ACWP-Cassava Mapping Populations Metabolomics

Published: 3 February 2025| Version 1 | DOI: 10.17632/pdbjznbf2g.1
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Description

Bi-parental populations of cassava whitefly resistant accession ECU72 crossed with susceptible accessions COL2246 and TMS60444 have been analysed by LC-MS using an untargeted approach. Two F1 families CM8996 (ECU72xCOL2246) and GM8586 (ECU72xTMS60444), plus an F2 family (AM1588) generated by self-crossing a resistant sibling from CM8996, are presented. The dataset include phenotypic classification and LC-MS extracted chemical features. The phenotypic classification of the F1 and F2 bi-parental populations is based on the leaves’ nymph count using the automated system Nymphstar.

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The samples analysed are leaf extracts (50% methanol) spiked in with the internal standard genistein. Samples have been analysed in a 1290 UHPLC- 6560 IM QTOF in ESI negative mode. Chromatographic method was developed using a Zorbax RRHD Eclipse Plus C18 2.1x50 mm, 1.8 μm column and a gradient of 2.5% acetonitrile (solvent A) and acetonitrile (solvent B) modified with 0.03% formic acid. Untargeted LCMS (ESI-QTOF) metabolomics raw datasets. The matrices (.xlsx) were generated by processing raw data files in Profinder v10.0 (Agilent) using the Batch Recursive Molecular Feature Extraction (BRMFE) method.

Institutions

Royal Holloway University of London

Categories

Phenotyping, Untargeted Metabolomics

Funding

Bill & Melinda Gates Foundation

OPP1200124

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