Felix de Haas | PubMed Health

PubMed2006

Structure of the bacteriophage phi6 nucleocapsid suggests a mechanism for sequential RNA packaging.

Bacteriophage phi6 is an enveloped dsRNA virus with a segmented genome. Phi6 specifically packages one copy of each of its three genome segments into a preassembled polymerase complex. This leads to expansion of the polymerase complex, minus and plus strand RNA synthesis, and assembly of the nucleocapsid. The phi6 in vitro assembly and packaging system is a valuable model for dsRNA virus replication. The structure of the nucleocapsid at 7.5 A resolution presented here reveals the secondary structure of the two major capsid proteins. Asymmetric P1 dimers organize as an inner T = 1 shell, and P8 trimers organize as an outer T = 13 laevo shell. The organization of the P1 molecules in the unexpanded and expanded polymerase complex suggests that the expansion is accomplished by rigid body movements of the P1 monomers. This leads to exposure of new potential RNA binding surfaces to control the sequential packaging of the genome segments.

Bacteriophage phi 6↗

PubMedDate not supplied

Automatic particle selection: results of a comparative study.

Manual selection of single particles in images acquired using cryo-electron microscopy (cryoEM) will become a significant bottleneck when datasets of a hundred thousand or even a million particles are required for structure determination at near atomic resolution. Algorithm development of fully automated particle selection is thus an important research objective in the cryoEM field. A number of research groups are making promising new advances in this area. Evaluation of algorithms using a standard set of cryoEM images is an essential aspect of this algorithm development. With this goal in mind, a particle selection "bakeoff" was included in the program of the Multidisciplinary Workshop on Automatic Particle Selection for cryoEM. Twelve groups participated by submitting the results of testing their own algorithms on a common dataset. The dataset consisted of 82 defocus pairs of high-magnification micrographs, containing keyhole limpet hemocyanin particles, acquired using cryoEM. The results of the bakeoff are presented in this paper along with a summary of the discussion from the workshop. It was agreed that establishing benchmark particles and using bakeoffs to evaluate algorithms are useful in promoting algorithm development for fully automated particle selection, and that the infrastructure set up to support the bakeoff should be maintained and extended to include larger and more varied datasets, and more criteria for future evaluations.

Algorithms↗