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== Introduction ==
== Introduction ==


Symbiotic interactions between protists and prokaryotes, described with structured data.
This project aims to describe symbiotic interactions between protists and prokaryotes as [https://en.wikipedia.org/wiki/Linked_data Linked Open Data]. Information in the database is compiled from the scientific literature; ~700 symbiotic interactions described in ~380 scientific publications are represented at present. The database is hosted on [https://www.wikibase.cloud/ Wikibase Cloud], a hosting service for Wikibase instances provided by [https://www.wikimedia.de/ Wikimedia Deutschland].


The aim is to model information about:
What can the database be used for?
* Taxonomy of both hosts and symbionts, with links to external databases (primarily NCBI)
* Search and browse symbiotic interactions by biological taxonomy, leveraging cross-references to external taxonomies and databases
* Localization of symbionts in cellular compartments of the host cell, using Gene Ontology terms
* Find interactions that were described in earlier literature but not yet studied with modern methods
* Nature of biotic interactions, if this is known, using Relation Ontology terms (although there are some limitations in this ontology for describing mutualistic interactions)
* Programatically find sequence data, literature, etc. by querying the NCBI databases using linked NCBI taxon IDs
* Analytical methods used to study the symbioses
* Share data to be indexed in [https://www.globalbioticinteractions.org/ GloBI], through [https://github.com/kbseah/ppsdb-globi-export periodic data exports]


The information was originally collected as part of my [http://nbn-resolving.de/urn:nbn:de:gbv:46-00106172-12 doctoral dissertation] (2017).  
Documentation of the workflow and project administration is linked from [[Project:Main]]. Your questions may be answered at [[Project:Q&A]]
 
==Updates==
 
* 2024-09-21 : Addshore, the original developer of the precursor to Wikibase.cloud (WBStack), wrote a [https://addshore.com/2024/09/2-years-of-wikibase-cloud-by-wmde/ blog post] reflecting on the past two years since the project was transferred to Wikimedia Deutschland. I contributed a short user testimonial.
* 2024-08-26 : Released a [https://doi.org/10.32942/X2ZW4S preprint manuscript] describing the database motivation and design, intended for biologists who may use the database or want to build similar projects


==Explore the data==
==Explore the data==


View this entry as an example of how the data are modelled: [[Item:Q22|Parduczia sp.]] ("brown ciliate" of Beinart et al.)
Some example entries to see how the data are modeled:
 
* [[Item:Q22|''Parduczia'' sp. from Santa Barbara Basin]] ("brown ciliate"), a marine ciliate
* [[Item:Q206|''Pelomyxa palustris'']], a freshwater amoebozoan
* [[Item:Q296|''Mixotricha paradoxa'']], itself a hint gut symbiont of the termite [[Item:Q298|''Mastotermes darwiniensis'']]
* [[Item:Q141|''Candidatus'' Megaira polyxenophila]], a bacterial endosymbiont of a diverse array of protists and algae
 
Each interaction statement is supported by one or more references to the scientific literature, linked by their DOI if available.
 
Entities (e.g. taxa, publications) can be found by a '''free-text search''' of their labels with the search bar (top of each page) or at [[Special:Search]].
 
'''Semantic queries''', which make use of the data model (e.g. "find host species where symbionts are Alphaproteobacteria"), require the use of the SPARQL query language. Use the Query Service (link on menu bar) to launch SPARQL queries; try the [[Project:SPARQL/examples|example queries]] to get started.
 
==Data linking==
 
We wish to capture different facets of symbiotic interactions, and link these to other databases and ontologies.
 
{| class="wikitable"
! Information
! Relevant database or ontology
|-
| Taxonomy of interacting organisms
| [https://www.ncbi.nlm.nih.gov/taxonomy NCBI Taxonomy], [https://www.wikidata.org/ Wikidata]
|-
| Localization of symbionts in host organism
| [https://geneontology.org/ Gene Ontology], [https://www.ebi.ac.uk/ols4/ontologies/uberon Uberon]
|-
| Nature of biotic interactions, if known/inferred
| [https://oborel.github.io/ Relation Ontology]
|-
| Analytical methods used to identify organisms or interaction type
| [https://obi-ontology.org/ OBI], [https://www.evidenceontology.org/ Evidence Ontology]
|-
| Environment where organisms were isolated
| [https://sites.google.com/site/environmentontology/ Environment Ontology]
|-
| Representative SSU rRNA or genome sequences
| [https://www.ncbi.nlm.nih.gov/genbank/ Genbank]
|-
| Scientific publications describing symbiosis
| DOI, [https://www.wikidata.org/ Wikidata]
|}
 
Terms will be linked to other linked open data or ontologies, if there is a suitable exact match. The [https://www.ebi.ac.uk/ols4/ EMBL-EBI Ontology Lookup Service] is a useful resource for browsing life science related ontologies.


