151
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Rand DM, Mossman JA, Zhu L, Biancani LM, Ge JY. Mitonuclear epistasis, genotype-by-environment interactions, and personalized genomics of complex traits in Drosophila. IUBMB Life 2018; 70:1275-1288. [PMID: 30394643 PMCID: PMC6268205 DOI: 10.1002/iub.1954] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 09/04/2018] [Accepted: 09/05/2018] [Indexed: 12/26/2022]
Abstract
Mitochondrial function requires the coordinated expression of dozens of gene products from the mitochondrial genome and hundreds from the nuclear genomes. The systems that emerge from these interactions convert the food we eat and the oxygen we breathe into energy for life, while regulating a wide range of other cellular processes. These facts beg the question of whether the gene-by-gene interactions (G x G) that enable mitochondrial function are distinct from the gene-by-environment interactions (G x E) that fuel mitochondrial activity. We examine this question using a Drosophila model of mitonuclear interactions in which experimental combinations of mtDNA and nuclear chromosomes generate pairs of mitonuclear genotypes to test for epistatic interactions (G x G). These mitonuclear genotypes are then exposed to altered dietary or oxygen environments to test for G x E interactions. We use development time to assess dietary effects, and genome wide RNAseq analyses to assess hypoxic effects on transcription, which can be partitioned in to mito, nuclear, and environmental (G x G x E) contributions to these complex traits. We find that mitonuclear epistasis is universal, and that dietary and hypoxic treatments alter the epistatic interactions. We further show that the transcriptional response to alternative mitonuclear interactions has significant overlap with the transcriptional response to alternative oxygen environments. Gene coexpression analyses suggest that these shared genes are more central in networks of gene interactions, implying some functional overlap between epistasis and genotype by environment interactions. These results are discussed in the context of evolutionary fitness, the genetic basis of complex traits, and the challenge of achieving precision in personalized medicine. © 2018 The Authors. IUBMB Life published by Wiley Periodicals, Inc. on behalf of International Union of Biochemistry and Molecular Biology, 70(12):1275-1288, 2018.
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Affiliation(s)
- David M Rand
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA
| | - Jim A Mossman
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA
| | - Lei Zhu
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA
| | - Leann M Biancani
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA.,Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA
| | - Jennifer Y Ge
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.,Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA, USA
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152
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Albert E, Duboscq R, Latreille M, Santoni S, Beukers M, Bouchet JP, Bitton F, Gricourt J, Poncet C, Gautier V, Jiménez-Gómez JM, Rigaill G, Causse M. Allele-specific expression and genetic determinants of transcriptomic variations in response to mild water deficit in tomato. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2018; 96:635-650. [PMID: 30079488 DOI: 10.1111/tpj.14057] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 07/31/2018] [Accepted: 08/02/2018] [Indexed: 06/08/2023]
Abstract
Characterizing the natural diversity of gene expression across environments is an important step in understanding how genotype-by-environment interactions shape phenotypes. Here, we analyzed the impact of water deficit onto gene expression levels in tomato at the genome-wide scale. We sequenced the transcriptome of growing leaves and fruit pericarps at cell expansion stage in a cherry and a large fruited accession and their F1 hybrid grown under two watering regimes. Gene expression levels were steadily affected by the genotype and the watering regime. Whereas phenotypes showed mostly additive inheritance, ~80% of the genes displayed non-additive inheritance. By comparing allele-specific expression (ASE) in the F1 hybrid to the allelic expression in both parental lines, respectively, 3005 genes in leaf and 2857 genes in fruit deviated from 1:1 ratio independently of the watering regime. Among these genes, ~55% were controlled by cis factors, ~25% by trans factors and ~20% by a combination of both types of factors. A total of 328 genes in leaf and 113 in fruit exhibited significant ASE-by-watering regime interaction, among which ~80% presented trans-by-watering regime interaction, suggesting a response to water deficit mediated through a majority of trans-acting loci in tomato. We cross-validated the expression levels of 274 transcripts in fruit and leaves of 124 recombinant inbred lines (RILs) and identified 163 expression quantitative trait loci (eQTLs) mostly confirming the divergences identified by ASE. Combining phenotypic and expression data, we observed a complex network of variation between genes encoding enzymes involved in the sugar metabolism.
