Identification on mitogen-activated protein kinase signaling cascades by integrating protein interaction with transcriptional profiling analysis in cotton

Zhang, Xueying; Mi, Xinyue; Chen, Chuan; Wang, Rui; Guo, Wenshan

doi:10.1038/s41598-018-26400-w

Cited by 19 publications

(12 citation statements)

References 71 publications

(108 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar results were reported by Reyna and Yang [32], where exogenous treatment of different signaling molecules induced the expression of blast fungus responsive OsMPK5 , OsMPK12 , and OsMPK13 . Plant MAPKs have been reported to regulate multiple phytohormone signaling pathways, and some of them act as the nexus for two or more hormone signaling pathways [55]. OsMPK3 and OsMPK6 have been reported to act as the nexus in the interplay of auxin and cytokinin [56].…”

Section: Discussionmentioning

confidence: 99%

Differential Responses of OsMPKs in IR56 Rice to Two BPH Populations of Different Virulence Levels

Nanda

Wan

Yuan

et al. 2018

IJMS

View full text Add to dashboard Cite

The conserved mitogen-activated protein kinase (MAPK) cascades play vital roles in plant defense responses against pathogens and insects. In the current study, the expression profiles of 17 OsMPKs were determined in the TN1 and IR56 rice varieties under the infestation of brown planthopper (BPH), one of the most destructive hemimetabolous rice pests. The virulent IR56 BPH population (IR56-BPH) and the avirulent TN1 BPH population (TN-BPH) were used to reveal the roles of OsMPKs in the compatible (IR56-BPH infested on the TN1 and IR56 rice varieties, and TN1-BPH infested on the TN1 rice variety) and the incompatible (TN1-BPH infested on the IR56 rice variety) interaction. The statistical analysis revealed that rice variety, BPH population type, and infestation period have significant effects on the transcription of OsMPKs. Out of these genes, five OsMPKs (OsMPK1, OsMPK3, OsMPK7, OsMPK14, and OsMPK16) were found to exhibit upregulated expression only during incompatible interaction. Six OsMPKs (OsMPK4, OsMPK5, OsMPK8, OsMPK9, OsMPK12, and OsMPK13) were associated with both incompatible and compatible interactions. The transcription analysis of salicylic acid, jasmonic acid, and ethylene phytohormone signaling genes revealed their roles during the rice–BPH interactions. The upregulated expression of OsC4H, OsCHS, and OsCHI in the incompatible interaction implied the potential defense regulatory roles of phenylpropanoids. In both varieties, the elevated transcript accumulations of OsGST and OsSOD, and the increased enzyme activities of POD, SOD, and GST at 1 day post-infestation (dpi), but not at 3 dpi, indicated that reactive oxygen species (ROS) signaling might be an early event in rice–BPH interactions. Furthermore, upregulated transcription of OsLecRK3 and OsLecRK4 was found only during an incompatible interaction, suggesting their involvement in the BPH resistance response in the IR56 rice variety. Lastly, based on the findings of this study, we have proposed a model of interactions of IR56 rice with TN1-BPH and IR56-BPH that depicts the resistance and susceptibility reactions, respectively.

show abstract

Section: Discussionmentioning

confidence: 99%

Differential Responses of OsMPKs in IR56 Rice to Two BPH Populations of Different Virulence Levels

Nanda

Wan

Yuan

et al. 2018

IJMS

View full text Add to dashboard Cite

show abstract

“…Several MAPK-related genes have been identified in the Gossypium raimondii and Gossypium hirsutum genomes, which are intricately related to MAPK pathways and involved in response to various environmental stresses, including cold, heat, and drought (Table 1) [27]. Further functional investigations of MAPK signaling cascades will provide insight into their biological functions and roles in response to hormonal stress responses and interactions between members of the MAPK gene family.…”

Section: Mitogen Activated Protein Kinase (Mapk) Signaling Pathwaymentioning

confidence: 99%

“…Reduced water loss trough stomatal conductance, and increased proline content and antioxidant enzymes [27] GhWRKY41…”

Section: Transcription Factormentioning

confidence: 99%

Insights into Drought Stress Signaling in Plants and the Molecular Genetic Basis of Cotton Drought Tolerance

