Mycobacterium tuberculosis is one of the most successful pathogens in the world,
still responsible for millions of deaths each year. Nearly half of its protein
coding genes have functions that are unknown. We are a Functional Genomics
Resource Center funded by NIAID, with the goal of defining functions for unknown ORFs,
hypothetical genes, and non-coding RNAs in Mtb. On this site you can learn more about
our project, access our data, and find information on a specific Mtb gene by using
the search box above.
Functional classes of Mtb genes
New functions discovered for previously unknown genes
- Rv0955, essential unknown ORF: cell division (GO:0051301)
- Rv3005c, conditionally essential hypothetical gene: superoxide dismutase complex (GO:1902693) and cell redox homeostasis (GO:0045454)
- Rv1130c, conditionally essential hypothetical gene: 2-methylcitrate dehydratase (GO:0047547)
Vast quantities of new genome sequence are added to public databases on a daily basis. But, while we are
constantly deluged with new gene sequences we still have a limited ability to define their functions. Almost all
functions are defined by comparison with genes from other strains in which experimental data are available.
But these experimental data have not kept pace with the availability of new sequence. In fact, for most
bacterial species, many genes have no known function and even those that are annotated have only limited
information. This is particularly striking for Mycobacterium tuberculosis (Mtb), where only 52% of
protein-coding genes have a putative function.
We plan to discover the roles of genes from Mtb, an important and widespread human pathogen, with previously
unknown functions. Critically, we will target genes that fulfill vital roles in bacterial growth and survival,
genes we have previously identified in genome-wide screens. This offers three major advantages. First, we will
concentrate on only the most important unannotated genes. Second, phenotypes allow us to use the power of
synthetic lethality to identify interactions. And third, phenotypes provide us with a context in which we can
understand the outcome of biochemical and genetic assays. In addition to defining the roles for Mtb genes we
aim to establish an efficient pathway for identifying gene function that can serve as a paradigm for other
bacterial species. To accomplish this we will undertake an ambitious program to construct large numbers of
Mtb mutants. This will be possible as we will take advantage of substantial mycobacterial genetic expertise
among the participants. Moreover, we will use a number of analytic modalities brought in through a set of highly
interconnected projects and cores.
This project is funded by the NIH as part of the NIAID Functional Genomics Program.
The NIAID Functional Genomics Program for understanding the functions of uncharacterized genes in infectious disease pathogens
will generate experimental data to determine the biochemical function(s) of hypothetical genes, unknown open reading frames,
and noncoding RNAs. The program will apply state-of-the-art technologies to determine the biochemical and physiological roles
of these gene components. Obtaining a more comprehensive understanding of uncharacterized genes in infectious disease pathogens
will lead to improved genomic annotation and allow for the development of potential new targets for medical diagnostics,
therapeutics and vaccines. The program will distribute data, software, and reagents generated from the research projects
to the broader scientific community.