Abstract
Many of the proteins and defense pathways in maize that are activated in an organ-specific manner in leaves and roots during aboveground caterpillar attack have not yet been identified. In this study, we examined systemic and organ-specific defenses in the insect-resistant maize genotype, Mp708, when infested aboveground with fall armyworm (FAW, Spodoptera frugiperda). We used proteomic and network biology analyses and then integrated these data with known FAW resistance QTL to create a protein abundance QTL (pQTL) subnetwork. Using 10-plex tandem mass spectrometry tags (TMT) proteomics technique, we identified a total of 4675 proteins in leaves and roots of control and FAW-infested plants. Among the identified proteins, 794 had significant differences in abundance in response to FAW herbivory. Proteins that were upregulated in leaves during FAW infestation included jasmonic acid biosynthetic enzymes, cysteine proteases, protease inhibitors, REDOX-related proteins, and peroxidases. In roots, highly abundant proteins were involved in ET biosynthesis, DNA expression regulation, and pyruvate biosynthesis. We found many proteins that possibly contribute different defense functions to FAW resistance in Mp708. One potential resistance mechanism identified was that trade-offs between growth and defense responses were reduced in Mp708. Some of the proteins involved in this trade-off that were found within the pQTL subnetwork were the Kinesin-like protein (GRMZM2G046186_P01) and Pi starvation-induced protein (GRMZM2G118037_P01). We proposed other mechanisms contributing to resistance that suggest that jasmonic acid and ethylene control the local accumulation of insecticidal cysteine protease (MIR1-CP) in leaves, while ethylene controlled the systemic accumulation of MIR1-CP in roots. Finally, we hypothesized that receptor kinases such as receptor protein kinase 1 (GRMZM2G055678) could be involved in the activation of root-specific defense responses during aboveground insect infestation.
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We thank Dr. Reka Albert for advice in the systems biology data analysis. This material is based upon the work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE1255832.
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11829_2017_9562_MOESM2_ESM.xlsx
Supplementary material 2 (XLSX 2712 kb) . Table S1. Identified proteins present in leaves and roots of control and FAW infested plants (95 % false discovery rate) with their protein abundance ratios. Logarithm of protein abundance ratios were analyzed using multiple-factor ANOVA followed by honest significant difference (HSD) Tukey pairwise comparison test. Letters represent results of the HSD (P<0.05) and error bars show the standard error
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Supplementary material 3 (XLSX 795 kb). Table S2. Proteins and gene ontology annotation from the hierarchical clustering analysis. The 10 k-mean groups are labeled as protein families and represent 10 different protein abundance patterns determined by using an Euclidian similarity distance method to determine abundance patterns using a maximum of 10 k-means cut off
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Supplementary material 4 (XLSX 150 kb). Table S3. Proteins and their annotations present in the abundance correlation network from the Supplemental Cytoscape file 1
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Supplementary material 5 (XLSX 301 kb). Table S4. Proteins and their annotations present in the protein-protein interaction network from the Supplemental Cytoscape file 2
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Supplementary material 6 (CYS 6919 kb). Supplemental File S1. Protein abundance correlation network built with Cytoscape (813 nodes and 17197 edges)
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Supplementary material 7 (CYS 5596 kb). Supplemental File S2. Protein-protein interaction network built with Cytoscape, using TMT data (1181 nodes and 4142 edges)
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Castano-Duque, L., Luthe, D.S. Protein networks reveal organ-specific defense strategies in maize in response to an aboveground herbivore. Arthropod-Plant Interactions 12, 147–175 (2018). https://doi.org/10.1007/s11829-017-9562-0
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DOI: https://doi.org/10.1007/s11829-017-9562-0