Javascript must be enabled to continue!
Identification of Drought-Responsive microRNAs from Roots and Leaves of Alfalfa by High-Throughput Sequencing
View through CrossRef
Alfalfa, an important legume forage, is an ideal crop for sustainable agriculture and a potential bioenergy plant. Drought, one of the most common environmental stresses, substantially affects plants’ growth, development and productivity. MicroRNAs (miRNAs) are newly discovered gene expression regulators that have been linked to several plant stress responses. To elucidate the role of miRNAs in drought stress regulation of alfalfa, a high-throughput sequencing approach was used to analyze 12 small RNA libraries comprising of 4 samples, each with 3 biological replicates. We identified 348 known miRNAs, belonging to 80 miRNA families, from the 12 libraries and 281 novel miRNAs using Mireap software. 18 known miRNAs in roots and 12 known miRNAs in leaves were screened out as drought-responsive miRNAs. Except for miR319d and miR157a which were upregulated under drought stress, the expression pattern of drought-responsive miRNAs were different between roots and leaves in alfalfa. This is the first study discovering miR157a, miR1507, miR3512, miR3630, miR5213, miR5294, miR5368 and miR6173 are drought-responsive miRNAs. Target transcripts of drought-responsive miRNAs were computationally predicted. All 447 target genes for the known miRNAs were predicted using an online tool. This study provides a significant insight on understanding drought-responsive mechanisms of alfalfa.
Title: Identification of Drought-Responsive microRNAs from Roots and Leaves of Alfalfa by High-Throughput Sequencing
Description:
Alfalfa, an important legume forage, is an ideal crop for sustainable agriculture and a potential bioenergy plant.
Drought, one of the most common environmental stresses, substantially affects plants’ growth, development and productivity.
MicroRNAs (miRNAs) are newly discovered gene expression regulators that have been linked to several plant stress responses.
To elucidate the role of miRNAs in drought stress regulation of alfalfa, a high-throughput sequencing approach was used to analyze 12 small RNA libraries comprising of 4 samples, each with 3 biological replicates.
We identified 348 known miRNAs, belonging to 80 miRNA families, from the 12 libraries and 281 novel miRNAs using Mireap software.
18 known miRNAs in roots and 12 known miRNAs in leaves were screened out as drought-responsive miRNAs.
Except for miR319d and miR157a which were upregulated under drought stress, the expression pattern of drought-responsive miRNAs were different between roots and leaves in alfalfa.
This is the first study discovering miR157a, miR1507, miR3512, miR3630, miR5213, miR5294, miR5368 and miR6173 are drought-responsive miRNAs.
Target transcripts of drought-responsive miRNAs were computationally predicted.
All 447 target genes for the known miRNAs were predicted using an online tool.
This study provides a significant insight on understanding drought-responsive mechanisms of alfalfa.
Related Results
Identification of Drought-Responsive MicroRNAs from Roots and Leaves of Alfalfa by High-Throughput Sequencing
Identification of Drought-Responsive MicroRNAs from Roots and Leaves of Alfalfa by High-Throughput Sequencing
Alfalfa, an important forage legume, is an ideal crop for sustainable agriculture and a potential crop for bioenergy resources. Drought, one of the most common environmental stress...
Intercropping dynamics in a perennial Kernza cropping system
Intercropping dynamics in a perennial Kernza cropping system
A research agenda has been undertaken to perennialize agrarian landscapes in response to structural issues inherent to annual agricultural production, which compromise the sustaina...
Comparison of Flash Drought and Traditional Drought on Characteristics and Driving Forces in Xinjiang
Comparison of Flash Drought and Traditional Drought on Characteristics and Driving Forces in Xinjiang
In the context of climate warming, flash drought has become increasingly frequent, posing significant threats to agriculture, ecosystems, and the environment. Xinjiang, located in ...
Meteorological Drought Variability over Africa from Multisource Datasets
Meteorological Drought Variability over Africa from Multisource Datasets
This study analyses the spatiotemporal variability of meteorological drought over Africa and its nine climate subregions from an ensemble of 19 multisource datasets (gauge-based, s...
Molecular Mechanisms of Alfalfa (Medicago sativa L.) in Response to Combined Drought and Cold Stresses
Molecular Mechanisms of Alfalfa (Medicago sativa L.) in Response to Combined Drought and Cold Stresses
Selecting alfalfa germplasm with high stress resistance forms the foundation for breeding new varieties of alfalfa (Medicago sativa L.). This study utilized two alfalfa varieties, ...
Uptake of picloram by roots of alfalfa and barley
Uptake of picloram by roots of alfalfa and barley
Uptake of [14C] picloram (4-amino-3,5,6-trichloropicolinic acid) from culture solution by alfalfa (Medicago saliva L.) and barley (Hordeum vulgare L.) seedlings was investigated to...
DEVELOPMENT OF A TECHNOLOGICAL SCHEME AND JUSTIFICATION OF ALFALFA SEED CLEANING PARAMETERS
DEVELOPMENT OF A TECHNOLOGICAL SCHEME AND JUSTIFICATION OF ALFALFA SEED CLEANING PARAMETERS
Despite the high effectiveness of chemical preparations against weeds, this fight begins with the preparation of seed material on seed cleaning lines. An urgent problem in cleaning...
A Statistical Method for Categorical Drought Prediction Based on NLDAS-2
A Statistical Method for Categorical Drought Prediction Based on NLDAS-2
AbstractDrought is a slowly varying natural phenomenon and may have wide impacts on a range of sectors. Tremendous efforts have therefore been devoted to drought monitoring and pre...


