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Background: A significant portion of South Korea's population, approximately a quarter, owns pets, with dogs being the most popular choice among them. However, studies analyzing the fecal organism communities of dogs in South Korea are lacking, and limited efforts have been exerted to identify pathogens with potential zoonotic implications. Therefore, this study aimed to investigate potential pathogens using metabarcoding analysis and evaluate the risk of zoonotic diseases in dog feces in Seoul, South Korea. Methodology: Fecal samples were collected from both pet and stray dogs in the Mapo district of Seoul. Next-generation sequencing (NGS) was utilized, employing 16S rRNA amplicon sequencing to identify prokaryotic pathogens, and 18S rRNA amplicon sequencing for eukaryotic pathogens. The data obtained from the QIIME2 pipeline were subjected to various statistical analyses to identify different putative pathogens and their compositions. Principal findings: Significant variations in microbiota composition were found between stray and pet dogs, and putative prokaryotic and eukaryotic pathogens were identified. The most prevalent putative bacterial pathogens were Fusobacterium, Helicobacter, and Campylobacter. The most prevalent putative eukaryotic pathogens were Giardia, Pentatrichomonas, and Cystoisospora. Interestingly, Campylobacter, Giardia, and Pentatrichomonas were found to be significantly more prevalent in stray dogs than in pet dogs. The variation in the prevalence of potential pathogens in dog feces could be attributed to environmental factors, including dietary variances and interactions with wildlife, particularly in stray dogs. These factors likely contributed to the observed differences in pathogen occurrence between stray and pet dogs. Conclusions/Significance: This study offers valuable insights into the zoonotic risks associated with dog populations residing in diverse environments. By identifying and characterizing putative pathogens in dog feces, this research provides essential information on the impact of habitat on dog-associated pathogens, highlighting the importance of public health planning and zoonotic risk management. Author summary: The ownership of pets, especially dogs, is widespread in South Korea, with millions of people choosing them as companions. However, there is a lack of research on the composition of organisms from dog feces and the identification of potential disease-causing pathogens that can affect both dogs and humans. Understanding these risks is crucial as many infectious diseases can be transmitted from animals to humans. In this study, we used metabarcoding techniques to analyze the fecal organisms of pet and stray dogs in Seoul, South Korea. We found significant differences in the microbiota composition between stray and pet dogs, and we identified putative bacterial pathogens, such as Helicobacter, Campylobacter, and Fusobacterium, and eukaryotic pathogens, such as Giardia, Pentatrichomonas, and Cystoisospora. The prevalence of these putative pathogens was higher in stray dogs compared to pet dogs. These findings emphasize the importance of public health planning and zoonotic disease control, particularly in densely populated urban areas where the risk of zoonotic pathogens associated with dogs is amplified. It is crucial to educate pet owners and the general public about the potential risks associated with exposure to dog feces and contaminated environments. [ABSTRACT FROM AUTHOR]

The Korea Combat Training Center (KCTC), located in Gangwon Province, is a restricted military training facility where research on the environmental conditions and health risks to military personnel has been limited. In this study, using iSeq 100, we investigated the bacterial abundance and microbiome of Haemaphysalis longicornis specimens collected at the KCTC from June to August 2022, to assess current and potential public health risks to military personnel. Our results show that adult ticks had significantly greater species richness compared with larvae and nymphs, with no notable differences in diversity across developmental stages. Principal coordinate analysis of the microbial communities did not show differences attributable to any single factor, such as collection location or date. Coxiella‐like endosymbionts (AB001519) were identified in all 13 samples, and Jatrophihabitans, Sphingomonas, and Spirosoma were consistently found across all samples. In addition, iSeq 100 also identified Rickettsia rickettsii and Borrelia spp., which were not detected with conventional polymerase chain reaction (PCR). [ABSTRACT FROM AUTHOR]

