The article should read as follows:
How Animal miRNAs Structure Influences Their Biogenesis
P. S. Vorozheykina, * and I. I. Titova, b
aNovosibirsk State University, Novosibirsk, 630090 Russia
bInstitute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090 Russia
*e-mail: pavel.vorozheykin@gmail.com
Received February 6, 2019; revised March 7, 2019; accepted April 24, 2019
Abstract—MicroRNAs are small non-coding RNAs that are involved in the post-transcriptional regulation of the gene expression in various organisms. This article reviews recent advances in understanding the role of the primary and secondary structures of animal miRNA precursors through the biogenesis stages and the miRNA maturation steps. Also, we describe the effects of genetic variability and heterogeneity of miRNA ends, which play an important role in epitranscriptomics as well as annotation errors in the miRNA databases.
Keywords: miRNA, pre-miRNA, secondary structure, biogenesis, mirtron, single nucleotide polymorphism, mutation, epigenetics
INTRODUCTION
Currently, a large number of small RNAs designed to suppress unwanted genetic material or transcripts have been found in animals. These RNAs are characterized by their short length (20–30 nucleotides) and their association with the Argonaute protein family (AGO and PIWI proteins). Three classes of small RNAs are distinguished—microRNA (miRNA), siRNA (short interfering RNA), and piRNA (piwi-interacting RNA) [1]. The most studied class, miRNA, is characterized by a sequence length of ~22 nucleotides, which are obtained by cleavage of the primary transcript by RNases III Dicer and Drosha [2]. Mature miRNA with one of the AGO protein binds to a target site of mRNA, thus promoting degradation of the mRNA or blocking translation from it [3]. One miRNA can address several different targets, which makes it possible to control the activity of a large number of proteins and biological processes in organism. It is not surprising that the blocking of miRNA genes in animals leads to the appearance of phenotypic changes, as well as to the occurrence of various diseases [4]. Owing to this involvement in many regulatory processes in the cell, miRNAs are rapidly gaining popularity as an object of research (Fig. 1).
In this review, we systematize the influence of the primary and secondary miRNA structures on their functions and biogenesis. We also address the problems of genetic and biochemical variability of miRNAs. The presented data will be useful for understanding the organization, regulation, and epigenetics of miRNAs.
Pri-miRNA TRANSCRIPTION
The maturation process of animal miRNAs begins (Fig. 2) with transcription of a long transcript (primary miRNA, pri-miRNA) by RNA polymerase II (or RNA polymerase III for some miRNAs); this transcript contains one or several hairpins of miRNA precursors (pre-miRNAs), m7G-cap, and poly(A) tail [5, 6]. Poly(A) tail may be absent in cases where processing of pri-miRNA by Microprocessor complex begins earlier than the end of transcription [7].
MicroRNA genes are located in different genomic regions: in introns of noncoding and protein-coding transcripts, exons, or intergenic regions; genes are transcribed independently or as a part of protein-coding host genes [8]. Many miRNA sequences were detected at a short distance from each other (~3–50 kb); some of them form polycistronic transcription units (e.g., miR-100/let-7/miR-125, cluster miR-17/92) [8, 9] and others (e.g. miR-30a/miR-30c-2) do not [10]. Some miRNAs are in both DNA strands and are complementary to each other, for example, miR-3120 and miR-214 [11]. Those miRNAs that are located nearby can be transcribed together. However, they can function post-transcriptionally and be regulated both together and independently through external mechanisms, demonstrating different activities in various tissues and maturation stages of the organism [12, 13]. In addition to external regulation, changes in the one miRNA of the cluster can lead to changes in the expression levels of neighboring miRNAs [14].
Like protein-coding genes, miRNA transcription can be regulated by transcription factors (TF), which enhance or block the pri-miRNA processing [15]. Moreover, when the expression of transcription factors themselves is under the control of miRNAs, regulatory feedback loops are formed [16, 17]. These loops are part of a common gene expression regulation network [18].
In addition to TF, processing of pri-miRNAs may depend on the methylation status of gene promoters, modifications of histones, or modifications of the RNA ends [19–21]. Changes in the mRNA nucleotide sequence, such as A>I editing, mutations, or single-nucleotide polymorphisms (SNPs), affect the processing of pri-/pre-/miRNA through transformation of the precursor structure and target affinity [21, 22].
Pri-miRNA PROCESSING IN THE NUCLEUS
After the transcription in the canonical pathway of biogenesis (Fig. 2), animal pri-miRNAs are cleaved by a Microprocessor complex of RNase III Drosha and RNA-binding protein DGCR8 (Pasha D. melanogaster and C. elegans) [3]. The complex binds to the hairpin structure and cuts out a pre-miRNA with a length of ~65–70 nucleotides (nt) at a distance of ~11 nt from single-stranded RNA tails and at a distance of ~22 nt from a terminal loop [23]. The boundaries between single- and double-stranded RNA fragments are signals for the Drosha processing. Each of the RNase III domains in Drosha (RIIIDa and RIIIDb) cuts one of the two hairpin branches in such a way that pre-miRNA with 3'-overhanging ends is obtained [24]. Each cut defines one of the two terminal nucleotides of future miRNA.
The pri-miRNA transformation to a pre-miRNA can be regulated, firstly, by the interaction of proteins with the components of the Microprocessor complex. For example, the p53 protein in cooperation with other proteins (p68, p72, etc.) regulates excision of mir-16, mir-143, mir-145, and other pre-miRNAs [25, 26]. Secondly, the structure of pri-miRNAs, as well as other RNAs, can act as regulators [22, 27]. The following regulatory elements are present in the pri-miRNAs: the terminal loop, oligonucleotide motifs at the base of the hairpin, in the stem, and in the single-stranded ends of the RNA (Fig. 3). One of the most studied elements is the terminal loop; 14% of human pri-miRNAs contain conserved nucleotides in the terminal loop [28]. By binding to the terminal loop, the hnRNP A1 protein can both facilitate the processing of pri-miRNAs (increasing the size of the inner loop, pri-mir-18a) and block it (pri-let-7) [29, 30]. The KSRP protein binds to the G-rich region in the terminal loop and promotes the excision of pre-let-7, pre-mir-196a, pre-mir-21, and other pre-miRNAs from the transcript [31]. Competition of multidirectional factors KSRP and hnRNP A1 for binding to the terminal loop of pre-let-7 determines the level of the miRNA expression [30]. The TDP-43 protein binds to UG-rich terminal loops (but not to the double-stranded RNAs of pre-mir-143 and pre-mir-574) and helps to locate the Microprocessor complex on a pre-miRNA [32]. The YB-1 protein prefers to bind to the UYAUC motif in the terminal loop of human pri-/ pre-mir-29b-2, blocking connection of the Microprocessor and Dicer to the precursor [33]. Part of the Microprocessor complex, DGCR8, binds to the UGUG motif in the terminal loop and facilitates the positioning of the entire complex on the precursor and its cleavage [34, 35]. Protein binding to the terminal loop of pri-miRNA can be part of the regulatory contours: for example, the LIN28 protein and let-7 miRNA regulate each other, forming a negative feedback loop [36].
In addition to the terminal loop, the pri-miRNAs contain other signals for proteins. The R-SMAD proteins promote Drosha processing via the R-SBE motif (CAGAC) in the double-stranded region of the hairpin [37]. The BRCA1 protein binds to the base of the pre-miRNA hairpin and inhibits maturation of the miR-155 miRNA; on the other hand, this binding speeds up the processing of let-7a-1, miR-16-1, miR-145, and miR-34 [38].
