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Bastide H, Saenko SV, Chouteau M, Joron M, Llaurens V. Dominance mechanisms in supergene alleles controlling butterfly wing pattern variation: insights from gene expression in Heliconius numata. Heredity (Edinb) 2023; 130:92-98. [PMID: 36522413 PMCID: PMC9905084 DOI: 10.1038/s41437-022-00583-5] [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: 09/01/2022] [Revised: 11/28/2022] [Accepted: 11/29/2022] [Indexed: 12/23/2022] Open
Abstract
Loci under balancing selection, where multiple alleles are maintained, offer a relevant opportunity to investigate the role of natural selection in shaping genetic dominance: the high frequency of heterozygotes at these loci has been shown to enable the evolution of dominance among alleles. In the butterfly Heliconius numata, mimetic wing color variations are controlled by an inversion polymorphism of a circa 2 Mb genomic region (supergene P), with strong dominance between sympatric alleles. To test how differences in dominance observed on wing patterns correlate with variations in expression levels throughout the supergene region, we sequenced the complete transcriptome of heterozygotes at the prepupal stage and compared it to corresponding homozygotes. By defining dominance based on non-overlapping ranges of transcript expression between genotypes, we found contrasting patterns of dominance between the supergene and the rest of the genome; the patterns of transcript expression in the heterozygotes were more similar to the expression observed in the dominant homozygotes in the supergene region. Dominance also differed among the three subinversions of the supergene, suggesting possible epistatic interactions among their gene contents underlying dominance evolution. We found the expression pattern of the melanization gene cortex located in the P-region to predict wing pattern phenotype in the heterozygote. We also identify new candidate genes that are potentially involved in mimetic color pattern variations highlighting the relevance of transcriptomic analyses in heterozygotes to pinpoint candidate genes in non-recombining regions.
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Affiliation(s)
- Héloïse Bastide
- Institut de Systématique, Evolution et Biodiversité (UMR 7205 CNRS, MNHN, Sorbonne Université, Université des Antilles) Muséum National d'Histoire Naturelle - CP50, 57 rue Cuvier, 75005, Paris, France.
- Laboratoire Évolution, Génomes, Comportement et Écologie, CNRS, IRD, Université Paris-Saclay - Institut Diversité, Écologie et Évolution (IDEEV), 12 route 128, 91190, Gif-sur-Yvette, France.
| | - Suzanne V Saenko
- Institut de Systématique, Evolution et Biodiversité (UMR 7205 CNRS, MNHN, Sorbonne Université, Université des Antilles) Muséum National d'Histoire Naturelle - CP50, 57 rue Cuvier, 75005, Paris, France
| | - Mathieu Chouteau
- CEFE, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France
- Laboratoire Ecologie, Evolution, Interactions Des Systèmes Amazoniens (LEEISA), USR 3456, Université De Guyane, CNRS Guyane, 275 route de Montabo, 97334, Cayenne, French Guiana
| | - Mathieu Joron
- CEFE, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Violaine Llaurens
- Institut de Systématique, Evolution et Biodiversité (UMR 7205 CNRS, MNHN, Sorbonne Université, Université des Antilles) Muséum National d'Histoire Naturelle - CP50, 57 rue Cuvier, 75005, Paris, France
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Billiard S, Castric V, Llaurens V. The integrative biology of genetic dominance. Biol Rev Camb Philos Soc 2021; 96:2925-2942. [PMID: 34382317 PMCID: PMC9292577 DOI: 10.1111/brv.12786] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 07/29/2021] [Accepted: 07/30/2021] [Indexed: 11/29/2022]
Abstract
Dominance is a basic property of inheritance systems describing the link between a diploid genotype at a single locus and the resulting phenotype. Models for the evolution of dominance have long been framed as an opposition between the irreconcilable views of Fisher in 1928 supporting the role of largely elusive dominance modifiers and Wright in 1929, who viewed dominance as an emerging property of the structure of enzymatic pathways. Recent theoretical and empirical advances however suggest that these opposing views can be reconciled, notably using models investigating the regulation of gene expression and developmental processes. In this more comprehensive framework, phenotypic dominance emerges from departures from linearity between any levels of integration in the genotype‐to‐phenotype map. Here, we review how these different models illuminate the emergence and evolution of dominance. We then detail recent empirical studies shedding new light on the diversity of molecular and physiological mechanisms underlying dominance and its evolution. By reconciling population genetics and functional biology, we hope our review will facilitate cross‐talk among research fields in the integrative study of dominance evolution.
