Comparison of random regression models to estimate genetic parameters for milk production in Guzerat (Bos indicus) cows

Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali and Schaeffer function with six residual variance classes was the most suitable for fitting the data. © FUNPEC-RP.

Loss of Genetic Variability Induced by Agroecosystems: Chrysoperla externa (Hagen) (Neuroptera: Chrysopidae) as a Case Study

Four species of green lacewings occur in Brazil, of which Chrysoperla externa (Hagen) (Neuroptera: Chrysopidae) exhibits the widest geographical distribution. Chrysoperla externa is a predatory insect that is potentially useful as a biological control agent of agricultural pests. Studies on the genetic diversity of lacewing populations are essential to reduce the environmental and economic harm that may be caused by organisms with a low ability to adapt to the adverse and/or different environmental conditions to which they are exposed. We used the cytochrome oxidase I mitochondrial gene as a molecular marker to investigate the genetic diversity of green lacewing species collected from native and agroecosystem environments. Populations derived from native areas showed higher rates of genetic variability compared to populations from agroecosystems. Demographic changes in the form of population expansion were observed in agroecosystems, whereas populations in the native environment appeared stable over time. A statistical analysis showed significant genetic structure between each of the sampled groups, combined with its complete absence within each group, corroborating each group's identity. We infer that the loss of variability exhibited by populations from the agroecosystems is the result of genetic drift by means of the founder effect, a similar effect that has been observed in other introduced populations. Agroecosystems might therefore function as exotic areas for green lacewings, even when these areas are within the normal range of the species. © 2012 Sociedade Entomológica do Brasil.

Global optimization using a genetic algorithm with hierarchically structured population

This paper applies a genetic algorithm with hierarchically structured population to solve unconstrained optimization problems. The population has individuals distributed in several overlapping clusters, each one with a leader and a variable number of support individuals. The hierarchy establishes that leaders must be fitter than its supporters with the topological organization of the clusters following a tree. Computational tests evaluate different population structures, population sizes and crossover operators for better algorithm performance. A set of known benchmark test problems is solved and the results found are compared with those obtained from other methods described in the literature, namely, two genetic algorithms, a simulated annealing, a differential evolution and a particle swarm optimization. The results indicate that the method employed is capable of achieving better performance than the previous approaches in regard as the two criteria usually employed for comparisons: the number of function evaluations and rate of success. The method also has a superior performance if the number of problems solved is taken into account. (C) 2013 Elsevier B.V. All rights reserved.

Worldwide genetic variation at the 3 ' untranslated region of the HLA-G gene: balancing selection influencing genetic diversity

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estimates of genetic parameters for total milk yield over multiple ages in Brazilian Murrah buffaloes using different models

The objective of this study was to estimate variance components and genetic parameters for accumulated 305-day milk yield (MY305) over multiple ages, from 24 to 120 months of age, applying random regression (RRM), repeatability (REP) and multi-trait (MT) models. A total of 4472 lactation records from 1882 buffaloes of the Murrah breed were utilized. The contemporary group (herd-year-calving season) and number of milkings (two levels) were considered as fixed effects in all models. For REP and RRM, additive genetic, permanent environmental and residual effects were included as random effects. MT considered the same random effects as did REP and RRM with the exception of permanent environmental effect. Residual variances were modeled by a step function with 1, 4, and 6 classes. The heritabilities estimated with RRM increased with age, ranging from 0.19 to 0.34, and were slightly higher than that obtained with the REP model. For the MT model, heritability estimates ranged from 0.20 (37 months of age) to 0.32 (94 months of age). The genetic correlation estimates for MY305 obtained by RRM (L23.res4) and MT models were very similar, and varied from 0.77 to 0.99 and from 0.77 to 0.99, respectively. The rank correlation between breeding values for MY305 at different ages predicted by REP, MT, and RRM were high. It seems that a linear and quadratic Legendre polynomial to model the additive genetic and animal permanent environmental effects, respectively, may be sufficient to explain more parsimoniously the changes in MY305 genetic variation with age.

