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来自根、块茎和香蕉作物统一代谢表型分析的数据集。

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

作者信息

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

机构信息

Royal Holloway University of London, Surrey, TW20 0EX, United Kingdom.

International Institute of Tropical Agriculture, PMB 5320, Ibadan, Nigeria.

出版信息

Data Brief. 2022 Mar 12;42:108041. doi: 10.1016/j.dib.2022.108041. eCollection 2022 Jun.

Abstract

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 ( spp.), cassava (), potato (), sweet potato () and yam (.), 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.

摘要

种质资源库和作物野生近缘种(CWRs)的生化特征分析有助于评估生物潜力,并为作物改良选择育种系。本文介绍了利用代谢组学方法对主要根、块茎和香蕉(RTB)作物,即香蕉(属)、木薯(种)、马铃薯(种)、甘薯(种)和山药(属)进行生化特征分析的数据。这些数据支持了之前发表的研究文章《根、块茎和香蕉作物的代谢物数据库,以促进对研究不足作物的现代育种》(Price等人,2020年)[1]。对包括各种物种、种质、地方品种和作物野生近缘种的每种作物的多样性面板进行了特征分析。马铃薯的生化图谱基于非生物胁迫下的五个优良品系。通过溶剂分配从叶片和贮藏器官(块茎、根和香蕉果肉)组织中提取代谢物。提取物通过液相色谱-质谱联用(LC-MS)、气相色谱(GC)-MS、带光电二极管阵列检测器的高压液相色谱(HPLC-PDA)和超高效液相色谱(UPLC)-PDA进行分析。通过与由标准品组成的内部库进行质谱匹配,并与数据库或先前发表的文献进行比较来鉴定代谢物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a34/8943254/c45f9247da85/gr1.jpg

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