Yu Guo

Diet plays a critical role in shaping the composition of gut microbiota in insects. Samia ricini, an economically important Lepidoptera insect, is a polyphagous herbivore that offers a useful model for studying dietary effects on the animal gut microbiome. Here, we fed S. ricini larvae with different food plants, Ricinus communis, Ailanthus altissima, and Manihot esculenta leaves to investigate how host plant species influence growth performance, digestive enzyme activities, and the gut microbial community. Our results showed that the Ricinus group exhibited better growth performance. Regarding digestive enzymes, the midgut lipase activity was significantly higher in the Ricinus group than in the Ailanthus group, while no significant differences were observed in α-amylase, cellulase, or trypsin activities among the three groups. Compared to the Manihot group, the Ricinus group showed increased bacterial richness, while the Ailanthus group showed increased bacterial diversity. β-diversity analysis further revealed distinct microbial community structures among all three dietary groups. Specifically, Acinetobacter, Mammaliicoccus, Roseateles, Methylobacterium, Agrobacterium, Faecalibacterium, and Segatella were the dominant bacterial genera. Functional prediction revealed that gut microbes enriched in the Ricinus group were associated with terpenoid/polyketide metabolism, xenobiotics biodegradation, and glycan biosynthesis, whereas those involved in carbohydrate metabolism and biosynthesis of other secondary metabolites were higher in the Manihot group. Spearman correlation analysis indicated that Methylobacterium, Methylorubrum, and Agrobacterium were significantly positively correlated with larval weight, while Staphylococcus and Cyanothece_PCC-7424 exhibited negative correlations. Collectively, these findings suggest a potential association between different plant-derived diets, gut microbiota composition, and host growth performance, highlighting the pivotal role of diet in shaping insect gut microbial communities.

Flavonoids have been implicated in the formation of sex-discriminating fluorescent silkworm cocoons. However, their specific composition in these cocoons remain unexplored. In this study, flavonoid-targeted metabolomics was employed to profile the flavonoid composition of a sex-dependent fluorescent silkworm cocoon strain. Our results revealed comparable total flavonoid content between the violet and yellow fluorescent cocoons, but markedly different flavonoid composition, particularly in a subclass of flavonols. Moreover, four differential flavonoids, baimaside, luteolin-3′,7-di-O-glucoside, quercetin 3,7-diglucoside, and spiraeoside, were identified, among which quercetin 3,7-diglucoside, the most abundant, with levels exceeding the others by an order of magnitude, emerged as the most promising biomarker for the sex-dependent fluorescent phenotypes. These findings pave the way for future investigations into the molecular basis of sex-dependent fluorescent cocoon formation and support the breeding of sex-discriminating fluorescent cocoons for high-quality silk production.

Metabolic syndrome is a global health crisis. However, there are no effective therapeutic strategies for metabolic syndrome. Therefore, this study was conducted to find out a novel silkworm-based metabolic syndrome model that bridges microbial ecology and metabolic dysregulation by integrating hemolymph lipids and midgut microbiota. Our results showed that the levels of HDL-C in the hemolymph of the lean silkworm strain were significantly higher than that in the obese silkworm strain. Furthermore, correlation analysis revealed that Lactococcus and Oceanobacillus were positively related to HDL-C levels, while SM1A02 and Pseudonocardia were negatively associated with HDL-C levels. These relationships between the identified bacteria in the midgut and HDL-C, known as the “good” lipid, in the hemolymph could help guide the development of new treatments for obesity and metabolic problems like high cholesterol in humans. Overall, our results not only established a framework for understanding microbiota-driven lipid dysregulation in silkworms but also offered potential probiotic targets and a bacterial biomarker for obesity and metabolic dysfunction intervention in humans.