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Sensitive approach and future perspectives in microscopic patterns of mycorrhizal roots

The harmonization of methodologies for the assessment of radicular endophytic colonization is a current necessity, especially for the arbuscular mycorrhizas. The functionality of mycorrhizal symbionts for plants can be described only by indicators obtained based on microscopic analysis. That is the...

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Autores principales: Stoian, Vlad, Vidican, Roxana, Crişan, Ioana, Puia, Carmen, Şandor, Mignon, Stoian, Valentina A., Păcurar, Florin, Vaida, Ioana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6629619/
https://www.ncbi.nlm.nih.gov/pubmed/31308444
http://dx.doi.org/10.1038/s41598-019-46743-2
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author Stoian, Vlad
Vidican, Roxana
Crişan, Ioana
Puia, Carmen
Şandor, Mignon
Stoian, Valentina A.
Păcurar, Florin
Vaida, Ioana
author_facet Stoian, Vlad
Vidican, Roxana
Crişan, Ioana
Puia, Carmen
Şandor, Mignon
Stoian, Valentina A.
Păcurar, Florin
Vaida, Ioana
author_sort Stoian, Vlad
collection PubMed
description The harmonization of methodologies for the assessment of radicular endophytic colonization is a current necessity, especially for the arbuscular mycorrhizas. The functionality of mycorrhizal symbionts for plants can be described only by indicators obtained based on microscopic analysis. That is the reason for which a unifying methodology will lead to the achievement of highly correlated indicators comparable from one research to another. Our proposed methodology can further digitize the microscopic observations of colonization. The MycoPatt system is developed as a methodological framework for obtaining objective and comparable microscopic observations. The horizontal, vertical and transversal indicators are highly adaptable and allow the tracking of mycorrhizal colonization in root length. All structures developed by symbionts can be traced and the obtained metadata can be compared without any transformation. Mycorrhizal maps have a high degree of applicability in evaluating soil inoculum efficiency. In the future, the application of this method will lead to digital maps with a high degree of accuracy. MycoPatt allows the mathematical expression of colonization patterns, being a complex model that converts biological data into statistically comparable indicators. This will further allow obtaining inferences with applicative importance and similarity spectra for the colonizing fungi and host plants.
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spelling pubmed-66296192019-07-23 Sensitive approach and future perspectives in microscopic patterns of mycorrhizal roots Stoian, Vlad Vidican, Roxana Crişan, Ioana Puia, Carmen Şandor, Mignon Stoian, Valentina A. Păcurar, Florin Vaida, Ioana Sci Rep Article The harmonization of methodologies for the assessment of radicular endophytic colonization is a current necessity, especially for the arbuscular mycorrhizas. The functionality of mycorrhizal symbionts for plants can be described only by indicators obtained based on microscopic analysis. That is the reason for which a unifying methodology will lead to the achievement of highly correlated indicators comparable from one research to another. Our proposed methodology can further digitize the microscopic observations of colonization. The MycoPatt system is developed as a methodological framework for obtaining objective and comparable microscopic observations. The horizontal, vertical and transversal indicators are highly adaptable and allow the tracking of mycorrhizal colonization in root length. All structures developed by symbionts can be traced and the obtained metadata can be compared without any transformation. Mycorrhizal maps have a high degree of applicability in evaluating soil inoculum efficiency. In the future, the application of this method will lead to digital maps with a high degree of accuracy. MycoPatt allows the mathematical expression of colonization patterns, being a complex model that converts biological data into statistically comparable indicators. This will further allow obtaining inferences with applicative importance and similarity spectra for the colonizing fungi and host plants. Nature Publishing Group UK 2019-07-15 /pmc/articles/PMC6629619/ /pubmed/31308444 http://dx.doi.org/10.1038/s41598-019-46743-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Stoian, Vlad
Vidican, Roxana
Crişan, Ioana
Puia, Carmen
Şandor, Mignon
Stoian, Valentina A.
Păcurar, Florin
Vaida, Ioana
Sensitive approach and future perspectives in microscopic patterns of mycorrhizal roots
title Sensitive approach and future perspectives in microscopic patterns of mycorrhizal roots
title_full Sensitive approach and future perspectives in microscopic patterns of mycorrhizal roots
title_fullStr Sensitive approach and future perspectives in microscopic patterns of mycorrhizal roots
title_full_unstemmed Sensitive approach and future perspectives in microscopic patterns of mycorrhizal roots
title_short Sensitive approach and future perspectives in microscopic patterns of mycorrhizal roots
title_sort sensitive approach and future perspectives in microscopic patterns of mycorrhizal roots
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6629619/
https://www.ncbi.nlm.nih.gov/pubmed/31308444
http://dx.doi.org/10.1038/s41598-019-46743-2
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