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Metabolite database for root, tuber, and banana crops to facilitate modern breeding in understudied crops
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Date
2020Author
Price, E.J.
Drapal, M.
Perez‐Fons, L.
Amah, D.
Bhattacharjee, R.
Heider, B.
Rouard, M.
Swennen, R.
Lopez-Lavalle, L.A.
Fraser, P.D.
Type
Review Status
Peer ReviewTarget Audience
Scientists
Metadata
Show full item recordAbstract/Description
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.
https://dx.doi.org/10.1111/tpj.14649
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https://hdl.handle.net/20.500.12478/6810IITA Authors ORCID
Rony Swennenhttps://orcid.org/0000-0002-5258-9043
Ranjana Bhattacharjeehttps://orcid.org/0000-0002-5184-5930
Non-IITA Authors ORCID
Elliott J. Pricehttps://orcid.org/0000-0001-5691-7000
Margit Drapalhttps://orcid.org/0000-0001-9586-8328
Laura Perez-Fonshttps://orcid.org/0000-0002-8567-7074
Delphine Amahhttps://orcid.org/0000-0002-5706-8773
Ranjana Bhattacharjeehttps://orcid.org/0000-0002-5184-5930
Bettina Heiderhttps://orcid.org/0000-0002-9792-8512
Mathieu Rouardhttps://orcid.org/0000-0003-0284-1885
Rony Swennenhttps://orcid.org/0000-0002-5258-9043
Luis Augusto Becerra Lopez-Lavallehttps://orcid.org/0000-0003-3520-2270
Paul Fraserhttps://orcid.org/0000-0002-5953-8900
Digital Object Identifier (DOI)
https://dx.doi.org/10.1111/tpj.14649