Nuclear and cytoplasmic lncRNAs in root tips of the model legume Medicago truncatula under control and submergence.

In this study, we aimed to identify long noncoding RNAs (lncRNAs) in root tips of the model legume Medicago truncatula using previously generated nuclear, total polyA, ribosome-associated polyA, and Riboseq RNA datasets, which might shed light on their localization and potential regulatory roles. RNA-seq data were mapped to the version 5 of the M. truncatula A17 genome and analyzed to identify genome annotated lncRNAs and putative new root tip (NRT) lncRNAs. lncRNAs were classified according to their genomic location relative to chromatin accessible regions, protein-coding genes and transposable elements (TE), finding differences between annotated lncRNAs and NRT lncRNAs, both in their genomic position as well as in the type of TEs in their vicinity. We investigated their response to submergence and found a set of regulated lncRNAs that were preferentially upregulated in the nucleus, some of which were located nearby genes of the conserved submergence upregulated gene families, and chromatin accessible regions suggesting a potential regulatory role. Finally, the accumulation of lncRNAs under submergence was validated by reverse transcription quantitative polymerase chain reaction on nuclear RNA, providing additional evidence of their localization, which could ultimately be required for their function.

Gene regulatory networks shape developmental plasticity of root cell types under water extremes in rice.

Understanding how roots modulate development under varied irrigation or rainfall is crucial for development of climate-resilient crops. We established a toolbox of tagged rice lines to profile translating mRNAs and chromatin accessibility within specific cell populations. We used these to study roots in a range of environments: plates in the lab, controlled greenhouse stress and recovery conditions, and outdoors in a paddy. Integration of chromatin and mRNA data resolves regulatory networks of the following: cycle genes in proliferating cells that attenuate DNA synthesis under submergence; genes involved in auxin signaling, the circadian clock, and small RNA regulation in ground tissue; and suberin biosynthesis, iron transporters, and nitrogen assimilation in endodermal/exodermal cells modulated with water availability. By applying a systems approach, we identify known and candidate driver transcription factors of water-deficit responses and xylem development plasticity. Collectively, this resource will facilitate genetic improvements in root systems for optimal climate resilience.

TRAP-SEQ of Eukaryotic Translatomes Applied to the Detection of Polysome-Associated Long Noncoding RNAs.

Translating ribosome affinity purification (TRAP) technology allows the isolation of polysomal complexes and the RNAs associated with at least one 80S ribosome. TRAP consists of the stabilization and affinity purification of polysomes containing a tagged version of a ribosomal protein. Quantitative assessment of the TRAP RNA is achieved by direct sequencing (TRAP-SEQ), which provides accurate quantitation of ribosome-associated RNAs, including long noncoding RNAs (lncRNAs). Here we present an updated procedure for TRAP-SEQ, as well as a primary analysis guide for identification of ribosome-associated lncRNAs. This methodology enables the study of dynamic association of lncRNAs by assessing rapid changes in their transcript levels in polysomes at organ or cell-type level, during development, or in response to endogenous or exogenous stimuli.

Translating Ribosome Affinity Purification (TRAP) followed by RNA sequencing technology (TRAP-SEQ) for quantitative assessment of plant translatomes.

Translating Ribosome Affinity Purification (TRAP) is a technology to isolate the population of mRNAs associated with at least one 80S ribosome, referred as the translatome. TRAP is based on the expression of an epitope-tagged version of a ribosomal protein and the affinity purification of ribosomes and associated mRNAs using antibodies conjugated to agarose beads. Quantitative assessment of the translatome is achieved by direct RNA sequencing (RNA-SEQ), which provides accurate quantitation of ribosome-associated mRNAs and reveals alternatively spliced isoforms. Here we present a detailed procedure for TRAP, as well as a guide for preparation of RNA-SEQ libraries (TRAP-SEQ) and a primary data analysis. This methodology enables the study of translational dynamic by assessing rapid changes in translatomes, at organ or cell-type level, during development or in response to endogenous or exogenous stimuli.