Root System Architecture from Coupling Cell Shape to Auxin Transport
By M. Laskowski, V. Grieneisen, Hugo Hofhuis, C. A. T. Hove, P. Hogeweg, A. F. Marée, Ben Scheres. PLoS Biology, 2008
1,107 citations recorded by the source corpus.
Lateral organ position along roots and shoots largely determines plant architecture, and depends on auxin distribution patterns. Determination of the underlying patterning mechanisms has hitherto been complicated because they operate during growth and division. Here, we show by experiments and computational modeling that curvature of the Arabidopsis root influences cell sizes, which, together with tissue properties that determine auxin transport, induces higher auxin levels in the pericycle cells on the outside of the curve. The abundance and position of the auxin transporters restricts this response to the zone competent for lateral root formation. The auxin import facilitator, AUX1, is up-regulated by auxin, resulting in additional local auxin import, thus creating a new auxin maximum that triggers organ formation. Longitudinal spacing of lateral roots is modulated by PIN proteins that promote auxin efflux, and pin2,3,7 triple mutants show impaired lateral inhibition. Thus, lateral root patterning combines a trigger, such as cell size difference due to bending, with a self-organizing system that mediates alterations in auxin transport.
Subfields: Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/1be65f667031f4d379c7fe9ccda86c3e030f0ffb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Bernhard O. Palsson
- Jason A. Papin
- Tom M. Conrad
- Matthew A. Oberhardt
- Jan Schellenberger
- Junyoung O. Park
- Alvis Brazma
- Richard H. Scheuermann
In Plant Science
Citations in the corpus
- Automatic gait recognition based on statistical shape analysis (2003, neutral): “[8] described an automatic gait recognition method using the generalized symmetry operator, and Foster et al.”
- ArrayExpress update—from an archive of functional genomics experiments to the atlas of gene expression (2008, background): “Other improvements include more flexible data access, web services, the support of the MAGE-TAB format (6), direct import from”
- Social signal processing: Survey of an emerging domain (2009, neutral): “), and then to represent their geometry during walking through vectors of distances [206], symmetry operators [78], geometric features of body and stride (e.”
- The Ontology for Biomedical Investigations (2016, background): “The workflow of the ISA system has been validated and is compatible with existing technology centric formats (e.g. MAGE-TAB for ArrayExpress [37] and Sequence Read Archive (SRA) EXtensible Markup Language (XML) for ENA [36], respectively).”
- The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition (2012, neutral): “The Soton database is composed of a small population dataset [15] and a large population dataset [14].”
- Applications of genome-scale metabolic reconstructions (2009, methodology): “In one analysis, the proximity of in vivo transposon-disrupted genes to downstream essential genes was compared with the in silico essentiality of the transposon-disrupted genes using a metabolic GENRE of Pseudomonas aeruginosa (Oberhardt et al, 2008).”
- A Parsimony Approach to Biological Pathway Reconstruction/Inference for Genomes and Metagenomes (2009, background): “Even for single complete genomes, pathway reconstruction does not always give a clear picture of the biological functions in an organism, and human curation and experimental verification is often needed [20,21].”
- BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions (2010, background): “This has spurred the development of an ever increasing number of reconstructions [16-22].”
- Biometric Gait Authentication Using Accelerometer Sensor (2006, neutral): “Barclay et al. [13] showed that humans can also recognize the gender of the walker from MLD. Earlier studies on visionbased gait recognition showed promising results, usually with small sample sizes [14], [15], [16], [17], [18], [19].”
- Auxin control of root development. (2010, positive): “In computer-based models, the source of IAA, whether simulated as being applied or produced endogenously, does not affect the maintenance of the auxin maximum (Laskowski et al. 2008).”
- The humanID gait challenge problem: data sets, performance, and analysis (2005, neutral): “It is only recently that human identification (HumanID ) from gait has received attention and become an active area of computer vision [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29].”