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SM Virology

LncRNA: A Rising Star in Virus-Host Cross-Talk during HIV-1 Infection

[ ISSN : 3067-9974 ]

Abstract Citation Keywords Introduction LncRNA Multifunctional role of lncRNA in HIV Perspective Acknowledgments References
Details

Received: 13-Sep-2016

Accepted: 13-Oct-2016

Published: 17-Oct-2016

Liujun Chen1 , Shanshan Xu1 , Luoshiyuan Zuo3 , Song Han1,2, Jun Yin1,2, Biwen Peng1,2, Xiaohua He1,2 and Wanhong Liu1,2*

1Hubei Province Key Laboratory of Allergy and Immunology, School of Basic Medical Sciences, Wuhan University, China

2Hubei Provincial Key Laboratory of Developmentally Originated Disease, China

3School of Health Sciences, Wuhan University, China

Corresponding Author:

Wanhong Liu, School of Basic MedicalSciences, Wuhan University, China,Tel: 0086-27-68759985,Fax: 0086-27-68759991,

Keywords

HIV; Long noncoding RNAs (lncRNAs); Function; Latency; Antivirus

Abstract

The Human Immunodeficiency Virus (HIV) is a retrovirus that has been aroused worldwide concern, due to its chronic and persistent infection, ultimately leading to a causal result of Acquired Immunodeficiency Syndrome (AIDS). Long noncoding RNAs (lncRNAs) are non-protein coding transcript longer than 200 Base Pairs (bp) and being considered to be key regulators that involved in various biological processes, such as chromatin modification, transcriptional regulation, post-transcriptional regulation, intracellular trafficking and etc. What deserves to be noticed is that lncRNAs are recently being reported to link with viruses closely, and lncRNAs are differentially expressed after a variety of virus infections, including HIV-1 infection. In this paper, we review the rapidly advancing field of lncRNAs, focus on the current progress of lncRNAs in HIV-1 infection, and briefly discuss their different roles in host gene regulation and viral replication during the establishment or maintenance of viral latency. Interestingly, lncRNAs may emerge as novel biomarkers of antiviral drugs and provide potential targets for new therapeutics of AIDS.

Citation

Chen L, Xu S, Zuo L, Han S, Yinc J, Peng B, et al. LncRNA: A Rising Star in Virus-Host Cross-Talk during HIV-1 Infection. SM Virol. 2016; 1(2): 1010.

Keywords

HIV; Long noncoding RNAs (lncRNAs); Function; Latency; Antivirus

Introduction

The Human Immunodeficiency Virus (HIV) is a RNA virus belonging to the genera of lentiviruses, family of retrovirus that is characterized by its chronic and persistent infection. HIV ultimately leads to a causal result of Acquired Immunodeficiency Syndrome (AIDS), which persists as one of the greatest global health challenge [1,2], even without an efficacious vaccine in the near future. It is especially imminent and vital to explore and improve the methods of searching novel host targets and biomarkers for AIDS prognostics and diagnostics. In recent years, different types of noncoding RNAs (ncRNAs), including lncRNAs have been discovered that involved in various biological processes, including HIV infection [3-6]. In this paper, we focus on these phenomena, compared these IncRNAs and illustrated the intricate relationship between IncRNAs and HIV.

LncRNA

LncRNA synopsis

It is worth mentioning that there are a growing number of reports describing long noncoding RNA, although the current literatures are dominated by short transcripts. Known as a particular noncoding transcriptional class without any single unifying feature, lncRNAs are currently referred as RNA transcripts of longer than 200 Base Pairs (bp), without evident protein-coding capability. To the extent that lncRNA was initially regarded as ‘junk’ RNA or spurious transcriptional noise in the last few years. But this view was based on misconceptions and had been outdated stereotypes [7-10].

LncRNAs have a broad definition encompassing different classes of RNA transcripts [9,11]. Based on transcript length, a threshold of 200 base pairs separates long from short ncRNAs, which is the most commonly used attribute for their classification [12,13]. Classification based on association with annotated serves as the foundation of the GENCODE classification of lncRNAs that are classified as intronic ncRNA, sense ncRNA, natural antisense ncRNA and etc [14-16]. Classification based on association with other DNA elements of known function, such as enhancer-associated RNA, promoter-associated long RNA, telomeric repeat-containing RNA and etc [12,17,18]. Classification based on sequence and structure conservation, such as transcribed-ultraconserved regions, Hypoxia-induced noncoding ultraconserved transcript, long-intergenic noncoding RNA, long-intervening noncoding RNA and etc [19-21].

