Skip to main content

When animal viruses meet N6-methyladenosine (m6A) modifications: for better or worse?

Abstract

N6-methyladenosine (m6A) is a prevalent and dynamic RNA modification, critical in regulating gene expression. Recent research has shed light on its significance in the life cycle of viruses, especially animal viruses. Depending on the context, these modifications can either enhance or inhibit the replication of viruses. However, research on m6A modifications in animal virus genomes and the impact of viral infection on the host cell m6A landscape has been hindered due to the difficulty of detecting m6A sites at a single-nucleotide level. This article summarises the methods for detecting m6A in RNA. It then discusses the progress of research into m6A modification within animal viruses’ infections, such as influenza A virus, porcine epidemic diarrhoea virus, porcine reproductive, and respiratory syndrome virus. Finally, the review explores how m6A modification affects the following three aspects of the replication of animal RNA viruses: the regulation of viral genomic RNA function, the alteration of the m6A landscape in cells after viral infection, and the modulation of antiviral immunity through m6A modification. Research on m6A modifications in viral RNA sheds light on virus-host interactions at a molecular level. Understanding the impact of m6A on viral replication can help identify new targets for antiviral drug development and may uncover novel regulatory pathways that could potentially enhance antiviral immune responses.

1 Introduction

RNA modifications play a crucial role in regulating gene expression post-transcription. Among the 170-plus known RNA modifications, N6-methyladenosine (m6A), 5-methylcytidine (m5C), N1-methyladenosine (m1A), N1-methyladenosine (m1A), N4-acetylcytidine (ac4C), 2′-O-methylated nucleotide (Nm), internal N7-methylguanosine (m7G), pseudouridine (Ψ) and A-to-I (inosine) editing have all been reported to participate in virus replication. The reversible nature of RNA modifications allows for precise control of gene expression in response to virus infection, making them essential for anti-viral responses in mammalian cells. Understanding RNA modifications is thus essential for deciphering the complexities of virus infection and the molecular basis of viral-induced diseases. Continued research in this area offers potential to uncover new mechanisms of RNA-based regulation and explore potential therapeutic strategies.

Recent research emphasises the role of m6A modifications in viral infections and how they can either promote or inhibit viral replication. N6-methyladenine (m6A) in mammalian mRNAs was initially discovered in the 1970s [1]. Despite technical limitations, recent advancements in RNA biology have propelled the investigation of RNA m6A modification, establishing it as a leading and highly sought-after research area [2, 3]. m6A modification is a reversible process orchestrated by a complex interplay of methyltransferases (writers), demethylases (erasers), and proteins that recognise methylated RNA (readers) [4]. Methyltransferases such as METTL3, METTL14, WTAP, METTL16, KIAA1429, RBM15, and ZC3H13 form complexes that carry out the methylation of m6A [5]. In contrast, demethylases such as FTO and ALKBH5 remove methyl groups from m6A-modified bases [6, 7]. m6A readers such as YTHDF1, YTHDF2, and YTHDF3 can identify m6A-modified sites and activate the subsequent regulatory processes, including RNA degradation, mRNA translation, and miRNA processing [8, 9]. Indeed, extensive evidence has demonstrated that m6A modifications play intricate regulatory roles in nearly all aspects of RNA metabolism [4, 10].

Currently, the techniques used to detect m6A can be categorised into two groups: those dependent on anti-m6A antibodies and those independent of them. For example, high-throughput sequencing techniques combined with liquid chromatography-mass spectrometry (LC–MS) [11], such as meRIP-seq [12] and miCLIP-seq [13,14,15], enable the detection of m6A modifications with high-resolution using anti-m6A antibody-dependent methods. Whereas LC–MS/MS methods quantify the total amount of m6A in RNAs, similar to colorimetric methods [16]. Notably, based on the biochemical properties of m6A, several antibody-free methods have been developed to detect m6A at the single-base level. These methods include the high-resolution melting curve method [17] and the SELECT method [18], which both greatly enhance the efficiency and accuracy of m6A identification.

m6A modifications play a crucial role in regulating mRNA metabolism through various mechanisms. Firstly, m6A markedly influences the stability of mRNA [19]. Typically, m6A-marked mRNAs have shorter half-lives, but the specific effects also depend on the context and the presence of other RNA-binding proteins [20]. Secondly, the translation efficiency of m6A-modified mRNA can be enhanced via the binding of m6A reader proteins (e.g. YTHDF1). Additionally, some other m6A readers may inhibit the translation efficiency of m6A-modified mRNAs [21, 22]. Furthermore, m6A regulates pre-mRNA splicing, creating various mRNA isoforms from the same gene loci. m6A modification regulates the exporting of mRNA from the nucleus to the cytoplasm, ensuring that mRNA reaches the ribosomes for translation [23, 24]. On the other hand, m6A-modified mRNAs can be targeted for degradation through m6A-binding proteins such as YTHDF2. These proteins facilitate the mRNAs to cytoplasmic RNA decay sites [25]. Together, these regulatory roles enable m6A modifications to finely tune gene expression in response to various cellular signals and environmental conditions.

m6A modification plays a significant role in the viral life cycle. It may directly impact the replication and transcription of viral genes. It can also influence the host cell’s anti-viral immune responses by regulating the mRNA metabolism of various antiviral factors [26,27,28]. As a result, an increasing number of studies have emphasised the specific roles of m6A in virus infection [29,30,31,32]. Intriguingly, some are specifically dedicated to studying animal viruses [33]. We will systematically summarise the specific impacts of m6A modifications on the life cycle of animal viruses, especially RNA viruses (Figure 1). The diverse effects of m6A modification on virus replication underscore the intricate and significant role of m6A modification in regulating virus-host interactions. This offers a valuable framework for future investigations into the epigenetic regulation of animal virus replication.

Figure 1
figure 1

A brief summary of m6A modifications in animal viruses. Based on recent publications, it has been discovered that at least nine types of animal viruses, which infect porcine, avian, fish, goat and even bombyx, contain m6A modifications in their genomes. Some of these viruses, such as PRRSV and PEDV, are veterinary pathogens that cause significant economic losses worldwide. Therefore, it is crucial to understand the impact of m6A on viral replication in order to advance research in animal virology.

2 Identification of m6A modification in RNA

Adenosine methylation does not change its base-pairing with thymidine or uracil. As a result, m6A cannot be easily detected using standard hybridisation or sequencing-based methods. The chemical properties of m6A make it resistant to many reagents, which complicates the identification of m6A sites at single-nucleotide level. Previously, m6A modification sites were primarily identified through RNA–protein interaction combined with high-throughput sequencing [34]. Optically based UV crosslinking co-detection and highly antibody-dependent m6A modification site identification methods include meRIP-m6A-seq [12], PA-m6A-seq [35], miCLIP-m6A-seq [36], and so on. Recently, various antibody-independent m6A detection methods have been established, including high-resolution melting (HRM) detection [17], m6A-REF-seq [37], MAZTER-seq [38], and the BstI DNA polymerase-dependent method [39]. Additionally, electrochemical methods utilising nanopore sequencing technology [40, 41] have also been developed. Table 1 lists the main advantages and disadvantages of m6A modification detection methods.

Table 1 Summary of m6A detection methods

2.1 Methyl-RNA immunoprecipitation and sequencing (MeRIP-Seq)

Methyl-RNA immunoprecipitation and sequencing (MeRIP-Seq, also called m6A-Seq) relies on an antibody that specifically recognises and binds to the m6A site on RNA, enriching the RNA [12]. The RNA transcripts containing m6A modification bound to the antibody are then identified by high-throughput sequencing, providing the specific location range of m6A modification in RNA. This method is relatively simple and has a wide range of applications. Additionally, different types of RNA modifications, such as N4-acetylcytosine (ac4c) [42], can also be detected using different antibodies. However, the results are pretty complex, and the resolution of the detected sequence is relatively low. The RNA fragments obtained through immunoprecipitation may contain m6A at various locations [34]. Since the transcripts are fragmented before immunoprecipitation, the m6A-seq analysis cannot determine methylation patterns at the single-nucleotide level but instead provides a gene-specific methylation profile [43]. Currently, the MeRIP-seq is the most popular method for mapping m6A modification sites in virus-infected cells [44, 45].

