Background and Aims: Roots facilitate acquisition of macro- and micronutrients, which are crucial for plant productivity and anchorage in the soil. Phosphorus (P) is rapidly immobilized in the soil and hardly available for plants. Adaptation to P scarcity relies on changes in root morphology towards rooting systems well suited for topsoil foraging. Root-system architecture (RSA) defines the spatial organization of the network comprising primary, lateral and stem-derived roots and is important for adaptation to stress conditions. RSA phenotyping is a challenging task and essential for understanding root development. Methods: In this study, 19 traits describing RSA were analysed in a diversity panel comprising 194 sorghum genotypes, fingerprinted with a 90-k single-nucleotide polymorphism (SNP) array and grown under low and high P availability. Key Results: Multivariate analysis was conducted and revealed three different RSA types: (1) a small root system; (2) a compact and bushy rooting type; and (3) an exploratory root system, which might benefit plant growth and development if water, nitrogen (N) or P availability is limited. While several genotypes displayed similar rooting types in different environments, others responded to P scarcity positively by developing more exploratory root systems, or negatively with root growth suppression. Genome-wide association studies revealed significant quantitative trait loci (P < 2.9 × 10-6) on chromosomes SBI-02, SBI-03, SBI-05 and SBI-09. Co-localization of significant and suggestive (P < 5.7 × 10-5) associations for several traits indicated hotspots controlling root-system development on chromosomes SBI-02 and SBI-03. Conclusions: Sorghum genotypes with a compact, bushy and shallow root system provide potential adaptation to P scarcity in the field by allowing thorough topsoil foraging, while genotypes with an exploratory root system may be advantageous if N or water is the limiting factor, although such genotypes showed highest P uptake levels under the artificial conditions of the present study.
Background and Aims: Roots facilitate acquisition of macro- and micronutrients, which are crucial for plant productivity and anchorage in the soil. Phosphorus (P) is rapidly immobilized in the soil and hardly available for plants. Adaptation to P scarcity relies on changes in root morphology towards rooting systems well suited for topsoil foraging. Root-system architecture (RSA) defines the spatial organization of the network comprising primary, lateral and stem-derived roots and is important for adaptation to stress conditions. RSA phenotyping is a challenging task and essential for understanding root development. Methods: In this study, 19 traits describing RSA were analysed in a diversity panel comprising 194 sorghum genotypes, fingerprinted with a 90-k single-nucleotide polymorphism (SNP) array and grown under low and high P availability. Key Results: Multivariate analysis was conducted and revealed three different RSA types: (1) a small root system; (2) a compact and bushy rooting type; and (3) an exploratory root system, which might benefit plant growth and development if water, nitrogen (N) or P availability is limited. While several genotypes displayed similar rooting types in different environments, others responded to P scarcity positively by developing more exploratory root systems, or negatively with root growth suppression. Genome-wide association studies revealed significant quantitative trait loci (P < 2.9 × 10-6) on chromosomes SBI-02, SBI-03, SBI-05 and SBI-09. Co-localization of significant and suggestive (P < 5.7 × 10-5) associations for several traits indicated hotspots controlling root-system development on chromosomes SBI-02 and SBI-03. Conclusions: Sorghum genotypes with a compact, bushy and shallow root system provide potential adaptation to P scarcity in the field by allowing thorough topsoil foraging, while genotypes with an exploratory root system may be advantageous if N or water is the limiting factor, although such genotypes showed highest P uptake levels under the artificial conditions of the present study.
Authors: Geoffrey P Morris; Punna Ramu; Santosh P Deshpande; C Thomas Hash; Trushar Shah; Hari D Upadhyaya; Oscar Riera-Lizarazu; Patrick J Brown; Charlotte B Acharya; Sharon E Mitchell; James Harriman; Jeffrey C Glaubitz; Edward S Buckler; Stephen Kresovich Journal: Proc Natl Acad Sci U S A Date: 2012-12-24 Impact factor: 11.205
Authors: Taras Galkovskyi; Yuriy Mileyko; Alexander Bucksch; Brad Moore; Olga Symonova; Charles A Price; Christopher N Topp; Anjali S Iyer-Pascuzzi; Paul R Zurek; Suqin Fang; John Harer; Philip N Benfey; Joshua S Weitz Journal: BMC Plant Biol Date: 2012-07-26 Impact factor: 4.215
Authors: G Taylor; I S Donnison; D Murphy-Bokern; M Morgante; M-B Bogeat-Triboulot; R Bhalerao; M Hertzberg; A Polle; A Harfouche; F Alasia; V Petoussi; D Trebbi; K Schwarz; J J B Keurentjes; M Centritto; B Genty; J Flexas; E Grill; S Salvi; W J Davies Journal: Ann Bot Date: 2019-10-29 Impact factor: 4.357
Authors: Karine C Bernardino; Cícero B de Menezes; Sylvia M de Sousa; Claudia T Guimarães; Pedro C S Carneiro; Robert E Schaffert; Leon V Kochian; Barbara Hufnagel; Maria Marta Pastina; Jurandir V Magalhaes Journal: Theor Appl Genet Date: 2020-10-14 Impact factor: 5.699