Agarrwal R, Bentur JS, Nair S (2014) Gas chromatography mass spectrometry based metabolic profiling reveals biomarkers involved in rice-gall midge interactions. J Integr Plant Biol 56:837–848. https://doi.org/10.1111/jipb.12244
Article
CAS
PubMed
Google Scholar
Agarrwal R, Padmakumari AP, Bentur JS et al (2016) Metabolic and transcriptomic changes induced in host during hypersensitive response mediated resistance in rice against the Asian rice gall midge. Rice 9:1–15. https://doi.org/10.1186/s12284-016-0077-6
Article
Google Scholar
Alexander MM, Cilia M (2016) A molecular tug-of-war: global plant proteome changes during viral infection. Curr Plant Biol 5:13–24. https://doi.org/10.1016/j.cpb.2015.10.003
Article
Google Scholar
Ali MA, Azeem F, Li H et al (2017) Smart parasitic nematodes use multifaceted strategies to parasitize plants. Front Plant Sci 8:1–21. https://doi.org/10.3389/fpls.2017.01699
Article
CAS
Google Scholar
Anderson JT, Mitchel-Olds T (2011) Ecological genetics and genomics of plant defenses: evidence and approaches. Funct Ecol 25:312–324 doi.org/10.1111/j.1365-2435.2010.01785.x
Article
Google Scholar
Arbona V, Manzi M, Ollas CD et al (2013) Metabolomics as a tool to investigate abiotic stress tolerance in plants. Int J Mol Sci 14:4885–4911. https://doi.org/10.3390/ijms14034885
Article
CAS
PubMed
PubMed Central
Google Scholar
Azizi P, Osman M, Hanafi MM et al (2019) Adaptation of the metabolomics profile of rice after Pyricularia oryzae infection. Plant Physiol Biochem 144:466–479. https://doi.org/10.1016/j.plaphy.2019.10.014
Article
CAS
PubMed
Google Scholar
Bigeard J, Colcombet J, Hirt H (2015) Signaling mechanisms in pattern-triggered immunity (PTI). Mol Plant 8:521–539. https://doi.org/10.1016/j.molp.2014.12.022
Article
CAS
PubMed
Google Scholar
Cao J, Yang C, Li L et al (2016) Rice plasma membrane proteomics reveals Magnaporthe oryzae promotes susceptibility by sequential activation of host hormone signaling pathways. Mol Plant Microbe Interact 29:902–913. https://doi.org/10.1094/MPMI-08-16-0165-R
Article
CAS
PubMed
Google Scholar
Castro-Moretti FR, Gentzel IN, Mackey D et al (2020) Metabolomics as an emerging tool for the study of plant–pathogen interactions. Metabolites 10:1–23. https://doi.org/10.3390/metabo10020052
Article
CAS
Google Scholar
Chamam A, Sanguin H, Bellvert F et al (2013) Plant secondary metabolite profiling evidences strain-dependent effect in the Azospirillum-Oryza sativa association. Phytochemistry 87:65–77. https://doi.org/10.1016/j.phytochem.2012.11.009
Article
CAS
PubMed
Google Scholar
Chamam A, Wisniewski-Dyé F, Comte G et al (2015) Differential responses of Oryza sativa secondary metabolism to biotic interactions with cooperative, commensal and phytopathogenic bacteria. Planta 242:1439–1452. https://doi.org/10.1007/s00425-015-2382-5
Article
CAS
PubMed
Google Scholar
Cheah BH, Lin HH, Chien HJ et al (2020) SWAtH-MS-based quantitative proteomics reveals a uniquely intricate defense response in Cnaphalocrocis medinalis-resistant rice. Sci Rep 10:1–11. https://doi.org/10.1038/s41598-020-63470-1
Article
CAS
Google Scholar
Chen F, Ma R, Chen XL (2019) Advances of metabolomics in fungal pathogen–plant interactions. Metabolites 9:169. https://doi.org/10.3390/metabo9080169
Article
CAS
PubMed Central
Google Scholar
Chen F, Yuan Y, Li Q et al (2007) Proteomic analysis of rice plasma membrane reveals proteins involved in early defense response to bacterial blight. Proteomics 7:1529–1539. https://doi.org/10.1002/pmic.200500765
Article
CAS
PubMed
Google Scholar
Chen X, Dong Y, Yu C et al. (2016) Analysis of the proteins secreted from the oryza meyeriana suspension-cultured cells induced by Xanthomonas oryzae pv. oryzae. PLoS One 11:1-16. https://doi.org/10.1371/journal.pone.0154793.
