The impact of bloodmeal and geographic region on the richness, diversity, and function of internal microbial community in Haemaphysalis qinghaiensis from the Qinghai province, China.

Background: Ticks are ectoparasites that feed on blood and pose a threat to both the livestock industry and public health due to their ability to transmit pathogens through biting. However, the impact of factors such as bloodmeal and geographic regions on the bacterial microbiota of Haemaphysalis qinghaiensis remains poorly understood. Methods: In this study, we used the v3-v4 region of the 16S rRNA gene to sequence the microbiota of Haemaphysalis qinghaiensis from eight groups (HY_M, YS_M, XH_M, LD_M, BM_M, LD_F_F, LD_F, and BM_F_F) in Qinghai Province. Results: Significant differences in bacterial richness were observed between LD_F_F, BM_F_F, and LD_F (P < 0.01), and among the five groups (HY_M, YS_M, XH_M, BM_M, and LD_M) (P < 0.05). The bacterial diversity also differed significantly between LD_F_F, LD_F, and BM_F_F (P < 0.01), as well as among the five groups (HY_M, YS_M, XH_M, LD_M, and BM_M) (P < 0.01). The group with the highest number of operational taxonomic units (OTUs) was LD_F, accounting for 23.93 % (419/1751), while BM_F_F accounted for at least 0.80 % (14/1751). At the phylum level, Firmicutes was the most abundant, with relative abundance ranging from 7.44 % to 96.62 %. At the genus level, Staphylococcus had the highest abundance, ranging from 1.67 % to 97.53 %. The endosymbiotic bacteria Coxiella and Rickettsia were predominantly enriched in LD_F_F. Additionally, the 16S gene of Coxiella showed the highest identity of 99.07 % with Coxiella sp. isolated from Xinxiang hl9 (MG9066 71.1), while the 16S gene of Rickettsia had 100 % identity with Candidatus Rickettsia hongyuanensis strains (OK 662395.1). Functional predictions for the prokaryotic microbial community indicated that the main functional categories were Metabolic, Genetic information processing, and Environmental information processing across the eight groups. Conclusion: This study provides a theoretical basis for the prevention and treatment of tick-borne diseases, which is of great significance for public health.

Mining metagenomic data to gain a new insight into the gut microbial biosynthetic potential in placental mammals.

Mammals host a remarkable diversity and abundance of gut microbes. Biosynthetic gene clusters (BGCs) in microbial genomes encode biologically active chemical products and play an important role in microbe-host interactions. Traditionally, the exploration of gut microbial metabolic functions has relied on the pure culture method. However, given the limited amounts of microbes being cultivated, insights into the metabolism of gut microbes in mammals continued to be very limited. In this study, we adopted a computational pipeline for mining the metagenomic data (named taxonomy-guided identification of biosynthetic gene clusters, TaxiBGC) to identify experimentally verified BGCs in 373 metagenomes across 53 mammalian species in an unbiased manner. We demonstrated that polyketides (PKs) and nonribosomal peptides (NRPs) are representative of mammals, and the products derived from them were associated with cell-cell communication and resistance to inflammation. Large carnivores had the highest number of BGCs, followed by large herbivores and small mammals. We also observed that the large mammals had more common BGCs that aid in the biosynthesis of a variety of natural products. However, small mammals not only had fewer BGCs but were also unique to each species. Our results provide novel insights into the mining of metagenomic data sets to identify active BGCs and their products across mammals.IMPORTANCEThe gut microbes host numerous biosynthetic gene clusters (BGCs) that biosynthesize natural products and impact the host's physiology. Historically, our understanding of BGCs in mammalian gut microbes was largely based on studies on cultured isolates; however, only a small fraction of mammal-associated microbes have been investigated. The biochemical diversity of the mammalian gut microbiota is poorly understood. Metagenomic sequencing contains data from a vast number of organisms and provides information on the total gene content of communities. Unfortunately, the existing BGC prediction tools are designed for individual microbial genomes. Recently, a BGC prediction tool called the taxonomy-guided identification of biosynthetic gene clusters (TaxiBGC) that directly mine the metagenome was developed. To gain new insights into the microbial metabolism, we used TaxiBGC to predict BGCs from 373 metagenomes across 53 mammalian species representing seven orders. Our findings elucidate the functional activities of complex microbial communities in the gut.

