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Lemoine T, Violle C, Montazeaud G, Isaac ME, Rocher A, Fréville H, Fort F. Plant trait relationships are maintained within a major crop species: lack of artificial selection signal and potential for improved agronomic performance. THE NEW PHYTOLOGIST 2023; 240:2227-2238. [PMID: 37771248 DOI: 10.1111/nph.19279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 09/05/2023] [Indexed: 09/30/2023]
Abstract
The exploration of phenotypic spaces of large sets of plant species has considerably increased our understanding of diversification processes in the plant kingdom. Nevertheless, such advances have predominantly relied on interspecific comparisons that hold several limitations. Here, we grew in the field a unique set of 179 inbred lines of durum wheat, Triticum turgidum spp. durum, characterized by variable degrees of artificial selection. We measured aboveground and belowground traits as well as agronomic traits to explore the functional and agronomic trait spaces and to investigate trait-to-agronomic performance relationships. We showed that the wheat functional trait space shared commonalities with global cross-species spaces previously described, with two main axes of variation: a root foraging axis and a slow-fast trade-off axis. Moreover, we detected a clear signature of artificial selection on the variation of agronomic traits, unlike functional traits. Interestingly, we identified alternative phenotypic combinations that can optimize crop performance. Our work brings insightful knowledge about the structure of phenotypic spaces of domesticated plants and the maintenance of phenotypic trade-offs in response to artificial selection, with implications for trade-off-free and multi-criteria selection in plant breeding.
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Affiliation(s)
- Taïna Lemoine
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, 34000, France
- AGAP, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, 34000, France
| | - Cyrille Violle
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, 34000, France
| | - Germain Montazeaud
- Department of Ecology and Evolution, University of Lausanne, Lausanne, CH-1015, Switzerland
| | - Marney E Isaac
- Department of Physical and Environmental Sciences, University of Toronto, Toronto, M1C 1A4, ON, Canada
| | - Aline Rocher
- AGAP, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, 34000, France
| | - Hélène Fréville
- AGAP, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, 34000, France
| | - Florian Fort
- CEFE, Univ Montpellier, Institut Agro, CNRS, EPHE, IRD, Montpellier, 34000, France
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Martin AR, Mariani RO, Dörr de Quadros P, Fulthorpe RR. The influence of biofertilizers on leaf economics spectrum traits in a herbaceous crop. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:7552-7563. [PMID: 36103721 DOI: 10.1093/jxb/erac373] [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: 03/24/2022] [Accepted: 09/13/2022] [Indexed: 06/15/2023]
Abstract
Microbial inoculations or 'biofertilizers' represent novel contributions to sustainable agriculture. While belowground mechanisms surrounding how biofertilizers enhance crop production are well described, their role in aboveground trait expression remains less well explored. We quantified infraspecific variation in leaf economics spectrum (LES) traits in response to 10 biofertilizer treatments in basil (Ocimum basiclicum) cultivated under hydroponic conditions. Multiple physiological (i.e. maximum photosynthesis rates (A), dark respiration (R), and leaf-level light compensation points) and morphological (i.e. leaf mass per area (LMA) and leaf thickness) traits varied significantly across microbial treatments. Following treatments, basil plants differentiated from one another along an infraspecific LES, with certain plants expressing more resource-acquiring LES trait values (i.e. high A, R, leaf N, and low LMA), versus others that expressed the opposite suite of resource-conserving LES trait values. Infraspecific trait covariation largely matched LES patterns observed among plants globally. Bivariate and multivariate trait analyses further revealed that certain treatments-namely those including closely related Bacillus and Brevibacillus species strains-increased leaf resource capture traits such as A and leaf N. Biofertilizers influence plant performance through a role in moderating infraspecific leaf trait variation, thereby suggesting aboveground leaf traits may be used to diagnose optimal biofertilizer formulations in basil and other crops.
