8 resultados para Selection, Genetic

em DigitalCommons@The Texas Medical Center


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The interpretation of data on genetic variation with regard to the relative roles of different evolutionary factors that produce and maintain genetic variation depends critically on our assumptions concerning effective population size and the level of migration between neighboring populations. In humans, recent population growth and movements of specific ethnic groups across wide geographic areas mean that any theory based on assumptions of constant population size and absence of substructure is generally untenable. We examine the effects of population subdivision on the pattern of protein genetic variation in a total sample drawn from an artificial agglomerate of 12 tribal populations of Central and South America, analyzing the pooled sample as though it were a single population. Several striking findings emerge. (1) Mean heterozygosity is not sensitive to agglomeration, but the number of different alleles (allele count) is inflated, relative to neutral mutation/drift/equilibrium expectation. (2) The inflation is most serious for rare alleles, especially those which originally occurred as tribally restricted "private" polymorphisms. (3) The degree of inflation is an increasing function of both the number of populations encompassed by the sample and of the genetic divergence among them. (4) Treating an agglomerated population as though it were a panmictic unit of long standing can lead to serious biases in estimates of mutation rates, selection pressures, and effective population sizes. Current DNA studies indicate the presence of numerous genetic variants in human populations. The findings and conclusions of this paper are all fully applicable to the study of genetic variation at the DNA level as well.

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The Mendelian inheritance of genetic mutations can lead to adult-onset cardiovascular disease. Several genetic loci have been mapped for the familial form of Thoracic Aortic Aneurysms (TAA), and many causal mutations have been identified for this disease. Intracranial Aneurysms (ICA) also show linkage heterogeneity, but no mutations have been identified causing familial ICA alone. Here, we characterized a large family (TAA288) with an autosomal dominant pattern of inherited aneurysms. It is intriguing that female patients predominantly present with ICA and male patients predominantly with TAA in this family. To identify a causal mutation in this family, a genome-wide linkage analysis was previously performed on nine members of this family using the 50k GenChips Hind array from Affymetrix. This analysis eventually identified a single disease-segregating locus, on chromosome 5p15. We build upon this previous analysis in this study, hypothesizing that a genetic mutation inherited in this locus leads to the sex-specific phenotype of TAA and ICA in this family First we refined the boundaries of the 5p15 disease linked locus down to the genomic coordinates 5p15: 3,424,465- 6,312,925 (GRCh37/hg19 Assembly). This locus was named the TAA288 critical interval. Next, we sequenced candidate genes within the TAA288 critical interval. The selection of genes was simplified by the relatively small number of well-characterized genetic elements within the region. Seeking novel or rare disease-segregating variants, we initially observed a single point alteration in the metalloproteinase gene ADAMTS16 fulfilling this criteria. This variant was later classified as a low-frequency population polymorphism (rs72647757), but we continued to explore the potential role of the ADAMTS16 as the cause of disease in TAA288. We observed that fibroblasts cultured from TAA288 patients consistently upregulated the expression of this gene more strongly compared to matched control fibroblasts when treated with the cytokine TGF-β1, though there was some variation in the exact nature of this expression. We also observed evidence that this protein is expressed at elevated levels in aortic aneurysm tissue from patients with mutations in the gene TGFBR2 and Marfan syndrome, shown by immunohistochemical detection of this protein.

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In both euploid Chinese hamster (Cricetulus griseus) cells and pseudodiploid Chinese hamster ovary (CHO) cells, gene assignments were accomplished by G band chromosome and isozyme analysis (32 isozymes) of interspecific somatic cell hybrids obtained after HAT selection of mouse CL 1D (TK('-)) cells which were PEG-fused with either euploid Chinese hamster cells or HPRT('-) CHO cells. Hybrids slowly segregated hamster chromosomes. Clone panels consisting of independent hybrid clones and subclones containing different combinations of Chinese hamster chromosomes and isozymes were established from each type of fusion.^ These clone panels enabled us to provisionally assign the loci for: nucleoside phosphorylase (NP), glyoxalase (GLO), glutathione reductase (GSR), adenosine kinase (ADK), esterase D (ESD), peptidases B and S (PEPB and -S) and phosphoglucomutase 2 (PGM2, human nomenclature) to chromosome 1; adenylate kinase 1 (AK1), adenosine deaminase (ADA) and inosine triosephosphatase (ITP) to chromosome 6; triosephosphate isomerase (TPI) to chromosome 8; and glucose phosphate isomerse (GPI) and peptidase D (PEPD) to chromosome 9.^ We also confirm the assignments of 6-phosphogluconate dehydrogenase (PGD), PGM1, enolase 1 (ENO1) and diptheria toxin sensitivity (DTS) to chromosome 2 as well as provisionally assign galactose-1-phosphate uridyl transferase (GALT) and AK2 to chromosome 2. Selection in either HAT or BrdU for hybrids that had retained or lost the chromosome carrying the locus for TK enabled us to assign the loci for TK, galactokinase (GALK) and acid phosphatase 1 (ACP1) to Chinese hamster chromosome 7.^ These results are discussed in relation to current theories on the basis for high frequency of drug resistant autosomal recessive mutants in CHO cells and conservation of mammalian autosomal linkage groups. ^

