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Ramírez-Sánchez D, Gibelin-Viala C, Roux F, Vailleau F. Genetic architecture of the response of Arabidopsis thaliana to a native plant-growth-promoting bacterial strain. FRONTIERS IN PLANT SCIENCE 2023; 14:1266032. [PMID: 38023938 PMCID: PMC10665851 DOI: 10.3389/fpls.2023.1266032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023]
Abstract
By improving plant nutrition and alleviating abiotic and biotic stresses, plant growth-promoting bacteria (PGPB) can help to develop eco-friendly and sustainable agricultural practices. Besides climatic conditions, soil conditions, and microbe-microbe interactions, the host genotype influences the effectiveness of PGPB. Yet, most GWAS conducted to characterize the genetic architecture of response to PGPB are based on non-native interactions between a host plant and PGPB strains isolated from the belowground compartment of other plants. In this study, a GWAS was set up under in vitro conditions to describe the genetic architecture of the response of Arabidopsis thaliana to the PGPB Pseudomonas siliginis, by inoculating seeds of 162 natural accessions from the southwest of France with one strain isolated from the leaf compartment in the same geographical region. Strong genetic variation of plant growth response to this native PGPB was observed at a regional scale, with the strain having a positive effect on the vegetative growth of small plants and a negative effect on the vegetative growth of large plants. The polygenic genetic architecture underlying this negative trade-off showed suggestive signatures of local adaptation. The main eco-evolutionary relevant candidate genes are involved in seed and root development.
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Demirjian C, Vailleau F, Berthomé R, Roux F. Genome-wide association studies in plant pathosystems: success or failure? TRENDS IN PLANT SCIENCE 2023; 28:471-485. [PMID: 36522258 DOI: 10.1016/j.tplants.2022.11.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 10/28/2022] [Accepted: 11/16/2022] [Indexed: 06/17/2023]
Abstract
Harnessing natural genetic variation is an established alternative to artificial genetic variation for investigating the molecular dialog between partners in plant pathosystems. Herein, we review the successes of genome-wide association studies (GWAS) in both plants and pathogens. While GWAS in plants confirmed that the genetic architecture of disease resistance is polygenic, dynamic during the infection kinetics, and dependent on the environment, GWAS shortened the time of identification of quantitative trait loci (QTLs) and revealed both complex epistatic networks and a genetic architecture dependent upon the geographical scale. A similar picture emerges from the few GWAS in pathogens. In addition, the ever-increasing number of functionally validated QTLs has revealed new molecular plant defense mechanisms and pathogenicity determinants. Finally, we propose recommendations to better decode the disease triangle.
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Affiliation(s)
- Choghag Demirjian
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | - Fabienne Vailleau
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | - Richard Berthomé
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | - Fabrice Roux
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France.
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Frachon L, Arrigo L, Rusman Q, Poveda L, Qi W, Scopece G, Schiestl FP. Putative Signals of Generalist Plant Species Adaptation to Local Pollinator Communities and Abiotic Factors. Mol Biol Evol 2023; 40:7043265. [PMID: 36795638 PMCID: PMC10015620 DOI: 10.1093/molbev/msad036] [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: 08/08/2022] [Revised: 01/31/2023] [Accepted: 02/08/2023] [Indexed: 02/17/2023] Open
Abstract
The reproductive success of flowering plants with generalized pollination systems is influenced by interactions with a diverse pollinator community and abiotic factors. However, knowledge about the adaptative potential of plants to complex ecological networks and the underlying genetic mechanisms is still limited. Based on a pool-sequencing approach of 21 natural populations of Brassica incana in Southern Italy, we combined a genome-environmental association analysis with a genome scan for signals of population genomic differentiation to discover genetic variants associated with the ecological variation. We identified genomic regions putatively involved in the adaptation of B. incana to the identity of local pollinator functional categories and pollinator community composition. Interestingly, we observed several shared candidate genes associated with long-tongue bees, soil texture, and temperature variation. We established a genomic map of potential generalist flowering plant local adaptation to complex biotic interactions, and the importance of considering multiple environmental factors to describe the adaptive landscape of plant populations.
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Affiliation(s)
| | - Luca Arrigo
- Department of Systematic and Evolutionary Botany, University of Zurich, Zurich, Switzerland
| | - Quint Rusman
- Department of Systematic and Evolutionary Botany, University of Zurich, Zurich, Switzerland
| | - Lucy Poveda
- Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Zurich, Switzerland
| | - Weihong Qi
- Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Zurich, Switzerland
- SIB Swiss Institute of Bioinformatics, 1202 Geneva, Switzerland
| | - Giovanni Scopece
- Department of Biology, University of Naples Federico II, Complesso Universitario MSA, Naples, Italy
- NBFC: National Biodiversity Future Center, Palermo 90133, Italy
| | - Florian P Schiestl
- Department of Systematic and Evolutionary Botany, University of Zurich, Zurich, Switzerland
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Becker C, Berthomé R, Delavault P, Flutre T, Fréville H, Gibot-Leclerc S, Le Corre V, Morel JB, Moutier N, Muños S, Richard-Molard C, Westwood J, Courty PE, de Saint Germain A, Louarn G, Roux F. The ecologically relevant genetics of plant-plant interactions. TRENDS IN PLANT SCIENCE 2023; 28:31-42. [PMID: 36114125 DOI: 10.1016/j.tplants.2022.08.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 08/03/2022] [Accepted: 08/19/2022] [Indexed: 06/15/2023]
Abstract
Interactions among plants have been long recognized as a major force driving plant community dynamics and crop yield. Surprisingly, our knowledge of the ecological genetics associated with variation of plant-plant interactions remains limited. In this opinion article by scientists from complementary disciplines, the international PLANTCOM network identified four timely questions to foster a better understanding of the mechanisms mediating plant assemblages. We propose that by identifying the key relationships among phenotypic traits involved in plant-plant interactions and the underlying adaptive genetic and molecular pathways, while considering environmental fluctuations at diverse spatial and time scales, we can improve predictions of genotype-by-genotype-by-environment interactions and modeling of productive and stable plant assemblages in wild habitats and crop fields.
