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Datasets from harmonised metabolic phenotyping of root, tuber and banana crop
Biochemical characterisation of germplasm collections and crop wild relatives (CWRs) facilitates the assessment of biological potential and the selection of breeding lines for crop improvement. Data from the biochemical characterisation of staple root, tuber and banana (RTB) crops, i.e. banana (Musa...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943254/ https://www.ncbi.nlm.nih.gov/pubmed/35341032 http://dx.doi.org/10.1016/j.dib.2022.108041 |
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author | Drapal, Margit Perez-Fons, Laura Price, Elliott J. Amah, Delphine Bhattacharjee, Ranjana Heider, Bettina Rouard, Mathieu Swennen, Rony Lopez-Lavalle, Luis Augusto Becerra Fraser, Paul D. |
author_facet | Drapal, Margit Perez-Fons, Laura Price, Elliott J. Amah, Delphine Bhattacharjee, Ranjana Heider, Bettina Rouard, Mathieu Swennen, Rony Lopez-Lavalle, Luis Augusto Becerra Fraser, Paul D. |
author_sort | Drapal, Margit |
collection | PubMed |
description | Biochemical characterisation of germplasm collections and crop wild relatives (CWRs) facilitates the assessment of biological potential and the selection of breeding lines for crop improvement. Data from the biochemical characterisation of staple root, tuber and banana (RTB) crops, i.e. banana (Musa spp.), cassava (Manihot esculenta), potato (Solanum tuberosum), sweet potato (Ipomoea batatas) and yam (Dioscorea spp.), using a metabolomics approach is presented. The data support the previously published research article “Metabolite database for root, tuber, and banana crops to facilitate modern breeding in understudied crops” (Price et al., 2020) [1]. Diversity panels for each crop, which included a variety of species, accessions, landraces and CWRs, were characterised. The biochemical profile for potato was based on five elite lines under abiotic stress. Metabolites were extracted from the tissue of foliage and storage organs (tuber, root and banana pulp) via solvent partition. Extracts were analysed via a combination of liquid chromatography – mass spectrometry (LC-MS), gas chromatography (GC)-MS, high pressure liquid chromatography with photodiode array detector (HPLC-PDA) and ultra performance liquid chromatography (UPLC)-PDA. Metabolites were identified by mass spectral matching to in-house libraries comprised from authentic standards and comparison to databases or previously published literature. |
format | Online Article Text |
id | pubmed-8943254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-89432542022-03-25 Datasets from harmonised metabolic phenotyping of root, tuber and banana crop Drapal, Margit Perez-Fons, Laura Price, Elliott J. Amah, Delphine Bhattacharjee, Ranjana Heider, Bettina Rouard, Mathieu Swennen, Rony Lopez-Lavalle, Luis Augusto Becerra Fraser, Paul D. Data Brief Data Article Biochemical characterisation of germplasm collections and crop wild relatives (CWRs) facilitates the assessment of biological potential and the selection of breeding lines for crop improvement. Data from the biochemical characterisation of staple root, tuber and banana (RTB) crops, i.e. banana (Musa spp.), cassava (Manihot esculenta), potato (Solanum tuberosum), sweet potato (Ipomoea batatas) and yam (Dioscorea spp.), using a metabolomics approach is presented. The data support the previously published research article “Metabolite database for root, tuber, and banana crops to facilitate modern breeding in understudied crops” (Price et al., 2020) [1]. Diversity panels for each crop, which included a variety of species, accessions, landraces and CWRs, were characterised. The biochemical profile for potato was based on five elite lines under abiotic stress. Metabolites were extracted from the tissue of foliage and storage organs (tuber, root and banana pulp) via solvent partition. Extracts were analysed via a combination of liquid chromatography – mass spectrometry (LC-MS), gas chromatography (GC)-MS, high pressure liquid chromatography with photodiode array detector (HPLC-PDA) and ultra performance liquid chromatography (UPLC)-PDA. Metabolites were identified by mass spectral matching to in-house libraries comprised from authentic standards and comparison to databases or previously published literature. Elsevier 2022-03-12 /pmc/articles/PMC8943254/ /pubmed/35341032 http://dx.doi.org/10.1016/j.dib.2022.108041 Text en © 2022 Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Drapal, Margit Perez-Fons, Laura Price, Elliott J. Amah, Delphine Bhattacharjee, Ranjana Heider, Bettina Rouard, Mathieu Swennen, Rony Lopez-Lavalle, Luis Augusto Becerra Fraser, Paul D. Datasets from harmonised metabolic phenotyping of root, tuber and banana crop |
title | Datasets from harmonised metabolic phenotyping of root, tuber and banana crop |
title_full | Datasets from harmonised metabolic phenotyping of root, tuber and banana crop |
title_fullStr | Datasets from harmonised metabolic phenotyping of root, tuber and banana crop |
title_full_unstemmed | Datasets from harmonised metabolic phenotyping of root, tuber and banana crop |
title_short | Datasets from harmonised metabolic phenotyping of root, tuber and banana crop |
title_sort | datasets from harmonised metabolic phenotyping of root, tuber and banana crop |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943254/ https://www.ncbi.nlm.nih.gov/pubmed/35341032 http://dx.doi.org/10.1016/j.dib.2022.108041 |
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