1. Jiangxi Aquatic Animal Resources and Utilization Key Laboratory, School of Life Sciences, Nanchang University, Nanchang 330031, China; 2. Jinggangshan Agricultural Science and Technology Park, Ji'an 343000, China; 3. Jinggangshan Zhulaozong Cold Water Fish Specialized Breeding Cooperative, Ji'an 343000, China
Abstract：In order to study the effect of culture density on growth of rainbow trout Oncorhynchus mykiss, the growth performance and muscle transcriptome of rainbow trout under high density (6.99 kg/m3), med-density (4.66 kg/m3) and low density (2.33 kg/m3) culture conditions were compared and analyzed, respectively. The results showed that after 32 days of breeding, the final quality and other growth-related indices were higher in low density group than those in med-density group and high density group. For each sample, the effective data of transcriptome all reached 5.99 Gb, and the comparison efficiency ranged from 91.67 to 92.77%. A total of 5501 new genes were discovered, of which 4121 were annotated and 1380 were not annotated. 2760, 654 and 2316 differentially expressed genes (DEGs) were obtained in low density group vs high density group, low density group vs med-density group, and med-density group vs high density group, respectively. Their biological processes and cell components were enriched in DNA integration, DNA-mediated translocation and folding. The molecular functions were mainly enriched in the structural composition of cytoskeleton (for the DEGs of low density group vs high density group, med-density group vs high density group and DNA binding and oxidoreductase activity acting on paired donor binding or recombination (for the DEGs in low density. group vs medium density group). 920, 196 and 743 DEGs are located in 212, 112 and 189 specific metabolic pathways respectively. Furthermore, 19 gene sequences related to growth and stress were obtained by artificial screening. The results showed that the culture density had a significant effect on the growth of rainbow trout and the expression of related genes.
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2023, Vol. 42 
