Evidence map›Paper›PMID 42610790›Full record

ArticleJournal of phycology2026

Genomic analyses of giant kelp reveal restricted connectivity across the Southern Hemisphere and striking diversity in Aotearoa (New Zealand).

Xiaoyue Pluto Liu, Alana Alexander, Narissa Bax, Donna Bond, Ceridwen I Fraser

Abstract read
In one paragraph

Article in Journal of phycology, 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

5 authors.

Xiaoyue Pluto LiuDepartment of Marine Science, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0002-1625-1053
Alana AlexanderDepartment of Anatomy, University of Otago, Dunedin, New Zealand.
Narissa BaxPinngortitaleriffik, Greenland Institute of Natural Resources, Nuuk, Greenland.
Donna BondDepartment of Anatomy, University of Otago, Dunedin, New Zealand.
Ceridwen I FraserDepartment of Marine Science, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0002-6918-8959

Funding

Marsden Fund MFP-UOO2018Predator Free 2050 LtdRoyal Society Te Apārangi RDF-UOO1803
6 · The paper itself

Abstract

The macroalga Macrocystis pyrifera ("giant" or "bladder" kelp) plays a vital role in cold-temperate marine ecosystems but faces increasing threats from ongoing environmental change. Understanding its population diversity and connectivity is essential for predicting future range shifts and assessing the ecological consequences of such shifts in both present and novel ranges. Here, we used high-resolution genotyping-by-sequencing (GBS) to investigate the population structure of M. pyrifera within and among populations in Aotearoa (New Zealand), Lutruwita (Tasmania), and Falkland Islands/Malvinas. Our results showed New Zealand and Tasmanian populations are more closely related to each other than to those from the Falklands, consistent with isolation by distance. Fine-scale population structure was detected within each of the three regions, especially New Zealand, where we could pinpoint genetically unique populations down to tens of kilometers. Our research provides insights on fine-scaled giant kelp diversity and connectivity patterns across three regions in the Southern Hemisphere, which contrast with previous studies that used traditional genetic markers, and will aid future conservation of this ecologically and economically important taxon.

Indexed as

Genetic VariationKelpMacrocystisNew ZealandTasmaniabiogeographyclimate changegenotyping‐by‐sequencingkelpmacroalgaephylogenySouthern Ocean

Identifiers

PMID42610790
PMCPMC13659370

What OpenQuestion holds

Textmetadata
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.