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Abstract
In plant communities, diversity often increases productivity and functioning, but the specific underlying drivers are difficult to identify. Most ecological theories attribute positive diversity effects to complementary niches occupied by different species or genotypes. However, the specific nature of niche complementarity often remains unclear, including how it is expressed in terms of trait differences between plants. Here, we use a gene-centred approach to study positive diversity effects in mixtures of natural Arabidopsis thaliana genotypes. Using two orthogonal genetic mapping approaches, we find that between-plant allelic differences at the AtSUC8 locus are strongly associated with mixture overyielding. AtSUC8 encodes a proton-sucrose symporter and is expressed in root tissues. Genetic variation in AtSUC8 affects the biochemical activities of protein variants and natural variation at this locus is associated with different sensitivities of root growth to changes in substrate pH. We thus speculate that - in the particular case studied here - evolutionary divergence along an edaphic gradient resulted in the niche complementarity between genotypes that now drives overyielding in mixtures. Identifying genes important for ecosystem functioning may ultimately allow linking ecological processes to evolutionary drivers, help identify traits underlying positive diversity effects, and facilitate the development of high-performance crop variety mixtures.
Biodiversity often increases the functioning and productivity of ecosystems or communities. This work shows that such a positive diversity effect, namely overyielding in mixtures of two divergent Arabidopsis thaliana genotypes, can be genetically mapped and resolved to a single gene.
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1 University of Zurich, Department of Evolutionary Biology and Environmental Studies and Zurich-Basel Plant Science Center, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650); University of Zurich, Department of Plant and Microbial Biology and Zurich-Basel Plant Science Center, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650); University of Zurich, Department of Geography, Remote Sensing Laboratories, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650); Agroscope, Group Breeding Research, Waedenswil, Switzerland (GRID:grid.417771.3) (ISNI:0000 0004 4681 910X)
2 Technical University of Munich, Plant Systems Biology, School of Life Sciences, Freising, Germany (GRID:grid.6936.a) (ISNI:0000000123222966)
3 University of Lausanne, Biophore Building, Department of Plant Molecular Biology, Lausanne, Switzerland (GRID:grid.9851.5) (ISNI:0000 0001 2165 4204); John Innes Centre, Norwich Research Park, Colney Ln, Department of Crop Genetics, Norwich, United Kingdom (GRID:grid.14830.3e) (ISNI:0000 0001 2175 7246)
4 University of Zurich, Department of Evolutionary Biology and Environmental Studies and Zurich-Basel Plant Science Center, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650)
5 University of Zurich, Department of Systematic and Evolutionary Botany, Zürich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650)
6 University of Zurich, Department of Plant and Microbial Biology and Zurich-Basel Plant Science Center, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650)
7 University of Lausanne, Biophore Building, Department of Plant Molecular Biology, Lausanne, Switzerland (GRID:grid.9851.5) (ISNI:0000 0001 2165 4204)
8 University of Zurich, Department of Evolutionary Biology and Environmental Studies and Zurich-Basel Plant Science Center, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650); University of Zurich, Department of Geography, Remote Sensing Laboratories, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650)