WebofMicrobes analyzing the chemistry between microbes

Acknowledgments

This material by ENIGMA (Ecosystems and Networks Integrated with Genes and Molecular Assemblies, a Scientific Focus Area Program at Lawrence Berkeley National Laboratory), the Presidential Early Career Award for Scientists and Engineers and the Office of Science Early Career Program is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Biological & Environmental Research under contract number DE-AC02-05CH11231. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under contract number DE-AC02-05CH11231.

Download the Data

WoM data is available as an SQLite database. We recommend you begin by running the .schema command at the SQLite command line.

About WoM

Web of Microbes (WoM) is a repository of experimental assertions on how organisms transform their environments through the increase and decrease of metabolites. These assertions are based on direct experimental evidence obtained through exometabolomic analyses. Currently, the database containes results from carefully curated mass spectrometry datasets from the Northen Metabolomics Lab located at the Joint Genome Institute, a DOE National User Facility of Lawrence Berkeley National Laboratory. WoM captures assertions: metabolite compositions of environments and the changes to metabolite abundances metabolites by organisms in the environment. It is important to note that these transformations are only interpretable in the context of the specific environment since the manner in which an organism may interact with a metabolite in one environment may differ in another.

Terminology

The Web of Microbes is focused on understanding how microorganisms transform their environment and contains data from three constrainable dimensions:

  • ‘Environment’ is the starting metabolite pool that is transformed by the organism(s) and may include anything from synthetic mixtures of metabolites, rich medias, plant exudates, microbial extracts, soil extracts, plant materials, etc. All experiments include a control environment that has not been exposed to the transforming agent.
  • ‘Organism’ is the transforming agent that results in the increase or decrease of metabolites within an environment and may be a monoculture or consortia of organisms (plants, bacterial isolates, native microbial communities from soil, etc.)
  • ‘Metabolite’ includes organic compounds that can be accurately identified and measured in comparison of control and transformed environments.
  • 'The Environment' is actually entered in the database table as an organism since it represents the sterile/pretreated control for which the treatment sample is compared to.

Understanding assertions, compatibility predictions and data viewing features on WoM

The WoM features four data viewing tabs: The first, "The Web", links the actions of microorganisms on metabolites from within a single environment. The other three, "One Environment", "One Metabolite" and "One Organism", allow the user to constrain the data to the dimension as indicated on the tab. For example "One Metabolite" will display a table linking the actions of organisms on the user specified metabolite from within multiple environments. These metabolic actions include the increase or decrease of a metabolite after exposure of an environment to a transforming agent (one or more organsims). There are two types of assertions that are made on the WoM:

  • Assertions of 'present in environment': The metabolite to be annotated as detected in >2/3 replicates. These are indicated by tan table cells or filled in circles on the web.
  • Assertions of 'increase' or 'decrease' by an organism: Metabolites that were significantly different from the control environment versus the transformed environment are asserted as increased (red cells on tables and red lines on The Web) or decreased (blue cells on tables and blue lines on The Web) with darker shading indicating a greater fold change.

Compatibility predictions: On the "One Environment" tab, compatibility scores are calculated to provide either a measure of compatibility between an organism and an environment or between two organisms. Scores are displayed in the column headers after the user selects a reference column by clicking on the column header. The current reference column is marked in yellow, and scores are calculated for all other columns (the scored organsims) in relation to the reference column (reference organism). When "The Environment" is selected as the reference, the Environmental Use Scores are displayed for all scored organisms. When an organsism is displayed as the reference, competition and exchange scores are displayed for all of the scored organsims.

Caveats: Our goal is to make assertions of presence and relative abundances. The shading does not indicate absolute/quantified abundances, thus it is not possible to use the shading to compare abundances of different metabolites (given dramatic differences in certain instrument response functions for metabolites). For example, with mass spectrometry, some abundant metabolites may not be detectable due to poor ionization (e.g. hydrocarbons). Further, the increase/decrease of a metabolite may be due to a number of factors including, for example, active or passive transmembrane transport, extracellular enzymes, and adsorption onto cellular, mineral or culture vessel surfaces.

Using the Web of Microbes

When constraining data to two-dimensional tables/web of assertions, the user must select the value for the constraining dimension. This is done in two ways:

  • Searching: Here the user enters a full or partial name of the desired metabolite/organism/environment in a text box where an automatic wildcard exists at the end of the entered text string. For example ‘s’ can be used to search for all organisms starting with the letter ‘s’ and searching compounds for ‘aden’ returns adenine, adenosine, methyladenosine, etc. Right now this search feature is only available on the "One Metabolite" viewing tab.
  • Dropdown menu: Drop-down menus are also used for selecting the constraining field from a list of options. Right now this feature is available on "The Web", "One Environment" and "One Organism"

Metabolite names and IDs: Metabolite names are given to the level of structural information available. Typically, we are making identifications from samples based on two orthogonal and independent parameters as compared with pure reference standards. In other cases, where we only have limited evidence for an assignment, for example comparison of sample metabolite with an online spectral database, we are making a putative annotation. Right now, these are indicated with parenthases around the metabolite name. In other cases, where only limited structural information is available, a chemical formula, detection value (retention time + m/z) or chemical class is used as the metabolite name.

Current sources of data

  1. Baran R, Bowen BP, Northen TR. Untargeted metabolic footprinting reveals a surprising breadth of metabolite uptake and release by Synechococcus sp. PCC 7002. Mol Biosyst. 2011;7:3200. doi:10.1039/c1mb05196b.
  2. Baran R, Brodie EL, Mayberry-Lewis J, Hummel E, Da Rocha UN, Chakraborty R, et al. Exometabolite niche partitioning among sympatric soil bacteria. Nat Commun. 2015;6:8289. doi:10.1038/ncomms9289.
  3. Kosina SM, Danielewicz MA, Mohammed M, Ray J, Suh Y, Yilmaz S, et al. Exometabolomics Assisted Design and Validation of Synthetic Obligate Mutualism. ACS Synth Biol. 2016;5:569–76. doi:10.1021/acssynbio.5b00236.
  4. Erbilgin O, Bowen BP, Kosina SM, Jenkins S, Lau RK, Northen TR. Dynamic substrate preferences and predicted metabolic properties of a simple microbial consortium. 2016. doi:10.1101/053777.
  5. Kosina SM, Greiner A, Lau RK, Jenkins S, Baran R, Bowen BP, Northen TR. Web of Microbes (WoM): a curated microbial exometabolomics database for linking chemistry and microbes. In Review. 2018.
  6. To contact us with questions, comments, or requests for submitting data, please email webofmicrobes@lbl.gov.