TY - JOUR
T1 - Functional Traits 2.0
T2 - The power of the metabolome for ecology
AU - Walker, Tom W. N.
AU - Alexander, Jake M.
AU - Allard, Pierre-Marie
AU - Baines, Oliver
AU - Baldy, Virginie
AU - Bardgett, Richard D.
AU - Capdevila, Pol
AU - Coley, Phyllis D.
AU - David, Bruno
AU - Defossez, Emmanuel
AU - Endara, Maria-Jose
AU - Ernst, Madeleine
AU - Fernandez, Catherine
AU - Forrister, Dale
AU - Gargallo-Garriga, Albert
AU - Jassey, Vincent E. J.
AU - Marr, Sue
AU - Neumann, Steffen
AU - Pellissier, Loic
AU - Penuelas, Josep
AU - Peters, Kristian
AU - Rasmann, Sergio
AU - Roessner, Ute
AU - Sardans, Jordi
AU - Schrodt, Franziska
AU - Schuman, Meredith C.
AU - Soule, Abrianna
AU - Uthe, Henriette
AU - Weckwerth, Wolfram
AU - Wolfender, Jean-Luc
AU - van Dam, Nicole M.
AU - Salguero-Gomez, Roberto
N1 - This study was part funded by a grant from the Synthesis Centre (sDiv) of the German Centre for Integrative Biodiversity Research (iDiv), awarded to T.W.N.W., F.S. and N.M.v.D.; J.M.A. and T.W.N.W. are funded by the Swiss National Science Foundation (grant no. 31003A-176044). R.S.-G. is funded by a UK Natural Environment Research Council Independent Research Fellowship (grant no. NE/M018458/1). J.M.A. is additionally funded by the European Research Council (grant no. 678841). P.C. is supported by a Ramón Areces Foundation Postdoctoral Scholarship. V.B. is supported by the French Agence Nationale pour la Recherche (grant no. ANR-12-BSV7-0016-01: SecPriMe2), the BioDivMeX Mistrals programme, the Aix-Marseille University ‘Investissements d’Avenir’ programme and the Labex OT-Med programmes. P.D.C. is funded by the US National Science Foundation (grant no. DEB-1135733). D.L.F. is supported by the US National Science Foundation Graduate Research Fellowships Program. V.E.J.J. is funded by the French National Research Agency (grant no. ANR-17-CE01-0007: Mixxopeat). N.M.v.D., S.M., K.P. and H.U. are supported by iDiv Halle-Jena-Leipzig, which is funded by the German Research Foundation (grant nos DFG–FZT 118 and 202548816). S.N. and K.P. are additionally funded by the German Network for Bioinformatics Infrastructure (de.NBI) and acknowledge BMBF funding (grant no. 031L0107). J.P. and J.S. are funded by the Spanish Government (grant no. PID2019-110521GB-I00), Catalan Government (grant no. SGR 2017-1005) and a European Research Council Synergy Grant (grant no. ERC-SyG-2013-610028: IMBALANCE-P). S.R. is funded by the Swiss National Science Foundation (grant no. 31003A_179481). F.S. acknowledges funding by the University of Nottingham Anne McLaren Fellowship. M.C.S. is supported by a NOMIS Foundation project (‘Remotely Sensing Ecological Genomics’) and by the University of Zürich Research Priority Programme on Global Change and Biodiversity.
Publisher Copyright:
© 2022 British Ecological Society
PY - 2022/1/12
Y1 - 2022/1/12
N2 - A major aim of ecology is to upscale attributes of individuals to understand processes at population, community and ecosystem scales. Such attributes are typically described using functional traits, that is, standardised characteristics that impact fitness via effects on survival, growth and/or reproduction. However, commonly used functional traits (e.g. wood density, SLA) are becoming increasingly criticised for not being truly mechanistic and for being questionable predictors of ecological processes. This Special Feature reviews and studies how the metabolome (i.e. the thousands of unique metabolites that underpin physiology) can enhance trait-based ecology and our understanding of plant and ecosystem functioning. In this Editorial, we explore how the metabolome relates to plant functional traits, with reference to life-history trade-offs governing fitness between generations and plasticity shaping fitness within generations. We also identify solutions to challenges of acquiring, interpreting and contextualising metabolome data, and propose a roadmap for integrating the metabolome into ecology. We next summarise the seven studies composing the Special Feature, which use the metabolome to examine mechanisms behind plant community assembly, plant-organismal interactions and effects of plants and soil micro-organisms on ecosystem processes. Synthesis. We demonstrate the potential of the metabolome to improve mechanistic and predictive power in ecology by providing a high-resolution coupling between physiology and fitness. However, applying metabolomics to ecological questions is currently limited by a lack of conceptual, technical and data frameworks, which needs to be overcome to realise the full potential of the metabolome for ecology.
AB - A major aim of ecology is to upscale attributes of individuals to understand processes at population, community and ecosystem scales. Such attributes are typically described using functional traits, that is, standardised characteristics that impact fitness via effects on survival, growth and/or reproduction. However, commonly used functional traits (e.g. wood density, SLA) are becoming increasingly criticised for not being truly mechanistic and for being questionable predictors of ecological processes. This Special Feature reviews and studies how the metabolome (i.e. the thousands of unique metabolites that underpin physiology) can enhance trait-based ecology and our understanding of plant and ecosystem functioning. In this Editorial, we explore how the metabolome relates to plant functional traits, with reference to life-history trade-offs governing fitness between generations and plasticity shaping fitness within generations. We also identify solutions to challenges of acquiring, interpreting and contextualising metabolome data, and propose a roadmap for integrating the metabolome into ecology. We next summarise the seven studies composing the Special Feature, which use the metabolome to examine mechanisms behind plant community assembly, plant-organismal interactions and effects of plants and soil micro-organisms on ecosystem processes. Synthesis. We demonstrate the potential of the metabolome to improve mechanistic and predictive power in ecology by providing a high-resolution coupling between physiology and fitness. However, applying metabolomics to ecological questions is currently limited by a lack of conceptual, technical and data frameworks, which needs to be overcome to realise the full potential of the metabolome for ecology.
KW - ecophysiology
KW - fitness
KW - functional traits
KW - life history
KW - metabolite
KW - metabolomics
KW - plasticity
KW - trade-offs
KW - NATURAL-PRODUCTS
KW - CHEMICAL DIVERSITY
KW - PLANTS
KW - RESPONSES
KW - DEFENSE
KW - FUTURE
KW - STOICHIOMETRY
KW - BIODIVERSITY
KW - COMMUNITIES
KW - HERBIVORES
UR - http://www.scopus.com/inward/record.url?scp=85122789613&partnerID=8YFLogxK
U2 - 10.1111/1365-2745.13826
DO - 10.1111/1365-2745.13826
M3 - Editorial
SN - 0022-0477
VL - 110
SP - 4
EP - 20
JO - Journal of Ecology
JF - Journal of Ecology
IS - 1
ER -