Development and application of a low-density 10 K liquid SNP array for genetic improvement in large yellow croaker (Larimichthys crocea)
Developing cost-effective and scalable genotyping platforms is essential for expanding germplasm identification and genomic breeding in aquaculture. However, the high cost of genotyping remains a major constraint on the large-scale application of these approaches in large yellow croaker. To address this limitation, we developed a low-density 10 K liquid SNP array, “NingXin-IV”, based on the previously established “NingXin-III” 55 K array. Representative SNPs were selected from haplotype blocks and supplemented with trait-associated loci. The array was further evaluated for germplasm identification, pedigree analysis, sex identification, and genomic selection. The 10 K panel showed excellent genotyping performance, with detection rate and genotype concordance both exceeding 99% and SNPs evenly distributed across the 24 chromosomes, indicating excellent genome-wide representativeness. Population genetic analyses showed that the panel effectively distinguished different populations. Machine learning models based on the 10 K dataset achieved an accuracy of > 0.99 for germplasm identification, with results highly consistent with the 55 K panel. In addition, the array achieved 100% accuracy in parentage assignment, pedigree reconstruction, and sex prediction. After genotype imputation, the 10 K panel retained genomic prediction performance close to that of the 55 K panel, although the absolute predictive ability of both datasets was moderate. Imputation accuracy ranged from 0.817 to 0.964, with an 86.21%–87.93% overlap with the 55 K panel among the top 10% of GEBV-ranked individuals. Overall, “NingXin-IV” provides an efficient and cost-effective tool for germplasm evaluation, parentage verification, breeding strain management, and large-scale genomic selection breeding in large yellow croaker, and serves as a useful reference for the development of low-density genotyping platforms in other aquaculture species.
Authors
- Junjia Zeng (ORCID: https://orcid.org/0009-0002-4536-6666)
- Qiaozhen Ke (ORCID: https://orcid.org/0000-0002-5090-6949)
- Fei Pu (ORCID: https://orcid.org/0000-0002-7472-7638)
- Jiaying Wang (ORCID: https://orcid.org/0000-0002-9720-6181)
- Peng Xu (ORCID: https://orcid.org/0000-0002-1531-5078)
- Ji Zhao
- Pengxin Jiang
- Ning Li
- Tao Zhou
- Huasong Weng
- Yin Li
Institutions
- Jimei University (CN)
- Xiamen University (CN)
- Zhejiang Institute of Freshwater Fisheries (CN)
- Ningde Normal University (CN)
- Shanghai Ocean University (CN)
- Chinese Academy of Fishery Sciences (CN)
Publication Details
- Journal
- BMC Genomics
- Published
- 2026-09-25
- DOI
- https://doi.org/10.1186/s12864-026-13387-2
- Primary Topic
- Genetic diversity and population structure
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Fund for Distinguished Young Scholars