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Aguilar-Rodríguez J, Jakobson CM, Jarosz DF. The Hsp90 Molecular Chaperone as a Global Modifier of the Genotype-Phenotype-Fitness Map: An Evolutionary Perspective. J Mol Biol 2024; 436:168846. [PMID: 39481633 PMCID: PMC11608137 DOI: 10.1016/j.jmb.2024.168846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2024] [Revised: 10/24/2024] [Accepted: 10/25/2024] [Indexed: 11/02/2024]
Abstract
Global modifier genes influence the mapping of genotypes onto phenotypes and fitness through their epistatic interactions with genetic variants on a massive scale. The first such factor to be identified, Hsp90, is a highly conserved molecular chaperone that plays a central role in protein homeostasis. Hsp90 is a "hub of hubs" that chaperones proteins engaged in many key cellular and developmental regulatory networks. These clients, which are enriched in kinases, transcription factors, and E3 ubiquitin ligases, drive diverse cellular functions and are themselves highly connected. By contrast to many other hub proteins, the abundance and activity of Hsp90 changes substantially in response to shifting environmental conditions. As a result, Hsp90 modifies the functional impact of many genetic variants simultaneously in a manner that depends on environmental stress. Studies in diverse organisms suggest that this coupling between Hsp90 function and challenging environments exerts a substantial impact on what parts of the genome are visible to natural selection, expanding adaptive opportunities when most needed. In this Perspective, we explore the multifaceted role of Hsp90 as global modifier of the genotype-phenotype-fitness map as well as its implications for evolution in nature and the clinic.
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Affiliation(s)
- José Aguilar-Rodríguez
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA; Department of Biology, Stanford University, Stanford, CA, USA
| | - Christopher M Jakobson
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Daniel F Jarosz
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA, USA.
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Jakobson CM, Hartl J, Trébulle P, Mülleder M, Jarosz DF, Ralser M. A genome-to-proteome atlas charts natural variants controlling proteome diversity and forecasts their fitness effects. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.18.619054. [PMID: 39484408 PMCID: PMC11526991 DOI: 10.1101/2024.10.18.619054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/03/2024]
Abstract
Despite abundant genomic and phenotypic data across individuals and environments, the functional impact of most mutations on phenotype remains unclear. Here, we bridge this gap by linking genome to proteome in 800 meiotic progeny from an intercross between two closely related Saccharomyces cerevisiae isolates adapted to distinct niches. Modest genetic distance between the parents generated remarkable proteomic diversity that was amplified in the progeny and captured by 6,476 genotype-protein associations, over 1,600 of which we resolved to single variants. Proteomic adaptation emerged through the combined action of numerous cis- and trans-regulatory mutations, a regulatory architecture that was conserved across the species. Notably, trans-regulatory variants often arose in proteins not traditionally associated with gene regulation, such as enzymes. Moreover, the proteomic consequences of mutations predicted fitness under various stresses. Our study demonstrates that the collective action of natural genetic variants drives dramatic proteome diversification, with molecular consequences that forecast phenotypic outcomes.
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Affiliation(s)
- Christopher M. Jakobson
- Depasssrtment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Johannes Hartl
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Biochemistry, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Pauline Trébulle
- Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Michael Mülleder
- Core Facility High-Throughput Mass Spectrometry, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Daniel F. Jarosz
- Depasssrtment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Markus Ralser
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Biochemistry, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Max Planck Institute for Molecular Genetics, Berlin, Germany
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3
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Jakobson CM, Aguilar-Rodríguez J, Jarosz DF. Hsp90 shapes adaptation by controlling the fitness consequences of regulatory variation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.30.564848. [PMID: 37961536 PMCID: PMC10634948 DOI: 10.1101/2023.10.30.564848] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
The essential stress-responsive chaperone Hsp90 impacts development and adaptation from microbes to humans. Yet despite evidence of its role in evolution, pathogenesis, and oncogenic transformation, the molecular mechanisms by which Hsp90 alters the consequences of mutations remain vigorously debated. Here we exploit the power of nucleotide-resolution genetic mapping in Saccharomyces cerevisiae to uncover more than 1,000 natural variant-to-phenotype associations governed by this molecular chaperone. Strikingly, Hsp90 more frequently modified the phenotypic effects of cis-regulatory variation than variants that altered protein sequence. Moreover, these interactions made the largest contribution to Hsp90-dependent heredity. Nearly all interacting variants-both regulatory and protein-coding-fell within clients of Hsp90 or targets of its direct binding partners. Hsp90 activity affected mutations in evolutionarily young genes, segmental deletions, and heterozygotes, highlighting its influence on variation central to evolutionary novelty. Reconciling the diverse epistatic effects of this chaperone, synthetic transcriptional regulation and reconstructions of natural alleles by genome editing revealed a central role for Hsp90 in regulating the fundamental relationship between activity and phenotype. Our findings establish that non-coding variation is a core driver of Hsp90's influence on heredity, offering a mechanistic explanation for the chaperone's strong effects on evolution and development across species.