2.2 Photo-crosslinked assisted m6A sequencing (PA-m6A-Seq)

PA-m6A-seq refers to photo-crosslinked assisted m6A sequencing. This method is derived from a widely used protein-RNA interaction assay named photoactivatable ribonucleoside-enhanced crosslinking and immunoprecipitation (PAR-CLIP). It specifically investigates interactions between the m6A antibody and RNA [46]. Before RNA extraction, cells of interest are first pulsed with the photoactivatable nucleoside analogue 4-Thiouridine (4SU), which is then incorporated into the transcribed RNA. The extracted 4SU+ RNA is then bound to the m6A-specific antibody and exposed to UV crosslinking at a wavelength of 365 nm. This efficiently crosslinks 4SU+ residues to RNA-bound proteins. The process involves collecting crosslinked antibody-RNA complexes through immunoprecipitation and releasing RNA fragments using proteinase K digestion. This causes amino acid residuals to bind to the previously crosslinked 4SU. This leads to misincorporation in the reverse transcription step in preparation for RNA-seq, resulting in a T > C mutation at the cross-linked site [35]. This method has a high resolution of 32 nts. Additionally, after ribonuclease treatment, the RNA that is not bound to and protected by antibodies is digested, reducing the background for RNA-seq. However, this method is relatively more gradual and complex due to the multiple procedures [47]. It has been used to detect various RNA modification sites in viral ribonucleic acid transcripts in viruses [48,49,50,51].

2.3 m6A individual-nucleotide-resolution crosslinking and immunoprecipitation (miCLIP)

meRIP-m6A-seq and PA-m6A-seq methods only determine the existence of m6A modification in a segment of RNA, while the miCLIP method determines the presence of m6A modification sites at the single base level. The use of ultraviolet light to cross-link antibodies with RNA depends on the interaction between RNA and m6A-specific antibodies [36]. Reverse transcription of crosslinked RNA then produces a highly specific pattern of mutations or truncations in the cDNA. These mutation patterns are then identified using computational methods to pinpoint the exact positions of m6A residues [13]. However, the complexity of this method and the low efficiency of UV crosslinking may lead to some m6A residues being missed during the identification process.

2.4 High-resolution melting (HRM) analysis

A high-resolution melting (HRM) analysis method has been proposed based on the thermal stability of m6A residues in RNA. This method is simple and easy but requires knowing the accurate sequence before identification. The process involves hybridising the RNA with two fluorescent probes and obtaining high-resolution melting curves by monitoring fluorescence. An unmodified control with the same sequence as the samples to be measured is required for comparisons. A lower melting temperature, compared to the unmodified control, indicates the presence of m6A at the specific site [17]. While this method has only been used to detect m6A sites in rRNA and snoRNA of eukaryotes, it may have advantages in analysing m6A modification in viral genome and viral-infected cells.

2.5 m6A-sensitive RNA-endoribonuclease-facilitated sequencing (m6A-REF-seq)

m6A-REF-seq is a precise and high-throughput antibody-independent m6A identification method known as the m6A-sensitive RNA endoribonuclease-facilitated sequencing method. It is based on the m6A-sensitive RNA endoribonuclease, which recognises and cleaves ACA but not the m6ACA motif. This method enables the identification of transcriptomic m6A sites and the quantification of methylation levels at single-base resolution [37]. For instance, MazF and ChpBK, both part of the bacterial toxin-antitoxin system, were able to differentiate m6A from unmethylated A. MazF recognised and cleaved the motif sequence ACA at the first A, leaving the methylated m6ACA motif. Similarly, the cleavage activity of ChpBK was also inhibited by m6A at the recognition motif UAC. MazF or ChpBK first digests the measured RNA. If there is no m6A modification, the reverse transcription reaction will stop at the A position of the ACA sequence due to the digestion by MazF of ChpBK. However, if there is an m6A modification, the reverse transcription reaction will not stop, and the full-length gene will be amplified and sequenced in the following procedure. It is important to note that this method is only suitable for identifying m6A modification sites in ACA motifs. It has been used to track m6A dynamics in yeast and mammalian systems, as well as to investigate m6A function [38].

2.6 Bst I DNA polymerase-dependent m6A detection

Some studies have found that BstI DNA polymerase has reverse transcriptase activity that is even higher than that of AMV reverse transcriptase in some cases. However, the cDNA length is limited to less than 200 nts. It was discovered that the reverse transcriptional activity of BstI DNA polymerase was affected by m6A modification. When m6A is present in the RNA template, it hinders cDNA synthesis during BstI-catalysed reverse transcription. When there is m6A modification in the RNA template, the twist angle will be significantly changed, resulting in the loss of the conformational flexibility necessary for BstI progression. As a result, a combination of BstI-catalysed reverse transcription and primer extension or RT-PCR/qPCR can be used to identify m6A modifications in RNA [39, 52, 53]. Furthermore, BstI has a working temperature of up to 65 °C, demonstrating higher thermal stability. Therefore, using BstI in reverse transcription can minimise the influence of RNA secondary structures, making the method more effective for detecting RNA with complex secondary structures, such as viral RNA genomes.

2.7 Other electrochemical methods

The nano-m6A detection pipeline uses nanopore-direct RNA sequencing and an extreme gradient boosting model to identify and quantify m6A modifications at a single-base resolution accurately. This approach allows for the precise detection and visualisation of m6A sites within individual transcripts by leveraging the raw signal surrounding these sites [54]. Oxford Nanopore Technologies (ONT) long-read sequencing is particularly efficient in identifying m6A sites [55]. When a single-stranded RNA passes through a membrane in a nanopore with a voltage, the nucleotides present in the pore will affect the pore’s electrical resistance, yielding many possible states: 45 = 1024 for a standard four-base model. If modified bases are present in the RNA sample, such as 5-methylcytosine, the number of possible states can increase further: 55 = 3125 [56]. This electrical signal is the raw data gathered by an ONT sequencer. The benefits of ONT technology include the direct sequencing of natural RNA (direct RNA sequencing, or DRS). This method can accurately represent the state of RNA after transcription and preserve information about RNA modifications [56]. DRS allows for detecting long transcripts that may not be identified by short reading length technology, and it can pinpoint the original 3’terminal sites of natural RNA [57, 58]. Additionally, the Nanpolish [59] and DeepSignal [60] methods can identify various types of precise modification sites at the single-molecule level, such as 5-methylcytosine (m5C) [61], N7-methylguanosine (m7G) and A-to-I editing [62]. Despite its advantages, there are limitations to using DRS technology to detect m6A modifications. DRS may struggle to detect m6A modifications in low abundance [62] accurately. The resolution of DRS might not be sufficient to confidently distinguish between modified and unmodified nucleotides, leading to false negatives or imprecise quantification [63]. Additionally, the sequencing process can be influenced by the secondary and tertiary structures of RNA molecules, potentially masking or mimicking the effects of RNA modifications and resulting in inaccurate detection or high error rates [64]. Moreover, the DRS method requires a large amount of starting material, which makes it relatively low throughput and expensive compared to other sequencing technologies [65]. This limits its usefulness for large-scale studies, particularly when screening for multiple RNA modifications across a large number of samples. While the ONT method has been used to detect m6A sites in HIV mRNA [66], its applications in detecting m6A sites in animal viruses are still unclear.