The SF2/ASF splicing factors bind to the stem of pri-miRNA and help to process pri-mir-7; the miR-7 miRNA in turn blocks the expression of these factors [39]. Another splicing factor SRp20 (also known as SRSF3) binds to the CNNC motif (where N is any nucleotide from A, U, G, C). The motif is located at a distance of 16–18 nt from the Drosha cleavage site (Fig. 3) and increases the expression level of pre-miRNA [35]. This motif is also required for the p72 RNA helicase, which connects the Microprocessor to other proteins and thereby facilitates the processing [40]. Two other regulatory motifs are found in pri-miRNAs (Fig. 3): UG (~13–14 nt of the 5′-end of the 5′-miRNA) and GHG (where H is A, C, or U; in the double-stranded region ~11 nt to the Drosha cleavage site) [41, 42].
The pri-miRNA motifs listed above (UG and CNNC, GHG and UGUG) help orient the Microprocessor complex relative to the pri-miRNA so that Drosha cleaves near the base of the pre-miRNA hairpin rather than the terminal loop; also they can compensate for small structural defects of the pre-miRNA (small loops and deviation of the stem from the optimal length) [34, 42]. These motifs are widespread: CNNC/UG in the flanking single-stranded RNAs or UGUG in the terminal loop are found in 79% of human pri-miRNAs [41]. Moreover, in mammals, the presence of not all, but only some, motifs is sufficient [43].
RNA-RNA interactions also regulate the maturation of miRNAs. The mature miRNA mmu-miR-709 binds to the single-stranded region near pri-mir-15a/pri-mir-16-1 pri-miRNAs and suppresses their processing [44]. The let-7 pri-miRNA and its mature miRNA are linked by a positive feedback loop when the let-7 miRNA binds to a conserved complementary site at the 3'-end of the pri-miRNA transcript [45].
The Microprocessor complex can directly degrade mRNA: Drosha blocks the expression of the FSTL1 protein by cutting out the pre-mir-198 hairpin in the 3′-untranslated region (UTR) of the protein-coding mRNA [46]. In the 5'-UTR of DGCR8 (Drosha co-factor) mRNA, there is the precursor hairpin pre-mir-1306, which is part of the feedback regulatory loop between Drosha and DGCR8 [47]. Excess the miR-128-3p miRNA reduces the presence of Drosha and Dicer, thereby inhibiting the processing of all miRNAs and leading to lung cancer [48]. Thus, miR-1306/miR-198/miR-128 can be both functional miRNAs and additional cis-regulatory elements.
In general, the Microprocessor complex creates a rich variety of hairpins, some of which are filtered out at the next stages of miRNA maturation, in particular, according to their unsuitable length when transported from the nucleus to the cytoplasm.
TRANSPORT FROM THE NUCLEUS TO CYTOPLASM
After processing in the nucleus, the obtained pre-miRNA hairpin (Fig. 2) is transferred to the cytoplasm by the Exportin-5 protein (XPO5) and its cofactor Ran-GTP [49]. In some cases, other complexes can be involved, for example, Exportin-1 (XPO1) for mir-320/mir-484 and other pre-miRNAs with m7G cap at the 5'-end formed directly by transcription [50, 51]. These complexes not only move the pre-miRNA hairpin but also prevent it from degradation by cellular exonucleases. The transport complex is specific to the shape of the precursor and captures it like a “baseball mitt” binding to a helix, terminal loop, and overhanging 3'-end [52, 53]. Thus, the transport complex can transfer any small hairpin RNAs (including viral or random), and these hairpins can regulate miRNA expression through competition with pre-miRNAs for the transport complex [54]. With genetic damage to the elements of the transport complex, its structure does not match the structure of the precursor, and it is not able to capture and move the pre-miRNA, which, in turn, leads to the accumulation of pre-miRNAs in the nucleus and a decrease of the miRNA expression level [55]. Also, viral miRNAs can block transport, both competing with real pre-miRNAs and addressing mRNA elements of the transport complex, for example, Ran-GTP [56].
Pre-miRNA PROCESSING BY DICER AND ITS COFACTORS
After moving into the cytoplasm, pre-miRNA binds to the Dicer complex (Fig. 2), which cleaves the precursor hairpin near the terminal loop and produces duplex miRNA–miRNA with overhanging 3'-ends [3]. Thus, at this stage, the second end of the miRNA is formed. Typically, Dicer contains the following domains: helicase, PAZ, α-helix, and two RNases III [57, 58]. Helicase forms a clamp-like structure that is adjacent to RNases, facilitates the recognition of the pre-miRNA terminal loop, and moves and fixes the precursor hairpin [58]. The PAZ domain has two pockets for binding to the pre-miRNA ends [57, 59]. Each of the two RNAses III cuts one of the two pre-miRNA branches and releases the miRNA duplex from the terminal loop. PAZ and RNases III are connected by an α-helix, the length of which determines the distance between these domains and, thus, the size of the produced duplex [57].
Essentially, Dicer can process short hairpins regardless of their nucleotide sequences [60]. Binding pockets in the PAZ domain are spaced at the length of two nucleotides of the overhanging 3′-end, such as that produced by Drosha. However, using only one pocket, Dicer may process hairpins without 3'-overhangs or with an overhanging 5'-end.
The Dicer structure determines the location of the cleavage site. For most pre-miRNAs, this site is located at a fixed distance from the overhanging 3'-end (the so-called “3'-counting rule”) [59]. Dicer can also recognize the phosphate group at the 5'-end of the hairpin and cut the pre-miRNA at a distance of ~22 nt from this end [61]. This so-called “5'-counting rule” is observed mainly when the stem at the hairpin base is not closed by a strong GC pair [61]. The deviations from these two rules are observed due to modifications of pre-miRNAs, such as a change in the length of the ends of pre-miRNAs, which moves the Dicer cleavage site and the miRNA seed. Modifications of the 3'-ends occur more often than the 5'-ends, which makes the “5'-counting rule” more important for pre-miRNAs with a modified 3'-end.
Like Drosha, Dicer processing is regulated in many ways. An important cis-regulatory element of both activation and repression of the Dicer cleavage is the terminal loop of pre-miRNA. For example, the KSRP and TDP-43 proteins control Dicer activity by binding to a terminal loop [31, 32]. The LIN28A and LIN28B proteins, recognizing the GGAG motif in the terminal loop (for example, let-7, miR-107, miR-143, miR-200c, and others), attract the protein from the family of terminal uridyltransferases (for example, TUT4 or TUT7) [62]. Transferase adds an oligonucleotide U-tail to the 3'-end of the pre-miRNA: this blocks Dicer processing and leads to a pre-miRNA degradation, in particular, when the overhanging end had a canonical 2 nt length [63]. A similar method of blocking the miRNA maturation process through uridylation of the 3'-end of the hairpin is also present in Drosophila [64], while Tailor transferase recognizes and uridylates pre-miRNA with guanine on the 3'-end, which may be the reason for avoidance of guanine at this end in observed miRNAs [65]. Conversely, for the single nucleotide end, TUT4 restores its canonical length (for example, let-7 and miR-105), which further contributes to their canonical processing [66].
Another motif within the pre-miRNA terminal loop, UGC, binds to the MBNL1 protein, which helps to cleave the precursor [67]. MBNL1 competes with LIN28 for binding to the terminal loop and thus protects pre-miRNA from elongation of the 3'-end [67]. The GCAUG motif (Fig. 3) in the terminal loop binds to Rbfox proteins and inhibits the maturation of human miRNAs miR-20b, miR-107, and others [68].
In addition to proteins, various RNAs can also affect Dicer processing: C. elegans noncoding RNA rncs-1 can replace endogenous double-stranded RNAs for binding to Dicer [69]. MicroRNAs can bind to Dicer mRNAs and thus regulate their own expression through feedback loop (e.g., let-7 and miR-BART6-5p for human Dicer) [70].
