Molecular dynamic modeling of CYP51B in complex with azole inhibitors.

Cytochrome P450 14α-sterol demethylase (CYP51), the key enzyme in sterol biosynthesis pathway, is an important target protein of cholesterol-lowering agents, antifungal drugs, and herbicides. CYP51B enzyme is one of the CYP51 family members. In the present study, we have chosen four representative inhibitors of CYP51B: diniconazole (Din), fluconazole (Flu), tebuconazole (Teb), and voriconazole (Vor), and launched to investigate the binding features of CYP51B-inhibitor and gating characteristics via molecular docking and molecular dynamics (MD) simulations. The results show that the ranking of binding affinities among these inhibitors is Din > Teb > Vor > Flu. Din shows the strongest binding affinity, whereas Flu shows the weakest binding affinity. More importantly, based on the calculated binding free energy results, we hypothesize that the nonpolar interactions are the most important contributors, and three key residues (Thr77, Ala258, and Lys454) play crucial role in protein-inhibitor binding. Besides, residue Phe180 may play a molecular switch role in the process of the CYP51B-Teb and CYP51B-Vor binding. Additionally, Tunnel analysis results show that the major tunnel of Din, Flu, and Teb is located between helix K, FG loop, and ß4 hairpin (Tunnel II).The top ranked possible tunnel (Tunnel II) corresponds to Vor exits through helix K, F and helix J. This study further revealed the CYP51B relevant structural characteristics at the atomic level as well as provided a basis for rational design of new and more efficacious antifungal agents.

Molecular dynamics investigations of membrane-bound CYP2C19 polymorphisms reveal distinct mechanisms for peripheral variants by long-range effects on the enzymatic activity.

Increasing sophistication in methods used to account for human polymorphisms in susceptibility to drug metabolism has been one of the success stories in the prevention of adverse drug reactions. Genetic polymorphisms in drug-metabolizing enzymes can affect enzyme activity and cause differences in treatment response or drug toxicity. CYP2C19 is one of the most highly polymorphic CYP enzymes and acts on 10-15% of drugs in current clinical use. Despite the number of experimental analyses carried out for this system, the detailed structural basis for altered catalytic properties of polymorphic CYP2C19 variants remains unexplained at the atomic level. To this end, we have investigated the mutation effects on structural characteristics and tunnel geometry upon single point mutations to elucidate the underlying molecular mechanism for the enzymatic activity deficiencies by using the fully atomistic molecular dynamics (MD) simulations in their native, membrane-bound cellular environment. The obtained results demonstrate how significant sequence divergence causes heterogeneous variations, and further affects the shape and chemical properties of the substrate binding site. Principal component analysis (PCA) results combined with free energy calculations have revealed distinct mechanisms for different peripheral variants, implying a more complicated process for the decrease/loss of enzymatic activity upon the introduction of point mutations in CYP2C19 rather than simply structural changes of the region where the mutation is located. Overall, our present study provides important insights into the current pharmacogenetic knowledge of human drug-metabolizing CYP2C19 to understand the large inter-individual variability in drug clearance. The knowledge of heterogeneous variations in structural features could guide future experimental and computational work on efficient and safe drug treatment with better pharmacokinetic properties based on the common variant alleles of CYP genes, which varies among different ethnic populations.

Development and characterization of microsatellite markers in Prunus sibirica (Rosaceae).

PREMISE OF THE STUDY: Microsatellite loci were developed for Prunus sibirica to investigate genetic diversity, population genetic structure, and marker-assisted selection of late-blooming cultivars in the breeding of P. sibirica. • METHODS AND RESULTS: Using a magnetic bead enrichment strategy, 19 primer pairs were developed and characterized across 40 individuals from three P. sibirica wild populations and six individuals of P. armeniaca. The number of alleles per locus varied from three to 11 and the observed and expected heterozygosities ranged from 0.063 to 0.917 and 0.295 to 0.876, respectively, in the three P. sibirica wild populations. All primer pairs could be successfully amplified in six individuals of P. armeniaca. • CONCLUSIONS: These microsatellite primer pairs should be useful for population genetics, germplasm identification, and marker-assisted selection in the breeding of P. sibirica and related species.

Dissecting genetic networks underlying complex phenotypes: the theoretical framework.

Great progress has been made in genetic dissection of quantitative trait variation during the past two decades, but many studies still reveal only a small fraction of quantitative trait loci (QTLs), and epistasis remains elusive. We integrate contemporary knowledge of signal transduction pathways with principles of quantitative and population genetics to characterize genetic networks underlying complex traits, using a model founded upon one-way functional dependency of downstream genes on upstream regulators (the principle of hierarchy) and mutual functional dependency among related genes (functional genetic units, FGU). Both simulated and real data suggest that complementary epistasis contributes greatly to quantitative trait variation, and obscures the phenotypic effects of many 'downstream' loci in pathways. The mathematical relationships between the main effects and epistatic effects of genes acting at different levels of signaling pathways were established using the quantitative and population genetic parameters. Both loss of function and "co-adapted" gene complexes formed by multiple alleles with differentiated functions (effects) are predicted to be frequent types of allelic diversity at loci that contribute to the genetic variation of complex traits in populations. Downstream FGUs appear to be more vulnerable to loss of function than their upstream regulators, but this vulnerability is apparently compensated by different FGUs of similar functions. Other predictions from the model may account for puzzling results regarding responses to selection, genotype by environment interaction, and the genetic basis of heterosis.

[Identification of markers linked to resistance locus of Marssonina leaf spot in poplars by bulked segregant analysis(BSA)].

DNA markers linked to resistance locus of Marssonina leaf spot in poplars were found by bulked segregant analysis(BSA). The bulks consisted of individual with a extreme phenotype taken from a population of 91 F1 clones,which is a progeny of Populus deltoides Bartr.cv."Lux"(I-69/55)(Resistance) and P.euramericana cv.I-45(Susceptible). Out of 114 RAPD primers, four markers showed polymorphisms between the resistance-bulk and the susceptible-bulk.By using selective genotype linkage analysis,OPAI17-1550 and OPAI13-900 were found linked to the resistance locus. The genetic distances between the two markers and the resistance locus were 29.9cM and 37.4cM,respectively.