Structural themes and variations in protein kinase A as seen by small-angle scattering and neutron contrast variation

Using small-angle solution scattering and neutron contrast variation, we have studied the structure of the multi-subunit protein kinase A. We have gained insights into how nature can take a set of common structural domains (or themes) and modulate their interactions via sequence variations and second messenger mediated signaling to affect enzyme activity and receptor binding important for targeting this multi-function enzyme to specific sub-cellular locations. These studies demonstrate the power of neutron contrast variation to expand our knowledge of the dynamic supra-molecular structures that carry out biological function.     

DNA and RNA within the nucleus: How much sequence-specific spatial organization?

Spatial organization of various nuclear components is often proposed as a means by which nuclei more efficiently carry out their various tasks. Such functional compartmentalization may involve a sequence-specific packaging and placement of DNA and RNA. Here we review recent insights, allowed primarily by advances in fluorescent in situ hybridization methodology, into the organization of nucleic acids within individual nuclei.     

Informatics challenges in structured RNA

The world of regulatory RNAs is fast expanding into mainstream molecular biology as both a subject of intense mechanistic study and as a tool for functional characterization. The RNA world is one of complex structures that carry out catalysis, sense metabolites and synthesize proteins. The dynamic and structural nature of RNAs presents a whole new set of informatics challenges to the computational community. The ability to relate structure and dynamics to function will be key to understanding this complex world. I review several important classes of structured RNAs that present our community with a series of biologically novel informatics challenges. I also review available informatics tools that have been recently developed in the field.     

Application of NMR and EPR methods to the study of RNA

The application of techniques based on magnetic resonance, specifically electron paramagnetic resonance (EPR) and nuclear magnetic resonance (NMR), has provided a wealth of new information on RNA structures, as well as insights into the dynamics and function of these important biomolecules. NMR spectroscopy is very successful for determining the solution structures of small RNA domains, aptamers and ribozymes, and exploring their intramolecular dynamics and interactions with ligands. EPR-based methods have been used to map local dynamic and structural features of RNA, to explore different modes of RNA-ligand interaction, to obtain long-range structural restraints and to probe metal-ion-binding sites.     

The impacts of landscape structure on the winter movements and habitat selection of female red deer

An area of research that has recently gained more attention is to understand how species respond to environmental change such as the landscape structure and fragmentation. Movement is crucial to select habitats but the landscape structure influences the movement patterns of animals. Characterising the movement characteristics, utilisation distribution (UD) and habitat selection of a single species in different landscapes can provide important insights into species response to changes in the landscape. We investigate these three fields in female red deer (Cervus elaphus) in southern Sweden, in order to understand how landscape structure influences their movement and feeding patterns. Movements are compared between two regions, one dominated by a fragmented agriculture–forest mosaic and the other by managed homogenous forest. Red deer in the agriculture-dominated landscape had larger UDs compared to those in the forest-dominated area, moved larger distances between feeding and resting and left cover later in the day but used a similar duration for their movements, suggesting faster travelling speeds between resting and feeding locations. The habitat selection patterns of red deer indicate a trade-off between forage and cover, selecting for habitats that provide shelter during the day and forage by night. However, the level of trade-off, mediated through movement and space use patterns, is influenced by the landscape structure. Our approach provides further understanding of the link between individual animal space use and changing landscapes and can be applied to many species able to carry tracking devices.     

RNA空间编码探析

RNA空间结构同线性结构一样包含着重要的生物信息。RNA空间编码蕴含了RNA功能信息。RNA空间编码具有简并性、通用性、动态性、重叠性、间隔性和方向性等性质。本文对RNA空间编码的概念和性质进行了初步探讨。     

Improved prediction of RNA tertiary structure with insights into native state dynamics

The importance of RNA tertiary structure is evident from the growing number of published high resolution NMR and X-ray crystallographic structures of RNA molecules. These structures provide insights into function and create a knowledge base that is leveraged by programs such as Assemble, ModeRNA, RNABuilder, NAST, FARNA, Mc-Sym, RNA2D3D, and iFoldRNA for tertiary structure prediction and design. While these methods sample native-like RNA structures during simulations, all struggle to capture the native RNA conformation after scoring. We propose RSIM, an improved RNA fragment assembly method that preserves RNA global secondary structure while sampling conformations. This approach enhances the quality of predicted RNA tertiary structure, provides insights into the native state dynamics, and generates a powerful visualization of the RNA conformational space. RSIM is available for download from http://www.github.com/jpbida/rsim.     