LncRNAs are transcribed and processed in a manner similar to Messenger RNAs (mRNAs) that have been demonstrated to be important in development and disease. Additionally, lncRNAs involved in a broad spectrum of gene regulatory functions such as epigenetic activities, translational regulation or scaffolding/decoy functions that have been widely acknowledgement.[22,23]. Notablely, lncRNAs are reported to be closely related to virus infections.

As lncRNA being a ring star of important molecular, plentiful researches and facts make more researchers realize lncRNA may have functions in virus infection and host defense [24-28]. For example, after influenza-A virus and Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) infections, there were 5,329 IncRNAs expressing differentially [24]. In Coxsackievirus A16 (CA16) infected Rhabdomyosarcoma (RD) cells identified by RNA-seq, there were 1,970 lncRNAs were found to have differential expression [25]. Besides, more than 4,800 lncRNAs were observed the differential expression in Enterovirus 71 (EV71) infections [26]. Conversely, lncRNA GAS5 can inhibit Hepatitis C Virus (HCV) replication by binding viral NS3 protein [27]. Theiler’s Murine Encephalomyelitis Virus (TMEV) infection can be influence by lncRNA NeST susceptibility [28].

LncRNAs changed by HIV infection

Two separate researches were choreographed by two independent groups that utilized the next generation sequencing to reveal a map of lncRNAs information in different cells after HIV infection [3,4]. Plenty of lncRNAs were identified to have significant differential expression in different cells with HIV-1 infected by qRT-PCR. Zhang et al. identified that 8 lncRNAs were upregulated and 5 lncRNAs were downregulated in HIV-1-infected Jurkat cells, while 6 lncRNAs were upregulated and 5 lncRNAs were downregulated in HIV-1-infected MT4 cells. In contrast, Imam et al. found that 2 lncRNAs were downregulated and 21 lncRNAs were upregulated in HIV-1-infected Jurkat cells. In addition, 4 lncRNAs were downregulated and 23 lncRNAs were upregulated in the PMA-activated J1.1 cells compared to mock-activated cells.

Intriguingly, differential expressed lncRNA SRA was reported in these two groups. Zhang et al. found that lncRNA SRA was downregulated in both Jurkat and MT4 cells [3]. However, Imam et al. found that lncRNA SRA was upregulated in both Jurkat and J1.1 cells [4]. Such differences may imply that lncRNA differential expression vary from cell to cell at different post-infection time. These data suggested that the above lncRNAs may be modulated by viruses itself or cellular protein during HIV infection process. But more work is needed to study on their regulatory mechanism.

p53 dependent apoptosis-related lncRNAs in HIV

As is mentioned above, a map of lncRNAs information, revealed by two unique researches, also identified that two p53-dependent lncRNAs (lincRNA-p21 and PANDA) were significantly differentially expressed after HIV infection. PANDA was downregulation [3], while lincRNA-p21 was upregulation [4]. PANDA is an antisense lncRNA co-regulated together with CDKN1A by tumor suppressor protein p53, a promoter of CDKN1A, related to DNA damage activated [29]. Overexpression of PANDA inhibits apoptosis by binding to NF-YA and preventing NF-YA co-localization at promoter regions of apoptotic genes, suggesting that DNA damage activates p53-mediated transcription at CDKN1A and PANDA that functions synergistically to mediate cell cycle arrest and survival [29, 30]. LincRNA-p21 is a p53-induced large intergenic noncoding RNA, influences the p53 tumor suppressor pathway by acting in cis as a locus-restricted co-activator for p53-mediated p21 expression. Knockdown of lincRNA-p21 reduces the effect of apoptotic by p53 [31,32]. Whereas, recent researches suggests that HIV succeeds in inhibiting lincRNA-p21 and the p53 induced apoptotic pathway by activating the MAP2K1/ERK2 pathway, so as to better promote viral replication [33]. Thus, the results collectively suggest that p53 dependent apoptosis-related lncRNAs shows great relevance in HIV infection. These two effects were both closely related to promotion of apoptosis. Nevertheless, HIV replication requires the avoidance of the p53-apoptotic pathway, so there may be other kinds of pathway where HIV can suppress the p53 response.

