Chromatin regulators shape the genotype–phenotype map

News & View30 November 2010Open Access Chromatin regulators shape the genotype–phenotype map Christian R Landry Corresponding Author Christian R Landry Département de Biologie, PROTEO and Institut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Canada Search for more papers by this author Scott A Rifkin Corresponding Author Scott A Rifkin Section of Ecology, Behavior and Evolution, University of California San Diego, San Diego, CA, USA Search for more papers by this author Christian R Landry Corresponding Author Christian R Landry Département de Biologie, PROTEO and Institut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Canada Search for more papers by this author Scott A Rifkin Corresponding Author Scott A Rifkin Section of Ecology, Behavior and Evolution, University of California San Diego, San Diego, CA, USA Search for more papers by this author Author Information Christian R Landry 1 and Scott A Rifkin 2 1Département de Biologie, PROTEO and Institut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Canada 2Section of Ecology, Behavior and Evolution, University of California San Diego, San Diego, CA, USA *Corresponding authors. Département de Biologie, Institut de Biologie Intégrative et des Systèmes, 1030, Avenue de la Médecine, Université Laval, Québec City, Québec, Canada G1V 0A6. Tel.: +1 418 656 3954; Fax: +1 418 656 7176; E-mail: [email protected] of Ecology, Behavior, and Evolution, Division of Biology, University of California, San Diego, 9500 Gilman Drive, #0116, La Jolla, CA 92093, USA. Tel.: +1 858 822 5748; Fax: +1 858 534 7108; E-mail: [email protected] Molecular Systems Biology (2010)6:434https://doi.org/10.1038/msb.2010.97 PDFDownload PDF of article text and main figures. ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions Figures & Info Whereas mechanistic developmental biology and evolutionary genetics largely proceeded independently from each other throughout most of the twentieth century, new discoveries and technologies have made it possible to revisit longstanding questions of how molecular mechanisms generate the phenotypic effects of alternative alleles. Pioneers such as Schmalhausen (1949) emphasized that phenotypic variation can often be surprisingly limited to both within and between species and proposed that the process of development and its genetic underpinnings are organized to allow a 'reserve of hereditary variability' to accumulate within a species that can then be mobilized when conditions change . We are now in a position to dissect the molecular mechanisms that generate the apparent mismatch between extensive genetic and limited phenotypic variation. One important milestone was the discovery that knocking out the activity of the molecular chaperone Hsp90 results in an efflorescence of phenotypic variation due to the exposure of underlying genetic variation. The effects of new mutations are context dependent, and functional Hsp90 dramatically reduces these effects under normal conditions (Rutherford and Lindquist, 1998). Such genes that allow variation to accumulate without having an effect have been dubbed capacitors (Figure 1). In a recent article published in Molecular Systems Biology, Tirosh et al (2010) provide new evidence that chromatin regulators may also act as capacitors for gene expression. Figure 1.Physiological and developmental mechanisms reduce the spectrum of possible phenotypes that can be produced from a set of genotypes. Genes or nodes in the network that increase the phenotypic effects of mutations when removed are potential capacitors (orange node here). Download figure Download PowerPoint Early proposals for explaining the maintenance of genetic variation within populations focused on external forces, e.g., balancing and purifying selection (Lewontin, 1974). Better data on how genetic variation is distributed within and between species and how genetic information is actuated to produce phenotypes made it possible to consider intrinsic factors. For instance, the redundancy of the genetic code provided an explicit internal mechanism for how the effects of genetic variation (at least on coding sequence) could be masked or generated. Kimura (1968), King and Jukes (1969) seized upon this and other functional data to support their claim that most genetic variation is selectively neutral or nearly so. Models of how metabolic flux is controlled along linear pathways showed why null alleles of metabolic enzymes tend to be recessive and therefore that network organization affects the neutrality of alleles (Kacser and Burns, 1981). One of the key insights of these papers was that genotypic variation is processed and filtered at multiple steps during the generation of a phenotype, such that its effects may be removed long before selection even has a chance to see it. There are more possible genotypes than phenotypes (Figure 1). The discovery that molecular chaperones can buffer genetic variation led to an ongoing search for other classes of genes that act as capacitors. Tirosh et al (2010) use gene expression profiling in engineered strains of two species of yeast to show that chromatin regulators may have this role and mask the effects of genetic divergence between species. They reasoned that