Biology subjects

Wandro, S.

Publications and source records attributed to Wandro, S..

6 recordsLinked to original sources

bioRxiv2023

Reply to: Caution Regarding the Specificities of Pan-Cancer Microbial Structure

The cancer microbiome field tremendously accelerated following the release of our manuscript nearly three years ago1, including direct validation of our cancer type-specific conclusions in independent, international cohorts2,3 and the tumor microbiomes adoption into the hallmarks of cancer4. Disentangling contamination signals from biological signals is an important consideration for this research field. Therefore, despite numerous, high-impact, peer-reviewed research papers that either validated our conclusions or extended them using data we released2,5-13, we carefully considered criticism raised by Gihawi et al. about potential mishandling of contaminants, batch effects, and machine learning approaches--all of which were central topics in our manuscript. Nonetheless, a close examination of each concern alongside the original manuscript and re-analyses of our published data strongly demonstrates the robustness of the original findings. To remove all doubt, however, we have reproduced all key conclusions from the original manuscript using only overlapping bacterial genera identified in a highly decontaminated, multi-cancer, international cohort (Weizmann Institute of Science, WIS)2, with or without batch correction, and with multiclass machine learning analyses to mitigate class imbalances. Our published pan-cancer mycobiome manuscript3 also affirms these findings using updated, state-of-the-art methods. We also note that every analysis shown here was possible using public data and code that we had already provided.

bioinformatics↗

bioRxiv2021

Phage Cocktails can Prevent the Evolution of Phage-Resistant Enterococcus

Antibiotic resistant Enterococcus infections are a major health crisis that requires the development of alternative therapies. Phage therapy could be an alternative to antibiotics and has shown promise in in vitro and in early clinical studies. Phage therapy is often deployed as a cocktail of phages, but there is little understanding of how to most effectively combine phages. Here we utilized a collection of 20 Enterococcus phages to test principles of phage cocktail design and determine the phenotypic effects of evolving phage resistance in Enterococcus isolates that were susceptible or resistant to antibiotics (e.g., Vancomycin Resistant Enterococcus (VRE)). We tested the ability of each phage to clear Enterococcus host cultures and prevent the emergence of phage resistant Enterococcus. We found that some phages which were ineffective individually were effective at clearing the bacterial culture when used in cocktails. To understand the dynamics within phage cocktails, we used qPCR to track which phages increased in abundance in each cocktail, and saw dynamics ranging from one dominant phage to even phage growth. Further, we isolated several phage-resistant mutants to test for altered Vancomycin sensitivity. We found that mutants tended to have no change or slightly increased resistance to Vancomycin. By demonstrating the efficacy of phage cocktails in suppressing growth of antibiotic susceptible and VRE clinical isolates when exposed to phages, this work will help to inform cocktail design for future phage therapy applications. IMPORTANCEAntibiotic resistant Enterococcus infections are a major health crisis that requires the development of alternative therapies. Phage therapy could be an alternative to antibiotics and has shown promise in in vitro and in early clinical studies. Phage therapy in the form of cocktails is often suggested, with similar goals as the combination therapy that has been successful in the treatment of HIV infection, but there is little understanding about how to combine phages most effectively. Here we utilized a collection of 20 Enterococcus phages to test whether several phage cocktails could prevent the host from evolving resistance to therapy and to determine whether evolving resistance to phages affected host susceptibility to antibiotics. We showed that cocktails of two or three unrelated phages often prevented the growth of phage-resistant mutants, when the same phages applied individually were not able to.

microbiology↗

bioRxiv2020

A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities

One goal among microbial ecology researchers is to capture the maximum amount of information from all organisms in a sample. The recent COVID-19 pandemic, caused by the RNA virus SARS-CoV-2, has highlighted a gap in traditional DNA-based protocols, including the high-throughput methods we previously established as field standards. To enable simultaneous SARS-CoV-2 and microbial community profiling, we compare the relative performance of two total nucleic acid extraction protocols and our previously benchmarked protocol. We included a diverse panel of environmental and host-associated sample types, including body sites commonly swabbed for COVID-19 testing. Here we present results comparing the cost, processing time, DNA and RNA yield, microbial community composition, limit of detection, and well-to-well contamination, between these protocols. Accession numbersRaw sequence data were deposited at the European Nucleotide Archive (accession#: ERP124610) and raw and processed data are available at Qiita (Study ID: 12201). All processing and analysis code is available on GitHub (github.com/justinshaffer/Extraction_test_MagMAX). Methods summaryTo allow for downstream applications involving RNA-based organisms such as SARS-CoV-2, we compared the two extraction protocols designed to extract DNA and RNA against our previously established protocol for extracting only DNA for microbial community analyses. Across 10 diverse sample types, one of the two protocols was equivalent or better than our established DNA-based protocol. Our conclusion is based on per-sample comparisons of DNA and RNA yield, the number of quality sequences generated, microbial community alpha- and beta-diversity and taxonomic composition, the limit of detection, and extent of well-to-well contamination.

ecology↗

bioRxiv2020

Bacterial modification of the host glycosaminoglycan heparan sulfate modulates SARS-CoV-2 infectivity

