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Voothuluru P, Wu Y, Sharp RE. Not so hidden anymore: Advances and challenges in understanding root growth under water deficits. THE PLANT CELL 2024; 36:1377-1409. [PMID: 38382086 PMCID: PMC11062450 DOI: 10.1093/plcell/koae055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/09/2024] [Accepted: 02/15/2024] [Indexed: 02/23/2024]
Abstract
Limited water availability is a major environmental factor constraining plant development and crop yields. One of the prominent adaptations of plants to water deficits is the maintenance of root growth that enables sustained access to soil water. Despite early recognition of the adaptive significance of root growth maintenance under water deficits, progress in understanding has been hampered by the inherent complexity of root systems and their interactions with the soil environment. We highlight selected milestones in the understanding of root growth responses to water deficits, with emphasis on founding studies that have shaped current knowledge and set the stage for further investigation. We revisit the concept of integrated biophysical and metabolic regulation of plant growth and use this framework to review central growth-regulatory processes occurring within root growth zones under water stress at subcellular to organ scales. Key topics include the primary processes of modifications of cell wall-yielding properties and osmotic adjustment, as well as regulatory roles of abscisic acid and its interactions with other hormones. We include consideration of long-recognized responses for which detailed mechanistic understanding has been elusive until recently, for example hydrotropism, and identify gaps in knowledge, ongoing challenges, and opportunities for future research.
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Affiliation(s)
- Priya Voothuluru
- Division of Plant Science and Technology, University of Missouri, Columbia, MO 65211, USA
- Interdisciplinary Plant Group, University of Missouri, Columbia, MO 65211, USA
| | - Yajun Wu
- Department of Biology and Microbiology, South Dakota State University, Brookings, SD 57007, USA
| | - Robert E Sharp
- Division of Plant Science and Technology, University of Missouri, Columbia, MO 65211, USA
- Interdisciplinary Plant Group, University of Missouri, Columbia, MO 65211, USA
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2
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Henry AR, Miller ND, Spalding EP. QTL for the Kinematic Traits That Define the Arabidopsis Root Elongation Zone and Their Relationship to Gravitropism. PLANTS (BASEL, SWITZERLAND) 2024; 13:1189. [PMID: 38732404 PMCID: PMC11085590 DOI: 10.3390/plants13091189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 04/19/2024] [Accepted: 04/22/2024] [Indexed: 05/13/2024]
Abstract
Cell expansion in a discrete region called the elongation zone drives root elongation. Analyzing time lapse images can quantify the expansion in kinematic terms as if it were fluid flow. We used horizontal microscopes to collect images from which custom software extracted the length of the elongation zone, the peak relative elemental growth rate (REGR) within it, the axial position of the REGR peak, and the root elongation rate. Automation enabled these kinematic traits to be measured in 1575 Arabidopsis seedlings representing 162 recombinant inbred lines (RILs) derived from a cross of Cvi and Ler ecotypes. We mapped ten quantitative trait loci (QTL), affecting the four kinematic traits. Three QTL affected two or more traits in these vertically oriented seedlings. We compared this genetic architecture with that previously determined for gravitropism using the same RIL population. The major QTL peaks for the kinematic traits did not overlap with the gravitropism QTL. Furthermore, no single kinematic trait correlated with quantitative descriptors of the gravitropism response curve across this population. In addition to mapping QTL for growth zone traits, this study showed that the size and shape of the elongation zone may vary widely without affecting the differential growth induced by gravity.
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Affiliation(s)
| | | | - Edgar P. Spalding
- Department of Botany, University of Wisconsin, Madison, WI 53706, USA; (A.R.H.); (N.D.M.)
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3
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Henry AR, Miller ND, Spalding EP. Patch Track Software for Measuring Kinematic Phenotypes of Arabidopsis Roots Demonstrated on Auxin Transport Mutants. Int J Mol Sci 2023; 24:16475. [PMID: 38003665 PMCID: PMC10671601 DOI: 10.3390/ijms242216475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/14/2023] [Accepted: 11/16/2023] [Indexed: 11/26/2023] Open
Abstract
Plant roots elongate when cells produced in the apical meristem enter a transient period of rapid expansion. To measure the dynamic process of root cell expansion in the elongation zone, we captured digital images of growing Arabidopsis roots with horizontal microscopes and analyzed them with a custom image analysis program (PatchTrack) designed to track the growth-driven displacement of many closely spaced image patches. Fitting a flexible logistics equation to patch velocities plotted versus position along the root axis produced the length of the elongation zone (mm), peak relative elemental growth rate (% h-1), the axial position of the peak (mm from the tip), and average root elongation rate (mm h-1). For a wild-type root, the average values of these kinematic traits were 0.52 mm, 23.7% h-1, 0.35 mm, and 0.1 mm h-1, respectively. We used the platform to determine the kinematic phenotypes of auxin transport mutants. The results support a model in which the PIN2 auxin transporter creates an area of expansion-suppressing, supraoptimal auxin concentration that ends 0.1 mm from the quiescent center (QC), and that ABCB4 and ABCB19 auxin transporters maintain expansion-limiting suboptimal auxin levels beginning approximately 0.5 mm from the QC. This study shows that PatchTrack can quantify dynamic root phenotypes in kinematic terms.
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Affiliation(s)
| | | | - Edgar P. Spalding
- Department of Botany, University of Wisconsin, Madison, WI 53706, USA (N.D.M.)
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4
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García-Gómez ML, Reyes-Hernández BJ, Sahoo DP, Napsucialy-Mendivil S, Quintana-Armas AX, Pedroza-García JA, Shishkova S, Torres-Martínez HH, Pacheco-Escobedo MA, Dubrovsky JG. A mutation in THREONINE SYNTHASE 1 uncouples proliferation and transition domains of the root apical meristem: experimental evidence and in silico proposed mechanism. Development 2022; 149:278438. [PMID: 36278862 PMCID: PMC9796171 DOI: 10.1242/dev.200899] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 10/10/2022] [Indexed: 11/11/2022]
Abstract
A continuum from stem to transit-amplifying to a differentiated cell state is a common theme in multicellular organisms. In the plant root apical meristem (RAM), transit-amplifying cells are organized into two domains: cells from the proliferation domain (PD) are displaced to the transition domain (TD), suggesting that both domains are necessarily coupled. Here, we show that in the Arabidopsis thaliana mto2-2 mutant, in which threonine (Thr) synthesis is affected, the RAM lacks the PD. Through a combination of cell length profile analysis, mathematical modeling and molecular markers, we establish that the PD and TD can be uncoupled. Remarkably, although the RAM of mto2-2 is represented solely by the TD, the known factors of RAM maintenance and auxin signaling are expressed in the mutant. Mathematical modeling predicts that the stem cell niche depends on Thr metabolism and that, when disturbed, the normal continuum of cell states becomes aborted.
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Affiliation(s)
- Monica L. García-Gómez
- Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Av. Universidad, 2001, Cuernavaca 62250, Mexico
| | - Blanca J. Reyes-Hernández
- Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Av. Universidad, 2001, Cuernavaca 62250, Mexico
| | - Debee P. Sahoo
- Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Av. Universidad, 2001, Cuernavaca 62250, Mexico
| | - Selene Napsucialy-Mendivil
- Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Av. Universidad, 2001, Cuernavaca 62250, Mexico
| | - Aranza X. Quintana-Armas
- Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Av. Universidad, 2001, Cuernavaca 62250, Mexico
| | - José A. Pedroza-García
- Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Av. Universidad, 2001, Cuernavaca 62250, Mexico
| | - Svetlana Shishkova
- Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Av. Universidad, 2001, Cuernavaca 62250, Mexico
| | - Héctor H. Torres-Martínez
- Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Av. Universidad, 2001, Cuernavaca 62250, Mexico
| | - Mario A. Pacheco-Escobedo
- Facultad de Ciencias de la Salud, Universidad Tecnológica de México – UNITEC MÉXICO – Campus Atizapán, Av. Calacoaya 7, Atizapán de Zaragoza, Estado de México, 52970, Mexico
| | - Joseph G. Dubrovsky
- Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México (UNAM), Av. Universidad, 2001, Cuernavaca 62250, Mexico,Author for correspondence ()
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5
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Li A, Zhu L, Xu W, Liu L, Teng G. Recent advances in methods for in situ root phenotyping. PeerJ 2022; 10:e13638. [PMID: 35795176 PMCID: PMC9252182 DOI: 10.7717/peerj.13638] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/06/2022] [Indexed: 01/17/2023] Open
Abstract
Roots assist plants in absorbing water and nutrients from soil. Thus, they are vital to the survival of nearly all land plants, considering that plants cannot move to seek optimal environmental conditions. Crop species with optimal root system are essential for future food security and key to improving agricultural productivity and sustainability. Root systems can be improved and bred to acquire soil resources efficiently and effectively. This can also reduce adverse environmental impacts by decreasing the need for fertilization and fresh water. Therefore, there is a need to improve and breed crop cultivars with favorable root system. However, the lack of high-throughput root phenotyping tools for characterizing root traits in situ is a barrier to breeding for root system improvement. In recent years, many breakthroughs in the measurement and analysis of roots in a root system have been made. Here, we describe the major advances in root image acquisition and analysis technologies and summarize the advantages and disadvantages of each method. Furthermore, we look forward to the future development direction and trend of root phenotyping methods. This review aims to aid researchers in choosing a more appropriate method for improving the root system.
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Affiliation(s)
- Anchang Li
- School of Information Science and Technology, Hebei Agricultrual University, Baoding, Hebei, China
| | - Lingxiao Zhu
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultrual University, Baoding, Hebei, China
| | - Wenjun Xu
- School of Information Science and Technology, Hebei Agricultrual University, Baoding, Hebei, China
| | - Liantao Liu
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultrual University, Baoding, Hebei, China
| | - Guifa Teng
- School of Information Science and Technology, Hebei Agricultrual University, Baoding, Hebei, China
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6
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Liu S, Strauss S, Adibi M, Mosca G, Yoshida S, Dello Ioio R, Runions A, Andersen TG, Grossmann G, Huijser P, Smith RS, Tsiantis M. Cytokinin promotes growth cessation in the Arabidopsis root. Curr Biol 2022; 32:1974-1985.e3. [PMID: 35354067 DOI: 10.1016/j.cub.2022.03.019] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 12/21/2021] [Accepted: 03/07/2022] [Indexed: 10/18/2022]
Abstract
The Arabidopsis root offers good opportunities to investigate how regulated cellular growth shapes different tissues and organs, a key question in developmental biology. Along the root's longitudinal axis, cells sequentially occupy different developmental states. Proliferative meristematic cells give rise to differentiating cells, which rapidly elongate in the elongation zone, then mature and stop growing in the differentiation zone. The phytohormone cytokinin contributes to this zonation by positioning the boundary between the meristem and the elongation zone, called the transition zone. However, the cellular growth profile underlying root zonation is not well understood, and the cellular mechanisms that mediate growth cessation remain unclear. By using time-lapse imaging, genetics, and computational analysis, we analyze the effect of cytokinin on root zonation and cellular growth. We found that cytokinin promotes growth cessation in the distal (shootward) elongation zone in conjunction with accelerating the transition from elongation to differentiation. We estimated cell-wall stiffness by using osmotic treatment experiments and found that cytokinin-mediated growth cessation is associated with cell-wall stiffening and requires the action of an auxin influx carrier, AUX1. Our measurement of growth and cell-wall mechanical properties at a cellular resolution reveal mechanisms via which cytokinin influences cell behavior to shape tissue patterns.
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Affiliation(s)
- Shanda Liu
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Carl-von-Linne Weg 10, 50829 Cologne, Germany
| | - Sören Strauss
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Carl-von-Linne Weg 10, 50829 Cologne, Germany
| | - Milad Adibi
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Carl-von-Linne Weg 10, 50829 Cologne, Germany
| | - Gabriella Mosca
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Carl-von-Linne Weg 10, 50829 Cologne, Germany; Physics Department, Technical University Munich, James-Franck-Str. 1/I, 85748 Garching b. Munich, Germany
| | - Saiko Yoshida
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Carl-von-Linne Weg 10, 50829 Cologne, Germany
| | - Raffaele Dello Ioio
- Dipartimento di Biologia e Biotecnologie, Laboratory of Functional Genomics and Proteomics of Model Systems, Università di Roma, Sapienza, via dei Sardi, 70, 00185 Rome, Italy
| | - Adam Runions
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Carl-von-Linne Weg 10, 50829 Cologne, Germany
| | - Tonni Grube Andersen
- Department of Plant-Microbe Interactions, Max Planck Institute for Plant Breeding Research, Carl-von-Linne Weg 10, 50829 Cologne, Germany
| | - Guido Grossmann
- Institute for Cell and Interaction Biology, Heinrich-Heine Universität Düsseldorf, Universitätsstraße 1, 40225 Düsseldorf, Germany
| | - Peter Huijser
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Carl-von-Linne Weg 10, 50829 Cologne, Germany
| | - Richard S Smith
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Carl-von-Linne Weg 10, 50829 Cologne, Germany; Department of Computational and Systems Biology, John Innes Centre, Norwich NR4 7UH, UK
| | - Miltos Tsiantis
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Carl-von-Linne Weg 10, 50829 Cologne, Germany.
