Zachary N Harris1,2, Mani Awale3, Niyati Bhakta1,2, Daniel H Chitwood4,5, Anne Fennell6, Emma Frawley1,2, Laura L Klein1,2, Laszlo G Kovacs7, Misha Kwasniewski3, Jason P Londo8, Qin Ma9, Zoë Migicovsky10, Joel F Swift1,2, Allison J Miller1,2. 1. Department of Biology, Saint Louis University, 3507 Laclede Avenue, St. Louis, MO 63103-2010, USA. 2. Donald Danforth Plant Science Center, 975 N. Warson Road, St. Louis, MO 63132-2918, USA. 3. Division of Plant Sciences, University of Missouri, 135 Eckles Hall, Columbia, MO 65211, USA. 4. Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA. 5. Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI 48824, USA. 6. Department of Agronomy, Horticulture & Plant Science, South Dakota State University, Brookings, SD 57006, USA. 7. Department of Biology, Missouri State University, 901 S. National Avenue, Springfield, MO 65897, USA. 8. Grape Genetics Research Unit, United States Department of Agriculture - Agricultural Research Service, Geneva, NY, 14456, USA. 9. Department of Biomedical Informatics, The Ohio State University, 1585 Neil Ave, Columbus, OH 43210, USA. 10. Department of Plant, Food, and Environmental Sciences, Faculty of Agriculture, Dalhousie University, Truro, NS B2N 5E3, Canada.
Abstract
BACKGROUND: Modern biological approaches generate volumes of multi-dimensional data, offering unprecedented opportunities to address biological questions previously beyond reach owing to small or subtle effects. A fundamental question in plant biology is the extent to which below-ground activity in the root system influences above-ground phenotypes expressed in the shoot system. Grafting, an ancient horticultural practice that fuses the root system of one individual (the rootstock) with the shoot system of a second, genetically distinct individual (the scion), is a powerful experimental system to understand below-ground effects on above-ground phenotypes. Previous studies on grafted grapevines have detected rootstock influence on scion phenotypes including physiology and berry chemistry. However, the extent of the rootstock's influence on leaves, the photosynthetic engines of the vine, and how those effects change over the course of a growing season, are still largely unknown. RESULTS: Here, we investigate associations between rootstock genotype and shoot system phenotypes using 5 multi-dimensional leaf phenotyping modalities measured in a common grafted scion: ionomics, metabolomics, transcriptomics, morphometrics, and physiology. Rootstock influence is ubiquitous but subtle across modalities, with the strongest signature of rootstock observed in the leaf ionome. Moreover, we find that the extent of rootstock influence on scion phenotypes and patterns of phenomic covariation are highly dynamic across the season. CONCLUSIONS: These findings substantially expand previously identified patterns to demonstrate that rootstock influence on scion phenotypes is complex and dynamic and underscore that broad understanding necessitates volumes of multi-dimensional data previously unmet.
BACKGROUND: Modern biological approaches generate volumes of multi-dimensional data, offering unprecedented opportunities to address biological questions previously beyond reach owing to small or subtle effects. A fundamental question in plant biology is the extent to which below-ground activity in the root system influences above-ground phenotypes expressed in the shoot system. Grafting, an ancient horticultural practice that fuses the root system of one individual (the rootstock) with the shoot system of a second, genetically distinct individual (the scion), is a powerful experimental system to understand below-ground effects on above-ground phenotypes. Previous studies on grafted grapevines have detected rootstock influence on scion phenotypes including physiology and berry chemistry. However, the extent of the rootstock's influence on leaves, the photosynthetic engines of the vine, and how those effects change over the course of a growing season, are still largely unknown. RESULTS: Here, we investigate associations between rootstock genotype and shoot system phenotypes using 5 multi-dimensional leaf phenotyping modalities measured in a common grafted scion: ionomics, metabolomics, transcriptomics, morphometrics, and physiology. Rootstock influence is ubiquitous but subtle across modalities, with the strongest signature of rootstock observed in the leaf ionome. Moreover, we find that the extent of rootstock influence on scion phenotypes and patterns of phenomic covariation are highly dynamic across the season. CONCLUSIONS: These findings substantially expand previously identified patterns to demonstrate that rootstock influence on scion phenotypes is complex and dynamic and underscore that broad understanding necessitates volumes of multi-dimensional data previously unmet.
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Authors: Zachary N Harris; Julia E Pratt; Niyati Bhakta; Emma Frawley; Laura L Klein; Misha T Kwasniewski; Zoë Migicovsky; Allison J Miller Journal: Plant Direct Date: 2022-08-19
Authors: Zoë Migicovsky; Joel F Swift; Zachary Helget; Laura L Klein; Anh Ly; Matthew Maimaitiyiming; Karoline Woodhouse; Anne Fennell; Misha Kwasniewski; Allison J Miller; Peter Cousins; Daniel H Chitwood Journal: Am J Bot Date: 2022-07-19 Impact factor: 3.325