Related Experiment Video
Updated: Sep 18, 2025
Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish
Published on: October 27, 2017
Integrative QTL Mapping and Transcriptomic Profiling to Identify Growth-Associated QTL and Candidate Genes in Hong
Yian Zhu1, Dayan Zhou2, Yijun Shen1
1Guangdong Research Center on Reproductive Control and Breeding Technology of Indigenous Valuable Fish Species, Guangdong Provincial Engineering Laboratory for Mariculture Organism Breeding, Guangdong Provincial Key Laboratory of Aquatic Animal Disease Control and Healthy Culture, Fisheries College, Guangdong Ocean University, Zhanjiang 524088, China.
This study identified candidate genes for growth in C. fuscus by combining QTL mapping and RNA-seq. Key genes like myostatin were found, aiding future genetic selection for aquaculture.
Area of Science:
- Aquaculture genetics
- Fish growth biology
- Genomic analysis
Background:
- Growth traits are crucial for aquaculture economics.
- Understanding genetic regulation of growth is vital for selective breeding.
Purpose of the Study:
- Identify candidate genes associated with growth traits in C. fuscus.
- Integrate quantitative trait loci (QTL) mapping and RNA-sequencing (RNA-seq) data.
- Provide insights for genetic selection strategies in aquaculture.
Main Methods:
- Performed QTL mapping for eight growth traits in 200 C. fuscus individuals.
- Conducted RNA-seq analysis to identify differentially expressed genes (DEGs) between extreme body size groups.
- Integrated QTL and DEG data to pinpoint candidate growth-related genes.
Main Results:
- Identified 17 growth-related QTL explaining 8.00%–11.90% of phenotypic variance.
- Detected 3824 DEGs between big-sized and small-sized groups.
- Pinpointed 27 candidate genes, including myostatin (mstnb), epidermal growth factor receptor (egfr), and sarcoplasmic/endoplasmic reticulum calcium ATPase 1 (serca1).
Conclusions:
- The study identified key candidate genes regulating growth in C. fuscus.
- Findings offer a foundation for developing targeted genetic selection strategies to enhance aquaculture productivity.
- This integrated genomic approach advances understanding of fish growth mechanisms.
