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Carvalho APS, Owens HL, St Laurent RA, Earl C, Dexter KM, Messcher RL, Willmott KR, Aduse-Poku K, Collins SC, Homziak NT, Hoshizaki S, Hsu YF, Kizhakke AG, Kunte K, Martins DJ, Mega NO, Morinaka S, Peggie D, Romanowski HP, Sáfián S, Vila R, Wang H, Braby MF, Espeland M, Breinholt JW, Pierce NE, Kawahara AY, Lohman DJ. Comprehensive phylogeny of Pieridae butterflies reveals strong correlation between diversification and temperature. iScience 2024; 27:109336. [PMID: 38500827 PMCID: PMC10945170 DOI: 10.1016/j.isci.2024.109336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/28/2023] [Accepted: 02/21/2024] [Indexed: 03/20/2024] Open
Abstract
Temperature is thought to be a key factor influencing global species richness patterns. We investigate the link between temperature and diversification in the butterfly family Pieridae by combining next generation DNA sequences and published molecular data with fine-grained distribution data. We sampled nearly 600 pierid butterfly species to infer the most comprehensive molecular phylogeny of the family and curated a distribution dataset of more than 800,000 occurrences. We found strong evidence that species in environments with more stable daily temperatures or cooler maximum temperatures in the warm seasons have higher speciation rates. Furthermore, speciation and extinction rates decreased in tandem with global temperatures through geological time, resulting in a constant net diversification.
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Affiliation(s)
- Ana Paula S. Carvalho
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, Gainesville, FL, USA
| | - Hannah L. Owens
- Center for Global Mountain Biodiversity, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Macroecology, Evolution, and Climate, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Florida Museum of Natural History, University of Florida, Gainesville, FL, USA
| | - Ryan A. St Laurent
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, Gainesville, FL, USA
- Department of Entomology, Smithsonian Institution, National Museum of Natural History, Washington, DC, USA
| | - Chandra Earl
- Department of Natural Sciences, Bernice Pauahi Bishop Museum, Honolulu, HI, USA
| | - Kelly M. Dexter
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, Gainesville, FL, USA
| | - Rebeccah L. Messcher
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, Gainesville, FL, USA
| | - Keith R. Willmott
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, Gainesville, FL, USA
| | | | | | - Nicholas T. Homziak
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, Gainesville, FL, USA
- Department of Entomology and Nematology, University of Florida, Gainesville, FL, USA
| | - Sugihiko Hoshizaki
- Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Yu-Feng Hsu
- Department of Life Science, National Taiwan Normal University, Taipei, Taiwan, R.O.C
| | - Athulya G. Kizhakke
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, GKVK Campus, Bengaluru, India
| | - Krushnamegh Kunte
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, GKVK Campus, Bengaluru, India
| | - Dino J. Martins
- Turkana Basin Institute, Stony Brook University, Stony Brook, NY, USA
- Insect Committee of Nature Kenya, The East Africa Natural History Society, Nairobi, Kenya
| | - Nicolás O. Mega
- Programa de Pós-Graduação em Biologia Animal, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Sadaharu Morinaka
- Saitama Study Center, The Open University of Japan, Omiya-ku, Saitama City, Japan
| | - Djunijanti Peggie
- Museum Zoologi Bogor, Research Center for Biosystematics and Evolution, Research Organization for Life Sciences and Environment, National Research and Innovation Agency, Cibinong, Bogor, Indonesia
| | - Helena P. Romanowski
- Laboratório de Ecologia de Insetos, Departamento de Zoologia, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Szabolcs Sáfián
- African Butterfly Research Institute, Karen, Nairobi, Kenya
- Institute of Silviculture and Forest Protection, University of Sopron, Sopron, Hungary
| | - Roger Vila
- Institut de Biologia Evolutiva (CSIC-Univ. Pompeu Fabra), Barcelona, Spain
| | - Houshuai Wang
- Department of Entomology, College of Plant Protection, South China Agricultural University, Guangzhou, China
| | - Michael F. Braby
- Division of Ecology and Evolution, Research School of Biology, The Australian National University, Acton, ACT, Australia
- Australian National Insect Collection, National Research Collections Australia, Canberra, ACT, Australia
| | - Marianne Espeland
- Leibniz Institute for the Analysis of Biodiversity Change, Museum Koenig, Bonn, Germany
| | - Jesse W. Breinholt
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, Gainesville, FL, USA
- Intermountain Healthcare, Intermountain Precision Genomics, St. George, UT, USA
| | - Naomi E. Pierce
- Department of Organismic and Evolutionary Biology, Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA
| | - Akito Y. Kawahara
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, Gainesville, FL, USA
- Department of Entomology and Nematology, University of Florida, Gainesville, FL, USA
- Department of Biology, University of Florida, Gainesville, FL, USA
| | - David J. Lohman
- Department of Biology, City University of New York, New York, NY, USA
- PhD Program in Biology, Graduate Center, City University of New York, New York, NY, USA
- Entomology Section, National Museum of Natural History, Manila, Philippines
