Abordagem multivariada na análise de diversidade genética em cruzamentos para alto teor de óleo em soja

The soybean crop is considered a high expression around the world. In plant breeding programs, knowledge of genetic diversity is extremely important and in this context, are frequently used multivariate analyzes. Thus, the aim of the present study was to evaluate the genetic divergence between soybean crosses through multivariate techniques. In total, 16 crosses were evaluated, which were in the F2 generation of inbreeding. The evaluated characteristics were plant height at maturity, height of the first pod, number of branches per plant, number of pods per plant, number of nodes per plant, hundred seed weight, grain yield and oil content. For the analyzes was used Euclidean distance, methods of hierarchical clustering UPGMA and Ward and principal component analysis. Genetic distances estimated using Euclidean distance ranged from 1.24 to 8.13, with the smallest distance observed between crosses C1 and C4, and the greatest distance between the C2 crosses and C6. The methods UPGMA clustering and Ward met crossings in five different groups. The principal component analysis explained 86.2% of the variance contained in the original eight variables with three main components. The APM characters, NV, NR, NN, PG% and oil were the main contributors to genetic divergence among traits. Multivariate techniques were crucial to the analysis of genetic diversity, and the methods of Ward and UPGMA clustering and principal components have consistent results in this way, the simultaneous use of these tools in genetic analysis of crosses is indicated

Estimativa da diversidade genética de Queixadas (Tayassu pecari) da região do Taboco (Corguinho, MS)

The Brazilian fauna has been constantly threatened by deforestation and forest fragmentation. As a result, many populations become isolated and small which negatively impacts their genetic diversity, putting them at a higher risk of extinction than large and stable populations. The aim of this work was to estimate the genetic diversity of white-lipped peccaries (Tayassu pecari) in the region of Taboco (Corguinho, MS), a fragmented area; and to compare these estimates with that obtained previously for two populations from Brazilian Pantanal, which is considered a relatively well-preserved biome and where the species is not threatened. A total of 18 blood and 72 hair samples of white-lipped peccaries had their DNA extracted and amplified for five polymorphic microsatellite loci. With the individuals identified, genetic diversity indicators (such as number of alleles, allelic richness, expected end and observed) and the inbreeding coefficient FIS were calculated. In addition, to verify if the population suffered a recent population bottleneck, we used the tests implemented in the program Bottleneck. The population of Taboco showed no evidence of recent population bottleneck (p > 0.05) or inbreeding (FIS = 0.008; p > 0.022). In addition, the levels of genetic diversity in this population (mean number of alleles = 2.60; mean allelic richness = 2.56 mean observed and expected heterozygosities = 0.45 and 0.47, respectively) were statistically similar to those found previously for the two populations from Pantanal (p > 0,05); although the region of Taboco is more impacted than the Pantanal. Even though we showed no evidence of loss of genetic diversity, it does not mean that the population is not suffering with fragmentation; but that there was not sufficient time to evidence the genetic changes. In addition, may be occurring gene flow with populations of nearby fragments, which is maintaining... (Complete abstract click electronic access below)

Caracterização genética de populações de Caryocar brasiliense Cambess. e Jatropha curcas L., espécies potenciais na produção de biodiesel

Pós-graduação em Agronomia - FEIS

Fluxo gênico, estrutura genética espacial intrapopulacional e sistema de reprodução hierárquico entre e dentro de frutos em uma pequena população isolada de Genipa americana L., utilizando marcadores microssatélites

Pós-graduação em Agronomia - FEIS

Avaliação da autozigosidade em vacas Nelore (Bos indicus) através de genótipos SNP de alta densidade

Pós-graduação em Medicina Veterinária - FCAV

Caracterização gênica para uma anomalia de Eucalyptus em fase inicial de desenvolvimento

Pós-graduação em Ciências Biológicas (Genética) - IBB

Análise de pedigree e estimativas de parâmetros genéticos para características reprodutivas em bovinos da raça Brahman

Pós-graduação em Ciência e Tecnologia Animal - FEIS

Novel and cross-amplified microsatellite loci for the critically endangered São Paulo marsh antwren Formicivora paludicola (Aves: Thamnophilidae)

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

Genetic variation in Aechmea winkleri, a bromeliad from an inland Atlantic rainforest fragment in Southern Brazil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Frequência fenotípica de asas e olhos ao longo de gerações em populações de laboratório de chrysoperla externa (Neuroptera: Chrysopidae)

In massal rearing of natural enemies with the goal of biological control, the procedures adopted for establishment and maintenance of the individual founders of the colonies may have undesirable effects on population genetic structure of laboratory. This situation influences the success of rearing and effectiveness in the field. The objective of this study was to evaluate, along of generations two laboratory populations (Jaboticabal and Piracicaba) of Chrysoperla externa (Hagen) (Neuroptera: Chrysopidae), founded with different numbers of adults (1, 5, 10, 15 and 20 couples), the frequency of morphological variants, size of wings and eye color, such as parameters for inferences about the homozygosity degrees. For eye color were assessed the frequency, while for the size of wings was measured the width and the length of the right mesothoracic wings. The eye color variants for C. externa populations may be monitored in the laboratory aiming at detecting inbreeding, whereas the measurements of length and width of wings should not be adopted for this purpose.

