Background: Spodoptera litura is an important polyphagous pest that causes significant damage to the agricultural sector. We performed RNA-seq of 15 S. litura individuals from larval (fifth and sixth instar larvae), chrysalis, and adult developmental stages. We also compared the S. litura transcriptome data with Spodoptera frugiperda across the same developmental stages, which was sequenced in our previous study. Results: A total of 101,885 differentially expressed transcripts (DETs) were identified in S. litura. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses indicated that S. litura may undergo active xenobiotic and detoxifying metabolism during its larval and adult stages, which may explain difficulties with current population control measures. We also found that DETs of single-copy orthologous genes between S. litura and S. frugiperda were involved in basic metabolism and development. However, energy and metabolic processes genes had a higher expression in S. litura, whereas nervous and olfactory function genes had a higher expression in S. frugiperda. Metagenomics analysis in larval S. litura and S. frugiperda revealed that microbiota participate in the detoxification and metabolism processes, but the relative abundance of detoxification-related microbiota was more abundant in S. frugiperda. Transcriptome results also confirmed the detoxification-related pathway of S. frugiperda was more abundant than in S. litura. Conclusions: Significant changes at transcriptional level were identified during the different development stages of S. litura. Importantly, we also identified detoxification associated genes and gut microbiota between S. litura and S. frugiperda at different developmental stages, which will be valuable in revealing possible mechanisms of detoxification and development in these two lepidopterans.

The composition of gut microbiota is closely related to health and nutrition of livestock. Research on the interaction between gut microbiota in livestock and grazing management strategies is unfortunately sparse. By studying the compositions of gut microbiota in sheep and goats in a single, mixed grazing population under the control of herdsman, as well as those of free-range camels in the same area of Qaidam Basin, we found that the composition of gut microbiota between sheep and goats showed no significant difference. However, there were significant differences between mixed group and camels at α- and β-diversities. We speculate that grazing management can shape gut microbial diversity indirectly. Mixed grazing under the control of herdsman lead to similarities in the diversity of gut microbiota among different species and limit their diversities of gut microbiota, which is not conducive to healthy growth of the host. On the contrary, free-range grazing is better for the diversity of gut microbiota. In order to sustainably manage populations of livestock, gut microbiota analysis may prove to be an important indicator for evaluating the merits of different grazing management strategies. Our results lay a foundation to improve the health of livestock and grazing management.

Noctuidae is known to have high species diversity, although the genomic diversity of Noctuidae species has yet to be studied extensively. Investigation of transposable elements (TEs) in this family can improve our understanding of the genomic diversity of Noctuidae. In this study, we annotated and characterized genome-wide TEs in ten noctuid species belonging to seven genera. With multiple annotation pipelines, we constructed a consensus sequence library containing 1038–2826 TE consensus. The genome content of TEs showed high variation in the ten Noctuidae genomes, ranging from 11.3% to 45.0%. The relatedness analysis indicated that the TE content, especially the content of LINEs and DNA transposons, is positively correlated with the genome size (r = 0.86, p-value = 0.001). We identified SINE/B2 as a lineage-specific subfamily in Trichoplusia ni, a species-specific expansion of the LTR/Gypsy subfamily in Spodoptera exigua, and a recent expansion of SINE/5S subfamily in Busseola fusca. We further revealed that of the four TE classes, only LINEs showed phylogenetic signals with high confidence. We also examined how the expansion of TEs contributed to the evolution of noctuid genomes. Moreover, we identified 56 horizontal transfer TE (HTT) events among the ten noctuid species and at least three HTT events between the nine Noctuidae species and 11 non-noctuid arthropods. One of the HTT events of a Gypsy transposon might have caused the recent expansion of the Gypsy subfamily in the S. exigua genome. By determining the TE content, dynamics, and HTT events in the Noctuidae genomes, our study emphasized that TE activities and HTT events substantially impacted the Noctuidae genome evolution.

Microsatellites (SSRs) are widely distributed in the genomes of organisms and are an important genetic basis for genome evolution and phenotypic adaptation. Although the distribution patterns of microsatellites have been investigated in many phylogenetic lineages, they remain unclear within the morphologically and physiologically diverse avian clades. Here, based on high-quality chromosome-level genomes, we examined the microsatellite distribution patterns for 53 birds from 16 orders. The results demonstrated that each type of SSR had the same ratio between taxa. For example, the frequency of imperfect SSRs (I-SSRs) was 69.90–84.61%, while perfect SSRs (P-SSRs) were 14.86–28.13% and compound SSRs (C-SSRs) were 0.39–2.24%. Mononucleotide SSRs were dominant for perfect SSRs (32.66–76.48%) in most bird species (98.11%), and A(n) was the most abundant repeat motifs of P-SSRs in all birds (5.42–68.22%). Our study further confirmed that the abundance and diversity of microsatellites were less effected by evolutionary history but its length. The number of P-SSRs decreased with increasing repeat times, and longer P-SSRs motifs had a higher variability coefficient of the repeat copy number and lower diversity, indicating that longer motifs tended to have more stable preferences in avian genomes. We also found that P-SSRs were mainly distributed at the gene ends, and the functional annotation for these genes demonstrated that they were related to signal transduction and cellular process. In conclusion, our research provided avian SSR distribution patterns, which will help to explore the genetic basis for phenotypic diversity in birds.