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Chen N, Zhang QG. Linking temperature dependence of fitness effects of mutations to thermal niche adaptation. J Evol Biol 2023; 36:1517-1524. [PMID: 37750539 DOI: 10.1111/jeb.14225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 07/28/2023] [Accepted: 08/23/2023] [Indexed: 09/27/2023]
Abstract
Fitness effects of mutations may generally depend on temperature that influences all rate-limiting biophysical and biochemical processes. Earlier studies suggested that high temperatures may increase the availability of beneficial mutations ('more beneficial mutations'), or allow beneficial mutations to show stronger fitness effects ('stronger beneficial mutation effects'). The 'more beneficial mutations' scenario would inevitably be associated with increased proportion of conditionally beneficial mutations at higher temperatures. This in turn predicts that populations in warm environments show faster evolutionary adaptation but suffer fitness loss when faced with cold conditions, and those evolving in cold environments become thermal-niche generalists ('hotter is narrower'). Under the 'stronger beneficial mutation effects' scenario, populations evolving in warm environments would show faster adaptation without fitness costs in cold environments, leading to a 'hotter is (universally) better' pattern in thermal niche adaptation. We tested predictions of the two competing hypotheses using an experimental evolution study in which populations of two model bacterial species, Escherichia coli and Pseudomonas fluorescens, evolved for 2400 generations at three experimental temperatures. Results of reciprocal transplant experiments with our P. fluorescens populations were largely consistent with the 'hotter is narrower' prediction. Results from the E. coli populations clearly suggested stronger beneficial mutation effects at higher assay temperatures, but failed to detect faster adaptation in populations evolving in warmer experimental environments (presumably because of limitation in the supply of genetic variation). Our results suggest that the influence of temperature on mutational effects may provide insight into the patterns of thermal niche adaptation and population diversification across thermal conditions.
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Affiliation(s)
- Nan Chen
- State Key Laboratory of Earth Surface Processes and Resource Ecology and MOE Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Quan-Guo Zhang
- State Key Laboratory of Earth Surface Processes and Resource Ecology and MOE Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
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Savageau MA. Phenotype Design Space Provides a Mechanistic Framework Relating Molecular Parameters to Phenotype Diversity Available for Selection. J Mol Evol 2023; 91:687-710. [PMID: 37620617 PMCID: PMC10598110 DOI: 10.1007/s00239-023-10127-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 07/27/2023] [Indexed: 08/26/2023]
Abstract
Two long-standing challenges in theoretical population genetics and evolution are predicting the distribution of phenotype diversity generated by mutation and available for selection, and determining the interaction of mutation, selection and drift to characterize evolutionary equilibria and dynamics. More fundamental for enabling such predictions is the current inability to causally link genotype to phenotype. There are three major mechanistic mappings required for such a linking - genetic sequence to kinetic parameters of the molecular processes, kinetic parameters to biochemical system phenotypes, and biochemical phenotypes to organismal phenotypes. This article introduces a theoretical framework, the Phenotype Design Space (PDS) framework, for addressing these challenges by focusing on the mapping of kinetic parameters to biochemical system phenotypes. It provides a quantitative theory whose key features include (1) a mathematically rigorous definition of phenotype based on biochemical kinetics, (2) enumeration of the full phenotypic repertoire, and (3) functional characterization of each phenotype independent of its context-dependent selection or fitness contributions. This framework is built on Design Space methods that relate system phenotypes to genetically determined parameters and environmentally determined variables. It also has the potential to automate prediction of phenotype-specific mutation rate constants and equilibrium distributions of phenotype diversity in microbial populations undergoing steady-state exponential growth, which provides an ideal reference to which more realistic cases can be compared. Although the framework is quite general and flexible, the details will undoubtedly differ for different functions, organisms and contexts. Here a hypothetical case study involving a small molecular system, a primordial circadian clock, is used to introduce this framework and to illustrate its use in a particular case. The framework is built on fundamental biochemical kinetics. Thus, the foundation is based on linear algebra and reasonable physical assumptions, which provide numerous opportunities for experimental testing and further elaboration to deal with complex multicellular organisms that are currently beyond its scope. The discussion provides a comparison of results from the PDS framework with those from other approaches in theoretical population genetics.