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Affiliation(s)
- Sylvain Billiard
- Univ. Lille, CNRS, UMR 8198 - Evo-Eco-Paleo, F-59000, Lille, France
| | - Vincent Castric
- Univ. Lille, CNRS, UMR 8198 - Evo-Eco-Paleo, F-59000, Lille, France
| | - Violaine Llaurens
- Institut de Systématique, Evolution et Biodiversité, CNRS/MNHN/Sorbonne Université/EPHE, Museum National d'Histoire Naturelle, CP50, 57 rue Cuvier, 75005, Paris, France
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Rout UK, Sanket AS, Sisodia BS, Mohapatra PK, Pati S, Kant R, Dwivedi GR. A Comparative Review on Current and Future Drug Targets Against Bacteria & Malaria. Curr Drug Targets 2021; 21:736-775. [PMID: 31995004 DOI: 10.2174/1389450121666200129103618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 12/13/2019] [Accepted: 12/20/2019] [Indexed: 11/22/2022]
Abstract
Long before the discovery of drugs like 'antibiotic and anti-parasitic drugs', the infectious diseases caused by pathogenic bacteria and parasites remain as one of the major causes of morbidity and mortality in developing and underdeveloped countries. The phenomenon by which the organism exerts resistance against two or more structurally unrelated drugs is called multidrug resistance (MDR) and its emergence has further complicated the treatment scenario of infectious diseases. Resistance towards the available set of treatment options and poor pipeline of novel drug development puts an alarming situation. A universal goal in the post-genomic era is to identify novel targets/drugs for various life-threatening diseases caused by such pathogens. This review is conceptualized in the backdrop of drug resistance in two major pathogens i.e. "Pseudomonas aeruginosa" and "Plasmodium falciparum". In this review, the available targets and key mechanisms of resistance of these pathogens have been discussed in detail. An attempt has also been made to analyze the common drug targets of bacteria and malaria parasite to overcome the current drug resistance scenario. The solution is also hypothesized in terms of a present pipeline of drugs and efforts made by scientific community.
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Affiliation(s)
- Usha K Rout
- Microbiology Department, ICMR-Regional Medical Research Centre, Bhubaneswar-751023, India
| | | | - Brijesh S Sisodia
- Regional Ayurveda Research Institute for Drug Development, Gwalior-474 009, India
| | | | - Sanghamitra Pati
- Microbiology Department, ICMR-Regional Medical Research Centre, Bhubaneswar-751023, India
| | - Rajni Kant
- ICMR-Regional Medical Research Centre, Gorakhpur, Uttar Pradesh- 273013, India
| | - Gaurav R Dwivedi
- ICMR-Regional Medical Research Centre, Gorakhpur, Uttar Pradesh- 273013, India
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Berdan EL, Blanckaert A, Slotte T, Suh A, Westram AM, Fragata I. Unboxing mutations: Connecting mutation types with evolutionary consequences. Mol Ecol 2021; 30:2710-2723. [PMID: 33955064 DOI: 10.1111/mec.15936] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 03/30/2021] [Accepted: 04/20/2021] [Indexed: 01/09/2023]
Abstract
A key step in understanding the genetic basis of different evolutionary outcomes (e.g., adaptation) is to determine the roles played by different mutation types (e.g., SNPs, translocations and inversions). To do this we must simultaneously consider different mutation types in an evolutionary framework. Here, we propose a research framework that directly utilizes the most important characteristics of mutations, their population genetic effects, to determine their relative evolutionary significance in a given scenario. We review known population genetic effects of different mutation types and show how these may be connected to different evolutionary outcomes. We provide examples of how to implement this framework and pinpoint areas where more data, theory and synthesis are needed. Linking experimental and theoretical approaches to examine different mutation types simultaneously is a critical step towards understanding their evolutionary significance.
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Affiliation(s)
- Emma L Berdan
- Department of Ecology, Environment and Plant Sciences, Science for Life Laboratory, Stockholm University, Stockholm, Sweden
| | | | - Tanja Slotte
- Department of Ecology, Environment and Plant Sciences, Science for Life Laboratory, Stockholm University, Stockholm, Sweden
| | - Alexander Suh
- School of Biological Sciences - Organisms and the Environment, University of East Anglia, Norwich, UK.,Department of Organismal Biology - Systematic Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Anja M Westram
- IST Austria, Klosterneuburg, Austria.,Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
| | - Inês Fragata
- cE3c - Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
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