Multifunctional role of lncRNA in HIV

infection (Table 1) Epigenetic modulators

Table 1: LncRNA functions in HIV-1 infection.

Functions Name Target mechanism References
Epigenetic modulators HIV-derived antisense DNMT3a, Form H3K9me2, H3K27me3, histone deacetylation and other heterochromatin; [35]
lncRNA HIV 5’LTR Suppress the activity of viral promoter and gene.
  NEAT1 paraspeckle Involve in HIV Rev-dependent nuclear export. [3]
Scaffolding/decoy regulator 7SK RNA 7SK RNP, Repress the kinase activity of CDK9; preventing recruitment of P-TEFb to the [31-41]
  P-TEFb HIV-1 promoter.
  NRON NFAT, Tat Regulate NFAT activity by changing its localization, prevent it binding to the [4,44,45]
  viral 5’LTR; Links Tat to the ubiquitin/ proteasome for degradation.

Much of the research in lncRNAs has indicated that viruses can modulate expression levels of host-derived lncRNAs during viral infection for host or viral gene regulation [3,4,25]. Conversely, viruses can also take advantage of their encoded lncRNAs to maintain latent or replication with complex regulatory mechanism [34,35]. An HIV-encoded antisense long non-coding RNA has been reported that epigenetically regulates viral transcription [35].

This lncRNA is located in the 5’LTR of HIV, which is the viral core promoter region, and interacted directly with DNA methyltransferase 3A (DNMT3a). Besides that, HIV-encoded antisense lncRNA recruit Histone Deacetylase(HDAC1), Histone Methyltransferases(EZH2) to viral 5’LTR to regulate the epigenetic state at the promoter region that form H3K9me2, H3K27me3, histone deacetylation and other heterochromatin thereby suppressing the activity of promoter and silencing subsequent viral gene transcription. Inhibition of this antisense lncRNA with small single stranded antisense RNAs (asRNAs) resulted in the activation of viral gene expression [35]. Thus, HIV-encoded antisense lncRNA modulate HIV gene expression by alternating the epigenetic landscape at the viral promoter that may contribute to latent infection.

Scaffolding/decoy regulator

NEAT1: NEAT1 RNA, whose full name is “nuclear paraspeckle assembly transcript 1”, is up-regulated following infection by HIV-1 [3], which is crucial to form nuclear structures termed paraspeckles [36]. The depletion of NEAT1 resulted in an increase in HIV-1 expression [3], and also led to obvious reduction in the number of paraspeckle bodies. In fact, NEAT1 has no effect on formation of RNA-binding proteins in the paraspeckle bodies, but change the distribution of core proteins, and thus influence the paraspeckles formation[37], suggesting that NEAT1 may act as a scaffolding molecule for recruiting nuclear proteins (p54nrb, PSF, and Matrin3, etc.) and enables the formation of the paraspeckles [38]. These three nuclear proteins (p54nrb, PSF, Matrin3) had been demonstrated to be involved in HIV Rev-dependent nuclear export of incompletely spliced viral RNAs containing cis-acting instability elements (INS) at the posttranscriptional level [3]. In other words, knockdown of NEAT1 increase nuclear cytoplasmic export and promote viral infections.

7SK RNA: 7SK RNA is an evolutionarily conserved small nuclear RNA (snRNA) with 331 bp [39]. As the definitions of length, 7SK RNA can be also defined as lncRNA. The same as a binding scaffold role, 7SK RNA was found to be associated with Cyclin T1, CDK9, HEXIM1, MEPCE, and LARP7 and formed 7SK RNP complexes [39-42]. In addition, as a specific Positive Transcription Elongation Factor B (P-TEFb) associated factor [40], 7SK RNA involved in HIV replication cycle by repressing the kinase activity of CDK9 [39], preventing recruitment of P-TEFb to the HIV-1 promoter [41]. Conversely, it doesn’t mean that the virus ignore the existence of this effect. The feedback is that HIV protein that not only attenuate the formation of 7SK RNP, but also has feature extraction function of Cyclin T1 and CDK9, consequently, activating the transcription of HIV proviral virus [41]. T-cell receptor signaling activates P-TEFb through ERK pathway or the PI3K/Akt pathway that would enhances Tat-dependent transcriptional elongation from latent HIV proviruses by releasing Cyclin T1/CDK9 from the 7SK RNP [42]. Hence, 7SK RNA may participate in establishment and maintenance of HIV latent infection by resting or activating CD4+ T cells through regulating 7SK RNP expression levels.