3 The diverse roles of m6A in regulating viral replication

Due to the extensive impacts of m6A modifications on mRNA metabolism, when viruses invade host cells, m6A modifications in the viral genomic RNA can regulate viral replication in various ways. This can either facilitate or inhibit virus infection. Typically, when m6A modifications enhance the translation of viral RNA, they promote viral replication. Conversely, if m6A modifications lead to the degradation of viral RNA, then m6A would have a negative regulatory effect on viral infection. Additionally, viral infection may alter the m6A landscapes of host cell transcripts, ultimately regulating the anti-viral or pro-viral responses within the host cells.

3.1 The positive roles of m6A modifications in virus infection

m6A modifications have been reported to play positive roles in replicating several animal viruses, including influenza A virus (IAV), peste des petits ruminant virus (PPRV), and PEDV.

IAV is an RNA virus that can infect many hosts, including humans, avians, and livestock. A study found that overexpression of YTHDF1 and YTHDF2 in IAV-infected cells led to a significant increase in viral encoding genes such as NS1, NP, and M2. This led to an increase in viral titre from 5.5 × 106 PFU/mL to 5.3 × 107 PFU/mL compared to wild-type cells. Conversely, the suppression of YTHDC1, YTHDF2, or METTL3 in IAV-infected cells led to a decrease in viral titre from 104 TCID50/mL to 103 TCID50/mL at 24 h post-infection (hpi). This suggests that m6A modification in the IAV genome positively regulates virus replication by enhancing the translation of viral genes.

PPRV frequently infects goats (Capra hircus) and sheep (Ovis aries), leading to acute pneumonia or severe diarrhoea. Vero cells were pre-treated with m6A inhibitors (3-DAA) and then infected with PPRV. Compared with the untreated group, the expression of PPRV nucleocapsid protein decreased from 106 TCID50/mL to 103 TCID50/mL. This indicates that the m6A inhibitors suppressed PPRV replication in Vero cells. Additionally, reducing METTL3 led to a significant decrease in PPRV N protein mRNA levels after 72 hpi compared to naïve cells. The virus titre also dropped from 106 TCID50/mL to 104 TCID50/mL. Meanwhile, deleting FTO increased the mRNA levels of PPRV N protein [67]. In conclusion, the replication of PPRV in Vero cells is influenced by m6A methyltransferase (METTL3) and demethylase (FTO), indicating a positive role of m6A modification in regulating PPRV replication.

Studies have identified m6A modifications in the genomic RNA of PEDV by using meRIP-seq. High levels of m6A modifications were found in the non-structural protein genes, such as Nsp9-13 and Nsp16, as well as the 3’ untranslated region. However, the specific m6A sites within the PEDV genome remain unclear [68]. A recent study found that hnRNP (a type of m6A reader) downregulated the expression of TRAF3 through the METTL3-METTL14-YTHDF2 axis. This, in turn, suppressed the expression of IFN-β and the downstream antiviral genes in cells infected with PEDV. In a further study, it was observed that hnRNP was overexpressed during PEDV (MOI = 0.5) infection. After 24 h post-infection, cells and supernatant were collected to analyse the expression of PEDV N protein and virus titre. The virus titre increased from 103 TCID50/mL to 105 TCID50/mL compared to mock cells. Similarly, following the transfection of cells with anti-hnRNPU siRNA (but not normal control (NC) siRNA), the virus titre decreased from 104 TCID50/mL to 103 TCID50/mL at 24 h post-PEDV infection. The overexpression of m6A reader has thus been found to promote PEDV replication. Another study showed that overexpression of m6A eraser ALKBH5 restricted PEDV infection [69]. Additionally, transfection with siMETTL3 or siYTHDF2 reduced the mRNA levels of PEDV N protein from 1.0 to 0.5 and 0.3, while siMETTL14 had no significant effect on the expression of PEDV N protein. Both YTHDF2 and METTL3 were found to promote PEDV replication [70]. In summary, m6A modification in the PEDV genome may promote viral replication.

3.2 The negative roles of m6A modifications in virus infection

Understanding the molecular mechanisms underlying antiviral responses in fish is crucial for aquaculture health management. LjMETTL3 is a METTL3 homolog gene that was cloned from a sea perch. Notably, LjMETTL3 was more abundant in the immune tissues of sea perch post-red spotted grouper nervous necrosis virus (RGNNV) or viral haemorrhagic septicaemia virus (VHSV) infection. Furthermore, LjMETTL3 expression was significantly upregulated at 12 h and 24 h post-RGNNV and VHSV infection in-vitro. In addition, ectopic expression of LjMETTL3 inhibited RGNNV and VHSV infection in LJB cells, whereas the knockdown of LjMETTL3 led to opposite effects [71]. The higher levels and increased activity of LjMETTL3 in response to RGNNV and VHSV infections indicate its essential role in the sea perch’s immune response to viruses. The ability of LjMETTL3 to inhibit these viral infections highlights its potential as a target for improving viral resistance in aquaculture.

Among the viral genes associated with the replication and proliferation of bombyx mori nucleopolyhedrovirus (BmNPV), the ie-1 mRNA exhibited a notably higher m6A level compared to other viral genes [72]. The presence of m6A sites in the ie-1 mRNA seemed inversely related to protein expression. When BmYTHDF3 was overexpressed, it led to a dose-dependent inhibition of viral replication. On the other hand, cells transfected with siRNA targeting BmYTHDF3 showed a contrasting effect. Depletion of BmYTHDF3 in BmN cells resulted in increased expression of the viral structural protein VP39, while overexpression of m6A-related enzymes in BmN cells had the opposite effect [73]. The findings highlight the significant role of m6A modifications and m6A-binding proteins in regulating BmNPV replication. The inverse relationship between m6A levels on ie-1 mRNA and protein expression suggests a mechanism in which m6A negatively impacts viral gene expression. BmYTHDF3 seems to play a crucial role in this regulatory pathway. Therefore, m6A modifications are a negative regulatory mechanism for BmNPV replication in BmN cells. Targeting m6A-related enzymes could offer new strategies for controlling BmNPV infections.

3.3 m6A modification and regulation of viral-host interactions

High-pathogenicity porcine reproductive and respiratory syndrome virus (HP-PRRSV) is a virus that infects farmed pigs worldwide. HP-PRRSV causes significant changes in m6A modification levels and alternative splicing of many genes in lung tissue, including LMO7, SLC25A27, ZNF185, and ECM1 [74]. These genes play crucial roles in cellular metabolism. For example, ECM1 may regulate viral extracellular spread via the ITGB3-AKT2/FAK signalling pathway, while LMO7 may modulate inflammatory signalling pathways by inhibiting the expression of genes such as c-JUN and SMAD3. Recent studies have shown that the HP-PRRSV Nsp9 antagonises FTO expression. This action leads to an increase in endogenous mRNA m6A modification levels and affects the expression of crucial host factors such as IL-13 [75]. Therefore, changes in the m6A modification landscape may play a key role in virus-host interactions during PRRSV infection.

The Newcastle disease virus (NDV) significantly impacts poultry industries globally. Understanding the interactions between the virus and its host at a molecular level is crucial to developing effective strategies to combat it. One such interaction involves m6A modifications, critical in regulating gene expression [76]. Following infection with NDV, 1234 mRNAs showed significantly altered m6A methylation levels. A negative correlation was found between m6A modification and cellular mRNA expression, suggesting that m6A may suppress the expression of specific host genes during infection. The study found that many affected mRNAs play a role in the innate immune response, suggesting that m6A modifications may affect the host's defence mechanisms against NDV infection. The infection also caused an increase in m6A-related enzymes, potentially altering the m6A landscape in the host cell's transcriptome. Furthermore, m6A peaks were identified in the NDV genome, indicating that host methylation-related enzymes could influence viral replication [77].

Senecavirus A (SVA) is a significant veterinary pathogen with a single-stranded mRNA genome. Epigenetic modifications, like m6A, are known to affect the replication and evolution of SVA. While the SVA genome may undergo m6A modification during replication, the analysis showed that only half of the viral genomic RNA samples (three out of six) exhibited m6A modifications [78]. The presence of m6A modifications varies across samples, suggesting that these epigenetic effects may not significantly drive SVA evolution. Further research is needed to explore alternative epigenetic regulatory mechanisms influencing SVA replication and adaptation.

