TY - JOUR
T1 - Rhizosphere Spatiotemporal Organization–A Key to Rhizosphere Functions
AU - Vetterlein, Doris
AU - Carminati, Andrea
AU - Kögel-Knabner, Ingrid
AU - Bienert, Gerd Patrick
AU - Smalla, Kornelia
AU - Oburger, Eva
AU - Schnepf, Andrea
AU - Banitz, Thomas
AU - Tarkka, Mika Tapio
AU - Schlüter, Steffen
N1 - Publisher Copyright:
Copyright © 2020 Vetterlein, Carminati, Kögel-Knabner, Bienert, Smalla, Oburger, Schnepf, Banitz, Tarkka and Schlüter.
PY - 2020/7/28
Y1 - 2020/7/28
N2 - Resilience of soils, i.e., their ability to maintain functions or recover after disturbance, is closely linked to the root-soil interface, the soil's power house. However, the limited observability of key processes at the root-soil interface has so far limited our understanding of how such resilience emerges. Here, we hypothesize that resilience emerges from self-organized spatiotemporal patterns which are the result of complex and dynamic feedbacks between physical, chemical, and biological processes occurring in the rhizosphere. We propose that the combination of modern experimental and modeling techniques, with a focus on imaging approaches, allows for understanding the complex feedbacks between plant resource acquisition, microbiome-related plant health, soil carbon sequestration, and soil structure development. A prerequisite for the identification of patterns, underlying processes, and feedback loops is that joint experimental platforms are defined and investigated in their true 2D and 3D geometry along time. This applies across different scientific disciplines from soil physics/chemistry/microbiology to plant genomics/physiology and across different scales from the nano/microscopic scale of the root soil interface, over the radial profiles around single roots, up to the root architecture and plant scale. Thus, we can move beyond isolated reductionist approaches which have dominated in rhizosphere research so far.
AB - Resilience of soils, i.e., their ability to maintain functions or recover after disturbance, is closely linked to the root-soil interface, the soil's power house. However, the limited observability of key processes at the root-soil interface has so far limited our understanding of how such resilience emerges. Here, we hypothesize that resilience emerges from self-organized spatiotemporal patterns which are the result of complex and dynamic feedbacks between physical, chemical, and biological processes occurring in the rhizosphere. We propose that the combination of modern experimental and modeling techniques, with a focus on imaging approaches, allows for understanding the complex feedbacks between plant resource acquisition, microbiome-related plant health, soil carbon sequestration, and soil structure development. A prerequisite for the identification of patterns, underlying processes, and feedback loops is that joint experimental platforms are defined and investigated in their true 2D and 3D geometry along time. This applies across different scientific disciplines from soil physics/chemistry/microbiology to plant genomics/physiology and across different scales from the nano/microscopic scale of the root soil interface, over the radial profiles around single roots, up to the root architecture and plant scale. Thus, we can move beyond isolated reductionist approaches which have dominated in rhizosphere research so far.
KW - maize
KW - nutrient acquisition
KW - pattern analyses
KW - resilience
KW - resource efficiency
KW - root
KW - self-organization
KW - soil structure
UR - http://www.scopus.com/inward/record.url?scp=85089135725&partnerID=8YFLogxK
U2 - 10.3389/fagro.2020.00008
DO - 10.3389/fagro.2020.00008
M3 - Review article
AN - SCOPUS:85089135725
SN - 2673-3218
VL - 2
JO - Frontiers in Agronomy
JF - Frontiers in Agronomy
M1 - 8
ER -