A comparison of antibiotic resistance genes and mobile genetic elements in wild and captive Himalayan vultures.

As the most widely distributed scavenger birds on the Qinghai-Tibetan Plateau, Himalayan vultures (Gyps himalayensis) feed on the carcasses of various wild and domestic animals, facing the dual selection pressure of pathogens and antibiotics and are suitable biological sentinel species for monitoring antibiotic resistance genes (ARGs). This study used metagenomic sequencing to comparatively investigate the ARGs and mobile genetic elements (MGEs) of wild and captive Himalayan vultures. Overall, the resistome of Himalayan vultures contained 414 ARG subtypes resistant to 20 ARG types, with abundances ranging from 0.01 to 1,493.60 ppm. The most abundant resistance type was beta-lactam (175 subtypes), followed by multidrug resistance genes with 68 subtypes. Decreases in the abundance of macrolide-lincosamide-streptogramin (MLS) resistance genes were observed in the wild group compared with the zoo group. A total of 75 genera (five phyla) of bacteria were predicted to be the hosts of ARGs in Himalayan vultures, and the clinical (102 ARGs) and high-risk ARGs (35 Rank I and 56 Rank II ARGs) were also analyzed. Among these ARGs, twenty-two clinical ARGs, nine Rank I ARG subtypes, sixteen Rank II ARG subtypes were found to differ significantly between the two groups. Five types of MGEs (128 subtypes) were found in Himalayan vultures. Plasmids (62 subtypes) and transposases (44 subtypes) were found to be the main MGE types. Efflux pump and antibiotic deactivation were the main resistance mechanisms of ARGs in Himalayan vultures. Decreases in the abundance of cellular protection were identified in wild Himalayan vultures compared with the captive Himalayan vultures. Procrustes analysis and the co-occurrence networks analysis revealed different patterns of correlations among gut microbes, ARGs, and MGEs in wild and captive Himalayan vultures. This study is the first step in describing the characterization of the ARGs in the gut of Himalayan vultures and highlights the need to pay more attention to scavenging birds.

Metagenomic comparison of gut communities between wild and captive Himalayan griffons.

Introduction: Himalayan griffons (Gyps himalayensis), known as the scavenger of nature, are large scavenging raptors widely distributed on the Qinghai-Tibetan Plateau and play an important role in maintaining the balance of the plateau ecosystem. The gut microbiome is essential for host health, helping to maintain homeostasis, improving digestive efficiency, and promoting the development of the immune system. Changes in environment and diet can affect the composition and function of gut microbiota, ultimately impacting the host health and adaptation. Captive rearing is considered to be a way to protect Himalayan griffons and increase their population size. However, the effects of captivity on the structure and function of the gut microbial communities of Himalayan griffons are poorly understood. Still, availability of sequenced metagenomes and functional information for most griffons gut microbes remains limited. Methods: In this study, metagenome sequencing was used to analyze the composition and functional structures of the gut microbiota of Himalayan griffons under wild and captive conditions. Results: Our results showed no significant differences in the alpha diversity between the two groups, but significant differences in beta diversity. Taxonomic classification revealed that the most abundant phyla in the gut of Himalayan griffons were Fusobacteriota, Proteobacteria, Firmicutes_A, Bacteroidota, Firmicutes, Actinobacteriota, and Campylobacterota. At the functional level, a series of Kyoto Encyclopedia of Genes and Genome (KEGG) functional pathways, carbohydrate-active enzymes (CAZymes) categories, virulence factor genes (VFGs), and pathogen-host interactions (PHI) were annotated and compared between the two groups. In addition, we recovered nearly 130 metagenome-assembled genomes (MAGs). Discussion: In summary, the present study provided a first inventory of the microbial genes and metagenome-assembled genomes related to the Himalayan griffons, marking a crucial first step toward a wider investigation of the scavengers microbiomes with the ultimate goal to contribute to the conservation and management strategies for this near threatened bird.