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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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.
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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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