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Favate JS, Skalenko KS, Chiles E, Su X, Yadavalli SS, Shah P. Linking genotypic and phenotypic changes in the E. coli long-term evolution experiment using metabolomics. eLife 2023; 12:RP87039. [PMID: 37991493 PMCID: PMC10665018 DOI: 10.7554/elife.87039] [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] [Indexed: 11/23/2023] Open
Abstract
Changes in an organism's environment, genome, or gene expression patterns can lead to changes in its metabolism. The metabolic phenotype can be under selection and contributes to adaptation. However, the networked and convoluted nature of an organism's metabolism makes relating mutations, metabolic changes, and effects on fitness challenging. To overcome this challenge, we use the long-term evolution experiment (LTEE) with E. coli as a model to understand how mutations can eventually affect metabolism and perhaps fitness. We used mass spectrometry to broadly survey the metabolomes of the ancestral strains and all 12 evolved lines. We combined this metabolic data with mutation and expression data to suggest how mutations that alter specific reaction pathways, such as the biosynthesis of nicotinamide adenine dinucleotide, might increase fitness in the system. Our work provides a better understanding of how mutations might affect fitness through the metabolic changes in the LTEE and thus provides a major step in developing a complete genotype-phenotype map for this experimental system.
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Affiliation(s)
- John S Favate
- Department of Genetics, Rutgers UniversityPiscatawayUnited States
- Human Genetics Institute of New JerseyPiscatawayUnited States
| | - Kyle S Skalenko
- Department of Genetics, Rutgers UniversityPiscatawayUnited States
- Waksman Institute, Rutgers UniversityPiscatawayUnited States
| | - Eric Chiles
- Cancer Institute of New JerseyNew BrunswickUnited States
| | - Xiaoyang Su
- Cancer Institute of New JerseyNew BrunswickUnited States
| | - Srujana Samhita Yadavalli
- Department of Genetics, Rutgers UniversityPiscatawayUnited States
- Waksman Institute, Rutgers UniversityPiscatawayUnited States
| | - Premal Shah
- Department of Genetics, Rutgers UniversityPiscatawayUnited States
- Human Genetics Institute of New JerseyPiscatawayUnited States
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2
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Edith A KA, Ongole R, V. K U, U. K A, N. R N. Elemental Composition of Betel Leaves Using a Novel Optical Spectroscopic Technique. Asian Pac J Cancer Prev 2023; 24:3685-3688. [PMID: 38019225 PMCID: PMC10772764 DOI: 10.31557/apjcp.2023.24.11.3685] [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: 03/23/2023] [Accepted: 11/20/2023] [Indexed: 11/30/2023] Open
Abstract
Objective: Assess trace elements in betel leaves and slaked lime from different regions of Karnataka, India using Laser Induced Breakdown Spectroscopy (LIBS). Materials and Method: Betel leaves from six different regions of Karnataka were obtained and named (for the purpose of the study) BL1, BL2, BL3, BL4, BL5, and BL6 and they were sun-dried. A single tube of slaked lime was obtained from the local ‘paan’ shop. Each dried leaf and a single blob of slaked lime was subjected to elemental analysis using Laser-induced breakdown spectroscopy. Results: A ten-trial experiment was carried out in all six leaves and a blob of the slaked lime. The National Institute of Standards and Technology (NIST) database was used to assess the emission lines. The elements that were predominantly present in all six betel leaves from different regions of Karnataka are calcium, copper, and iron. Slaked lime showed only the presence of calcium. Conclusion: It is widely accepted that the consumption of betel quid causes various changes in the oral mucosa including oral potentially malignant disorders (OPMDs) and oral cancer. It is important to analyze each component of betel quid to understand the disease progression. Copper is found to be relatively higher in betel leaves, and it is known that copper-induced fibrogenesis via the lysyl oxidase pathway in oral submucous fibrosis.
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Affiliation(s)
- Kripa Adlene Edith A
- Department of Oral Medicine and Radiology, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Manipal, India.
| | - Ravikiran Ongole
- Department of Oral Medicine and Radiology, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Manipal, India.
| | - Unnikrishnan V. K
- Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, India.
| | - Adarsh U. K
- Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, India.
| | - Nagaraja N. R
- Scientist- Senior scale (plant breeding), ICAR – Central Plantation Crops Research Institute (CPCRI), Vittal, India.
