Difference between revisions of "Os02g0759800"
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| + | Global Expression Changes in S58S and S59R Plants. Considering the nature of SKIP as a transcription regulator, we compared the expression profiles of S58S, S59R, and WT plants under normal growth conditions using the Affymetrix gene chip of rice. According to linear model analysis, 635 genes were detected with more than a 2-fold change (P � 0.01) of transcript level in S59R plants(336 and 299 were up- and down-regulated, respectively) and 115 genes exhibited more than a 2-fold change (P�0.01) in S58S plants(57 and 58 were up- and down-regulated, respectively). About 95%(19 of 20) of the genes showing expression level change could beresults suggest that OsSKIPa can affect the transcript levels of a large number of genes. Gene ontology analysis of the genes up- or down-regulated in the S58S and S59R plants revealed that genes in 3 categories of biological processes were significantly overrepresented (hypergeometric test, P � 0.01): response to stimulus (biotic, abiotic, and endogenous stimuli), metabolism, and cell communication. Among the 661 genes with expression levels changed by more | ||
| + | than 2-fold in the transgenic plants, 216, 199, and 120 genes are responsive to drought, salt, and cold stresses, respectively (data not | ||
| + | shown), based on the published microarray analysis. Of note, several genes encoding enzymes for ROS reactions were changed in S58S or S59R plants. Bioinformatic analysis of the cis-elements in the promoters of these genes suggested that 29 cis-elements deposited in the promoter database (PLACE) were enriched, especially stress- and ABA-specific cis-elements, including several ABA responsive element-related elements and CANNTG box. These results further suggested that OsSKIPa may participate in the transcriptional regulation of numerous stressrelated genes. | ||
===Extension knowledge=== | ===Extension knowledge=== | ||
Revision as of 08:43, 1 June 2014
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Contents
Annotated Information
Function
OsSKIPa has evolved a specific function in positive modulation of stress resistance through transcriptional regulation of diverse stress-related genes in rice. OsSKIPa not only has the ability to complement the yeast mutant of SNW/SKIP homolog PRP45 but functions in regulating cell viability and stress tolerance. Among the 35 OsSKIPa-interacting proteins identified in this study, very few showed homology to the SKIP-interacting proteins reported in animals and yeast, indicatingfunctional diversification of SKIP proteins in plants. Suppression of OsSKIPa in rice resulted in growth arrest and reduced cell viability. The expression OsSKIPa is induced by various abiotic stresses and phytohormone treatments. Transgenic rice overexpressing OsSKIPa exhibited significantly improved growth performance in the medium containing stress agents (abscisic acid, salt, or mannitol) and drought resistance at both the seedling and reproductive stages.
Expression
The OsSKIPa-overexpressing rice showed significantly increased reactive oxygen species-scavenging ability and transcript levels of many stress-related genes, including SNAC1 and rice homologs of CBF2, PP2C, and RD22, under drought stress conditions. More than 30 OsSKIPa-interacting proteins were identified, but most of these proteins have no matcheswith the reported SKIP-interacting proteins in animals and yeast. Together, these data suggest that OsSKIPa has evolved a specific function in positive modulation of stress resistance through transcriptional regulation of diverse stress-related genes in rice.
Evolution
OsSKIPa, a rice homolog of human Ski-interacting protein (SKIP) that can complement the lethal defect of the knockout mutant of SKIP homolog in yeast and positively modulate cell viability and stress tolerance of rice.
Mutation
Global Expression Changes in S58S and S59R Plants. Considering the nature of SKIP as a transcription regulator, we compared the expression profiles of S58S, S59R, and WT plants under normal growth conditions using the Affymetrix gene chip of rice. According to linear model analysis, 635 genes were detected with more than a 2-fold change (P � 0.01) of transcript level in S59R plants(336 and 299 were up- and down-regulated, respectively) and 115 genes exhibited more than a 2-fold change (P�0.01) in S58S plants(57 and 58 were up- and down-regulated, respectively). About 95%(19 of 20) of the genes showing expression level change could beresults suggest that OsSKIPa can affect the transcript levels of a large number of genes. Gene ontology analysis of the genes up- or down-regulated in the S58S and S59R plants revealed that genes in 3 categories of biological processes were significantly overrepresented (hypergeometric test, P � 0.01): response to stimulus (biotic, abiotic, and endogenous stimuli), metabolism, and cell communication. Among the 661 genes with expression levels changed by more than 2-fold in the transgenic plants, 216, 199, and 120 genes are responsive to drought, salt, and cold stresses, respectively (data not shown), based on the published microarray analysis. Of note, several genes encoding enzymes for ROS reactions were changed in S58S or S59R plants. Bioinformatic analysis of the cis-elements in the promoters of these genes suggested that 29 cis-elements deposited in the promoter database (PLACE) were enriched, especially stress- and ABA-specific cis-elements, including several ABA responsive element-related elements and CANNTG box. These results further suggested that OsSKIPa may participate in the transcriptional regulation of numerous stressrelated genes.
