mSystems最新文献

Gut microbe dysbiosis increases repetitive inflammatory responses, leading to an increase in the incidence of colorectal cancer. Recent studies have revealed that specific microbial species directly instigate mutations in the host nucleus DNA, thereby accelerating the progression of colorectal cancer. Given the well-established role of mitochondrial dysfunction in promoting colorectal cancer, it is reasonable to postulate that gut microbes may induce mitochondrial gene mutations, thereby inducing mitochondrial dysfunction. In this review, we focus on gut microbial genotoxins and their known and potential targets in mitochondrial genes. Consequently, we propose that targeted disruption of genotoxin transport pathways may effectively reduce the rate of mitochondrial gene mutations and yield substantial benefits for the prevention of colorectal carcinogenesis.

Cats (Felidae) have become an integral part of many households. However, our understanding of the full spectrum of pathogens affecting cats (referred to as the infectome) is limited, mainly due to the inadequacy of commonly used diagnostic tools in capturing the complete diversity of potential pathogens and the prevalence of pathogen co-infections. In this study, we employed a meta-transcriptomic approach to simultaneously characterize the infectome contributing to different disease syndromes and to investigate spatial, demographic, and ecological factors influencing pathogen diversity and community composition in a cohort of 27 hospitalized cats and seven stray cats. We identified 15 species of pathogens, with Candidatus Rickettsia tarasevichiae and Tritrichomonas foetus representing potential spillover risks. Importantly, although most cases of ascites hyperplasia were explained by coinfection with multiple pathogens, we identified the potential novel clinical outcomes of M. aubagnense infection among cats. We demonstrated that the increase in infectome diversity can be explained by a variety of predictors including age growth, temperature increase, and a higher proportion of females, with age growth presenting the strongest effect. Fine-scale analysis indicated that a higher diversity of infectomes were harbored in young cats rather than adult ones. Our results demonstrated that most feline diseases are better explained by the presence of virus-bacteria or virus-virus coinfection. This study serves as a timely endorsement for clinical diagnosis by vets to consider the cause of a disease based on a panel of cryptical co-infecting pathogens rather than on individual infectious agents.

Importance: Frequent studies reported the risks of cats as an intermediate host of zoonotic pathogens (e.g., SARS-CoV-2). Cats have a physically close interaction with their owners through activities like petting, kissing, and being licked on the cheek and hands. However, there are still limited studies that systematically investigate the infectome structure of cats. In this study, we employed a meta-transcriptomics approach to characterize 15 species of pathogens in cats, with Candidatus Rickettsia tarasevichiae first characterizing infection in diseased cats. Most feline diseases were better explained by the presence of virus-bacteria or virus-virus coinfection. The increase in infectome diversity could be influenced by a variety of predictors including age growth, temperature increase, and a higher proportion of females. A higher diversity of pathogens was harbored in young cats rather than adults. Importantly, we showed the value of linking the modern influx of meta-transcriptomics with comparative ecology and demography and of utilizing it to affirm that ecological and demographic variations impact the total infectome.

Nontyphoidal Salmonella (NTS) is the main etiological agent of human nontyphoidal salmonellosis. The aim of this study was to analyze the epidemiological characteristics and horizontal transfer mechanisms of antimicrobial resistance (AMR) genes from eight strains of NTS detected in Zhenjiang City, Jiangsu Province, China. Fecal samples from outpatients with food-borne diarrhea were collected in 2022. The NTS isolates were identified, and their susceptibility was tested with the Vitek 2 Compact system. The genomes of the NTS isolates were sequenced with the Illumina NovaSeq platform and Oxford Nanopore Technologies platform. The AMR genes and mobile genetic elements (MGEs) were predicted with the relevant open access resources. Eight strains of NTS were isolated from 153 specimens, and Salmonella Typhimurium ST19 was the most prevalent serotype. The AMR gene with the highest detection rate was AAC(6')-Iaa (10.5%) followed by TEM-1 (7.9%), sul2 (6.6%), and tet(A) (5.3%). Eleven MGEs carrying 34 AMR genes were identified on the chromosomes of 3 of the 8 NTS, including 3 resistance islands, 6 composite transposons (Tns), and 2 integrons. Eighteen plasmids carrying 40 AMR genes were detected in the 8 NTS strains, including 6 mobilizable plasmids, 3 conjugative plasmids, and 9 nontransferable plasmids, 7 of which carried 10 composite Tns and 3 integrons. This study provided a theoretical basis, from a genetic perspective, for the prevention and control of NTS resistance in Zhenjiang City.

Importance: Human nontyphoidal salmonellosis is one of the common causes of bacterial food-borne illnesses, with significant social and economic impacts, especially those caused by invasive multidrug-resistant nontyphoidal Salmonella, which entails high morbidity and mortality. Antimicrobial resistance is mainly mediated by drug resistance genes, and mobile genetic elements play key roles in the capture, accumulation, and dissemination of antimicrobial resistance genes. Therefore, it is necessary to study the epidemiological characteristics and horizontal transfer mechanisms of antimicrobial resistance genes of nontyphoidal Salmonella to prevent the spread of multidrug-resistant nontyphoidal Salmonella.

Haemophilus parainfluenzae (Hp) is a Gram-negative, highly prevalent, and abundant commensal in the human oral cavity, and an infrequent extraoral opportunistic pathogen. Hp occupies multiple niches in the oral cavity, including the supragingival plaque biofilm. Little is known about how Hp interacts with its neighbors in healthy biofilms nor its mechanisms of pathogenesis as an opportunistic pathogen. To address this, we identified the essential genome and conditionally essential genes in in vitro biofilms aerobically and anaerobically. Using transposon insertion sequencing (TnSeq) with a highly saturated mariner transposon library in two strains, the ATCC33392 type-strain (Hp 392) and oral isolate EL1 (Hp EL1), we show that the essential genomes of Hp 392 and Hp EL1 are composed of 395 (20%) and 384 (19%) genes, respectively. The core essential genome, consisting of 341 (17%) essential genes conserved between both strains, was composed of genes associated with genetic information processing, carbohydrate, protein, and energy metabolism. We also identified conditionally essential genes for aerobic and anaerobic biofilm growth, which were associated with carbohydrate and energy metabolism in both strains. RNAseq analysis determined that most genes upregulated during anaerobic growth are not essential for Hp 392 anaerobic survival. The completion of this library and analysis under these conditions gives us a foundational insight into the basic biology of H. parainfluenzae in differing oxygen conditions, similar to its in vivo habitat. This library presents a valuable tool for investigation into conditionally essential genes for an organism that lives in close contact with many microbial species in the human oral habitat.IMPORTANCEHaemophilus parainfluenzae is a highly abundant human commensal microbe, present in most healthy individuals where it colonizes the mouth. H. parainfluenzae correlates with good oral health and may play a role in preservation of healthy host status. Also, H. parainfluenzae can cause opportunistic infections outside of the oral cavity. To date, little is known about how H. parainfluenzae colonizes the human host, despite being such a frequent and abundant part of our human microbiome. Here, we demonstrate the creation and use of a powerful tool, a TnSeq library, used to identify genes necessary for both the outright growth of this organism and also genes conditionally essential for growth in varying oxygen status which it can encounter in the human host. This tool and these data serve as a foundation for further study of this relatively unknown organism that may play a role in preserving human health.