Cockroaches are insects found in almost all habitats, including unsanitary environments. Understanding their microbial communities is crucial for assessing the potential risks they pose as vectors of pathogens. In this study, we assessed the microbial communities of omnivorous cockroaches collected from external environments and those reared in a clean laboratory for extended periods (5–20 years). Using the iSeq 100 system, we examined the relative abundance of microbial communities at the phylum, family and genus levels. Our results revealed that the predominant taxa in these cockroaches were Proteobacteria, Bacteroidetes and Firmicutes. Interestingly, the bacterial communities of samples from the same cockroach species, regardless of their living conditions, clustered together, indicating species‐specific similarities in microbiomes. The symbiont genus Blattabacterium was consistently present in all samples, delivering nutrients to the host. Pathogen detection at the genus level indicated a higher prevalence of potential pathogens in cockroaches collected from field environments, compared with those from laboratory‐reared cockroaches. These findings underscore the importance of cockroaches as pathogen reservoirs and vectors of opportunistic infections, emphasizing the need for further studies to identify specific microorganisms and confirm their pathogenicity. As cockroaches inhabit human environments, their potential to spread harmful bacteria through defecation warrants attention and underscores the significance of understanding their microbial ecology for public health implications. [ABSTRACT FROM AUTHOR]

T. gondii is a highly prevalent parasite worldwide, with cats serving as its final host. However, few studies have investigated the impact of T. gondii infection on cat gut microbiota. Therefore, this study examined the influence of T. gondii infection on the gut microbiota of stray cats and identified potential pathogens in their feces. This study examined T. gondii infection through blood of stray cats and the influence of microbiota in their feces using 16S rRNA gene amplicon sequencing. The results revealed significant differences in gut microbiota composition and diversity between the T. gondii seropositive and seronegative groups. Seropositive samples displayed a lower number of operational taxonomic units and reduced Shannon index than the seronegative samples. The seropositive and seronegative groups exhibited enrichment of taxa, including Escherichia and Enterobacteriaceae and Collinsella, Bifidobacterium, and Roseburia, respectively. Furthermore, potential pathogen species, including Campylobacter, Escherichia, and Streptococcus, were identified in the fecal samples. These findings suggest that T. gondii infection significantly impacts gut microbiota composition and diversity in stray cats. Additionally, an increased potential pathogen load, represented by Escherichia spp., was observed. These results underscore the importance of monitoring the prevalence of zoonotic pathogens in stray cats, as they can serve as reservoirs for zoonotic diseases. [ABSTRACT FROM AUTHOR]

Background: The striped field mouse Apodemus agrarius is a wild rodent commonly found in fields in Korea. It is a known carrier of various pathogens. Amplicon-based next-generation sequencing (NGS) targeting the 16S ribosomal RNA (rRNA) gene is the most common technique used to analyze the bacterial microbiome. Although many bacterial microbiome analyses have been attempted using feces of wild animals, only a few studies have used NGS to screen for parasites. This study aimed to rapidly detect bacterial, fungal and parasitic pathogens in the guts of A. agrarius using NGS-based metabarcoding analysis. Methods: We conducted 18S/16S rDNA-targeted high-throughput sequencing on cecal samples collected from A. agrarius (n = 48) trapped in May and October 2017. Taxa of protozoa, fungi, helminths and bacteria in the cecal content were then identified. Results: Among the protozoa identified, the most prevalent was Tritrichomonas sp., found in all of the cecal samples, followed by Monocercomonas sp. (95.8% prevalence; in 46/48 samples) and Giardia sp. (75% prevalence; in 36/48 samples). For helminths, Heligmosomoides sp. was the most common, found in 85.4% (41/48) of samples, followed by Hymenolepis sp. (10.4%; 5/48) and Syphacia sp. (25%; 12/48). The 16S rRNA gene analysis showed that the microbial composition of the cecal samples changed by season (P = 0.005), with the linear discriminant analysis effect size showing that in the spring Escherichia coli and Lactobacillus murinus were more abundant and Helicobacter rodentium was less abundant. Helicobacter japonicus was more abundant and Prevotella_uc was less abundant in males. The microbial composition changed based on the Heligmosomoides sp. infection status (P = 0.019); specifically, Lactobacillus gasseri and Lactobacillus intestinalis were more abundant in the Heligmosomoides sp.-positive group than in the Heligmosomoides sp.-negative group. Conclusions: This study demonstrated that bacterial abundance changed based on the season and specific parasitic infection status of the trapped mice. These results highlight the advantages of NGS technology in monitoring zoonotic disease reservoirs. [ABSTRACT FROM AUTHOR]