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      Remarkably ancient balanced polymorphisms in a multi-locus gene network

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          Abstract

          Local adaptations within species are often governed by several interacting genes scattered throughout the genome. Single-locus models of selection cannot explain the maintenance of such complex variation because recombination separates co-adapted alleles. Here we report a novel type of intraspecific multi-locus genetic variation that has been maintained over a vast period of time. The galactose ( GAL) utilization gene network of the brewer’s yeast relative Saccharomyces kudriavzevii exists in two distinct states: a functional gene network in Portuguese strains and, in Japanese strains, a non-functional gene network of allelic pseudogenes. Genome sequencing of all available S. kudriavzevii strains revealed that none of the functional GAL genes were acquired from other species. Rather, these polymorphisms have been maintained for nearly the entire history of the species, despite more recent gene flow genome-wide. Experimental evidence suggests that inactivation of the GAL3 and GAL80 regulatory genes facilitated the origin and long-term maintenance of the two gene network states. This striking example of a balanced unlinked gene network polymorphism introduces a remarkable type of intraspecific variation that may be widespread.

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            MRBAYES: Bayesian inference of phylogenetic trees.

            The program MRBAYES performs Bayesian inference of phylogeny using a variant of Markov chain Monte Carlo. MRBAYES, including the source code, documentation, sample data files, and an executable, is available at http://brahms.biology.rochester.edu/software.html.
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              Nature, nurture, or chance: stochastic gene expression and its consequences.

              Gene expression is a fundamentally stochastic process, with randomness in transcription and translation leading to cell-to-cell variations in mRNA and protein levels. This variation appears in organisms ranging from microbes to metazoans, and its characteristics depend both on the biophysical parameters governing gene expression and on gene network structure. Stochastic gene expression has important consequences for cellular function, being beneficial in some contexts and harmful in others. These situations include the stress response, metabolism, development, the cell cycle, circadian rhythms, and aging.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                0028-0836
                1476-4687
                4 January 2010
                17 February 2010
                4 March 2010
                4 September 2010
                : 464
                : 7285
                : 54-58
                Affiliations
                [1 ] Department of Biochemistry and Molecular Genetics, University of Colorado Denver Health Sciences Center, Aurora, CO 80045, USA
                [2 ] Center for Genome Sciences, Department of Genetics, Washington University in St. Louis School of Medicine, St. Louis, MO 63108, USA
                [3 ] Centro de Recursos Microbiológicos, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
                [4 ] Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
                Author notes
                Correspondence and requests for materials should be addressed to M. J.: mark.johnston@ 123456ucdenver.edu .

                Author Contributions CTH, PG, JPS, MJ, and AR conceived and designed experiments; CTH, PG, and JD performed experiments; CTH sequenced and assembled genomes; CTH and AR analyzed data; CTH, MJ, and AR wrote the paper with advice and consent from all authors.

                Article
                nihpa165357
                10.1038/nature08791
                2834422
                20164837
                36808855-ea36-4a6d-b24b-915417f54d5a

                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Funding
                Funded by: National Human Genome Research Institute : NHGRI
                Funded by: National Institute of General Medical Sciences : NIGMS
                Award ID: T32 HG000045-10 ||HG
                Funded by: National Human Genome Research Institute : NHGRI
                Funded by: National Institute of General Medical Sciences : NIGMS
                Award ID: R01 GM032540-27 ||GM
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