1
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Zhang L, Zhao ZW, Ma LX, Dong YW. Genome-wide sequencing reveals geographical variations in the thermal adaptation of an aquaculture species with frequent seedling introductions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 927:172010. [PMID: 38575020 DOI: 10.1016/j.scitotenv.2024.172010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 03/20/2024] [Accepted: 03/25/2024] [Indexed: 04/06/2024]
Abstract
Climate change and human activity are essential factors affecting marine biodiversity and aquaculture, and understanding the impacts of human activities on the genetic structure to increasing high temperatures is crucial for sustainable aquaculture and marine biodiversity conservation. As a commercially important bivalve, the Manila clam Ruditapes philippinarum is widely distributed along the coast of China, and it has been frequently introduced from Fujian Province, China, to other regions for aquaculture. In this study, we collected four populations of Manila clams from different areas to evaluate their thermal tolerance by measuring cardiac performance and genetic variations using whole-genome resequencing. The upper thermal limits of the clams showed high variations within and among populations. Different populations displayed divergent genetic compositions, and the admixed population was partly derived from the Zhangzhou population in Fujian Province, implying a complex genomic landscape under the influence of local genetic sources and human introductions. Multiple single nucleotide polymorphisms (SNPs) were associated with the cardiac functional traits, and some of these SNPs can affect the codon usage and the structural stability of the resulting protein. This study shed light on the importance of establishing long-term ecological and genetic monitoring programs at the local level to enhance resilience to future climate change.
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Affiliation(s)
- Liang Zhang
- Ministry Key Laboratory of Mariculture, Fisheries College, Ocean University of China, Qingdao, 266001, China
| | - Zhan-Wei Zhao
- Ministry Key Laboratory of Mariculture, Fisheries College, Ocean University of China, Qingdao, 266001, China
| | - Lin-Xuan Ma
- Ministry Key Laboratory of Mariculture, Fisheries College, Ocean University of China, Qingdao, 266001, China
| | - Yun-Wei Dong
- Ministry Key Laboratory of Mariculture, Fisheries College, Ocean University of China, Qingdao, 266001, China.
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2
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Taff CC, Baldan D, Mentesana L, Ouyang JQ, Vitousek MN, Hau M. Endocrine flexibility can facilitate or constrain the ability to cope with global change. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220502. [PMID: 38310929 PMCID: PMC10838644 DOI: 10.1098/rstb.2022.0502] [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: 08/06/2023] [Accepted: 11/21/2023] [Indexed: 02/06/2024] Open
Abstract
Global climate change has increased average environmental temperatures world-wide, simultaneously intensifying temperature variability and extremes. Growing numbers of studies have documented phenological, behavioural and morphological responses to climate change in wild populations. As systemic signals, hormones can contribute to orchestrating many of these phenotypic changes. Yet little is known about whether mechanisms like hormonal flexibility (reversible changes in hormone concentrations) facilitate or limit the ability of individuals, populations and species to cope with a changing climate. In this perspective, we discuss different mechanisms by which hormonal flexibility, primarily in glucocorticoids, could promote versus hinder evolutionary adaptation to changing temperature regimes. We focus on temperature because it is a key gradient influenced by climate change, it is easy to quantify, and its links to hormones are well established. We argue that reaction norm studies that connect individual responses to population-level and species-wide patterns will be critical for making progress in this field. We also develop a case study on urban heat islands, where several key questions regarding hormonal flexibility and adaptation to climate change can be addressed. Understanding the mechanisms that allow animals to cope when conditions become more challenging will help in predicting which populations are vulnerable to ongoing climate change. This article is part of the theme issue 'Endocrine responses to environmental variation: conceptual approaches and recent developments'.
