Skip navigation

The metabotyping of an East African cassava diversity panel: A core collection for developing biotic stress tolerance in cassava

The metabotyping of an East African cassava diversity panel: A core collection for developing biotic stress tolerance in cassava

Perez-Fons, Laura, Ovalle, Tatiana M., Maruthi, M. N. ORCID: 0000-0002-8060-866X, Colvin, John, Lopez-Lavalle, Luis Augusto Becerra and Fraser, Paul D. (2020) The metabotyping of an East African cassava diversity panel: A core collection for developing biotic stress tolerance in cassava. PLoS ONE, 15 (11):e0242245. pp. 1-16. ISSN 1932-6203 (Online) (doi:https://doi.org/10.1371/journal.pone.0242245)

[img]
Preview
PDF (Publisher's PDF - Open Access)
30275 MARUTHI_An_East_African_Cassava_Diversity_Panel_(OA)_2020.pdf - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

Cassava will have a vital role to play, if food security is to be achieved in Sub-Saharan Africa, especially Central and East Africa. The whitefly Bemisia tabaci poses a major threat to cassava production by small holder farmers in part due to their role as a vector of cassava mosaic begomoviruses (CMBs) and cassava brown streak ipomoviruses (CBSIs). In the present study untargeted metabolomics has been used as a tool to assess natural variation, similarities and attempts to identify trait differentiators among an East African cassava diversity panel that displayed tolerance/resistance to the effects of Bemisia tabaci infestation. The metabolome captured, was represented by 1529 unique chemical features per accession. Principal component analysis (PCA) identified a 23% variation across the panel, with geographical origin/adaption the most influential classification factors. Separation based on resistance and susceptible traits to Bemisia tabaci could also be observed within the data and was corroborated by genotyping data. Thus the metabolomics pipeline represented an effective metabotyping approach. Agglomerative Hierarchical Clustering Analysis (HCA) of both the metabolomics and genotyping data was performed and revealed a high level of similarity between accessions. Specific differentiating features/metabolites were identified, including those potentially conferring vigour to whitefly tolerance on a constitutive manner. The implications of using these cassava varieties as parental breeding material and the future potential of incorporating more exotic donor material is discussed.

Item Type: Article
Additional Information: © 2020 Perez-Fons et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Uncontrolled Keywords: Cassava, whitefly resistance, enotyping, metabotyping
Subjects: S Agriculture > S Agriculture (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
Faculty of Engineering & Science > Natural Resources Institute > Plant Health Research Group
Last Modified: 19 Nov 2020 10:59
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/30275

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics