Rohwer Wegley-Kelly Lab

Human Research

Mucosa Associated Microbial and Phage Communities

MAMP Communities image
A mucus filled bronchiole lined with epithelial cells has an inherent oxygen gradient (blue), but is mostly anaerobic (green). This oxygen gradient stratifies and drives much of the microbial physiology. The image shows microbial metabolisms and various nutrients as determined through analysis of metagenomic sequence data and metabolomics.

We are dissecting how microbial and viral communities persist in the lungs of people with cystic fibrosis (CF) in order to design new treatment strategies. We use a metagenomic approach to characterize the communities, and we collaborate with a range of clinicians, bioinformaticians, chemists, engineers and mathematicians to generate samples, data and ideas. In collaboration with Dr. Douglas Conrad who runs theadult CF clinic at UCSD, we collect sputum samples from patients over time.

The lives of people with cystic fibrosis are punctuated by flare ups of the chronic infections and inflammation in their lungs, which are normally treated with antibiotics. We take sputum samples before, during and after these flare ups and examine the microbial and viral communities through metagenomic sequencing of their DNA and RNA. Once or twice a year we also obtain an explant lung when a patient undergoes a lung transplant. Knowing both the genetic potential and real-time expression of genes responsible for different types of metabolism throughout the treatment cycle is helping us understand the lifestyle and survival strategies of the organisms in these communities. This may enable development of microbial biomarkers of disease state that predict an oncoming flare up before the inflammation and damage become full blown.

A surprisingly large number of patients in this San Diego population are colonized by Rothia mucilaginosa, which is not typically included in clinical laboratory characterizations of CF lung infections. One consistent theme that is apparent in all of our results is that each CF patient harbors a unique microbial community, comprised of different proportions of bacterial taxa with specific sub-species and strains that have assembled and evolved under the conditions of a particular lung. The lack of clear signatures of disease state across patients is an important reminder that one way to improve medical control of CF lung infections is to design individual treatments that interfere with a particular mode of survival.

In collaboration with Sara Zarei and Peter Salamon in the SDSU biomath group, we are comparing MRI data from CF patients with models of the demise of lung function as increasing numbers of lung tube branches are plugged and irreversibly damaged. We are also analyzing breath gas samples from CF patients with the Rowland-Blake group at UCI to characterize the volatile molecules present in their breath, and comparing them with healthy patients and background room samples. Early results include molecules that indicate synergisms between Streptococcus spp. and phenazine producing microbes such asPseudomonas, which provide alternative electron acceptors and enable anaerobic respiration. To test the synergisms we identify through metagenome and metabolome analysis, we are establishing systems for culturing CF lung-derived organisms in conditions that mimic the CF lung. Establishing model systems for CF-associated microbial communities will also allow us to test how novel treatments such as hyperbaric oxygen affect microbial community structure and function.

Bacteriophage Adherence to Mucus (BAM) Project Description

Bacteriophage Adherence to Mucus (BAM) Project DescriptionThe protective layer of mucus on the body’s surface serves both as an entry point for pathogens and a home for large populations of beneficial microbes. This mucus layer harbors a large diversity of both bacteria and phage. We show elevated concentrations of phage on all mucosal surfaces sampled, ranging from cnidarians to humans, compared to the surrounding environment.

Using bacteriophage T4 and various in vitro tissue culture cells as a model system, we demonstrate that this increase in phage abundance is mucus-dependent. This phage-mucus association reduces bacterial attachment and colonization of the mucus, which subsequently protects the underlying epithelium from bacterial infection. Enrichment of phage in mucus occurs via binding interactions between variable glycan residues displayed in mucus and immunoglobulin-like protein domains exposed on phage capsids.

Based on these observations we propose the Bacteriophage Adherence to Mucus (BAM) model that provides a ubiquitous, but non-host-derived, immunity applicable to mucosal surfaces. This benefits the metazoan host by limiting mucosal bacteria, and benefits the phage through more frequent interactions with bacterial hosts. BAM suggests the first demonstration of a symbiotic interaction between phage and metazoan hosts that provides a previously unrecognized immunity that actively protects mucosal surfaces.