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7
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Desvoyes B, Echevarría C, Gutierrez C. A perspective on cell proliferation kinetics in the root apical meristem. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:6708-6715. [PMID: 34159378 PMCID: PMC8513163 DOI: 10.1093/jxb/erab303] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 06/22/2021] [Indexed: 06/13/2023]
Abstract
Organogenesis in plants is primarily postembryonic and relies on a strict balance between cell division and cell expansion. The root is a particularly well-suited model to study cell proliferation in detail since the two processes are spatially and temporally separated for all the different tissues. In addition, the root is amenable to detailed microscopic analysis to identify cells progressing through the cell cycle. While it is clear that cell proliferation activity is restricted to the root apical meristem (RAM), understanding cell proliferation kinetics and identifying its parameters have required much effort over many years. Here, we review the main concepts, experimental settings, and findings aimed at obtaining a detailed knowledge of how cells proliferate within the RAM. The combination of novel tools, experimental strategies, and mathematical models has contributed to our current view of cell proliferation in the RAM. We also discuss several lines of research that need to be explored in the future.
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Affiliation(s)
- Bénédicte Desvoyes
- Centro de Biologia Molecular Severo Ochoa, CSIC-UAM, Nicolas Cabrera 1, Cantoblanco, 28049 Madrid, Spain
| | - Clara Echevarría
- Centro de Biologia Molecular Severo Ochoa, CSIC-UAM, Nicolas Cabrera 1, Cantoblanco, 28049 Madrid, Spain
| | - Crisanto Gutierrez
- Centro de Biologia Molecular Severo Ochoa, CSIC-UAM, Nicolas Cabrera 1, Cantoblanco, 28049 Madrid, Spain
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8
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Yamoune A, Cuyacot AR, Zdarska M, Hejatko J. Hormonal orchestration of root apical meristem formation and maintenance in Arabidopsis. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:6768-6788. [PMID: 34343283 DOI: 10.1093/jxb/erab360] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 08/02/2021] [Indexed: 06/13/2023]
Abstract
Plant hormones are key regulators of a number of developmental and adaptive responses in plants, integrating the control of intrinsic developmental regulatory circuits with environmental inputs. Here we provide an overview of the molecular mechanisms underlying hormonal regulation of root development. We focus on key events during both embryonic and post-embryonic development, including specification of the hypophysis as a future organizer of the root apical meristem (RAM), hypophysis asymmetric division, specification of the quiescent centre (QC) and the stem cell niche (SCN), RAM maturation and maintenance of QC/SCN activity, and RAM size. We address both well-established and newly proposed concepts, highlight potential ambiguities in recent terminology and classification criteria of longitudinal root zonation, and point to contrasting results and alternative scenarios for recent models. In the concluding remarks, we summarize the common principles of hormonal control during root development and the mechanisms potentially explaining often antagonistic outputs of hormone action, and propose possible future research directions on hormones in the root.
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Affiliation(s)
- Amel Yamoune
- Functional Genomics and Proteomics of Plants, Central European Institute of Technology and National Centre for Biomolecular Research, Masaryk University, Brno, Czech Republic
| | - Abigail Rubiato Cuyacot
- Functional Genomics and Proteomics of Plants, Central European Institute of Technology and National Centre for Biomolecular Research, Masaryk University, Brno, Czech Republic
| | - Marketa Zdarska
- Functional Genomics and Proteomics of Plants, Central European Institute of Technology and National Centre for Biomolecular Research, Masaryk University, Brno, Czech Republic
| | - Jan Hejatko
- Functional Genomics and Proteomics of Plants, Central European Institute of Technology and National Centre for Biomolecular Research, Masaryk University, Brno, Czech Republic
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9
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Differential biosynthesis and cellular permeability explain longitudinal gibberellin gradients in growing roots. Proc Natl Acad Sci U S A 2021; 118:1921960118. [PMID: 33602804 PMCID: PMC7923382 DOI: 10.1073/pnas.1921960118] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Growth hormones are mobile chemicals that exert considerable influence over how multicellular organisms like animals and plants take on their shape and form. Of particular interest is the distribution of such hormones across cells and tissues. In plants, one of these hormones, gibberellin (GA), is known to regulate cell multiplication and cell expansion to increase the rate at which roots grow. In this work, biosensor measurements were combined with theoretical models to elucidate the biochemical mechanisms that direct GA distribution and how these patterns relate to root growth. Our detailed understanding of how GA distributions are controlled in roots should prove a valuable model for understanding the makings of the many other hormone distributions that influence how plants grow. Control over cell growth by mobile regulators underlies much of eukaryotic morphogenesis. In plant roots, cell division and elongation are separated into distinct longitudinal zones and both division and elongation are influenced by the growth regulatory hormone gibberellin (GA). Previously, a multicellular mathematical model predicted a GA maximum at the border of the meristematic and elongation zones. However, GA in roots was recently measured using a genetically encoded fluorescent biosensor, nlsGPS1, and found to be low in the meristematic zone grading to a maximum at the end of the elongation zone. Furthermore, the accumulation rate of exogenous GA was also found to be higher in the elongation zone. It was still unknown which biochemical activities were responsible for these mobile small molecule gradients and whether the spatiotemporal correlation between GA levels and cell length is important for root cell division and elongation patterns. Using a mathematical modeling approach in combination with high-resolution GA measurements in vivo, we now show how differentials in several biosynthetic enzyme steps contribute to the endogenous GA gradient and how differential cellular permeability contributes to an accumulation gradient of exogenous GA. We also analyzed the effects of altered GA distribution in roots and did not find significant phenotypes resulting from increased GA levels or signaling. We did find a substantial temporal delay between complementation of GA distribution and cell division and elongation phenotypes in a GA deficient mutant. Together, our results provide models of how GA gradients are directed and in turn direct root growth.
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10
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Agostinelli D, Noselli G, DeSimone A. Nutations in growing plant shoots as a morphoelastic flutter instability. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2021; 379:20200116. [PMID: 34024131 DOI: 10.1098/rsta.2020.0116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/28/2020] [Indexed: 06/12/2023]
Abstract
Growing plant shoots exhibit spontaneous oscillations that Darwin observed, and termed 'circumnutations'. Recently, they have received renewed attention for the design and optimal actuation of bioinspired robotic devices. We discuss a possible interpretation of these spontaneous oscillations as a Hopf-type bifurcation in a growing morphoelastic rod. Using a three-dimensional model and numerical simulations, we analyse the salient features of this flutter-like phenomenon (e.g. the characteristic period of the oscillations) and their dependence on the model details (in particular, the impact of choosing different growth models) finding that, overall, these features are robust with respect to changes in the details of the growth model adopted. This article is part of the theme issue 'Topics in mathematical design of complex materials'.
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Affiliation(s)
- D Agostinelli
- SISSA-International School for Advanced Studies, 34136 Trieste, Italy
| | - G Noselli
- SISSA-International School for Advanced Studies, 34136 Trieste, Italy
| | - A DeSimone
- SISSA-International School for Advanced Studies, 34136 Trieste, Italy
- The BioRobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
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11
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Wang L, Huang Z, Gao H, Ni C. A method for continuously monitoring the quality of Masson pine seedlings. PLoS One 2021; 16:e0234592. [PMID: 33780451 PMCID: PMC8006993 DOI: 10.1371/journal.pone.0234592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 01/23/2021] [Indexed: 11/24/2022] Open
Abstract
Root growth potential (RGP) is a popular physiological indicator used to evaluate seedling vigor. However, the time scale used in the RGP test is the order of days, which leads to poor performance of the RGP method. We propose an optical interference method, called statistical interferometry, to measure minute root elongation at a sub-nanometer scale, which can decrease the time used in measuring RGP. The time scale of this method is also 104 times less than that of the RGP method. Because we can measure the length of root elongation continuously, we can compute the root elongation rate (RER), which is the variety of the length of root elongation per second. Continuous monitoring can help determine the quality of Masson pine seedling as soon as possible. To show the effectiveness of our proposed method, we designed an experiment, in which we applied different water stresses to our collected Masson pine seedlings and acquired two groups of pines, representing two different qualities: one stressed by water and one not. After measuring the RER of the groups in our experiments, we found that RER is interrelated with the quality of seedlings.
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Affiliation(s)
- Li Wang
- Nanjing Forest University, Nanjing, Jiangshu, China
| | - Zhuo Huang
- Nanjing Forest University, Nanjing, Jiangshu, China
| | - Handong Gao
- Nanjing Forest University, Nanjing, Jiangshu, China
| | - Chao Ni
- Nanjing Forest University, Nanjing, Jiangshu, China
- * E-mail:
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12
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Agostinelli D, DeSimone A, Noselli G. Nutations in Plant Shoots: Endogenous and Exogenous Factors in the Presence of Mechanical Deformations. FRONTIERS IN PLANT SCIENCE 2021; 12:608005. [PMID: 33833768 PMCID: PMC8023405 DOI: 10.3389/fpls.2021.608005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 02/17/2021] [Indexed: 06/12/2023]
Abstract
We present a three-dimensional morphoelastic rod model capable to describe the morphogenesis of growing plant shoots driven by differential growth. We discuss the evolution laws for endogenous oscillators, straightening mechanisms, and reorientations to directional cues, such as gravitropic reactions governed by the avalanche dynamics of statoliths. We use this model to investigate the role of elastic deflections due to gravity loading in circumnutating plant shoots. We show that, in the absence of endogenous cues, pendular and circular oscillations arise as a critical length is attained, thus suggesting the occurrence of an instability triggered by exogenous factors. When also oscillations due to endogenous cues are present, their weight relative to those associated with the instability varies in time as the shoot length and other biomechanical properties change. Thanks to the simultaneous occurrence of these two oscillatory mechanisms, we are able to reproduce a variety of complex behaviors, including trochoid-like patterns, which evolve into circular orbits as the shoot length increases, and the amplitude of the exogenous oscillations becomes dominant.
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Affiliation(s)
| | - Antonio DeSimone
- SISSA–International School for Advanced Studies, Trieste, Italy
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
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13
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Ufuktepe DK, Palaniappan K, Elmali M, Baskin TI. RTIP: A FULLY AUTOMATED ROOT TIP TRACKER FOR MEASURING PLANT GROWTH WITH INTERMITTENT PERTURBATIONS. PROCEEDINGS. INTERNATIONAL CONFERENCE ON IMAGE PROCESSING 2020; 2020:2516-2520. [PMID: 33841049 PMCID: PMC8033648 DOI: 10.1109/icip40778.2020.9191008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
RTip is a tool to quantify plant root growth velocity using high resolution microscopy image sequences at sub-pixel accuracy. The fully automated RTip tracker is designed for high-throughput analysis of plant phenotyping experiments with episodic perturbations. RTip is able to auto-skip past these manual intervention perturbation activity, i.e. when the root tip is not under the microscope, image is distorted or blurred. RTip provides the most accurate root growth velocity results with the lowest variance (i.e. localization jitter) compared to six tracking algorithms including the top performing unsupervised Discriminative Correlation Filter Tracker and the Deeper and Wider Siamese Network. RTip is the only tracker that is able to automatically detect and recover from (occlusion-like) varying duration perturbation events.
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Affiliation(s)
- Deniz Kavzak Ufuktepe
- Electrical Engineering and Computer Science Dept., University of Missouri, Columbia, MO, USA
| | - Kannappan Palaniappan
- Electrical Engineering and Computer Science Dept., University of Missouri, Columbia, MO, USA
| | - Melissa Elmali
- Biology Department, University of Massachusetts, Amherst, MA, USA
| | - Tobias I Baskin
- Biology Department, University of Massachusetts, Amherst, MA, USA
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Baskin TI, Preston S, Zelinsky E, Yang X, Elmali M, Bellos D, Wells DM, Bennett MJ. Positioning the Root Elongation Zone Is Saltatory and Receives Input from the Shoot. iScience 2020; 23:101309. [PMID: 32645582 PMCID: PMC7341455 DOI: 10.1016/j.isci.2020.101309] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 04/28/2020] [Accepted: 06/18/2020] [Indexed: 02/04/2023] Open
Abstract
In the root, meristem and elongation zone lengths remain stable, despite growth and division of cells. To gain insight into zone stability, we imaged individual Arabidopsis thaliana roots through a horizontal microscope and used image analysis to obtain velocity profiles. For a root, velocity profiles obtained every 5 min over 3 h coincided closely, implying that zonation is regulated tightly. However, the position of the elongation zone saltated, by on average 17 μm every 5 min. Saltation was apparently driven by material elements growing faster and then slower, while moving through the growth zone. When the shoot was excised, after about 90 min, growth zone dynamics resembled those of intact roots, except that the position of the elongation zone moved, on average, rootward, by several hundred microns in 24 h. We hypothesize that mechanisms determining elongation zone position receive input from the shoot.
