Differential expression of microRNAs in mouse embryonic bladder

MicroRNAs (miRNAs) are involved in several biological processes including development, differentiation and proliferation. Analysis of miRNA expression patterns in the process of embryogenesis may have substantial value in determining the mechanism of embryonic bladder development as well as for eventual therapeutic intervention. The miRNA expression profiles are distinct among the cellular types and embryonic stages as demonstrated by microarray technology and validated by quantitative real-time RT-PCR approach. Remarkably, the miRNA expression patterns suggested that unique miRNAs from epithelial and submucosal areas are responsible for mesenchymal cellular differentiation, especially regarding bladder smooth muscle cells. Our data show that miRNA expression patterns are unique in particular cell types of mouse bladder at specific developmental stages, reflecting the apparent lineage and differentiation status within the embryonic bladder. The identification of unique miRNAs expression before and after smooth muscle differentiation in site-specific area of the bladder indicates their roles in embryogenesis and may aid in future clinical intervention.     

Structure and functional implications of a complex containing a segment of U6 RNA bound by a domain of Prp24

U6 RNA plays a critical role in pre-mRNA splicing. Assembly of U6 into the spliceosome requires a significant structural rearrangement and base-pairing with U4 RNA. In the yeast Saccharomyces cerevisiae, this process requires the essential splicing factor Prp24. We present the characterization and structure of a complex containing one of Prp24''s four RNA recognition motif (RRM) domains, RRM2, and a fragment of U6 RNA. NMR methods were used to identify the preferred U6 binding sequence of RRM2 (5′-GAGA-3′), measure the affinity of the interaction, and solve the structure of RRM2 bound to the hexaribonucleotide AGAGAU. Interdomain contacts observed between RRM2 and RRM3 in a crystal structure of the free protein are not detectable in solution. A structural model of RRM1 and RRM2 bound to a longer segment of U6 RNA is presented, and a partial mechanism for Prp24''s annealing activity is proposed.     

High-throughput sequence analysis of small RNAs in skotomorphogenic seedlings of Brassica rapa ssp. rapa

Skotomorphogenic development is the process by which seedlings adapt to a stressful dark environment. Such metabolic responses to abiotic stresses in plants are known to be regulated in part by microRNAs (miRNAs); however, little is known about the involvement of miRNAs in the regulation of skotomorphogenesis. To identify miRNAs at the genome-wide level in skotomorphogenic seedlings of turnip (Brassica rapa subsp. rapa), an important worldwide root vegetable, we used Solexa sequencing to sequence a small RNA library from seedlings grown in the dark for 4 days. Deep sequencing showed that the small RNAs (sRNAs) were predominantly 21 to 24 nucleotides long. Specifically, 13,319,035 reads produced 359,531 unique sRNAs including rRNA, tRNA, miRNA, small nuclear RNA (snRNA), small nucleolar RNA (snoRNA), and unannotated sRNAs. Sequence analysis identified 96 conserved miRNAs belonging to 36 miRNA families and 576 novel miRNAs. qRT-PCR confirmed that the miRNAs were expressed during skotomorphogenesis similar to the trends shown by the Solexa sequencing results. A total of 2013 potential targets were predicted, and the targets of BrmiR157, BrmiR159 and BrmiR160 were proved to be regulated by miRNA-guided cleavage. These results show that specific regulatory miRNAs are present in skotomorphogenic seedlings of turnip and may play important roles in growth, development, and response to dark environment.     

The diversity of small non-coding RNAs in the diatom Phaeodactylum tricornutum

Background

Marine diatoms constitute a major component of eukaryotic phytoplankton and stand at the crossroads of several evolutionary lineages. These microalgae possess peculiar genomic features and novel combinations of genes acquired from bacterial, animal and plant ancestors. Furthermore, they display both DNA methylation and gene silencing activities. Yet, the biogenesis and regulatory function of small RNAs (sRNAs) remain ill defined in diatoms.

Results

Here we report the first comprehensive characterization of the sRNA landscape and its correlation with genomic and epigenomic information in Phaeodactylum tricornutum. The majority of sRNAs is 25 to 30 nt-long and maps to repetitive and silenced Transposable Elements marked by DNA methylation. A subset of this population also targets DNA methylated protein-coding genes, suggesting that gene body methylation might be sRNA-driven in diatoms. Remarkably, 25-30 nt sRNAs display a well-defined and unprecedented 180 nt-long periodic distribution at several highly methylated regions that awaits characterization. While canonical miRNAs are not detectable, other 21-25 nt sRNAs of unknown origin are highly expressed. Besides, non-coding RNAs with well-described function, namely tRNAs and U2 snRNA, constitute a major source of 21-25 nt sRNAs and likely play important roles under stressful environmental conditions.

