Gene Expression Nebulas
基于标准化流程分析的转录图谱综合数据库

Gene Expression Nebulas

多物种转录图谱整合数据库

PRJNA589193: The rice pseudo phosphotransfer proteins are negative regulators of endogenous cytokinin signaling and affect multiple aspects of growth and development.

来源: NCBI / GSE141408
提交时间: Dec 03, 2019
释放时间: Dec 31, 2022
最后更新时间: Jan 02, 2023

概要: The phytohormone cytokinin plays a significant role in nearly all aspects of plant growth and development. Cytokinin signaling has primarily been studied in the dicot model Arabidopsis, with relatively little work done in monocots, which include rice (Oryza sativa) and other cereals of agronomic importance. The cytokinin signaling pathway is a phosphorelay comprised of the histidine kinase receptors (HKs), the authentic histidine phosphotransfer proteins (AHPs), and the type-B Response Regulators (ARRs). Two negative regulators of cytokinin signaling have been identified: the type-A ARRs, which are cytokinin primary response genes, and the pseudo histidine phosphotransfer proteins (PHPs), which lack the His residue required for phosphorelay. Here, we describe the role of the PHP genes from rice. Phylogenic analysis indicates that the PHPs are generally first found in the genomes of gymnosperms and that they arose independently in monocots and dicots. Consistent with this, the three rice PHPs fail to complement an Arabidopsis php mutant (ahp6). Disruption of the three PHPs results in a molecular phenotype consistent with these elements acting as negative regulators of basal cytokinin signaling, including the constitutive up-regulation of a number of type-A RR and cytokinin oxidase genes. The triple php mutant affects multiple aspects of rice growth and development, including shoot morphology, panicle architecture and seed fill. However, in contrast to Arabidopsis, disruption of the rice PHPs does not affect root vascular patterning, suggesting that while many aspects of key signaling networks are conserved between monocots and dicots, the molecular components regulating some processes are distinct.

项目整体设计: The phytohormone cytokinin plays a significant role in nearly all aspects of plant growth and development. Cytokinin signaling has primarily been studied in the dicot model Arabidopsis, with relatively little work done in monocots, which include rice (Oryza sativa) and other cereals of agronomic importance. The cytokinin signaling pathway is a phosphorelay comprised of the histidine kinase receptors (HKs), the authentic histidine phosphotransfer proteins (AHPs), and the type-B Response Regulators (ARRs). Two negative regulators of cytokinin signaling have been identified: the type-A ARRs, which are cytokinin primary response genes, and the pseudo histidine phosphotransfer proteins (PHPs), which lack the His residue required for phosphorelay. Here, we describe the role of the PHP genes from rice. Phylogenic analysis indicates that the PHPs are generally first found in the genomes of gymnosperms and that they arose independently in monocots and dicots. Consistent with this, the three rice PHPs fail to complement an Arabidopsis php mutant (ahp6). Disruption of the three PHPs results in a molecular phenotype consistent with these elements acting as negative regulators of basal cytokinin signaling, including the constitutive up-regulation of a number of type-A RR and cytokinin oxidase genes. The triple php mutant affects multiple aspects of rice growth and development, including shoot morphology, panicle architecture and seed fill. However, in contrast to Arabidopsis, disruption of the rice PHPs does not affect root vascular patterning, suggesting that while many aspects of key signaling networks are conserved between monocots and dicots, the molecular components regulating some processes are distinct.

GEN 数据集:
GEND000520
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生长方案: -
处理方案: -
提取方案: polyA-enriched, cDNA generated with random primers, PCR amplified
建库方案: null
测序信息
分子类型: poly(A)+ RNA
库的片段类型: PAIRED
库的链类型: -
测序平台: ILLUMINA
测序仪型号: Illumina NovaSeq 6000
链特异性: Unspecific
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数据来源 GEN样本编号 GEN数据集编号 系列编号 项目编号 样本编号 样本名称 生物样本编号 样本访问号 实验访问号 释放时间 提交时间 最后更新时间 物种 种族 族裔 年龄 年龄单位 性别 来源名称 组织 细胞类型 细胞亚型 细胞系 疾病 疾病状态 发育阶段 突变/变异 表型 Condition Detail 生长方案 处理方案 提取方案 建库方案 分子类型 库的片段类型 链特异性 库的链类型 加标(Spike-In) 测序方法 测序平台 测序仪型号 细胞数 测序片段数 碱基数 平均测序片段长度_1 平均测序片段长度_2 唯一比对率 多重比对率 覆盖度