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Affiliation(s)
- Tobias I Baskin
- Centre for Plant Integrative Biology, School of Biosciences, University of Nottingham, Nottingham, LE12 5RD, UK; Biology Department, University of Massachusetts, Amherst, MA 01003, USA.
| | - Simon Preston
- School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, UK
| | - Ellen Zelinsky
- Biology Department, University of Massachusetts, Amherst, MA 01003, USA
| | - Xiaoli Yang
- Biology Department, University of Massachusetts, Amherst, MA 01003, USA
| | - Melissa Elmali
- Biology Department, University of Massachusetts, Amherst, MA 01003, USA
| | - Dimitrios Bellos
- School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK
| | - Darren M Wells
- Centre for Plant Integrative Biology, School of Biosciences, University of Nottingham, Nottingham, LE12 5RD, UK
| | - Malcolm J Bennett
- Centre for Plant Integrative Biology, School of Biosciences, University of Nottingham, Nottingham, LE12 5RD, UK
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15
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Salvi E, Rutten JP, Di Mambro R, Polverari L, Licursi V, Negri R, Dello Ioio R, Sabatini S, Ten Tusscher K. A Self-Organized PLT/Auxin/ARR-B Network Controls the Dynamics of Root Zonation Development in Arabidopsis thaliana. Dev Cell 2020; 53:431-443.e23. [PMID: 32386600 DOI: 10.1016/j.devcel.2020.04.004] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 02/20/2020] [Accepted: 04/06/2020] [Indexed: 10/24/2022]
Abstract
During organogenesis, coherent organ growth arises from spatiotemporally coordinated decisions of individual cells. In the root of Arabidopsis thaliana, this coordination results in the establishment of a division and a differentiation zone. Cells continuously move through these zones; thus, a major question is how the boundary between these domains, the transition zone, is formed and maintained. By combining molecular genetics with computational modeling, we reveal how an auxin/PLETHORA/ARR-B network controls these dynamic patterning processes. We show that after germination, cell division causes a drop in distal PLT2 levels that enables transition zone formation and ARR12 activation. The resulting PLT2-ARR12 antagonism controls expansion of the division zone (the meristem). The successive ARR1 activation antagonizes PLT2 through inducing the cell-cycle repressor KRP2, thus setting final meristem size. Our work indicates a key role for the interplay between cell division dynamics and regulatory networks in root zonation and transition zone patterning.
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Affiliation(s)
- Elena Salvi
- Department of Biology and Biotechnologies "C. Darwin," Laboratory of Functional Genomics and Proteomics of Model Systems, University of Rome "Sapienza", via dei Sardi, 70, 00185 Rome, Italy
| | - Jacob Pieter Rutten
- Computational Developmental Biology Group, Department of Biology, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands
| | - Riccardo Di Mambro
- Department of Biology, University of Pisa - via L. Ghini, 13, 56126 Pisa, Italy
| | - Laura Polverari
- Department of Biology and Biotechnologies "C. Darwin," Laboratory of Functional Genomics and Proteomics of Model Systems, University of Rome "Sapienza", via dei Sardi, 70, 00185 Rome, Italy
| | - Valerio Licursi
- Department of Biology and Biotechnologies "C. Darwin," Laboratory of Functional Genomics and Proteomics of Model Systems, University of Rome "Sapienza", via dei Sardi, 70, 00185 Rome, Italy
| | - Rodolfo Negri
- Department of Biology and Biotechnologies "C. Darwin," Laboratory of Functional Genomics and Proteomics of Model Systems, University of Rome "Sapienza", via dei Sardi, 70, 00185 Rome, Italy
| | - Raffaele Dello Ioio
- Department of Biology and Biotechnologies "C. Darwin," Laboratory of Functional Genomics and Proteomics of Model Systems, University of Rome "Sapienza", via dei Sardi, 70, 00185 Rome, Italy
| | - Sabrina Sabatini
- Department of Biology and Biotechnologies "C. Darwin," Laboratory of Functional Genomics and Proteomics of Model Systems, University of Rome "Sapienza", via dei Sardi, 70, 00185 Rome, Italy.
| | - Kirsten Ten Tusscher
- Computational Developmental Biology Group, Department of Biology, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands.
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16
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Arieti RS, Staiger CJ. Auxin-induced actin cytoskeleton rearrangements require AUX1. THE NEW PHYTOLOGIST 2020; 226:441-459. [PMID: 31859367 PMCID: PMC7154765 DOI: 10.1111/nph.16382] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 12/10/2019] [Indexed: 05/06/2023]
Abstract
The actin cytoskeleton is required for cell expansion and implicated in cellular responses to the phytohormone auxin. However, the mechanisms that coordinate auxin signaling, cytoskeletal remodeling and cell expansion are poorly understood. Previous studies examined long-term actin cytoskeleton responses to auxin, but plants respond to auxin within minutes. Before this work, an extracellular auxin receptor - rather than the auxin transporter AUXIN RESISTANT 1 (AUX1) - was considered to precede auxin-induced cytoskeleton reorganization. In order to correlate actin array organization and dynamics with degree of cell expansion, quantitative imaging tools established baseline actin organization and illuminated individual filament behaviors in root epidermal cells under control conditions and after indole-3-acetic acid (IAA) application. We evaluated aux1 mutant actin organization responses to IAA and the membrane-permeable auxin 1-naphthylacetic acid (NAA). Cell length predicted actin organization and dynamics in control roots; short-term IAA treatments stimulated denser and more parallel, longitudinal arrays by inducing filament unbundling within minutes. Although AUX1 is necessary for full actin rearrangements in response to auxin, cytoplasmic auxin (i.e. NAA) stimulated a lesser response. Actin filaments became more 'organized' after IAA stopped elongation, refuting the hypothesis that 'more organized' actin arrays universally correlate with rapid growth. Short-term actin cytoskeleton response to auxin requires AUX1 and/or cytoplasmic auxin.
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Affiliation(s)
- Ruthie S. Arieti
- Department of Biological SciencesPurdue UniversityWest LafayetteIN47907‐2064USA
- Purdue University Interdisciplinary Life Sciences Graduate Program (PULSe)Purdue UniversityWest LafayetteIN47907USA
- Center for Plant BiologyPurdue UniversityWest LafayetteIN47907USA
| | - Christopher J. Staiger
- Department of Biological SciencesPurdue UniversityWest LafayetteIN47907‐2064USA
- Center for Plant BiologyPurdue UniversityWest LafayetteIN47907USA
- Department of Botany and Plant PathologyPurdue UniversityWest LafayetteIN47907USA
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17
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Abstract
Kinematic methods for studying root growth are powerful but underutilized. To carry out kinematic analysis, the Baskin laboratory, in collaboration with computer scientists, developed software called Stripflow that quantifies the velocity of motion of points in the root, a quantification that is required for subsequent kinematic analysis. The first half of this chapter overviews concepts that underlie kinematic analysis of root growth; the second half provides a step-by-step guide for using Stripflow.
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18
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Bertels J, Beemster GT. leafkin-An R package for automated kinematic data analysis of monocot leaves. QUANTITATIVE PLANT BIOLOGY 2020; 1:e2. [PMID: 37077328 PMCID: PMC10095969 DOI: 10.1017/qpb.2020.3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 08/18/2020] [Accepted: 09/16/2020] [Indexed: 05/03/2023]
Abstract
Growth is one of the most studied plant responses. At the cellular level, plant growth is driven by cell division and cell expansion. A means to quantify these two cellular processes is through kinematic analysis, a methodology that has been developed and perfected over the past decades, with in-depth descriptions of the methodology available. Unfortunately, after performing the lab work, researchers are required to perform time-consuming, repetitive and error-prone calculations. To lower the barrier towards this final step in the analysis and to aid researchers currently applying this technique, we have created leafkin, an R-package to perform all the calculations involved in the kinematic analysis of monocot leaves using only four functions. These functions support leaf elongation rate calculations, fitting of cell length profiles, extraction of fitted cell lengths and execution of kinematic equations. With the leafkin package, kinematic analysis of monocot leaves becomes more accessible than before.
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Affiliation(s)
- Jonas Bertels
- Integrated Molecular Plant Physiology Research Group (IMPRES), Department of Biology, University of Antwerp, Antwerp, Belgium
| | - Gerrit T.S. Beemster
- Integrated Molecular Plant Physiology Research Group (IMPRES), Department of Biology, University of Antwerp, Antwerp, Belgium
- Author for correspondence: Gerrit T. S. Beemster, E-mail:
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Moulia B, Bastien R, Chauvet-Thiry H, Leblanc-Fournier N. Posture control in land plants: growth, position sensing, proprioception, balance, and elasticity. JOURNAL OF EXPERIMENTAL BOTANY 2019; 70:3467-3494. [PMID: 31305901 DOI: 10.1093/jxb/erz278] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 07/07/2019] [Indexed: 06/10/2023]
Abstract
The colonization of the atmosphere by land plants was a major evolutionary step. The mechanisms that allow for vertical growth through air and the establishment and control of a stable erect habit are just starting to be understood. A key mechanism was found to be continuous posture control to counterbalance the mechanical and developmental challenges of maintaining a growing upright structure. An interdisciplinary systems biology approach was invaluable in understanding the underlying principles and in designing pertinent experiments. Since this discovery previously held views of gravitropic perception had to be reexamined and this has led to the description of proprioception in plants. In this review, we take a purposefully pedagogical approach to present the dynamics involved from the cellular to whole-plant level. We show how the textbook model of how plants sense gravitational force has been replaced by a model of position sensing, a clinometer mechanism that involves both passive avalanches and active motion of statoliths, granular starch-filled plastids, in statocytes. Moreover, there is a transmission of information between statocytes and other specialized cells that sense the degree of organ curvature and reset asymmetric growth to straighten and realign the structure. We give an overview of how plants have used the interplay of active posture control and elastic sagging to generate a whole range of spatial displays during their life cycles. Finally, a position-integrating mechanism has been discovered that prevents directional plant growth from being disrupted by wind-induced oscillations.
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Affiliation(s)
- Bruno Moulia
- Université Clermont Auvergne, INRA, PIAF, Clermont-Ferrand, France
| | - Renaud Bastien
- Université Clermont Auvergne, INRA, PIAF, Clermont-Ferrand, France
- Department of Collective Behaviour, Max Planck Institute for Ornithology and Department of Biology, University of Konstanz, Konstanz, Germany
| | - Hugo Chauvet-Thiry
- Université Clermont Auvergne, INRA, PIAF, Clermont-Ferrand, France
- Aix-Marseille Université, CNRS, IUSTI, Marseille, France
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20
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RBOH-Dependent ROS Synthesis and ROS Scavenging by Plant Specialized Metabolites To Modulate Plant Development and Stress Responses. Chem Res Toxicol 2019; 32:370-396. [PMID: 30781949 DOI: 10.1021/acs.chemrestox.9b00028] [Citation(s) in RCA: 178] [Impact Index Per Article: 35.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Reactive oxygen species (ROS) regulate plant growth and development. ROS are kept at low levels in cells to prevent oxidative damage, allowing them to be effective signaling molecules upon increased synthesis. In plants and animals, NADPH oxidase/respiratory burst oxidase homolog (RBOH) proteins provide localized ROS bursts to regulate growth, developmental processes, and stress responses. This review details ROS production via RBOH enzymes in the context of plant development and stress responses and defines the locations and tissues in which members of this family function in the model plant Arabidopsis thaliana. To ensure that these ROS signals do not reach damaging levels, plants use an array of antioxidant strategies. In addition to antioxidant machineries similar to those found in animals, plants also have a variety of specialized metabolites that scavenge ROS. These plant specialized metabolites exhibit immense structural diversity and have highly localized accumulation. This makes them important players in plant developmental processes and stress responses that use ROS-dependent signaling mechanisms. This review summarizes the unique properties of plant specialized metabolites, including carotenoids, ascorbate, tocochromanols (vitamin E), and flavonoids, in modulating ROS homeostasis. Flavonols, a subclass of flavonoids with potent antioxidant activity, are induced during stress and development, suggesting that they have a role in maintaining ROS homeostasis. Recent results using genetic approaches have shown how flavonols regulate development and stress responses through their action as antioxidants.
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21
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Zhukovskaya NV, Bystrova EI, Dubrovsky JG, Ivanov VB. Global analysis of an exponential model of cell proliferation for estimation of cell cycle duration in the root apical meristem of angiosperms. ANNALS OF BOTANY 2018; 122:811-822. [PMID: 29425277 PMCID: PMC6215031 DOI: 10.1093/aob/mcx216] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Accepted: 12/26/2017] [Indexed: 05/13/2023]
Abstract
Background and Aims Information on cell cycle duration (T) in the root apical meristem (RAM) provides insight into root growth, development and evolution. We have previously proposed a simple method for evaluating T based on the dynamics of root growth (V), the number of cells in the RAM (Nm) and the length of fully elongated cells (l), which we named the rate-of-cell-production (RCP) method. Here, a global analysis was performed to confirm the reliability of this method in a range of angiosperm species and to assess the advantages of this approach. Methods We measured V, Nm and l from live or fixed cleared primary roots of seedlings or adventitious roots of bulbs and used this information to estimate the average T values in 73 angiosperm species via the RCP method. The results were then compared with published data obtained using the classical but laborious and time-consuming 3H-thymidine method. Key Results In most species examined, the T values obtained by the RCP method were nearly identical to those obtained by the 3H-thymidine method. Conclusions The global analysis demonstrated that the relationship between the variables V, Nm and l in roots in the steady state of growth is correctly described by the equation T = (ln2 Nm l)V-1. Thus, the RCP method enables cell cycle duration in the RAM to be rapidly and accurately determined. This method can be performed using live or fixed roots for each individual cell type. The simplicity of the approach suggests that it will be widely used in phenomics, evolutionary ecology and other plant biology studies.