Chen X, Fu S, Zhang P et al (2013) Proteomic analysis of a disease-resistance-enhanced lesion mimic mutant spotted leaf 5 in rice. Rice 6:1–10. https://doi.org/10.1186/1939-8433-6-1
Article
CAS
PubMed
PubMed Central
Google Scholar
Chi F, Yang P, Han F et al (2010) Proteomic analysis of rice seedlings infected by Sinorhizobium meliloti 1021. Proteomics 10:1861–1874. https://doi.org/10.1002/pmic.200900694
Article
CAS
PubMed
Google Scholar
Dean R, Van Kan JAL, Pretorius ZA et al (2012) The top 10 fungal pathogens in molecular plant pathology. Mol Plant Pathol 13:414–430. https://doi.org/10.1111/j.1364-3703.2011.00783.x
Article
PubMed
PubMed Central
Google Scholar
Dong Y, Fang X, Yang Y et al (2017) Comparative proteomic analysis of susceptible and resistant rice plants during early infestation by small brown planthopper. Front Plant Sci 8:1–14. https://doi.org/10.3389/fpls.2017.01744
Article
Google Scholar
Draper J, Rasmussen S, Zubair H (2011) Metabolite analysis and metabolomics in the study of biotrophic interactions between plants and microbes annual plant reviews volume 43. In: Biology of plant metabolomics. https://doi.org/10.1002/9781444339956.ch2
Chapter
Google Scholar
Duan G, Li C, Liu Y et al. (2020) Magnaporthe oryzae Systemic Defense Trigger 1 (MoSDT1)-Mediated Metabolites Regulate Defense Response in Rice. BMC Plant Biol 21, 40. https://doi.org/10.1186/s12870-020-02821-6.
Erb M, Kliebenstein D (2020) Plant secondary metabolites as defenses, regulators and primary metabolites- the blurred functional trichotomy. Plant Physiol 184:00433.2020. https://doi.org/10.1104/pp.20.00433
Article
CAS
Google Scholar
Feussner I, Polle A (2015) What the transcriptome does not tell - proteomics and metabolomics are closer to the plants’ patho-phenotype. Curr Opin Plant Biol 26:26–31. https://doi.org/10.1016/j.pbi.2015.05.023
Article
CAS
PubMed
Google Scholar
Freeman BC, Beattie GA (2008) An overview of plant defenses against pathogens and herbivores. Plant Heal Instr. https://doi.org/10.1094/phi-i-2008-0226-01
Fujita D, Kohli A, Horgan FG (2013) Rice resistance to Planthoppers and leafhoppers. Crit Rev Plant Sci 32:162–191. https://doi.org/10.1080/07352689.2012.735986
Article
CAS
Google Scholar
Fukuoka S, Saka N, Koga H, Ono K, Shimizu T, Ebana K, Hayashi N, Takahashi A, Hirochika H, Okuno K (2009) Loss of function of a proline-containing protein confers durable disease resistance in rice. Science 325:998–1001. https://doi.org/10.1126/science.1175550
Article
CAS
PubMed
Google Scholar
Fukusaki E, Kobayashi A (2005) Plant metabolomics: potential for practical operation. J Biosci Bioeng 100:347–354. https://doi.org/10.1263/jbb.100.347
Article
CAS
PubMed
Google Scholar
Gao Z, Liu Q, Zhang Y et al (2019) A proteomic approach identifies novel proteins and metabolites for lesion mimic formation and disease resistance enhancement in rice. Plant Sci 287:110182. https://doi.org/10.1016/j.plantsci.2019.110182
Article
CAS
PubMed
Google Scholar
Ghosh S, Kanwar P, Jha G (2017) Alterations in rice chloroplast integrity, photosynthesis and metabolome associated with pathogenesis of Rhizoctonia solani. Sci Rep 7:1–12. https://doi.org/10.1038/srep41610
Article
CAS
Google Scholar
Gill JR, Harbornez JB, Plowright RA et al (1996) The induction of phenolic compounds in rice after infection by the stem nematode Ditylenchus angustus. Nematologica 42:564–578
Article
Google Scholar
González JF, Degrassi G, Devescovi G et al (2012) A proteomic study of Xanthomonas oryzae pv. Oryzae in rice xylem sap. J Proteomics 75:5911–5919. https://doi.org/10.1016/j.jprot.2012.07.019
Article
CAS
PubMed
Google Scholar
Harun-Or-Rashid M, Kim HJ, Yeom SI et al (2018) Bacillus velezensis YC7010 enhances plant defenses against brown planthopper through transcriptomic and metabolic changes in rice. Front Plant Sci 9:1–15. https://doi.org/10.3389/fpls.2018.01904
Article
Google Scholar
Hong J, Yang L, Zhang D et al (2016) Plant metabolomics: an indispensable system biology tool for plant science. Int J Mol Sci 17:767. https://doi.org/10.3390/ijms17060767
Article
CAS
PubMed Central
Google Scholar
Hou Y, Qiu J, Tong X et al (2015) A comprehensive quantitative phosphoproteome analysis of rice in response to bacterial blight. BMC Plant Biol 15:1–15. https://doi.org/10.1186/s12870-015-0541-2
Article
CAS
Google Scholar