Extension knowledge
Labs working on this gene
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References
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Structured Information
| Gene Name |
Os02g0759800 |
|---|---|
| Description |
Similar to GAMYB-binding protein (Fragment) |
| Version |
NM_001054719.1 GI:115448808 GeneID:4330796 |
| Length |
2353 bp |
| Definition |
Oryza sativa Japonica Group Os02g0759800, complete gene. |
| Source |
Oryza sativa Japonica Group ORGANISM Oryza sativa Japonica Group
Eukaryota; Viridiplantae; Streptophyta; Embryophyta; Tracheophyta;
Spermatophyta; Magnoliophyta; Liliopsida; Poales; Poaceae; BEP
clade; Ehrhartoideae; Oryzeae; Oryza.
|
| Chromosome | |
| Location |
Chromosome 2:32882205..32884557 |
| Sequence Coding Region |
32882604..32884427 |
| Expression | |
| Genome Context |
<gbrowseImage1> name=NC_008395:32882205..32884557 source=RiceChromosome02 preset=GeneLocation </gbrowseImage1> |
| Gene Structure |
<gbrowseImage2> name=NC_008395:32882205..32884557 source=RiceChromosome02 preset=GeneLocation </gbrowseImage2> |
| Coding Sequence |
<cdnaseq>atggcgtccctcaaggagctcctcccgacgcccaaggcggcggcgtcgacgttctacgaccacagcagcgacccgtggttcaaggagcggtatggcggggagtcggcgcaatccgacgcggcggcggcggcggcgaagccttcgggccccgccaagcccgtgccgccgtacgggaagcgtggcgggttcgtgccgcggcggccggaggacttcggggacggcggcgccttcccggagatccacgtcgcgcagtacccgctcggcatgggccggcgcgacgagaagggcggctcgaagatcctcgcgctcaccgtcgacgccaagggcagcgtcgccttcgacgccgtcgtgaagcagggtgagaacgcctctaagatcgtttactcaaagcacagcgacctcgtgcccaagattgccacggctgattccgaggcaaccgcggacgacgaggagtaccagaaacagatcgaagaaaccactgaacgaactaaagctgccttggagaaggttgtcaatgttcggctctccgccgcacagcccaagaatgtgccgacgcatgattcagagtcaaagtttatcaagtataagccatcgcagcaatcggcagccttcaattcaggtgccaaggagaggattattaggatgtcagagatggctcaggatcctcttgagccaccgaaattcaagcataagcgagtgccccgcgcttctggatcaccgcctgtcccagtgatgcactcgccaccacggccagtgacagtgaaggaccagcaagattggaagattccaccatgcatttcaaattggaaaaatccaaagggttacaccataccactcgacaagaggttggcagctgatggaagggggctgcaggaggttcaaattaatgataactttgcaaagctctctgaagcactgtatgtggcggagcagaaggccagggaggcagtacagatgcgatccaaggtgcagagggagctgcagctgaaggagaaggagaggaaggagcaagagctaagggcacttgcacagaaggcgcgcatggagaggactggtgccccacctgcacctacaggggttcctgctggtggtggtagaggtgctgttgatgacagggaggaagatatggatttggagcagcctcgtgagcaacgaagggagagtagagaagaaagggaagcaaggattgagcgtgacaggattcgtgaggagaggagacgtgagagggagagagagaggaggctggaggccagggatgctgcaatgggcaagaagagtaagctcactagagacagggatcgtgatgtcagtgagaagattgccctgggcatggcaagcactggcggtgctaaaggtggggaagtcatgtatgaccagaggttgttcaaccaggataaaggaatggactctgggtttgctacagatgatcagtataacatctactccaagggtctcttcacagcgcagccaacgctatccacactttacaggcctaagaaggacggtgattctgatgtgtatggcgatgcagatgaacaactggagaaggttatgaagacagataggttcaaaccagacaaaggattttctggtgcttcagagaggtctggaaagagagacagacctgtggagtttgataaacaggaggagaatgatcccttcggtcttgatcagttcttgactgaagtgaagaaggggaagaaagctgttgagaagattggaagcggaggagccatgagggcaagtggtggatcctcaatgagagatgattacgagggtggaggatctgggaggtcccgcattaactttgaaagaggtcgttga</cdnaseq> |
| Protein Sequence |