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Affiliation(s)
- Adam R Martin
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Rachel O Mariani
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Patricia Dörr de Quadros
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Roberta R Fulthorpe
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
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Receveur A, Poulet L, Dalmas B, Gonçalves B, Vernay A. Citizen science: How to extend reciprocal benefits from the project community to the broader socio-ecological system. QUANTITATIVE PLANT BIOLOGY 2022; 3:e20. [PMID: 37077983 PMCID: PMC10095897 DOI: 10.1017/qpb.2022.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 06/13/2022] [Accepted: 08/24/2022] [Indexed: 05/02/2023]
Abstract
Quantitative plant biology is a growing field, thanks to the substantial progress of models and artificial intelligence dealing with big data. However, collecting large enough datasets is not always straightforward. The citizen science approach can multiply the workforce, hence helping the researchers with data collection and analysis, while also facilitating the spread of scientific knowledge and methods to volunteers. The reciprocal benefits go far beyond the project community: By empowering volunteers and increasing the robustness of scientific results, the scientific method spreads to the socio-ecological scale. This review aims to demonstrate that citizen science has a huge potential (i) for science with the development of different tools to collect and analyse much larger datasets, (ii) for volunteers by increasing their involvement in the project governance and (iii) for the socio-ecological system by increasing the share of the knowledge, thanks to a cascade effect and the help of 'facilitators'.
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Affiliation(s)
- Aurore Receveur
- OFP/FEMA, Pacific Community, 95 Promenade Roger Laroque, BP D5, 98848 Nouméa, New Caledonia, France
- CESAB-FRB, 5 Rue de l'École de Médecine, 34000, Montpellier
| | - Lucie Poulet
- Université Clermont Auvergne, Clermont Auvergne INP, CNRS, Institut Pascal, France
| | - Benjamin Dalmas
- Computer Research Institute of Montreal, Montreal, QC H3N 1M3, Canada
| | - Barbara Gonçalves
- Université Clermont Auvergne, Centre Michel de l'Hospital, F-63000 Clermont-Ferrand, France
| | - Antoine Vernay
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA, F-69622 Villeurbanne, France
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Rolhauser AG, Windfeld E, Hanson S, Wittman H, Thoreau C, Lyon A, Isaac ME. A trait-environment relationship approach to participatory plant breeding for organic agriculture. THE NEW PHYTOLOGIST 2022; 235:1018-1031. [PMID: 35510804 PMCID: PMC9322327 DOI: 10.1111/nph.18203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 04/23/2022] [Indexed: 06/14/2023]
Abstract
The extent of intraspecific variation in trait-environment relationships is an open question with limited empirical support in crops. In organic agriculture, with high environmental heterogeneity, this knowledge could guide breeding programs to optimize crop attributes. We propose a three-dimensional framework involving crop performance, crop traits, and environmental axes to uncover the multidimensionality of trait-environment relationships within a crop. We modeled instantaneous photosynthesis (Asat ) and water-use efficiency (WUE) as functions of four phenotypic traits, three soil variables, five carrot (Daucus carota) varieties, and their interactions in a national participatory plant breeding program involving a suite of farms across Canada. We used these interactions to describe the resulting 12 trait-environment relationships across varieties. We found one significant trait-environment relationship for Asat (taproot tissue density-soil phosphorus), which was consistent across varieties. For WUE, we found that three relationships (petiole diameter-soil nitrogen, petiole diameter-soil phosphorus, and leaf area-soil phosphorus) varied significantly across varieties. As a result, WUE was maximized by different combinations of trait values and soil conditions depending on the variety. Our three-dimensional framework supports the identification of functional traits behind the differential responses of crop varieties to environmental variation and thus guides breeding programs to optimize crop attributes from an eco-evolutionary perspective.
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Affiliation(s)
- Andrés G. Rolhauser
- Department of Physical and Environmental SciencesUniversity of Toronto ScarboroughTorontoONM1C 1A4Canada
- Departamento de Métodos Cuantitativos y Sistemas de InformaciónFacultad de AgronomíaUniversidad de Buenos AiresBuenos AiresC1417DSEArgentina
- Facultad de AgronomíaIFEVAUniversidad de Buenos AiresCONICETBuenos AiresC1417DSEArgentina
| | - Emma Windfeld
- Department of GeographyUniversity of TorontoTorontoONM5S 3G3Canada
- School of Public PolicySimpson CentreUniversity of CalgaryCalgaryABT2P 1H9Canada
| | - Solveig Hanson
- Center for Sustainable Food SystemsUniversity of British ColumbiaVancouverBCV6T 1Z2Canada
| | - Hannah Wittman
- Center for Sustainable Food SystemsUniversity of British ColumbiaVancouverBCV6T 1Z2Canada
| | - Chris Thoreau
- Center for Sustainable Food SystemsUniversity of British ColumbiaVancouverBCV6T 1Z2Canada
| | - Alexandra Lyon
- Center for Sustainable Food SystemsUniversity of British ColumbiaVancouverBCV6T 1Z2Canada
- Department of Sustainable Agriculture and Food SystemsKwantlen Polytechnic UniversityRichmondBCV6X 3X7Canada
| | - Marney E. Isaac
