall, the discovery of differential selection and structural variation as key drivers of divergence points to underappreciated genomic mechanisms of adaptation in kelp. These results will be useful for informing efforts to enhance climate resilience by identifying the evolutionary potential underlying kelp forest adaptation in the future.

Indexed as

Genetics, PopulationGenetic VariationKelpMacrocystisCaliforniaGene FlowGenotypeLinkage DisequilibriumPacific OceanPolymorphism, Single NucleotideSelection, Geneticadaptive divergencebrown algaegene flowgenomicslinkage disequilibriumMacrocystis pyriferarepetitive elementsspeciation

Identifiers

PMID42503433
PMCPMC13402083

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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.