The sequence and structure of pre-miRNAs determine not only the speed but also the quality of the precursor cleavage. The accuracy of Dicer product obeys the so-called “loop-counting rule”: cutting a 3'-branch of a pre-miRNA is more accurate when a loop is located at a distance of two nucleotides upstream the cleavage site [71]. In other cases, Dicer produces variable 5'-ends of 3'-miRNAs [71].
miRISC AND AGO PROCESSING
After the formation of the miRNA–miRNA duplex, it, together with one of the proteins of the Argonaute family (AGO) and co-factors, creates a miRNA-induced silencing complex (miRISC). This complex unwinds the duplex and selects one of its branches, which will subsequently bind to mRNA [72]. In the process of duplex unwinding, one of its strands (“guide”) is more commonly used to form the mature miRISC complex, while the other strand (“passenger”) is cleaved or quickly degrades. The ratio of the “guide” and “passenger” miRNA fractions is determined by thermodynamic stability and terminal nucleotide or may vary depending on the stage of development of the organism, its sex, tissue (in which expression occurs), or the orientation of the duplex when loaded into the complex [60, 73]. Proteins AGO prefer a strand with nucleotides A or U at the 5'-end or that duplex strand in which the terminal pair at this end is less stable [74]. On the other hand, strand exchange can be caused by destabilizing [75] duplex editing, and this editing is more often observed in the miRNA seed (in humans and mice, but not in D. melanogaster) [76]. Also, the strand may change owing to the displacement of pre-miRNA in mRNA, the so-called “hairpin shift” [77].
AGO proteins and their functions vary depending on the species [78]. Some species have a specialization of AGO proteins in the form of small RNAs depending on the characteristics of their duplexes. For example, Drosophila Ago1 prefers to bind to a duplex in which uracil is located at the 5'-end of the “guide” miRNA, while Ago2 prefers a miRNA duplex with cytosine at the same end [79]. In humans, the binding of miRNA to the proteins of the Argonaute family (Ago2 and Ago3) correlates with the presence of YRHB tetranucleotides near miRNA 3'-end, and the binding of miRNA to the protein Ago2 correlates with the presence of RHHK tetranucleotides in the center of the sequence [80]. Loops in positions 9–10 of the “guide” Drosophila miRNA direct the miRNA duplex to Ago1, but do not allow it to be processed by Ago2 [81]. That is, in the absence of loops, the “passenger” miRNA is cleaved, and the “guide” is included in the miRISC complex with Ago2. In the opposite case, if there are loops in the center of the duplex, the “passenger” strand degrades, and the “guide” branch is included in the miRISC complex with the Ago1. However, in humans, the effect of the loops in the middle of the miRNA duplex on the choice of AGO protein is absent [82]. Other strand selection can be fixed evolutionarily with new miRNA functions [77].
NONCANONICAL PATHWAYS OF BIOGENESIS
In addition to the above-described canonical pathway of the biogenesis, miRNAs mature by other, Dicer- and Drosha-independent, pathways (Fig. 2). Most of the noncanonical miRNAs are mirtrons, which skip the Drosha step of mRNA processing, and their pre-miRNAs are formed through splicing, lariat-debranching, and refolding to the canonical hairpin structure [83]. Some of the mirtrons contain additional nucleotides at one or both ends of the hairpin, which distinguish the structure from the canonical one. Subsequently, these nucleotides are removed by exonucleases, and the maturation of miRNA continues along the canonical pathway [83].
Although hundreds of mirtrons have been discovered to date [84, 85], the features of their maturation are less studied than for canonical miRNAs. On average, the hairpin of mirtron pre-miRNA is slightly longer than the canonical precursor [85]. After splicing, most of the mirtron precursors (so-called “tailed mirtrons”) contain a long extensions of nucleotides between the splicing site and the base of the pre-miRNA hairpin [84]. Trimming the tails of these mirtrons by exonucleases can shift the miRNA ends [86]. In many mirtrons without hanging tails and in mirtrons with a hanging 3'-tail (so-called “3'-tailed mirtrons”), the guanine located at the boundary of the intron and exon is additionally removed from the 5'-end [85]. This guanine removal may be an additional mechanism for increasing the accuracy of the pre-miRNA cleavage by RNase III Dicer [87].
The typical structure of mirtron precursors contains feature imprints of their biogenesis and differs from the structure of canonical pre-miRNAs: the overhanging end at the base of the hairpin often consists of one rather than double nucleotides [87]. Compared to canonical miRNAs, mirtrons have a higher density of single nucleotide polymorphisms (SNPs), and the SNPs themself are inversely associated with diseases. Mirtrons are probably under positive (driving) selection, while most of the canonical miRNAs are under negative (stabilizing) one; mirtrons can be an inherent source of variability that contributes to disease. It is interesting that the splicing branchpoint nucleotide is often located exactly in that place so as not to be shielded by the structure of the mirtron precursor [87]. In this way, mirtrons can be easily created from random hairpins of a suitable size near the 3'-splice site. As a result, mirtrons more often appear and disappear faster than the canonical miRNAs, even if they both generate functionally identical regulatory RNAs [88].
The biogenesis of the mammalian miRNAs miR-1225 and miR-1228, originally described as mirtrons, is in fact independent of splicing [89]. But their further biogenesis does not require the canonical components DGCR8, Dicer, Exportin-5, or AGO, but only Drosha [90]. This class of miRNAs is called simtrons (splicing-independent mirtron-like RNAs). Some introns contain simultaneously mirtrons and simtrons and resulting miRNAs—the product of choosing one of the biogenesis pathways [89].
More recently, another splice-dependent class of miRNAs was discovered—agotrons, whose biogenesis includes the integration of miRNA in miRISC and interaction with protein of the Argonaute family, but does not require the Dicer cleavage step [91].
Another Dicer-independent pathway is observed for the miR-451 miRNA family in which the Ago2 protein carry out the catalytic function of the Dicer [92, 93]. Drosha generates the pre-mir-451 precursor with a stem that is too short for Dicer processing, ~18 nucleotides. The Ago2 protein cleaves pre-miRNA stem in the middle of the 3'-branch and produces a ~30-nucleotide RNA product [92, 93]. Then the poly(A)-specific ribonuclease PARN cuts off the 3'-end of this product and releases mature 5'-miRNA, with no difference between the activity level of this miRNA and the initial 30-nucleotide product [94]. Also, in contrast to other pre-miRNAs, the terminal loop does not affect the maturation of miR-451 [94]. Protein Ago2 can replace Dicer not only for short hairpins but also in its absence; and vice versa, the miR-451 precursor with the restored canonical stem length can be processed by Dicer [95]. Thus, the Ago2 and Dicer paths appear to be interchangeable for miR-451.
MUTATIONS, SINGLE-NUCLEOTIDE POLYMORPHISMS, A>I EDITING
Changes in the pri-/pre-/miRNA sequences can affect the secondary structure of the precursor and thus change the expression level and function of miRNA. Nucleotide substitutions are more often observed in the center of miRNA and in the vicinity of its ends in the precursor; the regions responsible for addressing miRNA, the so-called seed (positions 2–8 of miRNA) and additional seed (positions 13–16), are more conservative [96]. These two regions are also characterized by the least presence of loops [87, 96]: a similar relationship between the intensity of mutagenesis and the secondary structure is characteristic of structural RNAs, for example, tRNA [97].
Single nucleotide polymorphism (SNP) is one of the types of substitutions in DNA that affects the maturation process and function of miRNAs. SNPs in human pre-miRNA can inhibit or increase miRNA expression at the cleavage steps of Drosha (for example, miR-30c, miR-125a, miR-146a, miR-510, etc.) or Dicer (e.g., miR-196a, etc.) [22, 98]. Replacing C>T in the first position of the CNNC motif slows down the Drosha processing of pri-mir-16-1 [41]. In addition, SNPs inside miRNA (especially inside the seed region) or inside its target influence on the miRNA function [99]. Substitution in the first nucleotide of human miR-934-5p leads to a change in the cleavage sites of Dicer and Drosha, as well as to a change in the strand of miRNA duplex involved in the miRISC complex [100].