The enrichment of m6A modification in the host cell’s transcriptome may be altered by virus infection. It has recently been shown that the m6A levels in endogenous mRNA were significantly higher in the livers of ducks infected with the attenuated duck hepatitis A virus (DHAV) compared to those infected with high-virulent strains [79]. The combined analysis of m6A-RIP-seq and RNA-seq showed a generally positive correlation between m6A modification levels and mRNA expression levels in the livers of ducklings infected with DHAV. The increased m6A levels in attenuated DHAV-infected livers suggest a potential role for m6A in modulating the host's response to viral infection. The positive correlation between m6A modification and mRNA expression suggests that m6A may improve the stability and translation of host mRNAs, thereby influencing the outcome of DHAV infection. As a result, m6A modification may play a crucial role in DHAV infection, especially in attenuated versus highly virulent strains.

Moreover, although some animal viruses have been reported to carry m6A modifications in their genome, the exact functions of m6A modifications in viral life cycles remain unclear. For instance, the avian leukosis virus subgroup J (ALV-J) [33].

4 How does m6A modification regulate virus replication?

4.1 m6A modification in viral genomes and regulation of viral RNA metabolism

The presence of m6A modifications within viral genomes can significantly affect viral replication by changing viral RNA functions. These modifications impact viral gene expression by influencing viral RNA's stability, splicing, and translation (Figure 2). For example, m6A modifications have been found in the HA genes of IAV. These modifications increase the HA protein's expression by improving HA mRNA's stability [80]. In other viruses, such as HIV and ZIKV, m6A modifications help in the replication of the virus by increasing the stability and translation of viral mRNA [32, 81]. Specifically, the methylation of viral RNA by the host methyltransferase complex, which consists of METTL3 and METTL14, plays a crucial role in stabilising viral RNA and facilitating efficient translation. This promotes viral gene expression and replication. On the other hand, in different contexts, m6A modifications can act as a repressive mechanism. For instance, m6A modifications have been discovered to decrease the stability of HBV pgRNA, thereby inhibiting viral replication [82,83,84]. These conflicting effects emphasise the complexity of m6A-mediated regulation of viral genomes and underscore the need for further investigation to fully understand the mechanisms by which m6A modifications influence viral replication.

Figure 2
figure 2

m6A modification regulates viral RNA metabolism. The presence of m6A modifications within viral genomes can significantly impact viral replication by affecting viral RNA functions. These modifications influence viral gene expression by impacting the stability, splicing, and translation of viral RNA. m6A reader proteins, such as YTHDF and IGF2BP, recognise the modified viral RNA and facilitate its metabolism in the cytoplasm. For example, the YTHDF1 and YTHDC2 promote the translation of m6A modified viral RNA, while YTHDF2 recruits other host cell factors to degrade m6A modified viral RNA. These opposing effects highlight the complexity of m6A-mediated regulation of viral genomes and emphasise the need for further investigation to fully understand how m6A modifications influence viral replication.

4.2 Affecting m6A levels of cellular transcriptome post-viral infection

Virus infections significantly change the host cell's transcriptome, including modifications in the m6A landscape of cellular RNAs. These changes can impact the expression of host genes crucial for the viral life cycle and the host's antiviral response. For example, during IAV infection, there is a widespread increase in m6A modifications on host mRNAs [80]. This alteration affects the stability and translation of host mRNAs, potentially facilitating viral replication or enhancing the host's antiviral defence mechanisms.

In the case of human cytomegalovirus (HCMV) infection, m6A modifications on host mRNAs are dynamically regulated [85]. HCMV induces the expression of m6A writer enzymes such as METTL3 and METTL14, which modify specific host mRNAs to favour viral replication. This virus-induced reprogramming of the host m6A landscape can lead to the upregulation of pro-viral genes and the downregulation of antiviral genes, thereby creating a more favourable cellular environment for viral replication.

Furthermore, m6A modifications can influence the expression of key regulatory genes involved in virus-host interactions. For instance, m6A modification in the interferon-stimulated gene 15 (ISG15) mRNA can modulate its expression, impacting the antiviral response [86, 87]. Another potential target of m6A modifications in regulating anti-viral responses is the tripartite motif containing 29 (TRIM29). TRIM29 has been shown to regulate both DNA and RNA virus infections by mediating type I interferon (IFN-I) responses [88, 89]. For example, the Epstein-Barr virus (EBV) has been reported to use TRIM29 to suppress innate immune responses in host cells, leading to persistent infections [90].

TRIM29 is also capable of directly binding to NEMO and subsequently inducing its ubiquitination and proteolytic degradation in response to influenza virus and Haemophilus influenzae virus infections in the respiratory tract [88]. Additionally, TRIM29 enhances PERK-mediated ER stress immune responses, thereby promoting viral myocarditis induced by cardiotropic RNA viruses [91].

Recent research has indicated that recruitment of YTHDF1 to m6A-modified TRIM29 is involved in promoting TRIM29 translation in cisplatin-resistant ovarian cancer cells [92]. Therefore, TRIM29 may be a crucial mediator in regulating virus-host interactions via m6A modifications. These findings suggest that viruses can manipulate the host m6A machinery to evade immune responses and enhance their replication.

4.3 Regulating antiviral immunity through m6A modifications

m6A modifications are crucial in regulating the body’s antiviral immune response, including innate and adaptive immunity. The innate immune response is the first line of defence against viral infections. m6A modifications influence the activation of pattern recognition receptors (PRRs) that recognise viral RNA, thereby affecting the innate immune response (Figure 3). For instance, m6A-modified viral RNA can hinder recognition by the cytoplasmic RNA sensor RIG-I, enabling the virus to evade the activation of downstream signaling pathways and the production of type I interferons (IFNs) [28]. This diminishes the antiviral state of the host cell and hinders enhanced virus replication. Furthermore, m6A modifications can impact the expression of key regulators of the innate immune response, such as interferon regulatory factors (IRFs) and nuclear factor-kappa B (NF-κB), thus influencing the strength and duration of the antiviral response [87].

Figure 3
figure 3

m6A modification regulates IFN production. The activation of pattern recognition receptors (PRRs) that recognise viral RNA is influenced by m6A modifications. This modulates the innate immune response. Additionally, the signalling transduction by MAVS, the adaptor of RNA sensors, is also influenced by m6A modifications in viral RNA. As a result, the production of IFN-I is affected, which further regulates the antiviral innate immune response in virally infected cells.

During adaptive immune responses, m6A modifications can influence the differentiation and function of T and B lymphocytes, which are critical for clearing viral infections. For example, m6A modifications on mRNAs encoding cytokines and chemokines can regulate their expression, shaping the immune response [93]. Targeting the m6A machinery in immune cells can enhance the efficacy of antiviral therapies by boosting the host's immune response against the virus.

5 Conclusions and future prospects

The regulation of viral replication by m6A modifications is a complex process that involves modulating viral genome RNA functions, changes in cellular m6A landscapes, and the regulation of antiviral immunity. Understanding these interactions provides valuable insights into the molecular mechanisms of viral replication and virus-host interactions. Targeting m6A modifications shows promise for developing novel antiviral therapies. By modulating the m6A machinery, it may be possible to enhance antiviral immune responses and inhibit viral replication, offering new strategies to combat viral infections.

However, targeting the m6A machinery for therapeutic purposes presents a complex challenge due to its integral role in cellular gene expression. It requires nuanced approaches to selectively target viral components without disrupting cellular functions. One possible approach is to develop small molecules or engineered proteins that can specifically recognise and bind to m6A-modified sites on viral RNA without affecting cellular RNA. This could be achieved by identifying unique sequences or structural features in viral RNA that are absent in cellular RNA.