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3
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El-Sabaawi RW, Lemmen KD, Jeyasingh PD, Declerck SAJ. SEED: A framework for integrating ecological stoichiometry and eco-evolutionary dynamics. Ecol Lett 2023; 26 Suppl 1:S109-S126. [PMID: 37840025 DOI: 10.1111/ele.14285] [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: 11/07/2022] [Revised: 06/01/2023] [Accepted: 06/04/2023] [Indexed: 10/17/2023]
Abstract
Characterising the extent and sources of intraspecific variation and their ecological consequences is a central challenge in the study of eco-evolutionary dynamics. Ecological stoichiometry, which uses elemental variation of organisms and their environment to understand ecosystem patterns and processes, can be a powerful framework for characterising eco-evolutionary dynamics. However, the current emphasis on the relative content of elements in the body (i.e. organismal stoichiometry) has constrained its application. Intraspecific variation in the rates at which elements are acquired, assimilated, allocated or lost is often greater than the variation in organismal stoichiometry. There is much to gain from studying these traits together as components of an 'elemental phenotype'. Furthermore, each of these traits can have distinct ecological effects that are underappreciated in the current literature. We propose a conceptual framework that explores how microevolutionary change in the elemental phenotype occurs, how its components interact with each other and with other traits, and how its changes can affect a wide range of ecological processes. We demonstrate how the framework can be used to generate novel hypotheses and outline pathways for future research that enhance our ability to explain, analyse and predict eco-evolutionary dynamics.
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Affiliation(s)
- Rana W El-Sabaawi
- Department of Biology, University of Victoria, Victoria, British Columbia, Canada
| | - Kimberley D Lemmen
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
- Department of Aquatic Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
| | - Punidan D Jeyasingh
- Department of Integrative Biology, Oklahoma State University, Stillwater, Oklahoma, USA
| | - Steven A J Declerck
- Department of Aquatic Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
- Department of Biology, Laboratory of Aquatic Ecology, Evolution and Conservation, KULeuven, Leuven, Belgium
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4
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Favate JS, Skalenko KS, Chiles E, Su X, Yadavalli SS, Shah P. Linking genotypic and phenotypic changes in the E. coli Long-Term Evolution Experiment using metabolomics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.15.528756. [PMID: 36874203 PMCID: PMC9985142 DOI: 10.1101/2023.02.15.528756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Changes in an organism's environment, genome, or gene expression patterns can lead to changes in its metabolism. The metabolic phenotype can be under selection and contributes to adaptation. However, the networked and convoluted nature of an organism's metabolism makes relating mutations, metabolic changes, and effects on fitness challenging. To overcome this challenge, we use the Long-Term Evolution Experiment (LTEE) with E. coli as a model to understand how mutations can eventually affect metabolism and perhaps fitness. We used mass-spectrometry to broadly survey the metabolomes of the ancestral strains and all 12 evolved lines. We combined this metabolic data with mutation and expression data to suggest how mutations that alter specific reaction pathways, such as the biosynthesis of nicotinamide adenine dinucleotide, might increase fitness in the system. Our work provides a better understanding of how mutations might affect fitness through the metabolic changes in the LTEE and thus provides a major step in developing a complete genotype-phenotype map for this experimental system.