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Affiliation(s)
- Michael A Savageau
- Department of Microbiology & Molecular Genetics, University of California, 228 Briggs, Davis, CA, 95616, USA.
- Department of Biomedical Engineering, University of California, One Shields Avenue, Davis, CA, 95616, USA.
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Brodie JF, Mannion PD. The hierarchy of factors predicting the latitudinal diversity gradient. Trends Ecol Evol 2023; 38:15-23. [PMID: 36089412 DOI: 10.1016/j.tree.2022.07.013] [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: 11/24/2020] [Revised: 07/26/2022] [Accepted: 07/29/2022] [Indexed: 12/24/2022]
Abstract
The numerous explanations for why Earth's biodiversity is concentrated at low latitudes fail to explain variation in the strength and even direction of the gradient through deep time. Consequently, we do not know if today's gradient is representative of what might be expected on other planets or is merely an idiosyncrasy of Earth's history. We propose a hierarchy of factors driving the latitudinal distribution of diversity: (i) over geologically long time spans, diversity is largely predicted by climate; (ii) when climatic gradients are shallow, diversity tracks habitat area; and (iii) historical contingencies linked to niche conservatism have geologically short-term, transient influence at most. Thus, latitudinal diversity gradients, although variable in strength and direction, are largely predictable on our planet and possibly others.
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Affiliation(s)
- Jedediah F Brodie
- Division of Biological Sciences & Wildlife Biology Program, University of Montana, Missoula, MT 59812, USA; Institute of Biodiversity and Environmental Conservation, Universiti Malaysia Sarawak, 94 300 Kota Samarahan, Malaysia.
| | - Philip D Mannion
- Department of Earth Sciences, University College London, Gower Street, London, WC1E 6BT, UK
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Zhang QG, Lu HS, Buckling A. Temperature drives diversification in a model adaptive radiation. Proc Biol Sci 2018; 285:rspb.2018.1515. [PMID: 30185639 DOI: 10.1098/rspb.2018.1515] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 08/15/2018] [Indexed: 01/10/2023] Open
Abstract
The warmer regions harbour more species, attributable to accelerated speciation and increased ecological opportunities for coexistence. While correlations between temperature and energy availability and habitat area have been suggested as major drivers of these biodiversity patterns, temperature can theoretically also have direct effects on the evolution of diversity. Here, we experimentally studied the evolution of diversity in a model adaptive radiation of the bacterium Pseudomonas fluorescens across a temperature gradient. Diversification increased at higher temperatures, driven by both faster generation of genetic variation and stronger diversifying selection. Specifically, low temperatures could limit the generation of diversity, suggested by the observation that supply of genetic variation through immigration increased diversity at low, but not high temperatures. The two major determinants of mutation supply, population size and mutation rate, both showed a positive temperature dependence. Stronger diversifying selection in warmer environments was suggested by promoted coexistence, and further explicitly inferred by the ability of evolved phenotypes to invade the ancestral type from rare. We discuss possible physiological and environmental mechanisms underlying the findings, most of which are likely to be general.
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Affiliation(s)
- Quan-Guo Zhang
- State Key Laboratory of Earth Surface Processes and Resource Ecology and MOE Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100875, People's Republic of China
| | - Han-Shu Lu
- State Key Laboratory of Earth Surface Processes and Resource Ecology and MOE Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100875, People's Republic of China
| | - Angus Buckling
- ESI and CEC, Biosciences, University of Exeter, Penryn, Cornwall TR10 9EZ, UK
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