Targeting the interaction between viruses and their hosts could help reduce side effects. Some viruses use specific host proteins to alter their RNA. Disrupting these interactions might selectively prevent the m6A modification of viral RNA without affecting cellular RNA. However, this approach requires precise control over the timing and dosage of therapeutic agents to reduce viral RNA modifications during critical stages of the viral life cycle while allowing normal cellular processes to proceed.

Significant progress in RNA biology has provided precise methods for interfering with the m6A modification in viral RNA in recent years. For instance, the CRISPR/Cas-based systems, like CRISPR/dCas9 [94,95,96], can be fused to m6A writers or erasers and engineered to target viral RNA sequences selectively. By designing guide RNAs that specifically recognise viral RNA, it may be possible to modulate m6A marks on viral RNA with high precision. Furthermore, RNA aptamers or nanobodies that specifically bind m6A-modified viral RNA could be developed to block the function of these modified sites, inhibiting viral replication without interfering with cellular m6A-modified RNA.

Apart from m6A modifications, other types of RNA modifications, such as m1A and m5C, have also been found to play crucial roles in viral replication. The discovery of these modifications in the genomes of RNA viruses suggests that epigenetic marks are not just passive bystanders but active participants in the viral life cycle. They impact various stages of viral replication, including RNA stability, translation, and the evasion of host immune responses. For example, m1A modifications have been demonstrated to affect RNA secondary structure and translation efficiency, potentially impacting viral protein synthesis. Similarly, m5C modifications can affect RNA stability and the recognition of viral RNA by the host's immune system.

RNA modifications have implications beyond just viral replication. They also affect virus-host interactions and viral evolution. Epigenetic modifications can alter the host's response to viral infections, influencing the infection’s outcome [97]. RNA modifications are dynamic, allowing viruses to adapt quickly to changing host environments, contributing to their evolutionary success. This adaptability is critical in the context of emerging viral pathogens, where rapid evolution can lead to the emergence of new strains with altered pathogenicity and transmissibility.

In conclusion, the study of RNA modifications in viral genomes is a growing field with the potential to enhance our understanding of virus-host interactions and viral evolution. By uncovering the roles of different RNA modifications, such as m6A, researchers can discover new mechanisms of viral replication and identify potential targets for antiviral therapies. Exploring epigenetic modifications in viral RNA is an important area for future research, with significant implications for virology and the control of infectious diseases.

Data Availability

Data availability statement:The data that support the conclusions of this review are available from the corresponding author J.T, upon reasonable request.

References

  1. Desrosiers R, Friderici K, Rottman F (1974) Identification of methylated nucleosides in messenger RNA from Novikoff hepatoma cells. Proc Natl Acad Sci USA 71:3971–3975

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Chen K, Zhao BS, He C (2016) Nucleic acid modifications in regulation of gene expression. Cell Chem Biol 23:74–85

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Zhao BS, Roundtree IA, He C (2017) Post-transcriptional gene regulation by mRNA modifications. Nat Rev Mol Cell Biol 18:31–42

    Article  CAS  PubMed  Google Scholar 

  4. He PC, He C (2021) m6A RNA methylation: from mechanisms to therapeutic potential. EMBO J 40:e105977

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Shi H, Wei J, He C (2019) Where, when, and how: context-dependent functions of RNA methylation writers, readers, and erasers. Mol Cell 74:640–650

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Jia G, Fu Y, Zhao X, Dai Q, Zheng G, Yang Y, Yi C, Lindahl T, Pan T, Yang YG, He C (2011) N6-methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO. Nat Chem Biol 7:885–887

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Zheng G, Dahl JA, Niu Y, Fedorcsak P, Huang CM, Li CJ, Vagbo CB, Shi Y, Wang WL, Song SH, Lu Z, Bosmans RP, Dai Q, Hao YJ, Yang X, Zhao WM, Tong WM, Wang XJ, Bogdan F, Furu K, Fu Y, Jia G, Zhao X, Liu J, Krokan HE, Klungland A, Yang YG, He C (2013) ALKBH5 is a mammalian RNA demethylase that impacts RNA metabolism and mouse fertility. Mol Cell 49:18–29

    Article  CAS  PubMed  Google Scholar 

  8. Yue Y, Liu J, He C (2015) RNA N6-methyladenosine methylation in post-transcriptional gene expression regulation. Genes Dev 29:1343–1355

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Zhu T, Roundtree IA, Wang P, Wang X, Wang L, Sun C, Tian Y, Li J, He C, Xu Y (2014) Crystal structure of the YTH domain of YTHDF2 reveals mechanism for recognition of N6-methyladenosine. Cell Res 24:1493–1496

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Fu Y, Dominissini D, Rechavi G, He C (2014) Gene expression regulation mediated through reversible m6A RNA methylation. Nat Rev Genet 15:293–306

    Article  CAS  PubMed  Google Scholar 

  11. Mathur L, Jung S, Jang C, Lee G (2021) Quantitative analysis of m6A RNA modification by LC-MS. STAR Protoc 2:100724

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Dominissini D, Moshitch-Moshkovitz S, Salmon-Divon M, Amariglio N, Rechavi G (2013) Transcriptome-wide mapping of N6-methyladenosine by m6A-seq based on immunocapturing and massively parallel sequencing. Nat Protoc 8:176–189

    Article  CAS  PubMed  Google Scholar 

  13. Grozhik AV, Linder B, Olarerin-George AO, Jaffrey SR (2017) Mapping m6A at individual-nucleotide resolution using crosslinking and immunoprecipitation (miCLIP). Methods Mol Biol 1562:55–78

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Kortel N, Ruckle C, Zhou Y, Busch A, Hoch-Kraft P, Sutandy FXR, Haase J, Pradhan M, Musheev M, Ostareck D, Ostareck-Lederer A, Dieterich C, Huttelmaier S, Niehrs C, Rausch O, Dominissini D, Konig J, Zarnack K (2021) Deep and accurate detection of m6A RNA modifications using miCLIP2 and m6Aboost machine learning. Nucl Acids Res 49:e92

    Article  PubMed  PubMed Central  Google Scholar 

  15. Linder B, Grozhik AV, Olarerin-George AO, Meydan C, Mason CE, Jaffrey SR (2015) Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome. Nat Methods 12:767–772

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Ensinck I, Sideri T, Modic M, Capitanchik C, Vivori C, Toolan-Kerr P, van Werven FJ (2023) m6A-ELISA, a simple method for quantifying N6-methyladenosine from mRNA populations. RNA 29:705–712

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Golovina AY, Dzama MM, Petriukov KS, Zatsepin TS, Sergiev PV, Bogdanov AA, Dontsova OA (2014) Method for site-specific detection of m6A nucleoside presence in RNA based on high-resolution melting (HRM) analysis. Nucl Acids Res 42:e27

    Article  CAS  PubMed  Google Scholar 

  18. Xiao Y, Wang Y, Tang Q, Wei L, Zhang X, Jia G (2018) An elongation- and ligation-based qPCR amplification method for the radiolabeling-free detection of locus-specific N6 -methyladenosine modification. Angew Chem Int Ed Engl 57:15995–16000

    Article  CAS  PubMed  Google Scholar 

  19. Roundtree IA, Evans ME, Pan T, He C (2017) Dynamic RNA modifications in gene expression regulation. Cell 169:1187–1200

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Zaccara S, Ries RJ, Jaffrey SR (2019) Reading, writing and erasing mRNA methylation. Nat Rev Mol Cell Biol 20:608–624

    Article  CAS  PubMed  Google Scholar 

  21. Shi H, Wang X, Lu Z, Zhao BS, Ma H, Hsu PJ, Liu C, He C (2017) YTHDF3 facilitates translation and decay of N6-methyladenosine-modified RNA. Cell Res 27:315–328

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Wang X, Lu Z, Gomez A, Hon GC, Yue Y, Han D, Fu Y, Parisien M, Dai Q, Jia G, Ren B, Pan T, He C (2014) N6-methyladenosine-dependent regulation of messenger RNA stability. Nature 505:117–120