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Affiliation(s)
- John S. Favate
- Department of Genetics, Rutgers University, Piscataway, New Jersey, USA
- Human Genetics Institute of New Jersey, Piscataway, New Jersey, USA
| | - Kyle S. Skalenko
- Department of Genetics, Rutgers University, Piscataway, New Jersey, USA
- Waksman Institute, Rutgers University, Piscataway, New Jersey, USA
| | - Eric Chiles
- Cancer Institute of New Jersey, New Brunswick, New Jersey, USA
| | - Xiaoyang Su
- Cancer Institute of New Jersey, New Brunswick, New Jersey, USA
| | - Srujana S. Yadavalli
- Department of Genetics, Rutgers University, Piscataway, New Jersey, USA
- Waksman Institute, Rutgers University, Piscataway, New Jersey, USA
| | - Premal Shah
- Department of Genetics, Rutgers University, Piscataway, New Jersey, USA
- Human Genetics Institute of New Jersey, Piscataway, New Jersey, USA
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5
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Jeyasingh PD, Sherman RE, Prater C, Pulkkinen K, Ketola T. Adaptation to a limiting element involves mitigation of multiple elemental imbalances. J R Soc Interface 2023; 20:20220472. [PMID: 36596454 PMCID: PMC9810419 DOI: 10.1098/rsif.2022.0472] [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: 06/25/2022] [Accepted: 12/05/2022] [Indexed: 01/05/2023] Open
Abstract
About 20 elements underlie biology and thus constrain biomass production. Recent systems-level observations indicate that altered supply of one element impacts the processing of most elements encompassing an organism (i.e. ionome). Little is known about the evolutionary tendencies of ionomes as populations adapt to distinct biogeochemical environments. We evolved the bacterium Serratia marcescens under five conditions (i.e. low carbon, nitrogen, phosphorus, iron or manganese) that limited the yield of the ancestor compared with replete medium, and measured the concentrations and use efficiency of these five, and five other elements. Both physiological responses of the ancestor, as well as evolutionary responses of descendants to experimental environments involved changes in the content and use efficiencies of the limiting element, and several others. Differences in coefficients of variation in elemental contents based on biological functions were evident, with those involved in biochemical building (C, N, P, S) varying least, followed by biochemical balance (Ca, K, Mg, Na), and biochemical catalysis (Fe, Mn). Finally, descendants evolved to mitigate elemental imbalances evident in the ancestor in response to limiting conditions. Understanding the tendencies of such ionomic responses will be useful to better forecast biological responses to geochemical changes.
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Affiliation(s)
- Punidan D. Jeyasingh
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35, FI-40014, Finland
- Department of Integrative Biology, Oklahoma State University, 501 Life Sciences West, Stillwater, OK 74078, USA
| | - Ryan E. Sherman
- Department of Integrative Biology, Oklahoma State University, 501 Life Sciences West, Stillwater, OK 74078, USA
| | - Clay Prater
- Department of Integrative Biology, Oklahoma State University, 501 Life Sciences West, Stillwater, OK 74078, USA
| | - Katja Pulkkinen
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35, FI-40014, Finland
| | - Tarmo Ketola
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35, FI-40014, Finland
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Favate JS, Liang S, Cope AL, Yadavalli SS, Shah P. The landscape of transcriptional and translational changes over 22 years of bacterial adaptation. eLife 2022; 11:e81979. [PMID: 36214449 PMCID: PMC9645810 DOI: 10.7554/elife.81979] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 10/07/2022] [Indexed: 12/31/2022] Open
Abstract
Organisms can adapt to an environment by taking multiple mutational paths. This redundancy at the genetic level, where many mutations have similar phenotypic and fitness effects, can make untangling the molecular mechanisms of complex adaptations difficult. Here, we use the Escherichia coli long-term evolution experiment (LTEE) as a model to address this challenge. To understand how different genomic changes could lead to parallel fitness gains, we characterize the landscape of transcriptional and translational changes across 12 replicate populations evolving in parallel for 50,000 generations. By quantifying absolute changes in mRNA abundances, we show that not only do all evolved lines have more mRNAs but that this increase in mRNA abundance scales with cell size. We also find that despite few shared mutations at the genetic level, clones from replicate populations in the LTEE are remarkably similar in their gene expression patterns at both the transcriptional and translational levels. Furthermore, we show that the majority of the expression changes are due to changes at the transcriptional level with very few translational changes. Finally, we show how mutations in transcriptional regulators lead to consistent and parallel changes in the expression levels of downstream genes. These results deepen our understanding of the molecular mechanisms underlying complex adaptations and provide insights into the repeatability of evolution.
