Adventures in<i>Rhodococcus</i> — from steroids to explosivesThis article is based on a presentation by Dr. Lindsay Eltis at the 60th Annual Meeting of the Canadian Society of Microbiologists in Hamilton, Ontario, 14 June 2010. Dr. Eltis was the recipient of the 2010 Norgen Biotek Corporation / CSM Award, an annual award sponsored by Norgen Biotek and the Canadian Society of Microbiologists intended to recognize outstanding scientific work in microbiology by a Canadian researcher.
Bibliographic record
Abstract
Rhodococcus is a genus of mycolic-acid-containing actinomycetes that utilize a remarkable variety of organic compounds as growth substrates. This degradation helps maintain the global carbon cycle and has increasing applications ranging from the biodegradation of pollutants to the biocatalytic production of drugs and hormones. We have been using Rhodococcus jostii RHA1 as a model organism to understand the catabolic versatility of Rhodococcus and related bacteria. Our approach is exemplified by the discovery of a cluster of genes specifying the catabolism of cholesterol. This degradation proceeds via β-oxidative degradation of the side chain and O2-dependent cleavage of steroid ring A in a process similar to bacterial degradation of aromatic compounds. The pathway is widespread in Actinobacteria and is critical to the pathogenesis of Mycobacterium tuberculosis, arguably the world's most successful pathogen. The close similarity of some of these enzymes with biphenyl- and polychlorinated-biphenyl-degrading enzymes that we have characterized is facilitating inhibitor design. Our studies in RHA1 have also provided important insights into a number of novel metalloenzymes and their biosynthesis, such as acetonitrile hydratase (ANHase), a cobalt-containing enzyme with no significant sequence identity with characterized nitrile hydratases. Molecular genetic and biochemical studies have identified AnhE as a dimeric metallochaperone that delivers cobalt to ANHase, enabling its maturation in vivo. Other metalloenzymes we are characterizing include N-acetylmuramic acid hydroxylase, which catalyzes an unusual hydroxylation of the rhodococcal and mycobacterial peptidoglycan, and 2 RHA1 dye-decolorizing peroxidases. Using molecular genetic and biochemical approaches, we have demonstrated that one of these enzymes is involved in the degradation of lignin. Overall, our studies are providing fundamental insights into a range of catabolic processes that have a wide variety of applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".