Evidence map›Paper›PMID 40238790›Full record

ArticlePloS one2025

Genetic diversity of Olive flounder (Paralichthys olivaceus) and the impact of selective breeding on Korean populations.

Euiseo Hong, Hyun-Chul Kim, Jeong-Ho Lee, Woonyoung Jeong, Phuong Thanh N Dinh, Waruni Ekanayake, Jong-Won Park, Minhwan Jeong, Dain Lee, Julan Kim and 3 more

Abstract read
In one paragraph

Article in PloS one, 2025. 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

13 authors.

Euiseo HongDepartment of Bio-Big Data and Precision Agriculture, Chungnam National University, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0003-3078-2560
Hyun-Chul KimGenetics and Breeding Research Center, National Institute of Fisheries Science, Geoje, Republic of Korea.
Jeong-Ho LeeGenetics and Breeding Research Center, National Institute of Fisheries Science, Geoje, Republic of Korea.
Woonyoung JeongDepartment of Bio-Big Data and Precision Agriculture, Chungnam National University, Daejeon, Republic of Korea.ORCID https://orcid.org/0009-0002-7572-1382
Phuong Thanh N DinhDepartment of Bio-AI Convergence, Chungnam National University, Daejeon, Republic of Korea.
Waruni EkanayakeDepartment of Bio-Big Data and Precision Agriculture, Chungnam National University, Daejeon, Republic of Korea.
Jong-Won ParkGenetics and Breeding Research Center, National Institute of Fisheries Science, Geoje, Republic of Korea.
Minhwan JeongGenetics and Breeding Research Center, National Institute of Fisheries Science, Geoje, Republic of Korea.
Dain LeeGenetics and Breeding Research Center, National Institute of Fisheries Science, Geoje, Republic of Korea.
Julan KimGenetics and Breeding Research Center, National Institute of Fisheries Science, Geoje, Republic of Korea.
Yoonsik KimDepartment of Bio-AI Convergence, Chungnam National University, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-5318-7521
Seung Hwan LeeDivision of Animal & Dairy Science, Chungnam National University, Daejeon, Republic of Korea.
Yoonji ChungInstitute of Agricultural Science, Chungnam National University, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-6906-6468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify the population structure and genetic diversity of olive flounder (Paralichthys olivaceus) in Korea and to examine the potential for genetic improvement in aquaculture populations. PCA showed NIFS and FarmA as closely related clusters, while FarmB exhibited moderate differentiation with greater variability. Fst analysis indicated high similarity between NIFS and farmed populations (0.021-0.043) but significant differentiation from wild populations (0.274-0.295). Admixture analysis highlighted a shared ancestral component (over 70%) among NIFS and farmed populations, contrasting with the unique genetic makeup of wild populations. The phylogenetic tree confirmed these patterns, with NIFS and FarmA forming close branches, FarmB showing intermediate placement, and wild populations clustering separately. Additionally, genomic estimated breeding values for body weight showed no significant differences between FarmA and FarmB, while prediction accuracy was higher for FarmA (47%) compared to FarmB (45%), indicating a closer genetic relationship between NIFS and FarmA. These findings emphasize the critical role of selective breeding and gene flow in shaping the genetic structure of farmed populations, offering valuable insights for improving growth traits and maintaining genetic diversity in aquaculture.

Indexed as

FlounderGenetic VariationSelective BreedingAnimalsAquacultureBreedingGenetics, PopulationPhylogenyRepublic of Korea

Identifiers

PMID40238790
PMCPMC12002499

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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.