ArticleThe Plant journal : for cell and molecular biology2020
Metabolite database for root, tuber, and banana crops to facilitate modern breeding in understudied crops.
Article in The Plant journal : for cell and molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Biotic Stress Resistance in Sweet Potato: Mechanisms, Perspectives, and Sustainable Production Strategies.Plants (Basel, Switzerland) · 2026Review
- Application of machine learning and genomics for orphan crop improvement.Nature communications · 2025Review
- Enhanced banana productivity, soil microbial community structure, andFrontiers in plant science · 2025Article
- Novel Targets for Fruit Conservation Strategies Revealed by Omics Studies: A Systematic Review and Meta-Analysis.International journal of food science · 2025Review
- Variability and genetic merits of white Guinea yam landraces in Nigeria.Frontiers in plant science · 2023Article
- Combined LC-MS-based metabolomics and GC-IMS analysis reveal changes in chemical components and aroma components of Jujube leaf tea during processing.Frontiers in plant science · 2023Article
- Review
- The chemotype core collection of genus Nicotiana.The Plant journal : for cell and molecular biology · 2022Article
- Datasets from harmonised metabolic phenotyping of root, tuber and banana crop.Data in brief · 2022Article
- Recent applications of metabolomics in plant breeding.Breeding science · 2022Article
- Pangenomes as a Resource to Accelerate Breeding of Under-Utilised Crop Species.International journal of molecular sciences · 2022Review
- The banana genome hub: a community database for genomics in the Musaceae.Horticulture research · 2022Article
- Metabolome Profiling of Eight Chinese Yam (Life (Basel, Switzerland) · 2021Article
- Using precision phenotyping to inform de novo domestication.Plant physiology · 2021Article
- Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices.Nature methods · 2021Review
- Optimized Protocol for In Vitro Pollen Germination in Yam (Plants (Basel, Switzerland) · 2021Article
- A Catalog of Natural Products Occurring in Watermelon-Frontiers in nutrition · 2021Article
- Correction.The Plant journal : for cell and molecular biology · 2020Article
- Cross-Species Comparison of Fruit-Metabolomics to Elucidate Metabolic Regulation of Fruit Polyphenolics Among Solanaceous Crops.Metabolites · 2020Article
- Can Metabolite- and Transcript-Based Selection for Drought Tolerance inFrontiers in plant science · 2020Article
Corrections and comments
- Commented on by
- Erratum issuedCorrection.2020
Authors and funding
10 authors.
Funding
Abstract
Roots, tubers, and bananas (RTB) are vital staples for food security in the world's poorest nations. A major constraint to current RTB breeding programmes is limited knowledge on the available diversity due to lack of efficient germplasm characterization and structure. In recent years large-scale efforts have begun to elucidate the genetic and phenotypic diversity of germplasm collections and populations and, yet, biochemical measurements have often been overlooked despite metabolite composition being directly associated with agronomic and consumer traits. Here we present a compound database and concentration range for metabolites detected in the major RTB crops: banana (Musa spp.), cassava (Manihot esculenta), potato (Solanum tuberosum), sweet potato (Ipomoea batatas), and yam (Dioscorea spp.), following metabolomics-based diversity screening of global collections held within the CGIAR institutes. The dataset including 711 chemical features provides a valuable resource regarding the comparative biochemical composition of each RTB crop and highlights the potential diversity available for incorporation into crop improvement programmes. Particularly, the tropical crops cassava, sweet potato and banana displayed more complex compositional metabolite profiles with representations of up to 22 chemical classes (unknowns excluded) than that of potato, for which only metabolites from 10 chemical classes were detected. Additionally, over 20% of biochemical signatures remained unidentified for every crop analyzed. Integration of metabolomics with the on-going genomic and phenotypic studies will enhance 'omics-wide associations of molecular signatures with agronomic and consumer traits via easily quantifiable biochemical markers to aid gene discovery and functional characterization.
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