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Affiliation(s)
- Elise Albert
- INRA, UR1052, Centre de Recherche PACA, Génétique et Amélioration des Fruits et Légumes, 67 Allée des Chênes, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
| | - Renaud Duboscq
- INRA, UR1052, Centre de Recherche PACA, Génétique et Amélioration des Fruits et Légumes, 67 Allée des Chênes, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
| | - Muriel Latreille
- INRA, UMR1334, Amélioration génétique et Adaptation des Plantes, Montpellier SupAgro-INRA-IRD-UMII, 2 Place Pierre Viala, Montpellier, 34060, France
| | - Sylvain Santoni
- INRA, UMR1334, Amélioration génétique et Adaptation des Plantes, Montpellier SupAgro-INRA-IRD-UMII, 2 Place Pierre Viala, Montpellier, 34060, France
| | - Matthieu Beukers
- INRA, UR1052, Centre de Recherche PACA, Génétique et Amélioration des Fruits et Légumes, 67 Allée des Chênes, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
| | - Jean-Paul Bouchet
- INRA, UR1052, Centre de Recherche PACA, Génétique et Amélioration des Fruits et Légumes, 67 Allée des Chênes, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
| | - Fréderique Bitton
- INRA, UR1052, Centre de Recherche PACA, Génétique et Amélioration des Fruits et Légumes, 67 Allée des Chênes, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
| | - Justine Gricourt
- INRA, UR1052, Centre de Recherche PACA, Génétique et Amélioration des Fruits et Légumes, 67 Allée des Chênes, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
| | - Charles Poncet
- INRA, UMR1095, Génétique Diversité et Ecophysiologie des Céréales, 5 Chemin de Beaulieu, Clermont-Ferrand, 63039, France
| | - Véronique Gautier
- INRA, UMR1095, Génétique Diversité et Ecophysiologie des Céréales, 5 Chemin de Beaulieu, Clermont-Ferrand, 63039, France
| | - José M Jiménez-Gómez
- INRA, UMR1318, Institut Jean-Pierre Bourgin, AgroParisTech-INRA-CNRS, Route de Saint Cyr, Versailles, 78026, France
| | - Guillem Rigaill
- INRA, UMR8071, Laboratoire de Mathématiques et Modélisation d'Evry, Université d'Evry Val d'Essonne, ENSIIE-INRA-CNRS, Évry, 91037, France
| | - Mathilde Causse
- INRA, UR1052, Centre de Recherche PACA, Génétique et Amélioration des Fruits et Légumes, 67 Allée des Chênes, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
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153
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de Meaux J. Cis-regulatory variation in plant genomes and the impact of natural selection. AMERICAN JOURNAL OF BOTANY 2018; 105:1788-1791. [PMID: 30358892 PMCID: PMC7610988 DOI: 10.1002/ajb2.1180] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 08/09/2018] [Indexed: 05/04/2023]
Abstract
Understanding the molecular mechanisms that allow phenotypic diversification in response to natural or artificial selection is one of the major challenges of modern biology (Barrett and Hoekstra, 2011). The evolution of gene regulation is a prominent pillar for adaptation in sessile organisms like plants because the activity of genes must be tuned to the environment. Today, we can accurately document the genome-wide distribution of cis-regulatory variants. Here, I summarize how current data show that both positive selection and purifying selection contribute to shape cis-regulatory variation. To disentangle their relative impact, I argue that cis-regulatory and amino-acid evolutionary rates should be analyzed jointly.