NRON: NRON, a long noncoding RNA with 2730 bp, known as a noncoding repressor of the Nuclear Factor of Activated T Cells (NFAT) [43], is significantly differential expression during HIV 1 infection that can participate in regulation of various physiologic functions in HIV-1 life cycle. NRON is decreased by the early viral accessory protein Nef and intriguingly increased by the HIV late protein Vpu [4].

Acting as a decoy role, NRON binds to multiple proteins, including Calmodulin-Binding Protein (IQGAP1), nuclear trans port factor (KPNB1), phosphatase (PPP2R1A), and the proteasome (PSMD11). NRON regulates NFAT activity by sequestering these aforementioned proteins, changing the subcellular localization of transcription factors NFAT, but not affect the transcription of the NFAT. NFAT can Promotes HIV transcriptional activity through its binding to the viral 5’LTR region. Depletion of NRON enhanced HIV-1 replication through increasing activity of NFAT and the viral LTR [44].

Furthermore, the latest research in the first half of 2016 indicated that NRON can also potently repress the viral transcription by decreasing the viral transactivator protein Tat. NRON directly links Tat to the ubiquitin/proteasome components, including cullin 4B (CUL4B) and PSMD11, thus accelerating Tat degradation. Knockdown of NRON, especially in combination with a HDAC inhibitor, remarkably reactivates the viral production from the HIV 1-latently infected primary CD4+ T lymphocytes [45]. Therefore, NRON may play a important role in HIV-1 latency maintenance as a decoy.

Perspective

LncRNA may play a crucial role in regulating HIV infection. Here, we focused our discussion on 6 lncRNAs in HIV infection that has given researchers some latest molecular insight into how lncRNAs affect key regulatory pathways in HIV (Figure 1).

Figure 1: Model for role of lncRNA in HIV infection. (a) LncRNA can work as an epigenetic modulator by recruiting chromatin modifying complexes to specific genomic loci to impart their catalytic activity. In this case, HIV-derived antisense lncRNA interacts directly with DNA methyltransferase 3A (DNMT3a) and recruits histone deacetylase (HDAC1), histone methyltransferases (EZH2) to viral 5’LTR to form H3K9me2, H3K27me3, and histone deacetylation, induce heterochromatin and repress the activity of promoter, then silence subsequent viral gene transcription [35]. (b) LncRNA can regulate the transcriptional process through acting as a scaffolding/decoy regulator. In that case, (1) LncRNA NEAT1 recruits nuclear proteins (p54nrb, PSF, and Matrin3, etc.) to form paraspeckles, and avoids these protein involving in HIV Rev-dependent nuclear export [3]. (2) LncRNA 7SK recruits Cyclin T1, CDK9, HEXIM1, MEPCE, and LARP7 to form 7SK RNP complexes, repressing the kinase activity of CDK9 [37], preventing recruitment of P-TEFb to the HIV-1 promoter [39-41] (3) LncRNA NRON regulates NFAT activity by working as a decoy that change the subcellular localization calmodulin-binding protein (IQGAP1), nuclear trans-port factor (KPNB1), phosphatase (PPP2R1A) and proteasome (PSMD11), the key factors of NFAT, avoiding NFAT promoting viral transcriptional activity. Additionally, NRON can link Tat to the ubiquitin/proteasome components cullin 4B (CUL4B) and PSMD11 to accelerate Tat degradation [4,44,45].

With the development of research, a growing number of differential expressed lncRNAs would be found that involved in the process of virus infection, regulation of the host immune response to the virus, and cell growth process. Furthermore, all of these lncRNAs can be served as potential targets for novel antiviral drugs [46]. Based on the research of lncRNAs, a novel perspective of the virus-host interactions will come into view and may bring some new revelations to AIDS gene therapy.

Acknowledgments

This work was supported by the National Natural Sciences Foundation of China (No. 81371790, 81641093, 81371422, 81571481 and 31170154), Major AIDS and Viral Hepatitis and Other Major Infectious Disease Prevention and Control project of China (2014ZX10001003), the Fundamental Research Funds for the Central Universities of China and the Translational Medical Research Fund of Wuhan University School of Medicine.

