Quantitative Proteomics Analysis of Sugarcane Ratoon Crop Chlorosis

Abstract

Sugarcane is the most important sugar and bioenergy crop. Sugarcane ratoon crop chlorosis, caused by deficiencies of Fe, Ca and Mg because of low soil pH and excessive absorption of Mn, is a major crop production constraint in China and reduces cane yield as much as 40%. The molecular basis of the ratoon crop chlorosis is little understood. In this study, we employed TMT-labeling quantitative proteomics approach to study the proteins associated with sugarcane ratoon crop chlorosis using chlorotic leaves collected from the field. An in-house transcriptome database for sugarcane leaf was also constructed. From the proteome database, 7480 sugarcane proteins were identified; among them, 199 and 80 were found to be up- and down-regulated by the chlorosis. By functional characterization and protein–protein interaction studies, we were able to identify the components and pathways that might play a role in sugarcane chlorosis response. In addition to genes associated with photosynthesis, drought-responsive and jasmonic acid biosynthesis genes were also found to be associated with ratoon crop chlorosis in sugarcane. Data obtained in the presented study provide the molecular details of sugarcane ratoon crop proteome response during chlorosis.

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Funding

This work was supported in part by National Natural Foundation of China (31360312), Guangxi Nature Science Fund (2015GXNSFDA139011), Guangxi Science and Technology Base and Talents Special Project (Guike AD17195100), National Modern Agriculture Industry Technology System of Guangxi Sugarcane Innovation Team Projects (gjnytxgxcxtd-03), and Guangxi Academy of Agricultural Sciences project (2015YM13, 2015YT03, 2016JM06).

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Correspondence to Xing Huang or Jian-Ming Wu or Yang-Rui Li.

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Fan, YG., Chen, RF., Qiu, LH. et al. Quantitative Proteomics Analysis of Sugarcane Ratoon Crop Chlorosis. Sugar Tech (2021). https://doi.org/10.1007/s12355-021-00952-0

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Keywords

  • Sugarcane
  • Ratoon
  • Chlorosis
  • Proteins
  • TMT-labeling quantitative proteomics