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First High-Density Linkage Map and QTL Fine Mapping for Growth-Related Traits of Spotted Sea bass (Lateolabrax maculatus)

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Abstract

Possessing powerful adaptive capacity and a pleasant taste, spotted sea bass (Lateolabrax maculatus) has a broad natural distribution and is one of the most popular mariculture fish in China. However, the genetic improvement program for this fish is still in its infancy. Growth is the most economically important trait and is controlled by quantitative trait loci (QTL); thus, the identification of QTLs and genetic markers for growth-related traits is an essential step for the establishment of marker-assisted selection (MAS) breeding programs. In this study, we report the first high-density linkage map of spotted sea bass constructed by sequencing 333 F1 generation individuals in a full-sib family using 2b-RAD technology. A total of 6883 SNP markers were anchored onto 24 linkage groups, spanning 2189.96 cM with an average marker interval of 0.33 cM. Twenty-four growth-related QTLs, including 13 QTLs for body weight and 11 QTLs for body length, were successfully detected, with phenotypic variance explained (PVE) ranging from 5.1 to 8.6%. Thirty potential candidate growth-related genes surrounding the associated SNPs were involved in cell adhesion, cell proliferation, cytoskeleton reorganization, calcium channels, and neuromodulation. Notably, the fgfr4 gene was detected in the most significant QTL; this gene plays a pivotal role in myogenesis and bone growth. The results of this study may facilitate marker-assisted selection for breeding populations and establish the foundation for further genomic and genetic studies investigating spotted sea bass.

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Data Availability

The sequencing data of this study are deposited in NCBI Sequence Read Archive (SRA) with Accession Number PRJNA580292.

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Acknowledgments

We thank Luoluo Chen, Shuxian Wu, Yangyang Zhou, and Bingyu Li for sample collection.

Funding

This project was supported by the National Key R&D Program of China (2018YFD0900101) and the China Agriculture Research System (CARS-47).

Author information

Authors and Affiliations

Authors

Contributions

Yang Liu and Haolong Wang contribute equally as first authors. Yun Li, Haishen Wen, Qingli Gong, and Xin Qi conceived and supervised the study. Meizhao Zhang, Jifang Li, Feng He, and Kaiqiang Zhang worked on the mapping family construction. Yang Liu, Haolong Wang, and Yanbo Hu collected samples. Yang Liu, Haolong Wang, and Yue Shi performed the analysis and designed the charts and tables. Yang Liu wrote the manuscript. Yun Li revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yun Li.

Ethics declarations

All experimental procedures involving the fish were conducted in accordance with approved guidelines of the respective Animal Research and Ethics Committees of Ocean University of China (Permit Number: 20141201). The present study did not include endangered or protected species.

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The authors declare that they have no conflicts of interest.

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Liu, Y., Wang, H., Wen, H. et al. First High-Density Linkage Map and QTL Fine Mapping for Growth-Related Traits of Spotted Sea bass (Lateolabrax maculatus). Mar Biotechnol 22, 526–538 (2020). https://doi.org/10.1007/s10126-020-09973-4

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