Genome-scale metabolic network reconstructions represent biochemical, genetic, and genomic (BiGG) knowledge bases for a target organism (Reed ). Thus, they correspond to two-dimensional genome annotations: that is, they contain all nodes and links that comprise a biochemical reaction network defined by the genome (Palsson, 2004). These reconstructions allow the conversion of biological knowledge into a mathematical format and subsequent computation of physiological properties. They therefore enable the formulation of a mechanistic genotype–phenotype relationship for metabolic functions in the target organism.The metabolic network reconstruction process is now well established (Thiele and Palsson, 2010) and its workflows have recently been reviewed (Reed ; Feist ). The development of a consensus network reconstruction that is accepted and used by the research community necessitates a collective effort to formalize such networks that are specific to a target organism. This need has led to the concept of a 2D annotation (or a reconstruction) jamboree (Mo and Palsson, 2009), in analogy to the 1D genome annotation jamborees that lead to a community-driven genome annotation process. You may be interested in organizing a jamboree for your favorite target organism. What do you need to do?
Goals of a reconstruction jamboree
The goal of a network reconstruction jamboree is to reconcile and refine currently available BiGG knowledge about the target organism. If available, multiple existing metabolic network reconstructions made by individual research groups provide a great starting point. A jamboree should update, re-evaluate, refine and, later on, expand the network content. These goals are most efficiently achieved through a community approach that assembles experts from different areas.Jamborees assist in fostering collaborations as well as informing the community about the properties, content, and capabilities of the consensus reconstruction to ensure its broad use for biological, biomedical, and biotechnological applications. It is important to establish standards and criteria that guide the jamboree teams. To date, 2D annotation jamborees have been carried out for three target organisms (Saccharomyces cerevisiae (Herrgard ), Salmonella typhimurium LT2, and Homo sapiens).
Who should participate?
The jamboree team has to tackle many different issues and tasks to obtain a target organism-specific consensus reconstruction. Hence, it is important to invite experts in systems biology (for modeling); chemistry and metabolomics (for metabolite information); biochemistry, molecular and cell biology (for reaction and genetic information); and bioinformatics (for gene annotation and database structure).
Information that needs evaluation
At least three areas of metabolic reconstructions require currently detailed attention by the jamboree team, which include metabolites, metabolic reactions, and the gene–protein–reaction (GPR) associations. The information that needs to be associated with these areas has been described in detail in Thiele and Palsson (2010) and is summarized in Box 1.
Reconstruction versus model
Using a confidence-scoring system, one can readily identify reactions with different levels of experimental support. With such a system in place, the consensus reconstruction can be readily converted into a mathematical model, but also allows for rapid elimination of low-confidence reactions if necessary (e.g., for high-throughput data mapping or visualization). Thus, the consensus reconstruction can cover all knowledge about the target organism, while it also highlights included uncertainties, which may be important for biological discovery projects. The use of a confidence scheme therefore allows satisfying both purposes of the consensus reconstruction.
Workflow for ‘how-to do' a reconstruction jamboree
The experience with the first three reconstruction jamborees highlighted that reconstruction protocols and methods need to be standardized to facilitate an optimal outcome for consensus metabolic reconstructions. The same is true with the format and protocol of the reconstruction jamboree itself.A current workflow for reconstruction jamborees is illustrated in Box 2. It consists of three phases: preparation, jamboree meeting, and wrap-up phase. While the jamboree meeting (phase 2) involved the research community to tackle the reconciliation criteria described above, the preparation phase is typically executed by a small number of researchers (‘jamboree council'). This first phase is, naturally, most important for the success of the jamboree and requires some time. The duration of the jamboree meeting will be directly dictated by the time availability of the participants and the amount of material to be evaluated, but may range from 2 to 5 days. Ideally, many of the issues are addressed during the jamboree meeting, and can be assembled and compiled in the wrap-up phase to form a first version of the consensus reconstruction.
