Untargeted and targeted metabolomics approaches to characterise, select and advance cassava pre‐breeding populations with enhanced whitefly tolerance
SUMMARY Cassava (Manihot esculenta Crantz) provides food security for over 500 million people in Sub‐Saharan Africa (SSA). Whitefly (Bemisia tabaci) is a pest in this region that results in ca. 50% crop yield losses. Thus, it is important to develop approaches that will generate new varieties tolera...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Wiley
2025
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| Acceso en línea: | https://hdl.handle.net/10568/174962 |
| _version_ | 1855533174502719488 |
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| author | Perez‐Fons, Laura Bohorquez Chaux, Adriana Gomez Jimenez, Maria Isabel Becerra Lopez Lavalle, Luis Augusto Fraser, Paul D. |
| author_browse | Becerra Lopez Lavalle, Luis Augusto Bohorquez Chaux, Adriana Fraser, Paul D. Gomez Jimenez, Maria Isabel Perez‐Fons, Laura |
| author_facet | Perez‐Fons, Laura Bohorquez Chaux, Adriana Gomez Jimenez, Maria Isabel Becerra Lopez Lavalle, Luis Augusto Fraser, Paul D. |
| author_sort | Perez‐Fons, Laura |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | SUMMARY Cassava (Manihot esculenta Crantz) provides food security for over 500 million people in Sub‐Saharan Africa (SSA). Whitefly (Bemisia tabaci) is a pest in this region that results in ca. 50% crop yield losses. Thus, it is important to develop approaches that will generate new varieties tolerant to this pest to advance food security in the region. Two parental cassava varieties, ECU72 tolerant to whiteflies and COL2246 a susceptible line, have been used to generate bi‐parental populations. The F1 generation has been screened for whitefly resistance, and progeny identified displaying enhanced tolerance. From designated F1 tolerant progeny, F2 families have been generated and phenotyped. The tolerance to whiteflies in the F2 population was further enhanced. Untargeted metabolomics was used to characterise whitefly susceptible and tolerant sub‐groups. PCA of the molecular features generated clustering of accessions into whitefly resistant and susceptible groups, and differentiating metabolite biomarkers were identified. The most significant metabolite marker for resistance is the chemical feature 316.0924. Although not consistent among all whitefly resistance sub‐groups, targeted LC–MS analysis revealed several pathways displaying perturbed levels. These include cyanogenic glycosides, apocarotenoids and the phenylpropanoid super‐pathway comprising hydroxycinnamic acids, flavonoids and proanthocyanidins. Thus, the generation of a bi‐parental population for whitefly tolerance/susceptibility enabled the identification of quantitative metabolite markers, the pathways contributing to tolerance, the underlying modes of action associated with resistance and the potential for the development of future high‐throughput low‐cost proxy markers. The approach also provides generic insights into future breeding strategies utilising bi‐parental progeny for the enhancement of traits. |
| format | Journal Article |
| id | CGSpace174962 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1749622025-11-11T19:00:21Z Untargeted and targeted metabolomics approaches to characterise, select and advance cassava pre‐breeding populations with enhanced whitefly tolerance Perez‐Fons, Laura Bohorquez Chaux, Adriana Gomez Jimenez, Maria Isabel Becerra Lopez Lavalle, Luis Augusto Fraser, Paul D. cassava breeding metabolomics aleyrodidae-whiteflies SUMMARY Cassava (Manihot esculenta Crantz) provides food security for over 500 million people in Sub‐Saharan Africa (SSA). Whitefly (Bemisia tabaci) is a pest in this region that results in ca. 50% crop yield losses. Thus, it is important to develop approaches that will generate new varieties tolerant to this pest to advance food security in the region. Two parental cassava varieties, ECU72 tolerant to whiteflies and COL2246 a susceptible line, have been used to generate bi‐parental populations. The F1 generation has been screened for whitefly resistance, and progeny identified displaying enhanced tolerance. From designated F1 tolerant progeny, F2 families have been generated and phenotyped. The tolerance to whiteflies in the F2 population was further enhanced. Untargeted metabolomics was used to characterise whitefly susceptible and tolerant sub‐groups. PCA of the molecular features generated clustering of accessions into whitefly resistant and susceptible groups, and differentiating metabolite biomarkers were identified. The most significant metabolite marker for resistance is the chemical feature 316.0924. Although not consistent among all whitefly resistance sub‐groups, targeted LC–MS analysis revealed several pathways displaying perturbed levels. These include cyanogenic glycosides, apocarotenoids and the phenylpropanoid super‐pathway comprising hydroxycinnamic acids, flavonoids and proanthocyanidins. Thus, the generation of a bi‐parental population for whitefly tolerance/susceptibility enabled the identification of quantitative metabolite markers, the pathways contributing to tolerance, the underlying modes of action associated with resistance and the potential for the development of future high‐throughput low‐cost proxy markers. The approach also provides generic insights into future breeding strategies utilising bi‐parental progeny for the enhancement of traits. 2025-05 2025-06-04T12:18:44Z 2025-06-04T12:18:44Z Journal Article https://hdl.handle.net/10568/174962 en Open Access application/pdf Wiley Perez‐Fons, L.; Bohorquez‐Chaux, A.; Gomez‐Jimenez, M.I.; Becerra Lopez‐Lavalle, L.A.; Fraser, P.D. (2025) Untargeted and targeted metabolomics approaches to characterise, select and advance cassava pre‐breeding populations with enhanced whitefly tolerance. Plant journal 122: e70233. ISSN: 0960-7412 |
| spellingShingle | cassava breeding metabolomics aleyrodidae-whiteflies Perez‐Fons, Laura Bohorquez Chaux, Adriana Gomez Jimenez, Maria Isabel Becerra Lopez Lavalle, Luis Augusto Fraser, Paul D. Untargeted and targeted metabolomics approaches to characterise, select and advance cassava pre‐breeding populations with enhanced whitefly tolerance |
| title | Untargeted and targeted metabolomics approaches to characterise, select and advance cassava pre‐breeding populations with enhanced whitefly tolerance |
| title_full | Untargeted and targeted metabolomics approaches to characterise, select and advance cassava pre‐breeding populations with enhanced whitefly tolerance |
| title_fullStr | Untargeted and targeted metabolomics approaches to characterise, select and advance cassava pre‐breeding populations with enhanced whitefly tolerance |
| title_full_unstemmed | Untargeted and targeted metabolomics approaches to characterise, select and advance cassava pre‐breeding populations with enhanced whitefly tolerance |
| title_short | Untargeted and targeted metabolomics approaches to characterise, select and advance cassava pre‐breeding populations with enhanced whitefly tolerance |
| title_sort | untargeted and targeted metabolomics approaches to characterise select and advance cassava pre breeding populations with enhanced whitefly tolerance |
| topic | cassava breeding metabolomics aleyrodidae-whiteflies |
| url | https://hdl.handle.net/10568/174962 |
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