Molecular dissection of the response of a rice leucine-rich repeat receptor-like kinase (LRR-RLK) gene to abiotic stresses

Park, SeoJung; Moon, Jun-Cheol; Park, Yong Chan; Kim, Ju-Hee; Kim, Dong Sub; Jang, Cheol Seong

doi:10.1016/j.jplph.2014.08.002

Cited by 72 publications

(51 citation statements)

References 42 publications

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“…In MQTL11.8, a putative leucine-rich repeat receptor protein-encoding gene, Os11g47240, was found. Leucine-rich repeat receptor protein-encoding gene proteins play key roles in a variety of biological pathways, such as plant morphogenesis, meristematic growth, embryogenesis, pollen self-incompatibility, environmental signal processing, hormone regulation, pathogen defense, abscisic acid early signaling, brassinosteroid signaling, negative regulator-programmed cell death, germination speed, and tolerance to oxidative stress (Park et al 2014). In total from the present study, 24 candidate genes were found from 15 MQTLs, which spanned a physical interval length <0.2 Mb.…”

Section: Meta-qtl Analysis Of Rice Panicle-related Traitsmentioning

confidence: 99%

Quantitative trait loci identification and meta-analysis for rice panicle-related traits

Huang

Tao

et al. 2016

Mol Genet Genomics

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map with 6970 markers and a total map length of 1823.1 centimorgan (cM), on which 837 QTLs were projected. These QTLs were then integrated into 87 meta-quantitative trait loci (MQTLs) by meta-analysis, and the 95 % confidence intervals (CI) of them were smaller than the mean value of the original QTLs. Also, 30 MQTLs covered 47 of the 54 QTLs detected from the cross between Nipponbare and H71D in this study. Among them, the two major and stable QTLs, spp10.1 and sd10.1, were found to be included in MQTL10.4. The three other major QTLs, pl3.1, sb2.1, and sb10.1, were included in MQTL3.3, MQTL2.2, and MQTL10.3, respectively. A total of 21 of the 87 MQTLs' phenotypic variation were >20 %. In total, 24 candidate genes were found in 15 MQTLs that spanned physical intervals <0.2 Mb, including genes that have been cloned previously, e.g., EP3, LP, MIP1, HTD1, DSH1, and OsPNH1. However, it would be beneficial to identify a greater number of candidate genes from these MQTLs. Mining new genes that modulate yield and its related traits would assist researchers to better understand the relevant molecular mechanisms. The MQTLs found in this study that have small physical and genetic intervals are useful not only for marker-assisted selection and pyramiding, but they also provide important information of rice yield and related gene mining for future research.Keywords QTL analysis · Meta-analysis · Rice panicle traits · Yield · MQTL Communicated by B. Yang.Y. Wu and M. Huang are contributed equally to this work. Electronic supplementary materialThe online version of this article (

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Section: Meta-qtl Analysis Of Rice Panicle-related Traitsmentioning

confidence: 99%

Quantitative trait loci identification and meta-analysis for rice panicle-related traits

Huang

Tao

et al. 2016

Mol Genet Genomics

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“…To confirm that the observed phenotypic changes in salt insensitivity were linked to changes in the expression levels of salt‐related genes, OsSNAC2 ( O. sativa stress‐responsive NAM, ATAF, and CUC; H. Hu et al, ), OsLEA3 ( O. sativa late embryogenesis abundant 3 ; T. Z. Hu, ), OsPR1b ( O. sativa pathogenesis‐related 1b ; S. Park et al, ), OsRD29A ( O. sativa responsive to dehydration 29A ; Xu et al, ), OsPBZ1 ( O. sativa ProBenzole inducible gene 1 ; C. Guo et al, ), and OsSOS1 as well as OsSIRH2‐14 interacting substrate genes ( OsHKT2;1 , OsSalT , and OsPRF2 ) were evaluated by qRT‐PCR in WT and OsSIRH2‐14 ‐overexpressing plants (Line #2; Figure ). Under the unstressed conditions, there were no clear differences in the transcript levels of the nine genes tested between WT and OsSIRH2‐14 ‐overexpressing plants (Line #2).…”