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Affiliation(s)
- Conor C. Taff
- Laboratory Ornithology and Department of Ecology & Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
- Department of Biology, Colby College, Waterville, ME 04901, USA
| | - Davide Baldan
- Department of Biology, University of Nevada, Reno, NV 89557, USA
| | - Lucia Mentesana
- Evolutionary Physiology, Max Planck Institute for Biological Intelligence, 82319 Seewiesen, Germany
- Faculty of Sciences, Republic University, Montevideo, 11200, Uruguay
| | - Jenny Q. Ouyang
- Department of Biology, University of Nevada, Reno, NV 89557, USA
| | - Maren N. Vitousek
- Laboratory Ornithology and Department of Ecology & Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
| | - Michaela Hau
- Evolutionary Physiology, Max Planck Institute for Biological Intelligence, 82319 Seewiesen, Germany
- Department of Biology, University of Konstanz, Konstanz, 78467, Germany
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3
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Moiron M, Teplitsky C, Haest B, Charmantier A, Bouwhuis S. Micro-evolutionary response of spring migration timing in a wild seabird. Evol Lett 2024; 8:8-17. [PMID: 38370547 PMCID: PMC10872114 DOI: 10.1093/evlett/qrad014] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 02/06/2023] [Accepted: 04/17/2023] [Indexed: 02/20/2024] Open
Abstract
In the context of rapid climate change, phenological advance is a key adaptation for which evidence is accumulating across taxa. Among vertebrates, phenotypic plasticity is known to underlie most of this phenological change, while evidence for micro-evolution is very limited and challenging to obtain. In this study, we quantified phenotypic and genetic trends in timing of spring migration using 8,032 dates of arrival at the breeding grounds obtained from observations on 1,715 individual common terns (Sterna hirundo) monitored across 27 years, and tested whether these trends were consistent with predictions of a micro-evolutionary response to selection. We observed a strong phenotypic advance of 9.3 days in arrival date, of which c. 5% was accounted for by an advance in breeding values. The Breeder's equation and Robertson's Secondary Theorem of Selection predicted qualitatively similar evolutionary responses to selection, and these theoretical predictions were largely consistent with our estimated genetic pattern. Overall, our study provides rare evidence for micro-evolution underlying (part of) an adaptive response to climate change in the wild, and illustrates how a combination of adaptive micro-evolution and phenotypic plasticity facilitated a shift towards earlier spring migration in this free-living population of common terns.
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Affiliation(s)
- Maria Moiron
- Life-history Biology Department, Institute of Avian Research, Wilhelmshaven, Germany
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | | | - Birgen Haest
- Department of Bird Migration, Swiss Ornithological Institute, Sempach, Switzerland
| | | | - Sandra Bouwhuis
- Life-history Biology Department, Institute of Avian Research, Wilhelmshaven, Germany
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6
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Vriend SJG, Grøtan V, Gamelon M, Adriaensen F, Ahola MP, Álvarez E, Bailey LD, Barba E, Bouvier JC, Burgess MD, Bushuev A, Camacho C, Canal D, Charmantier A, Cole EF, Cusimano C, Doligez BF, Drobniak SM, Dubiec A, Eens M, Eeva T, Erikstad KE, Ferns PN, Goodenough AE, Hartley IR, Hinsley SA, Ivankina E, Juškaitis R, Kempenaers B, Kerimov AB, Kålås JA, Lavigne C, Leivits A, Mainwaring MC, Martínez-Padilla J, Matthysen E, van Oers K, Orell M, Pinxten R, Reiertsen TK, Rytkönen S, Senar JC, Sheldon BC, Sorace A, Török J, Vatka E, Visser ME, Saether BE. Temperature synchronizes temporal variation in laying dates across European hole-nesting passerines. Ecology 2023; 104:e3908. [PMID: 36314902 PMCID: PMC10078612 DOI: 10.1002/ecy.3908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 09/02/2022] [Accepted: 09/20/2022] [Indexed: 02/03/2023]
Abstract
Identifying the environmental drivers of variation in fitness-related traits is a central objective in ecology and evolutionary biology. Temporal fluctuations of these environmental drivers are often synchronized at large spatial scales. Yet, whether synchronous environmental conditions can generate spatial synchrony in fitness-related trait values (i.e., correlated temporal trait fluctuations across populations) is poorly understood. Using data from long-term monitored populations of blue tits (Cyanistes caeruleus, n = 31), great tits (Parus major, n = 35), and pied flycatchers (Ficedula hypoleuca, n = 20) across Europe, we assessed the influence of two local climatic variables (mean temperature and mean precipitation in February-May) on spatial synchrony in three fitness-related traits: laying date, clutch size, and fledgling number. We found a high degree of spatial synchrony in laying date but a lower degree in clutch size and fledgling number for each species. Temperature strongly influenced spatial synchrony in laying date for resident blue tits and great tits but not for migratory pied flycatchers. This is a relevant finding in the context of environmental impacts on populations because spatial synchrony in fitness-related trait values among populations may influence fluctuations in vital rates or population abundances. If environmentally induced spatial synchrony in fitness-related traits increases the spatial synchrony in vital rates or population abundances, this will ultimately increase the risk of extinction for populations and species. Assessing how environmental conditions influence spatiotemporal variation in trait values improves our mechanistic understanding of environmental impacts on populations.