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Theoretical and empirical studies were conducted on the pattern of nucleotide and amino acid substitution in evolution, taking into account the effects of mutation at the nucleotide level and purifying selection at the amino acid level. A theoretical model for predicting the evolutionary change in electrophoretic mobility of a protein was also developed by using information on the pattern of amino acid substitution. The specific problems studied and the main results obtained are as follows: (1) Estimation of the pattern of nucleotide substitution in DNA nuclear genomes. The pattern of point mutations and nucleotide substitutions among the four different nucleotides are inferred from the evolutionary changes of pseudogenes and functional genes, respectively. Both patterns are non-random, the rate of change varying considerably with nucleotide pair, and that in both cases transitions occur somewhat more frequently than transversions. In protein evolution, substitution occurs more often between amino acids with similar physico-chemical properties than between dissimilar amino acids. (2) Estimation of the pattern of nucleotide substitution in RNA genomes. The majority of mutations in retroviruses accumulate at the reverse transcription stage. Selection at the amino acid level is very weak, and almost non-existent between synonymous codons. The pattern of mutation is very different from that in DNA genomes. Nevertheless, the pattern of purifying selection at the amino acid level is similar to that in DNA genomes, although selection intensity is much weaker. (3) Evaluation of the determinants of molecular evolutionary rates in protein-coding genes. Based on rates of nucleotide substitution for mammalian genes, the rate of amino acid substitution of a protein is determined by its amino acid composition. The content of glycine is shown to correlate strongly and negatively with the rate of substitution. Empirical formulae, called indices of mutability, are developed in order to predict the rate of molecular evolution of a protein from data on its amino acid sequence. (4) Studies on the evolutionary patterns of electrophoretic mobility of proteins. A theoretical model was constructed that predicts the electric charge of a protein at any given pH and its isoelectric point from data on its primary and quaternary structures. Using this model, the evolutionary change in electrophoretic mobilities of different proteins and the expected amount of electrophoretically hidden genetic variation were studied. In the absence of selection for the pI value, proteins will on the average evolve toward a mildly basic pI. (Abstract shortened with permission of author.) ^

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Natural selection is one of the major factors in the evolution of all organisms. Detecting the signature of natural selection has been a central theme in evolutionary genetics. With the availability of microsatellite data, it is of interest to study how natural selection can be detected with microsatellites. ^ The overall aim of this research is to detect signatures of natural selection with data on genetic variation at microsatellite loci. The null hypothesis to be tested is the neutral mutation theory of molecular evolution, which states that different alleles at a locus have equivalent effects on fitness. Currently used tests of this hypothesis based on data on genetic polymorphism in natural populations presume that mutations at the loci follow the infinite allele/site models (IAM, ISM), in the sense that at each site at most only one mutation event is recorded, and each mutation leads to an allele not seen before in the population. Microsatellite loci, which are abundant in the genome, do not obey these mutation models, since the new alleles at such loci can be created either by contraction or expansion of tandem repeat sizes of core motifs. Since the current genome map is mainly composed of microsatellite loci and this class of loci is still most commonly studied in the context of human genome diversity, this research explores how the current test procedures for testing the neutral mutation hypothesis should be modified to take into account a generalized model of forward-backward stepwise mutations. In addition, recent literature also suggested that past demographic history of populations, presence of population substructure, and varying rates of mutations across loci all have confounding effects for detecting signatures of natural selection. ^ The effects of the stepwise mutation model and other confounding factors on detecting signature of natural selection are the main results of the research. ^