if chromatin regulators reduce the effects of allelic differences on gene expression, then deleting them should increase the divergence of gene expression levels between species. In order to test this hypothesis, they deleted eight different chromatin regulators and one transcription factor in two closely related species of yeast, Saccharomyces cerevisiae and S. paradoxus, which diverged about 10 Mya, but normally have similar expression patterns (Tirosh et al, 2009). When the same regulator was deleted in each species, genome-wide gene expression divergence systematically increased. A control experiment where 11 metabolic genes were deleted did not reveal such a systematic effect, implying that chromatin regulators are capacitors and that this is not an effect of all deletions—at least on a system-wide scale. S. cerevisiae and S. paradoxus have the key property that they can breed and produce hybrids. This allowed Tirosh et al (2010) to ask whether the effects of the mutations that were revealed by the chromatin regulator knockouts are generally in cis (local) to the affected gene or in trans. Using allele-specific expression profiling in F1 hybrids, they showed that most of the increased divergence upon chromatin regulator deletion could be traced to trans effects. This implies that chromatin regulators buffer expression variation by acting on components located upstream of the expressed genes themselves. This suggests that chromatin regulators may function as capacitors that prevent variation occurring at upstream locations from propagating downstream in the regulatory network. The demonstration that specific molecules act generally to funnel pervasive genetic variation into a smaller spectrum of phenotypes (Rutherford and Lindquist, 1998; Tirosh et al, 2010) implies that the mapping between genotypic and phenotypic states might also evolve on microevolutionary timescales. The set of genotypes that can produce a particular phenotype might shrink or grow depending upon allelic variation at a chromatin regulator locus, although it is far from clear that selection can discriminate between alleles of capacitors based solely on their ability to buffer genetic variation. To clarify this point, we need to identify segregating alleles of these capacitors with different buffering abilities in natural populations and further explore the conditions that favor their fixation or elimination. The ability to measure heritability of noise in gene expression in natural strains of yeast opens this possibility (Ansel et al, 2008). Also left unresolved is whether chromatin regulators can buffer mutations that occur de novo. Indeed, the genetic differences that were tested using these two species have been sorted by billions of generations of natural selection. Finally, the molecular mechanisms by which chromatin regulators may buffer variation are unknown. The chaperone function of Hsp90 directly suggests a model, by which it can accommodate the accumulation of non-synonymous substitutions (Rutherford and Lindquist, 1998). As more capacitors are discovered (Levy and Siegal, 2008), both global and local, linking their molecular mechanisms of action to their buffering effects will be an important component in explaining how genotype is mapped to phenotype and in integrating developmental and evolutionary genetics. Conflict of Interest The authors declare that they have no conflict of interest. References Ansel J, Bottin H, Rodriguez-Beltran C, Damon C, Nagarajan M, Fehrmann S, François J, Yvert G (2008) Cell-to-cell stochastic variation in gene expression is a complex genetic trait. PLoS Genet 4: e1000049CrossrefCASPubMedWeb of Science®Google Scholar Kacser H, Burns JA (1981) The molecular basis of dominance. Genetics 97: 639–666CrossrefCASPubMedWeb of Science®Google Scholar Kimura M (1968) Genetic variability maintained in a finite population due to mutational production of neutral and nearly neutral isoalleles. Genet Res 11: 247–270CrossrefCASPubMedWeb of Science®Google Scholar King JL, Jukes TH (1969) Non-Darwinian evolution. Science 164: 788–798CrossrefCASPubMedWeb of Science®Google Scholar Levy SF, Siegal ML (2008) Network hubs buffer environmental variation in Saccharomyces cerevisiae. PLoS Biol 6: e264CrossrefCASPubMedWeb of Science®Google Scholar Lewontin RC (1974) The Genetic Basis of Evolutionary Change. New York: Columbia UniversityGoogle Scholar Rutherford SL, Lindquist S (1998) Hsp90 as a capacitor for morphological evolution. Nature 396: 336–342CrossrefCASPubMedWeb of Science®Google Scholar Schmalhausen II (1949) Factors of Evolution: the Theory of Stabilizing Selection. Philadelphia, PA: Blakiston CompanyGoogle Scholar Tirosh I, Reikhav S, Levy AA, Barkai N (2009) A yeast hybrid provides insight into the evolution of gene expression regulation. Science 324: 659–662CrossrefCASPubMedWeb of Science®Google Scholar Tirosh I, Reikhav S, Sigal N, Assia Y, Barkai N (2010) Chromatin regulators as capacitors of interspecies variations in gene expression. Mol Syst Biol 6: 435 accession:10.1038/msb.2010.84 Wiley Online LibraryCASPubMedWeb of Science®Google Scholar Previous ArticleNext Article Volume 6Issue 11 January 2010In this issue FiguresReferencesRelatedDetailsLoading ...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.