Identification of drought resistant miRNA in Macleaya cordata by high-throughput sequencing.

Drought is one of the most serious factors affecting crop yields in the world. Macleaya cordata (Willd.) is a draught-tolerant medicinal plant that has been proposed as a pioneer crop to be cultivated in arid areas. However, the exact molecular mechanisms through which M. cordata responds to draught stress remain elusive. In recent years, microRNA (miRNAs) in plants have been associated with stress response. Based on these findings, the current study aimed to shed light on the potential regulatory roles of miRNAs in the draught tolerance of M. cordata by employing high-throughput RNA sequencing and degradation sequencing. Six M. cordata plants were randomly divided into two equal experiment groups, including one draught group and one control group. High-throughput sequencing of the M. cordata samples led to the identification of 895 miRNAs, of which 18 showed significantly different expression levels between the two groups. PsRobot analysis and degradation sequencing predicted the differential miRNAs to target 59 and 36 genes, respectively. Functional analysis showed that 38 of the predicted genes could be implicated in the modulation of stress response. Four miRNAs and eight target genes were selected for quantitative real-time polymerase chain reaction (qRT-PCR) validation. The expression trend of each miRNA analyzed by qRT-PCR was consistent with that determined by sequencing, and was negatively correlated with those of its target genes. The results of our current study supported the involvement of miRNAs in the draught tolerance of M. cordata and could pave the way for further investigation into the related regulatory mechanisms.

Photoaffinity Labeling of Pentameric Ligand-Gated Ion Channels: A Proteomic Approach to Identify Allosteric Modulator Binding Sites.

Photoaffinity labeling techniques have been used for decades to identify drug binding sites and to study the structural biology of allosteric transitions in transmembrane proteins including pentameric ligand-gated ion channels (pLGIC). In a typical photoaffinity labeling experiment, to identify drug binding sites, UV light is used to introduce a covalent bond between a photoreactive ligand (which upon irradiation at the appropriate wavelength converts to a reactive intermediate) and amino acid residues that lie within its binding site. Then protein chemistry and peptide microsequencing techniques are used to identify these amino acids within the protein primary sequence. These amino acid residues are located within homology models of the receptor to identify the binding site of the photoreactive probe. Molecular modeling techniques are then used to model the binding of the photoreactive probe within the binding site using docking protocols. Photoaffinity labeling directly identifies amino acids that contribute to drug binding sites regardless of their location within the protein structure and distinguishes them from amino acids that are only involved in the transduction of the conformational changes mediated by the drug, but may not be part of its binding site (such as those identified by mutational studies). Major limitations of photoaffinity labeling include the availability of photoreactive ligands that faithfully mimic the properties of the parent molecule and protein preparations that supply large enough quantities suitable for photoaffinity labeling experiments. When the ligand of interest is not intrinsically photoreactive, chemical modifications to add a photoreactive group to the parent drug, and pharmacological evaluation of these chemical modifications become necessary. With few exceptions, expression and affinity-purification of proteins are required prior to photolabeling. Methods to isolate milligram quantities of highly enriched pLGIC suitable for photoaffinity labeling experiments have been developed. In this chapter, we discuss practical aspects of experimental strategies to identify allosteric modulator binding sites in pLGIC using photoaffinity labeling.