Analysis of population structure and selection signatures for artificial domestication of rock bream (Oplegnathus fasciatus) in coastal China

Domestication represents a powerful model for exploring genetic differentiation and the evolutionary dynamics of adaptation. In this study, we investigated selection signatures across the whole genome of rock bream ( Oplegnathus fasciatus ) to explore its evolutionary and domestication history. Whole-genome resequencing was performed on 75 individuals from six wild populations and one domesticated group. Selection signatures were identified using genetic differentiation coefficient ( F st ), nucleotide diversity (Pi), and minimum allele frequency difference (Maf). Principal component analysis, population structure analysis, and linkage disequilibrium decay analysis were conducted to assess genetic divergence between wild and cultured populations. The analyses revealed indicated significant differences in genetic structure between the wild and domesticated populations, while no such differences were observed among the six wild populations. A total of 80 candidate genes under selection were identified, including those associated with behavior ( rcan1 , meis2 ), skeletal development and growth ( casr ), immunity ( camk4 ), and energy metabolism ( pdk2 ). These findings shed light on the molecular mechanisms underlying rock bream domestication and provide valuable genomic resources for future selective breeding programs.

Institutions

Publication Details

Journal
Reproduction and Breeding
Published
2025-11-21
DOI
https://doi.org/10.1016/j.repbre.2025.11.002
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of population structure and selection signatures for artificial domestication of rock bream (Oplegnathus fasciatus) in coastal China

Reproduction and Breeding
Genetic diversity and population structure
article

Analysis of population structure and selection signatures for artificial domestication of rock bream (Oplegnathus fasciatus) in coastal China

article en

Abstract

Domestication represents a powerful model for exploring genetic differentiation and the evolutionary dynamics of adaptation. In this study, we investigated selection signatures across the whole genome of rock bream ( Oplegnathus fasciatus ) to explore its evolutionary and domestication history. Whole-genome resequencing was performed on 75 individuals from six wild populations and one domesticated group. Selection signatures were identified using genetic differentiation coefficient ( F st ), nucleotide diversity (Pi), and minimum allele frequency difference (Maf). Principal component analysis, population structure analysis, and linkage disequilibrium decay analysis were conducted to assess genetic divergence between wild and cultured populations. The analyses revealed indicated significant differences in genetic structure between the wild and domesticated populations, while no such differences were observed among the six wild populations. A total of 80 candidate genes under selection were identified, including those associated with behavior ( rcan1 , meis2 ), skeletal development and growth ( casr ), immunity ( camk4 ), and energy metabolism ( pdk2 ). These findings shed light on the molecular mechanisms underlying rock bream domestication and provide valuable genomic resources for future selective breeding programs.

Reproduction and BreedingVol. 5(4)
Xiamen University (CN), Fujian Fisheries Research Institute (CN)
Life below water
Openalex Percentile: Top 31%
Genetic diversity and population structure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.