Development and Applications of a 1K SNP Panel for Whiteleg Shrimp: From Pedigree Reconstruction to Genomic Selection

Litopenaeus vannamei, the most widely farmed crustacean, relies on family-based selection where accurate pedigree information is essential. Although SNP-based tools offer high-accuracy pedigree assignment, adoption in commercial breeding remains limited. In this study, we developed a commercially viable 1K SNP panel with 1125 markers. Markers were selected from a 55K SNP dataset comprising 2330 individuals. We established a practical pedigree reconstruction workflow and implemented the panel in a field breeding population. The population included a selection group where families were reared separately and a test group where individuals were communally reared. We introduced anchor individuals from the selection group to enable pedigree linkage. All 1818 individuals from 72 families were accurately assigned. Family reconstruction achieved 100% consistency with known records, even when parents were partially missing. Heritability estimates for harvest weight ranged from 0.32 to 0.36 using pedigree-based BLUP (PBLUP), genomic BLUP (GBLUP), and single-step genomic BLUP (ssGBLUP). The ssGBLUP model, using a 0.15 to 0.85 weighting of G and A, achieved 6.67% and 19.40% higher accuracy than PBLUP and GBLUP. The panel also supported population structure analysis and diversity monitoring, demonstrating its value for genomic evaluation in commercial L. vannamei breeding.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-05-22
DOI
https://doi.org/10.3390/ijms27114665
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Applications of a 1K SNP Panel for Whiteleg Shrimp: From Pedigree Reconstruction to Genomic Selection

S Zhang, Mianyu Liu, Baolong Chen, Guangfeng Qiang et al.
International Journal of Molecular Sciences
Genetic diversity and population structure
article

Development and Applications of a 1K SNP Panel for Whiteleg Shrimp: From Pedigree Reconstruction to Genomic Selection

S Zhang, Mianyu Liu, Baolong Chen, Guangfeng Qiang, Xiang Zou, Sheng Luan, Junyu Liu, Qiang Fu, Xianhong Meng, Jie Kong, Ping Dai, Ping Wang, Kun Luo
article en

Abstract

Litopenaeus vannamei, the most widely farmed crustacean, relies on family-based selection where accurate pedigree information is essential. Although SNP-based tools offer high-accuracy pedigree assignment, adoption in commercial breeding remains limited. In this study, we developed a commercially viable 1K SNP panel with 1125 markers. Markers were selected from a 55K SNP dataset comprising 2330 individuals. We established a practical pedigree reconstruction workflow and implemented the panel in a field breeding population. The population included a selection group where families were reared separately and a test group where individuals were communally reared. We introduced anchor individuals from the selection group to enable pedigree linkage. All 1818 individuals from 72 families were accurately assigned. Family reconstruction achieved 100% consistency with known records, even when parents were partially missing. Heritability estimates for harvest weight ranged from 0.32 to 0.36 using pedigree-based BLUP (PBLUP), genomic BLUP (GBLUP), and single-step genomic BLUP (ssGBLUP). The ssGBLUP model, using a 0.15 to 0.85 weighting of G and A, achieved 6.67% and 19.40% higher accuracy than PBLUP and GBLUP. The panel also supported population structure analysis and diversity monitoring, demonstrating its value for genomic evaluation in commercial L. vannamei breeding.

International Journal of Molecular SciencesVol. 27(11)
Qingdao National Laboratory for Marine Science and Technology (CN), Sanya University (CN), Chinese Academy of Fishery Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 5%
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.