Mutations in the protein-coding genes of the miRNA processing complexes (e.g., Dicer, Drosha, or Exportin-5) may block the functions of these complexes [55, 101].
Another way to regulate miRNA maturation is RNA editing [102]. The ADAR enzyme replaces adenosine (A) by inosine (I), which can both block the Drosha or Dicer cleavage and facilitate it [103]. Modifications of pri-/pre-miRNA sequences (for example, in pri-mir-151 or in the human and mouse miR-376 cluster) lead to a change in the stability of the pri-miRNA structure and miRNA targets thus can block Dicer cleavage step [76, 104, 105]. In addition, such editing of one strand of miRNA duplex can result in the choice of the second strand as functional [76].
Remarkably, although some of the entries in SNP databases are actually RNA editing events [106], A>I editing density behaves oppositely to the density of SNPs and is more often observed in the seed region of human and mouse miRNAs (but not D. melanogaster) [76].
HETEROGENEITY OF miRNA ENDS AND ANNOTATION ERRORS
In the canonical pathway of the biogenesis, Drosha and Dicer often cut the same hairpin of a precursor in several neighboring positions (Fig. 3) and thus produce miRNAs with different ends, so-called isomiRs [107]. The accuracy of the Drosha cleavage is sensitive to pri-miRNA sequence motifs and controlled by DGCR8 [35]. The RIIIDa domain of Dicer cleaves more precisely than the RIIIDb domain, and is more sensitive to both the secondary structure and the nucleotide sequence of its substrate [65, 71]. As a result miRNA 5'-end (the one adjacent to seed region) is more homogeneous, and the heterogeneity of cleavage is appeared mainly in the variability of the lengths of the 3'-overhangs [65, 108]. The structure similarity of Dicer and Drosha [109], as well as the distribution of the overhang lengths of miRNA duplexes [87], suggests that exactly the same is true for Drosha. The lengths of the overhanging ends are interdependent, which served as a basis for the double-lever model of the dynamics of the Dicer cleavage complex [87].
The shift of miRNA ends in the precursor can change targets, thereby expanding the functional repertoire of the miRNA [110, 111]. The overhanging ends can be additionally modified in both directions by adenylation, uridylation, and activity of exonucleases, which leads to extra heterogeneity on the miRNA ends (in most cases, 3') [112–114]. Thus, the miRNA 5'‑end, which is responsible for the target selection, is more uniform. However, for some miRNAs, for example, miR‑79, miR‑193, and miR‑210 for D. melanogaster and miR‑124, miR‑133a, and miR‑223 for M. musculus [77], two or more miRNA fractions (isomiRs) are observed at the levels comparable to the main form. The change of the main form caused by a 5'-end shift (Fig. 4), the so-called seed shifting, leads to a changing the miRNA targets and is sometimes observed in evolution [115]. It is worth noting that only about a third of the annotated miRNAs from the miRBase (release 21.0) are identical to the main form of their isomiRs, while about 37% of the miRNAs (Fig. 4) were never the most observed ones [116].
Unlike canonical miRNAs, the mirtron ends are more variable and serves as an additional factor of the mature product heterogeneity. As a result of splicing, mirtrons can have an extra tails, which are subsequently trimmed by 3'–5' and 5'–3' exonucleases [84]. In most mirtrons, the pre-miRNA hairpin is located near the 3'-splice site and therefore has a long hanging 5'-end whose cutting defines the 5'-end of 5'-miRNA and its targets. For the remaining mirtrons, the 5'-end of their 5'-miRNA is often determined by splicing and subsequent loss of terminal guanine [85]. On the opposite strand of pre-miRNA, the terminal uridyltransferase Tailor recognizes guanine at the 3'-end of the splicing site (3'-AG) and uridylates this end of the precursor, which blocks further miRNA maturation in Drosophila [64]. Thus, although Drosha is absent in the biogenesis of mirtrons, they, as well as the canonical pre-miRNAs [65], avoid guanine at the 5' (3')-end of its 5' (3')-miRNA, respectively. This suggests that guanine at the pre-miRNA ends affects the precursor processing by Dicer.
The level of miRNA expression and the level of RNA degradation in different tissues show that “new” miRNAs (added in the latest miRBase releases) demonstrate increased expression at a high degree of RNA degradation and therefore they may be artifacts [117]. Such false positive sequences, as well as heterogeneity of miRNA ends, lead to the appearance of annotation errors in databases. The identification and verification of miRNAs is complicated by their small size and noncoding origin. The development of deep sequencing methods and bioinformatics algorithms for processing their results has led to a rapid increase in the number of miRNA candidates, including the false ones. The following criteria are used to cut off false positive miRNA sequences: evolutionary conservatism, experimental validation of miRNA duplex with dinucleotide 3'-overhangs, structural sequence similarity, heterogeneity of the miRNA 5'-ends [118]. Only one-third of human miRNAs and about one-sixth of animal miRNAs from the miRBase satisfy these criteria: the MirGeneDB database with conditionally valid miRNAs was formed from them [118]. Almost all noncanonical miRNAs do not satisfy the criteria described above.
False positive miRNAs can be generated by transcriptional noise, other types of small RNAs and tRNAs, and transposons. Another reason for the error is the contamination of data during the experiments, including the presence of miRNAs from another organism (exogenous miRNAs, or xenomiRs), for example, plant miRNAs in mice and humans [119]. So far, xenomiRs have not been observed in reproducible experiments, and the results of those experiments in which they were observed are not freely available, which makes it impossible to independently control their purity [120].
CONCLUSIONS
To date, much has become known about the miRNAs, their biogenesis and functions, but some questions remain open. The integration of miRNAs in various regulatory loops, as well as the influence of pri-/pre-/ miRNA primary and secondary structures on the biogenesis and functions, provides a rich repertoire of methods for controlling cellular processes and, obviously, we know only a small part of them. The miRNA biogenesis diversity, structural pri-/pre-/miRNA changes and their consequences, as well as xenomiRs and isomiRs, require further study. Although each miRNA sequence may be presented in several slightly different forms, the significance of their abundance is still unknown. The inherent biochemical variability of miRNAs increases their functional repertoire and can lead to genetic variability of themselves and their control systems, in particular, editing mechanisms. Owing to miRNA properties, they occupy an important, possibly a central, place in RNA epigenetics, otherwise known as epitranscriptomics.
REFERENCES
Kutter, C. and Svoboda, P., miRNA, siRNA, piRNA: knowns of the unknown, RNA Biol., 2008, vol. 5, no. 4, pp. 181–188. https://doi.org/10.4161/rna.7227
Lee, Y., Jeon, K., Lee, J.-T., et al., MicroRNA maturation: stepwise processing and subcellular localization, EMBO J., 2002, vol. 21, no. 17, pp. 4663–4670.
