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1.
Genome Biol ; 21(1): 15, 2020 01 23.
Article in English | MEDLINE | ID: mdl-31969194

ABSTRACT

BACKGROUND: Arthropods comprise the largest and most diverse phylum on Earth and play vital roles in nearly every ecosystem. Their diversity stems in part from variations on a conserved body plan, resulting from and recorded in adaptive changes in the genome. Dissection of the genomic record of sequence change enables broad questions regarding genome evolution to be addressed, even across hyper-diverse taxa within arthropods. RESULTS: Using 76 whole genome sequences representing 21 orders spanning more than 500 million years of arthropod evolution, we document changes in gene and protein domain content and provide temporal and phylogenetic context for interpreting these innovations. We identify many novel gene families that arose early in the evolution of arthropods and during the diversification of insects into modern orders. We reveal unexpected variation in patterns of DNA methylation across arthropods and examples of gene family and protein domain evolution coincident with the appearance of notable phenotypic and physiological adaptations such as flight, metamorphosis, sociality, and chemoperception. CONCLUSIONS: These analyses demonstrate how large-scale comparative genomics can provide broad new insights into the genotype to phenotype map and generate testable hypotheses about the evolution of animal diversity.


Subject(s)
Arthropods/genetics , Evolution, Molecular , Animals , Arthropods/classification , DNA Methylation , Genetic Speciation , Genetic Variation , Phylogeny
2.
Neuro Oncol ; 20(12): 1625-1633, 2018 11 12.
Article in English | MEDLINE | ID: mdl-30165405

ABSTRACT

Background: The genomic characterization of sporadically arising gliomas has delineated molecularly and clinically distinct subclasses of disease. However, less is known about the molecular nature of gliomas that are familial in origin. We performed molecular subtyping of 163 tumor specimens from individuals with a family history of glioma and integrated germline and somatic genomic data to characterize the pathogenesis of 20 tumors in additional detail. Methods: Immunohistochemical analyses were performed on formalin-fixed, paraffin-embedded tumor sections to determine molecular subtypes of glioma. For 20 cases, tumor DNA was exome sequenced on an Illumina HiSeq 2000 platform and copy number profiling was performed on the Illumina HumanOmniExpress BeadChip. Genotypes at glioma risk polymorphisms were determined from germline DNA profiled on the Illumina Infinium OncoArray and deleterious germline mutations were identified from germline sequencing data. Results: All 3 molecular subtypes of sporadic glioma were represented in the overall case series, including molecular glioblastoma (n = 102), oligodendroglioma (n = 21), and astrocytoma (n = 20). Detailed profiling of 20 of these cases showed characteristic subtype-specific alterations at frequencies comparable to sporadic glioma cases. All 20 cases had alterations in genes regulating telomere length. Frequencies of common glioma risk alleles were similar to those among sporadic cases, and correlations between risk alleles and same-gene somatic mutations were not observed. Conclusions: This study illustrates that the molecular characteristics of familial tumors profiled largely recapitulate what is known about sporadic glioma and that both germline and somatic molecular features target common core pathways involved in gliomagenesis. Key Points: 1. Familial and sporadic gliomas display highly comparable molecular landscapes. 2. Germline and somatic molecular events target common core pathways involved in gliomagenesis. 3. Carriage of germline glioma risk variants is not associated with somatic events in the same gene.


Subject(s)
Biomarkers, Tumor/genetics , Brain Neoplasms/classification , Brain Neoplasms/pathology , Genetic Predisposition to Disease , Germ-Line Mutation , Glioma/classification , Glioma/pathology , Adult , Brain Neoplasms/genetics , DNA Copy Number Variations , DNA, Neoplasm , Exome , Genomics , Glioma/genetics , Humans , Middle Aged , Prognosis
3.
Oncotarget ; 8(7): 11114-11126, 2017 Feb 14.
Article in English | MEDLINE | ID: mdl-28052041

ABSTRACT

The "conditionally reprogrammed cells" (CRC) method, using a Rho kinase inhibitor and irradiated mouse fibroblast cells has been described for the efficient growth of cells from malignant and non-malignant samples from primary tumor and non-malignant sites. Using the CRC method, four institutions independently cultured tumor tissues from 48 non-small cell lung cancers (NSCLC, mostly from primary resected tumors) and 22 non-malignant lungs. We found that epithelial cells could be cultured from tumor and non-malignant lung. However, epithelial cells cultured from tumors had features of non-malignant respiratory epithelial cells which include: 1) among 22 mutations found in the original tumors only two mutations were found in the CRC cultures with reduced frequency (31% to 13% and 92% to 15% from original tumor and CRC culture respectively); 2) copy number variation was analyzed in 9 tumor and their CRC cultures and only diploid patterns were found in CRC cultures; 3) mRNA expression profiles were similar to those of normal respiratory epithelial cells; and 4) co-culture of tumor and non-malignant lung epithelial cells resulted in mostly non-malignant cells. We conclude that CRC method is a highly selective and useful method for the growth of non-malignant respiratory epithelial cells from tumor specimens and only occasionally do such CRC cultures contain a small subpopulation of cancer cells marked by oncogenic mutations. While our findings are restricted to resected primary NSCLC, they indicated the necessity to fully characterize all CRC cultures and the need to develop culture technology that facilitates the growth of primary lung cancers.