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Affiliation(s)
- Stefan J G Vriend
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
| | - Vidar Grøtan
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Marlène Gamelon
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.,Laboratoire de Biométrie et Biologie Evolutive UMR 5558, CNRS, Université Claude Bernard Lyon 1, Villeurbanne, France
| | - Frank Adriaensen
- Evolutionary Ecology Group, Department of Biology, University of Antwerp, Antwerp, Belgium
| | - Markus P Ahola
- Environmental Research and Monitoring, Swedish Museum of Natural History, Stockholm, Sweden
| | - Elena Álvarez
- Ecology of Terrestrial Vertebrates, 'Cavanilles' Institute of Biodiversity and Evolutionary Biology, University of Valencia, Valencia, Spain
| | - Liam D Bailey
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands.,Department of Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research (IZW) in the Forschungsverbund Berlin e.V, Berlin, Germany
| | - Emilio Barba
- Ecology of Terrestrial Vertebrates, 'Cavanilles' Institute of Biodiversity and Evolutionary Biology, University of Valencia, Valencia, Spain
| | | | - Malcolm D Burgess
- RSPB Centre for Conservation Science, Sandy, UK.,Centre for Research in Animal Behaviour, University of Exeter, Exeter, UK
| | - Andrey Bushuev
- Department of Vertebrate Zoology, Moscow State University, Moscow, Russia
| | - Carlos Camacho
- Department of Biological Conservation and Ecosystem Restoration, Pyrenean Institute of Ecology (IPE-CSIC), Jaca, Spain
| | - David Canal
- Institute of Ecology and Botany, Centre for Ecological Research, Vácrátót, Hungary
| | | | - Ella F Cole
- Department of Zoology, Edward Grey Institute, University of Oxford, Oxford, UK
| | | | - Blandine F Doligez
- Laboratoire de Biométrie et Biologie Evolutive UMR 5558, CNRS, Université Claude Bernard Lyon 1, Villeurbanne, France.,Department of Ecology and Genetics/Animal Ecology, Uppsala University, Uppsala, Sweden
| | - Szymon M Drobniak
- Institute of Environmental Sciences, Jagiellonian University, Krakow, Poland.,Evolution & Ecology Research Centre, School of Biological, Environmental and Earth Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Anna Dubiec
- Museum and Institute of Zoology, Polish Academy of Sciences, Warsaw, Poland
| | - Marcel Eens
- Behavioural Ecology & Ecophysiology Group, Department of Biology, University of Antwerp, Wilrijk, Belgium
| | - Tapio Eeva
- Department of Biology, University of Turku, Turku, Finland.,Kevo Subarctic Research Institute, University of Turku, Turku, Finland
| | - Kjell Einar Erikstad
- Norwegian Institute for Nature Research (NINA), FRAM High North Research Centre for Climate and the Environment, Tromsø, Norway
| | - Peter N Ferns
- Cardiff School of Biosciences, Cardiff University, Cardiff, UK
| | - Anne E Goodenough
- School of Natural and Social Sciences, University of Gloucestershire, Cheltenham, UK
| | - Ian R Hartley
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | | | - Elena Ivankina
- Zvenigorod Biological Station, Moscow State University, Moscow, Russia
| | | | - Bart Kempenaers
- Department of Behavioural Ecology and Evolutionary Genetics, Max Planck Institute for Ornithology, Seewiesen, Germany
| | - Anvar B Kerimov
- Department of Vertebrate Zoology, Moscow State University, Moscow, Russia
| | - John Atle Kålås
- Department of Terrestrial Ecology, Norwegian Institute for Nature Research (NINA), Trondheim, Norway
| | - Claire Lavigne
- INRAE, Plantes et Systèmes de culture Horticoles, Avignon, France
| | - Agu Leivits
- Department of Nature Conservation, Environmental Board, Saarde, Estonia
| | | | - Jesús Martínez-Padilla
- Department of Biological Conservation and Ecosystem Restoration, Pyrenean Institute of Ecology (IPE-CSIC), Jaca, Spain
| | - Erik Matthysen
- Evolutionary Ecology Group, Department of Biology, University of Antwerp, Antwerp, Belgium
| | - Kees van Oers
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
| | - Markku Orell
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Rianne Pinxten
- Research Group Didactica, Antwerp School of Education, University of Antwerp, Antwerp, Belgium
| | - Tone Kristin Reiertsen
- Norwegian Institute for Nature Research (NINA), FRAM High North Research Centre for Climate and the Environment, Tromsø, Norway