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Affiliation(s)
- John S Favate
- Department of Genetics, Rutgers UniversityPiscatawayUnited States
| | - Shun Liang
- Department of Genetics, Rutgers UniversityPiscatawayUnited States
| | - Alexander L Cope
- Department of Genetics, Rutgers UniversityPiscatawayUnited States
- Robert Wood Johnson Medical School, Rutgers UniversityNew BrunswickUnited States
| | - Srujana S Yadavalli
- Department of Genetics, Rutgers UniversityPiscatawayUnited States
- Waksman Institute, Rutgers UniversityPiscatawayUnited States
| | - Premal Shah
- Department of Genetics, Rutgers UniversityPiscatawayUnited States
- Human Genetics Institute of New Jersey, Rutgers UniversityPiscatawayUnited States
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7
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Long-term experimental evolution decouples size and production costs in Escherichia coli. Proc Natl Acad Sci U S A 2022; 119:e2200713119. [PMID: 35594402 DOI: 10.1073/pnas.2200713119] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
SignificancePopulations of larger organisms should be more efficient in their resource use, but grow more slowly, than populations of smaller organisms. The relations between size, metabolism, and demography form the bedrock of metabolic theory, but most empirical tests have been correlative and indirect. Experimental lineages of Escherichia coli that evolved to make larger cells provide a unique opportunity to test how size, metabolism, and demography covary. Despite the larger cells having a relatively slower metabolism, they grow faster than smaller cells. They achieve this growth rate advantage by reducing the relative costs of producing their larger cells. That evolution can decouple the costs of production from size challenges a fundamental assumption about the connections between physiology and ecology.
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8
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Manzoni S, Ding Y, Warren C, Banfield CC, Dippold MA, Mason-Jones K. Intracellular Storage Reduces Stoichiometric Imbalances in Soil Microbial Biomass – A Theoretical Exploration. Front Ecol Evol 2021. [DOI: 10.3389/fevo.2021.714134] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Microbial intracellular storage is key to defining microbial resource use strategies and could contribute to carbon (C) and nutrient cycling. However, little attention has been devoted to the role of intracellular storage in soil processes, in particular from a theoretical perspective. Here we fill this gap by integrating intracellular storage dynamics into a microbially explicit soil C and nutrient cycling model. Two ecologically relevant modes of storage are considered: reserve storage, in which elements are routed to a storage compartment in proportion to their uptake rate, and surplus storage, in which elements in excess of microbial stoichiometric requirements are stored and limiting elements are remobilized from storage to fuel growth and microbial maintenance. Our aim is to explore with this model how these different storage modes affect the retention of C and nutrients in active microbial biomass under idealized conditions mimicking a substrate pulse experiment. As a case study, we describe C and phosphorus (P) dynamics using literature data to estimate model parameters. Both storage modes enhance the retention of elements in microbial biomass, but the surplus storage mode is more effective to selectively store or remobilize C and nutrients according to microbial needs. Enhancement of microbial growth by both storage modes is largest when the substrate C:nutrient ratio is high (causing nutrient limitation after substrate addition) and the amount of added substrate is large. Moreover, storage increases biomass nutrient retention and growth more effectively when resources are supplied in a few large pulses compared to several smaller pulses (mimicking a nearly constant supply), which suggests storage to be particularly relevant in highly dynamic soil microhabitats. Overall, our results indicate that storage dynamics are most important under conditions of strong stoichiometric imbalance and may be of high ecological relevance in soil environments experiencing large variations in C and nutrient supply.
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9
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Market forces determine the distribution of a leaky function in a simple microbial community. Proc Natl Acad Sci U S A 2021; 118:2109813118. [PMID: 34548403 DOI: 10.1073/pnas.2109813118] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/21/2021] [Indexed: 11/18/2022] Open
Abstract
Many biological functions are leaky, and organisms that perform them contribute some of their products to a community "marketplace" in which nonperforming individuals may compete for them. Leaky functions are partitioned unequally in microbial communities, and the evolutionary forces determining which species perform them and which become beneficiaries are poorly understood. Here, we demonstrate that the market principle of comparative advantage determines the distribution of a leaky antibiotic resistance gene in an environment occupied by two "species"-strains of Escherichia coli growing on mutually exclusive resources and thus occupying separate niches. Communities comprised of antibiotic-resistant cells were rapidly invaded by sensitive cells of both types. While the two phenotypes coexisted stably for 500 generations, in 15/18 replicates, antibiotic sensitivity became fixed in one species. Fixation always occurred in the same species despite both species being genetically identical except for their niche-defining mutation. In the absence of antibiotic, the fitness cost of resistance was identical in both species. However, the intrinsic resistance of the species that ultimately became the sole helper was significantly lower, and thus its reward for expressing the resistance gene was higher. Opportunity cost of resistance, not absolute cost or efficiency of antibiotic removal, determined which species became the helper, consistent with the economic theory of comparative advantage. We present a model that suggests that this market-like dynamic is a general property of Black Queen systems and, in communities dependent on multiple leaky functions, could lead to the spontaneous development of an equitable and efficient division of labor.