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Affiliation(s)
- Natalia V Zhukovskaya
- Department of Root Physiology, Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, Moscow, Russia
| | - Elena I Bystrova
- Department of Root Physiology, Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, Moscow, Russia
| | - Joseph G Dubrovsky
- Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México
| | - Victor B Ivanov
- Department of Root Physiology, Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, Moscow, Russia
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22
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Youssef C, Bizet F, Bastien R, Legland D, Bogeat-Triboulot MB, Hummel I. Quantitative dissection of variations in root growth rate: a matter of cell proliferation or of cell expansion? JOURNAL OF EXPERIMENTAL BOTANY 2018; 69:5157-5168. [PMID: 30053124 PMCID: PMC6184812 DOI: 10.1093/jxb/ery272] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 07/16/2018] [Indexed: 05/24/2023]
Abstract
Plant organ growth results from cell production and cell expansion. Deciphering the contribution of each of these processes to growth rate is an important issue in developmental biology. Here, we investigated the cellular processes governing root elongation rate, considering two sources of variation: genotype and disturbance by chemicals (NaCl, polyethylene glycol, H2O2, abscisic acid). Exploiting the adventitious rooting capacity of the Populus genus, and using time-lapse imaging under infrared-light, particle image velocimetry, histological analysis, and kinematics, we quantified the cellular processes involved in root growth variation, and analysed the covariation patterns between growth parameters. The rate of cell production by the root apical meristem and the number of dividing cells were estimated in vivo without destructive measurement. We found that the rate of cell division contributed more to the variation in cell production rate than the number of dividing cells. Regardless of the source of variation, the length of the elongation zone was the best proxy for growth rate, summarizing rates of cell production and cell elongation into a single parameter. Our results demonstrate that cell production rate is the main driver of growth rate, whereas elemental elongation rate is a key driver of short-term growth adjustments.
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Affiliation(s)
- Chvan Youssef
- Université de Lorraine, AgroParisTech, INRA, UMR Silva, Nancy, France
| | - François Bizet
- UMR PIAF, INRA, Université Clermont Auvergne, Aubière, France
| | - Renaud Bastien
- Department of Collective Behaviour, Max Planck Institute for Ornithology, University of Konstanz, Konstanz, Germany
| | - David Legland
- UMR Biopolymers, Interactions and Assemblies, INRA, Nantes, France
| | | | - Irène Hummel
- Université de Lorraine, AgroParisTech, INRA, UMR Silva, Nancy, France
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23
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Šimkūnas A, Valašinaitė S, Denisov V. Comparative systemic analysis of the cellular growth of leaves and roots in controlled conditions. JOURNAL OF PLANT PHYSIOLOGY 2018; 220:128-135. [PMID: 29175544 DOI: 10.1016/j.jplph.2017.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Revised: 09/20/2017] [Accepted: 09/21/2017] [Indexed: 06/07/2023]
Abstract
The comparative cytological analysis of the leaf/root growth of Lolium multiflorum has been performed. It revealed differences of the mentioned above/under-ground organs that express the whole plant's polarity. To perform accurate and simultaneous growth comparison a climatic-hydroponics system has been implemented. A sharp increase in the epidermis cell length of the leaf meristem has been detected for the first time. It allows the proposal of a new way to demarcate the boundary of the meristem and suggests a lengthed leaf meristem, that is 4 times longer than the root meristem. As the cell cycle duration in leaves and roots is similar, the prolonged leaf meristem and a higher leaf growth rate could be determined by the longer life span of cells in meristem, resulting in more cell cycles. The prolonged meristem provides a significantly higher leaf growth rate, ensuring a functional balance with roots. The elongation zone of the roots is significantly shorter than in leaves, which is caused by the larger relative root elongation rate and the slower meristemic root growth rate. The novelty formulated, i.e., the prolonged leaf meristem, opens theoretical perspectives in longitudinal zonation, in finding molecular markers and provides practical significance for the biology of productivity.
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Affiliation(s)
- Alvydas Šimkūnas
- Marine Technology and Natural Sciences Faculty, Klaipeda University, Bijūnų str. 17, 91225 Klaipėda, Lithuania.
| | - Sandra Valašinaitė
- Marine Technology and Natural Sciences Faculty, Klaipeda University, Bijūnų str. 17, 91225 Klaipėda, Lithuania.
| | - Vitalij Denisov
- Marine Technology and Natural Sciences Faculty, Klaipeda University, Bijūnų str. 17, 91225 Klaipėda, Lithuania.
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24
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Moreno-Ortega B, Fort G, Muller B, Guédon Y. Identifying Developmental Zones in Maize Lateral Root Cell Length Profiles using Multiple Change-Point Models. FRONTIERS IN PLANT SCIENCE 2017; 8:1750. [PMID: 29123533 PMCID: PMC5662930 DOI: 10.3389/fpls.2017.01750] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 09/25/2017] [Indexed: 05/04/2023]
Abstract
The identification of the limits between the cell division, elongation and mature zones in the root apex is still a matter of controversy when methods based on cellular features, molecular markers or kinematics are compared while methods based on cell length profiles have been comparatively underexplored. Segmentation models were developed to identify developmental zones within a root apex on the basis of epidermal cell length profiles. Heteroscedastic piecewise linear models were estimated for maize lateral roots of various lengths of both wild type and two mutants affected in auxin signaling (rtcs and rum-1). The outputs of these individual root analyses combined with morphological features (first root hair position and root diameter) were then globally analyzed using principal component analysis. Three zones corresponding to the division zone, the elongation zone and the mature zone were identified in most lateral roots while division zone and sometimes elongation zone were missing in arrested roots. Our results are consistent with an auxin-dependent coordination between cell flux, cell elongation and cell differentiation. The proposed segmentation models could extend our knowledge of developmental regulations in longitudinally organized plant organs such as roots, monocot leaves or internodes.
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Affiliation(s)
- Beatriz Moreno-Ortega
- LEPSE, INRA, Montpellier SupAgro, Montpellier, France
- CIRAD, UMR AGAP, Montpellier, France
- Inria, Virtual Plants, Montpellier, France
- Université de Montpellier, Montpellier, France
| | - Guillaume Fort
- LEPSE, INRA, Montpellier SupAgro, Montpellier, France
- Université de Montpellier, Montpellier, France
| | - Bertrand Muller
- LEPSE, INRA, Montpellier SupAgro, Montpellier, France
- Université de Montpellier, Montpellier, France
| | - Yann Guédon
- CIRAD, UMR AGAP, Montpellier, France
- Inria, Virtual Plants, Montpellier, France
- Université de Montpellier, Montpellier, France
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25
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Bizet F, Dupuy LX, Bengough AG, Peaucelle A, Hummel I, Bogeat-Triboulot MB. Non-invasive Protocol for Kinematic Monitoring of Root Growth under Infrared Light. Bio Protoc 2017; 7:e2390. [PMID: 34541126 DOI: 10.21769/bioprotoc.2390] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Revised: 03/18/2017] [Accepted: 06/08/2017] [Indexed: 11/02/2022] Open
Abstract
Phenotyping the dynamics of root responses to environmental cues is necessary to understand plant acclimation to their environment. Continuous monitoring of root growth is challenging because roots normally grow belowground and are very sensitive to their growth environment. This protocol combines infrared imaging with hydroponic cultivation for kinematic analyses. It allows continuous imaging at fine spatiotemporal resolution and disturbs roots minimally. Examples are provided of how the procedure and materials can be adapted for 3D monitoring and of how environmental stress may be manipulated for experimental purposes.
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Affiliation(s)
| | | | - Anthony Glyn Bengough
- James Hutton Institute, Dundee, UK.,School of Science and Engineering, University of Dundee, Dundee, UK
| | - Alexis Peaucelle
- Institut Jean-Pierre Bourgin, INRA, CNRS, AgroParisTech, Université Paris-Saclay, Versailles, France
| | - Irène Hummel
- EEF, INRA, Université de Lorraine, Champenoux, France
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26
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The Dynamics of Root Growth: A Geometric Model. Bull Math Biol 2017; 79:1820-1845. [PMID: 28687952 DOI: 10.1007/s11538-017-0308-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2016] [Accepted: 06/08/2017] [Indexed: 10/19/2022]
Abstract
A new model for macroscopic root growth based on a dynamical Riemannian geometry is presented. Assuming that the thickness of the root is much less than its length, the model is restricted to growth in one dimension (1D). We treat 1D tissues as continuous, deformable, growing geometries for sizes larger than 1 mm. The dynamics of the growing root are described by a set of coupled tensor equations for the metric of the tissue and velocity field of material transport in non-Euclidean space. These coupled equations represent a novel feedback mechanism between growth and geometry. We compare 1D numerical simulations of these tissue growth equations to two measures of root growth. First, sectional growth along the simulated root shows an elongation zone common to many species of plant roots. Second, the relative elemental growth rate calculated in silico exhibits spatio-temporal dynamics recently characterized in high-resolution root growth studies but which thus far lack a biological hypothesis to explain them. In our model, these dynamics are a direct consequence of considering growth as both a geometric reaction-diffusion process and expansion due to a distributed source of new materials.
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27
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Gázquez A, Beemster GTS. What determines organ size differences between species? A meta-analysis of the cellular basis. THE NEW PHYTOLOGIST 2017; 215:299-308. [PMID: 28440558 DOI: 10.1111/nph.14573] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 03/13/2017] [Indexed: 05/23/2023]
Abstract
Little is known about how the characteristic differences in organ size between species are regulated. At the cellular level, the size of an organ is strictly regulated by cell division and expansion during its development. We performed a meta-analysis of the growth parameters of roots, and Graminae and eudicotyledonous leaves, to address the question of how quantitative variation in these two processes contributes to size differences across a range of species. We extracted or derived cellular parameters from published kinematic growth analyses. These data were subjected to linear regression analyses to identify the parameters that determine differences in organ growth. Our results demonstrate that, across all species and organs, similar conclusions can be made: cell number rather than cell size determines the final size of plant organs; cell number is determined by meristem size rather than the rate at which cells divide; cells that are small when leaving the meristem compensate by expanding for longer; mature cell size is primarily determined by the duration of cell expansion. These results identify the regulation of the transition from cell division to expansion as the key cellular mechanism targeted by the evolution of organ size.
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Affiliation(s)
- Ayelén Gázquez
- Laboratory for Integrated Molecular Plant Physiology Research (IMPRES), Department of Biology, University of Antwerp, Groenenborgerlaan 171, 2020, Antwerpen, Belgium
- Laboratorio de Fisiología de Estrés Abiótico en Plantas, Unidad de Biotecnología 1, IIB-INTECH - CONICET - UNSAM, Chascomús, Argentina
| | - Gerrit T S Beemster
- Laboratory for Integrated Molecular Plant Physiology Research (IMPRES), Department of Biology, University of Antwerp, Groenenborgerlaan 171, 2020, Antwerpen, Belgium
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28
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Yang X, Dong G, Palaniappan K, Mi G, Baskin TI. Temperature-compensated cell production rate and elongation zone length in the root of Arabidopsis thaliana. PLANT, CELL & ENVIRONMENT 2017; 40:264-276. [PMID: 27813107 DOI: 10.1111/pce.12855] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 10/26/2016] [Accepted: 10/31/2016] [Indexed: 05/13/2023]
Abstract
To understand how root growth responds to temperature, we used kinematic analysis to quantify division and expansion parameters in the root of Arabidopsis thaliana. Plants were grown at temperatures from 15 to 30 °C, given continuously from germination. Over these temperatures, root length varies more than threefold in the wild type but by only twofold in a double mutant for phytochrome-interacting factor 4 and 5. For kinematics, the spatial profile of velocity was obtained with new software, Stripflow. We find that 30 °C truncates the elongation zone and curtails cell production, responses that probably reflect the elicitation of a common pathway for handling severe stresses. Curiously, rates of cell division at all temperatures are closely correlated with rates of radial expansion. Between 15 to 25 °C, root growth rate, maximal elemental elongation rate, and final cell length scale positively with temperature whereas the length of the meristem scales negatively. Non-linear temperature scaling characterizes meristem cell number, time to transit through either meristem or elongation zone, and average cell division rate. Surprisingly, the length of the elongation zone and the total rate of cell production are temperature invariant, constancies that have implications for our understanding of how the underlying cellular processes are integrated.
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Affiliation(s)
- Xiaoli Yang
- Biology Department, University of Massachusetts, Amherst, 01003, MA, USA
- College of Resources and Environmental Science, China Agricultural University, Beijing, 100193, China
| | - Gang Dong
- Biology Department, University of Massachusetts, Amherst, 01003, MA, USA
| | - K Palaniappan
- Computer Science Department, University of Missouri, Columbia, 65211, MO, USA
| | - Guohua Mi
- College of Resources and Environmental Science, China Agricultural University, Beijing, 100193, China
| | - Tobias I Baskin
- Biology Department, University of Massachusetts, Amherst, 01003, MA, USA
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Zubairova U, Nikolaev S, Penenko A, Podkolodnyy N, Golushko S, Afonnikov D, Kolchanov N. Mechanical Behavior of Cells within a Cell-Based Model of Wheat Leaf Growth. FRONTIERS IN PLANT SCIENCE 2016; 7:1878. [PMID: 28018409 PMCID: PMC5156783 DOI: 10.3389/fpls.2016.01878] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2016] [Accepted: 11/28/2016] [Indexed: 06/06/2023]
Abstract
Understanding the principles and mechanisms of cell growth coordination in plant tissue remains an outstanding challenge for modern developmental biology. Cell-based modeling is a widely used technique for studying the geometric and topological features of plant tissue morphology during growth. We developed a quasi-one-dimensional model of unidirectional growth of a tissue layer in a linear leaf blade that takes cell autonomous growth mode into account. The model allows for fitting of the visible cell length using the experimental cell length distribution along the longitudinal axis of a wheat leaf epidermis. Additionally, it describes changes in turgor and osmotic pressures for each cell in the growing tissue. Our numerical experiments show that the pressures in the cell change over the cell cycle, and in symplastically growing tissue, they vary from cell to cell and strongly depend on the leaf growing zone to which the cells belong. Therefore, we believe that the mechanical signals generated by pressures are important to consider in simulations of tissue growth as possible targets for molecular genetic regulators of individual cell growth.
