Soil meta genome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA554609 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12085200.fastq.gz | Fastqsanger.gz | |||
| SRR12085300.fastq.gz | Fastqsanger.gz | |||
| SRR12085201.fastq.gz | Fastqsanger.gz | |||
| SRR12085301.fastq.gz | Fastqsanger.gz | |||
| SRR12085202.fastq.gz | Fastqsanger.gz |
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Project description:We performed that comprehensive identification of genes responsible for stress tolerance by analyzing the whole-genome expression profiles of poplar (Populus alba M-CM-^W P. glandulosa) leaves exposed to drought and salt stresses. Examination at the molecular level how this tree species responds to drought and salt stresses by regulating the expression of genes involved in signal transduction, transcriptional regulation, and stress responses. Genome-wide analysis was conducted in poplar leaves exposed to drought and salt stresses.The plants were acclimated in soil and grown for 6 weeks in controlled conditions in a growth room (16 h light; light intensity, 150 M-NM-<mol m-2sec-1; 24M-BM-0C). Plants with a height of about 15 cm were separately exposed to either drought or salt stress. Up- and down-regulated genes were identified, and their putative functions are discussed.
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Project description:Episodic drought stress negatively impacts the health of long-lived trees. Understanding the genetic and molecular mechanisms that underpin response to drought stress is requisite for selecting or enhancing climate change resilience. Here we aim to establish standardized drought stress protocols for transcriptome studies in poplar trees, to determine how hybrid poplars respond to prolonged and uniform exposure to drought; to determine if the responses to moderate and more severe growth-limiting drought stresses were qualitatively or quantitatively different; and, to determine how response to drought changes throughout the day. We established hybrid poplar trees (Populus x ’Okanese’) from unrooted stem cutting with abundant soil moisture for six weeks. We then withheld water to establish three soil water contents reflecting well-watered, moderate, and severe growth-limiting drought conditions. Plants were rewatered as needed for three weeks to maintain the soil water conditions. The mild and severe drought treatments elicited distinct changes in growth and development, photosynthetic rates and global transcriptomic changes. Notably, the time of day of sampling was strongest signal in the transcriptome data and it quantitatively and qualitatively affected drought responsive changes in gene expression. These analyses emphasize the complex nature of drought regulation in long-lived trees.
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Project description:In this series of experiments, we wanted to study the transcriptional responses of plants to different levels of water limitation. For mild drought stress, we controlled water potential (a scientific concept for dryness of soil) by using an automated watering system. This system adds water to soil based on the pF values reported by a pF sensor in soil. pF is a classical and widely used index of water potential that was first defined by Schofield (1935). For severe stress conditions, we withheld watering or even dried plants on a lab bench. Here, the transcriptional profiles were compared between well-watered and Sds-treated rice seedling shoots.<br>Sds (Severe dehydration stress in soil containers): We designated Sds as a term that means a severe drought stress causing dehydration of plants in our experiments (The plants were dehydrated at the sampling point). The drought stress was achieved by withholding water from plants grown in soil containers.
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Project description:A cultivation facility that can assist users in controlling the soil water condition is needed for accurately phenotyping plants under drought stress in an artificial environment. Here we report the Internet of Things (IoT)-based pot system controlling optional treatment of soil water condition (iPOTs), an automatic irrigation system that mimics the drought condition in a growth chamber. The Wi-Fi-enabled iPOTs system allows water supply from the bottom of the pot, based on the soil water level set by the user, and automatically controls the soil water level at a desired depth. The iPOTs also allows users to monitor environmental parameters, such as soil temperature, air temperature, humidity, and light intensity, in each pot. To verify whether the iPOTs mimics the drought condition, we conducted a drought stress test on rice varieties and near-isogenic lines, with diverse root system architecture, using the iPOTs system installed in a growth chamber. Similar to the results of a previous drought stress field trial, the growth of shallow-rooted rice accessions was severely affected by drought stress compared with that of deep-rooted accessions. The microclimate data obtained using the iPOTs system increased the accuracy of plant growth evaluation. Transcriptome analysis revealed that pot positions in the growth chamber had little impact on plant growth. Together, these results suggest that the iPOTs system represents a reliable platform for phenotyping plants under drought stress.
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Project description:Populus euphratica is a natural population grown in semirid areas. The molecular response of the poplar to drought maintain to be elucided, especially at global genome level. We used Affymetrix poplar genome genechip microarrays to analyze the full transcript expression underlying different drought intensities and identified significantly differently expressed genes during this process. Uniformly developed seedlings of P. euphratica grown in gradually long-term drought throught water-withholding treatment. Affymetrix poplar genechip was hired to investigate the full transcripts changed of the poplar response to different drought intensity levels.
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