Cargando…
Volatilomics: a non-invasive technique for screening plant phenotypic traits
BACKGROUND: Climate change represents a grand challenge for agricultural productivity. Understanding complex plant traits such as stress tolerance, disease resistance or crop yield is thus essential for breeding and the development of sustainable agriculture strategies. When screening for the most r...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6297985/ https://www.ncbi.nlm.nih.gov/pubmed/30568721 http://dx.doi.org/10.1186/s13007-018-0378-4 |
_version_ | 1783381241298419712 |
---|---|
author | Jud, Werner Winkler, J. Barbro Niederbacher, Bishu Niederbacher, Simon Schnitzler, Jörg-Peter |
author_facet | Jud, Werner Winkler, J. Barbro Niederbacher, Bishu Niederbacher, Simon Schnitzler, Jörg-Peter |
author_sort | Jud, Werner |
collection | PubMed |
description | BACKGROUND: Climate change represents a grand challenge for agricultural productivity. Understanding complex plant traits such as stress tolerance, disease resistance or crop yield is thus essential for breeding and the development of sustainable agriculture strategies. When screening for the most robust plant phenotypes, fast, high-throughput phenotyping represents the means of choice. RESULTS: We have developed a plant phenotyping platform to measure the emission of volatile organic compounds (VOCs), photosynthetic gas exchange and transpiration under ambient, or abiotic and biotic stress conditions. These parameters are highly suitable markers to non-invasively and dynamically study plant growth and plant stress status, making them perfect test variables for long-term, online plant monitoring. Here we introduce the new phenotyping platform, termed VOC-SCREEN, and present results of a first case study with three barley cultivars, demonstrating that the plant’s volatilome can be successfully applied to discriminate different barley varieties. CONCLUSION: Volatilomics is a promising technique to non-invasively screen for plant phenotypic traits. |
format | Online Article Text |
id | pubmed-6297985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62979852018-12-19 Volatilomics: a non-invasive technique for screening plant phenotypic traits Jud, Werner Winkler, J. Barbro Niederbacher, Bishu Niederbacher, Simon Schnitzler, Jörg-Peter Plant Methods Methodology BACKGROUND: Climate change represents a grand challenge for agricultural productivity. Understanding complex plant traits such as stress tolerance, disease resistance or crop yield is thus essential for breeding and the development of sustainable agriculture strategies. When screening for the most robust plant phenotypes, fast, high-throughput phenotyping represents the means of choice. RESULTS: We have developed a plant phenotyping platform to measure the emission of volatile organic compounds (VOCs), photosynthetic gas exchange and transpiration under ambient, or abiotic and biotic stress conditions. These parameters are highly suitable markers to non-invasively and dynamically study plant growth and plant stress status, making them perfect test variables for long-term, online plant monitoring. Here we introduce the new phenotyping platform, termed VOC-SCREEN, and present results of a first case study with three barley cultivars, demonstrating that the plant’s volatilome can be successfully applied to discriminate different barley varieties. CONCLUSION: Volatilomics is a promising technique to non-invasively screen for plant phenotypic traits. BioMed Central 2018-12-18 /pmc/articles/PMC6297985/ /pubmed/30568721 http://dx.doi.org/10.1186/s13007-018-0378-4 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Jud, Werner Winkler, J. Barbro Niederbacher, Bishu Niederbacher, Simon Schnitzler, Jörg-Peter Volatilomics: a non-invasive technique for screening plant phenotypic traits |
title | Volatilomics: a non-invasive technique for screening plant phenotypic traits |
title_full | Volatilomics: a non-invasive technique for screening plant phenotypic traits |
title_fullStr | Volatilomics: a non-invasive technique for screening plant phenotypic traits |
title_full_unstemmed | Volatilomics: a non-invasive technique for screening plant phenotypic traits |
title_short | Volatilomics: a non-invasive technique for screening plant phenotypic traits |
title_sort | volatilomics: a non-invasive technique for screening plant phenotypic traits |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6297985/ https://www.ncbi.nlm.nih.gov/pubmed/30568721 http://dx.doi.org/10.1186/s13007-018-0378-4 |
work_keys_str_mv | AT judwerner volatilomicsanoninvasivetechniqueforscreeningplantphenotypictraits AT winklerjbarbro volatilomicsanoninvasivetechniqueforscreeningplantphenotypictraits AT niederbacherbishu volatilomicsanoninvasivetechniqueforscreeningplantphenotypictraits AT niederbachersimon volatilomicsanoninvasivetechniqueforscreeningplantphenotypictraits AT schnitzlerjorgpeter volatilomicsanoninvasivetechniqueforscreeningplantphenotypictraits |