Huang R, Li Y, Tang G et al (2018) Dynamic phytohormone profiling of rice upon rice black-streaked dwarf virus invasion. J Plant Physiol 228:92–100. https://doi.org/10.1016/j.jplph.2018.06.001
Article
CAS
PubMed
Google Scholar
Jain P, Dubey H, Singh PK et al (2019) Deciphering signalling network in broad spectrum near isogenic lines of rice resistant to Magnaporthe oryzae. Sci Rep 9:1–13. https://doi.org/10.1038/s41598-019-50990-8
Article
CAS
Google Scholar
Jones JDG, Dangl JL (2006) The plant immune system. Nature 444:323–329. https://doi.org/10.1038/nature05286
Article
CAS
PubMed
Google Scholar
Jwa NS, Agrawal GK, Tamogami S et al (2006) Role of defense/stress-related marker genes, proteins and secondary metabolites in defining rice self-defense mechanisms. Plant Physiol Biochem 44:261–273. https://doi.org/10.1016/j.plaphy.2006.06.010
Article
CAS
PubMed
Google Scholar
Kandasamy S, Loganathan K, Muthuraj R et al (2009) Understanding the molecular basis of plant growth promotional effect of Pseudomonas fluorescens on rice through protein profiling. Proteome Sci 7:1–8. https://doi.org/10.1186/1477-5956-7-47
Article
CAS
Google Scholar
Kandaswamy R, Ramasamy MK, Palanivel R et al (2019) Impact of Pseudomonas putida RRF3 on the root transcriptome of rice plants: insights into defense response, secondary metabolism and root exudation. J Biosci 44:1–13. https://doi.org/10.1007/s12038-019-9922-2
Article
CAS
Google Scholar
Kang K, Yue L, Xia X et al (2019) Comparative metabolomics analysis of different resistant rice varieties in response to the brown planthopper Nilaparvata lugens Hemiptera: Delphacidae. Metabolomics 15:1–13. https://doi.org/10.1007/s11306-019-1523-4
Article
CAS
Google Scholar
Kangasjärvi S, Neukermans J, Li S et al (2012) Photosynthesis, photorespiration, and light signalling in defence responses. J Exp Bot 63:1619–1636. https://doi.org/10.1093/jxb/err402
Article
CAS
PubMed
Google Scholar
Karmakar S, Datta K, Molla KA et al (2019) Proteo-metabolomic investigation of transgenic rice unravels metabolic alterations and accumulation of novel proteins potentially involved in defence against Rhizoctonia solani. Sci Rep 9:1–16. https://doi.org/10.1038/s41598-019-46885-3
Article
CAS
Google Scholar
Khare S, Singh NB, Singh A et al (2020) Plant secondary metabolites synthesis and their regulations under biotic and abiotic constraints. J Plant Biol 63:203–216. https://doi.org/10.1007/s12374-020-09245-7
Article
CAS
Google Scholar
Kim JY, Wu J, Kwon SJ et al (2014a) Proteomics of rice and Cochliobolus miyabeanus fungal interaction: insight into proteins at intracellular and extracellular spaces. Proteomics 14:2307–2318. https://doi.org/10.1002/pmic.201400066
Article
CAS
PubMed
Google Scholar
Kim SG, Wang Y, Lee KH et al (2013) In-depth insight into in vivo apoplastic secretome of rice-Magnaporthe oryzae interaction. J Proteomics 78:58–71. https://doi.org/10.1016/j.jprot.2012.10.029
Article
CAS
PubMed
Google Scholar
Kim ST, Kim SG, Agrawal GK et al (2014b) Rice proteomics: a model system for crop improvement and food security. Proteomics 14:593–610. https://doi.org/10.1002/pmic.201300388
Article
CAS
PubMed
Google Scholar
Kim ST, Kim SG, Kang YH et al (2008) Proteomics analysis of rice lesion mimic mutant (sp/1) reveals tightly localized probenazole-induced protein (PBZ1) in cells undergoing programmed cell death. J Proteome Res 7:1750–1760. https://doi.org/10.1021/pr700878t
Article
CAS
PubMed
Google Scholar
Koga H, Dohi K, Nishiuchi T et al (2012) Proteomic analysis of susceptible rice plants expressing the whole plant-specific resistance against Magnaporthe oryzae: involvement of a thaumatin-like protein. Physiol Mol Plant Pathol 77:60–66. https://doi.org/10.1016/j.pmpp.2011.12.001
Article
CAS
Google Scholar
Kouzai Y, Kimura M, Watanabe M et al (2018) Salicylic acid-dependent immunity contributes to resistance against Rhizoctonia solani, a necrotrophic fungal agent of sheath blight, in rice and Brachypodium distachyon. New Phytol 217:771–783. https://doi.org/10.1111/nph.14849
Article
CAS
PubMed
Google Scholar
Kumar A, Bimolata W, Kannan M et al. (2015) Comparative proteomics reveals differential induction of both biotic and abiotic stress response associated proteins in rice during Xanthomonas oryzae pv. oryzae infection. Funct Integr Genomics 15:425–437. https://doi.org/10.1007/s10142-014-0431-y.