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Affiliation(s)
- Ulyana Zubairova
- Department of Systems Biology, Institute of Cytology and Genetics (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia
| | - Sergey Nikolaev
- Department of Systems Biology, Institute of Cytology and Genetics (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia
- Laboratory of Analysis and Optimization of Non-Linear Systems, Institute of Computational Technologies (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia
| | - Aleksey Penenko
- Laboratory of Mathematical Modeling of Hydrodynamic Processes in the Environment, Institute of Computational Mathematics and Mathematical Geophysics (ICM & MG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia
- Chair of Mathematical Methods in Geophysics, Faculty of Mechanics and Mathematics, Novosibirsk State UniversityNovosibirsk, Russia
| | - Nikolay Podkolodnyy
- Department of Systems Biology, Institute of Cytology and Genetics (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia
- Laboratory of Mathematical Problems of Geophysics, Institute of Computational Mathematics and Mathematical Geophysics (ICM & MG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia
- Chair of Informatics Systems, Faculty of Information Technologies, Novosibirsk State UniversityNovosibirsk, Russia
| | - Sergey Golushko
- Laboratory of Analysis and Optimization of Non-Linear Systems, Institute of Computational Technologies (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia
- Chair of Mathematical Modeling, Faculty of Mechanics and Mathematics, Novosibirsk State UniversityNovosibirsk, Russia
| | - Dmitry Afonnikov
- Department of Systems Biology, Institute of Cytology and Genetics (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia
- Chair of Informational Biology, Faculty of Natural Sciences, Novosibirsk State UniversityNovosibirsk, Russia
| | - Nikolay Kolchanov
- Department of Systems Biology, Institute of Cytology and Genetics (ICG), Siberian Branch of Russian Academy of ScienceNovosibirsk, Russia
- Chair of Informational Biology, Faculty of Natural Sciences, Novosibirsk State UniversityNovosibirsk, Russia
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30
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Sprangers K, Avramova V, Beemster GTS. Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves. J Vis Exp 2016:54887. [PMID: 28060300 PMCID: PMC5226352 DOI: 10.3791/54887] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Growth analyses are often used in plant science to investigate contrasting genotypes and the effect of environmental conditions. The cellular aspect of these analyses is of crucial importance, because growth is driven by cell division and cell elongation. Kinematic analysis represents a methodology to quantify these two processes. Moreover, this technique is easy to use in non-specialized laboratories. Here, we present a protocol for performing a kinematic analysis in monocotyledonous maize (Zea mays) leaves. Two aspects are presented: (1) the quantification of cell division and expansion parameters, and (2) the determination of the location of the developmental zones. This could serve as a basis for sampling design and/or could be useful for data interpretation of biochemical and molecular measurements with high spatial resolution in the leaf growth zone. The growth zone of maize leaves is harvested during steady-state growth. Individual leaves are used for meristem length determination using a DAPI stain and cell-length profiles using DIC microscopy. The protocol is suited for emerged monocotyledonous leaves harvested during steady-state growth, with growth zones spanning at least several centimeters. To improve the understanding of plant growth regulation, data on growth and molecular studies must be combined. Therefore, an important advantage of kinematic analysis is the possibility to correlate changes at the molecular level to well-defined stages of cellular development. Furthermore, it allows for a more focused sampling of specified developmental stages, which is useful in case of limited budget or time.
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Bastien R, Legland D, Martin M, Fregosi L, Peaucelle A, Douady S, Moulia B, Höfte H. KymoRod: a method for automated kinematic analysis of rod-shaped plant organs. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2016; 88:468-475. [PMID: 27354251 DOI: 10.1111/tpj.13255] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Revised: 06/21/2016] [Accepted: 06/24/2016] [Indexed: 06/06/2023]
Abstract
A major challenge in plant systems biology is the development of robust, predictive multiscale models for organ growth. In this context it is important to bridge the gap between the, rather well-documented molecular scale and the organ scale by providing quantitative methods to study within-organ growth patterns. Here, we describe a simple method for the analysis of the evolution of growth patterns within rod-shaped organs that does not require adding markers at the organ surface. The method allows for the simultaneous analysis of root and hypocotyl growth, provides spatio-temporal information on curvature, growth anisotropy and relative elemental growth rate and can cope with complex organ movements. We demonstrate the performance of the method by documenting previously unsuspected complex growth patterns within the growing hypocotyl of the model species Arabidopsis thaliana during normal growth, after treatment with a growth-inhibiting drug or in a mechano-sensing mutant. The method is freely available as an intuitive and user-friendly Matlab application called KymoRod.
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Affiliation(s)
- Renaud Bastien
- Institut Jean-Pierre Bourgin, INRA, Centre National pour la Recherche Scientifique, AgroParisTech, Université Paris-Saclay, RD10, 78026, Versailles Cedex, France
- Department of Collective Behaviour, Max Planck Institute for Ornithology and Department of Biology, University of Konstanz, Konstanz, Germany
| | - David Legland
- Institut Jean-Pierre Bourgin, INRA, Centre National pour la Recherche Scientifique, AgroParisTech, Université Paris-Saclay, RD10, 78026, Versailles Cedex, France
- Biopolymères Interaction et Assemblages, INRA, UR1368, Nantes, F-44316, France
| | - Marjolaine Martin
- Institut Jean-Pierre Bourgin, INRA, Centre National pour la Recherche Scientifique, AgroParisTech, Université Paris-Saclay, RD10, 78026, Versailles Cedex, France
| | - Lucien Fregosi
- Institut Jean-Pierre Bourgin, INRA, Centre National pour la Recherche Scientifique, AgroParisTech, Université Paris-Saclay, RD10, 78026, Versailles Cedex, France
| | - Alexis Peaucelle
- Institut Jean-Pierre Bourgin, INRA, Centre National pour la Recherche Scientifique, AgroParisTech, Université Paris-Saclay, RD10, 78026, Versailles Cedex, France
| | - Stéphane Douady
- Matière et Systèmes Complexes, Université Paris-Diderot, Paris Cedex 13, 75025, France
| | - Bruno Moulia
- INRA, UMR 547 PIAF, Clermont-Ferrand, F-63100, France
- Clermont Université, Université Blaise Pascal, UMR 547 PIAF, Clermont-Ferrand, F-63100, France
| | - Herman Höfte
- Institut Jean-Pierre Bourgin, INRA, Centre National pour la Recherche Scientifique, AgroParisTech, Université Paris-Saclay, RD10, 78026, Versailles Cedex, France
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Pacheco-Escobedo MA, Ivanov VB, Ransom-Rodríguez I, Arriaga-Mejía G, Ávila H, Baklanov IA, Pimentel A, Corkidi G, Doerner P, Dubrovsky JG, Álvarez-Buylla ER, Garay-Arroyo A. Longitudinal zonation pattern in Arabidopsis root tip defined by a multiple structural change algorithm. ANNALS OF BOTANY 2016; 118:763-776. [PMID: 27358290 PMCID: PMC5055628 DOI: 10.1093/aob/mcw101] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Revised: 03/08/2016] [Accepted: 04/08/2016] [Indexed: 05/23/2023]
Abstract
Background and Aims The Arabidopsis thaliana root is a key experimental system in developmental biology. Despite its importance, we are still lacking an objective and broadly applicable approach for identification of number and position of developmental domains or zones along the longitudinal axis of the root apex or boundaries between them, which is essential for understanding the mechanisms underlying cell proliferation, elongation and differentiation dynamics during root development. Methods We used a statistics approach, the multiple structural change algorithm (MSC), for estimating the number and position of developmental transitions in the growing portion of the root apex. Once the positions of the transitions between domains and zones were determined, linear models were used to estimate the critical size of dividing cells (LcritD) and other parameters. Key Results The MSC approach enabled identification of three discrete regions in the growing parts of the root that correspond to the proliferation domain (PD), the transition domain (TD) and the elongation zone (EZ). Simultaneous application of the MSC approach and G2-to-M transition (CycB1;1DB:GFP) and endoreduplication (pCCS52A1:GUS) molecular markers confirmed the presence and position of the TD. We also found that the MADS-box gene XAANTAL1 (XAL1) is required for the wild-type (wt) PD increase in length during the first 2 weeks of growth. Contrary to wt, in the xal1 loss-of-function mutant the increase and acceleration of root growth were not detected. We also found alterations in LcritD in xal1 compared with wt, which was associated with longer cell cycle duration in the mutant. Conclusions The MSC approach is a useful, objective and versatile tool for identification of the PD, TD and EZ and boundaries between them in the root apices and can be used for the phenotyping of different genetic backgrounds, experimental treatments or developmental changes within a genotype. The tool is publicly available at www.ibiologia.com.mx/MSC_analysis.
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Affiliation(s)
- Mario A. Pacheco-Escobedo
- Laboratorio de Genética Molecular, Desarrollo y Evolución de Plantas, Instituto de Ecología, Universidad Nacional Autónoma de México, 3er Circuito Ext. Junto a J. Botánico, Ciudad Universitaria, UNAM, México DF, Mexico
| | - Victor B. Ivanov
- Department of Root Physiology, Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, ul. Botanicheskaya 35, Moscow, 127276 Russia
| | - Iván Ransom-Rodríguez
- Laboratorio de Genética Molecular, Desarrollo y Evolución de Plantas, Instituto de Ecología, Universidad Nacional Autónoma de México, 3er Circuito Ext. Junto a J. Botánico, Ciudad Universitaria, UNAM, México DF, Mexico
| | - Germán Arriaga-Mejía
- Escuela Superior de Física y Matemáticas, Instituto Politécnico Nacional, U.P. Adolfo López Mateos, México DF, México
| | - Hibels Ávila
- Escuela Superior de Física y Matemáticas, Instituto Politécnico Nacional, U.P. Adolfo López Mateos, México DF, México
| | - Ilya A. Baklanov
- Department of Root Physiology, Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, ul. Botanicheskaya 35, Moscow, 127276 Russia
| | - Arturo Pimentel
- Instituto de Biotecnología, Universidad Nacional Autónoma de México, Apartado Postal 510-3, 62250 Cuernavaca, Morelos, México
| | - Gabriel Corkidi
- Instituto de Biotecnología, Universidad Nacional Autónoma de México, Apartado Postal 510-3, 62250 Cuernavaca, Morelos, México
| | - Peter Doerner
- Institute of Molecular Plant Science, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - Joseph G. Dubrovsky
- Instituto de Biotecnología, Universidad Nacional Autónoma de México, Apartado Postal 510-3, 62250 Cuernavaca, Morelos, México
| | - Elena R. Álvarez-Buylla
- Laboratorio de Genética Molecular, Desarrollo y Evolución de Plantas, Instituto de Ecología, Universidad Nacional Autónoma de México, 3er Circuito Ext. Junto a J. Botánico, Ciudad Universitaria, UNAM, México DF, Mexico
| | - Adriana Garay-Arroyo
- Laboratorio de Genética Molecular, Desarrollo y Evolución de Plantas, Instituto de Ecología, Universidad Nacional Autónoma de México, 3er Circuito Ext. Junto a J. Botánico, Ciudad Universitaria, UNAM, México DF, Mexico
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33
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Novák D, Kuchařová A, Ovečka M, Komis G, Šamaj J. Developmental Nuclear Localization and Quantification of GFP-Tagged EB1c in Arabidopsis Root Using Light-Sheet Microscopy. FRONTIERS IN PLANT SCIENCE 2016; 6:1187. [PMID: 26779221 PMCID: PMC4700127 DOI: 10.3389/fpls.2015.01187] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2015] [Accepted: 12/10/2015] [Indexed: 05/08/2023]
Abstract
The development of the root apex is determined by progress of cells from the meristematic region to the successive post-mitotic developmental zones for transition, cell elongation and final cell differentiation. We addressed root development, tissue architecture and root developmental zonation by means of light-sheet microscopic imaging of Arabidopsis thaliana seedlings expressing END BINDING protein 1c (EB1c) fused to green fluorescent protein (GFP) under control of native EB1c promoter. Unlike the other two members of the EB1 family, plant-specific EB1c shows prominent nuclear localization in non-dividing cells in all developmental zones of the root apex. The nuclear localization of EB1c was previously mentioned solely in meristematic cells, but not further addressed. With the help of advanced light-sheet microscopy, we report quantitative evaluations of developmentally-regulated nuclear levels of the EB1c protein tagged with GFP relatively to the nuclear size in diverse root tissues (epidermis, cortex, and endodermis) and root developmental zones (meristem, transition, and elongation zones). Our results demonstrate a high potential of light-sheet microscopy for 4D live imaging of fluorescently-labeled nuclei in complex samples such as developing roots, showing capacity to quantify parameters at deeper cell layers (e.g., endodermis) with minimal aberrations. The data presented herein further signify the unique role of developmental cell reprogramming in the transition from cell proliferation to cell differentiation in developing root apex.
