OsGF14e positively regulates panicle blast resistance in rice

Liu, Qing; Jiao, Yang; Zhang, Shaohong; Zhao, Junliang; Feng, Aiqing; Yang, Ting; Wang, Xiaofei; Mao, Xingxue; Dong, Jingfang; Zhu, Xiaoyuan; Leung, Hei; Leach, Jan E.; Liu, Bin

doi:10.1016/j.bbrc.2016.02.005

Cited by 18 publications

(31 citation statements)

References 27 publications

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“…Cluster D7 consists of 2 genes (OsGF14b and OsGF14e) that belong to 14-3-3 gene family. These signalling proteins are reported to be involved in biotic stress and probably associated with JA and SA pathways [150,151]. They interact with Beta-2- and Beta-5-tubulin proteins which play critical role in cell division, elongation and growth.…”

Section: Resultsmentioning

confidence: 99%

Meta-analysis of drought-tolerant genotypes in Oryza sativa: A network-based approach

Sircar

Parekh

2019

PLoS ONE

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Background Drought is a severe environmental stress. It is estimated that about 50% of the world rice production is affected mainly by drought. Apart from conventional breeding strategies to develop drought-tolerant crops, innovative computational approaches may provide insights into the underlying molecular mechanisms of stress response and identify drought-responsive markers. Here we propose a network-based computational approach involving a meta-analytic study of seven drought-tolerant rice genotypes under drought stress. Results Co-expression networks enable large-scale analysis of gene-pair associations and tightly coupled clusters that may represent coordinated biological processes. Considering differentially expressed genes in the co-expressed modules and supplementing external information such as resistance/tolerance QTLs, transcription factors, network-based topological measures, we identify and prioritize drought-adaptive co-expressed gene modules and potential candidate genes. Using the candidate genes that are well-represented across the datasets as ‘seed’ genes, two drought-specific protein-protein interaction networks (PPINs) are constructed with up- and down-regulated genes. Cluster analysis of the up-regulated PPIN revealed ABA signalling pathway as a central process in drought response with a probable crosstalk with energy metabolic processes. Tightly coupled gene clusters representing up-regulation of core cellular respiratory processes and enhanced degradation of branched chain amino acids and cell wall metabolism are identified. Cluster analysis of down-regulated PPIN provides a snapshot of major processes associated with photosynthesis, growth, development and protein synthesis, most of which are shut down during drought. Differential regulation of phytohormones, e.g., jasmonic acid, cell wall metabolism, signalling and posttranslational modifications associated with biotic stress are elucidated. Functional characterization of topologically important, drought-responsive uncharacterized genes that may play a role in important processes such as ABA signalling, calcium signalling, photosynthesis and cell wall metabolism is discussed. Further transgenic studies on these genes may help in elucidating their biological role under stress conditions. Conclusion Currently, a large number of resources for rice functional genomics exist which are mostly underutilized by the scientific community. In this study, a computational approach integrating information from various resources such as gene co-expression networks, protein-protein interactions and pathway-level information is proposed to provide a systems-level view of complex drought-responsive processes across the drought-tolerant genotypes.

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Section: Resultsmentioning

confidence: 99%

Meta-analysis of drought-tolerant genotypes in Oryza sativa: A network-based approach

Sircar

Parekh

2019

PLoS ONE

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“…In additional, OsRac1 , WRKY19 , OsGF14b , and MAPK3 / 6 have been identified as downstream genes of R genes participate in resistance regulation (Liu et al, 2014). Liu et al (2016) also reported low correlation between the levels of leaf and panicle blast resistance observed in the field, and provided that WRKY71 up-regulates the expression of OsGF14b by combining with the promoter of OsGF14b , which resulted in the level of panicle blast resistance is enhanced while the level of seedling leaf blast resistance is lowered. Therefore, it’s suggesting that organ-specifically expressed genes and downstream-regulating genes play an important role on blast resistant difference between seedling and panicle.…”

Section: Discussionmentioning

confidence: 99%

Improving of Rice Blast Resistances in Japonica by Pyramiding Major R Genes

Xiao

Pan

et al. 2017

Front. Plant Sci.

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Rice blast, caused by the fungal pathogen Magnaporthe oryzae, is a major constraint to rice production worldwide. In this study, we developed monogenic near-isogenic lines (NILs) NILPi9, NILPizt, and NILPi54 carrying genes Pi9, Pizt, and Pi54, respectively, by marker assisted backcross breeding using 07GY31 as the japonica genetic background with good agronomic traits. Polygene pyramid lines (PPLs) PPLPi9+Pi54 combining Pi9 with Pi54, and PPLPizt+Pi54 combining Pizt with Pi54 were then developed using corresponding NILs with genetic background recovery rates of more than 97%. Compared to 07GY31, the above NILs and PPLs exhibited significantly enhanced resistance frequencies (RFs) for both leaf and panicle blasts. RFs of both PPLs for leaf blast were somewhat higher than those of their own parental NILs, respectively, and PPLPizt+Pi54 exhibited higher RF for panicle blast than NILPizt and NILPi54 (P < 0.001), hinting an additive effect on the resistance. However, PPLPi9+Pi54 exhibited lower RF for panicle blast than NILPi9 (P < 0.001), failing to realize an additive effect. PPLPizt+Pi54 showed higher resistant level for panicle blast and better additive effects on the resistance than PPLPi9+Pi54. It was suggested that major R genes interacted with each other in a way more complex than additive effect in determining panicle blast resistance levels. Genotyping by sequencing analysis and extreme-phenotype genome-wide association study further confirmed the above results. Moreover, data showed that pyramiding multiple resistance genes did not affect the performance of basic agronomic traits. So the way to enhance levels of leaf and panicle blast resistances for rice breeding in this study is effective and may serve as a reference for breeders.Key Message: Resistant levels of rice blast is resulted from different combinations of major R genes, PPLPizt+Pi54 showed higher resistant level and better additive effects on the panicle blast resistance than PPLPi9+Pi54.

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“…Cluster D7 consists of 2 genes (OsGF14b and OsGF14e) that belong to 14-3-3 gene family. These signaling proteins are reported to be involved in biotic stress and probably associated with JA and SA pathways [150,151]. They interact with Beta-2-and Beta-5-tubulin proteins which play critical role in cell division, elongation and growth.…”

Section: Resultsmentioning

confidence: 99%

Meta-analysis of Drought-tolerant Genotypes inOryza sativa: A Network-based Approach

Sircar¹,

Parekh²

2018

Preprint

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1 3 Background 1 4Drought is a severe environmental stress. It is estimated that about 50% of the world rice production is affected 1 5 mainly by drought. Apart from conventional breeding strategies to develop drought-tolerant crops, innovative 1 6 computational approaches may provide insights into the underlying molecular mechanisms of stress response 1 7 and identify drought-responsive markers. Here we propose a network-based computational approach involving a 1 8 meta-analytic study of seven drought-tolerant rice genotypes under drought stress.

show abstract

OsGF14e positively regulates panicle blast resistance in rice

Cited by 18 publications

References 27 publications

Meta-analysis of drought-tolerant genotypes in Oryza sativa: A network-based approach

Meta-analysis of drought-tolerant genotypes in Oryza sativa: A network-based approach

Improving of Rice Blast Resistances in Japonica by Pyramiding Major R Genes

Meta-analysis of Drought-tolerant Genotypes inOryza sativa: A Network-based Approach

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