Article
CAS
PubMed
Google Scholar
Kushalappa AC, Gunnaiah R (2013) Metabolo-proteomics to discover plant biotic stress resistance genes. Trends Plant Sci 18:522–531. https://doi.org/10.1016/j.tplants.2013.05.002
Article
CAS
PubMed
Google Scholar
Lee J, Bricker TM, Lefevre M et al (2006) Proteomic and genetic approaches to identifying defence-related proteins in rice challenged with the fungal pathogen Rhizoctonia solani. Mol Plant Pathol 7:405–416. https://doi.org/10.1111/j.1364-3703.2006.00350.x
Article
CAS
PubMed
Google Scholar
Li D, Wang L, Teng S et al (2012a) Proteomics analysis of rice proteins up-regulated in response to bacterial leaf streak disease. J Plant Biol 55:316–324. https://doi.org/10.1007/s12374-011-0346-2
Article
CAS
Google Scholar
Li Y, Nie Y, Zhang Z et al (2014) Comparative proteomic analysis of methyl jasmonate-induced defense responses in different rice cultivars. Proteomics 14:1088–1101. https://doi.org/10.1002/pmic.201300104
Article
CAS
PubMed
Google Scholar
Li Y, Ye Z, Nie Y et al (2015) Comparative phosphoproteome analysis of Magnaporthe oryzae-responsive proteins in susceptible and resistant rice cultivars. J Proteomics 115:66–80. https://doi.org/10.1016/j.jprot.2014.12.007
Article
CAS
PubMed
Google Scholar
Li Y, Zhang Z, Nie Y et al (2012b) Proteomic analysis of salicylic acid-induced resistance to Magnaporthe oryzae in susceptible and resistant rice. Proteomics 12:2340–2354. https://doi.org/10.1002/pmic.201200054
Article
CAS
PubMed
Google Scholar
Liang X, Chen X, Li C et al (2017) Metabolic and transcriptional alternations for defense by interfering OsWRKY62 and OsWRKY76 transcriptions in rice. Sci Rep 7:1–15. https://doi.org/10.1038/s41598-017-02643-x
Article
CAS
Google Scholar
Ling Y, Ang L, Weilin Z (2019) Current understanding of the molecular players involved in resistance to rice planthoppers. Pest Manag Sci 75:2566–2574. https://doi.org/10.1002/ps.5487
Article
CAS
PubMed
Google Scholar
Liu C, Du B, Hao F et al (2017) Dynamic metabolic responses of brown planthoppers towards susceptible and resistant rice plants. Plant Biotechnol J 15:1346–1357. https://doi.org/10.1111/pbi.12721
Article
CAS
PubMed
PubMed Central
Google Scholar
Liu C, Hao F, Hu J et al (2010) Revealing different systems responses to brown planthopper infestation for pest susceptible and resistant rice plants with the combined metabonomic and gene-expression analysis. J Proteome Res 9:6774–6785. https://doi.org/10.1021/pr100970q
Article
CAS
PubMed
Google Scholar
Liu H, Wang Z, Xu W et al (2020) Bacillus pumilus LZP02 promotes rice root growth by improving carbohydrate metabolism and phenylpropanoid biosynthesis. Mol Plant Microbe Interact 33:1222–1231. https://doi.org/10.1094/MPMI-04-20-0106-R
Article
CAS
PubMed
Google Scholar
Liu Q, Wang X, Tzin V et al (2016) Combined transcriptome and metabolome analyses to understand the dynamic responses of rice plants to attack by the rice stem borer Chilo suppressalis (Lepidoptera: Crambidae). BMC Plant Biol 16:1–17. https://doi.org/10.1186/s12870-016-0946-6
Article
CAS
Google Scholar
Liu Y, Lu S, Liu K et al (2019) Proteomics: a powerful tool to study plant responses to biotic stress. Plant Methods 15:1–20. https://doi.org/10.1186/s13007-019-0515-8
Article
Google Scholar
Lu HP, Luo T, Fu HW et al (2018) Resistance of rice to insect pests mediated by suppression of serotonin biosynthesis. Nat Plants 4:338–344. https://doi.org/10.1038/s41477-018-0152-7
Article
CAS
PubMed
Google Scholar
Ludwig C, Gillet L, Rosenberger G et al (2018) Data-independent acquisition-based SWATH - MS for quantitative proteomics: a tutorial. Mol Syst Biol 14:1–23. https://doi.org/10.15252/msb.20178126
Article
Google Scholar
