Large-Scale Proteomics of the Cassava Storage Root and Identification of a Target Gene to Reduce Postharvest Deterioration.
Journal: 2017/February - Plant Cell
ISSN: 1532-298X
Abstract:
Cassava (Manihot esculenta) is the most important root crop in the tropics, but rapid postharvest physiological deterioration (PPD) of the root is a major constraint to commercial cassava production. We established a reliable method for image-based PPD symptom quantification and used label-free quantitative proteomics to generate an extensive cassava root and PPD proteome. Over 2600 unique proteins were identified in the cassava root, and nearly 300 proteins showed significant abundance regulation during PPD. We identified protein abundance modulation in pathways associated with oxidative stress, phenylpropanoid biosynthesis (including scopoletin), the glutathione cycle, fatty acid α-oxidation, folate transformation, and the sulfate reduction II pathway. Increasing protein abundances and enzymatic activities of glutathione-associated enzymes, including glutathione reductases, glutaredoxins, and glutathione S-transferases, indicated a key role for ascorbate/glutathione cycles. Based on combined proteomics data, enzymatic activities, and lipid peroxidation assays, we identified glutathione peroxidase as a candidate for reducing PPD. Transgenic cassava overexpressing a cytosolic glutathione peroxidase in storage roots showed delayed PPD and reduced lipid peroxidation as well as decreased H2O2 accumulation. Quantitative proteomics data from ethene and phenylpropanoid pathways indicate additional gene candidates to further delay PPD. Cassava root proteomics data are available at www.pep2pro.ethz.ch for easy access and comparison with other proteomics data.
Relations:
Content
Citations
(13)
References
(48)
Drugs
(1)
Affiliates
(1)
Similar articles
Articles by the same authors
Discussion board
Plant Cell 26(5): 1913-1924

Large-Scale Proteomics of the Cassava Storage Root and Identification of a Target Gene to Reduce Postharvest Deterioration<sup><a href="#fn1" rid="fn1" class=" fn">[C]</a></sup><sup><a href="#fn2" rid="fn2" class=" fn">[W]</a></sup><sup><a href="#fn3" rid="fn3" class=" fn">[OPEN]</a></sup>

Supplementary Material

Supplemental Data:
Department of Biology, ETH Zurich, 8092 Zurich, Switzerland
Functional Genomics Center Zurich, UZH/ETH, 8057 Zurich, Switzerland
Institute of Agricultural Sciences, ETH Zurich, 8092 Zurich, Switzerland
www.plantcell.org/cgi/doi/10.1105/tpc.114.123927
Address correspondence to hc.zhte@neruhcsrednavh.
The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (www.plantcell.org) is: Hervé Vanderschuren (hc.zhte@neruhcsrednavh).
www.plantcell.org/cgi/doi/10.1105/tpc.114.123927
Received 2014 Feb 15; Revised 2014 Apr 7; Accepted 2014 May 2.

Abstract

Cassava (Manihot esculenta) is the most important root crop in the tropics, but rapid postharvest physiological deterioration (PPD) of the root is a major constraint to commercial cassava production. We established a reliable method for image-based PPD symptom quantification and used label-free quantitative proteomics to generate an extensive cassava root and PPD proteome. Over 2600 unique proteins were identified in the cassava root, and nearly 300 proteins showed significant abundance regulation during PPD. We identified protein abundance modulation in pathways associated with oxidative stress, phenylpropanoid biosynthesis (including scopoletin), the glutathione cycle, fatty acid α-oxidation, folate transformation, and the sulfate reduction II pathway. Increasing protein abundances and enzymatic activities of glutathione-associated enzymes, including glutathione reductases, glutaredoxins, and glutathione S-transferases, indicated a key role for ascorbate/glutathione cycles. Based on combined proteomics data, enzymatic activities, and lipid peroxidation assays, we identified glutathione peroxidase as a candidate for reducing PPD. Transgenic cassava overexpressing a cytosolic glutathione peroxidase in storage roots showed delayed PPD and reduced lipid peroxidation as well as decreased H2O2 accumulation. Quantitative proteomics data from ethene and phenylpropanoid pathways indicate additional gene candidates to further delay PPD. Cassava root proteomics data are available at www.pep2pro.ethz.ch for easy access and comparison with other proteomics data.

Abstract
Click here to view.

Acknowledgments

We thank Judith Owiti for initiating the research project on PPD and Irene Zurkirchen (Eidgenössisch Technische Hochschule Zurich) for special care of the cassava plants. We thank the Institute of Complex Systems Biomechanik, Forschungszentrum Jülich, for providing initial access to and training on the MatLab package to N.K. This work was supported by ETH Zurich and by the Bill &amp; Melinda Gates Foundation (BioCassava Plus Program Phase 1 trainee fellowship to E.N.).

Acknowledgments

AUTHOR CONTRIBUTIONS

H.V., E.N., and J.S.P. designed research. H.V., E.N., J.S.P., and P.N. performed research. H.V., E.N., J.S.P., K.B., and J.G. analyzed the data. N.K. and M.H.-H. contributed new computational tools. H.V. wrote the article. W.G. edited the article.

AUTHOR CONTRIBUTIONS

Notes

Glossary

PPDpostharvest physiological deterioration
MS/MStandem mass spectrometry
ROSreactive oxygen species
MSmass spectrometry
ACC1-aminocyclopropane-1-carboxylate
SAMS-adenosyl-l-methionine
CDNB1-chloro-2,4-dinitrobenzene
MDAmalondialdehyde
T3PQtop-three protein quantification
Notes

Glossary

PPDpostharvest physiological deterioration
MS/MStandem mass spectrometry
ROSreactive oxygen species
MSmass spectrometry
ACC1-aminocyclopropane-1-carboxylate
SAMS-adenosyl-l-methionine
CDNB1-chloro-2,4-dinitrobenzene
MDAmalondialdehyde
T3PQtop-three protein quantification
Glossary

Footnotes

Some figures in this article are displayed in color online but in black and white in the print edition.

Online version contains Web-only data.

Articles can be viewed online without a subscription.

Footnotes
Collaboration tool especially designed for Life Science professionals.Drag-and-drop any entity to your messages.