    Article  PubMed  Google Scholar 

  23. Roundtree IA, Luo GZ, Zhang Z, Wang X, Zhou T, Cui Y, Sha J, Huang X, Guerrero L, Xie P, He E, Shen B, He C (2017) YTHDC1 mediates nuclear export of N6-methyladenosine methylated mRNAs. Elife 6:e31311

    Article  PubMed  PubMed Central  Google Scholar 

  24. Xiao W, Adhikari S, Dahal U, Chen YS, Hao YJ, Sun BF, Sun HY, Li A, Ping XL, Lai WY, Wang X, Ma HL, Huang CM, Yang Y, Huang N, Jiang GB, Wang HL, Zhou Q, Wang XJ, Zhao YL, Yang YG (2016) Nuclear m6A reader YTHDC1 regulates mRNA splicing. Mol Cell 61:507–519

    Article  CAS  PubMed  Google Scholar 

  25. Du H, Zhao Y, He J, Zhang Y, Xi H, Liu M, Ma J, Wu L (2016) YTHDF2 destabilizes m6A-containing RNA through direct recruitment of the CCR4-NOT deadenylase complex. Nat Commun 7:12626

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Aufgebauer CJ, Bland KM, Horner SM (2024) Modifying the antiviral innate immune response by selective writing, erasing, and reading of m6A on viral and cellular RNA. Cell Chem Biol 31:100–109

    Article  CAS  PubMed  Google Scholar 

  27. Chen Y, Wang W, Zhang W, He M, Li Y, Qu G, Tong J (2023) Emerging roles of biological m6A proteins in regulating virus infection: a review. Int J Biol Macromol 253:126934

    Article  CAS  PubMed  Google Scholar 

  28. Tong J, Zhang W, Chen Y, Yuan Q, Qin NN, Qu G (2022) The emerging role of RNA modifications in the regulation of antiviral innate immunity. Front Microbiol 13:845625

    Article  PubMed  PubMed Central  Google Scholar 

  29. Baek A, Lee GE, Golconda S, Rayhan A, Manganaris AA, Chen S, Tirumuru N, Yu H, Kim S, Kimmel C, Zablocki O, Sullivan MB, Addepalli B, Wu L, Kim S (2024) Single-molecule epitranscriptomic analysis of full-length HIV-1 RNAs reveals functional roles of site-specific m6As. Nat Microbiol 9:1340–1355

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Baquero-Perez B, Yonchev ID, Delgado-Tejedor A, Medina R, Puig-Torrents M, Sudbery I, Begik O, Wilson SA, Novoa EM, Diez J (2024) N6-methyladenosine modification is not a general trait of viral RNA genomes. Nat Commun 15:1964

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Chen J, Song HX, Hu JH, Bai JS, Li XH, Sun RC, Zhao BQ, Li MZ, Zhou B (2024) Classical swine fever virus non-structural protein 5B hijacks host METTL14-mediated m6A modification to counteract host antiviral immune response. PLoS Pathog 20:e1012130

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Gokhale NS, McIntyre ABR, Mattocks MD, Holley CL, Lazear HM, Mason CE, Horner SM (2020) Altered m6A modification of specific cellular transcripts affects flaviviridae infection. Mol Cell 77:542-555.e8

    Article  CAS  PubMed  Google Scholar 

  33. Ji J, Mu X, Xu S, Xu X, Zhang Z, Yao L, Xie Q, Bi Y (2024) Conservation and distribution of the DRACH motif for potential m6A sites in avian leukosis virus subgroup. J Front Vet Sci 11:1374430

    Article  PubMed  Google Scholar 

  34. Meyer KD, Saletore Y, Zumbo P, Elemento O, Mason CE, Jaffrey SR (2012) Comprehensive analysis of mRNA methylation reveals enrichment in 3’ UTRs and near stop codons. Cell 149:1635–1646

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Cullen BR, Tsai K (2021) Mapping RNA modifications using photo-crosslinking-assisted modification sequencing. Methods Mol Biol 2298:123–134

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Li X, Song J, Yi C (2014) Genome-wide mapping of cellular protein-RNA interactions enabled by chemical crosslinking. Genom Proteom Bioinform 12:72–78

    Article  CAS  Google Scholar 

  37. Zhang Z, Chen LQ, Zhao YL, Yang CG, Roundtree IA, Zhang Z, Ren J, Xie W, He C, Luo GZ (2019) Single-base mapping of m6A by an antibody-independent method. Sci Adv 5:eaax0250

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Garcia-Campos MA, Edelheit S, Toth U, Safra M, Shachar R, Viukov S, Winkler R, Nir R, Lasman L, Brandis A, Hanna JH, Rossmanith W, Schwartz S (2019) Deciphering the “m6A Code” via antibody-independent quantitative profiling. Cell 178:731-747.e16

    Article  CAS  PubMed  Google Scholar 

  39. Wang S, Wang J, Zhang X, Fu B, Song Y, Ma P, Gu K, Zhou X, Zhang X, Tian T, Zhou X (2016) N6-Methyladenine hinders RNA- and DNA-directed DNA synthesis: application in human rRNA methylation analysis of clinical specimens. Chem Sci 7:1440–1446

    Article  CAS  PubMed  Google Scholar 

  40. Zhong ZD, Xie YY, Chen HX, Lan YL, Liu XH, Ji JY, Wu F, Jin L, Chen J, Mak DW, Zhang Z, Luo GZ (2023) Systematic comparison of tools used for m6A mapping from nanopore direct RNA sequencing. Nat Commun 14:1906

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Zhu W, Wang JZ, Xu Z, Cao M, Hu Q, Pan C, Guo M, Wei JF, Yang H (2019) Detection of N6-methyladenosine modification residues (Review). Int J Mol Med 43:2267–2278

    CAS  PubMed  PubMed Central  Google Scholar 

  42. Arango D, Sturgill D, Alhusaini N, Dillman AA, Sweet TJ, Hanson G, Hosogane M, Sinclair WR, Nanan KK, Mandler MD, Fox SD, Zengeya TT, Andresson T, Meier JL, Coller J, Oberdoerffer S (2018) Acetylation of cytidine in mRNA promotes translation efficiency. Cell 175:1872-1886.e24

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Dominissini D, Moshitch-Moshkovitz S, Schwartz S, Salmon-Divon M, Ungar L, Osenberg S, Cesarkas K, Jacob-Hirsch J, Amariglio N, Kupiec M, Sorek R, Rechavi G (2012) Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq. Nature 485:201–206

    Article  CAS  PubMed  Google Scholar 

  44. Fan X, Zhang Y, Guo R, Yue K, Smagghe G, Lu Y, Wang L (2024) Decoding epitranscriptomic regulation of viral infection: mapping of RNA N6-methyladenosine by advanced sequencing technologies. Cell Mol Biol Lett 29:42

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Peng Q, Qiao J, Li W, You Q, Hu S, Liu Y, Liu W, Hu K, Sun B (2023) Global m6A methylation and gene expression patterns in human microglial HMC3 cells infected with HIV-1. Heliyon 9:e21307

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Hafner M, Landthaler M, Burger L, Khorshid M, Hausser J, Berninger P, Rothballer A, Ascano M Jr, Jungkamp AC, Munschauer M, Ulrich A, Wardle GS, Dewell S, Zavolan M, Tuschl T (2010) Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP. Cell 141:129–141

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Hafner M, Landthaler M, Burger L, Khorshid M, Hausser J, Berninger P, Rothballer A, Ascano M, Jungkamp AC, Munschauer M, Ulrich A, Wardle GS, Dewell S, Zavolan M, Tuschl T (2010) PAR-CliP–a method to identify transcriptome-wide the binding sites of RNA binding proteins. J Vis Exp 41:2034