Genetic parameters for production traits of dairy Gyr (Bos indicus) x Holstein cattle estimated with a random regression model

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

High genetic diversity among Pseudomonas aeruginosa and Acinetobacter spp. isolated in a public hospital in Brazil

In Brazil and other regions of the world, Pseudomonas aeruginosa and Acinetobacter spp. have emerged as important agents of nosocomial infection and are commonly involved in outbreaks. The main objective of the present study was to evaluate the genetic relationship among P. aeruginosa and Acinetobacter spp. isolated from patients in a public university hospital in northwestern Parana, Brazil, and report their antimicrobial resistance profile. A total of 75 P. aeruginosa and 94 Acinetobacter spp. isolates were phenotypically identified and tested for antibiotic susceptibility using automated methodology. Polymyxin B was tested by disk diffusion for P. aeruginosa. Metallo-beta-lactamase (MBL) was detected using a disk approximation test. Genotyping was performed using enterobacterial repetitive intergenic consensus polymerase chain reaction (ERIC-PCR). Approximately 55% of the P. aeruginosa isolates and 92% of the Acinetobacter spp. isolates were multiresistant, but none were MBL-producers. ERIC-PCR revealed the presence of small clusters of carbapenem-resistant Acinetobacter spp., most likely OXA-type carbapenemase producers. Furthermore, high genetic diversity in P. aeruginosa and Acinetobacter spp. clinical isolates was observed, suggesting that cross-transmission is not very frequent in the studied hospital.

eIF5A has a function in the cotranslational translocation of proteins into the ER

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Random regression models to estimate genetic parameters for milk production of Guzerat cows using orthogonal Legendre polynomials

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Improvements in the sensibility of MSA-GA tool using COFFEE objective function

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

An analog implementation of radial basis function network appropriate for transducer linearizer

A circuit for transducer linearizer tasks have been designed and built using discrete components and it implements by: a Radial Basis Function Network (RBFN) with three basis functions. The application in a linearized thermistor showed that the network has good approximation capabilities. The circuit advantages is the amplitude, width and center.

Comparative study on the far-field spectra and near-field amplitudes for silver and gold nanocubes irradiated at 514, 633 and 785 nm as a function of the edge length

We describe a systematic investigation by the discrete dipole approximation on the optical properties of silver (Ag) and gold (Au) nanocubes as a function of the edge length in the 20-100 nm range. Our results showed that, as the nanocube size increased, the plasmon resonance modes shifted to higher wavelengths, the contribution from scattering to the extinction increased, and the quadrupole modes became more intense in the spectra. The electric field amplitudes at the surface of the nanocubes were calculated considering 514, 633 and 785 nm as the excitation wavelengths. While Ag nanocubes displayed the highest electric field amplitudes (vertical bar E vertical bar(max)) when excited at 514 nm, the Au nanocubes displayed higher vertical bar E vertical bar(max) values than Ag, for all sizes investigated, when the excitation wavelength was either 633 or 785 nm. The variations in vertical bar E vertical bar(max) as a function of size for both Ag and Au nanocubes could be explained based on the relative position of the surface plasmon resonance peak relative to the wavelength of the incoming electromagnetic wave. Our results show that not only size and composition, but also the excitation wavelength, can play an important role over the maximum near-field amplitudes values generated at the surface of the nanocubes.

Localising and quantifying damage by means of a multi-chromosome genetic algorithm

This paper presents a structural damage detection methodology based on genetic algorithms and dynamic parameters. Three chromosomes are used to codify an individual in the population. The first and second chromosomes locate and quantify damage, respectively. The third permits the self-adaptation of the genetic parameters. The natural frequencies and mode shapes are used to formulate the objective function. A numerical analysis was performed for several truss structures under different damage scenarios. The results have shown that the methodology can reliably identify damage scenarios using noisy measurements and that it results in only a few misidentified elements. (C) 2012 Civil-Comp Ltd and Elsevier Ltd. All rights reserved.