| | - Seppo Rytkönen
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Juan Carlos Senar
- Evolutionary and Behavioural Ecology Research Unit, Museu de Ciències Naturals de Barcelona, Barcelona, Spain
| | - Ben C Sheldon
- Department of Zoology, Edward Grey Institute, University of Oxford, Oxford, UK
| | - Alberto Sorace
- Institute for Environmental Protection and Research, Rome, Italy
| | - János Török
- Behavioural Ecology Group, Department of Systematic Zoology and Ecology, Eötvös Loránd University (ELTE), Budapest, Hungary
| | - Emma Vatka
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland.,Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
| | - Marcel E Visser
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
| | - Bernt-Erik Saether
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
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8
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Nater CR, Burgess MD, Coffey P, Harris B, Lander F, Price D, Reed M, Robinson RA. Spatial consistency in drivers of population dynamics of a declining migratory bird. J Anim Ecol 2023; 92:97-111. [PMID: 36321197 PMCID: PMC10099983 DOI: 10.1111/1365-2656.13834] [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: 04/26/2022] [Accepted: 10/13/2022] [Indexed: 11/17/2022]
Abstract
Many migratory species are in decline across their geographical ranges. Single-population studies can provide important insights into drivers at a local scale, but effective conservation requires multi-population perspectives. This is challenging because relevant data are often hard to consolidate, and state-of-the-art analytical tools are typically tailored to specific datasets. We capitalized on a recent data harmonization initiative (SPI-Birds) and linked it to a generalized modelling framework to identify the demographic and environmental drivers of large-scale population decline in migratory pied flycatchers (Ficedula hypoleuca) breeding across Britain. We implemented a generalized integrated population model (IPM) to estimate age-specific vital rates, including their dependency on environmental conditions, and total and breeding population size of pied flycatchers using long-term (34-64 years) monitoring data from seven locations representative of the British breeding range. We then quantified the relative contributions of different vital rates and population structure to changes in short- and long-term population growth rate using transient life table response experiments (LTREs). Substantial covariation in population sizes across breeding locations suggested that change was the result of large-scale drivers. This was supported by LTRE analyses, which attributed past changes in short-term population growth rates and long-term population trends primarily to variation in annual survival and dispersal dynamics, which largely act during migration and/or nonbreeding season. Contributions of variation in local reproductive parameters were small in comparison, despite sensitivity to local temperature and rainfall within the breeding period. We show that both short- and long-term population changes of British breeding pied flycatchers are likely linked to factors acting during migration and in nonbreeding areas, where future research should be prioritized. We illustrate the potential of multi-population analyses for informing management at (inter)national scales and highlight the importance of data standardization, generalized and accessible analytical tools, and reproducible workflows to achieve them.
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Affiliation(s)
- Chloé R Nater
- Norwegian Institute for Nature Research (NINA), Trondheim, Norway.,Centre for Biodiversity Dynamics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Malcolm D Burgess
- RSPB Centre for Conservation Science, Sandy, UK.,PiedFly.Net, Yarner Wood, Devon, UK.,Centre for Research in Animal Behaviour, University of Exeter, Exeter, UK
| | | | - Bob Harris
- Merseyside Ringing Group, Merseyside, UK
| | - Frank Lander
- PiedFly.Net, Yarner Wood, Devon, UK.,Forest of Dean, Gloucestershire, UK
| | | | - Mike Reed
- 143 Daniells Welwyn Garden City, Hertfordshire, UK
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