Subject(s)
Carcinoma, Non-Small-Cell Lung/genetics , Cell Proliferation/genetics , Coculture Techniques/methods , Epithelial Cells/metabolism , Lung Neoplasms/genetics , A549 Cells , Adult , Aged , Aged, 80 and over , Base Sequence , Carcinoma, Non-Small-Cell Lung/pathology , Cell Line, Tumor , Cells, Cultured , DNA Copy Number Variations , DNA Mutational Analysis/methods , Epithelial Cells/cytology , Female , Gene Expression Profiling/methods , Genetic Predisposition to Disease/genetics , Humans , Lung Neoplasms/pathology , Male , Middle Aged , Mutation , Respiratory Mucosa/cytology , Respiratory Mucosa/metabolism , Tumor Cells, Cultured
4.
G3 (Bethesda) ; 4(12): 2433-49, 2014 Oct 17.
Article in English | MEDLINE | ID: mdl-25326424

ABSTRACT

There has been a renewed interest in investigating the role of stabilizing selection acting on genome-wide traits such as codon usage bias. Codon bias, when synonymous codons are used at unequal frequencies, occurs in a wide variety of taxa. Standard evolutionary models explain the maintenance of codon bias through a balance of genetic drift, mutation and weak purifying selection. The efficacy of selection is expected to be reduced in regions of suppressed recombination. Contrary to observations in Drosophila melanogaster, some recent studies have failed to detect a relationship between the recombination rate, intensity of selection acting at synonymous sites, and the magnitude of codon bias as predicted under these standard models. Here, we examined codon bias in 2798 protein coding loci on the third chromosome of D. pseudoobscura using whole-genome sequences of 47 individuals, representing five common third chromosome gene arrangements. Fine-scale recombination maps were constructed using more than 1 million segregating sites. As expected, recombination was demonstrated to be significantly suppressed between chromosome arrangements, allowing for a direct examination of the relationship between recombination, selection, and codon bias. As with other Drosophila species, we observe a strong mutational bias away from the most frequently used codons. We find the rate of synonymous and nonsynonymous polymorphism is variable between different amino acids. However, we do not observe a reduction in codon bias or the strength of selection in regions of suppressed recombination as expected. Instead, we find that the interaction between weak stabilizing selection and mutational bias likely plays a role in shaping the composition of synonymous codons across the third chromosome in D. pseudoobscura.


Subject(s)
Chromosomes/genetics , Drosophila/genetics , Animals , Codon , High-Throughput Nucleotide Sequencing , Polymorphism, Single Nucleotide , Recombination, Genetic , Selection, Genetic , Sequence Analysis, DNA
5.
Genome Res ; 24(7): 1209-23, 2014 Jul.
Article in English | MEDLINE | ID: mdl-24985915

ABSTRACT

Accurate gene model annotation of reference genomes is critical for making them useful. The modENCODE project has improved the D. melanogaster genome annotation by using deep and diverse high-throughput data. Since transcriptional activity that has been evolutionarily conserved is likely to have an advantageous function, we have performed large-scale interspecific comparisons to increase confidence in predicted annotations. To support comparative genomics, we filled in divergence gaps in the Drosophila phylogeny by generating draft genomes for eight new species. For comparative transcriptome analysis, we generated mRNA expression profiles on 81 samples from multiple tissues and developmental stages of 15 Drosophila species, and we performed cap analysis of gene expression in D. melanogaster and D. pseudoobscura. We also describe conservation of four distinct core promoter structures composed of combinations of elements at three positions. Overall, each type of genomic feature shows a characteristic divergence rate relative to neutral models, highlighting the value of multispecies alignment in annotating a target genome that should prove useful in the annotation of other high priority genomes, especially human and other mammalian genomes that are rich in noncoding sequences. We report that the vast majority of elements in the annotation are evolutionarily conserved, indicating that the annotation will be an important springboard for functional genetic testing by the Drosophila community.


Subject(s)
Computational Biology/methods , Drosophila melanogaster/genetics , Gene Expression Profiling , Molecular Sequence Annotation , Transcriptome , Animals , Cluster Analysis , Drosophila melanogaster/classification , Evolution, Molecular , Exons , Female , Genome, Insect , Humans , Male , Nucleotide Motifs , Phylogeny , Position-Specific Scoring Matrices , Promoter Regions, Genetic , RNA Editing , RNA Splice Sites , RNA Splicing , Reproducibility of Results , Transcription Initiation Site
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