Metabolite database for root, tuber and banana crops to facilitate modern breeding in understudied crops. / Price, Elliott; Drapal, Margit; Perez, Laura; Fraser, Paul.

In: Plant Journal, 17.12.2019, p. 1-11.

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@article{522fd13588aa441ea7f38ef12fcbda7d,
title = "Metabolite database for root, tuber and banana crops to facilitate modern breeding in understudied crops",
abstract = "Roots, tubers and bananas (RTB) are vital staples for food security in the worlds{\textquoteright} poorest nations. However, RTB crops lack many of the breeding tools available for other staples and cash crops such as rice, wheat and tomato. A major constraint to current breeding programmes is limited knowledge about the available diversity due to lack of efficient germplasm characterisation 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 to agronomic and consumer traits.Herein 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, all tropical crops 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 analysed.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 characterisation. ",
author = "Elliott Price and Margit Drapal and Laura Perez and Paul Fraser",
year = "2019",
month = dec
day = "17",
doi = "10.1111/tpj.14649",
language = "English",
pages = "1--11",
journal = "Plant Journal",
issn = "0960-7412",
publisher = "Wiley-Blackwell",

}

RIS

TY - JOUR

T1 - Metabolite database for root, tuber and banana crops to facilitate modern breeding in understudied crops

AU - Price, Elliott

AU - Drapal, Margit

AU - Perez, Laura

AU - Fraser, Paul

PY - 2019/12/17

Y1 - 2019/12/17

N2 - Roots, tubers and bananas (RTB) are vital staples for food security in the worlds’ poorest nations. However, RTB crops lack many of the breeding tools available for other staples and cash crops such as rice, wheat and tomato. A major constraint to current breeding programmes is limited knowledge about the available diversity due to lack of efficient germplasm characterisation 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 to agronomic and consumer traits.Herein 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, all tropical crops 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 analysed.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 characterisation.

AB - Roots, tubers and bananas (RTB) are vital staples for food security in the worlds’ poorest nations. However, RTB crops lack many of the breeding tools available for other staples and cash crops such as rice, wheat and tomato. A major constraint to current breeding programmes is limited knowledge about the available diversity due to lack of efficient germplasm characterisation 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 to agronomic and consumer traits.Herein 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, all tropical crops 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 analysed.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 characterisation.

U2 - 10.1111/tpj.14649

DO - 10.1111/tpj.14649

M3 - Article

SP - 1

EP - 11

JO - Plant Journal

JF - Plant Journal

SN - 0960-7412

ER -