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

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 (...

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Autores principales: Perez-Fons, Laura, Ovalle, Tatiana M., Maruthi, M. N., Colvin, John, Lopez-Lavalle, Luis Augusto Becerra, Fraser, Paul D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673516/
https://www.ncbi.nlm.nih.gov/pubmed/33206704
http://dx.doi.org/10.1371/journal.pone.0242245
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author Perez-Fons, Laura
Ovalle, Tatiana M.
Maruthi, M. N.
Colvin, John
Lopez-Lavalle, Luis Augusto Becerra
Fraser, Paul D.
author_facet Perez-Fons, Laura
Ovalle, Tatiana M.
Maruthi, M. N.
Colvin, John
Lopez-Lavalle, Luis Augusto Becerra
Fraser, Paul D.
author_sort Perez-Fons, Laura
collection PubMed
description 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.
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spelling pubmed-76735162020-11-19 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. Colvin, John Lopez-Lavalle, Luis Augusto Becerra Fraser, Paul D. PLoS One Research Article 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. Public Library of Science 2020-11-18 /pmc/articles/PMC7673516/ /pubmed/33206704 http://dx.doi.org/10.1371/journal.pone.0242245 Text en © 2020 Perez-Fons et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Perez-Fons, Laura
Ovalle, Tatiana M.
Maruthi, M. N.
Colvin, John
Lopez-Lavalle, Luis Augusto Becerra
Fraser, Paul D.
The metabotyping of an East African cassava diversity panel: A core collection for developing biotic stress tolerance in cassava
title The metabotyping of an East African cassava diversity panel: A core collection for developing biotic stress tolerance in cassava
title_full The metabotyping of an East African cassava diversity panel: A core collection for developing biotic stress tolerance in cassava
title_fullStr The metabotyping of an East African cassava diversity panel: A core collection for developing biotic stress tolerance in cassava
title_full_unstemmed The metabotyping of an East African cassava diversity panel: A core collection for developing biotic stress tolerance in cassava
title_short The metabotyping of an East African cassava diversity panel: A core collection for developing biotic stress tolerance in cassava
title_sort metabotyping of an east african cassava diversity panel: a core collection for developing biotic stress tolerance in cassava
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673516/
https://www.ncbi.nlm.nih.gov/pubmed/33206704
http://dx.doi.org/10.1371/journal.pone.0242245
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