Applying landscape genetics to the microbial world

Landscape genetics, which explicitly quantifies landscape effects on gene flow and adaptation, has largely focused on macroorganisms, with little attention given to microorganisms. This is despite overwhelming evidence that microorganisms exhibit spatial genetic structuring in relation to environmental variables. The increasing accessibility of genomic data has opened up the opportunity for landscape genetics to embrace the world of microorganisms, which may be thought of as ‘the invisible regulators’ of the macroecological world. Recent developments in bioinformatics and increased data accessibility have accelerated our ability to identify microbial taxa and characterize their genetic diversity. However, the influence of the landscape matrix and dynamic environmental factors on microorganism genetic dispersal and adaptation has been little explored. Also, because many microorganisms coinhabit or codisperse with macroorganisms, landscape genomic approaches may improve insights into how micro‐ and macroorganisms reciprocally interact to create spatial genetic structure. Conducting landscape genetic analyses on microorganisms requires that we accommodate shifts in spatial and temporal scales, presenting new conceptual and methodological challenges not yet explored in ‘macro’‐landscape genetics. We argue that there is much value to be gained for microbial ecologists from embracing landscape genetic approaches. We provide a case for integrating landscape genetic methods into microecological studies and discuss specific considerations associated with the novel challenges this brings. We anticipate that microorganism landscape genetic studies will provide new insights into both micro‐ and macroecological processes and expand our knowledge of species’ distributions, adaptive mechanisms and species’ interactions in changing environments.     

Yeast nuclear RNA processing

Nuclear RNA processing requires dynamic and intricately regulated machinery composed of multiple enzymes and their cofactors.In this review,we summarize recent experiments using Saccharomyces cerevisiae as a model system that have yielded important insights regarding the conversion of pre-RNAs to functional RNAs,and the elimination of aberrant RNAs and unneeded intermediates from the nuclear RNA pool.Much progress has been made recently in describing the 3D structure of many elements of the nuclear degradation machinery and its cofactors.Similarly,the regulatory mechanisms that govern RNA processing are gradually coming into focus.Such advances invariably generate many new questions,which we highlight in this review.     

Electron paramagnetic resonance dynamic signatures of TAR RNA-small molecule complexes provide insight into RNA structure and recognition

Electron paramagnetic resonance (EPR) spectroscopy was utilized to investigate the correlation between RNA structure and RNA internal dynamics in complexes of HIV-1 TAR RNA with small molecules. TAR RNAs containing single nitroxide spin-labels in the 2'-position of U23, U25, U38, or U40 were incubated with compounds known to inhibit TAR-Tat complex formation. The combined changes in nucleotide mobility at all four sites, as monitored by their EPR spectral width, yield a dynamic signature for each compound. The multicyclic dyes Hoechst 33258, DAPI, and berenil bind to TAR RNA in a similar manner and gave nearly identical signatures. Different signatures were obtained for the acridine derivative CGP 40336A and the aminoglycoside antibiotic neomycin, which bind to different regions of the RNA. The dynamic signature for guanidinoneomycin was remarkably similar to that obtained for argininamide and is evidence for guanidinoneomycin binding to the same site as arginine 52 of the Tat protein, rather than to the neomycin binding site. The data presented here show that the dynamic signatures provide strong insights into RNA structure and recognition and demonstrate the value of EPR spectroscopy for the investigation of small molecule binding to RNA.     

Ribozymes of the hepatitis delta virus: recent findings on their structure, mechanism of catalysis and possible applications.

Although the delta ribozymes have been studied for more than ten years the most important information concerning their structure and mechanism of catalysis were only obtained very recently. The crystal structure of the genomic delta ribozyme turns out to be an excellent example of the extraordinary properties of RNA molecules to fold into uniquely compact structures. Details of the X-ray structure have greatly stimulated further studies on the folding of the ribozymes into functionally active molecules as well as on the mechanism of RNA catalysis. The ability of the delta ribozymes to carry out general acid-base catalysis by nucleotide side chains has been assumed in two proposed mechanisms of self-cleavage. Recently, considerable progress has been also made in characterizing the catalytic properties of trans-acting ribozyme variants that are potentially attractive tools in the strategy of directed RNA degradation.     

