Yue Zhu , Jinni Wu

Aquatic Biology Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
International Journal of Molecular Zoology, 2025, Vol. 15, No. 1   doi: 10.5376/ijmz.2025.15.0004
Received: 25 Dec., 2024    Accepted: 01 Feb., 2025    Published: 17 Feb., 2025

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Zhu Y., and Wu J.N., 2025, Advances in artificial breeding and genomic selection of Channa spp., International Journal of Molecular Zoology, 15(1): 29-37 (doi: 10.5376/ijmz.2025.15.0004)

Channa spp., as the major freshwater aquaculture species of China, is endowed with the virtues of rapid growth, strong anti-stress ability, and stable market demand. The past few years have seen wonderful breeding achievements. Traditional artificial breeding methods like phenotypic selection, family selection, hybrid breeding, and sex control measures have all remained at the core of the buildup of preferred traits, yet genetic bottlenecks remain in control of multifarious characteristics. Based on the advancement of genomics, the Channa reference genome has been continuously updated and enhanced, and population structure analysis, transcriptome databases, and SNP marker development have established a profound platform for molecular breeding. Genomic selection (GS), next-generation molecular breeding technology, has improved predictive power for polygenic traits and brought fresh solutions to multi-trait improvement of growth performance, disease resistance, and sex determination in Channa. This article comprehensively describes the genetic resources, artificial breeding equipment, latest advances in genomic studies, and recent applications of GS in Channa breeding and further elaborates on the key issues and future directions. The objective is to provide theoretical support and technical reference to ensure precision and efficiency of Channa spp. molecular breeding.

Channa spp.; Artificial breeding; Genomic selection (GS); Molecular breeding; Genetic resources