Extending the Horizon of Homology Detection with Coevolution-based Structure Prediction

Traditional sequence analysis algorithms fail to identify distant homologies when they lie beyond a detection horizon. In this review, we discuss how co-evolution-based contact and distance prediction methods are pushing back this homology detection horizon, thereby yielding new functional insights and experimentally testable hypotheses. Based on correlated substitutions, these methods divine three-dimensional constraints among amino acids in protein sequences that were previously devoid of all annotated domains and repeats. The new algorithms discern hidden structure in an otherwise featureless sequence landscape. Their revelatory impact promises to be as profound as the use, by archaeologists, of ground-penetrating radar to discern long-hidden, subterranean structures. As examples of this, we describe how triplicated structures reflecting longin domains in MON1A-like proteins, or UVR-like repeats in DISC1, emerge from their predicted contact and distance maps. These methods also help to resolve structures that do not conform to a “beads-on-a-string” model of protein domains. In one such example, we describe CFAP298 whose ubiquitin-like domain was previously challenging to perceive owing to a large sequence insertion within it. More generally, the new algorithms permit an easier appreciation of domain families and folds whose evolution involved structural insertion or rearrangement. As we exemplify with α1-antitrypsin, coevolution-based predicted contacts may also yield insights into protein dynamics and conformational change. This new combination of structure prediction (using innovative co-evolution based methods) and homology inference (using more traditional sequence analysis approaches) shows great promise for bringing into view a sea of evolutionary relationships that had hitherto lain far beyond the horizon of homology detection.     

The Caenorhabditis elegansRAD51 homolog is transcribed into two alternative mRNAs potentially encoding proteins of different sizes

In prokaryotes, the RecA protein plays a pivotal role in homologous recombination, catalyzing the transfer of a single DNA strand into an homologous molecule. Structural homologs of the bacterial RecA protein, called Rad51, have been found in different eukaryotes (from yeast to man), suggesting a certain level of conservation in recombination pathways among living organisms. We have cloned the homolog of RAD51 in Caenorhabditis elegans. The CeRAD51 gene is transcribed into two alternative mRNAs and potentially codes for two proteins of 395 and 357 amino acids in length, respectively. We discuss the evolutionary implications of these findings. Received: 26 May 1998 / Accepted: 18 August 1998     

53BP1 Enforces Distinct Pre- and Post-resection Blocks on Homologous Recombination

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The N-Terminal Region of the RecU Holliday Junction Resolvase Is Essential for Homologous Recombination

The RecU Holliday junction (HJ)-resolving enzyme is highly conserved in the Firmicutes phylum of bacteria. In Bacillus subtilis, the recU gene has two putative initiation codons, at positions 1 and 33. In rec⁺ cells, only the full-length RecU polypeptide (206 residues, 23.9 kDa) was detected even after different stress treatments. To address the relevance of the flexible N-terminus, we constructed mutant variants. Experiments in vivo revealed that recUΔ1-32 (which initiates at Met33 and encodes RecUΔ1-32) and recU31 (the conserved Arg31 residue was substituted with alanine to give RecUR31A) are genuine RecU mutants, rendering cells impaired in DNA repair and chromosomal segregation. RecU has three activities: It (i) cleaves HJs, (ii) anneals complementary strands and (iii) modulates RecA activities. RecUR31A binds and cleaves HJ DNA in vitro as efficiently as wild-type RecU, but RuvB·ATPγS·Mg²⁺ fails to stimulate the RecUR31A cleavage reaction. In contrast, RecUΔ1-32 forms unstable complexes with DNA and fails to cleave HJs. RecU and its variants are capable of promoting DNA strand annealing and exert a negative effect on deoxy-ATP-dependent RecA-mediated DNA strand exchange. This study shows that the flexible N-terminus of RecU is essential for protein activity.     

Reduced generation time of apple seedlings to within a year by means of a plant virus vector: a new plant‐breeding technique with no transmission of genetic modification to the next generation

Fruit trees have a long juvenile phase. For example, the juvenile phase of apple (Malus × domestica) generally lasts for 5–12 years and is a serious constraint for genetic analysis and for creating new apple cultivars through cross‐breeding. If modification of the genes involved in the transition from the juvenile phase to the adult phase can enable apple to complete its life cycle within 1 year, as seen in herbaceous plants, a significant enhancement in apple breeding will be realized. Here, we report a novel technology that simultaneously promotes expression of Arabidopsis FLOWERING LOCUS T gene (AtFT) and silencing of apple TERMINAL FLOWER 1 gene (MdTFL1‐1) using an Apple latent spherical virus (ALSV) vector (ALSV‐AtFT/MdTFL1) to accelerate flowering time and life cycle in apple seedlings. When apple cotyledons were inoculated with ALSV‐AtFT/MdTFL1 immediately after germination, more than 90% of infected seedlings started flowering within 1.5–3 months, and almost all early‐flowering seedlings continuously produced flower buds on the lateral and axillary shoots. Cross‐pollination between early‐flowering apple plants produced fruits with seeds, indicating that ALSV‐AtFT/MdTFL1 inoculation successfully reduced the time required for completion of the apple life cycle to 1 year or less. Apple latent spherical virus was not transmitted via seeds to successive progenies in most cases, and thus, this method will serve as a new breeding technique that does not pass genetic modification to the next generation.     

