Stimulant Paste Preparation and Bark Streak Tapping Technique for Pine Oleoresin Extraction.

Tapping technique comprises the extraction of pine oleoresin, a non-wood forest product consisting of a complex mixture of mono, sesqui, and diterpenes biosynthesized and exuded as a defense response to wounding. Oleoresin is used to produce gum rosin, turpentine, and their multiple derivatives. Oleoresin yield and quality are objects of interest in pine tree biotechnology, both in terms of environmental and genetic control. Monitoring these parameters in individual trees grown in the field provides a means to examine the control of terpene production in resin canals, as well as the identification of genetic-based differences in resinosis. A typical method of tapping involves the removal of bark and application of a chemical stimulant on the wounded area. Here we describe the methods for preparing the resin-stimulant paste with different adjuvants, as well as the bark streaking process in adult pine trees.

A Modified Protocol for High-Quality RNA Extraction from Oleoresin-Producing Adult Pines.

RNA extraction resulting in good yields and quality is a fundamental step for the analyses of transcriptomes through high-throughput sequencing technologies, microarray, and also northern blots, RT-PCR, and RTqPCR. Even though many specific protocols designed for plants with high content of secondary metabolites have been developed, these are often expensive, time consuming, and not suitable for a wide range of tissues. Here we present a modification of the method previously described using the commercially available Concert™ Plant RNA Reagent (Invitrogen) buffer for field-grown adult pine trees with high oleoresin content.

ASR5 is involved in the regulation of miRNA expression in rice.

KEY MESSAGE: The work describes an ASR knockdown transcriptomic analysis by deep sequencing of rice root seedlings and the transactivation of ASR cis-acting elements in the upstream region of a MIR gene. MicroRNAs are key regulators of gene expression that guide post-transcriptional control of plant development and responses to environmental stresses. ASR (ABA, Stress and Ripening) proteins are plant-specific transcription factors with key roles in different biological processes. In rice, ASR proteins have been suggested to participate in the regulation of stress response genes. This work describes the transcriptomic analysis by deep sequencing two libraries, comparing miRNA abundance from the roots of transgenic ASR5 knockdown rice seedlings with that of the roots of wild-type non-transformed rice seedlings. Members of 59 miRNA families were detected, and 276 mature miRNAs were identified. Our analysis detected 112 miRNAs that were differentially expressed between the two libraries. A predicted inverse correlation between miR167abc and its target gene (LOC_Os07g29820) was confirmed using RT-qPCR. Protoplast transactivation assays showed that ASR5 is able to recognize binding sites upstream of the MIR167a gene and drive its expression in vivo. Together, our data establish a comparative study of miRNAome profiles and is the first study to suggest the involvement of ASR proteins in miRNA gene regulation.

The Wall-associated Kinase gene family in rice genomes.

The environment is a dynamic system in which life forms adapt. Wall-Associated Kinases (WAK) are a subfamily of receptor-like kinases associated with the cell wall. These genes have been suggested as sensors of the extracellular environment and triggers of intracellular signals. They belong to the ePK superfamily with or without a conserved arginine before the catalytic subdomain VIB, which characterizes RD and non-RD WAKs. WAK is a large subfamily in rice. We performed an extensive comparison of WAK genes from A. thaliana (AtWAK), O. sativa japonica and indica subspecies (OsWAK). Phylogenetic studies and WAK domain characterization allowed for the identification of two distinct groups of WAK genes in Arabidopsis and rice. One group corresponds to a cluster containing only OsWAKs that most likely expanded after the monocot-dicot separation, which evolved into a non-RD kinase class. The other group comprises classical RD-kinases with both AtWAK and OsWAK representatives. Clusterization analysis using extracellular and kinase domains demonstrated putative functional redundancy for some genes, but also highlighted genes that could recognize similar extracellular stimuli and activate different cascades. The gene expression pattern of WAKs in response to cold suggests differences in the regulation of the OsWAK genes in the indica and japonica subspecies. Our results also confirm the hypothesis of functional diversification between A. thaliana and O. sativa WAK genes. Furthermore, we propose that plant WAKs constitute two evolutionarily related but independent subfamilies: WAK-RD and WAK-nonRD. Recognition of this structural division will further provide insights to understanding WAK functions and regulations.

MicroRNAs play critical roles during plant development and in response to abiotic stresses.

MicroRNAs (miRNAs) have been identified as key molecules in regulatory networks. The fine-tuning role of miRNAs in addition to the regulatory role of transcription factors has shown that molecular events during development are tightly regulated. In addition, several miRNAs play crucial roles in the response to abiotic stress induced by drought, salinity, low temperatures, and metals such as aluminium. Interestingly, several miRNAs have overlapping roles with regard to development, stress responses, and nutrient homeostasis. Moreover, in response to the same abiotic stresses, different expression patterns for some conserved miRNA families among different plant species revealed different metabolic adjustments. The use of deep sequencing technologies for the characterisation of miRNA frequency and the identification of new miRNAs adds complexity to regulatory networks in plants. In this review, we consider the regulatory role of miRNAs in plant development and abiotic stresses, as well as the impact of deep sequencing technologies on the generation of miRNA data.