Rice Root
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA964501 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR24714900_1.fastq.gz | Fastqsanger.gz | |||
| SRR24714900_2.fastq.gz | Fastqsanger.gz | |||
| SRR24715000_1.fastq.gz | Fastqsanger.gz | |||
| SRR24715000_2.fastq.gz | Fastqsanger.gz | |||
| SRR24714901_1.fastq.gz | Fastqsanger.gz |
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Project description:Rice has evolved regulatory programs and specialized cell types that allow the plant to withstand different environments. To understand how rice root systems cope with water stresses, we profiled translatomes (ribosome-associated mRNAs) and accessible chromatin of developmentally-defined root cell populations from well-watered and drained control (aerobic control), water deficit, waterlogged, fully submerged plants and recovery conditions. Whereas, the waterlogging responses are limited to specific root domains, water deficit and submergence signatures are extensive, and mostly reversible after 1 day of recovery, relative to control roots. Root systems were also evaluated in rice cultivated in a paddy field. Specific responses include a halt in the cell-cycle and DNA synthesis-related genes translation in meristematic tissue under submergence and exo/endodermis suberin-related pathways bolstering under water deficit. Chromatin accessibility and translatome data integration was used to generate inferred regulatory networks that are dynamically regulated by changing water availability. The data collection is further enriched by translatome and chromatin accessibility data for the root systems of plate-grown seedlings (7 day old) and those cultivated in a paddy field (49 day old). An atlas of eight cell population translatomes for field-grown plants exhibited robust cell type expression. Collectively, these data for specific cell populations at multiple developmental ages and in multiple environments including growth two limiting water stresses will serve as a community resource.
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Project description:There are two main types of root systems in flowering plants, which are taproot systems in dicot and fibrous root systems in monocot. The cellular and molecular mechanism involved in root development are mainly from the study of dicot model Arabidopsis thaliana. However, mechanisms of root development and their conservation and divergence in monocot, which including the major crops, remain largely elusive. Here we profile the transcriptomes of more than 20,000 single cells in the root tips of two rice cultivars, Nipponbare (Nip; Japonica) and 93-11 (Indica). Single-cell analysis coupled with in situ hybridization identify the cell type-specific marker genes and annotate all the clusters. Comparison of single-cell transcriptome and analysis of mark gene expression suggest well-conserved molecular landscape between rice Nip and 93-11. Moreover, our analysis suggests specific functions gene expression patterns for each cell type cluster, including the hormone genes. Comparison to Arabidopsis single-cell RNA-sequencing dataset reveals extensive differences between Arabidopsis and rice cell types, and species-specific features emphasize the importance of directly studying rice root. Our study reveals transcriptome landscape of major cell types of rice root in singe-cell resolution and provides molecular insight of the cell type morphology of cell type evolution in plants.
2020-12-25 | GSE146034 | GEO
Project description:There are two main types of root systems in flowering plants, which are taproot systems in dicot and fibrous root systems in monocot. The cellular and molecular mechanism involved in root development are mainly from the study of dicot model Arabidopsis thaliana. However, mechanisms of root development and their conservation and divergence in monocot, which including the major crops, remain largely elusive. Here we profile the transcriptomes of more than 20,000 single cells in the root tips of two rice cultivars, Nipponbare (Nip; Japonica) and 93-11 (Indica). Single-cell analysis coupled with in situ hybridization identify the cell type-specific marker genes and annotate all the clusters. Comparison of single-cell transcriptome and analysis of mark gene expression suggest well-conserved molecular landscape between rice Nip and 93-11. Moreover, our analysis suggests specific functions gene expression patterns for each cell type cluster, including the hormone genes. Comparison to Arabidopsis single-cell RNA-sequencing dataset reveals extensive differences between Arabidopsis and rice cell types, and species-specific features emphasize the importance of directly studying rice root. Our study reveals transcriptome landscape of major cell types of rice root in singe-cell resolution and provides molecular insight of the cell type morphology of cell type evolution in plants.
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Project description:Background: The soil environment is responsible for sustaining most terrestrial plant life on earth, yet we know surprisingly little about the important functions carried out by diverse microbial communities in soil. Soil microbes that inhabit the channels of decaying root systems, the detritusphere, are likely to be essential for plant growth and health, as these channels are the preferred locations of new root growth. Understanding the microbial metagenome of the detritusphere and how it responds to agricultural management such as crop rotations and soil tillage will be vital for improving global food production. Methods: The rhizosphere soils of wheat and chickpea growing under + and - decaying root were collected for metagenomics sequencing. A gene catalogue was established by de novo assembling metagenomic sequencing. Genes abundance was compared between bulk soil and rhizosphere soils under different treatments. Conclusions: The study describes the diversity and functional capacity of a high-quality soil microbial metagenome. The results demonstrate the contribution of the microbiome from decaying root in determining the metagenome of developing root systems, which is fundamental to plant growth, since roots preferentially inhabit previous root channels. Modifications in root microbial function through soil management, can ultimately govern plant health, productivity and food security.
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