Evaluation criteria and standards during the jamboree meeting
The aforementioned goals need to be well structured and clear to all participants. Ideally, an information session about established reconstruction procedures as well as evaluation criteria (see above), followed by a Q&A session, is organized before the hands-on work. This will ensure the quality and value of the jamboree work. During the jamboree, the curators need to provide evidence for their decision (to keep/alter/reject a reaction or GPR association), in the form of publication references and notes. Although notes have the disadvantage that they are readable only by humans, they ensure tractability of the decisions and consensus reconstruction content.Evaluation and decision criteria need to be established, e.g., how current knowledge is evaluated, which reactions/genes should be kept and based on which evidence. This issue becomes particularly important if contradicting results have been published in scientific literature. Since the consensus reconstruction reflects current knowledge, all results should be reported and connected with the consensus reconstruction (e.g., in the form of notes and confidence score). Based on this information, the ‘jamboree council' will need to decide whether a reaction or gene is correctly included in the consensus reconstruction and document decision and evidence accordingly to make the decision tractable for other curators and users. As new information becomes available, this decision will need to be revisited.Furthermore, experimental evidence that has been obtained not from the target organism but from related species needs to be highlighted by the curator (e.g., those that are important for human metabolic reconstruction or for less well-studied organisms). An appropriate vocabulary needs to be established.
In closing
A 2D annotation jamboree provides a forum for bringing researchers together to build an organism-specific BiGG knowledge base, and for fostering ensuing collaboration and scientific communication. Ideally, a jamboree should be held regularly, e.g., every other year, depending on the community size around the target organism, availability of new data (e.g., biochemical, genetic, proteomic, metabolomic), and integration of additional cellular functions (e.g., signaling pathways, transcriptional regulation, etc.). For example, the second yeast reconstruction jamboree is currently planned (Pedro Mendes, personal communication). The continuous update will ensure that the consensus reconstruction will serve as a starting point for question- and condition-specific models, as well as that new experimental evidence, which may be derived from the reconciliation, is captured and incorporated. A well-crafted and executed reconstruction jamboree should accelerate the understanding of the systems biology of the target organism, as well as provide the platform for targeted experimental investigation for biological discovery, understanding, and synthesis.
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Authors: Teri A Manolio; Marc Abramowicz; Fahd Al-Mulla; Warwick Anderson; Rudi Balling; Adam C Berger; Steven Bleyl; Aravinda Chakravarti; Wasun Chantratita; Rex L Chisholm; Vajira H W Dissanayake; Michael Dunn; Victor J Dzau; Bok-Ghee Han; Tim Hubbard; Anne Kolbe; Bruce Korf; Michiaki Kubo; Paul Lasko; Erkki Leego; Surakameth Mahasirimongkol; Partha P Majumdar; Gert Matthijs; Howard L McLeod; Andres Metspalu; Pierre Meulien; Satoru Miyano; Yaakov Naparstek; P Pearl O'Rourke; George P Patrinos; Heidi L Rehm; Mary V Relling; Gad Rennert; Laura Lyman Rodriguez; Dan M Roden; Alan R Shuldiner; Sukdeb Sinha; Patrick Tan; Mats Ulfendahl; Robyn Ward; Marc S Williams; John E L Wong; Eric D Green; Geoffrey S Ginsburg Journal: Sci Transl Med Date: 2015-06-03 Impact factor: 17.956
Authors: Ines Thiele; Neil Swainston; Ronan M T Fleming; Andreas Hoppe; Swagatika Sahoo; Maike K Aurich; Hulda Haraldsdottir; Monica L Mo; Ottar Rolfsson; Miranda D Stobbe; Stefan G Thorleifsson; Rasmus Agren; Christian Bölling; Sergio Bordel; Arvind K Chavali; Paul Dobson; Warwick B Dunn; Lukas Endler; David Hala; Michael Hucka; Duncan Hull; Daniel Jameson; Neema Jamshidi; Jon J Jonsson; Nick Juty; Sarah Keating; Intawat Nookaew; Nicolas Le Novère; Naglis Malys; Alexander Mazein; Jason A Papin; Nathan D Price; Evgeni Selkov; Martin I Sigurdsson; Evangelos Simeonidis; Nikolaus Sonnenschein; Kieran Smallbone; Anatoly Sorokin; Johannes H G M van Beek; Dieter Weichart; Igor Goryanin; Jens Nielsen; Hans V Westerhoff; Douglas B Kell; Pedro Mendes; Bernhard Ø Palsson Journal: Nat Biotechnol Date: 2013-03-03 Impact factor: 54.908