<aaseq>MASLKELLPTPKAAASTFYDHSSDPWFKERYGGESAQSDAAAAA AKPSGPAKPVPPYGKRGGFVPRRPEDFGDGGAFPEIHVAQYPLGMGRRDEKGGSKILA LTVDAKGSVAFDAVVKQGENASKIVYSKHSDLVPKIATADSEATADDEEYQKQIEETT ERTKAALEKVVNVRLSAAQPKNVPTHDSESKFIKYKPSQQSAAFNSGAKERIIRMSEM AQDPLEPPKFKHKRVPRASGSPPVPVMHSPPRPVTVKDQQDWKIPPCISNWKNPKGYT IPLDKRLAADGRGLQEVQINDNFAKLSEALYVAEQKAREAVQMRSKVQRELQLKEKER KEQELRALAQKARMERTGAPPAPTGVPAGGGRGAVDDREEDMDLEQPREQRRESREER EARIERDRIREERRRERERERRLEARDAAMGKKSKLTRDRDRDVSEKIALGMASTGGA KGGEVMYDQRLFNQDKGMDSGFATDDQYNIYSKGLFTAQPTLSTLYRPKKDGDSDVYG DADEQLEKVMKTDRFKPDKGFSGASERSGKRDRPVEFDKQEENDPFGLDQFLTEVKKG KKAVEKIGSGGAMRASGGSSMRDDYEGGGSGRSRINFERGR</aaseq> |
| Gene Sequence |
<dnaseqindica>131..1954#atcgcgttgcccaaataattacacgaatcgaaccaaaccctagcttttcctcttcgattcccgatcccccacccagcgactcgccggaaccctagccctagatcccgcgcggcttgccgccgtgctagccatggcgtccctcaaggagctcctcccgacgcccaaggcggcggcgtcgacgttctacgaccacagcagcgacccgtggttcaaggagcggtatggcggggagtcggcgcaatccgacgcggcggcggcggcggcgaagccttcgggccccgccaagcccgtgccgccgtacgggaagcgtggcgggttcgtgccgcggcggccggaggacttcggggacggcggcgccttcccggagatccacgtcgcgcagtacccgctcggcatgggccggcgcgacgagaagggcggctcgaagatcctcgcgctcaccgtcgacgccaagggcagcgtcgccttcgacgccgtcgtgaagcagggtgagaacgcctctaagatcgtttactcaaagcacagcgacctcgtgcccaagattgccacggctgattccgaggcaaccgcggacgacgaggagtaccagaaacagatcgaagaaaccactgaacgaactaaagctgccttggagaaggttgtcaatgttcggctctccgccgcacagcccaagaatgtgccgacgcatgattcagagtcaaagtttatcaagtataagccatcgcagcaatcggcagccttcaattcaggtgccaaggagaggattattaggatgtcagagatggctcaggatcctcttgagccaccgaaattcaagcataagcgagtgccccgcgcttctggatcaccgcctgtcccagtgatgcactcgccaccacggccagtgacagtgaaggaccagcaagattggaagattccaccatgcatttcaaattggaaaaatccaaagggttacaccataccactcgacaagaggttggcagctgatggaagggggctgcaggaggttcaaattaatgataactttgcaaagctctctgaagcactgtatgtggcggagcagaaggccagggaggcagtacagatgcgatccaaggtgcagagggagctgcagctgaaggagaaggagaggaaggagcaagagctaagggcacttgcacagaaggcgcgcatggagaggactggtgccccacctgcacctacaggggttcctgctggtggtggtagaggtgctgttgatgacagggaggaagatatggatttggagcagcctcgtgagcaacgaagggagagtagagaagaaagggaagcaaggattgagcgtgacaggattcgtgaggagaggagacgtgagagggagagagagaggaggctggaggccagggatgctgcaatgggcaagaagagtaagctcactagagacagggatcgtgatgtcagtgagaagattgccctgggcatggcaagcactggcggtgctaaaggtggggaagtcatgtatgaccagaggttgttcaaccaggataaaggaatggactctgggtttgctacagatgatcagtataacatctactccaagggtctcttcacagcgcagccaacgctatccacactttacaggcctaagaaggacggtgattctgatgtgtatggcgatgcagatgaacaactggagaaggttatgaagacagataggttcaaaccagacaaaggattttctggtgcttcagagaggtctggaaagagagacagacctgtggagtttgataaacaggaggagaatgatcccttcggtcttgatcagttcttgactgaagtgaagaaggggaagaaagctgttgagaagattggaagcggaggagccatgagggcaagtggtggatcctcaatgagagatgattacgagggtggaggatctgggaggtcccgcattaactttgaaagaggtcgttgaggtattagatctgcatgttttgttcagaagtttctccatgcattccaaatgttatctggagggtattctgttgagaatatcaacttcttgatgagaggacttgatgtctgagttgtcttaatgcaacgtctacttccaaggggcatcttaaggagtgtacctgtttagatcctgtgattatgcttgttgtttatctatttgtggatggatctgtaagcttaacttatcatcattccatatcccttatattttgtggtgctttatgaagtctcgatgtgtctggctgaccttacattttctggtactgtaccaagtctttaagatgtatctgcctatctggctgaaatactgagacacgggatacatataaattccgtgttctgttttttcacaagttct</dnaseqindica> |
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