O’Brien, J., Hayder, H., Zayed, Y., et al., Overview of microRNA biogenesis, mechanisms of actions, and circulation, Front. Endocrinol., 2018, vol. 9, no. 402, pp. 1–12. https://doi.org/10.3389/fendo.2018.00402
Vidigal, J.A. and Ventura, A., The biological functions of miRNAs: lessons from in vivo studies, Trends Cell Biol., 2015, vol. 25, no. 3, pp. 137–147. https://doi.org/10.1016/j.tcb.2014.11.004
Borchert, G.M., Lanier, W., and Davidson, B.L., RNA polymerase III transcribes human microRNAs, Nat. Struct. Mol. Biol., 2006, vol. 13, no. 12, pp. 1097–1101. https://doi.org/10.1038/nsmb1167
Cai, X., Hagedorn, C.H., and Cullen, B.R., Human microRNAs are processed from capped, polyadenylated transcripts that can also function as mRNAs, RNA, 2004, vol. 10, no. 12, pp. 1957–1966. https://doi.org/10.1261/rna.7135204
Ballarino, M., Pagano, F., Girardi, E., et al., Coupled RNA processing and transcription of intergenic primary microRNAs, Mol. Cell. Biol., 2009, vol. 29, no. 20, pp. 5632–5638. https://doi.org/10.1128/MCB.00664-09
Marco, A., Ninova, M., and Griffiths-Jones, S., Multiple products from microRNA transcripts, Biochem. Soc. Trans., 2013, vol. 41, no. 4, pp. 850–854. https://doi.org/10.1042/BST20130035
Titov, I.I. and Vorozheykin, P.S., Analysis of miRNA duplication in the human genome and the role of transposon evolution in this process, Russ. J. Genet: Appl. Res., 2011, vol. 1, no. 4, pp. 308–314. https://doi.org/10.1134/S2079059711040083
Chang, T.-C., Pertea, M., Lee, S., et al., Genome-wide annotation of microRNA primary transcript structures reveals novel regulatory mechanisms, Genome Res., 2015, vol. 25, no. 9, pp. 1401–1409. https://doi.org/10.1101/gr.193607.115
Scott, H., Howarth, J., Lee, Y.B., et al., MiR-3120 is a mirror microRNA that targets heat shock cognate protein 70 and auxilin messenger RNAs and regulates clathrin vesicle uncoating, J. Biol. Chem., 2012, vol. 287, no. 18, pp. 14726–14733. https://doi.org/10.1074/jbc.M111.326041
Abasi, M., Kohram, F., Fallah, P., et al., Differential maturation of miR-17 ~92 cluster members in human cancer cell lines, Appl. Biochem. Biotechnol., 2017, vol. 182, no. 4, pp. 1540–1547. https://doi.org/10.1007/s12010-017-2416-5
Wang, Y., Luo, J., Zhang, H., et al., MicroRNAs in the same clusters evolve to coordinately regulate functionally related genes, Mol. Biol. Evol., 2016, vol. 33, no. 9, pp. 2232–2247. https://doi.org/10.1093/molbev/msw089
Lataniotis, L., Albrecht, A., Kok, F.O., et al., CRISPR/Cas9 editing reveals novel mechanisms of clustered microRNA regulation and function, Sci. Rep., 2017, vol. 7, no. 8585, pp. 1–14. https://doi.org/10.1038/s41598-017-09268-0
Tong, Z., Cui, Q., Wang, J., et al., TransmiR v2.0: an updated transcription factor-microRNA regulation database, Nucleic Acids Res., 2019, vol. 47, no. D1, pp. D253–D258. https://doi.org/10.1093/nar/gky1023
Ben-Ami, O., Pencovich, N., Lotem, J., et al., A regulatory interplay between miR-27a and Runx1 during megakaryopoiesis, Proc. Natl. Acad. Sci. U.S.A., 2009, vol. 106, no. 1, pp. 238–243. https://doi.org/10.1073/pnas.0811466106
Wang, Y., Liang, H., Zhou, G., et al., HIC1 and miR-23~27~24 clusters form a double-negative feedback loop in breast cancer, Cell Death Differ., 2017, vol. 24, no. 3, pp. 421–432. https://doi.org/10.1038/cdd.2016.136
Shalgi, R., Lieber, D., Oren, M., et al., Global and local architecture of the mammalian microRNA–transcription factor regulatory network, PLoS Comput. Biol., 2007, vol. 3, no. 7, pp. 1291–1304. https://doi.org/10.1371/journal.pcbi.0030131
Barros-Silva, D., Costa-Pinheiro, P., Duarte, H., et al., MicroRNA-27a-5p regulation by promoter methylation and MYC signaling in prostate carcinogenesis, Cell Death Dis., 2018, vol. 9, no. 167, pp. 1–15. https://doi.org/10.1038/s41419-017-0241-y
Munoz-Tello, P., Rajappa, L., Coquille, S., et al., Polyuridylation in eukaryotes: a 3'-end modification regulating RNA life, BioMed Res. Int., 2015, vol. 2015, pp. 1–12. https://doi.org/10.1155/2015/968127
Zhao, B.S., Roundtree, I.A., and He, C., Post-transcriptional gene regulation by mRNA modifications, Nat. Rev. Mol. Cell Biol., 2017, vol. 18, no. 1, pp. 31–42. https://doi.org/10.1038/nrm.2016.132
Fernandez, N., Cordiner, R.A., Young, R.S., et al., Genetic variation and RNA structure regulate microRNA biogenesis, Nat. Commun., 2017, vol. 8, no. 15114, pp. 1–12. https://doi.org/10.1038/ncomms15114
Nguyen, T.A., Jo, M.H., Choi, Y.-G., et al., Functional anatomy of the human microprocessor, Cell, 2015, vol. 161, no. 6, pp. 1374–1387. https://doi.org/10.1016/j.cell.2015.05.010
Kwon, S.C., Nguyen, T.A., Choi, Y.-G., et al., Structure of human DROSHA, Cell, 2016, vol. 164, nos. 1–2, pp. 81–90. https://doi.org/10.1016/j.cell.2015.12.019
Suzuki, H.I., Yamagata, K., Sugimoto, K., et al., Modulation of microRNA processing by p53, Nature, 2009, vol. 460, no. 7254, pp. 529–533. https://doi.org/10.1038/nature08199
Connerty, P., Ahadi, A., and Hutvagner, G., RNA binding proteins in the miRNA pathway, Int. J. Mol. Sci., 2015, vol. 17, no. 31, pp. 1–16. https://doi.org/10.3390/ijms17010031
Treiber, T., Treiber, N., Plessmann, U., et al., A compendium of RNA-binding proteins that regulate microRNA biogenesis, Mol. Cell, 2017, vol. 66, no. 2, pp. 270–284. https://doi.org/10.1016/j.molcel.2017.03.014
Michlewski, G., Guil, S., Semple, C.A., et al., Posttranscriptional regulation of miRNAs harboring conserved terminal loops, Mol. Cell, 2008, vol. 32, no. 3, pp. 383–393. https://doi.org/10.1016/j.molcel.2008.10.013
Jean-Philippe, J., Paz, S., and Caputi, M., hnRNP A1: the Swiss army knife of gene expression, Int. J. Mol. Sci., 2013, vol. 14, no. 9, pp. 18999–19024. https://doi.org/10.3390/ijms140918999
Michlewski, G. and Cáceres, J.F. Antagonistic role of hnRNP A1 and KSRP in the regulation of let-7a biogenesis, Nat. Struct. Mol. Biol., 2010, vol. 17, no. 8, pp. 1011–1018. https://doi.org/10.1038/nsmb.1874
Trabucchi, M., Briata, P., Garcia-Mayoral, M., et al., The RNA-binding protein KSRP promotes the biogenesis of a subset of microRNAs, Nature, 2009, vol. 459, no. 7249, pp. 1010–1014. https://doi.org/10.1038/nature08025
Kawahara, Y. and Mieda-Sato, A., TDP-43 promotes microRNA biogenesis as a component of the Drosha and Dicer complexes, Proc. Natl. Acad. Sci. U.S.A., 2012, vol. 109, no. 9, pp. 3347–3352. https://doi.org/10.1073/pnas.1112427109
