Evidence map›Paper›PMID 40365168›Full record

ArticleEvolutionary applications2025

A Multipurpose Microhaplotype Panel for Genetic Analysis of California Chinook Salmon.

Eric C Anderson, Anthony J Clemento, Matthew A Campbell, Devon E Pearse, Anne K Beulke, Cassie Columbus, Ellen Campbell, Neil F Thompson, John Carlos Garza

Abstract read
In one paragraph

Article in Evolutionary applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Standardized microhaplotype databases and frameworks for assessing and mining crop genetic diversity.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  3. Article
  4. Article
  5. 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.

Eric C AndersonSouthwest Fisheries Science Center National Marine Fisheries Service, NOAA Santa Cruz California USA.ORCID https://orcid.org/0000-0003-1326-0840
Anthony J ClementoSouthwest Fisheries Science Center National Marine Fisheries Service, NOAA Santa Cruz California USA.ORCID https://orcid.org/0000-0003-3598-7151
Matthew A CampbellSouthwest Fisheries Science Center National Marine Fisheries Service, NOAA Santa Cruz California USA.ORCID https://orcid.org/0000-0002-5826-0329
Devon E PearseSouthwest Fisheries Science Center National Marine Fisheries Service, NOAA Santa Cruz California USA.ORCID https://orcid.org/0000-0003-1934-6493
Anne K BeulkeSouthwest Fisheries Science Center National Marine Fisheries Service, NOAA Santa Cruz California USA.ORCID https://orcid.org/0000-0001-8754-7217
Cassie ColumbusSouthwest Fisheries Science Center National Marine Fisheries Service, NOAA Santa Cruz California USA.
Ellen CampbellSouthwest Fisheries Science Center National Marine Fisheries Service, NOAA Santa Cruz California USA.
Neil F ThompsonSouthwest Fisheries Science Center National Marine Fisheries Service, NOAA Santa Cruz California USA.
John Carlos GarzaSouthwest Fisheries Science Center National Marine Fisheries Service, NOAA Santa Cruz California USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic methods have become an essential component of ecological investigation and conservation planning for fish and wildlife. Among these methods is the use of genetic marker data to identify individuals to populations, or stocks, of origin. More recently, methods that involve genetic pedigree reconstruction to identify relationships between individuals within populations have also become common. We present here a novel set of multiallelic microhaplotype genetic markers for Chinook salmon, which provide excellent resolution for population discrimination and relationship identification from a rapidly and economically assayed panel of markers. We show how this set of genetic markers assayed by sequencing 204 amplicons, in tandem with a reference dataset of 1636 individual samples from 17 populations, provides definitive power to identify all known lineages of Chinook salmon in California. The inclusion of genetic loci that have known associations with phenotype and that were identified as outliers in examination of whole-genome sequence data allows resolution of stocks that are not highly genetically differentiated but are phenotypically distinct and managed as such. This same set of multiallelic genetic markers has ample variation to accurately identify parent-offspring and full-sibling pairs in all California populations, including the genetically depauperate winter-run lineage. Validation of this marker panel in coastal salmon populations not previously studied with modern genetic methods also reveals novel biological insights, including the presence of a single copy of a haplotype for a phenotype that has not been documented in that part of the species range, and a clear signal of mixed ancestry for a salmon population that is on the geographic margins of the primary evolutionary lineages present in California.

Indexed as

amplicon sequencinggenetic stock identficationparentage‐based taggingpopulation assignment

Identifiers

PMID40365168
PMCPMC12070256

What Socratic holds

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Registered trials

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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 Socratic graph.