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Vital Role of Phylogenetic Analysis as Evidence in Illegal Investigation of Virus Transmission

During recent years phylogenetic analysis has become progressively popular as a tool for the criminal investigation of viral transmission, where it is used to derive the ancestral relationships of viral infections from sampled genome sequences. It has been used to cases involving the transmission of the fast-evolving human immunodeficiency virus (HIV) [1], Hepatitis B Virus (HBV) [2,3], hepatitis E (HEV) [4] and for tracking viral transmission in animal field. For example, for the first time phylogenetic analysis determined that the source of viral disease in aquaculture [5,6,7]. Aspects of the transmission of these viruses are impressed on the genetic variation of genomes [8]. These data revealed information about the patterns of virus emergence, viral epidemiology and evolutionary dynamics [9,8]. Analysis of molecular phylogenetic relationships must be based on a domain with a suitable level of evolution for the issue under investigation. Evaluation of recent transmission events requires the analysis of fast-evolving regions, whereas older events must be studied by sequencing more stable regions [2]. This analysis investigates small difference in virus genome using computational methods to calculate the variation between strains of viruses. This process is a critical complex scientific process which undertaken by virologist. The result of phylogenetic analysis has recently applied in illegal trials as evidence of responsibility for virus transmission [10]. In these events, the expert analysis of virologist has been discovered to be of critical importance. In the other hand, these trials can be applied to acquit individuals and keep out the possibility that defendant was responsible for virus transmission [10,11,8]. It is important to note that molecular analysis cannot prove the transmission virus between two individual, but it can support any information on the direction of that transmission [10,1]. It is necessary for molecular phylogenetic analysis to use the right comparison samples, because inappropriate samples could overstate the relationship between two viruses (of different geographical origin) as being conspicuously unique. In addition, many viruses frequently recombine and cause further opportunity for genetic novelty viral transmission from data commonly based on phylogenetic analysis [8]. Also, models of virus transmission and early diversification are the most important result of phylogenetic study. For example, Zika virus emerged in Africa and now circulates on all inhabited continents [12,13]. In another study demonstrated that isolated Dengue virus type 1 strain from Indonesia has a close phylogenetic relationship with strains of Japan [14]. In the recent decade, phylogenetic studies have matured with focus on the human RNA viruses such as influenza virus, HIV, dengue virus and HCV [8-10,15]. However, there are wide ranges of viruses to which phylogenetic analysis are used [9,16-18]. This review shortly outlines the importance of phylogenic analysis for viral transmission with focus on virus origin and shows phylogenetic approach to identify ecological and biological of virus transmission.

Maryam Dadar*


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Serosurveillance of Foot-and-Mouth Disease in Ruminant Population of Karnataka, India

Foot-and-Mouth Disease (FMD) is endemic in India and three serotypes viz, O, A, and Asia-1are prevalent in the country. In the current study a total of 7923 serum samples were collected randomly from 4639 cattle, 1363 buffaloe, 1187 sheep and 734 goats from different districts of Karnataka state, India. The samples were screened for antibodies against Non-Structural Proteins (NSPs) and Structural Proteins (SPs) of FMD virus to gather evidence with respect to the FMD virus circulation. The study revealed NSP antibodies in 33% bovines and 16% small ruminants. Higher level of NSP antibodies was observed in cattle (35%), buffaloes (27%), goats (23%) and lower prevalence in sheep (12%).The antibodies against SP was observed in 78% bovines and 18% small ruminants. The study reiterates the importance of strengthening of FMD surveillance in small ruminants as they could pose a potential risk of virus transmission to cattle.

Raveendra Hegde1*, Madhusudan Hosamani2 , Sreevatsava V1 , Rashmi KM1 , Srikanth Kowalli1 , K Nagaraja1 , NK Dharanesha1 , CM Seema1 , GV Nagaraj1 , K Srikala1 , KJ Sudharshana1 , SheshaRao1 , Rajashekar B1 , P Giridhara1 , and SM Byregowda1


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Discovery and Roles of Virus-Encoded RNA Silencing Suppressors

RNA silencing is a general surveillance system in plants and animals which could protect hosts from virus infection. However, many virus species survived by expressing a series of proteins named as RNA Silencing Suppressors (RSSRs) to counteract this defense system. This review elaborated the newly discovered RSSRs encoded by virus including the recently discovered polymerase slippage product and some newly-identified RSSRs in mammalian cells. This review will also provide a comprehensive understanding of the role of RSSRs during the virus infection, especially with regard to its newly identified function in epidemic modification in hosts.