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10
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Hausch SJ, Vamosi SM, Fox JW. Experimental evolution of competing bean beetle species reveals long-term reversals of short-term evolution, but no consistent character displacement. Ecol Evol 2020; 10:3727-3737. [PMID: 32313631 PMCID: PMC7160166 DOI: 10.1002/ece3.6164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Revised: 01/21/2020] [Accepted: 01/29/2020] [Indexed: 11/07/2022] Open
Abstract
Interspecific competition for shared resources should select for evolutionary divergence in resource use between competing species, termed character displacement. Many purported examples of character displacement exist, but few completely rule out alternative explanations. We reared genetically diverse populations of two species of bean beetles, Callosobruchus maculatus and Callosobruchus chinensis, in allopatry and sympatry on a mixture of adzuki beans and lentils, and assayed oviposition preference and other phenotypic traits after four, eight, and twelve generations of (co)evolution. C. maculatus specializes on adzuki beans; the generalist C. chinensis uses both beans. C. chinensis growing in allopatry emerged equally from both bean species. In sympatry, the two species competing strongly and coexisted via strong realized resource partitioning, with C. chinensis emerging almost exclusively from lentils and C. maculatus emerging almost exclusively from adzuki beans. However, oviposition preferences, larval survival traits, and larval development rates in both beetle species did not vary consistently between allopatric versus sympatric treatments. Rather, traits evolved in treatment-independent fashion, with several traits exhibiting reversals in their evolutionary trajectories. For example, C. chinensis initially evolved a slower egg-to-adult development rate on adzuki beans in both allopatry and sympatry, then subsequently evolved back toward the faster ancestral development rate. Lack of character displacement is consistent with a previous similar experiment in bean beetles and may reflect lack of evolutionary trade-offs in resource use. However, evolutionary reversals were unexpected and remain unexplained. Together with other empirical and theoretical work, our results illustrate the stringency of the conditions for character displacement.
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Affiliation(s)
- Stephen J. Hausch
- Department of Biological SciencesUniversity of CalgaryCalgaryABCanada
| | - Steven M. Vamosi
- Department of Biological SciencesUniversity of CalgaryCalgaryABCanada
| | - Jeremy W. Fox
- Department of Biological SciencesUniversity of CalgaryCalgaryABCanada
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11
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Lemmen KD, Butler OM, Koffel T, Rudman SM, Symons CC. Stoichiometric Traits Vary Widely Within Species: A Meta-Analysis of Common Garden Experiments. Front Ecol Evol 2019. [DOI: 10.3389/fevo.2019.00339] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
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12
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Larsen ML, Wilhelm SW, Lennon JT. Nutrient stoichiometry shapes microbial coevolution. Ecol Lett 2019; 22:1009-1018. [DOI: 10.1111/ele.13252] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 11/10/2018] [Accepted: 02/18/2019] [Indexed: 01/07/2023]
Affiliation(s)
- Megan L. Larsen
- Department of Biology Indiana University Bloomington IN47405USA
| | - Steven W. Wilhelm
- Department of Microbiology University of Tennessee Knoxville TN37996 USA
| | - Jay T. Lennon
- Department of Biology Indiana University Bloomington IN47405USA
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13
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Peñuelas J, Fernández‐Martínez M, Ciais P, Jou D, Piao S, Obersteiner M, Vicca S, Janssens IA, Sardans J. The bioelements, the elementome, and the biogeochemical niche. Ecology 2019; 100:e02652. [DOI: 10.1002/ecy.2652] [Citation(s) in RCA: 80] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 12/26/2018] [Accepted: 01/16/2019] [Indexed: 01/30/2023]
Affiliation(s)
- Josep Peñuelas
- CSIC Global Ecology Unit CREAF‐CSIC‐UAB Bellaterra 08193 Spain
- CREAF Cerdanyola del Valles 08193 Spain
| | - Marcos Fernández‐Martínez
- CREAF Cerdanyola del Valles 08193 Spain
- Research Group Plants and Ecosystems (PLECO) Department of Biology University of Antwerp Wilrijk B‐2610 Belgium
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement IPSL Gif‐sur‐Yvette 91191 France
| | - David Jou
- Department of Physics Universitat Autònoma de Barcelona Bellaterra 08193 Spain
| | - Shilong Piao