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Affiliation(s)
- Juliette de Meaux
- Institute of Botany, University of Cologne, Zülpicherstr 47b, 50674 Cologne, Germany
- Author for correspondence ()
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154
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Fraser HB. Improving Estimates of Compensatory cis-trans Regulatory Divergence. Trends Genet 2018; 35:3-5. [PMID: 30270122 DOI: 10.1016/j.tig.2018.09.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 08/31/2018] [Accepted: 09/07/2018] [Indexed: 11/30/2022]
Abstract
Interspecific hybrids have played a key role in research on gene expression regulation. A growing number of studies have measured genome-wide allele-specific expression in hybrids and observed that cis-regulatory changes often oppose trans-acting changes affecting the same genes, suggesting stabilizing selection for compensatory changes. However, the most common method for estimating these effects is biased, producing artifactual patterns of compensatory evolution. Here I introduce a simple modification leveraging biological replicates that ameliorates the bias.
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Affiliation(s)
- Hunter B Fraser
- Department of Biology, Stanford University, Stanford, CA, USA; Lab website: https://web.stanford.edu/group/fraserlab/.
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155
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Vickrey AI, Bruders R, Kronenberg Z, Mackey E, Bohlender RJ, Maclary ET, Maynez R, Osborne EJ, Johnson KP, Huff CD, Yandell M, Shapiro MD. Introgression of regulatory alleles and a missense coding mutation drive plumage pattern diversity in the rock pigeon. eLife 2018; 7:e34803. [PMID: 30014848 PMCID: PMC6050045 DOI: 10.7554/elife.34803] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 06/05/2018] [Indexed: 12/17/2022] Open
Abstract
Birds and other vertebrates display stunning variation in pigmentation patterning, yet the genes controlling this diversity remain largely unknown. Rock pigeons (Columba livia) are fundamentally one of four color pattern phenotypes, in decreasing order of melanism: T-check, checker, bar (ancestral), or barless. Using whole-genome scans, we identified NDP as a candidate gene for this variation. Allele-specific expression differences in NDP indicate cis-regulatory divergence between ancestral and melanistic alleles. Sequence comparisons suggest that derived alleles originated in the speckled pigeon (Columba guinea), providing a striking example of introgression. In contrast, barless rock pigeons have an increased incidence of vision defects and, like human families with hereditary blindness, carry start-codon mutations in NDP. In summary, we find that both coding and regulatory variation in the same gene drives wing pattern diversity, and post-domestication introgression supplied potentially advantageous melanistic alleles to feral populations of this ubiquitous urban bird.
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Affiliation(s)
- Anna I Vickrey
- School of Biological SciencesUniversity of UtahSalt Lake CityUnited States
| | - Rebecca Bruders
- School of Biological SciencesUniversity of UtahSalt Lake CityUnited States
| | - Zev Kronenberg
- Department of Human GeneticsUniversity of UtahSalt Lake CityUnited States
| | - Emma Mackey
- School of Biological SciencesUniversity of UtahSalt Lake CityUnited States
| | - Ryan J Bohlender
- Department of Epidemiology, MD Anderson Cancer CenterUniversity of TexasHoustonUnited States
| | - Emily T Maclary
- School of Biological SciencesUniversity of UtahSalt Lake CityUnited States
| | - Raquel Maynez
- School of Biological SciencesUniversity of UtahSalt Lake CityUnited States
| | - Edward J Osborne
- Department of Human GeneticsUniversity of UtahSalt Lake CityUnited States
| | - Kevin P Johnson
- Illinois Natural History Survey, Prairie Research InstituteUniversity of Illinois Urbana-ChampaignChampaignUnited States
| | - Chad D Huff
- Department of Epidemiology, MD Anderson Cancer CenterUniversity of TexasHoustonUnited States
| | - Mark Yandell
- Department of Human GeneticsUniversity of UtahSalt Lake CityUnited States
| | - Michael D Shapiro
- School of Biological SciencesUniversity of UtahSalt Lake CityUnited States
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