Three-dimensional structure model and predicted ATP interaction rewiring of a deviant RNA ligase 2.

BACKGROUND: RNA ligases 2 are scarce and scattered across the tree of life. Two members of this family are well studied: the mitochondrial RNA editing ligase from the parasitic trypanosomes (Kinetoplastea), a promising drug target, and bacteriophage T4 RNA ligase 2, a workhorse in molecular biology. Here we report the identification of a divergent RNA ligase 2 (DpRNL) from Diplonema papillatum (Diplonemea), a member of the kinetoplastids' sister group. METHODS: We identified DpRNL with methods based on sensitive hidden Markov Model. Then, using homology modeling and molecular dynamics simulations, we established a three dimensional structure model of DpRNL complexed with ATP and Mg2+. RESULTS: The 3D model of Diplonema was compared with available crystal structures from Trypanosoma brucei, bacteriophage T4, and two archaeans. Interaction of DpRNL with ATP is predicted to involve double π-stacking, which has not been reported before in RNA ligases. This particular contact would shift the orientation of ATP and have considerable consequences on the interaction network of amino acids in the catalytic pocket. We postulate that certain canonical amino acids assume different functional roles in DpRNL compared to structurally homologous residues in other RNA ligases 2, a reassignment indicative of constructive neutral evolution. Finally, both structure comparison and phylogenetic analysis show that DpRNL is not specifically related to RNA ligases from trypanosomes, suggesting a unique adaptation of the latter for RNA editing, after the split of diplonemids and kinetoplastids. CONCLUSION: Homology modeling and molecular dynamics simulations strongly suggest that DpRNL is an RNA ligase 2. The predicted innovative reshaping of DpRNL's catalytic pocket is worthwhile to be tested experimentally.

A simple separation method for downstream biochemical analysis of aquatic microbes.

In order to study the chemical composition of aquatic microbes it is necessary to obtain completely separated fractions of subpopulations. Size separation by filtration is usually unsuccessful because the smaller group of organisms contaminates the larger fractions due to being trapped on filter surfaces of nominally much larger pore sizes. Here we demonstrate that a simple sucrose density separation method allowed us to separate microorganisms of even subtle size differences and to determine their bulk biochemical composition (proteins, polysaccharides+nucleic acids, and lipids). Both autotrophs and heterotrophs (through anaplerotic pathways) were labeled with (14)C-bicarbonate for biochemical fractionation. We provided proof of concept that eukaryotic microbes could be cleanly separated from prokaryotes in cultures and in field samples, enabling detection of differences in their biochemical makeup. We explored methodological issues regarding separation mechanisms, fixation, and pre-concentration via tangential flow filtration of oligotrophic marine waters where abundances of microorganisms are comparably low. By selecting an appropriate centrifugal force, two processes (i.e., isopycnal and rate-zonal separation) can be exploited simultaneously resulting in finely-separated density fractions, which also resulted in size separation. Future applications of this method include exploration of the stoichiometric, biochemical and genetic differences among subpopulations of microbes in a wide variety of aquatic environments.

Identification of divergent WH2 motifs by HMM-HMM alignments.

BACKGROUND: The actin cytoskeleton is a hallmark of eukaryotic cells. Its regulation as well as its interaction with other proteins is carefully orchestrated by actin interaction domains. One of the key players is the WH2 motif, which enables binding to actin monomers and filaments and is involved in the regulation of actin nucleation. Contrasting conserved domains, the identification of this motif in protein sequences is challenging, as it is short and poorly conserved. FINDINGS: To identify divergent members, we combined Hidden-Markov-Model (HMM) to HMM alignments with orthology predictions. Thereby, we identified nearly 500 proteins containing so far not annotated WH2 motifs. This included shootin-1, an actin binding protein involved in neuron polarization. Among others, WH2 motifs of 'proximal to raf' (ptr)-orthologs, which are described in the literature, but not annotated in genome databases, were identified. CONCLUSION: In summary, we increased the number of WH2 motif containing proteins substantially. This identification of candidate regions for actin interaction could steer their experimental characterization. Furthermore, the approach outlined here can easily be adapted to the identification of divergent members of further domain families.