- Sino‐French Institute for Earth System Science College of Urban and Environmental Sciences Peking University Beijing 100871 China
| | - Michael Obersteiner
- International Institute for Applied Systems Analysis (IIASA), Ecosystems Services and Management Schlossplatz 1 Laxenburg A‐2361 Austria
| | - Sara Vicca
- Research Group Plants and Ecosystems (PLECO) Department of Biology University of Antwerp Wilrijk B‐2610 Belgium
| | - Ivan A. Janssens
- Research Group Plants and Ecosystems (PLECO) Department of Biology University of Antwerp Wilrijk B‐2610 Belgium
| | - Jordi Sardans
- CSIC Global Ecology Unit CREAF‐CSIC‐UAB Bellaterra 08193 Spain
- CREAF Cerdanyola del Valles 08193 Spain
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14
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Blount ZD, Lenski RE, Losos JB. Contingency and determinism in evolution: Replaying life’s tape. Science 2018; 362:362/6415/eaam5979. [DOI: 10.1126/science.aam5979] [Citation(s) in RCA: 263] [Impact Index Per Article: 43.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Historical processes display some degree of “contingency,” meaning their outcomes are sensitive to seemingly inconsequential events that can fundamentally change the future. Contingency is what makes historical outcomes unpredictable. Unlike many other natural phenomena, evolution is a historical process. Evolutionary change is often driven by the deterministic force of natural selection, but natural selection works upon variation that arises unpredictably through time by random mutation, and even beneficial mutations can be lost by chance through genetic drift. Moreover, evolution has taken place within a planetary environment with a particular history of its own. This tension between determinism and contingency makes evolutionary biology a kind of hybrid between science and history. While philosophers of science examine the nuances of contingency, biologists have performed many empirical studies of evolutionary repeatability and contingency. Here, we review the experimental and comparative evidence from these studies. Replicate populations in evolutionary “replay” experiments often show parallel changes, especially in overall performance, although idiosyncratic outcomes show that the particulars of a lineage’s history can affect which of several evolutionary paths is taken. Comparative biologists have found many notable examples of convergent adaptation to similar conditions, but quantification of how frequently such convergence occurs is difficult. On balance, the evidence indicates that evolution tends to be surprisingly repeatable among closely related lineages, but disparate outcomes become more likely as the footprint of history grows deeper. Ongoing research on the structure of adaptive landscapes is providing additional insight into the interplay of fate and chance in the evolutionary process.
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Affiliation(s)
- Zachary D. Blount
- Department of Microbiology and Molecular Genetics and BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824, USA
- Department of Biology, Kenyon College, Gambier, OH 43022, USA
| | - Richard E. Lenski
- Department of Microbiology and Molecular Genetics and BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824, USA
| | - Jonathan B. Losos
- Department of Biology, Washington University, St. Louis, MO 63130, USA
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15
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Competitive resource allocation to metabolic pathways contributes to overflow metabolisms and emergent properties in cross-feeding microbial consortia. Biochem Soc Trans 2018; 46:269-284. [PMID: 29472366 DOI: 10.1042/bst20170242] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 12/21/2017] [Accepted: 01/01/2018] [Indexed: 01/24/2023]
Abstract
Resource scarcity is a common stress in nature and has a major impact on microbial physiology. This review highlights microbial acclimations to resource scarcity, focusing on resource investment strategies for chemoheterotrophs from the molecular level to the pathway level. Competitive resource allocation strategies often lead to a phenotype known as overflow metabolism; the resulting overflow byproducts can stabilize cooperative interactions in microbial communities and can lead to cross-feeding consortia. These consortia can exhibit emergent properties such as enhanced resource usage and biomass productivity. The literature distilled here draws parallels between in silico and laboratory studies and ties them together with ecological theories to better understand microbial stress responses and mutualistic consortia functioning.
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