Mahmood

Khalid

Abdullah

et al. 2019

Cells

233

141

View full text Add to dashboard Cite

Drought stress restricts plant growth and development by altering metabolic activity and biological functions. However, plants have evolved several cellular and molecular mechanisms to overcome drought stress. Drought tolerance is a multiplex trait involving the activation of signaling mechanisms and differentially expressed molecular responses. Broadly, drought tolerance comprises two steps: stress sensing/signaling and activation of various parallel stress responses (including physiological, molecular, and biochemical mechanisms) in plants. At the cellular level, drought induces oxidative stress by overproduction of reactive oxygen species (ROS), ultimately causing the cell membrane to rupture and stimulating various stress signaling pathways (ROS, mitogen-activated-protein-kinase, Ca2+, and hormone-mediated signaling). Drought-induced transcription factors activation and abscisic acid concentration co-ordinate the stress signaling and responses in cotton. The key responses against drought stress, are root development, stomatal closure, photosynthesis, hormone production, and ROS scavenging. The genetic basis, quantitative trait loci and genes of cotton drought tolerance are presented as examples of genetic resources in plants. Sustainable genetic improvements could be achieved through functional genomic approaches and genome modification techniques such as the CRISPR/Cas9 system aid the characterization of genes, sorted out from stress-related candidate single nucleotide polymorphisms, quantitative trait loci, and genes. Exploration of the genetic basis for superior candidate genes linked to stress physiology can be facilitated by integrated functional genomic approaches. We propose a third-generation sequencing approach coupled with genome-wide studies and functional genomic tools, including a comparative sequenced data (transcriptomics, proteomics, and epigenomic) analysis, which offer a platform to identify and characterize novel genes. This will provide information for better understanding the complex stress cellular biology of plants.

show abstract

“…The advent of sequencing technologies and rapid progress in bioinformatics tools has assisted the sequencing of the plant genomes at a faster pace. Genome-wide identification of MPKs and MKKs has been documented in various plant species, including both model and crop species [ 14 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ]. Previous identification and characterization of MAP Kinase cascade proteins in rice, Arabidopsis , and other plants [ 4 , 39 , 40 ] provide a wealth of information for comparative analyses of these proteins in species that have yet to be studied.…”

Section: Introductionmentioning

confidence: 99%

Identification and Characterization of Mitogen-Activated Protein Kinase (MAPK) Genes in Sunflower (Helianthus annuus L.)

Neupane

Schweitzer

Neupane

et al. 2019

Plants

View full text Add to dashboard Cite

Mitogen-Activated Protein Kinase (MAPK) genes encode proteins that regulate biotic and abiotic stresses in plants through signaling cascades comprised of three major subfamilies: MAP Kinase (MPK), MAPK Kinase (MKK), and MAPKK Kinase (MKKK). The main objectives of this research were to conduct genome-wide identification of MAPK genes in Helianthus annuus and examine functional divergence of these genes in relation to those in nine other plant species (Amborella trichopoda, Aquilegia coerulea, Arabidopsis thaliana, Daucus carota, Glycine max, Oryza sativa, Solanum lycopersicum, Sphagnum fallax, and Vitis vinifera), representing diverse taxonomic groups of the Plant Kingdom. A Hidden Markov Model (HMM) profile of the MAPK genes utilized reference sequences from A. thaliana and G. max, yielding a total of 96 MPKs and 37 MKKs in the genomes of A. trichopoda, A. coerulea, C. reinhardtii, D. carota, H. annuus, S. lycopersicum, and S. fallax. Among them, 28 MPKs and eight MKKs were confirmed in H. annuus. Phylogenetic analyses revealed four clades within each subfamily. Transcriptomic analyses showed that at least 19 HaMPK and seven HaMKK genes were induced in response to salicylic acid (SA), sodium chloride (NaCl), and polyethylene glycol (Peg) in leaves and roots. Of the seven published sunflower microRNAs, five microRNA families are involved in targeting eight MPKs. Additionally, we discussed the need for using MAP Kinase nomenclature guidelines across plant species. Our identification and characterization of MAP Kinase genes would have implications in sunflower crop improvement, and in advancing our knowledge of the diversity and evolution of MAPK genes in the Plant Kingdom.

show abstract

Identification on mitogen-activated protein kinase signaling cascades by integrating protein interaction with transcriptional profiling analysis in cotton

Cited by 19 publications

References 71 publications

Differential Responses of OsMPKs in IR56 Rice to Two BPH Populations of Different Virulence Levels

Differential Responses of OsMPKs in IR56 Rice to Two BPH Populations of Different Virulence Levels

Insights into Drought Stress Signaling in Plants and the Molecular Genetic Basis of Cotton Drought Tolerance

Identification and Characterization of Mitogen-Activated Protein Kinase (MAPK) Genes in Sunflower (Helianthus annuus L.)

Contact Info

Product

Resources

About