Disruption of vitellogenin gene function in adult honeybees by intra-abdominal injection of double-stranded RNA

Abstract Background The ability to manipulate the genetic networks underlying the physiological and behavioural repertoires of the adult honeybee worker (Apis mellifera) is likely to deepen our understanding of issues such as learning and memory generation, ageing, and the regulatory anatomy of social systems in proximate as well as evolutionary terms. Here we assess two methods for probing gene function by RNA interference (RNAi) in adult honeybees. Results The vitellogenin gene was chosen as target because its expression is unlikely to have a phenotypic effect until the adult stage in bees. This allowed us to introduce dsRNA in preblastoderm eggs without affecting gene function during development. Of workers reared from eggs injected with dsRNA derived from a 504 bp stretch of the vitellogenin coding sequence, 15% had strongly reduced levels of vitellogenin mRNA. When dsRNA was introduced by intra-abdominal injection in newly emerged bees, almost all individuals (96 %) showed the mutant phenotype. An RNA-fragment with an apparent size similar to the template dsRNA was still present in this group after 15 days. Conclusion Injection of dsRNA in eggs at the preblastoderm stage seems to allow disruption of gene function in all developmental stages. To dissect gene function in the adult stage, the intra-abdominal injection technique seems superior to egg injection as it gives a much higher penetrance, it is much simpler, and it makes it possible to address genes that are also expressed in the embryonic, larval or pupal stages.

Innate Immunity in Insects, Function and Regulation of Hemolin from Hyalophora cecropia

Insects are useful models for the study of innate immune reactions and development. The distinction between recognition mechanisms preceding the breakdown of apoptotic cells during metamorphosis, and the breakdown of cells in response to infections, is unclear. Hemolin, a Lepidopteran member of the immunoglobulin superfamily, is a candidate molecule in self/nonself recognition. This thesis investigates hemolin function and hemolin gene regulation at a molecular level. We investigated the binding and cell adhesion properties of hemolin from H. cecropia and demonstrated that the proteins could homodimerize in presence of calcium. Moreover, a higher molecular weight membrane form of hemolin was present on hemocytes. These results, taken together with an earlier finding that soluble hemolin inhibits hemocyte adhesion, indicated that the secreted hemolin could modulate hemocyte aggregation in a competitive manner in the blood. In addition, hemolin was expressed in different tissues and at different developmental stages. Since hemolin is expressed both during development and during the immune response, its different regulatory factors must act in concert. We found that the third intron contains an enhancer, through which Dif, C/EBP and HMGI synergistically activate a reporter construct in vitro. We concluded that the enhancer is used during infection, since the κB-site is crucial for an immune response. Interestingly, we also found that the active form of the steroid hormone, ecdysone, induces the hemolin gene transcription in vivo, and in addition, acts synergistically during bacterial infection. Preliminary in vivo results indicate a secondary effect of ecdysone and the importance of hormone receptor elements in the upstream promoter region of hemolin. To explore the use of Drosophila as a genetic tool for understanding hemolin function and regulation, we sought to isolate the functional homologue in this species. A fly cDNA library in yeast was screened using H. cecropia hemolin as bait. The screen was not successful. However, it did lead to the discovery of a Drosophila protein with true binding specificity for hemolin. Subsequent characterization revealed a new, highly conserved gene, which we named yippee. Yippee is distantly related to zinc finger proteins and represents a novel family of proteins present in numerous eukaryotes, including fungi, plants and humans. Notably, when the Drosophila genome sequence was revealed, no hemolin orthologue could be detected. Finally, an extensive Drosophila genome chip analysis was initiated. The goal was to investigate the Drosophila immune response, and, in contrast to earlier studies of artificially injected flies, to examine a set of natural microbes, orally and externally applied. In parallel experiments viruses, bacteria, fungi and parasites were compared to unchallenged controls. We obtained a unique set of genes that were up-regulated in the response to the parasite Octosporea muscadomesticae and to the fungus Beauveria bassiana. We expect both down-regulated and up-regulated genes to serve as a source for the discovery of new effector molecules, in particular those that are active against parasites and fungi.