Character compatibility of molecular markers to distinguish asexual and sexual reproduction

Particularly in polyploids, the potential of the high variability of dominant markers such as random amplified polymorphic DNA fragments (RAPDs) and amplified fragment length polymorphisms (AFLPs) in population genetic studies and analysis of breeding systems is reduced due to their dominant nature. In contrast, the criterion of character compatibility is hindered neither by dominance nor by polyploidy as allelic interpretation is not necessary. Character compatibility, which can be used to detect events of genetic exchange (or recombination), is particularly informative if these events are expected to be rare such as in taxa with extensive vegetative reproduction or apomixis. Binary unordered characters such as presence and absence of anonymous DNA markers are incompatible if all four pairwise combinations of character states are present among the individuals studied. Because incompatible character state distributions defy any progenitor–derivative relationship among individuals, they provide strong evidence for genetic exchange. Both the absolute number of incompatible character combinations and the probability of compatibility can be used as a measure of incompatibility. Although these measures may not directly relate to the frequency of genetic exchange, they provide a useful tool to heuristically explore data sets. The most commonly used input for multivariate analyses and analysis of molecular variance in population genetic studies of (dis)similarity of marker distributions are amalgamates of mutation and recombination. Character compatibility can be used to complement these traditional methods of analysis. Advantages and disadvantages of character incompatibility relative to multilocus analysis of modes of reproduction and population genetics are demonstrated with data from RAPDs, isozymes, and restriction fragment length polymorphisms (RFLPs) of the nuclear ribosomal and chloroplast genome.     

Parasites in bloom: flowers aid dispersal and transmission of pollinator parasites within and between bee species

The dispersal of parasites is critical for epidemiology, and the interspecific vectoring of parasites when species share resources may play an underappreciated role in parasite dispersal. One of the best examples of such a situation is the shared use of flowers by pollinators, but the importance of flowers and interspecific vectoring in the dispersal of pollinator parasites is poorly understood and frequently overlooked. Here, we use an experimental approach to show that during even short foraging periods of 3 h, three bumblebee parasites and two honeybee parasites were dispersed effectively onto flowers by their hosts, and then vectored readily between flowers by non-host pollinator species. The results suggest that flowers are likely to be hotspots for the transmission of pollinator parasites and that considering potential vector, as well as host, species will be of general importance for understanding the distribution and transmission of parasites in the environment and between pollinators.     

Isolation of promoters from Brevibacterium flavum strain MJ233C and comparison of their gene expression levels in B. flavum and Escherichia coli

Abstract A promoter probe shuttle vector suitable for the isolation of promoter elements from coryneform bacteria was constructed. This vector carried the neomycin phosphotransferase (NPTII) gene from transposon Tn 5 as a reporter gene, and was capable of replication in both Escherichia coli and Brevibacterium flavum . The vector was used in the construction of a B. flavum library of 899 independently isolated promoter clones. Promoters with a wide range of activities in B. flavum , including some very strong promoter elements, were isolated. Comparative analysis suggests that significant differences between B. flavum and E. coli may exist in the determinants of promoter strength.     

An application of CIFAP for predicting the binding affinity of Chk1 inhibitors derived from 2‐aminothiazole‐4‐carboxamide

Investigation of protein‐ligand interactions obtained from experiments has a crucial part in the design of newly discovered and effective drugs. Analyzing the data extracted from known interactions could help scientists to predict the binding affinities of promising ligands before conducting experiments. The objective of this study is to advance the CIFAP (compressed images for affinity prediction) method, which is relevant to a protein‐ligand model, identifying 2D electrostatic potential images by separating the binding site of protein‐ligand complexes and using the images for predicting the computational affinity information represented by pIC₅₀ values. The CIFAP method has 2 phases, namely, data modeling and prediction. In data modeling phase, the separated 3D structure of the binding pocket with the ligand inside is fitted into an electrostatic potential grid box, which is then compressed through 3 orthogonal directions into three 2D images for each protein‐ligand complex. Sequential floating forward selection technique is performed for acquiring prediction patterns from the images. In the prediction phase, support vector regression (SVR) and partial least squares regression are used for testing the quality of the CIFAP method for predicting the binding affinity of 45 CHK1 inhibitors derived from 2‐aminothiazole‐4‐carboxamide. The results show that the CIFAP method using both support vector regression and partial least squares regression is very effective for predicting the binding affinities of CHK1‐ligand complexes with low‐error values and high correlation. As a future work, the results could be improved by working on the pose of the ligands inside the grid.