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Furse S, Martel C, Willer DF, Stabler D, Fernandez-Twinn DS, Scott J, Patterson-Cross R, Watkins AJ, Virtue S, Prescott TAK, Baker E, Chennells J, Vidal-Puig A, Ozanne SE, Kite GC, Vítová M, Chiarugi D, Moncur J, Koulman A, Wright GA, Snowden SG, Stevenson PC. Systemic analysis of lipid metabolism from individuals to multi-organism systems. Mol Omics 2024; 20:570-583. [PMID: 39246063 PMCID: PMC11381968 DOI: 10.1039/d4mo00083h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 08/30/2024] [Indexed: 09/10/2024]
Abstract
Lipid metabolism is recognised as being central to growth, disease and health. Lipids, therefore, have an important place in current research on globally significant topics such as food security and biodiversity loss. However, answering questions in these important fields of research requires not only identification and measurement of lipids in a wider variety of sample types than ever before, but also hypothesis-driven analysis of the resulting 'big data'. We present a novel pipeline that can collect data from a wide range of biological sample types, taking 1 000 000 lipid measurements per 384 well plate, and analyse the data systemically. We provide evidence of the power of the tool through proof-of-principle studies using edible fish (mackerel, bream, seabass) and colonies of Bombus terrestris. Bee colonies were found to be more like mini-ecosystems and there was evidence for considerable changes in lipid metabolism in bees through key developmental stages. This is the first report of either high throughput LCMS lipidomics or systemic analysis in individuals, colonies and ecosystems. This novel approach provides new opportunities to analyse metabolic systems at different scales at a level of detail not previously feasible, to answer research questions about societally important topics.
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Affiliation(s)
- Samuel Furse
- Royal Botanic Gardens, Kew, Kew Green, Richmond, Surrey, TW9 3AE, UK.
- Core Metabolomics and Lipidomics Laboratory, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Treatment Centre, Keith Day Road, Cambridge, CB2 0QQ, UK
| | - Carlos Martel
- Royal Botanic Gardens, Kew, Kew Green, Richmond, Surrey, TW9 3AE, UK.
| | - David F Willer
- Department of Zoology, The David Attenborough Centre, University of Cambridge, Corn Exchange St., Cambridge, CB2 3QZ, UK
| | - Daniel Stabler
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK
- School of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, University Road, Southampton, SO17 1BJ, UK
| | - Denise S Fernandez-Twinn
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Keith Day Road, Cambridge, CB2 0QQ, UK
| | - Jennifer Scott
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK
| | - Ryan Patterson-Cross
- Bioinformatics Core, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Treatment Centre, Keith Day Road, Cambridge, CB2 0QQ, UK
| | - Adam J Watkins
- Lifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, NG7 2UH, UK
| | - Samuel Virtue
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Keith Day Road, Cambridge, CB2 0QQ, UK
| | | | - Ellen Baker
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK
| | | | - Antonio Vidal-Puig
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Keith Day Road, Cambridge, CB2 0QQ, UK
| | - Susan E Ozanne
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Keith Day Road, Cambridge, CB2 0QQ, UK
| | - Geoffrey C Kite
- Royal Botanic Gardens, Kew, Kew Green, Richmond, Surrey, TW9 3AE, UK.
| | - Milada Vítová
- Institute of Botany, Czech Academy of Sciences, Department of Phycology, Dukelská 135, 379 01 Třeboň, Czech Republic
| | - Davide Chiarugi
- Bioinformatics Core, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Treatment Centre, Keith Day Road, Cambridge, CB2 0QQ, UK
- Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, 04103 Leipzig, Sachsen, Germany
| | - John Moncur
- SpectralWorks Limited, The Heath Business and Technical Park, Runcorn, Cheshire, WA7 4EB, UK
| | - Albert Koulman
- Core Metabolomics and Lipidomics Laboratory, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Treatment Centre, Keith Day Road, Cambridge, CB2 0QQ, UK
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Keith Day Road, Cambridge, CB2 0QQ, UK
| | | | - Stuart G Snowden
- Department of Biological Sciences, Royal Holloway College, University of London, Egham, Surrey, TW20 0EX, UK
| | - Philip C Stevenson
- Royal Botanic Gardens, Kew, Kew Green, Richmond, Surrey, TW9 3AE, UK.