Ma H, Sheng C, Qiao L et al (2020a) A comparative proteomic approach to identify defence-related proteins between resistant and susceptible rice cultivars challenged with the fungal pathogen Rhizoctonia solani. Plant Growth Regul 90:73–88. https://doi.org/10.1007/s10725-019-00551-w
Article
CAS
Google Scholar
Ma Z, Wang L, Zhao M et al (2020b) ITRAQ proteomics reveals the regulatory response to Magnaporthe oryzae in durable resistant vs. susceptible rice genotypes. PLoS One 15:1–20. https://doi.org/10.1371/JOURNAL.PONE.0227470
Article
Google Scholar
Madhavan S, Paranidharan V, Erban A et al (2019) The metabolic response of suspension-cultured cells from blast-resistant and -susceptible rice (Oryza sativa L.) genotypes to a Pyricularia oryzae elicitor. Indian Phytopathol 72:195–202. https://doi.org/10.1007/s42360-019-00131-y
Article
Google Scholar
Mahmood T, Jan A, Kakishima M et al (2006) Proteomic analysis of bacterial-blight defense-responsive proteins in rice leaf blades. Proteomics 6:6053–6065. https://doi.org/10.1002/pmic.200600470
Article
CAS
PubMed
Google Scholar
Mahmood T, Jan A, Komatsu S (2009a) Proteomic analysis of bacterial blight defence signalling pathway using transgenic rice overexpressing thaumatin-like protein. Biol Plant 53:285–293. https://doi.org/10.1007/s10535-009-0052-9
Article
CAS
Google Scholar
Mahmood T, Kakishima M, Komatsu S (2009b) Proteome analysis of Probenazole-effect in Rice-bacterial blight interactions. Protein Pept Lett 16:1041–1052. https://doi.org/10.2174/092986609789055331
Article
CAS
PubMed
Google Scholar
McDowell JM, Dangl JL (2000) Signal transduction in the plant immune response. Trends Biochem Sci 25:79–82. https://doi.org/10.1016/S0968-0004(99)01532-7
Article
CAS
PubMed
Google Scholar
Meena KK, Sorty AM, Bitla UM et al (2017) Abiotic stress responses and microbe-mediated mitigation in plants: the omics strategies. Front Plant Sci 8:1–25. https://doi.org/10.3389/fpls.2017.00172
Article
Google Scholar
Meng Q, Gupta R, Min CW et al (2019) Proteomics of Rice—Magnaporthe oryzae interaction: what have we learned so far? Front Plant Sci 10:1–14. https://doi.org/10.3389/fpls.2019.01383
Article
Google Scholar
Narula K, Choudhary P, Ghosh S et al (2019) Comparative nuclear proteomics analysis provides insight into the mechanism of signaling and immune response to blast disease caused by Magnaporthe oryzae in Rice. Proteomics 19:1800188. https://doi.org/10.1002/pmic.201800188
Article
CAS
Google Scholar
Nawaz G, Usman B, Peng H et al (2020) Knockout of pi21 by crispr/cas9 and itraq-based proteomic analysis of mutants revealed new insights into M. oryzae resistance in elite rice line. Genes 11:1–24. https://doi.org/10.3390/genes11070735
Article
CAS
Google Scholar
Norvienyeku J, Lin L, Waheed A et al (2020) Bayogenin 3-O-cellobioside confers non cultivar-specific defense against the rice blast fungus Pyricularia oryzae. Plant Biotechnol J. https://doi.org/10.1111/pbi.13488
Okazaki Y, Saito K (2016) Integrated metabolomics and phytochemical genomics approaches for studies on rice. Gigascience 5:1–7. https://doi.org/10.1186/s13742-016-0116-7
Article
CAS
Google Scholar
Parker D, Beckmann M, Zubair H et al (2009) Metabolomic analysis reveals a common pattern of metabolic re-programming during invasion of three host plant species by Magnaporthe grisea. Plant J 59:723–737. https://doi.org/10.1111/j.1365-313X.2009.03912.x
Article
CAS
PubMed
Google Scholar
Peleg Z, Blumwald E (2011) Hormone balance and abiotic stress tolerance in crop plants. Curr Opin Plant Biol 14:290–295. https://doi.org/10.1016/j.pbi.2011.02.001
Article
CAS
PubMed
Google Scholar
Peng L, Zhao Y, Wang H et al (2016) Comparative metabolomics of the interaction between rice and the brown planthopper. Metabolomics 12:132. https://doi.org/10.1007/s11306-016-1077-7
Article
CAS
Google Scholar
