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An integrative overview of the molecular and physiological responses of sugarcane under drought conditions

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Abstract

Drought is the main abiotic stress constraining sugarcane production. However, our limited understanding of the molecular mechanisms involved in the drought stress responses of sugarcane impairs the development of new technologies to increase sugarcane drought tolerance. Here, an integrated approach was performed to reveal the molecular and physiological changes in two closely related sugarcane cultivars, including the most extensively planted cultivar in Brazil (cv. RB867515), in response to moderate (−0.5 MPa) and severe (−1 MPa) drought stress at the transcriptional, translational, and posttranslational levels. The results show common and cultivar exclusive changes in specific genes related to photosynthesis, carbohydrate, amino acid, and phytohormone metabolism. The novel phosphoproteomics and redox proteomic analysis revealed the importance of posttranslational regulation mechanisms during sugarcane drought stress. The shift to soluble sugar, secondary metabolite production, and activation of ROS eliminating processes in response to drought tolerance were mechanisms exclusive to cv. RB867515, helping to explain the better performance and higher production of this cultivar under these stress conditions.

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Acknowledgements

The authors would like to thank the Núcleo de Análise de Biomoléculas (NuBioMol) and Sugarcane Breeding Program, Universidade Federal de Viçosa, MG, Brazil and the Fundação Osvaldo Cruz (Fiocruz) for providing the facilities necessary for execution of the experiments. We thank Glaucia Souza and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) for providing access to the sugarcane genome database. This work was funded by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Conselho Nacional de Desenvolvimento Cientifico e Tecnológico (CNPq), Petrobras, and Instituto Nacional de Ciência e Tecnologia do Bioetanol (INCT Bioetanol).

Author contributions

CEV and AG conducted experiments, analyzed data, and wrote the manuscript; EAS, ROM, ASL, and TGP conducted experiments; TW contributed with metabolomics data analyses and manuscript writing; PMPV analyzed the transcriptomics data; MR contributed to manuscript writing; MEL and HJOR planned and designed the research.

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Author notes

  1. Thomas Christopher Rhys Williams

    Present address: Departamento de Botânica, Universidade de Brasília, Brasília, Distrito Federal, Brazil

  2. Rosilene Oliveira Mesquita

    Present address: Departamento de Fitotecnia, Universidade Federal do Ceará, Fortaleza, Ceará, Brazil

Authors and Affiliations

  1. Departamento de Biologia Vegetal, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil

    Camilo Elber Vital, Andrea Giordano, Eduardo de Almeida Soares, Thomas Christopher Rhys Williams, Rosilene Oliveira Mesquita, Amanda de Santana Lopes, Túlio Gomes Pacheco, Marcelo Rogalski & Marcelo Ehlers Loureiro

  2. Núcleo de Análise de Biomoléculas (NuBioMol), Centro de Ciências Biológicas, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil

    Pedro Marcus Pereira Vidigal

  3. Departamento de Bioquímica e Biologia Molecular, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil

    Humberto Josué de Oliveira Ramos

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Correspondence to Camilo Elber Vital.

Additional information

Camilo Elber Vital and Andrea Giordano have contributed equally to this work.

Electronic supplementary material

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Supplementary material 1 (XLSX 1098 KB)

11103_2017_611_MOESM2_ESM.tif

Online Resource 11 Fold change overview of the transcriptome, proteome, phosphoproteome and redox proteome under moderate (-0.5MPa) and severe (-1MPa) drought stress in cv. RB867515 and cv. RB855536. Genes and proteins were classified in 36 functional bins according to MapMan. Red indicates upregulation and blue downregulation. The fold change from transcripts is in log2 scale (TIF 3555 KB)

11103_2017_611_MOESM3_ESM.tif

Online Resource 12 Fold change overview of the transcriptome, proteome, phosphoproteome and redox proteome comparing cv. RB867515 and cv. RB855536 under control condition. Genes and proteins were classified in 36 functional bins according to MapMan. Red indicates upregulation and blue downregulation. The fold change from transcripts is in log2 scale (TIF 5193 KB)

11103_2017_611_MOESM4_ESM.tif

Online Resource 13 Validation of RNA-Seq data using real-time quantitative PCR (qRT-PCR). Expression level of selected genes in both cultivars (a) RB867515 and (b) RB855536 under drought stress conditions (-0.5 MPa and -1 MPa) (TIF 7134 KB)

11103_2017_611_MOESM5_ESM.tif

Online Resource 14 Total protein spots detected in the proteomics 2D- gel electrophoresis of cv. RB867515 and cv. RB855536 under the three conditions (control, -0.5 MPa and -1 MPa) (TIF 7134 KB)

11103_2017_611_MOESM6_ESM.tif

Online Resource 15 Proteomics 2D- gel electrophoresis of cv. RB867515 and cv. RB855536 under the three conditions (control, -0.5 MPa and -1MPa). Protein spots in cv. RB867515 under control treatment (a), cv. RB867515 detected under -0.5MPa (c) cv. RB867515 under -1MPa (e), cv. RB855536 under control treatment (b), cv. RB855536 detected under -0.5MPa (d) cv. RB855536 under -1MPa (f) (TIF 10005 KB)

11103_2017_611_MOESM7_ESM.tif

Online Resource 16 Phosphoproteome analysis. Protein ID and fold change of the phosphoproteomics dataset set for cv. RB867515 and cv. RB855536 under drought conditions (-0.5MPa and -1 MPa) (TIF 4710 KB)

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Online Resource 17 Phosphoproteomics 2D- gel electrophoresis of cv. RB867515 and cv. RB855536 under the three conditions (control, -0.5 MPa and -1 MPa). Protein spots in cv. RB867515 under control treatment (a), cv. RB867515 detected under -0.5MPa (c) cv. RB867515 under -1MPa (e), cv. RB855536 under control treatment (b), in cv. RB855536 detected under -0.5MPa (d) in cv. RB855536 under -1MPa (f) (TIF 8537 KB)

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Online Resource 18 Redoxproteome analysis. Protein ID and fold change of the proteomics dataset for cv. RB867515 and cv. RB855536 under drought conditions (-0.5MPa and -1 MPa) (TIF 7090 KB)

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Online Resource 19 Redoxproteomics 2D- gel electrophoresis of cv. RB867515 and cv. RB855536 under the three conditions (control, -0.5 MPa and -1 MPa). Protein spots in cv. RB867515 under control treatment (a), cv. RB855536 detected under control treatment (b), cv. RB867515 detected under -0.5MPa (c), cv. RB855536 detected under -0.5MPa (d) (TIF 8940 KB)

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Online Resource 20 Differentially expressed genes, proteins and posttranslational modifications in the TCA and glycolysis pathway under moderate (-0.5MPa) and severe (-1MPa) drought stress in RB867515 and RB855536 cultivars. MapMan TCA and glycolysis pathway with color coded squares indicating up- (red) or down- (blue) regulated genes (TR), and or increase (red) or decrease (blue) abundance of proteins (PR), phosphorylation (PH), oxidation (RE) (TIF 4814 KB)

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Vital, C.E., Giordano, A., de Almeida Soares, E. et al. An integrative overview of the molecular and physiological responses of sugarcane under drought conditions. Plant Mol Biol 94, 577–594 (2017). https://doi.org/10.1007/s11103-017-0611-y

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  • DOI: https://doi.org/10.1007/s11103-017-0611-y

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