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Affiliation(s)
- Christopher M. Jakobson
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA
- These authors contributed equally
| | - José Aguilar-Rodríguez
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biology, Stanford University, Stanford, CA, USA
- These authors contributed equally
| | - Daniel F. Jarosz
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA, USA
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Kovuri P, Yadav A, Sinha H. Role of genetic architecture in phenotypic plasticity. Trends Genet 2023; 39:703-714. [PMID: 37173192 DOI: 10.1016/j.tig.2023.04.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 04/06/2023] [Accepted: 04/11/2023] [Indexed: 05/15/2023]
Abstract
Phenotypic plasticity, the ability of an organism to display different phenotypes across environments, is widespread in nature. Plasticity aids survival in novel environments. Herein, we review studies from yeast that allow us to start uncovering the genetic architecture of phenotypic plasticity. Genetic variants and their interactions impact the phenotype in different environments, and distinct environments modulate the impact of genetic variants and their interactions on the phenotype. Because of this, certain hidden genetic variation is expressed in specific genetic and environmental backgrounds. A better understanding of the genetic mechanisms of phenotypic plasticity will help to determine short- and long-term responses to selection and how wide variation in disease manifestation occurs in human populations.
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Affiliation(s)
- Purnima Kovuri
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, IIT Madras, Chennai, India; Centre for Integrative Biology and Systems mEdicine (IBSE), IIT Madras, Chennai, India; Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, Chennai, India
| | - Anupama Yadav
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Himanshu Sinha
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, IIT Madras, Chennai, India; Centre for Integrative Biology and Systems mEdicine (IBSE), IIT Madras, Chennai, India; Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, Chennai, India.
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Žun G, Doberšek K, Petrovič U. Construction and evaluation of gRNA arrays for multiplex CRISPR-Cas9. Yeast 2023; 40:32-41. [PMID: 36536407 PMCID: PMC10107897 DOI: 10.1002/yea.3833] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 11/15/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
Endonuclease system CRISPR-Cas9 represents a powerful toolbox for the budding yeast's Saccharomyces cerevisiae genome perturbation. The resulting double-strand breaks are preferentially repaired via highly efficient homologous recombination, which subsequently leads to marker-free genome editing. The goal of this study was to evaluate precise targeting of multiple loci simultaneously. To construct an array of independently expressing guide RNAs (gRNAs), the genes encoding them were assembled through a BioBrick construction procedure. We designed a multiplex CRISPR-Cas9 system for targeting 6 marker genes, whereby the gRNA array was expressed from a single plasmid. To evaluate the performance of the gRNA array, the activity of the designed system was assessed by the success rate of the introduction of perturbations within the target loci: successful gRNA expression, followed by target DNA double-strand breaks formation and their repair by homologous recombination led to premature termination of the coding sequence of the marker genes, resulting in the prevention of growth of the transformants on the corresponding selection media. In conclusion, we successfully introduced up to five simultaneous perturbations within single cells of yeast S. cerevisiae using the multiplex CRISPR-Cas9 system. While this has been done before, we here present an alternative sequential BioBrick assembly with the capability to accommodate many highly similar gRNA-expression cassettes, and an exhaustive evaluation of their performance.