Building off the BAM model we are working on a range of follow up projects:

  • Mathematical models are being developed to predict phage-host interactions occurring within mucus layers, modeling of community and phage dynamics, and diffusion parameters of phage in mucus.
  • Microfluidic devices and tissue culture cells mimic a basic mucosal surface with dynamic flow allowing for the investigation of complex phage-host interactions within mucus.
  • Characterization of phage Ig-like domain structures, binding affinity, and adaptability to diverse glycan residues and surfaces.
  • Interaction between mucus-adherent phage and the human immune system
  • In vivo application of BAM, incorporating community dynamics and diverse microbial assemblages across metazoan hosts

Dark Matter

Dark MatterViruses, and bacteriophage in particular, are the most diverse and numerous biological entities on the planet. Phage interactions with bacterial hosts, which can be observed through population size modulation by outright killing or possessing ecologically relevant genes conferring host growth advantage, have a profound influence on environmental nutrient cycles. Unfortunately, how phage influence community dynamics is poorly understood due to the fact that only 10 to 30% of viral genes found in the environment have sequence similarity to any other identified protein, let alone any protein of known function. The goal of this project is to characterize these phage proteins of unknown function using a combination of high throughput computational and physiological methods, in concert with protein crystallography, to gain insight into phage biodiversity, along with the environmental forces driving phage evolution, and develop a better understanding of host-phage interactions.

Collaborators: Dr. Anca Segall, Dr. Rob Edwards

Viral Discovery

Viral DiscoveryMany diseases in humans have no known associated-etiological agents. These so called ailments of unknown etiology (AUE) range from rare, poorly described to well-characterized clinical conditions with efficacious therapeutic medicines capable of providing a complete cure. The inability to determine the etiology of diseases caused by infectious agents often hampers any preventive effort to control their spread. Unfortunately, the determination of viral etiology of AUE is hindered by the lack of sensitive techniques to detect new viruses. These putative viruses can be notoriously difficult to detect in cell culture, or by the nucleic acid-based hybridization or serological methods. However, it is estimated that <1% of existing viruses have been cultivated. Culture-independent molecular methods have been proposed to genetically characterize viruses without prior in vitro replication or the use of virus-specific probes. The 16S profiling technique has been useful for the detection of AUE-associated bacteria but this approach cannot be applied to viruses as there is no single gene that is common to all viral genomes. To circumvent all these limitations, we are using a high-throughput 454 pyrosequencing and bioinformatics approach to analyze samples from diverse geographical sources and disease types.

Ongoing effort is focused on the following diseases:

  1. Lymphomas of unknown origin (Cameroon, Democratic Republic of Congo)
  2. Effect of malaria in viral acquisition during early childhood (Kenya, West Africa)
  3. Respiratory flu-like illness of unknown origin (USA)
  4. Liver-failure of unknown origin (USA)

Collaborator: John Mokili

Cnidarian Immunity

Cnidarian ImmunityCnidarians diverged from bilateria 550 million years ago and are considered to be the basal phyla to all metazoan life. Recent work has suggested that despite their morphological simplicity, the cnidarian immune repertoire is highly complex with many unexpected similarities to the human immune system (Putnam et al., 2007 and Shinzato et al., 2011). To investigate the cnidarian immune response we utilize molecular tools developed for the human system and apply them to reef building corals as well freshwater Hydra species. In addition to functionally characterizing the cnidarian immune system we are investigating how the resident viral population interacts with host immune components to create a predicated map of the coral immune response. Taken together this project provides novel insight into the general evolution of immunity with potential application to human biology.

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Rohwer Laboratory, San Diego State University.

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North Life Sciences Biology Bldg
San Diego State University
619-594-1336

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Map: 32.777818, -117.071543

Forest Rohwer, PhD
Professor of Biology
SDSU Dept. of Biology

frohwer@gmail.com