EZ-Root-VIS: A Software Pipeline for the Rapid Analysis and Visual Reconstruction of Root System Architecture1[CC-BY]

EZ-Root-VIS is a free software package that enables the rapid quantification and visual reconstruction of averaged root system architectures for investigating environment-genotype interactions. If we want to understand how the environment has shaped the appearance and behavior of living creatures, we need to compare groups of individuals that differ in genetic makeup and environment experience. For complex phenotypic features, such as body posture or facial expression in humans, comparison is not straightforward because some of the contributing factors cannot easily be quantified or averaged across individuals. Therefore, computational methods are used to reconstruct representative prototypes using a range of algorithms for filling in missing information and calculating means. The same problem applies to the root system architecture (RSA) of plants. Several computer programs are available for extracting numerical data from root images, but they usually do not offer customized data analysis or visual reconstruction of RSA. We developed Root-VIS, a free software tool that facilitates the determination of means and variance of many different RSA features across user-selected sets of root images. Furthermore, Root-VIS offers several options to generate visual reconstructions of root systems from the averaged data to enable screening and modeling. We confirmed the suitability of Root-VIS, combined with a new version of EZ-Rhizo, for the rapid characterization of genotype-environment interactions and gene discovery through genome-wide association studies in Arabidopsis (Arabidopsis thaliana).

[1]  C. Messier,et al.  WinRHlZO™, a Root-measuring System with a Unique Overlap Correction Method , 1995 .

[2]  M. Rossignol,et al.  Effects of phosphate availability on the root system architecture: large‐scale analysis of the natural variation between Arabidopsis accessions , 2003 .

[3]  J. Lynch,et al.  Topsoil foraging – an architectural adaptation of plants to low phosphorus availability , 2001, Plant and Soil.

[4]  Olivier Loudet,et al.  Identification of QTL controlling root growth response to phosphate starvation in Arabidopsis thaliana. , 2006, Plant, cell & environment.

[5]  Laurent Nussaume,et al.  Root tip contact with low-phosphate media reprograms plant root architecture , 2007, Nature Genetics.

[6]  P. Hogeweg,et al.  Root System Architecture from Coupling Cell Shape to Auxin Transport , 2008, PLoS biology.

[7]  A. Hills,et al.  EZ-Rhizo: integrated software for the fast and accurate measurement of root system architecture. , 2009, The Plant journal : for cell and molecular biology.

[8]  Tony P. Pridmore,et al.  Bioinformatics Applications Note Systems Biology High-throughput Feature Counting and Measurement of Roots , 2022 .

[9]  Bjarni J. Vilhjálmsson,et al.  GWAPP: A Web Application for Genome-Wide Association Mapping in Arabidopsis[W][OA] , 2012, Plant Cell.

[10]  A. Auton,et al.  Genome-wide patterns of genetic variation in worldwide Arabidopsis thaliana accessions from the RegMap panel , 2011, Nature Genetics.

[11]  X. Draye,et al.  SmartRoot : a novel image analysis toolbox enabling quantitative analysis of root system architecture , 2013 .

[12]  Fabian Kellermeier,et al.  Natural Variation of Arabidopsis Root Architecture Reveals Complementing Adaptive Strategies to Potassium Starvation1[C][W][OA] , 2013, Plant Physiology.

[13]  G. Krouk,et al.  RootScape: A Landmark-Based System for Rapid Screening of Root Architecture in Arabidopsis1[W][OA] , 2013, Plant Physiology.

[14]  Swetlana Friedel,et al.  Plasticity of the Arabidopsis Root System under Nutrient Deficiencies1[C][W][OPEN] , 2013, Plant Physiology.

[15]  Fabian Kellermeier,et al.  Phenotyping jasmonate regulation of root growth. , 2013, Methods in molecular biology.

[16]  Abhiram Das,et al.  Image-Based High-Throughput Field Phenotyping of Crop Roots1[W][OPEN] , 2014, Plant Physiology.

[17]  T. Shiina,et al.  A Scalable Open-Source Pipeline for Large-Scale Root Phenotyping of Arabidopsis[W][OPEN] , 2014, Plant Cell.

[18]  Fabian Kellermeier,et al.  Analysis of the Root System Architecture of Arabidopsis Provides a Quantitative Readout of Crosstalk between Nutritional Signals[W][OPEN] , 2014, Plant Cell.

[19]  Santosh B. Satbhai,et al.  Genome-wide association study using cellular traits identifies a new regulator of root development in Arabidopsis , 2013, Nature Genetics.

[20]  Philip N Benfey,et al.  Regulation of plant root system architecture: implications for crop advancement. , 2015, Current opinion in biotechnology.

[21]  Loïc Pagès,et al.  archiDART: an R package for the automated computation of plant root architectural traits , 2015, Plant and Soil.

[22]  Christa Testerink,et al.  Tuning plant signaling and growth to survive salt. , 2015, Trends in plant science.

[23]  Michael H. Wilson,et al.  The circadian clock rephases during lateral root organ initiation in Arabidopsis thaliana , 2015, Nature Communications.

[24]  Mathieu Javaux,et al.  Root System Markup Language: Toward a Unified Root Architecture Description Language1[OPEN] , 2015, Plant Physiology.

[25]  Jonathan P Lynch,et al.  Root phenes that reduce the metabolic costs of soil exploration: opportunities for 21st century agriculture. , 2015, Plant, cell & environment.

[26]  Ueli Grossniklaus,et al.  A subunit of the oligosaccharyltransferase complex is required for interspecific gametophyte recognition in Arabidopsis , 2016, Nature Communications.

[27]  Caroline Gutjahr,et al.  Genetic Control of Lateral Root Formation in Cereals. , 2016, Trends in plant science.

[28]  X. Draye,et al.  Analysis of root growth from a phenotyping data set using a density-based model. , 2016, Journal of experimental botany.

[29]  Sandeep Sharma,et al.  Natural variation identifies genes affecting drought-induced abscisic acid accumulation in Arabidopsis thaliana , 2017, Proceedings of the National Academy of Sciences.

[30]  Wolfgang Busch,et al.  Natural allelic variation of FRO2 modulates Arabidopsis root growth under iron deficiency , 2017, Nature Communications.

[31]  Iko T. Koevoets,et al.  The Arabidopsis leucine-rich repeat receptor kinase MIK2/LRR-KISS connects cell wall integrity sensing, root growth and response to abiotic and biotic stresses , 2017, PLoS genetics.

[32]  S. Mooney,et al.  Shaping 3D Root System Architecture , 2017, Current Biology.

[33]  Anna Amtmann,et al.  Food for thought: how nutrients regulate root system architecture , 2017, Current opinion in plant biology.

[34]  Iko T. Koevoets,et al.  Genetic Components of Root Architecture Remodeling in Response to Salt Stress[OPEN] , 2017, Plant Cell.

[35]  Mao Li,et al.  archiDART v3.0: A new data analysis pipeline allowing the topological analysis of plant root systems , 2018, F1000Research.