Use the Query Service (link on menu bar) to launch SPARQL queries; have a look at some of the [[Project:SPARQL/examples|example queries]] to get started.
==Links==


== Q & A ==
This project originated as part of my [http://nbn-resolving.de/urn:nbn:de:gbv:46-00106172-12 doctoral dissertation] (2017).


; Why use a single 'interacts with' statement, with qualifiers for interaction type, instead of different properties for each interaction type?
Similar projects elsewhere:
: Nature of an interaction is often not fully understood, or may have multiple facets. Coding interaction types as qualifiers allows us to stack multiple functional roles on a single interaction
* [https://www.globalbioticinteractions.org Global Biotic Interactions (GloBI)] ([https://doi.org/10.1016/j.ecoinf.2014.08.005 Poelen et al., 2014]) an aggregator for biotic interactions datasets across all domains of life
; What is a [[Item:Q56|placeholder taxon]]?
* [https://github.com/ramalok/PIDA Protist Interaction Database (PIDA)] ([https://doi.org/10.1038/s41396-019-0542-5 Bjorbækmo et al., 2019]) (last updated 2018)
: We would like to model taxonomic relationships ("find taxa that are members of Ciliophora") and also link out to external databases, particularly NCBI. However, there is often a discrepancy between NCBI Taxonomy and the "actual" taxonomy.
* [https://github.com/FloraVincent/DIDB Diatom Interaction Database (DIDB)] ([https://doi.org/10.1128/msystems.00444-19 Vincent & Bowler, 2020]) (last updated 2019)
: For example, the [[Item:Q22|brown ciliate]] is reported as a Parduczia sp. based on sequence analysis, but the sequences from that study are published under a placeholder "ciliate metagenome" identifier on NCBI.
* [http://www.aquasymbio.fr/ AQUASYMBIO] (last updated 2017)

Latest revision as of 09:41, 23 September 2024

Introduction

This project aims to describe symbiotic interactions between protists and prokaryotes as Linked Open Data. Information in the database is compiled from the scientific literature; ~700 symbiotic interactions described in ~380 scientific publications are represented at present. The database is hosted on Wikibase Cloud, a hosting service for Wikibase instances provided by Wikimedia Deutschland.

What can the database be used for?

  • Search and browse symbiotic interactions by biological taxonomy, leveraging cross-references to external taxonomies and databases
  • Find interactions that were described in earlier literature but not yet studied with modern methods
  • Programatically find sequence data, literature, etc. by querying the NCBI databases using linked NCBI taxon IDs
  • Share data to be indexed in GloBI, through periodic data exports

Documentation of the workflow and project administration is linked from Project:Main. Your questions may be answered at Project:Q&A

Updates

  • 2024-09-21 : Addshore, the original developer of the precursor to Wikibase.cloud (WBStack), wrote a blog post reflecting on the past two years since the project was transferred to Wikimedia Deutschland. I contributed a short user testimonial.
  • 2024-08-26 : Released a preprint manuscript describing the database motivation and design, intended for biologists who may use the database or want to build similar projects

Explore the data

Some example entries to see how the data are modeled:

Each interaction statement is supported by one or more references to the scientific literature, linked by their DOI if available.

Entities (e.g. taxa, publications) can be found by a free-text search of their labels with the search bar (top of each page) or at Special:Search.

Semantic queries, which make use of the data model (e.g. "find host species where symbionts are Alphaproteobacteria"), require the use of the SPARQL query language. Use the Query Service (link on menu bar) to launch SPARQL queries; try the example queries to get started.

Data linking

We wish to capture different facets of symbiotic interactions, and link these to other databases and ontologies.

Information Relevant database or ontology
Taxonomy of interacting organisms NCBI Taxonomy, Wikidata
Localization of symbionts in host organism Gene Ontology, Uberon
Nature of biotic interactions, if known/inferred Relation Ontology
Analytical methods used to identify organisms or interaction type OBI, Evidence Ontology
Environment where organisms were isolated Environment Ontology
Representative SSU rRNA or genome sequences Genbank
Scientific publications describing symbiosis DOI, Wikidata

Terms will be linked to other linked open data or ontologies, if there is a suitable exact match. The EMBL-EBI Ontology Lookup Service is a useful resource for browsing life science related ontologies.

Links

This project originated as part of my doctoral dissertation (2017).

Similar projects elsewhere:

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