Contemporary and historic factors influence differently genetic differentiation and diversity in a tropical palm

Population genetics theory predicts loss in genetic variability because of drift and inbreeding in isolated plant populations; however, it has been argued that long-distance pollination and seed dispersal may be able to maintain gene flow, even in highly fragmented landscapes. We tested how historical effective population size, historical migration and contemporary landscape structure, such as forest cover, patch isolation and matrix resistance, affect genetic variability and differentiation of seedlings in a tropical palm (Euterpe edulis) in a human-modified rainforest. We sampled 16 sites within five landscapes in the Brazilian Atlantic forest and assessed genetic variability and differentiation using eight microsatellite loci. Using a model selection approach, none of the covariates explained the variation observed in inbreeding coefficients among populations. The variation in genetic diversity among sites was best explained by historical effective population size. Allelic richness was best explained by historical effective population size and matrix resistance, whereas genetic differentiation was explained by matrix resistance. Coalescence analysis revealed high historical migration between sites within landscapes and constant historical population sizes, showing that the genetic differentiation is most likely due to recent changes caused by habitat loss and fragmentation. Overall, recent landscape changes have a greater influence on among-population genetic variation than historical gene flow process. As immediate restoration actions in landscapes with low forest amount, the development of more permeable matrices to allow the movement of pollinators and seed dispersers may be an effective strategy to maintain microevolutionary processes.

Assessment of autozygosity in Nellore cows (Bos indicus) through high-density SNP genotypes

The use of relatively low numbers of sires in cattle breeding programs, particularly on those for carcass and weight traits in Nellore beef cattle (Bos indicus) in Brazil, has always raised concerns about inbreeding, which affects conservation of genetic resources and sustainability of this breed. Here, we investigated the distribution of autozygosity levels based on runs of homozygosity (ROH) in a sample of 1,278 Nellore cows, genotyped for over 777,000 SNPs. We found ROH segments larger than 10 Mb in over 70% of the samples, representing signatures most likely related to the recent massive use of few sires. However, the average genome coverage by ROH (>1 Mb) was lower than previously reported for other cattle breeds (4.58%). In spite of 99.98% of the SNPs being included within a ROH in at least one individual, only 19.37% of the markers were encompassed by common ROH, suggesting that the ongoing selection for weight, carcass and reproductive traits in this population is too recent to have produced selection signatures in the form of ROH. Three short-range highly prevalent ROH autosomal hotspots (occurring in over 50% of the samples) were observed, indicating candidate regions most likely under selection since before the foundation of Brazilian Nellore cattle. The putative signatures of selection on chromosomes 4, 7, and 12 may be involved in resistance to infectious diseases and fertility, and should be subject of future investigation.

Genomic analysis for managing small and endangered populations: a case study in Tyrol Grey cattle

Analysis of genomic data is increasingly becoming part of the livestock industry. Therefore, the routine collection of genomic information would be an invaluable resource for effective management of breeding programs in small, endangered populations. The objective of the paper was to demonstrate how genomic data could be used to analyse (1) linkage disequlibrium (LD), LD decay and the effective population size (NeLD); (2) Inbreeding level and effective population size (NeROH) based on runs of homozygosity (ROH); (3) Prediction of genomic breeding values (GEBV) using small within-breed and genomic information from other breeds. The Tyrol Grey population was used as an example, with the goal to highlight the potential of genomic analyses for small breeds. In addition to our own results we discuss additional use of genomics to assess relatedness, admixture proportions, and inheritance of harmful variants. The example data set consisted of 218 Tyrol Grey bull genotypes, which were all available AI bulls in the population. After standard quality control restrictions 34,581 SNPs remained for the analysis. A separate quality control was applied to determine ROH levels based on Illumina GenCall and Illumina GenTrain scores, resulting into 211 bulls and 33,604 SNPs. LD was computed as the squared correlation coefficient between SNPs within a 10 mega base pair (Mb) region. ROHs were derived based on regions covering at least 4, 8, and 16 Mb, suggesting that animals had common ancestors approximately 12, 6, and 3 generations ago, respectively. The corresponding mean inbreeding coefficients (F ROH) were 4.0% for 4 Mb, 2.9% for 8 Mb and 1.6% for 16 Mb runs. With an average generation interval of 5.66 years, estimated NeROH was 125 (NeROH>16 Mb), 186 (NeROH>8 Mb) and 370 (NeROH>4 Mb) indicating strict avoidance of close inbreeding in the population. The LD was used as an alternative method to infer the population history and the Ne. The results show a continuous decrease in NeLD, to 780, 120, and 80 for 100, 10, and 5 generations ago, respectively. Genomic selection was developed for and is working well in large breeds. The same methodology was applied in Tyrol Grey cattle, using different reference populations. Contrary to the expectations, the accuracy of GEBVs with very small within breed reference populations were very high, between 0.13-0.91 and 0.12-0.63, when estimated breeding values and deregressed breeding values were used as pseudo-phenotypes, respectively. Subsequent analyses confirmed the high accuracies being a consequence of low reliabilities of pseudo-phenotypes in the validation set, thus being heavily influenced by parent averages. Multi-breed and across breed reference sets gave inconsistent and lower accuracies. Genomic information may have a crucial role in management of small breeds, even if its primary usage differs from that of large breeds. It allows to assess relatedness between individuals, trends in inbreeding and to take decisions accordingly. These decisions would be based on the real genome architecture, rather than conventional pedigree information, which can be missing or incomplete. We strongly suggest the routine genotyping of all individuals that belong to a small breed in order to facilitate the effective management of endangered livestock populations.

Estudo genômico da produção de leite e seus constituintes em bovinos da raça Guzerá

Pós-graduação em Genética e Melhoramento Animal - FCAV

Estudo hierárquico do sistema de reprodução entre e dentro de frutos, fluxo de pólen e estrutura genética espacial em um fragmento e em árvores isoladas na pastagem de hymenaea stigonocarpa mart. ex hayne na região de cerrado

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)