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Affiliation(s)
- Gašper Žun
- Department of Molecular and Biomedical SciencesJožef Stefan InstituteLjubljanaSlovenia
- Department of Biology, Biotechnical FacultyUniversity of LjubljanaLjubljanaSlovenia
| | - Katja Doberšek
- Department of Molecular and Biomedical SciencesJožef Stefan InstituteLjubljanaSlovenia
- Department of Chemistry and Biochemistry, Faculty of Chemistry and Chemical TechnologyUniversity of LjubljanaLjubljanaSlovenia
| | - Uroš Petrovič
- Department of Molecular and Biomedical SciencesJožef Stefan InstituteLjubljanaSlovenia
- Department of Biology, Biotechnical FacultyUniversity of LjubljanaLjubljanaSlovenia
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EST-Microsatellite Types and Structural Scenarios in European Hake Fisheries. Animals (Basel) 2022; 12:ani12111462. [PMID: 35681926 PMCID: PMC9179439 DOI: 10.3390/ani12111462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/01/2022] [Accepted: 06/02/2022] [Indexed: 11/17/2022] Open
Abstract
A fishery’s structure and connectivity are priors to its effective management. A successful description of such processes depends on both the sampling design and the choice of adequate genetic markers. EST markers are perfusing the studies of marine metapopulations and are believed to provide access to functional polymorphisms. However, the assumed adaptive role of outlier EST loci might not be generalizable. EST-microsatellites represent the upper polymorphic boundary in these regions because of their high mutation rate. We have subclassified the polymorphisms of EST-microsatellites to assess their structural contribution in the European hake, a paradigmatic and highly mobile marine species (HMMS). Because of the counterbalanced forces between directional markers (15%) and balanced markers (23%), the whole marker set offers the same structural situation as the one observed with neutral markers (62%), i.e., k = 2 gene pools. In contrast to outlier EST- microsatellites, neutral EST subsets allow one to measure crucial population phenomena for fisheries’ management. The high inter-population divergence of outlier EST-microsatellites is compatible with drifted post-selection genomic regions rather than with ongoing local selective pressures. The structural scenario in hake is explainable by a limited gene flow across the Almería-Oran Front (AOF) and by the within-basin IBD pattern of connectivity plus drift-related demographic events. This study highlights how polymorphic properties of EST-microsatellite types can be useful to address mutually excluding research tasks in fisheries, i.e., to address its evolutionary history (directional markers or FAPS: Fossil Adaptive Polymorphic Systems); to delineate management units (neutral markers or NAPS: Non Adaptive Polymorphic Systems); or to ensure sustainability (balanced markers or APS: Adaptive Polymorphic Systems).
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Ho PW, Piampongsant S, Gallone B, Del Cortona A, Peeters PJ, Reijbroek F, Verbaet J, Herrera B, Cortebeeck J, Nolmans R, Saels V, Steensels J, Jarosz DF, Verstrepen KJ. Massive QTL analysis identifies pleiotropic genetic determinants for stress resistance, aroma formation, and ethanol, glycerol and isobutanol production in Saccharomyces cerevisiae. BIOTECHNOLOGY FOR BIOFUELS 2021; 14:211. [PMID: 34727964 PMCID: PMC8564995 DOI: 10.1186/s13068-021-02059-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 10/16/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND The brewer's yeast Saccharomyces cerevisiae is exploited in several industrial processes, ranging from food and beverage fermentation to the production of biofuels, pharmaceuticals and complex chemicals. The large genetic and phenotypic diversity within this species offers a formidable natural resource to obtain superior strains, hybrids, and variants. However, most industrially relevant traits in S. cerevisiae strains are controlled by multiple genetic loci. Over the past years, several studies have identified some of these QTLs. However, because these studies only focus on a limited set of traits and often use different techniques and starting strains, a global view of industrially relevant QTLs is still missing. RESULTS Here, we combined the power of 1125 fully sequenced inbred segregants with high-throughput phenotyping methods to identify as many as 678 QTLs across 18 different traits relevant to industrial fermentation processes, including production of ethanol, glycerol, isobutanol, acetic acid, sulfur dioxide, flavor-active esters, as well as resistance to ethanol, acetic acid, sulfite and high osmolarity. We identified and confirmed several variants that are associated with multiple different traits, indicating that many QTLs are pleiotropic. Moreover, we show that both rare and common variants, as well as variants located in coding and non-coding regions all contribute to the phenotypic variation. CONCLUSIONS Our findings represent an important step in our understanding of the genetic underpinnings of industrially relevant yeast traits and open new routes to study complex genetics and genetic interactions as well as to engineer novel, superior industrial yeasts. Moreover, the major role of rare variants suggests that there is a plethora of different combinations of mutations that can be explored in genome editing.