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Affiliation(s)
- Claude Becker
- Genetics, Faculty of Biology, Ludwig Maximilians-University, 82152 Martinsried, Germany
| | - Richard Berthomé
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | | | - Timothée Flutre
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, UMR GQE-Le Moulon, 91190 Gif-sur-Yvette, France
| | - Hélène Fréville
- AGAP, Université Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Stéphanie Gibot-Leclerc
- Agroécologie, INRAE, Institut Agro, Université du Bourgogne, Université Bourgogne-Franche-Comté, F-21000 Dijon, France
| | - Valérie Le Corre
- Agroécologie, INRAE, Institut Agro, Université du Bourgogne, Université Bourgogne-Franche-Comté, F-21000 Dijon, France
| | - Jean-Benoit Morel
- PHIM Plant Health Institute, Université Montpellier, INRAE, CIRAD, Institut Agro, IRD, Montpellier, France
| | - Nathalie Moutier
- Institute for Genetics, Environment and Plant Protection (IGEPP), INRAE, Institut Agro, Université Rennes 1, 35650 Le Rheu, France
| | - Stéphane Muños
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
| | - Céline Richard-Molard
- Université Paris-Saclay, INRAE, AgroParisTech, UMR EcoSys, 78850 Thiverval-Grignon, France
| | - James Westwood
- School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, USA
| | - Pierre-Emmanuel Courty
- Agroécologie, INRAE, Institut Agro, Université du Bourgogne, Université Bourgogne-Franche-Comté, F-21000 Dijon, France
| | - Alexandre de Saint Germain
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), 78000 Versailles, France
| | | | - Fabrice Roux
- LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France.
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McGale E, Sanders IR. Integrating plant and fungal quantitative genetics to improve the ecological and agricultural applications of mycorrhizal symbioses. Curr Opin Microbiol 2022; 70:102205. [PMID: 36201974 DOI: 10.1016/j.mib.2022.102205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/12/2022] [Accepted: 08/18/2022] [Indexed: 01/25/2023]
Abstract
Finding and targeting genes that quantitatively contribute to agricultural and ecological processes progresses food production and conservation efforts. Typically, quantitative genetic approaches link variants in a single organism's genome with a trait of interest. Recently, genome-to-genome mapping has found genome variants interacting between species to produce the result of a multiorganism (including multikingdom) interaction. These were plant and bacterial pathogen genome interactions; plant-fungal coquantitative genetics have not yet been applied. Plant-mycorrhizae symbioses exist across most biomes, for a majority of land plants, including crop plants, and manipulate many traits from single organisms to ecosystems for which knowing the genetic basis would be useful. The availability of Rhizophagus irregularis mycorrhizal isolates, with genomic information, makes dual-genome methods with beneficial mutualists accessible and imminent.
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Affiliation(s)
- Erica McGale
- Department of Ecology and Evolution, Biophore Building, University of Lausanne, 1015 Lausanne, Switzerland
| | - Ian R Sanders
- Department of Ecology and Evolution, Biophore Building, University of Lausanne, 1015 Lausanne, Switzerland.
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A Genome-Wide Association study in Arabidopsis thaliana to decipher the adaptive genetics of quantitative disease resistance in a native heterogeneous environment. PLoS One 2022; 17:e0274561. [PMID: 36190949 PMCID: PMC9529085 DOI: 10.1371/journal.pone.0274561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 08/31/2022] [Indexed: 11/05/2022] Open
Abstract
Pathogens are often the main selective agents acting in plant communities, thereby influencing the distribution of polymorphism at loci affecting resistance within and among natural plant populations. In addition, the outcome of plant-pathogen interactions can be drastically affected by abiotic and biotic factors at different spatial and temporal grains. The characterization of the adaptive genetic architecture of disease resistance in native heterogeneous environments is however still missing. In this study, we conducted an in situ Genome-Wide Association study in the spatially heterogeneous native habitat of a highly genetically polymorphic local mapping population of Arabidopsis thaliana, to unravel the adaptive genetic architecture of quantitative disease resistance. Disease resistance largely differed among three native soils and was affected by the presence of the grass Poa annua. The observation of strong crossing reactions norms among the 195 A. thaliana genotypes for disease resistance among micro-habitats, combined with a negative fecundity-disease resistance relationship in each micro-habitat, suggest that alternative local genotypes of A. thaliana are favored under contrasting environmental conditions at the scale of few meters. A complex genetic architecture was detected for disease resistance and fecundity. However, only few QTLs were common between these two traits. Heterogeneous selection in this local population should therefore promote the maintenance of polymorphism at only few candidate resistance genes.
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