    Google Scholar 

  48. Horner SM, Thompson MG (2024) Challenges to mapping and defining m6A function in viral RNA. RNA 30:482–490

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Kennedy EM, Bogerd HP, Kornepati AVR, Kang D, Ghoshal D, Marshall JB, Poling BC, Tsai K, Gokhale NS, Horner SM, Cullen BR (2017) Posttranscriptional m6A editing of HIV-1 mRNAs enhances viral gene expression. Cell Host Microbe 22:830

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Liu J, Chen L, Guo X, Zhao B, Jiang J (2024) Emerging role of N6-methyladenosine RNA modification in regulation of SARS-CoV-2 infection and virus-host interactions. Biomed Pharmacother 173:116231

    Article  CAS  PubMed  Google Scholar 

  51. Tsai K, Courtney DG, Cullen BR (2018) Addition of m6A to SV40 late mRNAs enhances viral structural gene expression and replication. PLoS Pathog 14:e1006919

    Article  PubMed  PubMed Central  Google Scholar 

  52. Castellanos-Rubio A, Santin I, Olazagoitia-Garmendia A, Romero-Garmendia I, Jauregi-Miguel A, Legarda M, Bilbao JR (2019) A novel RT-QPCR-based assay for the relative quantification of residue specific m6A RNA methylation. Sci Rep 9:4220

    Article  PubMed  PubMed Central  Google Scholar 

  53. Shi C, Shen X, Niu S, Ma C (2015) Innate reverse transcriptase activity of DNA polymerase for isothermal RNA direct detection. J Am Chem Soc 137:13804–13806

    Article  CAS  PubMed  Google Scholar 

  54. Gao Y, Liu X, Wu B, Wang H, Xi F, Kohnen MV, Reddy ASN, Gu L (2021) Quantitative profiling of N6-methyladenosine at single-base resolution in stem-differentiating xylem of Populus trichocarpa using Nanopore direct RNA sequencing. Genome Biol 22:22

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Wang Y, Zhao Y, Bollas A, Wang Y, Au KF (2021) Nanopore sequencing technology, bioinformatics and applications. Nat Biotechnol 39:1348–1365

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Garalde DR, Snell EA, Jachimowicz D, Sipos B, Lloyd JH, Bruce M, Pantic N, Admassu T, James P, Warland A, Jordan M, Ciccone J, Serra S, Keenan J, Martin S, McNeill L, Wallace EJ, Jayasinghe L, Wright C, Blasco J, Young S, Brocklebank D, Juul S, Clarke J, Heron AJ, Turner DJ (2018) Highly parallel direct RNA sequencing on an array of nanopores. Nat Methods 15:201–206

    Article  CAS  PubMed  Google Scholar 

  57. Acera Mateos P, Sethi AJ, Ravindran A, Srivastava A, Woodward K, Mahmud S, Kanchi M, Guarnacci M, Xu J, Yuen ZWS, Zhou Y, Sneddon A, Hamilton W, Gao J, Starrs LM, Hayashi R, Wickramasinghe V, Zarnack K, Preiss T, Burgio G, Dehorter N, Shirokikh NE, Eyras E (2024) Prediction of m6A and m5C at single-molecule resolution reveals a transcriptome-wide co-occurrence of RNA modifications. Nat Commun 15:3899

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Wu Y, Shao W, Yan M, Wang Y, Xu P, Huang G, Li X, Gregory BD, Yang J, Wang H, Yu X (2024) Transfer learning enables identification of multiple types of RNA modifications using nanopore direct RNA sequencing. Nat Commun 15:4049

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Simpson JT, Workman RE, Zuzarte PC, David M, Dursi LJ, Timp W (2017) Detecting DNA cytosine methylation using nanopore sequencing. Nat Methods 14:407–410

    Article  CAS  PubMed  Google Scholar 

  60. Ni P, Huang N, Zhang Z, Wang DP, Liang F, Miao Y, Xiao CL, Luo F, Wang J (2019) DeepSignal: detecting DNA methylation state from Nanopore sequencing reads using deep-learning. Bioinformatics 35:4586–4595

    Article  CAS  PubMed  Google Scholar 

  61. Angeloni A, Ferguson J, Bogdanovic O (2022) Nanopore sequencing and data analysis for base-resolution genome-wide 5-methylcytosine profiling. Methods Mol Biol 2458:75–94

    Article  CAS  PubMed  Google Scholar 

  62. Workman RE, Tang AD, Tang PS, Jain M, Tyson JR, Razaghi R, Zuzarte PC, Gilpatrick T, Payne A, Quick J, Sadowski N, Holmes N, de Jesus JG, Jones KL, Soulette CM, Snutch TP, Loman N, Paten B, Loose M, Simpson JT, Olsen HE, Brooks AN, Akeson M, Timp W (2019) Nanopore native RNA sequencing of a human poly(A) transcriptome. Nat Methods 16:1297–1305

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Smith AM, Jain M, Mulroney L, Garalde DR, Akeson M (2019) Reading canonical and modified nucleobases in 16S ribosomal RNA using nanopore native RNA sequencing. PLoS One 14:e0216709

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Lorenz DA, Sathe S, Einstein JM, Yeo GW (2020) Direct RNA sequencing enables m6A detection in endogenous transcript isoforms at base-specific resolution. RNA 26:19–28

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Parker MT, Knop K, Sherwood AV, Schurch NJ, Mackinnon K, Gould PD, Hall AJ, Barton GJ, Simpson GG (2020) Nanopore direct RNA sequencing maps the complexity of Arabidopsis mRNA processing and m6A modification. Elife 9:e49658

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Honeycutt E, Kizito F, Karn J, Sweet T (2024) Direct analysis of HIV mRNA m6A methylation by nanopore sequencing. Methods Mol Biol 2807:209–227

    Article  PubMed  Google Scholar 

  67. Khan O, Tanuj GN, Choravada DR, Rajak KK, Chandra Sekar S, Lingaraju MC, Dhara SK, Gupta PK, Mishra BP, Dutt T, Gandham RK, Sajjanar B (2023) N6-methyladenosine RNA modification in host cells regulates peste des petits ruminants virus replication. Microbiol Spectr 11:e0266622

    Article  PubMed  Google Scholar 

  68. Chen J, Jin L, Wang Z, Wang L, Chen Q, Cui Y, Liu G (2020) N6-methyladenosine regulates PEDV replication and host gene expression. Virology 548:59–72

    Article  CAS  PubMed  Google Scholar 

  69. Jin J, Xu C, Wu S, Wu Z, Wu S, Sun M, Bao W (2022) m6A demethylase ALKBH5 restrains PEDV infection by regulating GAS6 expression in porcine alveolar macrophages. Int J Mol Sci 23:6191

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Zhou H, Yan Y, Gao J, Ma M, Liu Y, Shi X, Zhang Q, Xu X (2023) Heterogeneous nuclear protein U degraded the m6A methylated TRAF3 transcript by YTHDF2 to promote porcine epidemic diarrhea virus replication. J Virol 97:e0175122

    Article  PubMed  Google Scholar 

  71. Yao L, Zhang W, Chen X, Yi M, Jia K (2023) Methyltransferase-like 3 suppresses red spotted grouper nervous necrosis virus and viral hemorrhagic septicemia virus infection by enhancing type I interferon responses in sea perch. Fish Shellfish Immunol 140:108993

    Article  CAS  PubMed  Google Scholar 

  72. Zhang X, Zhang Y, Pan J, Gong C, Hu X (2022) Identification and characterization of BmNPV m6A sites and their possible roles during viral infection. Front Immunol 13:869313

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Zhang X, Zhang Y, Dai K, Liang Z, Zhu M, Pan J, Zhang M, Yan B, Zhu H, Zhang Z, Dai Y, Cao M, Gu Y, Xue R, Cao G, Hu X, Gong C (2019) N6-methyladenosine level in silkworm midgut/ovary cell line is associated with Bombyx mori nucleopolyhedrovirus infection. Front Microbiol 10:2988