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Affiliation(s)
- Ping-Wei Ho
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
| | - Supinya Piampongsant
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
| | - Brigida Gallone
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
| | - Andrea Del Cortona
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
| | - Pieter-Jan Peeters
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
| | - Frank Reijbroek
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
| | - Jules Verbaet
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
| | - Beatriz Herrera
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
| | - Jeroen Cortebeeck
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
| | - Robbe Nolmans
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
| | - Veerle Saels
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
| | - Jan Steensels
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
| | - Daniel F. Jarosz
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305 USA
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305 USA
| | - Kevin J. Verstrepen
- VIB–KU Leuven Center for Microbiology, Leuven, Belgium
- CMPG Laboratory of Genetics and Genomics, Department M2S, KU Leuven, Leuven, Belgium
- Leuven Institute for Beer Research, Leuven, Belgium
- Labo VIB-CMPG, Bio-Incubator, Gaston Geenslaan 1, 3001 Leuven, Heverlee Belgium
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Garcia DM, Campbell EA, Jakobson CM, Tsuchiya M, Shaw EA, DiNardo AL, Kaeberlein M, Jarosz DF. A prion accelerates proliferation at the expense of lifespan. eLife 2021; 10:e60917. [PMID: 34545808 PMCID: PMC8455135 DOI: 10.7554/elife.60917] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 08/12/2021] [Indexed: 12/23/2022] Open
Abstract
In fluctuating environments, switching between different growth strategies, such as those affecting cell size and proliferation, can be advantageous to an organism. Trade-offs arise, however. Mechanisms that aberrantly increase cell size or proliferation-such as mutations or chemicals that interfere with growth regulatory pathways-can also shorten lifespan. Here we report a natural example of how the interplay between growth and lifespan can be epigenetically controlled. We find that a highly conserved RNA-modifying enzyme, the pseudouridine synthase Pus4/TruB, can act as a prion, endowing yeast with greater proliferation rates at the cost of a shortened lifespan. Cells harboring the prion grow larger and exhibit altered protein synthesis. This epigenetic state, [BIG+] (better in growth), allows cells to heritably yet reversibly alter their translational program, leading to the differential synthesis of dozens of proteins, including many that regulate proliferation and aging. Our data reveal a new role for prion-based control of an RNA-modifying enzyme in driving heritable epigenetic states that transform cell growth and survival.
