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Genome
About: Genome is a research topic. Over the lifetime, 74231 publications have been published within this topic receiving 3819713 citations.
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TL;DR: The genomes of two Prochlorococcus strains that span the largest evolutionary distance within the Pro chlorococcus lineage are compared and reveal dynamic genomes that are constantly changing in response to myriad selection pressures.
Abstract: The marine unicellular cyanobacterium Prochlorococcus is the smallest-known oxygen-evolving autotroph1. It numerically dominates the phytoplankton in the tropical and subtropical oceans2,3, and is responsible for a significant fraction of global photosynthesis. Here we compare the genomes of two Prochlorococcus strains that span the largest evolutionary distance within the Prochlorococcus lineage4 and that have different minimum, maximum and optimal light intensities for growth5. The high-light-adapted ecotype has the smallest genome (1,657,990 base pairs, 1,716 genes) of any known oxygenic phototroph, whereas the genome of its low-light-adapted counterpart is significantly larger, at 2,410,873 base pairs (2,275 genes). The comparative architectures of these two strains reveal dynamic genomes that are constantly changing in response to myriad selection pressures. Although the two strains have 1,350 genes in common, a significant number are not shared, and these have been differentially retained from the common ancestor, or acquired through duplication or lateral transfer. Some of these genes have obvious roles in determining the relative fitness of the ecotypes in response to key environmental variables, and hence in regulating their distribution and abundance in the oceans.
1,106 citations
Leibniz Association1, University of Zurich2, James Hutton Institute3, Murdoch University4, University of Minnesota5, National Institutes of Health6, University of California, Riverside7, European Bioinformatics Institute8, University of Udine9, University of Helsinki10, Norwich University11, Zhejiang University12, Kansas State University13, University of Adelaide14, University of East Anglia15, National Institute of Agricultural Botany16, Technische Universität München17, Lund University18, Government of Western Australia19, Yangtze University20, University of Dundee21, University of Western Australia22
TL;DR: The importance of the barley reference sequence for breeding is demonstrated by inspecting the genomic partitioning of sequence variation in modern elite germplasm, highlighting regions vulnerable to genetic erosion.
Abstract: Cereal grasses of the Triticeae tribe have been the major food source in temperate regions since the dawn of agriculture. Their large genomes are characterized by a high content of repetitive elements and large pericentromeric regions that are virtually devoid of meiotic recombination. Here we present a high-quality reference genome assembly for barley (Hordeum vulgare L.). We use chromosome conformation capture mapping to derive the linear order of sequences across the pericentromeric space and to investigate the spatial organization of chromatin in the nucleus at megabase resolution. The composition of genes and repetitive elements differs between distal and proximal regions. Gene family analyses reveal lineage-specific duplications of genes involved in the transport of nutrients to developing seeds and the mobilization of carbohydrates in grains. We demonstrate the importance of the barley reference sequence for breeding by inspecting the genomic partitioning of sequence variation in modern elite germplasm, highlighting regions vulnerable to genetic erosion.
1,105 citations
TL;DR: The completion of the human tyrosine kinase family tree provides a framework for further advances in biomedical science and identifies several novel genes and enabled the creation of a nonredundant catalog of tyrosines kinase genes.
Abstract: As the sequencing of the human genome is completed by the Human Genome Project, the analysis of this rich source of information will illuminate many areas in medicine and biology. The protein tyrosine kinases are a large multigene family with particular relevance to many human diseases, including cancer. A search of the human genome for tyrosine kinase coding elements identified several novel genes and enabled the creation of a nonredundant catalog of tyrosine kinase genes. Ninety unique kinase genes can be identified in the human genome, along with five pseudogenes. Of the 90 tyrosine kinases, 58 are receptor type, distributed into 20 subfamilies. The 32 nonreceptor tyrosine kinases can be placed in 10 subfamilies. Additionally, mouse orthologs can be identified for nearly all the human tyrosine kinases. The completion of the human tyrosine kinase family tree provides a framework for further advances in biomedical science.
1,103 citations
TL;DR: It is shown that 215 genes or proteins in the complete genomes of Escherichia coli, Haemophilus influenzae and Methanococcus jannaschii are involved in 64 unique fusion events, which is able to predict functional associations of proteins.
Abstract: A large-scale effort to measure, detect and analyse protein-protein interactions using experimental methods is under way. These include biochemistry such as co-immunoprecipitation or crosslinking, molecular biology such as the two-hybrid system or phage display, and genetics such as unlinked noncomplementing mutant detection. Using the two-hybrid system, an international effort to analyse the complete yeast genome is in progress. Evidently, all these approaches are tedious, labour intensive and inaccurate. From a computational perspective, the question is how can we predict that two proteins interact from structure or sequence alone. Here we present a method that identifies gene-fusion events in complete genomes, solely based on sequence comparison. Because there must be selective pressure for certain genes to be fused over the course of evolution, we are able to predict functional associations of proteins. We show that 215 genes or proteins in the complete genomes of Escherichia coli, Haemophilus influenzae and Methanococcus jannaschii are involved in 64 unique fusion events. The approach is general, and can be applied even to genes of unknown function.
1,102 citations
Broad Institute1, Harvard University2, University of Chicago3, Duke University4, Lawrence Berkeley National Laboratory5, Massachusetts Institute of Technology6, Ontario Institute for Cancer Research7, University of Florida8, University of Liège9, Memorial Sloan Kettering Cancer Center10, Utrecht University11, University of Cambridge12, National Institutes of Health13, University of California, Berkeley14, Cold Spring Harbor Laboratory15, University of Connecticut16, Washington University in St. Louis17, Affymetrix18, Indiana University19, University of California, Santa Cruz20, Rutgers University21, University of California, San Diego22, Fred Hutchinson Cancer Research Center23
TL;DR: The Drosophila Encyclopedia of DNA Elements (modENCODE) project as mentioned in this paper has been used to map transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines.
Abstract: To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation.
1,102 citations