Full-length RNA structure prediction of the HIV-1 genome reveals a conserved core domain

A distance constrained secondary structural model of the ≈10 kb RNA genome of the HIV-1 has been predicted but higher-order structures, involving long distance interactions, are currently unknown. We present the first global RNA secondary structure model for the HIV-1 genome, which integrates both comparative structure analysis and information from experimental data in a full-length prediction with-out distance constraints. Besides recovering known structural elements, we predict several novel struc-tural elements that are conserved in HIV-1 evolution. Our results also indicate that the structure of the HIV-1 genome is highly variable in most regions, with a limited number of stable and conserved RNA sec-ondary structures. Most interesting, a set of long distance interactions form a core organizing struc-ture (COS) that organize the genome into three ma-jor structural domains. Despite overlapping protein-coding regions the COS is supported by a particu-lar high frequency of compensatory base changes, suggesting functional importance for this element. This new structural element potentially organizes the whole genome into three major domains protruding from a conserved core structure with potential roles in replication and evolution for the virus

Genus trace reveals the topological complexity and domain structure of biomolecules

The structure of bonds in biomolecules, such as base pairs in RNA chains or native interactions in proteins, can be presented in the form of a chord diagram. A given biomolecule is then characterized by the genus of an auxiliary two-dimensional surface associated to such a diagram. In this work we introduce the notion of the genus trace, which describes dependence of genus on the choice of a subchain of a given backbone chain. We find that the genus trace encodes interesting physical and biological information about a given biomolecule and its three dimensional structural complexity; in particular it gives a way to quantify how much more complicated a biomolecule is than its nested secondary structure alone would indicate. We illustrate this statement in many examples, involving both RNA and protein chains. First, we conduct a survey of all published RNA structures with better than 3 Å resolution in the PDB database, and find that the genus of natural structural RNAs has roughly linear dependence on their length. Then, we show that the genus trace captures properties of various types of base pairs in RNA, and enables the identification of the domain structure of a ribosome. Furthermore, we find that not only does the genus trace detect a domain structure, but it also predicts a cooperative folding pattern in multi-domain proteins. The genus trace turns out to be a useful and versatile tool, with many potential applications

The tmRDB and SRPDB resources

Maintained at the University of Texas Health Science Center at Tyler, Texas, the tmRNA database (tmRDB) is accessible at the URL with mirror sites located at Auburn University, Auburn, Alabama () and the Royal Veterinary and Agricultural University, Denmark (). The signal recognition particle database (SRPDB) at is mirrored at and the University of Goteborg (). The databases assist in investigations of the tmRNP (a ribonucleoprotein complex which liberates stalled bacterial ribosomes) and the SRP (a particle which recognizes signal sequences and directs secretory proteins to cell membranes). The curated tmRNA and SRP RNA alignments consider base pairs supported by comparative sequence analysis. Also shown are alignments of the tmRNA-associated proteins SmpB, ribosomal protein S1, alanyl-tRNA synthetase and Elongation Factor Tu, as well as the SRP proteins SRP9, SRP14, SRP19, SRP21, SRP54 (Ffh), SRP68, SRP72, cpSRP43, Flhf, SRP receptor (alpha) and SRP receptor (beta). All alignments can be easily examined using a new exploratory browser. The databases provide links to high-resolution structures and serve as depositories for structures obtained by molecular modeling

The importance of being modular

DNA is the material of choice for making custom-designed, nanoscale shapes and patterns through self-assembly. A new technique revisits old ideas to enable the rapid prototyping of more than 100 such DNA shapes

Dimerization and Template Switching in the 5′ Untranslated Region between Various Subtypes of Human Immunodeficiency Virus Type 1

The human immunodeficiency virus type 1 (HIV-1) particle contains two identical RNA strands, each corresponding to the entire genome. The 5′ untranslated region (UTR) of each RNA strand contains extensive secondary and tertiary structures that are instrumental in different steps of the viral replication cycle. We have characterized the 5′ UTRs of nine different HIV-1 isolates representing subtypes A through G and, by comparing their homodimerization and heterodimerization potentials, found that complementarity between the palindromic sequences in the dimerization initiation site (DIS) hairpins is necessary and sufficient for in vitro dimerization of two subtype RNAs. The 5′ UTR sequences were used to design donor and acceptor templates for a coupled in vitro dimerization-reverse transcription assay. We showed that template switching during reverse transcription is increased with a matching DIS palindrome and further stimulated proportional to the level of homology between the templates. The presence of the HIV-1 nucleocapsid protein NCp7 increased the template-switching efficiency for matching DIS palindromes twofold, whereas the recombination efficiency was increased sevenfold with a nonmatching palindrome. Since NCp7 did not effect the dimerization of nonmatching palindromes, we concluded that the protein most likely stimulates the strand transfer reaction. An analysis of the distribution of template-switching events revealed that it occurs throughout the 5′ UTR. Together, these results demonstrate that the template switching of HIV-1 reverse transcriptase occurs frequently in vitro and that this process is facilitated mainly by template proximity and the level of homology