Conclusions

P. tricornutum has evolved diversified sRNA pathways, likely implicated in the regulation of largely still uncharacterized genetic and epigenetic processes. These results uncover an unexpected complexity of diatom sRNA population and previously unappreciated features, providing new insights into the diversification of sRNA-based processes in eukaryotes.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-698) contains supplementary material, which is available to authorized users.     

A multigene framework for polychaete phylogenetic studies

Producing a robust phylogenetic reconstruction for Polychaeta using either morphological or molecular data sets has proven very difficult. There remain many conflicts between morphological analyses and hypotheses based on DNA data, the latter principally derived from 18S rRNA sequences. For the present study a data set covering a broad range of polychaete diversity was assembled, including 38 new sequences from 21 species. Besides available 18S rRNA data, five additional gene segments were examined: the D1 and D9-10 expansion regions of 28S rRNA, histone H3, snU2 RNA and cytochrome c oxidase subunit I. Maximum parsimony, maximum likelihood and Bayesian analyses were conducted.Annelida and Mollusca were reciprocally monophyletic in maximum likelihood analyses, but Polychaeta included a cephalopod in maximum parsimony analyses, and a patellogastropod in Bayesian analyses. When rooted on the Mollusca, optimal topologies from maximum likelihood analyses showed a recognisable basal group of taxa, including Oweniidae, Chaetopteridae and Amphinomidae. The six studied phyllodocidan families plus Orbiniidae (as the sister group of the scale-worms) formed the next most basal group. All analyses support the inclusion of Echiura, Clitellata and Siboglinidae within polychaetes. Bayesian analyses show Echiura as the sister group of Capitellidae, in agreement with previous 18S rRNA results, In contrast, Echiura formed the sister group to Trichobranchidae in maximum likelihood and maximum parsimony analyses.Supra-familial groupings consistently recovered within Polychaeta in the analyses are: (i) Terebellida without Ampharetidae; (ii) Scolecida (excepting Orbiniidae); (iii) Eunicidae, Lumbrineridae and Clitellata; and (iv) “Cirratuliformia” (including Sternaspidae) plus Sabellidae, Serpulidae and Spionidae.     

Human METTL16 is a N6‐methyladenosine (m6A) methyltransferase that targets pre‐mRNAs and various non‐coding RNAs

N⁶‐methyladenosine (m⁶A) is a highly dynamic RNA modification that has recently emerged as a key regulator of gene expression. While many m⁶A modifications are installed by the METTL3–METTL14 complex, others appear to be introduced independently, implying that additional human m⁶A methyltransferases remain to be identified. Using crosslinking and analysis of cDNA (CRAC), we reveal that the putative human m⁶A “writer” protein METTL16 binds to the U6 snRNA and other ncRNAs as well as numerous lncRNAs and pre‐mRNAs. We demonstrate that METTL16 is responsible for N⁶‐methylation of A43 of the U6 snRNA and identify the early U6 biogenesis factors La, LARP7 and the methylphosphate capping enzyme MEPCE as METTL16 interaction partners. Interestingly, A43 lies within an essential ACAGAGA box of U6 that base pairs with 5′ splice sites of pre‐mRNAs during splicing, suggesting that METTL16‐mediated modification of this site plays an important role in splicing regulation. The identification of METTL16 as an active m⁶A methyltransferase in human cells expands our understanding of the mechanisms by which the m⁶A landscape is installed on cellular RNAs.     

Dynamics and metal ion binding in the U6 RNA intramolecular stem-loop as analyzed by NMR

The U6 RNA intramolecular stem-loop (ISL) is a conserved component of the spliceosome, and contains an essential metal ion binding site centered between a protonated adenine, A79, and U80. Correlated with protonation of A79, U80 undergoes a base-flipping conformational change accompanied by significant helical movement. We have investigated the dynamics of the U6 ISL by analyzing the power dependence of 13C NMR relaxation rates in the rotating frame. The data provide evidence that the conformational transition is centered around an exchange lifetime of 84 micros. The U80 nucleotide displays low internal mobility on the picosecond time-scale at pH 7.0 but high internal mobility at pH 6.0, in agreement with the global transition resulting in the base of U80 adopting a looped-out conformation with increased dynamic disorder. A kinetic analysis suggests that the conformational change, rather than adenine protonation, is the rate-limiting step in the pathway of the conformational transition. Two nucleotides, U70 and U80, were found from chemical shift perturbation mapping to interact with the magnesium ion, with apparent K(d) values in the micromolar to millimolar range. These nucleotides also displayed metal ion-induced elevation of R1 rates, which can be explained by a model that assumes dynamic metal ion coordination concomitant with an induced higher shielding anisotropy for the base 13C nuclei. Addition of Mg2+ shifts the conformational equilibrium toward the high-pH (base-stacked) structure, accompanied by a significant drop in the apparent pK(a) of A79.