Ma Lin*


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Zika and Its Preparedness in Nepalese Scenario

Zika virus came to known to public in 1947, when it was first isolated from a Rhesus monkey from Uganda [1-3]. Due to its unremitting spread in past decade, zika virus created havoc and gained its recognition as one of the prominent threat in public health across the globe [4-7]. In the March of 2015, Brazil confirmed its first zika infection. Following the zika cases, country had to face erupted increment in microcephaly cases [8]. In next nine month span, the cases of microcephaly increased from 150 cases to 400. After observing this trend, PAHO (Pan American Health Organization) issued an epidemiological alert on December 1st 2015, warning a suspected link between Zika and microcephaly [9].

Bishnu Prasad Upadhya1, Rajani Malla1, Krishna Das Manandhar1, Birendra Prasad Gupta2*, Anurag Adhikari2 , Ramanuj Rauniyar3, Chirik Shova Tamarkar4 , Bimlesh Kumar Jha5 and Roshan Kurmi6


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Long-Term Risk of Hepatocellular Carcinoma in Patients with Chronic Hepatitis B with Normal Alanine Aminotransferas

Background: The Alanine Aminotransferase (ALT) level is considered as a risk factor for the progression to liver cirrhosis and Hepatocellular Carcinoma (HCC) in patients infected with Hepatitis B Virus (HBV) and remains a subject of debate.

Methods: We prospectively compared the incidence of HCC between HBV infected patients with normal ALT and those with elevated ALT.

Result: A total of 378 HBV-infected patients (102 with normal ALT and 276 with elevated ALT) were included. The median follow-up period was 8.2 years. The incidence rates of HCC development were significantly lower in the normal ALT patients than in patients with elevated ALT (0.55 vs 2.20 per 100 person-years, P = 0.021, while the incidence rates of hepatic decompensation (0.43 vs 1.23 per 100 person-years) and survival (53.8% vs 47.4% at 10 years) did not significantly differ between the two groups (Kaplan-Meir analysis). The main causes of death were on-hepatic diseases in patients with normal ALT. Multivariate Cox analyses model revealed that the risk of HCC was lower in patients with normal ALT than in patients with elevated ALT (hazard ratio (HR), 0.28, Confidence intervals (CI) (0.14-0.78)), while the risk of hepatic decompensation and mortality was the same in the two groups of patients.

Conclusion: The risk for HCC and liver decompensation normal ALT was markedly reduced in HBV-patients with normal ALT. Aged patients with HBV with normal ALT should therefore maintain long-term surveillance for HCC. Future studies aimed to better identify those with remaining long-term risk for HCC are needed.

Blaise K Kutala1,2,3*, Emilie Estrabaud1 , Nathalie Boyer2,3, Corinne Castelnau³, Nathalie Giuily2,3, T Asselah1,3 and P Marcellin1,2,3


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Fungal Viruses: Promising Fundamental Research and Biological Control Agents of Fungi

Fungal viruses (mycoviruses) exist in all major groups of fungi. The primary focus of this review is viruses of filamentous fungi, especially plant pathogens, with emphasis on the molecular characterization of fungus-virus interactions. There are two main hypotheses about the origin of mycoviruses isolated from plant pathogenic fungi. The origin of these mycoviruses may be ancient but they may also have evolved from plant viruses. Many characterized mycoviruses are in unencapsidated dsRNA forms without any coat protein in fungi. Mycoviruses are efficiently spread in two ways, vertically by spore formation and horizontally via hyphal fusion. Replication cycle of RNA mycoviruses doesn’t have the extracellular route of infection under natural conditions. Typically, fungal infections cause no obvious phenotypic alterations. Although the interaction of mycoviruses and their host is largely limited, those aspects including the transcriptional profiling and RNA silencing are of help to understand the co-existence mechanism of virus and fungi. Mycoviruses are potential agents of biological control of important plant pathogenic fungi.

Shuangchao Wang1,2, Marc Ongena2 , Dewen Qiu1 and Lihua Guo1*