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Abstract Resveratrol has been reported to promote immunity and decrease oxidative stress, but which demonstrates biphasic effects relied on the use concentration. In this study, the effects of diet supplement with a relative high concentration of resveratrol (0.32 mg/kg) on metabolism, antioxidation and apoptosis of liver were investigated in Siberian sturgeon. The results showed that resveratrol significantly increased the lipid synthesis and the apoptosis, but did not either activate the antioxidant NRF2/KEAP1 pathway or enhance the antioxidant enzyme activity. Transcriptome analysis revealed significant changes in regulatory pathways related to glycolipid, including PPAR signaling pathway, Insulin signaling pathway, Fatty acid biosynthesis, and Glycolysis/Gluconeogenesis. In addition, resveratrol significantly increased the lipid synthesis genes (accα and fas), fatty acid transport gene (fatp 6) and gluconeogenesis gene (gck), but decreased the survival-promoting genes (gadd45β and igf 1). These findings highlight a significant effect of resveratrol on glycolipid metabolism in Siberian sturgeon. Moreover, this study also demonstrated that 0.32 mg/kg resveratrol has physiological toxicity to the liver of Siberian sturgeon, indicating that this dose is too high for Siberian sturgeon. Thus, our study provides a valuable insight for future research and application of resveratrol in fish.

Abstract Background In aquaculture, sturgeons are generally maintained in the confined spaces, which not only hinders sturgeon movement, but also threatens their flesh quality that seriously concerned by aquaculture industry. As a typical antioxidant, resveratrol can improve the flesh quality of livestock and poultry. However, the mechanism of resveratrol’s effect on the muscle of Siberian sturgeon is still unclear. Results In this study, the dietary resveratrol increased the myofiber diameter, the content of the amino acids, antioxidant capacity markers (CAT, LDH and SOD) levels and the expression levels of mTORC1 and MYH9 in muscle of Siberian sturgeon. Further transcriptome analysis displayed that ROS production-related pathways (“Oxidative phosphorylation” and “Chemical carcinogenes-reactive oxygen species”) were enriched in KEGG analysis, and the expression levels of genes related to the production of ROS (COX4, COX6A, ATPeF1A, etc.) in mitochondria were significantly down-regulated, while the expression levels of genes related to scavenging ROS (SOD1) were up-regulated. Conclusions In summary, this study reveals that resveratrol may promote the flesh quality of Siberian sturgeon probably by enhancing myofiber growth, nutritional value and the antioxidant capacity of muscle, which has certain reference significance for the development of a new type of feed for Siberian sturgeon.

The Procambarus clarkii production sector in Sichuan Province, China, is experiencing rapid growth. However, the industry faces significant challenges, including on-farm breeding and the widespread “Catch Big, Keep Small” farming practice, which have led to substantial genetic degradation within P. clarkii populations. Moreover, the uncertainty surrounding the origins of breeding stocks poses an additional obstacle to the local selection and cultivation of high-quality juvenile P. clarkii. With the objective of inferring the genetic lineage of cultivated P. clarkii in Sichuan, twelve microsatellite loci were employed to investigate the genetic characters of six P. clarkii populations from Sichuan and two from Hubei Province, China. The results revealed that the Sichuan populations exhibited higher levels of heterozygosity (Ho = 0.549~0.699, He = 0.547~0.607) and genetic diversity than the Hubei populations (Na = 4.00~5.250, PIC = 0.467~0.535). Notably, the DY population located in northeastern Sichuan showed the highest heterozygosity (Ho = 0.699, He = 0.607) and genetic diversity (Na = 5.250, PIC = 0.535) among the eight populations. Population structure, principal coordinate analysis and clustering analysis illuminated a close genetic relationship between the Qionglai population in Sichuan and the Jianli population in Hubei. Additionally, the remaining five Sichuan populations (Luxian, Nanxi, Xingwen, Neijiang and Daying) exhibited strong genetic affinity with the QianJiang population in Hubei, and particularly high genetic exchange may have occurred between Daying and Qianjiang (Fst = 0.001, Nm = 217.141). These results suggest that the primary cultivated P. clarkii populations in Sichuan likely originated from Qianjiang and Jianli counties in Hubei, with Qianjiang contributing a more substantial proportion. The genetic diversity of Sichuan populations was higher than those of some other Chinese P. clarkii farming provinces and even some native populations. Specifically, the Daying population emerges as a potential breeding germplasm source for crayfish in Sichuan. In contrast, the Qionglai population exhibits relatively low genetic diversity, highlighting the need for strategic enhancement through interactions with other populations to promote diversity and resilience. Furthermore, fostering genetic exchange among locally cultivated populations within the southern Sichuan basin is strategic to elevate the quality of P. clarkii germplasm resources.

Surface electromyography (sEMG) signals are the sum of action potentials emitted by many motor units; they contain the information of muscle contraction patterns and intensity, so they can be used as a simple and reliable source for grasping mode recognition. This paper introduces the InRes-ACNet (inception–attention–ACmix-ResNet50) model, a novel deep-learning approach based on ResNet50, incorporating multi-scale modules and self-attention mechanisms. The proposed model aims to improve gesture recognition performance by enhancing its ability to extract channel feature information within sparse sEMG signals. The InRes-ACNet model is evaluated on the NinaPro DB1 and NinaPro DB5 datasets; the recognition accuracy for these datasets can reach 87.94% and 87.04%, respectively, and recognition accuracy can reach 88.37% in the grasping mode prediction of an electromyography manipulator. The results show that the fusion of multi-scale modules and self-attention mechanisms endows a strong ability for the task of gesture recognition based on sparse sEMG signals.