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Characterizing root response phenotypes by neural network analysis.

Hatzig SV, Schiessl S, Stahl A, Snowdon RJ - J. Exp. Bot. (2015)

Bottom Line: Interactive changes in root architecture can be easily captured by individual intersection profiles generated by Sholl analysis.Validation using manual measurements confirmed that the number of lateral roots decreased, while mean lateral root length was enhanced, under osmotic stress conditions.The Sholl methodology is presented as a promising tool for selection of cultivars with advantageous root phenotypes under osmotic stress conditions.

View Article: PubMed Central - PubMed

Affiliation: Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany sarah.hatzig@agrar.uni-giessen.de.

No MeSH data available.


Examples for Sholl’s intersection masks of two contrasting extreme winter oilseed rape root phenotypes A (DR, control) and B (DR, PEG 6000).
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Figure 6: Examples for Sholl’s intersection masks of two contrasting extreme winter oilseed rape root phenotypes A (DR, control) and B (DR, PEG 6000).

Mentions: As demonstrated in the examples presented here, Sholl analysis helps to capture the interactive architectural properties of an entire root system and its response to the environment (Fig. 6). The Sholl parameters assessed revealed different root architectural and distributional responses to osmotic stress in two contrasting genotypes that seem to be involved in the manifestation of drought compatibility in B. napus. The results of the Sholl analysis suggest that root architectural characteristics are significantly influenced by osmotic stress even when such changes are not necessarily obvious from root biomass or RL (Fig. 2A,D). The absolute number of intersections captured depends particularly on the RL and on LRL and MLRL (Table 1). Sholl analysis revealed a significant increase in the absolute number of root-circle intersections in the drought-resistant genotype under osmotic stress, whereas the drought-sensitive genotype did not show a corresponding response (Fig. 3). This indicates that genotype DR has a greater reaction in the above-mentioned root properties than DS, likely conferring effective adaptation and growth maintenance under the given stress conditions.


Characterizing root response phenotypes by neural network analysis.

Hatzig SV, Schiessl S, Stahl A, Snowdon RJ - J. Exp. Bot. (2015)

Examples for Sholl’s intersection masks of two contrasting extreme winter oilseed rape root phenotypes A (DR, control) and B (DR, PEG 6000).
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4585416&req=5

Figure 6: Examples for Sholl’s intersection masks of two contrasting extreme winter oilseed rape root phenotypes A (DR, control) and B (DR, PEG 6000).
Mentions: As demonstrated in the examples presented here, Sholl analysis helps to capture the interactive architectural properties of an entire root system and its response to the environment (Fig. 6). The Sholl parameters assessed revealed different root architectural and distributional responses to osmotic stress in two contrasting genotypes that seem to be involved in the manifestation of drought compatibility in B. napus. The results of the Sholl analysis suggest that root architectural characteristics are significantly influenced by osmotic stress even when such changes are not necessarily obvious from root biomass or RL (Fig. 2A,D). The absolute number of intersections captured depends particularly on the RL and on LRL and MLRL (Table 1). Sholl analysis revealed a significant increase in the absolute number of root-circle intersections in the drought-resistant genotype under osmotic stress, whereas the drought-sensitive genotype did not show a corresponding response (Fig. 3). This indicates that genotype DR has a greater reaction in the above-mentioned root properties than DS, likely conferring effective adaptation and growth maintenance under the given stress conditions.

Bottom Line: Interactive changes in root architecture can be easily captured by individual intersection profiles generated by Sholl analysis.Validation using manual measurements confirmed that the number of lateral roots decreased, while mean lateral root length was enhanced, under osmotic stress conditions.The Sholl methodology is presented as a promising tool for selection of cultivars with advantageous root phenotypes under osmotic stress conditions.

View Article: PubMed Central - PubMed

Affiliation: Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany sarah.hatzig@agrar.uni-giessen.de.

No MeSH data available.