- Natural Resources Institute, University of Greenwich, Chatham, Kent, ME4 4TB, UK
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Santos MA, Carromeu-Santos A, Quina AS, Antunes MA, Kristensen TN, Santos M, Matos M, Fragata I, Simões P. Experimental Evolution in a Warming World: The Omics Era. Mol Biol Evol 2024; 41:msae148. [PMID: 39034684 PMCID: PMC11331425 DOI: 10.1093/molbev/msae148] [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: 11/29/2023] [Revised: 06/25/2024] [Accepted: 07/12/2024] [Indexed: 07/23/2024] Open
Abstract
A comprehensive understanding of the genetic mechanisms that shape species responses to thermal variation is essential for more accurate predictions of the impacts of climate change on biodiversity. Experimental evolution with high-throughput resequencing approaches (evolve and resequence) is a highly effective tool that has been increasingly employed to elucidate the genetic basis of adaptation. The number of thermal evolve and resequence studies is rising, yet there is a dearth of efforts to integrate this new wealth of knowledge. Here, we review this literature showing how these studies have contributed to increase our understanding on the genetic basis of thermal adaptation. We identify two major trends: highly polygenic basis of thermal adaptation and general lack of consistency in candidate targets of selection between studies. These findings indicate that the adaptive responses to specific environments are rather independent. A review of the literature reveals several gaps in the existing research. Firstly, there is a paucity of studies done with organisms of diverse taxa. Secondly, there is a need to apply more dynamic and ecologically relevant thermal environments. Thirdly, there is a lack of studies that integrate genomic changes with changes in life history and behavioral traits. Addressing these issues would allow a more in-depth understanding of the relationship between genotype and phenotype. We highlight key methodological aspects that can address some of the limitations and omissions identified. These include the need for greater standardization of methodologies and the utilization of new technologies focusing on the integration of genomic and phenotypic variation in the context of thermal adaptation.
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Affiliation(s)
- Marta A Santos
- CE3C—Centre for Ecology, Evolution and Environmental Changes & CHANGE, Global Change and Sustainability Institute, Lisboa, Portugal
- Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Ana Carromeu-Santos
- Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Ana S Quina
- Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Almada, Portugal
| | - Marta A Antunes
- CE3C—Centre for Ecology, Evolution and Environmental Changes & CHANGE, Global Change and Sustainability Institute, Lisboa, Portugal
- Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | | | - Mauro Santos
- CE3C—Centre for Ecology, Evolution and Environmental Changes & CHANGE, Global Change and Sustainability Institute, Lisboa, Portugal
- Departament de Genètica i de Microbiologia, Grup de Genòmica, Bioinformàtica i Biologia Evolutiva (GBBE), Universitat Autonòma de Barcelona, Bellaterra, Spain
| | - Margarida Matos
- CE3C—Centre for Ecology, Evolution and Environmental Changes & CHANGE, Global Change and Sustainability Institute, Lisboa, Portugal
- Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Inês Fragata
- CE3C—Centre for Ecology, Evolution and Environmental Changes & CHANGE, Global Change and Sustainability Institute, Lisboa, Portugal
- Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Pedro Simões
- CE3C—Centre for Ecology, Evolution and Environmental Changes & CHANGE, Global Change and Sustainability Institute, Lisboa, Portugal
- Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
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Miranda VH, Amaral RV, Cogni R. Clinal variation in natural populations of Drosophila melanogaster: An old debate about natural selection and neutral processes. Genet Mol Biol 2024; 47Suppl 1:e20230348. [PMID: 39037374 PMCID: PMC11262002 DOI: 10.1590/1678-4685-gmb-2023-0348] [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: 12/05/2023] [Accepted: 04/23/2024] [Indexed: 07/23/2024] Open
Abstract
Distinguishing between environmental adaptations and neutral processes poses a challenge in population genetics and evolutionary studies, particularly when phenomena can be explained by both processes. Clines are genotypic or phenotypic characters correlated with environmental variables, because of that correlation, they are used as examples of spatially varying selection. At the same time, many genotypic clines can be explained by demographic history, like isolation by distance or secondary contact zones. Clines have been extensively studied in Drosophila melanogaster, especially in North America and Australia, where they are attributed to both differential selection and various demographic processes. This review explores existing literature supporting this conclusion and suggests new approaches to better understand the influence of these processes on clines. These innovative approaches aim to shed light on the longstanding debate regarding the importance of natural selection versus neutral processes in maintaining variation in natural populations.
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Affiliation(s)
- Vitória H. Miranda
- Universidade de São Paulo, Instituto de Biociências,
Departamento de Ecologia, São Paulo, SP, Brazil
| | - Rafael Viana Amaral
- Universidade de São Paulo, Instituto de Biociências,
Departamento de Ecologia, São Paulo, SP, Brazil
| | - Rodrigo Cogni
- Universidade de São Paulo, Instituto de Biociências,
Departamento de Ecologia, São Paulo, SP, Brazil
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