SOP for pathway inference in Integrated Microbial Genomes (IMG)
© The Author(s) 2011
Published: 31 December 2011
One of the most important aspects of genomic analysis is the prediction of which pathways, both metabolic and non-metabolic, are present in an organism. In IMG, this is carried out by the assignment of IMG terms, which are organized into IMG pathways. Based on manual and automatic assignment of IMG terms, the presence or absence of IMG pathways is automatically inferred. The three categories of pathway assertion are asserted (likely present), not asserted (likely absent), and unknown. In the unknown category, at least one term necessary for the pathway is missing, but an ortholog in another organism has the corresponding term assigned to it. Automatic pathway inference is an important initial step in genome analysis.
The assignment of genes to pathways in IMG begins with the assignment of IMG terms. IMG terms are a set of functional assignments curated by members of the Genome Biology Program (GBP) at the Joint Genome Institute (JGI). There are three types of IMG terms: Gene Product, Modified Protein, and Protein Complex. Gene Product terms are assigned directly to genes. Modified Protein refers to a covalently or non-covalently modified protein, for example a phosphorylated protein or a protein that binds a cofactor. Protein Complex terms are associations of two or more IMG terms, where the components of the complex can be any of the three types of IMG terms. This multi-level organization of IMG terms is designed to disambiguate association between reactions and genes in cases of complex catalysts, such as multi-subunit enzymes, which may require multiple cofactors and undergo a multi-step maturation process. As a result, the information about all genes and pathways required for activity of the catalysts is explicitly recorded in IMG, which enables more precise automated inference of the presence of individual reactions and entire pathways. More information about the rationale for IMG terms can be found in the Using IMG section of the IMG website .
With the huge number of genomes available, it would be too large a task to go through each genome individually to determine which pathways are present, so the process must be automated. Automated pathway inference has several goals. The first is to predict which pathways are found in a given organism. If physiological studies of the organism have been carried out, then the experimental results can be compared with the automated pathway inference results. Two other goals of pathway inference are 1) to identify errors in the assignment of IMG terms to genes, and 2) to identify “missing” genes. If a pathway is known to be present in an organism but it is not asserted as being present, then one possibility is that a gene should have a term from this pathway assigned to it, but it was not assigned during the annotation process. If a search for a gene that should have this term assigned is successful, the term can then be assigned and the gap filled. If the search is not successful, then this gene function is missing, meaning that it can not be found based on similarity to genes that are known to have this activity. In this case, it is possible that a new protein family will be found to have this activity. Another goal of pathway inference is to find new physiological functions for an organism. Genes for a pathway that was thought to be absent may be found in the genome. For example, Ferroglobus placidus is known to perform partial denitrification by reducing nitrate to nitrous oxide, but dinitrogen production was not detected . However, in the genome there is a gene with a strong similarity to nitrous oxide reductases, suggesting that under some conditions this organism may produce dinitrogen.
The first step of automated pathway inference in IMG is to check if catalysts for all reactions of a pathway are present in the organism. In some pathways there are alternative catalysts for certain reactions or alternative reactions that differ in their coenzyme specificity (for instance, NADH or NADPH). In the example in Figure 1 there are two alternatives at step 4, helicase loading through ring-breaking or ring-making mechanism. Both reactions result in assembly of a hexameric ring of replicative DNA helicase with DNA bound in its central channel. However, the mechanism of assembly is different in different bacteria and requires assistance of different proteins called helicase loaders . Only one of these alternatives needs to be present for the pathway to be asserted. If a protein complex carries out a step in the pathway, all components of the complex must be present. For example in Figure 1, step 2 requires subunit A and subunit B of DNA gyrase.
Automatic IMG pathway assertion is implemented in a Perl program that interacts with the IMG Oracle database. The program iterates through all IMG pathways and organisms and checks whether the organism has genes associated with IMG terms needed in each reaction of the pathway. Authorized users are able to manually curate the pathway assertion status. If a pathway has been manually curated for an organism, then the program will skip this combination of pathway and organism. Automatic pathway assertion is done three times per year, in sync with each major release of IMG.
The interpretation of a sequenced genome requires a comparison between experimentally determined physiological data and analysis of the pathways encoded in the genome sequence. Automatic pathway inference is an initial step for analysis of the capabilities of the organism under study. Discrepancies between the automatic predictions and the known biology can serve as starting points for further experimental studies. Automated pathway assertion is currently available in the public version of IMG.
- IMG website. http://img.jgi.doe.goV/w/doc/imgterms.html
- BioPAX — Biological Pathway Exchange. http://www.biopax.org
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