Peyraud R, Dubiella U, Barbacci A et al (2017) Advances on plant–pathogen interactions from molecular toward systems biology perspectives. Plant J 90:720–737. https://doi.org/10.1111/tpj.13429
Article
CAS
PubMed
PubMed Central
Google Scholar
Piasecka A, Jedrzejczak-Rey N, Bednarek P (2015) Secondary metabolites in plant innate immunity: conserved function of divergent chemicals. New Phytol 206:948–964. https://doi.org/10.1111/nph.13325
Article
PubMed
Google Scholar
Piasecka A, Kachlicki P, Stobiecki M (2019) Analytical methods for detection of plant metabolomes changes in response to biotic and abiotic stresses. Int J Mol Sci 20:379. https://doi.org/10.3390/ijms20020379
Article
CAS
PubMed Central
Google Scholar
Prathi NB, Palit P, Madhu P et al (2018) Proteomic and transcriptomic approaches to identify resistance and susceptibility related proteins in contrasting rice genotypes infected with fungal pathogen Rhizoctonia solani. Plant Physiol Biochem 130:258–266. https://doi.org/10.1016/j.plaphy.2018.07.012
Article
CAS
PubMed
Google Scholar
Rakwal R, Komatsu S (2000) Role of jasmonate in the rice (Oryza sativa L.) self-defense mechanism using proteome analysis. Electrophoresis 21:2492–2500. https://doi.org/10.1002/1522-2683(20000701)21:12<2492::AID-ELPS2492>3.0.CO;2-2
Article
CAS
PubMed
Google Scholar
Salem MA, De Souza LP, Serag A et al (2020) Metabolomics in the context of plant natural products research: from sample preparation to metabolite analysis. Metabolites 10:1–30. https://doi.org/10.3390/metabo10010037
Article
CAS
Google Scholar
Sana TR, Fischer S, Wohlgemuth G et al (2010) Metabolomic and transcriptomic analysis of the rice response to the bacterial blight pathogen Xanthomonas oryzae pv. oryzae. Metabolomics 6:451–465. https://doi.org/10.1007/s11306-010-0218-7
Article
CAS
PubMed
PubMed Central
Google Scholar
Sarim KM, Srivastava R, Ramteke PW (2020) Next-generation Omics Technologies for Exploring Complex Metabolic Regulation during plant-microbe interaction microbial services in restoration ecology. Elsevier Inc. https://doi.org/10.1016/b978-0-12-819978-7.00009-9
Sarwat M, Ahmad A, Abdin MZ (2013) Stress signaling in plants: genomics and proteomics perspective, volume 1. https://doi.org/10.1007/978-1-4614-6372-6
Book
Google Scholar
Sato K, Kadota Y, Shirasu K (2019) Plant immune responses to parasitic nematodes. Front Plant Sci 10:1–14. https://doi.org/10.3389/fpls.2019.01165
Article
Google Scholar
Savary S, Willocquet L, Pethybridge SJ et al (2019) The global burden of pathogens and pests on major food crops. Nat Ecol Evol 3:430–439. https://doi.org/10.1038/s41559-018-0793-y
Article
PubMed
Google Scholar
Siciliano I, Amaral Carneiro G, Spadaro D et al (2015) Jasmonic acid, Abscisic acid, and salicylic acid are involved in the Phytoalexin responses of Rice to Fusarium fujikuroi, a high gibberellin producer pathogen. J Agric Food Chem 63:8134–8142. https://doi.org/10.1021/acs.jafc.5b03018
Article
CAS
PubMed
Google Scholar
Srivastava S, Bist V, Srivastava S et al (2016) Unraveling aspects of Bacillus amyloliquefaciens mediated enhanced production of rice under biotic stress of Rhizoctonia solani. Front Plant Sci 7:1–16. https://doi.org/10.3389/fpls.2016.00587
Article
Google Scholar
Suharti WS, Nose A, Zheng SH (2016b) Metabolite profiling of sheath blight disease resistance in rice: in the case of positive ion mode analysis by CE/TOF-MS. Plant Prod Sci 19:279–290. https://doi.org/10.1080/1343943X.2016.1140006
Article
CAS
Google Scholar
Suharti WS, Nose A, Zheng SH (2016c) Metabolomic study of two rice lines infected by Rhizoctonia solani in negative ion mode by CE/TOF-MS. J Plant Physiol 206:13–24. https://doi.org/10.1016/j.jplph.2016.09.004
Article
CAS
PubMed
Google Scholar