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Affiliation(s)
| | | | | | | | - Jozef Šamaj
- Department of Cell Biology, Centre of the Region Haná for Biotechnological and Agricultural Research, Palacký University OlomoucOlomouc, Czech Republic
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Kuijken RCP, van Eeuwijk FA, Marcelis LFM, Bouwmeester HJ. Root phenotyping: from component trait in the lab to breeding. JOURNAL OF EXPERIMENTAL BOTANY 2015; 66:5389-401. [PMID: 26071534 DOI: 10.1093/jxb/erv239] [Citation(s) in RCA: 101] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
In the last decade cheaper and faster sequencing methods have resulted in an enormous increase in genomic data. High throughput genotyping, genotyping by sequencing and genomic breeding are becoming a standard in plant breeding. As a result, the collection of phenotypic data is increasingly becoming a limiting factor in plant breeding. Genetic studies on root traits are being hampered by the complexity of these traits and the inaccessibility of the rhizosphere. With an increasing interest in phenotyping, breeders and scientists try to overcome these limitations, resulting in impressive developments in automated phenotyping platforms. Recently, many such platforms have been thoroughly described, yet their efficiency to increase genetic gain often remains undiscussed. This efficiency depends on the heritability of the phenotyped traits as well as the correlation of these traits with agronomically relevant breeding targets. This review provides an overview of the latest developments in root phenotyping and describes the environmental and genetic factors influencing root phenotype and heritability. It also intends to give direction to future phenotyping and breeding strategies for optimizing root system functioning. A quantitative framework to determine the efficiency of phenotyping platforms for genetic gain is described. By increasing heritability, managing effects caused by interactions between genotype and environment and by quantifying the genetic relation between traits phenotyped in platforms and ultimate breeding targets, phenotyping platforms can be utilized to their maximum potential.
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Affiliation(s)
- René C P Kuijken
- Wageningen UR, Greenhouse Horticulture, Wageningen, 6708 PB, The Netherlands Wageningen UR, Laboratory of Plant Physiology, Wageningen, 6708 PB, The Netherlands
| | | | - Leo F M Marcelis
- Wageningen UR, Horticulture and Product Physiology, Wageningen, 6708 PB, The Netherlands
| | - Harro J Bouwmeester
- Wageningen UR, Laboratory of Plant Physiology, Wageningen, 6708 PB, The Netherlands
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Campbell MT, Knecht AC, Berger B, Brien CJ, Wang D, Walia H. Integrating Image-Based Phenomics and Association Analysis to Dissect the Genetic Architecture of Temporal Salinity Responses in Rice. PLANT PHYSIOLOGY 2015; 168:1476-89. [PMID: 26111541 PMCID: PMC4528749 DOI: 10.1104/pp.15.00450] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Accepted: 06/25/2015] [Indexed: 05/18/2023]
Abstract
Salinity affects a significant portion of arable land and is particularly detrimental for irrigated agriculture, which provides one-third of the global food supply. Rice (Oryza sativa), the most important food crop, is salt sensitive. The genetic resources for salt tolerance in rice germplasm exist but are underutilized due to the difficulty in capturing the dynamic nature of physiological responses to salt stress. The genetic basis of these physiological responses is predicted to be polygenic. In an effort to address this challenge, we generated temporal imaging data from 378 diverse rice genotypes across 14 d of 90 mm NaCl stress and developed a statistical model to assess the genetic architecture of dynamic salinity-induced growth responses in rice germplasm. A genomic region on chromosome 3 was strongly associated with the early growth response and was captured using visible range imaging. Fluorescence imaging identified four genomic regions linked to salinity-induced fluorescence responses. A region on chromosome 1 regulates both the fluorescence shift indicative of the longer term ionic stress and the early growth rate decline during salinity stress. We present, to our knowledge, a new approach to capture the dynamic plant responses to its environment and elucidate the genetic basis of these responses using a longitudinal genome-wide association model.
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Affiliation(s)
- Malachy T Campbell
- Department of Agronomy and Horticulture (M.T.C., H.W.), Holland Computing Center (A.C.K.), and Department of Statistics (D.W.), University of Nebraska, Lincoln, Nebraska 68583;The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Urrbrae, South Australia 5064, Australia (B.B.); andPhenomics and Bioinformatics Research Centre, University of South Australia, Adelaide, South Australia 5001, Australia (C.J.B.)
| | - Avi C Knecht
- Department of Agronomy and Horticulture (M.T.C., H.W.), Holland Computing Center (A.C.K.), and Department of Statistics (D.W.), University of Nebraska, Lincoln, Nebraska 68583;The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Urrbrae, South Australia 5064, Australia (B.B.); andPhenomics and Bioinformatics Research Centre, University of South Australia, Adelaide, South Australia 5001, Australia (C.J.B.)
| | - Bettina Berger
- Department of Agronomy and Horticulture (M.T.C., H.W.), Holland Computing Center (A.C.K.), and Department of Statistics (D.W.), University of Nebraska, Lincoln, Nebraska 68583;The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Urrbrae, South Australia 5064, Australia (B.B.); andPhenomics and Bioinformatics Research Centre, University of South Australia, Adelaide, South Australia 5001, Australia (C.J.B.)
| | - Chris J Brien
- Department of Agronomy and Horticulture (M.T.C., H.W.), Holland Computing Center (A.C.K.), and Department of Statistics (D.W.), University of Nebraska, Lincoln, Nebraska 68583;The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Urrbrae, South Australia 5064, Australia (B.B.); andPhenomics and Bioinformatics Research Centre, University of South Australia, Adelaide, South Australia 5001, Australia (C.J.B.)
| | - Dong Wang
- Department of Agronomy and Horticulture (M.T.C., H.W.), Holland Computing Center (A.C.K.), and Department of Statistics (D.W.), University of Nebraska, Lincoln, Nebraska 68583;The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Urrbrae, South Australia 5064, Australia (B.B.); andPhenomics and Bioinformatics Research Centre, University of South Australia, Adelaide, South Australia 5001, Australia (C.J.B.)
| | - Harkamal Walia
- Department of Agronomy and Horticulture (M.T.C., H.W.), Holland Computing Center (A.C.K.), and Department of Statistics (D.W.), University of Nebraska, Lincoln, Nebraska 68583;The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Urrbrae, South Australia 5064, Australia (B.B.); andPhenomics and Bioinformatics Research Centre, University of South Australia, Adelaide, South Australia 5001, Australia (C.J.B.)
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Campbell MT, Knecht AC, Berger B, Brien CJ, Wang D, Walia H. Integrating Image-Based Phenomics and Association Analysis to Dissect the Genetic Architecture of Temporal Salinity Responses in Rice. PLANT PHYSIOLOGY 2015; 168:1476-1489. [PMID: 26111541 DOI: 10.1104/pp15.00450] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Accepted: 06/25/2015] [Indexed: 05/26/2023]
Abstract
Salinity affects a significant portion of arable land and is particularly detrimental for irrigated agriculture, which provides one-third of the global food supply. Rice (Oryza sativa), the most important food crop, is salt sensitive. The genetic resources for salt tolerance in rice germplasm exist but are underutilized due to the difficulty in capturing the dynamic nature of physiological responses to salt stress. The genetic basis of these physiological responses is predicted to be polygenic. In an effort to address this challenge, we generated temporal imaging data from 378 diverse rice genotypes across 14 d of 90 mm NaCl stress and developed a statistical model to assess the genetic architecture of dynamic salinity-induced growth responses in rice germplasm. A genomic region on chromosome 3 was strongly associated with the early growth response and was captured using visible range imaging. Fluorescence imaging identified four genomic regions linked to salinity-induced fluorescence responses. A region on chromosome 1 regulates both the fluorescence shift indicative of the longer term ionic stress and the early growth rate decline during salinity stress. We present, to our knowledge, a new approach to capture the dynamic plant responses to its environment and elucidate the genetic basis of these responses using a longitudinal genome-wide association model.
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Affiliation(s)
- Malachy T Campbell
- Department of Agronomy and Horticulture (M.T.C., H.W.), Holland Computing Center (A.C.K.), and Department of Statistics (D.W.), University of Nebraska, Lincoln, Nebraska 68583;The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Urrbrae, South Australia 5064, Australia (B.B.); andPhenomics and Bioinformatics Research Centre, University of South Australia, Adelaide, South Australia 5001, Australia (C.J.B.)
| | - Avi C Knecht
- Department of Agronomy and Horticulture (M.T.C., H.W.), Holland Computing Center (A.C.K.), and Department of Statistics (D.W.), University of Nebraska, Lincoln, Nebraska 68583;The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Urrbrae, South Australia 5064, Australia (B.B.); andPhenomics and Bioinformatics Research Centre, University of South Australia, Adelaide, South Australia 5001, Australia (C.J.B.)
| | - Bettina Berger
- Department of Agronomy and Horticulture (M.T.C., H.W.), Holland Computing Center (A.C.K.), and Department of Statistics (D.W.), University of Nebraska, Lincoln, Nebraska 68583;The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Urrbrae, South Australia 5064, Australia (B.B.); andPhenomics and Bioinformatics Research Centre, University of South Australia, Adelaide, South Australia 5001, Australia (C.J.B.)
| | - Chris J Brien
- Department of Agronomy and Horticulture (M.T.C., H.W.), Holland Computing Center (A.C.K.), and Department of Statistics (D.W.), University of Nebraska, Lincoln, Nebraska 68583;The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Urrbrae, South Australia 5064, Australia (B.B.); andPhenomics and Bioinformatics Research Centre, University of South Australia, Adelaide, South Australia 5001, Australia (C.J.B.)
| | - Dong Wang
- Department of Agronomy and Horticulture (M.T.C., H.W.), Holland Computing Center (A.C.K.), and Department of Statistics (D.W.), University of Nebraska, Lincoln, Nebraska 68583;The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Urrbrae, South Australia 5064, Australia (B.B.); andPhenomics and Bioinformatics Research Centre, University of South Australia, Adelaide, South Australia 5001, Australia (C.J.B.)
| | - Harkamal Walia
- Department of Agronomy and Horticulture (M.T.C., H.W.), Holland Computing Center (A.C.K.), and Department of Statistics (D.W.), University of Nebraska, Lincoln, Nebraska 68583;The Plant Accelerator, Australian Plant Phenomics Facility, University of Adelaide, Urrbrae, South Australia 5064, Australia (B.B.); andPhenomics and Bioinformatics Research Centre, University of South Australia, Adelaide, South Australia 5001, Australia (C.J.B.)
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Downie HF, Adu MO, Schmidt S, Otten W, Dupuy LX, White PJ, Valentine TA. Challenges and opportunities for quantifying roots and rhizosphere interactions through imaging and image analysis. PLANT, CELL & ENVIRONMENT 2015; 38:1213-32. [PMID: 25211059 DOI: 10.1111/pce.12448] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Revised: 08/02/2014] [Accepted: 08/25/2014] [Indexed: 05/19/2023]
Abstract
The morphology of roots and root systems influences the efficiency by which plants acquire nutrients and water, anchor themselves and provide stability to the surrounding soil. Plant genotype and the biotic and abiotic environment significantly influence root morphology, growth and ultimately crop yield. The challenge for researchers interested in phenotyping root systems is, therefore, not just to measure roots and link their phenotype to the plant genotype, but also to understand how the growth of roots is influenced by their environment. This review discusses progress in quantifying root system parameters (e.g. in terms of size, shape and dynamics) using imaging and image analysis technologies and also discusses their potential for providing a better understanding of root:soil interactions. Significant progress has been made in image acquisition techniques, however trade-offs exist between sample throughput, sample size, image resolution and information gained. All of these factors impact on downstream image analysis processes. While there have been significant advances in computation power, limitations still exist in statistical processes involved in image analysis. Utilizing and combining different imaging systems, integrating measurements and image analysis where possible, and amalgamating data will allow researchers to gain a better understanding of root:soil interactions.
