Datasets from harmonised metabolic phenotyping of root, tuber
and banana crop

J 2022

Datasets from harmonised metabolic phenotyping of root, tuber and banana crop

DRAPAL, Margit, Laura PEREZ-FONS, Elliott James PRICE, Delphine AMAH, Ranjana BHATTACHARJEE et. al.

Basic information

Original name

Datasets from harmonised metabolic phenotyping of root, tuber and banana crop

Authors

DRAPAL, Margit, Laura PEREZ-FONS, Elliott James PRICE (826 United Kingdom of Great Britain and Northern Ireland, guarantor, belonging to the institution), Delphine AMAH, Ranjana BHATTACHARJEE, Bettina HEIDER, Mathieu ROUARD, Rony SWENNEN, Luis Augusto Becerra LOPEZ-LAVALLE and Paul D. FRASER

Edition

Data in Brief, Amsterdam, Elsevier, 2022, 2352-3409

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10700 1.7 Other natural sciences

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 1.200

RIV identification code

RIV/00216224:14310/22:00126136

Organization unit

Faculty of Science

DOI

http://dx.doi.org/10.1016/j.dib.2022.108041

UT WoS

000779019500026

Keywords in English

Metabolomics; underutilised crops; banana; cassava; sweet potato; yam; potato

Abstract

V originále

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.

Citovat

DRAPAL, Margit, Laura PEREZ-FONS, Elliott James PRICE, Delphine AMAH, Ranjana BHATTACHARJEE, Bettina HEIDER, Mathieu ROUARD, Rony SWENNEN, Luis Augusto Becerra LOPEZ-LAVALLE and Paul D. FRASER. Datasets from harmonised metabolic phenotyping of root, tuber and banana crop. Data in Brief. Amsterdam: Elsevier, 2022, vol. 42, June 2022, p. 1-9. ISSN 2352-3409. Available from: https://dx.doi.org/10.1016/j.dib.2022.108041.

@article{1863027,
   author = {Drapal, Margit and PerezandFons, Laura and Price, Elliott James and Amah, Delphine and Bhattacharjee, Ranjana and Heider, Bettina and Rouard, Mathieu and Swennen, Rony and LopezandLavalle, Luis Augusto Becerra and Fraser, Paul D.},
   article_location = {Amsterdam},
   article_number = {June 2022},
   doi = {http://dx.doi.org/10.1016/j.dib.2022.108041},
   keywords = {Metabolomics; underutilised crops; banana; cassava; sweet potato; yam; potato},
   language = {eng},
   issn = {2352-3409},
   journal = {Data in Brief},
   title = {Datasets from harmonised metabolic phenotyping of root, tuber and banana crop},
   url = {https://www.sciencedirect.com/science/article/pii/S2352340922002529?via%3Dihub},
   volume = {42},
   year = {2022}
}

TY  - JOUR
ID  - 1863027
AU  - Drapal, Margit - Perez-Fons, Laura - Price, Elliott James - Amah, Delphine - Bhattacharjee, Ranjana - Heider, Bettina - Rouard, Mathieu - Swennen, Rony - Lopez-Lavalle, Luis Augusto Becerra - Fraser, Paul D.
PY  - 2022
TI  - Datasets from harmonised metabolic phenotyping of root, tuber and banana crop
JF  - Data in Brief
VL  - 42
IS  - June 2022
SP  - 1-9
EP  - 1-9
PB  - Elsevier
SN  - 23523409
KW  - Metabolomics
KW  - underutilised crops
KW  - banana
KW  - cassava
KW  - sweet potato
KW  - yam
KW  - potato
UR  - https://www.sciencedirect.com/science/article/pii/S2352340922002529?via%3Dihub
N2  - 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.
ER  -

DRAPAL, Margit, Laura PEREZ-FONS, Elliott James PRICE, Delphine AMAH, Ranjana BHATTACHARJEE, Bettina HEIDER, Mathieu ROUARD, Rony SWENNEN, Luis Augusto Becerra LOPEZ-LAVALLE and Paul D. FRASER. Datasets from harmonised metabolic phenotyping of root, tuber and banana crop. \textit{Data in Brief}. Amsterdam: Elsevier, 2022, vol.~42, June 2022, p.~1-9. ISSN~2352-3409. Available from: https://dx.doi.org/10.1016/j.dib.2022.108041.

Detailed Information on Publication Record