The microbial protein interaction database (MPIDB) aims to collect and provide all known physical microbial interactions. Currently, 22,530 experimentally determined interactions among proteins of 191 bacterial species/strains can be browsed and downloaded. These microbial interactions have been manually curated from the literature or imported from other databases (IntAct, DIP, BIND, MINT) and are linked to 24,060 experimental evidences (PubMed ID, PSI-MI methods). In contrast to these databases, interactions in MPIDB are further supported by 8150 additional evidences based on interaction conservation, co-purification and 3D domain contacts (iPfam, 3did).http://www.jcvi.org/mpidb/
Abstract Background The cotton rat (genus Sigmodon ) is an essential small animal model for the study of human infectious disease and viral therapeutic development. However, the impact of the host microbiome on infection outcomes has not been explored in this model, partly due to the lack of a comprehensive characterization of microbial communities across different cotton rat species. Understanding the dynamics of their microbiome could significantly help to better understand its role when modeling viral infections in this animal model. Results We examined the bacterial communities of the gut and three external sites (skin, ear, and nose) of two inbred species of cotton rats commonly used in research ( S. hispidus and S. fulviventer ) by using 16S rRNA gene sequencing, constituting the first comprehensive characterization of the cotton rat microbiome. We showed that S. fulviventer maintained higher alpha diversity and richness than S. hispidus at external sites (skin, ear, nose), but there were no differentially abundant genera. However, S. fulviventer and S. hispidus had distinct fecal microbiomes composed of several significantly differentially abundant genera. Whole metagenomic shotgun sequencing of fecal samples identified species-level differences between S. hispidus and S. fulviventer , as well as different metabolic pathway functions as a result of differential host microbiome contributions. Furthermore, the microbiome composition of the external sites showed significant sex-based differences while fecal communities were not largely different. Conclusions Our study shows that host genetic background potentially exerts homeostatic pressures, resulting in distinct microbiomes for two different inbred cotton rat species. Because of the numerous studies that have uncovered strong relationships between host microbiome, viral infection outcomes, and immune responses, our findings represent a strong contribution for understanding the impact of different microbial communities on viral pathogenesis. Furthermore, we provide novel cotton rat microbiome data as a springboard to uncover the full therapeutic potential of the microbiome against viral infections.
Additional file 12: Supplemental File 2. GeneSelector analysis of 16S rRNA gene sequencing data between S. fulviventer and S. hispidus across all body sites at the genus and family level.
Additional file 13: Supplemental File 3. LEfSe analysis of 16S rRNA gene sequencing data between S. fulviventer and S. hispidus across all body sites at the genus level.
Abstract The objective of this study was to characterize mucosal microbial shifts in patients with acute laryngeal injury (ALgI) after intubation. This cross‐sectional study included 20 patients with ALgI who underwent early endoscopic intervention with tissue culture, 20 patients with idiopathic subglottic stenosis (iSGS) who underwent tissue culture during the routine endoscopic intervention, and 3 control patients who underwent mucosal swab culture. 70% of the ALgI patients had a positive culture compared to 5% of the iSGS patients and none of the controls. The most identified microbes isolated from ALgI patients included Staphylococcus species in 30% and Streptococcus species in 25%. The high rate of pathologic bacterial infiltration into postintubation laryngeal wounds supports efforts to reduce bacterial colonization of endotracheal tubes and highlights the role of culture‐directed antibiotic therapy as a part of early intervention to improve outcomes for patients with ALgI.
Abstract Background: The cotton rat ( Sigmodon ) is the gold standard pre-clinical small animal model for respiratory viral pathogens, especially for Respiratory Syncytial Virus (RSV). However, without a reference genome or a published transcriptome, studies requiring gene expression analysis in cotton rats are severely limited. The aims of this study were to generate a comprehensive transcriptome from multiple tissues of two species of cotton rats that are commonly used as animal models ( Sigmodon fulviventer and Sigmodon hispidus), and to compare and contrast gene expression changes and immune responses to RSV infection between the two species. Results: Transcriptomes were assembled from lung, spleen, kidney, heart, and intestines for each species with a contig N50>1600. Annotation of contigs generated nearly 120,000 gene annotations for each species. The transcriptomes of S. fulviventer and S. hispidus were then used to assess immune response to RSV infection. We identified 279 unique genes that are significantly differentially expressed, including several genes implicated in RSV infection (Mx1, I27L2, IIGP1, LY6E, Viperin, Keratin 6A) as well as novel genes that have not previously described in RSV research (LG3BP, SYWC, MYO7B, A1CF, APOBEC1, RIC1, KPYR, Claudin-2, and NR1H4) Conclusions: This study presents two comprehensive transcriptome references as resources for future gene expression analysis studies in the cotton rat model, as well as provides gene sequences for mechanistic characterization of molecular pathways. Overall, our results provide generalizable insights into the effect of host genetics on viral outcomes, as well as identify new host therapeutic targets for RSV treatment and prevention.
Acute respiratory infection (ARI) with respiratory syncytial virus (RSV) is the most common cause of both hospitalizations and mortality in young infants worldwide. Repeat infections with RSV are common throughout life in both pediatric and elderly populations. Thus far, cotton rats (Sigmodon hispidus) are found to be the best animal model to study RSV infection. However, the lack of a cotton rat reference genome limits genome-wide host gene expression studies. We constructed the first lung tissue de novo transcriptome for the cotton rat. Cotton rat lung tissue transcripts were assigned to 12,211 unique UniProt genes, which were then utilized to profile the host immune response after RSV infection. Differential expression analysis showed up-regulation of host genes involved in cellular functions including defense responses to viral infection and immune system processes. A number of transcripts were downregulated during the later stage of infection. A set of transcripts unique to RSV-infected cotton rats was identified. To validate RNA-Seq data of three such transcripts (TR453762, TR529629, and TR5333), their expression was confirmed by quantitative real-time polymerase chain reaction.
Abstract Background: The cotton rat (genus Sigmodon ) is an essential small animal model for the study of human infectious disease and viral therapeutic development. However, the impact of the host microbiome on infection outcomes has not been explored in this model, partly due to the lack of a comprehensive characterization of microbial communities across different cotton rat species. Understanding the dynamics of their microbiome could significantly help to better understand its role during when modeling viral infections in this small animal model. Results: We examined the bacterial communities of the gut and three external sites (skin, ear, and nose) of two inbred species of cotton rats commonly used in research ( S. hispidus and S. fulviventer ) by using 16S rRNA gene sequencing, constituting the first comprehensive catalog of the cotton rat microbiome. We showed that S. fulviventer maintained higher alpha diversity and richness than S. hispidus at external sites (skin, ear, nose), but there were no differentially abundant genera. However, S. fulviventer and S. hispidus had distinct fecal microbiomes composed of several significantly differentially abundant genera. Whole metagenomic shotgun sequencing of fecal samples identified species-level differences between S. hispidus and S. fulviventer , as well as different metabolic pathway functions as a result of differential host microbiome contributions. Furthermore, the microbiome composition of the external sites showed significant sex-based differences while fecal communities were not largely different. Conclusions: Our study shows that host genetic background potentially exerts homeostatic pressures, resulting in distinct microbiomes for two different inbred cotton rat species. Because of the numerous studies that have uncovered strong relationships between host microbiome, viral infection outcomes, and immune responses, our findings represent a strong contribution for understanding the impact of different microbial communities on viral pathogenesis. Furthermore, we provide novel cotton rat microbiome data as a springboard to uncover the full therapeutic potential of the microbiome against viral infections.