Evidence map›Paper›PMID 39496708›Full record

ArticleScientific reports2024

Population genomics informs the management of harvested snappers across north-western Australia.

Samuel D Payet, Jim Underwood, Oliver Berry, Thor Saunders, Michael J Travers, Corey B Wakefield, Karen Miller, Stephen J Newman

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Samuel D Payet *Western Australian Fisheries and Marine Research Laboratories, Department of Primary Industries and Regional Development, Government of Western Australia, 39 Northside Drive, Hillarys, Western Australia, 6025, Australia. samuel.payet@dpird.wa.gov.au.ORCID https://orcid.org/0000-0002-2466-4237
Jim Underwood *Australian Institute of Marine Science, Indian Ocean Marine Research Centre, Level 3, The University of Western Australia, Fairway, Crawley, WA, 6009, Australia.ORCID https://orcid.org/0000-0002-4858-4936
Oliver BerryCSIRO Environomics Future Science Platform, The University of Western Australia, Crawley, WA, 6009, Australia.ORCID https://orcid.org/0000-0001-7545-5083
Thor SaundersDepartment of Primary Industry and Resources, Northern Territory Government, 33 Vaughan St, Berrimah, NT, 0828, Australia.ORCID https://orcid.org/0000-0002-1354-7908
Michael J TraversWestern Australian Fisheries and Marine Research Laboratories, Department of Primary Industries and Regional Development, Government of Western Australia, 39 Northside Drive, Hillarys, Western Australia, 6025, Australia.ORCID https://orcid.org/0000-0002-3072-1699
Corey B WakefieldWestern Australian Fisheries and Marine Research Laboratories, Department of Primary Industries and Regional Development, Government of Western Australia, 39 Northside Drive, Hillarys, Western Australia, 6025, Australia.ORCID https://orcid.org/0000-0001-5435-6473
Karen Miller *Australian Institute of Marine Science, Indian Ocean Marine Research Centre, Level 3, The University of Western Australia, Fairway, Crawley, WA, 6009, Australia.ORCID https://orcid.org/0000-0002-1644-0911
Stephen J Newman *Western Australian Fisheries and Marine Research Laboratories, Department of Primary Industries and Regional Development, Government of Western Australia, 39 Northside Drive, Hillarys, Western Australia, 6025, Australia.ORCID https://orcid.org/0000-0002-5324-5568

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Failure to consider population structure when managing harvested fishes increases the risk of stock depletion, yet empirical estimates of population structure are often lacking for important fishery species. In this study, we characterise genetic variation in single nucleotide polymorphisms (SNPs) to assess population structure for three harvested species of tropical snappers across the broad (up to 300 km wide) and extensive (~ 4000 km) continental shelf of north-western Australia. Comparisons across ~ 300 individuals per species, showed remarkably similar patterns of genetic structure among Lutjanus sebae (red emperor), L. malabaricus (saddletail snapper) and Pristipomoides multidens (goldband snapper) despite subtle differences in biological and ecological traits. Low levels of genetic subdivision were reflected in an isolation by distance relationship where genetic connectivity increased with geographic proximity. This indicates extensive but not unlimited dispersal across the north-western Australian shelf. Our findings provide evidence of connectivity between current management areas, violating the assumption of multiple independent stocks. Spatial stock assessment models may be more suitable for the management of these species however demographic connectivity rates cannot be accurately estimated from the conventional population genetic approaches applied in this study. We recommend that managers aim to maintain adequate spawning biomass across current management areas, and assess stocks at finer scales, where practical.

Indexed as

Genetics, PopulationPolymorphism, Single NucleotideAnimalsAustraliaFisheriesFishesGenetic VariationMetagenomicsPerciformesWestern AustraliaFisheryGeneticsSNPStock identificationStock structure

Identifiers

PMID39496708
PMCPMC11535392

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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.