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Affiliation(s)
- H F Downie
- The SIMBIOS Centre, Abertay University, Dundee, DD1 1HG, UK
- Ecological Sciences, The James Hutton Institute, Dundee, DD2 5DA, UK
| | - M O Adu
- Ecological Sciences, The James Hutton Institute, Dundee, DD2 5DA, UK
- Plant and Crop Sciences Division, School of Biosciences, University of Nottingham, Leicestershire, LE12 5RD, UK
| | - S Schmidt
- The SIMBIOS Centre, Abertay University, Dundee, DD1 1HG, UK
| | - W Otten
- The SIMBIOS Centre, Abertay University, Dundee, DD1 1HG, UK
| | - L X Dupuy
- Ecological Sciences, The James Hutton Institute, Dundee, DD2 5DA, UK
| | - P J White
- Ecological Sciences, The James Hutton Institute, Dundee, DD2 5DA, UK
- King Saud University, Riyadh, Saudi Arabia
| | - T A Valentine
- Ecological Sciences, The James Hutton Institute, Dundee, DD2 5DA, UK
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De Vos D, Vissenberg K, Broeckhove J, Beemster GTS. Putting theory to the test: which regulatory mechanisms can drive realistic growth of a root? PLoS Comput Biol 2014; 10:e1003910. [PMID: 25358093 PMCID: PMC4214622 DOI: 10.1371/journal.pcbi.1003910] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Accepted: 09/15/2014] [Indexed: 01/20/2023] Open
Abstract
In recent years there has been a strong development of computational approaches to mechanistically understand organ growth regulation in plants. In this study, simulation methods were used to explore which regulatory mechanisms can lead to realistic output at the cell and whole organ scale and which other possibilities must be discarded as they result in cellular patterns and kinematic characteristics that are not consistent with experimental observations for the Arabidopsis thaliana primary root. To aid in this analysis, a ‘Uniform Longitudinal Strain Rule’ (ULSR) was formulated as a necessary condition for stable, unidirectional, symplastic growth. Our simulations indicate that symplastic structures are robust to differences in longitudinal strain rates along the growth axis only if these differences are small and short-lived. Whereas simple cell-autonomous regulatory rules based on counters and timers can produce stable growth, it was found that steady developmental zones and smooth transitions in cell lengths are not feasible. By introducing spatial cues into growth regulation, those inadequacies could be avoided and experimental data could be faithfully reproduced. Nevertheless, a root growth model based on previous polar auxin-transport mechanisms violates the proposed ULSR due to the presence of lateral gradients. Models with layer-specific regulation or layer-driven growth offer potential solutions. Alternatively, a model representing the known cross-talk between auxin, as the cell proliferation promoting factor, and cytokinin, as the cell differentiation promoting factor, predicts the effect of hormone-perturbations on meristem size. By down-regulating PIN-mediated transport through the transcription factor SHY2, cytokinin effectively flattens the lateral auxin gradient, at the basal boundary of the division zone, (thereby imposing the ULSR) to signal the exit of proliferation and start of elongation. This model exploration underlines the value of generating virtual root growth kinematics to dissect and understand the mechanisms controlling this biological system. The growth of a plant root is driven by cell division and cell expansion occurring in spatially distinct developmental zones. Although these zones are in principle stable, depending on the conditions, their size and properties can be modulated. This has been meticulously described by kinematic studies, which have led to the proposal of mechanisms underpinning those observations. At the same time, much knowledge of the identities and interactions of molecules involved in these mechanisms has accumulated, in particular from the model species Arabidopsis thaliana. Here we attempt to resolve the longstanding question whether observed growth patterns can be explained by autonomous decision-making at the level of individual cells or if the aid of some external signal is required. We then ask, building on the accumulated molecular information, which minimal models can provide for stable growth while keeping sufficient flexibility to regulate growth. Therefore, we constructed computational models for different growth mechanisms operating in a virtual two-dimensional Arabidopsis root and compared their behaviour with biological experiments. The simulations provide strong indications that spatial signals are required for realistic and flexible root growth, likely orchestrated by the plant hormones auxin and cytokinin.
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Affiliation(s)
- Dirk De Vos
- Molecular Plant Physiology and Biotechnology, Department of Biology, University of Antwerp, Antwerp, Belgium
| | - Kris Vissenberg
- Plant Growth and Development, Department of Biology, University of Antwerp, Antwerp, Belgium
| | - Jan Broeckhove
- Computational Modelling and Programming, Department of Mathematics and Informatics, University of Antwerp, Antwerp, Belgium
| | - Gerrit T. S. Beemster
- Molecular Plant Physiology and Biotechnology, Department of Biology, University of Antwerp, Antwerp, Belgium
- * E-mail:
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39
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Shih HW, Miller ND, Dai C, Spalding EP, Monshausen GB. The receptor-like kinase FERONIA is required for mechanical signal transduction in Arabidopsis seedlings. Curr Biol 2014; 24:1887-92. [PMID: 25127214 DOI: 10.1016/j.cub.2014.06.064] [Citation(s) in RCA: 207] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2014] [Revised: 06/20/2014] [Accepted: 06/25/2014] [Indexed: 12/21/2022]
Abstract
Among the myriad cues that constantly inform plant growth and development, mechanical forces are unique in that they are an intrinsic result of cellular turgor pressure and also imposed by the environment. Although the key role of mechanical forces in shaping plant architecture from the cellular level to the level of organ formation is well established, the components of the early mechanical signal transduction machinery remain to be defined at the molecular level. Here, we show that an Arabidopsis mutant lacking the receptor-like kinase FERONIA (FER) shows severely altered Ca(2+) signaling and growth responses to different forms of mechanical perturbation. Ca(2+) signals are either abolished or exhibit qualitatively different signatures in feronia (fer) mutants exposed to local touch or bending stimulation. Furthermore, mechanically induced upregulation of known touch-responsive genes is significantly decreased in fer mutants. In addition to these defects in mechanical signaling, fer mutants also exhibit growth phenotypes consistent with impaired mechanical development, including biased root skewing, an inability to penetrate hard agar layers, and abnormal growth responses to impenetrable obstacles. Finally, high-resolution kinematic analysis of root growth revealed that fer mutants show pronounced spatiotemporal fluctuations in root cell expansion profiles with a timescale of minutes. Based on these results, we propose that FER is a key regulator of mechanical Ca(2+) signaling and that FER-dependent mechanical signaling functions to regulate growth in response to external or intrinsic mechanical forces.
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Affiliation(s)
- Han-Wei Shih
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Nathan D Miller
- Department of Botany, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Cheng Dai
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Edgar P Spalding
- Department of Botany, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Gabriele B Monshausen
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA.
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Dyson RJ, Vizcay-Barrena G, Band LR, Fernandes AN, French AP, Fozard JA, Hodgman TC, Kenobi K, Pridmore TP, Stout M, Wells DM, Wilson MH, Bennett MJ, Jensen OE. Mechanical modelling quantifies the functional importance of outer tissue layers during root elongation and bending. THE NEW PHYTOLOGIST 2014; 202:1212-1222. [PMID: 24641449 PMCID: PMC4286105 DOI: 10.1111/nph.12764] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2013] [Accepted: 02/02/2014] [Indexed: 05/18/2023]
Abstract
Root elongation and bending require the coordinated expansion of multiple cells of different types. These processes are regulated by the action of hormones that can target distinct cell layers. We use a mathematical model to characterise the influence of the biomechanical properties of individual cell walls on the properties of the whole tissue. Taking a simple constitutive model at the cell scale which characterises cell walls via yield and extensibility parameters, we derive the analogous tissue-level model to describe elongation and bending. To accurately parameterise the model, we take detailed measurements of cell turgor, cell geometries and wall thicknesses. The model demonstrates how cell properties and shapes contribute to tissue-level extensibility and yield. Exploiting the highly organised structure of the elongation zone (EZ) of the Arabidopsis root, we quantify the contributions of different cell layers, using the measured parameters. We show how distributions of material and geometric properties across the root cross-section contribute to the generation of curvature, and relate the angle of a gravitropic bend to the magnitude and duration of asymmetric wall softening. We quantify the geometric factors which lead to the predominant contribution of the outer cell files in driving root elongation and bending.
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Affiliation(s)
- Rosemary J Dyson
- School of Mathematics, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Gema Vizcay-Barrena
- Centre for Ultrastructural Imaging, King's College London, London, SE1 1UL, UK
| | - Leah R Band
- Centre for Plant Integrative Biology, University of Nottingham, Sutton Bonington, LE12 5RD, UK
| | - Anwesha N Fernandes
- School of Physics & Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Andrew P French
- Centre for Plant Integrative Biology, University of Nottingham, Sutton Bonington, LE12 5RD, UK
| | - John A Fozard
- Centre for Plant Integrative Biology, University of Nottingham, Sutton Bonington, LE12 5RD, UK
| | - T Charlie Hodgman
- Centre for Plant Integrative Biology, University of Nottingham, Sutton Bonington, LE12 5RD, UK
| | - Kim Kenobi
- Centre for Plant Integrative Biology, University of Nottingham, Sutton Bonington, LE12 5RD, UK
| | - Tony P Pridmore
- School of Computer Science, University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK
| | - Michael Stout
- School of Biosciences, University of Nottingham, Sutton Bonington, LE12 5RD, UK
| | - Darren M Wells
- Centre for Plant Integrative Biology, University of Nottingham, Sutton Bonington, LE12 5RD, UK
| | - Michael H Wilson
- Centre for Plant Integrative Biology, University of Nottingham, Sutton Bonington, LE12 5RD, UK
| | - Malcolm J Bennett
- Centre for Plant Integrative Biology, University of Nottingham, Sutton Bonington, LE12 5RD, UK
| | - Oliver E Jensen
- School of Mathematics, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
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41
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Sozzani R, Busch W, Spalding EP, Benfey PN. Advanced imaging techniques for the study of plant growth and development. TRENDS IN PLANT SCIENCE 2014; 19:304-10. [PMID: 24434036 PMCID: PMC4008707 DOI: 10.1016/j.tplants.2013.12.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2013] [Revised: 11/29/2013] [Accepted: 12/11/2013] [Indexed: 05/07/2023]
Abstract
A variety of imaging methodologies are being used to collect data for quantitative studies of plant growth and development from living plants. Multi-level data, from macroscopic to molecular, and from weeks to seconds, can be acquired. Furthermore, advances in parallelized and automated image acquisition enable the throughput to capture images from large populations of plants under specific growth conditions. Image-processing capabilities allow for 3D or 4D reconstruction of image data and automated quantification of biological features. These advances facilitate the integration of imaging data with genome-wide molecular data to enable systems-level modeling.
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Affiliation(s)
- Rosangela Sozzani
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC 27695, USA
| | - Wolfgang Busch
- Gregor Mendel Institute of Molecular Plant Biology, Austrian Academy of Sciences, 1030 Vienna, Austria
| | - Edgar P Spalding
- Department of Botany, University of Wisconsin, Madison, WI 53706 USA
| | - Philip N Benfey
- Department of Biology, Duke Center for Systems Biology, and Howard Hughes Medical Institute, Duke University, Durham, NC 27708, USA.
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42
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Bastien R, Douady S, Moulia B. A unifying modeling of plant shoot gravitropism with an explicit account of the effects of growth. FRONTIERS IN PLANT SCIENCE 2014; 5:136. [PMID: 24782876 PMCID: PMC3995075 DOI: 10.3389/fpls.2014.00136] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Accepted: 03/21/2014] [Indexed: 05/18/2023]
Abstract
Gravitropism, the slow reorientation of plant growth in response to gravity, is a major determinant of the form and posture of land plants. Recently a universal model of shoot gravitropism, the AC model, was presented, in which the dynamics of the tropic movement is only determined by the conflicting controls of (1) graviception that tends to curve the plants toward the vertical, and (2) proprioception that tends to keep the stem straight. This model was found to be valid for many species and over two orders of magnitude of organ size. However, the motor of the movement, the elongation, was purposely neglected in the AC model. If growth effects are to be taken into account, it is necessary to consider the material derivative, i.e., the rate of change of curvature bound to expanding and convected organ elements. Here we show that it is possible to rewrite the material equation of curvature in a compact simplified form that directly expresses the curvature variation as a function of the median elongation and of the distribution of the differential growth. By using this extended model, called the ACĖ model, growth is found to have two main destabilizing effects on the tropic movement: (1) passive orientation drift, which occurs when a curved element elongates without differential growth, and (2) fixed curvature, when an element leaves the elongation zone and is no longer able to actively change its curvature. By comparing the AC and ACĖ models to experiments, these two effects are found to be negligible. Our results show that the simplified AC mode can be used to analyze gravitropism and posture control in actively elongating plant organs without significant information loss.
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Affiliation(s)
- Renaud Bastien
- Institut Jean-Pierre Bourgin, UMR1318 INRA-AgroParisTechVersailles, France
- UMR 547 PIAF, INRAClermont-Ferrand Cedex 01, France
- UMR 547 PIAF, BP 10448, Clermont Université, Université Blaise PascalClermont-Ferrand, France
- Matière et Systèmes Complexes, Université Paris-DiderotParis Cedex 13, France
- Department of Physics, School of Engineering and Applied Sciences, Harvard UniversityCambridge, MA, USA
- *Correspondence: Renaud Bastien, Department of Physics, School of Engineering and Applied Sciences, Harvard University, Pierce Hall 324, 29 Oxford Street, Cambridge, MA 02138, USA e-mail:
| | - Stéphane Douady
- Matière et Systèmes Complexes, Université Paris-DiderotParis Cedex 13, France
| | - Bruno Moulia
- UMR 547 PIAF, INRAClermont-Ferrand Cedex 01, France
- UMR 547 PIAF, BP 10448, Clermont Université, Université Blaise PascalClermont-Ferrand, France
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43
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Nakielski J, Lipowczan M. Spatial and directional variation of growth rates in Arabidopsis root apex: a modelling study. PLoS One 2013; 8:e84337. [PMID: 24367654 PMCID: PMC3867472 DOI: 10.1371/journal.pone.0084337] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2013] [Accepted: 11/21/2013] [Indexed: 11/18/2022] Open
Abstract
Growth and cellular organization of the Arabidopsis root apex are investigated in various aspects, but still little is known about spatial and directional variation of growth rates in very apical part of the apex, especially in 3D. The present paper aims to fill this gap with the aid of a computer modelling based on the growth tensor method. The root apex with a typical shape and cellular pattern is considered. Previously, on the basis of two types of empirical data: the published velocity profile along the root axis and dimensions of cell packets formed in the lateral part of the root cap, the displacement velocity field for the root apex was determined. Here this field is adopted to calculate the linear growth rate in different points and directions. The results are interpreted taking principal growth directions into account. The root apex manifests a significant anisotropy of the linear growth rate. The directional preferences depend on a position within the root apex. In the root proper the rate in the periclinal direction predominates everywhere, while in the root cap the predominating direction varies with distance from the quiescent centre. The rhizodermis is distinguished from the neighbouring tissues (cortex, root cap) by relatively high contribution of the growth rate in the anticlinal direction. The degree of growth anisotropy calculated for planes defined by principal growth directions and exemplary cell walls may be as high as 25. The changes in the growth rate variation are modelled.
