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.

Základní údaje

Originální název

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

Autoři

DRAPAL, Margit, Laura PEREZ-FONS, Elliott James PRICE (826 Velká Británie a Severní Irsko, garant, domácí), Delphine AMAH, Ranjana BHATTACHARJEE, Bettina HEIDER, Mathieu ROUARD, Rony SWENNEN, Luis Augusto Becerra LOPEZ-LAVALLE a Paul D. FRASER

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10700 1.7 Other natural sciences

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 1.200

Kód RIV

RIV/00216224:14310/22:00126136

Organizační jednotka

Přírodovědecká fakulta

DOI

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

UT WoS

000779019500026

Klíčová slova anglicky

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

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 27. 6. 2022 21:16, Mgr. Michaela Hylsová, Ph.D.

Anotace

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 a Paul D. FRASER. Datasets from harmonised metabolic phenotyping of root, tuber and banana crop. Data in Brief. Amsterdam: Elsevier, 2022, roč. 42, June 2022, s. 1-9. ISSN 2352-3409. Dostupné z: 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 a Paul D. FRASER. Datasets from harmonised metabolic phenotyping of root, tuber and banana crop. \textit{Data in Brief}. Amsterdam: Elsevier, 2022, roč.~42, June 2022, s.~1-9. ISSN~2352-3409. Dostupné z: https://dx.doi.org/10.1016/j.dib.2022.108041.

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