Suharti WS, Nose A, Zheng S-H (2016a) Canavanine involvement in the interaction of rice lines and Rhizoctonia solani. Acta Physiol Plant 39:37. https://doi.org/10.1007/s11738-016-2331-3
Article
CAS
Google Scholar
Sun R, Qin S, Zhang T et al (2019) Comparative phosphoproteomic analysis of blast resistant and susceptible rice cultivars in response to salicylic acid. BMC Plant Biol 19:1–15. https://doi.org/10.1186/s12870-019-2075-5
Article
CAS
Google Scholar
Sun TK, Sang GK, Du HH et al (2004) Proteomic analysis of pathogen-responsive proteins from rice leaves induced by rice blast fungus, Magnaporthe grisea. Proteomics 4:3569–3578. https://doi.org/10.1002/pmic.200400999
Article
CAS
Google Scholar
Tan BC, Lim YS, Lau SE (2017) Proteomics in commercial crops: an overview. J Proteomics 169:176–188. https://doi.org/10.1016/j.jprot.2017.05.018
Article
CAS
PubMed
Google Scholar
Tian D, Yang L, Chen Z et al (2018) Proteomic analysis of the defense response to Magnaporthe oryzae in rice harboring the blast resistance gene Piz-t. Rice 11:47. https://doi.org/10.1186/s12284-018-0240-3
Article
PubMed
PubMed Central
Google Scholar
Tsunezuka H, Fujiwara M, Kawasaki T et al (2005) Proteome analysis of programmed cell death and defense signaling using the rice lesion mimic mutant cdr2. Mol Plant Microbe Interact 18:52–59. https://doi.org/10.1094/MPMI-18-0052
Article
CAS
PubMed
Google Scholar
Uawisetwathana U, Chevallier OP, Xu Y et al (2019) Global metabolite profiles of rice brown planthopper-resistant traits reveal potential secondary metabolites for both constitutive and inducible defenses. Metabolomics 15:151. https://doi.org/10.1007/s11306-019-1616-0
Article
CAS
PubMed
Google Scholar
Valentino G, Graziani V, D’Abrosca B et al (2020) NMR-based plant metabolomics in nutraceutical research: an overview. Molecules 25:1444. https://doi.org/10.3390/molecules25061444
Article
CAS
PubMed Central
Google Scholar
Valette M, Rey M, Gerin F et al (2020) A common metabolomic signature is observed upon inoculation of rice roots with various rhizobacteria. J Integr Plant Biol 62:228–246. https://doi.org/10.1111/jipb.12810
Article
CAS
PubMed
Google Scholar
Vanderschuren H, Lentz E, Zainuddin I et al (2013) Proteomics of model and crop plant species: status, current limitations and strategic advances for crop improvement. J Proteomics 93:5–19 doi.org/10.1016/j.jprot.2013.05.036
Article
CAS
Google Scholar
Verma V, Ravindran P, Kumar PP (2016) Plant hormone-mediated regulation of stress responses. BMC Plant Biol 16:1–10. https://doi.org/10.1186/s12870-016-0771-y
Article
CAS
Google Scholar
Wang B, Hajano JUD, Ren Y et al (2015) iTRAQ-based quantitative proteomics analysis of rice leaves infected by Rice stripe virus reveals several proteins involved in symptom formation. Virol J 12:1–21. https://doi.org/10.1186/s12985-015-0328-y
Article
CAS
Google Scholar
Wang J, Liu X, Zhang A et al (2019) A cyclic nucleotide-gated channel mediates cytoplasmic calcium elevation and disease resistance in rice. Cell Res 29:820–831. https://doi.org/10.1038/s41422-019-0219-7
Article
CAS
PubMed
PubMed Central
Google Scholar
Wang Y, Kim SG, Wu J et al (2013) Secretome analysis of the rice bacterium Xanthomonas oryzae (Xoo) using in vitro and in planta systems. Proteomics 13:1901–1912. https://doi.org/10.1002/pmic.201200454
Article
CAS
PubMed
Google Scholar
Wang Y, Liu Q, Du L et al (2020) Transcriptomic and Metabolomic responses of Rice plants to Cnaphalocrocis medinalis Caterpillar infestation. Insects 11. https://doi.org/10.3390/insects11100705
Wei Z, Hu W, Lin Q et al (2009) Understanding rice plant resistance to the Brown Planthopper (Nilaparvata lugens): a proteomic approach. Proteomics 9:2798–2808. https://doi.org/10.1002/pmic.200800840
Article
CAS
PubMed
Google Scholar