    Article  PubMed  Google Scholar 

  74. Lin C, Zeng M, Song J, Li H, Feng Z, Li K, Pei Y (2023) PRRSV alters m6A methylation and alternative splicing to regulate immune, extracellular matrix-associated function. Int J Biol Macromol 253:126741

    Article  CAS  PubMed  Google Scholar 

  75. Gong X, Liang Y, Wang J, Pang Y, Wang F, Chen X, Zhang Q, Song C, Wang Y, Zhang C, Fang X, Chen X (2024) Highly pathogenic PRRSV upregulates IL-13 production through nonstructural protein 9-mediated inhibition of N6-methyladenosine demethylase FTO. J Biol Chem 300:107199

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Li J, Ding J, Chen M, Chen K, Zou Y, Xu X, Zhang D, Yu X, Ding Z (2023) Transcriptome-wide N6-methyladenosine modification profiling of mRNAs during infection of Newcastle disease virus in chicken macrophages. Virus Res 323:198993

    Article  CAS  PubMed  Google Scholar 

  77. Yuan W, Hou Y, Wang Q, Lv T, Ren J, Fan L, Cai J, Xiang B, Lin Q, Liao M, Ding C, Chen L, Ren T (2023) Newcastle disease virus activates methylation-related enzymes to reprogram m6A methylation in infected cells. Vet Microbiol 281:109747

    Article  CAS  PubMed  Google Scholar 

  78. Meng H, Li Z, Wang L, Lyu L, Liu S, Wei R, Ni B, Liu F (2023) Cells at early and late stages of infection with Senecavirus A: comparative analysis of N6-methyladenosine modification on mRNAs. Virology 585:186–195

    Article  CAS  PubMed  Google Scholar 

  79. Wu L, Quan W, Zhang Y, Wang M, Ou X, Mao S, Sun D, Yang Q, Wu Y, Wei Y, Jia R, Chen S, Zhu D, Liu M, Zhao X, Zhang S, Huang J, Gao Q, Tian B, Cheng A (2022) Attenuated duck hepatitis A virus infection is associated with high mRNA maintenance in duckling liver via m6A modification. Front Immunol 13:839677

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  80. Courtney DG, Kennedy EM, Dumm RE, Bogerd HP, Tsai K, Heaton NS, Cullen BR (2017) Epitranscriptomic enhancement of influenza A virus gene expression and replication. Cell Host Microbe 22:377-386.e5

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Lichinchi G, Rana TM (2019) Profiling of N6-methyladenosine in Zika virus RNA and host cellular mRNA. Methods Mol Biol 1870:209–218

    Article  CAS  PubMed  Google Scholar 

  82. Kostyusheva A, Brezgin S, Glebe D, Kostyushev D, Chulanov V (2021) Host-cell interactions in HBV infection and pathogenesis: the emerging role of m6A modification. Emerg Microbes Infect 10:2264–2275

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Tsukuda S, Harris JM, Magri A, Balfe P, Siddiqui A, Wing PAC, McKeating JA (2024) The N6-methyladenosine demethylase ALKBH5 regulates the hypoxic HBV transcriptome. PLoS Pathog 20:e1011917

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  84. Zang Q, Ju Y, Liu S, Wu S, Zhu C, Liu L, Xu W, He Y (2024) The significance of m6A RNA methylation regulators in diagnosis and subtype classification of HBV-related hepatocellular carcinoma. Hum Cell 37:752–767

    Article  CAS  PubMed  Google Scholar 

  85. Rubio RM, Depledge DP, Bianco C, Thompson L, Mohr I (2018) RNA m6A modification enzymes shape innate responses to DNA by regulating interferon beta. Genes Dev 32:1472–1484

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  86. Liu Y, Li K, Xu YP, Zhu Z, Zhao H, Li XF, Ye Q, Yi C, Qin CF (2022) Characterization of m6A modifications in the contemporary Zika virus genome and host cellular transcripts. J Med Virol 94:4309–4318

    Article  CAS  PubMed  Google Scholar 

  87. McFadden MJ, McIntyre ABR, Mourelatos H, Abell NS, Gokhale NS, Ipas H, Xhemalce B, Mason CE, Horner SM (2021) Post-transcriptional regulation of antiviral gene expression by N6-methyladenosine. Cell Rep 34:108798

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  88. Xing J, Weng L, Yuan B, Wang Z, Jia L, Jin R, Lu H, Li XC, Liu YJ, Zhang Z (2016) Identification of a role for TRIM29 in the control of innate immunity in the respiratory tract. Nat Immunol 17:1373–1380

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  89. Xing J, Zhang A, Minze LJ, Li XC, Zhang Z (2018) TRIM29 negatively regulates the type I IFN production in response to RNA virus. J Immunol 201:183–192

    Article  CAS  PubMed  Google Scholar 

  90. Xing J, Zhang A, Zhang H, Wang J, Li XC, Zeng MS, Zhang Z (2017) TRIM29 promotes DNA virus infections by inhibiting innate immune response. Nat Commun 8:945

    Article  PubMed  PubMed Central  Google Scholar 

  91. Wang J, Lu W, Zhang J, Du Y, Fang M, Zhang A, Sungcad G, Chon S, Xing J (2024) Loss of TRIM29 mitigates viral myocarditis by attenuating PERK-driven ER stress response in male mice. Nat Commun 15:3481

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Hao L, Wang JM, Liu BQ, Yan J, Li C, Jiang JY, Zhao FY, Qiao HY, Wang HQ (2021) m6A-YTHDF1-mediated TRIM29 upregulation facilitates the stem cell-like phenotype of cisplatin-resistant ovarian cancer cells. Biochim Biophys Acta Mol Cell Res 1868:118878

    Article  CAS  PubMed  Google Scholar 

  93. Guo W, Wang Z, Zhang Y, Li Y, Du Q, Zhang T, Hu J, Yao Y, Zhang J, Xu Y, Cui X, Sun Z, You M, Yu G, Zhang H, Du X, Xu J, Yu S (2024) Mettl3-dependent m6A modification is essential for effector differentiation and memory formation of CD8+ T cells. Sci Bull 69:82–96

    Article  CAS  Google Scholar 

  94. Liu J, Dou X, Chen C, Chen C, Liu C, Xu MM, Zhao S, Shen B, Gao Y, Han D, He C (2020) N6-methyladenosine of chromosome-associated regulatory RNA regulates chromatin state and transcription. Science 367:580–586

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  95. Liu XM, Zhou J, Mao Y, Ji Q, Qian SB (2019) Programmable RNA N6-methyladenosine editing by CRISPR-Cas9 conjugates. Nat Chem Biol 15:865–871

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  96. Sun X, Wang DO, Wang J (2022) Targeted manipulation of m6A RNA modification through CRISPR-Cas-based strategies. Methods 203:56–61

    Article  CAS  PubMed  Google Scholar 

  97. Zhu Y, Wang R, Zou J, Tian S, Yu L, Zhou Y, Ran Y, Jin M, Chen H, Zhou H (2023) N6-methyladenosine reader protein YTHDC1 regulates influenza A virus NS segment splicing and replication. PLoS Pathog 19:e1011305

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We are grateful to Hebei University for providing fellowship for WW and YJ.

Funding

This work was supported by the Central Guidance on Local Science and Technology Development Fund of Hebei Province (E2020050011) to J.T.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, JT and WZ; data curation, WW, YJ, ZX, and JT; writing original draft, WW, YJ, ZX, JT and WZ; writing, review, and editing, WW, YJ, ZX, MH, JL, ZW, SM, JT and WZ; visualization, JT, and WZ. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Wuchao Zhang or Jie Tong.

Ethics declarations

Competing interests

The authors declare that they have no competing interests.

Additional information

Handling editor: Marie Galloux.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, W., Jin, Y., Xie, Z. et al. When animal viruses meet N6-methyladenosine (m6A) modifications: for better or worse?. Vet Res 55, 171 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13567-024-01424-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13567-024-01424-5

Keywords