Wu, S.-L., Fu, X., Huang, J., et al., Genome-wide analysis of YB-1-RNA interactions reveals a novel role of YB-1 in miRNA processing in glioblastoma multiforme, Nucleic Acids Res., 2015, vol. 43, no. 17, pp. 8516–8528. https://doi.org/10.1093/nar/gkv779
Nguyen, T.A., Park, J., Dang, T.L., et al., Microprocessor depends on hemin to recognize the apical loop of primary microRNA, Nucleic Acids Res., 2018, vol. 46, no. 11, pp. 5726–5736. https://doi.org/10.1093/nar/gky248
Kim, K., Nguyen, T.D., Li, S., et al., SRSF3 recruits DROSHA to the basal junction of primary microRNAs, RNA, 2018, vol. 24, no. 7, pp. 892–898. https://doi.org/10.1261/rna.065862.118
Viswanathan, S.R. and Daley, G.Q., Lin28: a microRNA regulator with a macro role, Cell, 2010, vol. 140, no. 4, pp. 445–449. https://doi.org/10.1016/j.cell.2010.02.007
Davis, B.N., Hilyard, A.C., Nguyen, P.H., et al., Smad proteins bind a conserved RNA sequence to promote microRNA maturation by Drosha, Mol. Cell, 2010, vol. 39, no. 3, pp. 373–384. https://doi.org/10.1016/j.molcel.2010.07.011
Kawai, S. and Amano, A., BRCA1 regulates microRNA biogenesis via the DROSHA microprocessor complex, J. Cell Biol., 2012, vol. 197, no. 2, pp. 201–208. https://doi.org/10.1083/jcb.201110008
Wu, H., Sun, S., Tu, K., et al., A splicing-independent function of SF2/ASF in microRNA processing, Mol. Cell, 2010, vol. 38, no. 1, pp. 67–77. https://doi.org/10.1016/j.molcel.2010.02.021
Ha, M. and Kim, V.N., Regulation of microRNA biogenesis, Nat. Rev. Mol. Cell Biol., 2014, vol. 15, no. 8, pp. 509–524. https://doi.org/10.1038/nrm3838
Auyeung, V.C., Ulitsky, I., McGeary, S.E., et al., Beyond secondary structure: primary-sequence determinants license pri-miRNA hairpins for processing, Cell, 2013, vol. 152, no. 4, pp. 844–858. https://doi.org/10.1016/j.cell.2013.01.031
Bartel, D.P., Metazoan microRNAs, Cell, 2018, vol. 173, no. 1, pp. 20–51. https://doi.org/10.1016/j.cell.2018.03.006
Fromm, B., Domanska, D., Hackenberg, M., et al., MirGeneDB2.0: the curated microRNA Gene Database, 2018. https://doi.org/10.1101/258749
Tang, R., Li, L., Zhu, D., et al., Mouse miRNA-709 directly regulates miRNA-15a/16-1 biogenesis at the posttranscriptional level in the nucleus: evidence for a microRNA hierarchy system, Cell Res., 2012, vol. 22, no. 3, pp. 504–515. https://doi.org/10.1038/cr.2011.137
Zisoulis, D.G., Kai, Z.S., Chang, R.K., et al., Autoregulation of microRNA biogenesis by let-7 and Argonaute, Nature, 2012, vol. 486, no. 7404, pp. 541–544. https://doi.org/10.1038/nature11134
Sundaram, G.M., Common, J.E.A., Gopal, F.E., et al., ‘See-saw’ expression of microRNA-198 and FSTL1 from a single transcript in wound healing, Nature, 2013, vol. 495, no. 7439, pp. 103–106. https://doi.org/10.1038/nature11890
Han, J., Pedersen, J.S., Kwon, S.C., et al., Posttranscriptional crossregulation between Drosha and DGCR8, Cell, 2009, vol. 136, no. 1, pp. 75–84. https://doi.org/10.1016/j.cell.2008.10.053
Frixa, T., Sacconi, A., Cioce, M., et al., MicroRNA-128-3p-mediated depletion of Drosha promotes lung cancer cell migration, Carcinogenesis, 2018, vol. 39, no. 2, pp. 293–304. https://doi.org/10.1093/carcin/bgx134
Yi, R., Qin, Y., Macara, I.G., et al., Exportin-5 mediates the nuclear export of pre-microRNAs and short hairpin RNAs, Genes Dev., 2003, vol. 17, no. 24, pp. 3011–3016. https://doi.org/10.1101/gad.1158803
Büssing, I., Yang, J.-S., Lai, E.C., et al., The nuclear export receptor XPO-1 supports primary miRNA processing in C. elegans and Drosophila,EMBO J., 2010, vol. 29, no. 11, pp. 1830–1839. https://doi.org/10.1038/emboj.2010.82
Xie, M., Li, M., Vilborg, A., et al., Mammalian 5'-capped microRNA precursors that generate a single microRNA, Cell, 2013, vol. 155, no. 7, pp. 1568–1580. https://doi.org/10.1016/j.cell.2013.11.027
Zeng, Y., Structural requirements for pre-microRNA binding and nuclear export by Exportin 5, Nucleic Acids Res., 2004, vol. 32, no. 16, pp. 4776–4785. https://doi.org/10.1093/nar/gkh824
Okada, C., Yamashita, E., Lee, S.J., et al., A high-resolution structure of the pre-microRNA nuclear export machinery, Science, 2009, vol. 326, no. 5957, pp. 1275–1279. https://doi.org/10.1126/science.1178705
Bennasser, Y., Chable-Bessia, C., Triboulet, R., et al., Competition for XPO5 binding between Dicer mRNA, pre-miRNA and viral RNA regulates human Dicer levels, Nat. Struct. Mol. Biol., 2011, vol. 18, no. 3, pp. 323–327. https://doi.org/10.1038/nsmb.1987
Melo, S.A., Moutinho, C., Ropero, S., et al., A genetic defect in exportin-5 traps precursor microRNAs in the nucleus of cancer cells, Cancer Cell, 2010, vol. 18, no. 4, pp. 303–315. https://doi.org/10.1016/j.ccr.2010.09.007
Singh, C.P., Singh, J., and Nagaraju, J., A baculovirus-encoded microRNA (miRNA) suppresses its host miRNA biogenesis by regulating the Exportin-5 cofactor Ran, J. Virol., 2012, vol. 86, no. 15, pp. 7867–7879. https://doi.org/10.1128/JVI.00064-12
MacRae, I.J., Zhou, K., Doudna, J.A., Structural determinants of RNA recognition and cleavage by Dicer, Nat. Struct. Mol. Biol., 2007, vol. 14, no. 10, pp. 934–940. https://doi.org/10.1038/nsmb1293
Lau, P.-W., Guiley, K.Z., De, N., et al., The molecular architecture of human Dicer, Nat. Struct. Mol. Biol., 2012, vol. 19, no. 4, pp. 436–440. https://doi.org/10.1038/nsmb.2268
MacRae, I.J., Structural basis for double-stranded RNA processing by Dicer, Science, 2006, vol. 311, no. 5758, pp. 195–198. https://doi.org/10.1126/science.1121638
MacRae, I.J., Li, F., Zhou, K., et al., Structure of Dicer and mechanistic implications for RNAi, Cold Spring Harbor Symp. Quant. Biol., 2006, vol. 71, pp. 73–80. https://doi.org/10.1101/sqb.2006.71.042
Park, J.-E., Heo, I., Tian, Y., et al., Dicer recognizes the 5' end of RNA for efficient and accurate processing, Nature, 2011, vol. 475, no. 7355, pp. 201–205. https://doi.org/10.1038/nature10198
Thornton, J.E., Chang, H.-M., Piskounova, E., et al., Lin28-mediated control of let-7 microRNA expression by alternative TUTases Zcchc11 (TUT4) and Zcchc6 (TUT7), RNA, 2012, vol. 18, no. 10, pp. 1875–1885. https://doi.org/10.1261/rna.034538.112
Newman, M.A., Thomson, J.M., and Hammond, S.M., Lin-28 interaction with the Let-7 precursor loop mediates regulated microRNA processing, RNA, 2008, vol. 14, no. 8, pp. 1539–1549. https://doi.org/10.1261/rna.1155108