Will T, Furch AC, Zimmermann MR (2013) How phloem-feeding insects face the challenge of phloem-located defenses. Front Plant Sci 4:1–12. https://doi.org/10.3389/fpls.2013.00336
Article
Google Scholar
Wu X, Gong F, Cao D et al (2016) Advances in crop proteomics: PTMs of proteins under abiotic stress. Proteomics 16:847–865. https://doi.org/10.1002/pmic.201500301
Article
CAS
PubMed
Google Scholar
Wu Y, Mirzaei M, Haynes PA (2017) Proteomics of Rice-our Most valuable food crop proteomics. In: Food science: from farm to fork. Elsevier Inc. https://doi.org/10.1016/B978-0-12-804007-2.00002-3
Xiang C, Yang X, Peng D et al (2020) Proteome-wide analyses provide new insights into the compatible interaction of Rice with the root-knot nematode Meloidogyne graminicola. Int J Mol Sci 21:5640. https://doi.org/10.3390/ijms21165640
Article
CAS
PubMed Central
Google Scholar
Xu Q, Ni H, Chen Q et al (2013) Comparative proteomic analysis reveals the cross-talk between the responses induced by H2O2and by long-term rice black-streaked dwarf virus infection in rice. PLoS One 8:1–14. https://doi.org/10.1371/journal.pone.0081640
Article
CAS
Google Scholar
Xu XH, Wang C, Li SX et al (2015) Friend or foe: differential responses of rice to invasion by mutualistic or pathogenic fungi revealed by RNAseq and metabolite profiling. Sci Rep 5:1–14. https://doi.org/10.1038/srep13624
Article
Google Scholar
Yang Y, Dai L, Xia H et al (2013) Comparative proteomic analysis of rice stripe virus (RSV)-resistant and-susceptible rice cultivars. Aust J Crop Sci 7:588–593
CAS
Google Scholar
Yasmin S, Hafeez FY, Mirza MS et al (2017) Biocontrol of bacterial leaf blight of rice and profiling of secondary metabolites produced by rhizospheric Pseudomonas aeruginosa BRp3. Front Microbiol 8. https://doi.org/10.3389/fmicb.2017.01895
Yu CL, Yan SP, Wang CC et al (2008) Pathogenesis-related proteins in somatic hybrid rice induced by bacterial blight. Phytochemistry 69:1989–1996. https://doi.org/10.1016/j.phytochem.2008.04.006
Article
CAS
PubMed
Google Scholar
Yu L, Wang W, Zeng S et al (2018) Label-free quantitative proteomics analysis of Cytosinpeptidemycin responses in southern rice black-streaked dwarf virus-infected rice. Pestic Biochem Physiol 147:20–26. https://doi.org/10.1016/j.pestbp.2017.06.005
Article
CAS
PubMed
Google Scholar
Zaynab M, Fatima M, Abbas S et al (2018) Microbial pathogenesis role of secondary metabolites in plant defense against pathogens. Microb Pathog 124:198–202. https://doi.org/10.1016/j.micpath.2018.08.034
Article
CAS
PubMed
Google Scholar
Zha W, You A (2020) Comparative iTRAQ proteomic profiling of proteins associated with the adaptation of brown planthopper to moderately resistant vs. susceptible rice varieties. PLoS One 15:1–13. https://doi.org/10.1371/journal.pone.0238549
Article
CAS
Google Scholar
Zhang J, Li Y, Guo J et al (2018) Lipid profiles reveal different responses to brown planthopper infestation for pest susceptible and resistant rice plants. Metabolomics 14:0. https://doi.org/10.1007/s11306-018-1422-0
Article
CAS
Google Scholar
Zhang X, Yin F, Xiao S et al (2019) Proteomic analysis of the rice (Oryza officinalis) provides clues on molecular tagging of proteins for brown planthopper resistance. BMC Plant Biol 19:1–11. https://doi.org/10.1186/s12870-018-1622-9
Article
Google Scholar
Zhu J, Zhu K, Li L et al (2020) Proteomics of the honeydew from the Brown Planthopper and green Rice leafhopper reveal they are rich in proteins from insects, Rice Plant and bacteria. Insects 11. https://doi.org/10.3390/insects11090582
Zogli P, Pingault L, Grover S et al (2020) Ento(o)mics: the intersection of ‘omic’ approaches to decipher plant defense against sap-sucking insect pests. Curr Opin Plant Biol 56:153–161. https://doi.org/10.1016/j.pbi.2020.06.002
Article
CAS
PubMed
Google Scholar