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Affiliation(s)
- Jerzy Nakielski
- Department of Biophysics and Morphogenesis of Plants, University of Silesia, Katowice, Poland
- * E-mail:
| | - Marcin Lipowczan
- Department of Biophysics and Morphogenesis of Plants, University of Silesia, Katowice, Poland
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44
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Ivakov A, Persson S. Plant cell shape: modulators and measurements. FRONTIERS IN PLANT SCIENCE 2013; 4:439. [PMID: 24312104 PMCID: PMC3832843 DOI: 10.3389/fpls.2013.00439] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2013] [Accepted: 10/14/2013] [Indexed: 05/19/2023]
Abstract
Plant cell shape, seen as an integrative output, is of considerable interest in various fields, such as cell wall research, cytoskeleton dynamics and biomechanics. In this review we summarize the current state of knowledge on cell shape formation in plants focusing on shape of simple cylindrical cells, as well as in complex multipolar cells such as leaf pavement cells and trichomes. We summarize established concepts as well as recent additions to the understanding of how cells construct cell walls of a given shape and the underlying processes. These processes include cell wall synthesis, activity of the actin and microtubule cytoskeletons, in particular their regulation by microtubule associated proteins, actin-related proteins, GTP'ases and their effectors, as well as the recently-elucidated roles of plant hormone signaling and vesicular membrane trafficking. We discuss some of the challenges in cell shape research with a particular emphasis on quantitative imaging and statistical analysis of shape in 2D and 3D, as well as novel developments in this area. Finally, we review recent examples of the use of novel imaging techniques and how they have contributed to our understanding of cell shape formation.
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Affiliation(s)
- Alexander Ivakov
- *Correspondence: Alexander Ivakov and Staffan Persson, Max-Planck-Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476 Potsdam, Germany e-mail: ;
| | - Staffan Persson
- *Correspondence: Alexander Ivakov and Staffan Persson, Max-Planck-Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476 Potsdam, Germany e-mail: ;
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45
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Mielewczik M, Friedli M, Kirchgessner N, Walter A. Diel leaf growth of soybean: a novel method to analyze two-dimensional leaf expansion in high temporal resolution based on a marker tracking approach (Martrack Leaf). PLANT METHODS 2013; 9:30. [PMID: 23883317 PMCID: PMC3750653 DOI: 10.1186/1746-4811-9-30] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2013] [Accepted: 07/12/2013] [Indexed: 05/28/2023]
Abstract
BACKGROUND We present a novel method for quantitative analysis of dicot leaf expansion at high temporal resolution. Image sequences of growing leaves were assessed using a marker tracking algorithm. An important feature of the method is the attachment of dark beads that serve as artificial landmarks to the leaf margin. The beads are mechanically constricted to the focal plane of a camera. Leaf expansion is approximated by the increase in area of the polygon defined by the centers of mass of the beads surrounding the leaf. Fluctuating illumination conditions often pose serious problems for tracking natural structures of a leaf; this problem is circumvented here by the use of the beads. RESULTS The new method has been used to assess leaf growth in environmental situations with different illumination conditions that are typical in agricultural and biological experiments: Constant illumination via fluorescent light tubes in a climate chamber, a mix of natural and artificial illumination in a greenhouse and natural illumination of the situation on typical summer days in the field. Typical features of diel (24h) soybean leaf growth patterns were revealed in all three conditions, thereby demonstrating the general applicability of the method. Algorithms are provided to the entire community interested in using such approaches. CONCLUSIONS The implementation Martrack Leaf presented here is a robust method to investigate diel leaf growth rhythms both under natural and artificial illumination conditions. It will be beneficial for the further elucidation of genotype x environment x management interactions affecting leaf growth processes.
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Affiliation(s)
- Michael Mielewczik
- ETH Zürich, Institute of Agricultural Sciences, Universitätstr. 2, CH-8092 Zürich, Switzerland
| | - Michael Friedli
- ETH Zürich, Institute of Agricultural Sciences, Universitätstr. 2, CH-8092 Zürich, Switzerland
| | - Norbert Kirchgessner
- ETH Zürich, Institute of Agricultural Sciences, Universitätstr. 2, CH-8092 Zürich, Switzerland
| | - Achim Walter
- ETH Zürich, Institute of Agricultural Sciences, Universitätstr. 2, CH-8092 Zürich, Switzerland
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46
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Fozard JA, Lucas M, King JR, Jensen OE. Vertex-element models for anisotropic growth of elongated plant organs. FRONTIERS IN PLANT SCIENCE 2013; 4:233. [PMID: 23847638 PMCID: PMC3706750 DOI: 10.3389/fpls.2013.00233] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2013] [Accepted: 06/13/2013] [Indexed: 05/09/2023]
Abstract
New tools are required to address the challenge of relating plant hormone levels, hormone responses, wall biochemistry and wall mechanical properties to organ-scale growth. Current vertex-based models (applied in other contexts) can be unsuitable for simulating the growth of elongated organs such as roots because of the large aspect ratio of the cells, and these models fail to capture the mechanical properties of cell walls in sufficient detail. We describe a vertex-element model which resolves individual cells and includes anisotropic non-linear viscoelastic mechanical properties of cell walls and cell division whilst still being computationally efficient. We show that detailed consideration of the cell walls in the plane of a 2D simulation is necessary when cells have large aspect ratio, such as those in the root elongation zone of Arabidopsis thaliana, in order to avoid anomalous transverse swelling. We explore how differences in the mechanical properties of cells across an organ can result in bending and how cellulose microfibril orientation affects macroscale growth. We also demonstrate that the model can be used to simulate growth on realistic geometries, for example that of the primary root apex, using moderate computational resources. The model shows how macroscopic root shape can be sensitive to fine-scale cellular geometries.
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Affiliation(s)
- John A. Fozard
- Agricultural and Environmental Sciences, Centre for Plant Integrative Biology, School of Biosciences, University of NottinghamLeics, UK
| | - Mikaël Lucas
- Institut de Recherche pour le Développement, UMR DIADEMontpellier, France
| | - John R. King
- Agricultural and Environmental Sciences, Centre for Plant Integrative Biology, School of Biosciences, University of NottinghamLeics, UK
- School of Mathematical Sciences, University of NottinghamNottingham, UK
| | - Oliver E. Jensen
- Agricultural and Environmental Sciences, Centre for Plant Integrative Biology, School of Biosciences, University of NottinghamLeics, UK
- School of Mathematics, University of ManchesterManchester, UK
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47
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Landrein B, Hamant O. How mechanical stress controls microtubule behavior and morphogenesis in plants: history, experiments and revisited theories. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2013; 75:324-38. [PMID: 23551516 DOI: 10.1111/tpj.12188] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2012] [Revised: 03/11/2013] [Accepted: 03/20/2013] [Indexed: 05/19/2023]
Abstract
Microtubules have a key role in plant morphogenesis, as they control the oriented deposition of cellulose in the cell wall, and thus growth anisotropy. The idea that mechanical stress could be one of the main determinants behind the orientation of microtubules in plant cells emerged very soon after their discovery. The cause of mechanical stress in plant cells is turgor pressure, which can build up to 1 MPa and is restrained by cell wall stiffness. On the tissue scale, this can lead to regional patterns of tension, in particular in the epidermis of aerial organs, which resist the stress generated by cells in internal tissues. Here we summarize more than 50 years of work on the contribution of mechanical stress in guiding microtubule behavior, and the resulting impact on growth anisotropy and growth heterogeneity. We propose a conceptual model on microtubule dynamics and their ability to self-organize in bundles parallel to the direction of maximal stress, as well as a synthetic representation of the putative mechanotransducers at play.
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Affiliation(s)
- Benoît Landrein
- Laboratoire de Reproduction et Développement des Plantes, INRA, CNRS, ENS, UCB Lyon 1, 46 Allee d'Italie, Lyon, Cedex 07 69364, France
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48
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Ivanov VB, Dubrovsky JG. Longitudinal zonation pattern in plant roots: conflicts and solutions. TRENDS IN PLANT SCIENCE 2013; 18:237-43. [PMID: 23123304 DOI: 10.1016/j.tplants.2012.10.002] [Citation(s) in RCA: 87] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2012] [Revised: 09/27/2012] [Accepted: 10/05/2012] [Indexed: 05/21/2023]
Abstract
Despite the relative simplicity of Arabidopsis root organization, there is no general agreement regarding the terminology used to describe the longitudinal zonation pattern (LZP) of this model system. In this opinion article, we examine inconsistencies in the terminology and provide a conceptual framework for the LZP that may be applied to all angiosperms. We propose that the root apical meristem (RAM) consists of the cell-proliferation domain where cells maintain a high probability to divide and the transition domain with a low probability of cell division; in both domains cells grow at the same, relatively low, rate. Owing to stochastic termination of cell proliferation in the RAM, the border between the domains is 'fuzzy'. Molecular markers analyzed together with quantitative growth and cell analyses could help to identify developmental zones along the root and lead to a better understanding of the LZP in angiosperms.
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Affiliation(s)
- Victor B Ivanov
- Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, Botanicheskaya ul. 35, Moscow, 127276 Russia.
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49
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Spalding EP, Miller ND. Image analysis is driving a renaissance in growth measurement. CURRENT OPINION IN PLANT BIOLOGY 2013; 16:100-4. [PMID: 23352714 DOI: 10.1016/j.pbi.2013.01.001] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2012] [Revised: 01/02/2013] [Accepted: 01/03/2013] [Indexed: 05/21/2023]
Abstract
The domain of machine vision, in which digital images are acquired automatically in a highly structured environment for the purpose of computationally measuring features in the scene, is applicable to the measurement of plant growth. This article reviews the quickly growing collection of reports in which digital image-processing has been used to measure plant growth, with emphasis on the methodology and adaptations required for high-throughput studies of populations.
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Affiliation(s)
- Edgar P Spalding
- University of Wisconsin-Madison, Department of Botany, 430 Lincoln Drive, Madison, WI 53706, United States.
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Ruts T, Matsubara S, Walter A. Synchronous high-resolution phenotyping of leaf and root growth in Nicotiana tabacum over 24-h periods with GROWMAP-plant. PLANT METHODS 2013; 9:2. [PMID: 23343327 PMCID: PMC3573902 DOI: 10.1186/1746-4811-9-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2012] [Accepted: 01/17/2013] [Indexed: 05/03/2023]
Abstract
UNLABELLED BACKGROUND Root growth is highly responsive to temporal changes in the environment. On the contrary, diel (24 h) leaf expansion in dicot plants is governed by endogenous control and therefore its temporal pattern does not strictly follow diel changes in the environment. Nevertheless, root and shoot are connected with each other through resource partitioning and changing environments for one organ could affect growth of the other organ, and hence overall plant growth. RESULTS We developed a new technique, GROWMAP-plant, to monitor growth processes synchronously in leaf and root of the same plant with a high resolution over the diel period. This allowed us to quantify treatment effects on the growth rates of the treated and non-treated organ and the possible interaction between them. We subjected the root system of Nicotiana tabacum seedlings to three different conditions: constant darkness at 22°C (control), constant darkness at 10°C (root cooling), and 12 h/12 h light-dark cycles at 22°C (root illumination). In all treatments the shoot was kept under the same 12 h/12 h light-dark cycles at 22°C. Root growth rates were found to be constant when the root-zone environment was kept constant, although the root cooling treatment significantly reduced root growth. Root velocity was decreased after light-on and light-off events of the root illumination treatment, resulting in diel root growth rhythmicity. Despite these changes in root growth, leaf growth was not affected substantially by the root-zone treatments, persistently showing up to three times higher nocturnal growth than diurnal growth. CONCLUSION GROWMAP-plant allows detailed synchronous growth phenotyping of leaf and root in the same plant. Root growth was very responsive to the root cooling and root illumination, while these treatments altered neither relative growth rate nor diel growth pattern in the seedling leaf. Our results that were obtained simultaneously in growing leaves and roots of the same plants corroborate the high sensitivity of root growth to the environment and the contrasting robustness of diel growth patterns in dicot leaves. Further, they also underpin the importance to carefully control the experimental conditions for root growth analysis to avoid or/and minimize artificial complications.
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Affiliation(s)
- Tom Ruts
- Forschungszentrum Jülich GmbH, IBG-2: Plant Sciences, Jülich, Germany
| | - Shizue Matsubara
- Forschungszentrum Jülich GmbH, IBG-2: Plant Sciences, Jülich, Germany
| | - Achim Walter
- Forschungszentrum Jülich GmbH, IBG-2: Plant Sciences, Jülich, Germany
- ETH Zürich, Institute for Agricultural Sciences, Zürich, Switzerland
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