- Department of Physical and Environmental SciencesUniversity of Toronto ScarboroughTorontoONM1C 1A4Canada
- Department of GeographyUniversity of TorontoTorontoONM5S 3G3Canada
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Isaac ME, Nimmo V, Gaudin ACM, Leptin A, Schmidt JE, Kallenbach CM, Martin A, Entz M, Carkner M, Rajcan I, Boyle TD, Lu X. Crop Domestication, Root Trait Syndromes, and Soil Nutrient Acquisition in Organic Agroecosystems: A Systematic Review. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 2021. [DOI: 10.3389/fsufs.2021.716480] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Selecting crops that express certain reproductive, leaf, and root traits has formed detectable, albeit diverse, crop domestication syndromes. However, scientific and informal on-farm research has primarily focused on understanding and managing linkages between only certain domestication traits and yield. There is strong evidence suggesting that functional traits can be used to hypothesize and detect trade-offs, constraints, and synergies among crop yield and other aspects of crop biology and agroecosystem function. Comparisons in the functional traits of crops vs. wild plants has emerged as a critical avenue that has helped inform a better understanding of how plant domestication has reshaped relationships among yield and traits. For instance, recent research has shown domestication has led important economic crops to express extreme functional trait values among plants globally, with potentially major implications for yield stability, nutrient acquisition strategies, and the success of ecological nutrient management. Here, we present an evidence synthesis of domestication effects on crop root functional traits, and their hypothesized impact on nutrient acquisition strategies in organic and low input agroecosystems. Drawing on global trait databases and published datasets, we show detectable shifts in root trait strategies with domestication. Relationships between domestication syndromes in root traits and nutrient acquisition strategies in low input systems underscores the need for a shift in breeding paradigms for organic agriculture. This is increasingly important given efforts to achieve Sustainable Development Goal (SDG) targets of Zero Hunger via resilient agriculture practices such as ecological nutrient management and maintenance of genetic diversity.
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Martin AR, Isaac ME. The leaf economics spectrum's morning coffee: plant size-dependent changes in leaf traits and reproductive onset in a perennial tree crop. ANNALS OF BOTANY 2021; 127:483-493. [PMID: 33502446 PMCID: PMC7988517 DOI: 10.1093/aob/mcaa199] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 01/20/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND AND AIMS Size-dependent changes in plant traits are an important source of intraspecific trait variation. However, there are few studies that have tested if leaf trait co-variation and/or trade-offs follow a within-genotype leaf economics spectrum (LES) related to plant size and reproductive onset. To our knowledge, there are no studies on any plant species that have tested whether or not the shape of a within-genotype LES that describes how traits covary across whole plant sizes, is the same as the shape of a within-genotype LES that represents environmentally driven trait plasticity. METHODS We quantified size-dependent variation in eight leaf traits in a single coffee genotype (Coffea arabica var. Caturra) in managed agroecosystems with different environmental conditions (light and fertilization treatments), and evaluated these patterns with respect to reproductive onset. We also evaluated if trait covariation along a within-genotype plant-size LES differed from a within-genotype environmental LES defined with trait data from coffee growing in different environmental conditions. KEY RESULTS Leaf economics traits related to resource acquisition - maximum photosynthetic rates (A) and mass-based leaf nitrogen (N) concentrations - declined linearly with plant size. Structural traits - leaf mass, leaf thickness, and leaf mass per unit area (LMA) - and leaf area increased with plant size beyond reproductive onset, then declined in larger plants. Three primary LES traits (mass-based A, leaf N and LMA) covaried across a within-genotype plant-size LES, with plants moving towards the 'resource-conserving' end of the LES as they grow larger; in coffee these patterns were nearly identical to a within-genotype environmental LES. CONCLUSIONS Our results demonstrate that a plant-size LES exists within a single genotype. Our findings indicate that in managed agroecosystems where resource availability is high the role of reproductive onset in driving within-genotype trait variability, and the strength of covariation and trade-offs among LES traits, are less pronounced compared with plants in natural systems. The consistency in trait covariation in coffee along both plant-size and environmental LES axes indicates strong constraints on leaf form and function that exist within plant genotypes.
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Affiliation(s)
- Adam R Martin
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Military Trail, Toronto, Canada
| | - Marney E Isaac
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Military Trail, Toronto, Canada
- Centre for Critical Development Studies, University of Toronto Scarborough, Military Trail, Toronto, Canada
- Department of Geography, University of Toronto, Toronto, Canada
- For correspondence. E-mail
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