The structure and function of small nucleolar ribonucleoproteins

Eukaryotes and archaea use two sets of specialized ribonucleoproteins (RNPs) to carry out sequence-specific methylation and pseudouridylation of RNA, the two most abundant types of modifications of cellular RNAs. In eukaryotes, these protein-RNA complexes localize to the nucleolus and are called small nucleolar RNPs (snoRNPs), while in archaea they are known as small RNPs (sRNP). The C/D class of sno(s)RNPs carries out ribose-2'-O-methylation, while the H/ACA class is responsible for pseudouridylation of their RNA targets. Here, we review the recent advances in the structure, assembly and function of the conserved C/D and H/ACA sno(s)RNPs. Structures of each of the core archaeal sRNP proteins have been determined and their assembly pathways delineated. Furthermore, the recent structure of an H/ACA complex has revealed the organization of a complete sRNP. Combined with current biochemical data, these structures offer insight into the highly homologous eukaryotic snoRNPs.     

Energy barriers, pathways, and dynamics during folding of large, multidomain RNAs

Large, multidomain RNA molecules are generally thought to fold following multiple pathways down rugged landscapes populated with intermediates and traps. A challenge to understanding RNA folding reactions is the complex relationships that exist between the structure of the RNA and its folding landscape. The identification of intermediate species that populate folding landscapes and characterization of elements of their structures are the key components to solving the RNA folding problem. This review explores recent studies that characterize the dominant pathways by which RNA folds, structural and dynamic features of intermediates that populate the folding landscape, and the energy barriers that separate the distinct steps of the folding process.     

More pests but less pesticide applications: Ambivalent effect of landscape complexity on conservation biological control

In agricultural landscapes, the amount and organization of crops and semi-natural habitats (SNH) have the potential to promote a bundle of ecosystem services due to their influence on ecological community at multiple spatio-temporal scales. SNH are relatively undisturbed and are often source of complementary resources and refuges, therefore supporting more diverse and abundant natural pest enemies. However, the nexus of SNH proportion and organization with pest suppression is not trivial. It is thus crucial to understand how the behavior of pest and natural enemy species, the underlying landscape structure, and their interaction, may influence conservation biological control (CBC). Here, we develop a generative stochastic landscape model to simulate realistic agricultural landscape compositions and configurations of fields and linear elements. Generated landscapes are used as spatial support over which we simulate a spatially explicit predator-prey dynamic model. We find that increased SNH presence boosts predator populations by sustaining high predator density that regulates and keeps pest density below the pesticide application threshold. However, predator presence over all the landscape helps to stabilize the pest population by keeping it under this threshold, which tends to increase pest density at the landscape scale. In addition, the joint effect of SNH presence and predator dispersal ability among hedge and field interface results in a stronger pest regulation, which also limits pest growth. Considering properties of both fields and linear elements, such as local structure and geometric features, provides deeper insights for pest regulation; for example, hedge presence at crop field boundaries clearly strengthens CBC. Our results highlight that the integration of species behaviors and traits with landscape structure at multiple scales is necessary to provide useful insights for CBC.     

Non-Watson Crick base pairs might stabilize RNA structural motifs in ribozymes — a comparative study of group-I intron structures

In recent decades studies on RNA structure and function have gained significance due to discoveries on diversified functions of RNA. A common element for RNA secondary structure formed by series of non-Watson/Watson Crick base pairs, internal loops and pseudoknots have been the highlighting feature of recent structural determination of RNAs. The recent crystal structure of group-I introns has demonstrated that these might constitute RNA structural motifs in ribozymes, playing a crucial role in their enzymatic activity. To understand the functional significance of these non-canonical base pairs in catalytic RNA, we analysed the sequences of group-I introns from nuclear genes. The results suggest that they might form the building blocks of folded RNA motifs which are crucial to the catalytic activity of the ribozyme. The conservation of these, as observed from divergent organisms, argues for the presence of non-canonical base pairs as an important requisite for the structure and enzymatic property of ribozymes by enabling them to carry out functions such as replication, polymerase activity etc. in primordial conditions in the absence of proteins.     

Hybrid computational methods combining experimental information with molecular dynamics

A goal of structural biology is to understand how macromolecules carry out their biological roles by identifying their metastable states, mechanisms of action, pathways leading to conformational changes, and the thermodynamic and kinetic relationships between those states. Integrative modeling brings structural insights into systems where traditional structure determination approaches cannot help. We focus on the synergies and challenges of integrative modeling combining experimental data with molecular dynamics simulations.