Bortolamiol-Becet, D., Hu, F., Jee, D., et al., Selective suppression of the splicing-mediated microRNA pathway by the terminal uridyltransferase Tailor, Mol. Cell, 2015, vol. 59, no. 2, pp. 217–228. https://doi.org/10.1016/j.molcel.2015.05.034
Starega-Roslan, J., Witkos, T., Galka-Marciniak, P., et al., Sequence features of Drosha and Dicer cleavage sites affect the complexity of isomiRs, Int. J. Mol. Sci., 2015, vol. 16, no. 12, pp. 8110–8127. https://doi.org/10.3390/ijms16048110
Heo, I., Ha, M., Lim, J., et al., Mono-uridylation of pre-microRNA as a key step in the biogenesis of group II let-7 microRNAs, Cell, 2012, vol. 151, no. 3, pp. 521–532. https://doi.org/10.1016/j.cell.2012.09.022
Rau, F., Freyermuth, F., Fugier, C., et al., Misregulation of miR-1 processing is associated with heart defects in myotonic dystrophy, Nat. Struct. Mol. Biol., 2011, vol. 18, no. 7, pp. 840–845. https://doi.org/10.1038/nsmb.2067
Chen, Y., Zubovic, L., Yang, F., et al., Rbfox proteins regulate microRNA biogenesis by sequence-specific binding to their precursors and target downstream Dicer, Nucleic Acids Res., 2016, vol. 44, no. 9, pp. 4381–4395. https://doi.org/10.1093/nar/gkw177
Hellwig, S. and Bass, B.L., A starvation-induced noncoding RNA modulates expression of Dicer-regulated genes, Proc. Natl. Acad. Sci. U.S.A., 2008, vol. 105, no. 35, pp. 12897–12902. https://doi.org/10.1073/pnas.0805118105
Iizasa, H., Wulff, B.-E., Alla, N.R., et al., Editing of Epstein—Barr virus-encoded BART6 microRNAs controls their dicer targeting and consequently affects viral latency, J. Biol. Chem., 2010, vol. 285, no. 43, pp. 33358–33370. https://doi.org/10.1074/jbc.M110.138362
Gu, S., Jin, L., Zhang, Y., et al., The loop position of shRNAs and pre-miRNAs is critical for the accuracy of Dicer processing in vivo, Cell, 2012, vol. 151, no. 4, pp. 900–911. https://doi.org/10.1016/j.cell.2012.09.042
Okamura, K. and Nakanishi, K., Argonaute Proteins, New York: Springer-Verlag, 2018. https://doi.org/10.1007/978-1-4939-7339-2
Pinhal, D., Bovolenta, L.A., Moxon, S., et al., Genome-wide microRNA screening in Nile tilapia reveals pervasive isomiRs’ transcription, sex-biased arm switching and increasing complexity of expression throughout development, Sci. Rep., 2018, vol. 8, no. 8248, pp. 1–18. https://doi.org/10.1038/s41598-018-26607-x
Suzuki, H.I., Katsura, A., Yasuda, T., et al., Small-RNA asymmetry is directly driven by mammalian Argonautes, Nat. Struct. Mol. Biol., 2015, vol. 22, no. 7, pp. 512–521. https://doi.org/10.1038/nsmb.3050
Wright, D.J., Rice, J.L., Yanker, D.M., et al., Nearest neighbor parameters for inosine—uridine pairs in RNA duplexes, Biochemistry, 2007, vol. 46, no. 15, pp. 4625–4634. https://doi.org/10.1021/bi0616910
Li, L., Song, Y., Shi, X., et al., The landscape of miRNA editing in animals and its impact on miRNA biogenesis and targeting, Genome Res., 2018, vol. 28, no. 1, pp. 132–143. https://doi.org/10.1101/gr.224386.117
Berezikov, E., Evolution of microRNA diversity and regulation in animals, Nat. Rev. Genet., 2011, vol. 12, no. 12, pp. 846–860. https://doi.org/10.1038/nrg3079
Hutvagner, G. and Simard, M.J., Argonaute proteins: key players in RNA silencing, Nat. Rev. Mol. Cell Biol., 2008, vol. 9, no. 1, pp. 22–32. https://doi.org/10.1038/nrm2321
Ghildiyal, M., Xu, J., Seitz, H., et al., Sorting of Drosophila small silencing RNAs partitions microRNA* strands into the RNA interference pathway, RNA, 2010, vol. 16, no. 1, pp. 43–56. https://doi.org/10.1261/rna.1972910
Ponomarenko, M.P., Suslov, V.V., Ponomarenko, P.M., et al., Abundances of microRNAs in human cells can be estimated as a function of the abundances of YRHB and RHHK tetranucleotides in these microRNAs as an ill-posed inverse problem solution, Front. Genet., 2013, vol. 4, pp. 1–13. https://doi.org/10.3389/fgene.2013.00122
Okamura, K., Liu, N., and Lai, E.C., Distinct mechanisms for microRNA strand selection by Drosophila Argonautes, Mol. Cell, 2009, vol. 36, no. 3, pp. 431–444. https://doi.org/10.1016/j.molcel.2009.09.027
Shin, C., Cleavage of the star strand facilitates assembly of some microRNAs into Ago2-containing silencing complexes in mammals, Cell, 2008, no. 26, pp. 308–313.
Curtis, H.J., Sibley, C.R., and Wood, M.J.A., Mirtrons, an emerging class of atypical miRNA, Wiley Interdiscip. Rev.: RNA, 2012, vol. 3, no. 5, pp. 617–632. https://doi.org/10.1002/wrna.1122
Ladewig, E., Okamura, K., Flynt, A.S., et al., Discovery of hundreds of mirtrons in mouse and human small RNA data, Genome Res., 2012, vol. 22, no. 9, pp. 1634–1645. https://doi.org/10.1101/gr.133553.111
Wen, J., Ladewig, E., Shenker, S., Analysis of nearly one thousand mammalian mirtrons reveals novel features of Dicer substrates, PLoS Comput. Biol., 2015, vol. 11, no. 9, pp. 1–29. https://doi.org/10.1371/journal.pcbi.1004441
Yang, L., Splicing noncoding RNAs from the inside out: splicing noncoding RNAs from the inside out, Wiley Interdiscip. Rev.: RNA, 2015, vol. 6, no. 6, pp. 651–660. https://doi.org/10.1002/wrna.1307
Titov, I.I. and Vorozheykin, P.S., Comparing miRNA structure of mirtrons and non-mirtrons, BMC Genomics, 2018, vol. 19, no. S3, pp. 92–102. https://doi.org/10.1186/s12864-018-4473-8
Berezikov, E., Liu, N., Flynt, A.S., et al., Evolutionary flux of canonical microRNAs and mirtrons in Drosophila,Nat. Genet., 2010, vol. 42, no. 1, pp. 6–9. https://doi.org/10.1038/ng0110-6
Havens, M.A., Reich, A.A., Duelli, D.M., et al., Biogenesis of mammalian microRNAs by a non-canonical processing pathway, Nucleic Acids Res., 2012, vol. 40, no. 10, pp. 4626–4640. https://doi.org/10.1093/nar/gks026
Abdelfattah, A.M., Park, C., and Choi, M.Y., Update on non-canonical microRNAs, Biomol. Concepts, 2014, vol. 5, no. 4, pp. 275–287. https://doi.org/10.1515/bmc-2014-0012
Stagsted, L.V.W., Daugaard, I., and Hansen, T.B., The agotrons: gene regulators or Argonaute protectors?, BioEssays, 2017, vol. 39, no. 4, pp. 1–6. https://doi.org/10.1002/bies.201600239
Cheloufi, S., Dos Santos, C.O., Chong, M.M.W., et al., A dicer-independent miRNA biogenesis pathway that requires Ago catalysis, Nature, 2010, vol. 465, no. 7298, pp. 584–589. https://doi.org/10.1038/nature09092
