Serine esterases: structural conservation during animal evolution and variability in enzymatic properties in the genus Drosophila

Esterase Profile in Drosophila mercatorum pararepleta (Diptera; Drosophilidae), a Non-cactophilic Species of the repleta Group: Development Patterns and Aspects of Genetic Variability

Luciana Paes de Barros Machado, Natalia Silva Alves, Jaqueline de Oliveira Prestes, Gabriela Ronchi Salomón, Daiane Biegai, Thais Wouk, and Rogério Pincela Mateus (2017) Esterases are a diversified group of isozymes that performs several metabolic functions in Drosophila. In the D. repleta group, this class of enzymes was well described in cactophilic species, existing a lack of studies considering substrate speci city and life cycle expression in the non-cactophilic species. The larvae of cactophilic species of the D. repleta group develop in rotting cacti cladodes, but adults are generalists. Thus, different patterns expression can be found for esterases throughout development. In this work we analyzed esterase pro le and substrate speci city during development, and genetic variability aspects in D. mercatorum pararepleta, a non-cactophilic and generalist species of D. repleta group that was understudied hitherto. Samples of 3rd (F3) and 104th (F104) generations of three D. mercatorum pararepleta strains, obtained after collections in xerophytic enclaves of southeastern Brazil (ITI and SER in São Paulo state and RIP in Paraná state), and of D33 strain (obtained from Cristalina-GO, Midwest of Brazil, and established in the laboratory in 1987) were analyzed. Eight esterase loci, EST-1 to EST-8, were detected. EST-1 and EST-2 were adult exclusive. Only EST-3 and EST-8 were monomorphic; all the others presented between two (EST-6) and six (EST-7) alleles. EST-7 was the only dimeric locus and also the only one that showed to be a preferably β-esterase regarding affinity to α- and β-naphthyl acetates as substrates. The other seven loci were divided into three classes: α-esterase exclusive (EST-2); preferably α-esterase (EST-3, EST-4, EST-5 and EST-8); and α/β-esterase (EST-1 and EST-6). The EST-3, EST-5 and EST-6 loci were not detected in all samples, suggesting that they could have become pseudogenes due to the mutation accumulation after the gene duplication. The allele frequency of EST-7 locus, which showed the highest number of alleles, in adults of D33 and SER-F3 evidenced a higher variability and diversity in the oldest strain (six alleles, Ho = 0.46) than in the youngest ( five alleles, Ho = 0.26). Moreover, the analysis of SER-F104 revealed that this locus became monomorphic. The higher variability in the strain established in the laboratory at least two decades ago, together with the allele fixation in the SER-F104, indicate that the SER strain probably suffered a more severe action of founder effect/bottleneck when it was established in the laboratory and, therefore, even if the maintenance afterwards was performed using a high number of individuals, it did not assured the conservation of the existing genetic variability.

Quantitative structure-activity relationships for organophosphates binding to trypsin and chymotrypsin

Organophosphate (OP) nerve agents such as sarin, soman, tabun, and O-ethyl S-[2-(diisopropylamino) ethyl] methylphosphonothioate (VX) do not react solely with acetylcholinesterase (AChE). Evidence suggests that cholinergic-independent pathways over a wide range are also targeted, including serine proteases. These proteases comprise nearly one-third of all known proteases and play major roles in synaptic plasticity, learning, memory, neuroprotection, wound healing, cell signaling, inflammation, blood coagulation, and protein processing. Inhibition of these proteases by OP was found to exert a wide range of noncholinergic effects depending on the type of OP, the dose, and the duration of exposure. Consequently, in order to understand these differences, in silico biologically based dose-response and quantitative structure-activity relationship (QSAR) methodologies need to be integrated. Here, QSAR were used to predict OP bimolecular rate constants for trypsin and α-chymotrypsin. A heuristic regression of over 500 topological/constitutional, geometric, thermodynamic, electrostatic, and quantum mechanical descriptors, using the software Ampac 8.0 and Codessa 2.51 (SemiChem, Inc., Shawnee, KS), was developed to obtain statistically verified equations for the models. General models, using all data subsets, resulted in R(2) values of .94 and .92 and leave-one-out Q(2) values of 0.9 and 0.87 for trypsin and α-chymotrypsin. To validate the general model, training sets were split into independent subsets for test set evaluation. A y-randomization procedure, used to estimate chance correlation, was performed 10,000 times, resulting in mean R(2) values of .24 and .3 for trypsin and α-chymotrypsin. The results show that these models are highly predictive and capable of delineating the complex mechanism of action between OP and serine proteases, and ultimately, by applying this approach to other OP enzyme reactions such as AChE, facilitate the development of biologically based dose-response models.