The human microbiota has a close relationship with human disease and it remodels components of the glycocalyx including heparan sulfate (HS). Studies of the severe acute respiratory syndrome coronavirus (SARS-CoV-2) spike protein receptor binding domain suggest that infection requires binding to HS and angiotensin converting enzyme 2 (ACE2) in a codependent manner. Here, we show that commensal host bacterial communities can modify HS and thereby modulate SARS-CoV-2 spike protein binding and that these communities change with host age and sex. Common human-associated commensal bacteria whose genomes encode HS-modifying enzymes were identified. The prevalence of these bacteria and the expression of key microbial glycosidases in bronchoalveolar lavage fluid (BALF) was lower in adult COVID-19 patients than in healthy controls. The presence of HS-modifying bacteria decreased with age in two large survey datasets, FINRISK 2002 and American Gut, revealing one possible mechanism for the observed increase in COVID-19 susceptibility with age. In vitro, bacterial glycosidases from unpurified culture media supernatants fully blocked SARS-CoV-2 spike binding to human H1299 protein lung adenocarcinoma cells. HS-modifying bacteria in human microbial communities may regulate viral adhesion, and loss of these commensals could predispose individuals to infection. Understanding the impact of shifts in microbial community composition and bacterial lyases on SARS-CoV-2 infection may lead to new therapeutics and diagnosis of susceptibility. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=136 SRC="FIGDIR/small/238444v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@14ff1ecorg.highwire.dtl.DTLVardef@193d84corg.highwire.dtl.DTLVardef@15d6f9eorg.highwire.dtl.DTLVardef@14b16c6_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract. Diagram of hypothesis for bacterial mediation of SARS-CoV-2 infection through heparan sulfate (HS).It is well known that host microbes groom the mucosa where they reside. Recent investigations have shown that HS, a major component of mucosal layers, is necessary for SARS-CoV-2 infection. In this study we examine the impact of microbial modification of HS on viral attachment. C_FIG

microbiology↗

bioRxiv2019

Cervicovaginal microbiome composition drives metabolic profiles in healthy pregnancy

BackgroundMicrobes and their metabolic products influence early-life immune and microbiome development, yet remain understudied during pregnancy. Vaginal microbial communities are typically dominated by one or a few well adapted microbes, which are able to survive in a narrow pH range. In comparison to other human-associated microbes, vaginal microbes are adapted to live on host-derived carbon sources, likely sourced from glycogen and mucin present in the vaginal environment. MethodsUsing 16S rRNA and ITS amplicon sequencing, we characterized the cervicovaginal microbiomes of 18 healthy women throughout the three trimesters of pregnancy. Shotgun metagenomic sequencing permitted refinement of the taxonomy established by amplicon sequencing, and identification of functional genes. Additionally, we analyzed saliva and urine metabolomes using GC-TOF and LC-MS/MS lipidomics approaches for samples from mothers and their infants through the first year of life. ResultsAmplicon sequencing revealed most women had either a simple community with one highly abundant species of Lactobacillus or a more diverse community characterized by a high abundance of Gardnerella, as has also been previously described in several independent cohorts. Integrating GC-TOF and lipidomics data with amplicon sequencing, we found metabolites that distinctly associate with particular communities. For example, cervicovaginal microbial communities dominated by Lactobacillus crispatus also have high mannitol levels, which contradicts the basic characterization of L. crispatus as a homofermentative Lactobacillus species. It may be that fluctuations in which Lactobacillus dominate a particular vaginal microbiome are dictated by the availability of host sugars, such as fructose, which is the most likely substrate being converted to mannitol. Furthermore, indole-3-lactate (ILA) was also indicative of L. crispatus specifically. ILA has immunomodulatory properties through binding the human aryl hydrocarbon receptor (AhR), which may maintain the especially low diversity of L. crispatus dominated communities. ConclusionsOverall, using a multi- omic approach, we begin to address the genetic and molecular means by which a particular vaginal microbiome becomes vulnerable to large changes in composition.

microbiology↗

bioRxiv2017

Microbial Community Assembly And Metabolite Profile Of The Gut Microbiome In Extremely Low Birthweight Infants

The assembly and development of the gut microbiome in infants has important consequences for immediate and long-term health. Preterm infants represent an abnormal case for bacterial colonization because of early exposure to bacteria and frequent use of antibiotics. To better understand the assembly of the gut microbiota in preterm infants, fecal samples were collected from 32 very low birthweight preterm infants over the first six weeks of life. Infant health outcomes included healthy, late-onset sepsis, and necrotizing enterocolitis (NEC). We characterized the bacterial composition by 16S rRNA gene sequencing and metabolome by untargeted gas chromatography mass spectrometry. Preterm infant fecal samples lacked beneficial Bifidobacterium and were dominated by Enterobacteriaceae, Enterococcus, and Staphylococcus due to the near uniform antibiotic administration. Most of the variance between the microbial community compositions could be attributed to which baby the sample came from (Permanova R2=0.48, p<0.001), while clinical status (healthy, NEC, or late-onset sepsis), and overlapping time in the NICU did not explain a significant amount of variation in bacterial composition. Fecal metabolomes were also found to be unique to the individual (Permanova R2=0.43, p<0.001) and weakly associated with bacterial composition (Mantel statistic r = 0.23 {+/-} 0.05 (p = 0.03 {+/-} 0.03). No measured metabolites were found to be associated with necrotizing enterocolitis, late-onset sepsis or a healthy outcome. Overall, preterm infants gut microbial communities were personalized and reflected antibiotic usage.\n\nImportancePreterm infants face health problems likely related to microbial exposures including sepsis and necrotizing enterocolitis. However, the role of the gut microbiome in preterm infant health is poorly understood. Microbial colonization differs from healthy term babies because it occurs in the NICU and is often perturbed by antibiotics. We measured bacterial compositions and metabolomic profiles of 77 fecal samples from thirty-two preterm infants to investigate the differences between microbiomes in health and disease. Rather than finding microbial signatures of disease, we found the preterm infant microbiome and metabolome were both personalized, and that the preterm infant gut microbiome is enriched in microbes that commonly dominate in the presence of antibiotics. These results contribute to the growing knowledge of the preterm infant microbiome and emphasize that a personalized view will be important to disentangling the health consequences of the preterm infant microbiome.

microbiology↗