Cifuentes, D., Xue, H., Taylor, D.W., et al., A novel miRNA processing pathway independent of Dicer requires Argonaute2 catalytic activity, Science, 2010, vol. 328, no. 5986, pp. 1694–1698. https://doi.org/10.1126/science.1190809
Yoda, M., Cifuentes, D., Izumi, N., et al., Poly(A)-specific ribonuclease mediates 3'-end trimming of Argonaute2-cleaved precursor microRNAs, Cell Rep., 2013, vol. 5, no. 3, pp. 715–726. https://doi.org/10.1016/j.celrep.2013.09.029
Yang, J.-S., Maurin, T., and Lai, E.C., Functional parameters of Dicer-independent microRNA biogenesis, RNA, 2012, vol. 18, no. 5, pp. 945–957. https://doi.org/10.1261/rna.032938.112
Wheeler, B.M., Heimberg, A.M., Moy, V.N., et al., The deep evolution of metazoan microRNAs, Evol. Dev., 2009, vol. 11, no. 1, pp. 50–68. https://doi.org/10.1111/j.1525-142X.2008.00302.x
Kolchanov, N.A., Titov, I.I., Vlassova, I.E., et al., Chemical and computer probing of RNA structure, Progr. Nucleic Acid Res. Mol. Biol., 1996, vol. 53, pp. 131–196. https://doi.org/10.1016/S0079-6603(08)60144-0
Slezak-Prochazka, I., Durmus, S., Kroesen, B.J., et al., MicroRNAs, macrocontrol: regulation of miRNA processing, RNA, 2010, vol. 16, no. 6, pp. 1087–1095. https://doi.org/10.1261/rna.1804410
Gong, J., Tong, Y., Zhang, H.-M., et al., Genome-wide identification of SNPs in microRNA genes and the SNP effects on microRNA target binding and biogenesis, Hum. Mutat., 2012, vol. 33, no. 1, pp. 254–263. https://doi.org/10.1002/humu.21641
Sun, G., Yan, J., Noltner, K., et al., SNPs in human miRNA genes affect biogenesis and function, RNA, 2009, vol. 15, no. 9, pp. 1640–1651. https://doi.org/10.1261/rna.1560209
Hill, D.A., Ivanovich, J., Priest, J.R., et al., DICER1 mutations in familial pleuropulmonary blastoma, Science, 2009, vol. 325, no. 5943, pp. 965–965. https://doi.org/10.1126/science.1174334
Nishikura, K., A-to-I editing of coding and non-coding RNAs by ADARs, Nat. Rev. Mol. Cell Biol., 2016, vol. 17, no. 2, pp. 83–96. https://doi.org/10.1038/nrm.2015.4
Tomaselli, S., Bonamassa, B., Alisi, A., et al., ADAR enzyme and miRNA story: a nucleotide that can make the difference, Int. J. Mol. Sci., 2013, vol. 14, no. 11, pp. 22796–22816. https://doi.org/10.3390/ijms141122796
Kawahara, Y., Zinshteyn, B., Sethupathy, P., et al., Redirection of silencing targets by adenosine-to-inosine editing of miRNAs, Science, 2007, vol. 315, no. 5815, pp. 1137–1140. https://doi.org/10.1126/science.1138050
Kawahara, Y., Zinshteyn, B., Chendrimada, T.P., et al., RNA editing of the microRNA-151 precursor blocks cleavage by the Dicer–TRBP complex, EMBO Rep., 2007, vol. 8, no. 8, pp. 763–769. https://doi.org/10.1038/sj.embor.7401011
Zhang, F., Lu, Y., Yan, S., et al., SPRINT: an SNP-free toolkit for identifying RNA editing sites, Bioinformatics, 2017, vol. 33, no. 22, pp. 3538–3548. https://doi.org/10.1093/bioinformatics/btx473
Neilsen, C.T., Goodall, G.J., and Bracken, C.P., IsomiRs—the overlooked repertoire in the dynamic microRNAome, Trends Genet., 2012, vol. 28, no. 11, pp. 544–549. https://doi.org/10.1016/j.tig.2012.07.005
Starega-Roslan, J., Galka-Marciniak, P., and Krzyzosiak, W.J., Nucleotide sequence of miRNA precursor contributes to cleavage site selection by Dicer, Nucleic Acids Res., 2015, vol. 43, no. 22, pp. 10939–10951. https://doi.org/10.1093/nar/gkv968
Li, S. and Patel, D.J., Drosha and Dicer: slicers cut from the same cloth, Cell Res., 2016, vol. 26, no. 5, pp. 511–512. https://doi.org/10.1038/cr.2016.19
Ma, M., Yin, Z., Zhong, H., et al., Analysis of the expression, function, and evolution of miR-27 isoforms and their responses in metabolic processes, Genomics, 2018. https://doi.org/10.1016/j.ygeno.2018.08.004
Yu, F., Pillman, K.A., Neilsen, C.T., et al., Naturally existing isoforms of miR-222 have distinct functions, Nucleic Acids Res., 2017, vol. 45, no. 19, pp. 11371–11385. https://doi.org/10.1093/nar/gkx788
Han, B.W., Hung, J.-H., Weng, Z., et al., The 3'-to-5' exoribonuclease nibbler shapes the 3' ends of microRNAs bound to Drosophila Argonaute1, Curr. Biol., 2011, vol. 21, no. 22, pp. 1878–1887. https://doi.org/10.1016/j.cub.2011.09.034
Liu, N., Abe, M., Sabin, L.R., et al., The exoribonuclease nibbler controls 3' end processing of microRNAs in Drosophila,Curr. Biol., 2011, vol. 21, no. 22, pp. 1888–1893. https://doi.org/10.1016/j.cub.2011.10.006
Norbury, C.J., Cytoplasmic RNA: a case of the tail wagging the dog, Nat. Rev. Mol. Cell Biol., 2013, vol. 14, no. 10, pp. 643–653. https://doi.org/10.1038/nrm3645
Tan, G.C. and Dibb, N., IsomiRs have functional importance, Malays J. Pathol., 2015, vol. 37, no. 2, pp. 73–81.
McCall, M.N., Kim, M.-S., Adil, M., et al., Toward the human cellular microRNAome, Genome Res., 2017, vol. 27, no. 10, pp. 1769–1781. https://doi.org/10.1101/gr.222067.117
Ludwig, N., Becker, M., Schumann, T., et al., Bias in recent miRBase annotations potentially associated with RNA quality issues, Sci. Rep., 2017, vol. 7, no. 5162, pp. 1–11. https://doi.org/10.1038/s41598-017-05070-0
Fromm, B., Billipp, T., Peck, L.E., et al., A uniform system for the annotation of vertebrate microRNA genes and the evolution of the human microRNAome, Annu. Rev. Genet., 2015, vol. 49, no. 1, pp. 213–242. https://doi.org/10.1146/annurev-genet-120213-092023
Hou, D., He, F., Ma, L., et al., The potential atheroprotective role of plant MIR156a as a repressor of monocyte recruitment on inflamed human endothelial cells, J. Nutr. Biochem., 2018, vol. 57, pp. 197–205. https://doi.org/10.1016/j.jnutbio.2018.03.026
Fromm, B., Kang, W., Rovira, C., et al., Plant microRNAs in human sera are likely contaminants, J. Nutr. Biochem., 2018. https://doi.org/10.1016/j.jnutbio.2018.07.019
Funding
This work was supported by the state budget project 0324-2019-0040.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The authors declare that they have no conflict of interest. This article does not contain any studies involving animals or human participants performed by any of the authors.
Rights and permissions
About this article
Cite this article
Vorozheykin, P.S., Titov, I.I. Erratum to: How Animal miRNAs Structure Influences Their Biogenesis. Russ J Genet 56, 1012–1024 (2020). https://doi.org/10.1134/S1022795420220019
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1022795420220019