Section: Resultsmentioning

confidence: 99%

A rice really interesting new gene H2‐type E3 ligase, OsSIRH2‐14, enhances salinity tolerance via ubiquitin/26S proteasome‐mediated degradation of salt‐related proteins

Park

Lim

Moon

et al. 2019

Plant Cell & Environment

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Salinity is a deleterious abiotic stress factor that affects growth, productivity, and physiology of crop plants. Strategies for improving salinity tolerance in plants are critical for crop breeding programmes. Here, we characterized the rice (Oryza sativa) really interesting new gene (RING) H2‐type E3 ligase, OsSIRH2‐14 (previously named OsRFPH2‐14), which plays a positive role in salinity tolerance by regulating salt‐related proteins including an HKT‐type Na+ transporter (OsHKT2;1). OsSIRH2‐14 expression was induced in root and shoot tissues treated with NaCl. The OsSIRH2‐14‐EYFP fusion protein was predominately expressed in the cytoplasm, Golgi, and plasma membrane of rice protoplasts. In vitro pull‐down assays and bimolecular fluorescence complementation assays revealed that OsSIRH2‐14 interacts with salt‐related proteins, including OsHKT2;1. OsSIRH2‐14 E3 ligase regulates OsHKT2;1 via the 26S proteasome system under high NaCl concentrations but not under normal conditions. Compared with wild type plants, OsSIRH2‐14‐overexpressing rice plants showed significantly enhanced salinity tolerance and reduced Na+ accumulation in the aerial shoot and root tissues. These results suggest that the OsSIRH2‐14 RING E3 ligase positively regulates the salinity stress response by modulating the stability of salt‐related proteins.

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“…response to abiotic stresses, and PCD (Song et al 1995;Oh et al 2010;Park et al 2014). In addition to the TDFs involved in PCD, the EST database contains some of the genes known to be involved in different forms of PCD in other plant species.…”

Section: Discussionmentioning

confidence: 99%

Identification of Differentially Expressed Genes during Lace Plant Leaf Development

Rantong

Kelen

Breusegem

et al. 2016

International Journal of Plant Sciences

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Editor: John L. Bowman Premise of research. The lace plant is an excellent and unique model for studying developmentally regulated programmed cell death (PCD) in plants. Perforations form in highly predictable and easily accessible and distinguishable areas in lace plant leaves. However, little is known about the genes involved in regulation of this PCD or leaf development. In this study, for the first time, a general gene expression profile for lace plant leaf development was investigated.Methodology. A cDNA-amplified fragment length polymorphism involving 64 primer combinations was used for a half-genome analysis of 4666 transcripts. Two hundred and thirty differentially expressed transcriptderived fragments (TDFs) were sequenced. A partial expressed sequence tag (EST) database for window-stage (in which PCD is occurring) leaves was also established. Through a reverse transcription polymerase chain reaction, the possible role of ubiquitin in lace plant PCD was investigated.Pivotal results. Seventy-nine TDFs were successfully annotated. The isolated TDFs and ESTs encoded genes involved in processes such as photosynthesis, biosynthesis pathways, gene regulation, stress responses, defense against pathogens, and PCD, among others. Indirect evidence through ubiquitin transcript levels suggests involvement of proteasome machinery in lace plant development and PCD. This study provides a foundation for selective studies on regulation of lace plant leaf development and PCD.

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Molecular dissection of the response of a rice leucine-rich repeat receptor-like kinase (LRR-RLK) gene to abiotic stresses

Cited by 72 publications

References 42 publications

Quantitative trait loci identification and meta-analysis for rice panicle-related traits

Quantitative trait loci identification and meta-analysis for rice panicle-related traits

A rice really interesting new gene H2‐type E3 ligase, OsSIRH2‐14, enhances salinity tolerance via ubiquitin/26S proteasome‐mediated degradation of salt‐related proteins

Identification of Differentially Expressed Genes during Lace Plant Leaf Development

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