RESUMO
The aim of this paper is to explore the key anti-fatigue active components in the saponin-like composition of American ginseng. The anti-fatigue activity of western ginseng samples was evaluated using a zebrafish model; metabolomics techniques were used to identify the main saponins in western ginseng from different origins; the active substances and relevant targets of the anti-fatigue effect of western ginseng were initially screened by constructing a PPI protein interaction network between western ginseng saponins and disease targets, and the key active ingredients were screened using a molecular docking method; finally, the anti-fatigue activity of the key active ingredients was evaluated using a zebrafish, animal experiment was approved by the Ethics Committee of Shandong Academy of Medical Sciences (SYXK20220005). The anti-fatigue activity of the key active ingredients was evaluated using a zebrafish model. The results of the zebrafish activity evaluation showed that there were significant differences in the activities of the western ginseng samples from the two origins, and a total of 10 different saponins were identified as possibly related to the anti-fatigue activity after further metabolomic testing and pattern discrimination. The core anti-fatigue targets were screened with the help of component-disease target PPI, combined with pharmacophore-like parameters and molecular docking techniques, and pseudoginsenoside F11 was found to have good binding activity to five of the targets. Finally, the zebrafish model revealed that pseudoginsenoside F11 exhibited significant anti-fatigue activity. This study used metabolomics and zebrafish model to screen the key active substances of pseudoginsenoside F11 for its anti-fatigue activity, which will provide a reference for further research on the anti-fatigue of pseudoginsenosides.
RESUMO
Ten highly polymorphic microsatellite loci possibly linked to or correlated with the Callipyge gene were selected, according to the genetic map and linkage map of sheep chromosome 18. They were ILSTS54, TGLA337, HH47, TGLA122, BP33, OB2, BM3413, MCM38, MCMA26 and CSSM18. Polymorphisms of these microsatellites were detected in 61 Dorset (male) x Xinjiang fine wool sheep (female) samples and 76 Suffolk (male) x Xinjiang fine wool sheep (female) samples. Results showed that the number of alleles for the 10 microsatellite loci, heterozygosity and PIC (polymorphism information content) in the Dorset population were 8-16, 0.8370-0.9252, and 0.8221-0.9167, respectively. The same parameters in the Suffolk population were 5-10, 0.7603-0.8913 and 0.7176-0.8809, respectively. The effect of these loci on hindquarter width was analyzed in a generalized linear model. Results showed that, in the Dorset group, BM3413, MCMA26 and CSSM18 each had a significant effect on hindquarter width (P<0.05), while the other seven loci had no effect on it (P>0.05). In the Suffolk group, TGLA122, BM3413, MCM38 and CSSM18 had a significant effect on hindquarter width (P<0.05), while the other six loci did not (P>0.05). Our results also indicated that the cause of hindquarters hypertrophy in Xinjiang meat sheep may be different from the A-to-G mutation between the region of DLK1 and GTL2 . There may be other genes or QTL (quantitative trait loci) that affect hindquarter muscle development on chromosome 18 in Xinjiang meat sheep.