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Complex diseases, such as cancer, are caused by various genetic and environmental factors, and their interactions. Joint analysis of these factors and their interactions would increase the power to detect risk factors but is statistically. Bayesian generalized linear models using student-t prior distributions on coefficients, is a novel method to simultaneously analyze genetic factors, environmental factors, and interactions. I performed simulation studies using three different disease models and demonstrated that the variable selection performance of Bayesian generalized linear models is comparable to that of Bayesian stochastic search variable selection, an improved method for variable selection when compared to standard methods. I further evaluated the variable selection performance of Bayesian generalized linear models using different numbers of candidate covariates and different sample sizes, and provided a guideline for required sample size to achieve a high power of variable selection using Bayesian generalize linear models, considering different scales of number of candidate covariates. ^ Polymorphisms in folate metabolism genes and nutritional factors have been previously associated with lung cancer risk. In this study, I simultaneously analyzed 115 tag SNPs in folate metabolism genes, 14 nutritional factors, and all possible genetic-nutritional interactions from 1239 lung cancer cases and 1692 controls using Bayesian generalized linear models stratified by never, former, and current smoking status. SNPs in MTRR were significantly associated with lung cancer risk across never, former, and current smokers. In never smokers, three SNPs in TYMS and three gene-nutrient interactions, including an interaction between SHMT1 and vitamin B12, an interaction between MTRR and total fat intake, and an interaction between MTR and alcohol use, were also identified as associated with lung cancer risk. These lung cancer risk factors are worthy of further investigation.^

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Alternative RNA splicing is a critical process that contributes variety to protein functions, and further controls cell differentiation and normal development. Although it is known that most eukaryotic genes produce multiple transcripts in which splice site selection is regulated, how RNA binding proteins cooperate to activate and repress specific splice sites is still poorly understood. In addition how the regulation of alternative splicing affects germ cell development is also not well known. In this study, Drosophila Transformer 2 (Tra2) was used as a model to explore both the mechanism of its repressive function on its own pre-mRNA splicing, and the effect of the splicing regulation on spermatogenesis in testis. Half-pint (Hfp), a protein known as splicing activator, was identified in an S2 cell-based RNAi screen as a co-repressor that functions in combination with Tra2 in the splicing repression of the M1 intron. Its repressive splicing function is found to be sequence specific and is dependent on both the weak 3’ splice site and an intronic splicing silencer within the M1 intron. In addition we found that in vivo, two forms of Hfp are expressed in a cell type specific manner. These alternative forms differ at their amino terminus affecting the presence of a region with four RS dipeptides. Using assays in Drosophila S2 cells, we determined that the alternative N terminal domain is necessary in repression. This difference is probably due to differential localization of the two isoforms in the nucleus and cytoplasm. Our in vivo studies show that both Hfp and Tra2 are required for normal spermatogenesis and cooperate in repression of M1 splicing in spermatocytes. But interestingly, Tra2 and Hfp antagonize each other’s function in regulating germline specific alternative splicing of Taf1 (TBP associated factor 1). Genetic and cytological studies showed that mutants of Hfp and Taf1 both cause similar defects in meiosis and spermatogenesis. These results suggest Hfp regulates normal spermatogenesis partially through the regulation of taf1 splicing. These observations indicate that Hfp regulates tra2 and taf1 activity and play an important role in germ cell differentiation of male flies.

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To identify more mutations that can affect the early development of Myxococcus xanthus, the synthetic transposon TnT41 was designed and constructed. By virtue of its special features, it can greatly facilitate the processes of mutation screening/selection, mapping, cloning and DNA sequencing. In addition, it allows for the systematic discovery of genes in regulatory hierarchies using their target promoters. In this study, the minimal regulatory region of the early developmentally regulated gene 4521 was used as a reporter in the TnT41 mutagenesis. Both positive (P) mutations and negative (N) mutations were isolated based on their effects on 4521 expression.^ Four of these mutations, i.e. N1, N2, P52 and P54 were analyzed in detail. Mutations N1 and N2 are insertion mutations in a gene designated sasB. The sasB gene is also identified in this study by genetic and molecular analysis of five UV-generated 4521 suppressor mutations. The sasB gene encodes a protein without meaningful homology in the databases. The sasB gene negatively regulates 4521 expression possibly through the SasS-SasR two component system. A wild-type sasB gene is required for normal M. xanthus fruiting body formation and sporulation.^ Cloning and sequencing analysis of the P52 mutation led to the identification of an operon that encodes the M. xanthus high-affinity branched-chain amino acid transporter system. This liv operon consists of five genes designated livK, livH, livM, livC, and livF, respectively. The Liv proteins are highly similar to their counterparts from other bacteria in both amino acid sequences, functional motifs and predicted secondary structures. This system is required for development since liv null mutations cause abnormality in fruiting body formation and a 100-fold decrease in sporulation efficiency.^ Mutation P54 is a TnT41 insertion in the sscM gene of the ssc chemotaxis system, which has been independently identified by Dr. Shi's lab. The sscM gene encodes a MCP (methyl-accepting chemotaxis protein) homologue. The SscM protein is predicted to contain two transmembrane domains, a signaling domain and at least one putative methylation site. Null mutations of this gene abolish the aggregation of starving cells at a very early stage, though the sporulation levels of the mutant can reach 10% that of wild-type cells. ^