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Affiliation(s)
- David M Garcia
- Department of Chemical & Systems Biology, Stanford University School of Medicine, Stanford, United States
- Institute of Molecular Biology, Department of Biology, University of Oregon, Eugene, United States
| | - Edgar A Campbell
- Department of Chemical & Systems Biology, Stanford University School of Medicine, Stanford, United States
| | - Christopher M Jakobson
- Department of Chemical & Systems Biology, Stanford University School of Medicine, Stanford, United States
| | - Mitsuhiro Tsuchiya
- Department of Pathology, University of Washington, Seattle, United States
| | - Ethan A Shaw
- Institute of Molecular Biology, Department of Biology, University of Oregon, Eugene, United States
| | - Acadia L DiNardo
- Institute of Molecular Biology, Department of Biology, University of Oregon, Eugene, United States
| | - Matt Kaeberlein
- Department of Pathology, University of Washington, Seattle, United States
| | - Daniel F Jarosz
- Department of Chemical & Systems Biology, Stanford University School of Medicine, Stanford, United States
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, United States
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Jakobson CM, Jarosz DF. What Has a Century of Quantitative Genetics Taught Us About Nature's Genetic Tool Kit? Annu Rev Genet 2020; 54:439-464. [PMID: 32897739 DOI: 10.1146/annurev-genet-021920-102037] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The complexity of heredity has been appreciated for decades: Many traits are controlled not by a single genetic locus but instead by polymorphisms throughout the genome. The importance of complex traits in biology and medicine has motivated diverse approaches to understanding their detailed genetic bases. Here, we focus on recent systematic studies, many in budding yeast, which have revealed that large numbers of all kinds of molecular variation, from noncoding to synonymous variants, can make significant contributions to phenotype. Variants can affect different traits in opposing directions, and their contributions can be modified by both the environment and the epigenetic state of the cell. The integration of prospective (synthesizing and analyzing variants) and retrospective (examining standing variation) approaches promises to reveal how natural selection shapes quantitative traits. Only by comprehensively understanding nature's genetic tool kit can we predict how phenotypes arise from the complex ensembles of genetic variants in living organisms.
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Affiliation(s)
- Christopher M Jakobson
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, California 94305, USA;
| | - Daniel F Jarosz
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, California 94305, USA; .,Department of Developmental Biology, Stanford University School of Medicine, Stanford, California 94305, USA
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Divergence of Peroxisome Membrane Gene Sequence and Expression Between Yeast Species. G3-GENES GENOMES GENETICS 2020; 10:2079-2085. [PMID: 32317271 PMCID: PMC7263690 DOI: 10.1534/g3.120.401304] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Large population-genomic sequencing studies can enable highly-powered analyses of sequence signatures of natural selection. Genome repositories now available for Saccharomyces yeast make it a premier model for studies of the molecular mechanisms of adaptation. We mined the genomes of hundreds of isolates of the sister species S. cerevisiae and S. paradoxus to identify sequence hallmarks of adaptive divergence between the two. From the top hits we focused on a set of genes encoding membrane proteins of the peroxisome, an organelle devoted to lipid breakdown and other specialized metabolic pathways. In-depth population- and comparative-genomic sequence analyses of these genes revealed striking divergence between S. cerevisiae and S. paradoxus. And from transcriptional profiles we detected non-neutral, directional cis-regulatory variation at the peroxisome membrane genes, with overall high expression in S. cerevisiae relative to S. paradoxus. Taken together, these data support a model in which yeast species have differentially tuned the expression of peroxisome components to boost their fitness in distinct niches.
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Jakobson CM, Jarosz DF. Molecular Origins of Complex Heritability in Natural Genotype-to-Phenotype Relationships. Cell Syst 2019; 8:363-379.e3. [PMID: 31054809 PMCID: PMC6560647 DOI: 10.1016/j.cels.2019.04.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 03/25/2019] [Accepted: 04/05/2019] [Indexed: 01/09/2023]
Abstract
The statistical complexity of heredity has long been evident, but its molecular origins remain elusive. To investigate, we charted 90 comprehensive genotype-to-phenotype maps in a large population of wild diploid yeast. In contrast to long-standing assumptions, all types of genetic variation contributed similarly to phenotype. Causal synonymous and regulatory variants exhibited distinct molecular signatures, as did nonlinearities in heterozygote fitness that likely contribute to hybrid vigor. Highly pleiotropic variants altered disordered sequences within signaling hubs, and their effects correlated across environments-even when antagonistic-suggesting that large fitness gains bring concomitant costs. Natural genetic networks defined by the causal loci differed from those determined by precise gene deletions or protein-protein interactions. Finally, we found that traits that would appear omnigenic in less powered studies do in fact have finite genetic determinants. Integrating these molecular principles will be crucial as genome reading and writing become routine in research, industry, and medicine.
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Affiliation(s)
- Christopher M Jakobson
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Daniel F Jarosz
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
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