The term virus diagnosis and virus detection appear to be synonyms but diagnosis means the distinctive characterization in precise terms of a genus, species, or phenomenon. It is also the examination of the signs or symptoms, assessment of the research or test results and also the investigation of the assumed or probable causes. Effective cure is not possible without effective diagnosis. However, meaning of detection is to find out the virus. Accurate diagnosis is a prerequisite for the development of satisfactory measures to control a virus disease. Transfer of viruses, their hosts and vectors across borders has been knowingly or unknowingly facilitated by globalization of trade by free trade agreement (FTA) and the rapid climate change.
Yield losses of cultivated crops have been estimated to be 20%-40% due to biotic stresses
Savary et al., (2012). Diseases are induced in crops mainly during their growth period, harvesting and post-harvesting time period. These damages can be decreased by applying detection and diagnosis techniques. To manage the crop loss by plant pathogen, diagnosis plays the key role
(van der Want and Dijkstra, 2006). This is the very first step in the crop management system
Aboul Ata et al., (2011).
Like other pathogens, plant viruses cause a huge loss to economy
(Agrios, 2005;
Strange, 2005). Viruses hold second rank after fungi in the list of most important plant pathogens. The damage caused by viruses depends on virus strain, region, host plant variety and also the time of infection so it is very difficult to predict and assess the actual loss
(Strange, 2005). Major symptoms of viral diseases include stunting, mosaic, streaking, necrosis, mottling, wilting, leaf curling and distortion
etc. Sometimes viruses may not produce any visible symptoms as many virus infections are latent and symptomless. In addition to this, when plants respond to un-favourable weather, nutritional imbalances, damage caused by abiotic factors and other pathogenic infections, viral symptoms may not be readily observed
(van der Want and Dijkstra, 2006). It is very difficult to diagnose the viral disease only by studying the symptoms as compare to other pathogens
(Lievens et al., 2005).
The plant viruses are very small as compared to fungi and bacteria and generally cannot be observed under light microscope. Transmission electron microscope (TEM) is used to observe them. Viruses are composed of some coat proteins and either DNA or RNA as genetic material.
Tobacco mosaic virus (TMV) was the very first virus that was recognized over a century ago, after that 1000s of plant viruses came into know
(King, 2011).
The management of viral diseases based on direct methods for their control, such as the use of virucides, has not been developed to date unlike other pathogens. Therefore, viral diseases can be fought with indirect strategies, such as killing insect vector, eliminating diseased plants, or avoiding the planting of infected seeds. Because of this, the methods to detect and identify viruses are crucial for handling viral diseases. So the detection methods must be convenient, effective, specific and quick as possible
Joo-Jin et al. (2014). The methods for detecting and identifying viruses are challenging in viral disease management
Aboul Ata et al. (2011).
Previously the research methods were usually based on symptom advancement infected plants or biological indexing. However the diagnosis based on symptom is not well-founded because symptoms may vary depending on the virus strain, presence of any mixed viral infections, the variety and growth stage, growing climate and sometimes, the viral symptoms are similar to those induced by the environmental injury. However the biological methods are widely used assays among other diagnostic techniques for plant viruses. It is because of their simplicity and they do not require special knowledge or mastership
(Jones, 1993;
Naidua and Hughes, 2001).
To detect plant viruses enough methods have been developed, such as microscopically observation, serological techniques and molecular methods
(Webster et al., 2004; Makkouk and Kumari, 2006,
Lopez et al., 2009). The methods of assay, detection and diagnosis were divided into four groups, which depends upon the virus properties
i.
e. biological activities of virus particle, physical properties of the virus particle, properties of viral proteins and properties of the viral nucleic acid
(Koenig and Lesemann, 2008). Among them a number of methods for the diagnosis of plant viral diseases are briefly introduced in this review.
Methods based on biological activities
The biological methods of diagnosis are very time consuming than other applicable methods even though, they are still useful because infective analysis can give us ideas of the application of viable virus particle. Even in most cases only inoculation into an appropriate host can resolve that the virus can cause mild disease or severe disease. Although this group have many limitations also, specifically when used in new viruses. Here we are summarizing some of the biological methods used for plant virus diagnosis.
Indicator host
Symptoms of disease on plants in the field are not sufficient to give positive identifications of their own. Now-a-days in plant virology searches are there for the suitable species of the host plant that can give the clear-cut identification and characteristics for the virus and virus being studied. These plants acts as indicator host and provide basic tool for the virus diagnosis. There are very good indicator host varieties found in genera
Nicotiana,
Solanum,
Chenopodium,
Cucumis,
Phaseolus,
Vicia and
Brassica. Approximately 200 species were tested and accession of tobacco to find the useful indicator plants van
Dijk et al., (1987). These methods are important for epidemiological studies.
Host range
In earlier research on plant viruses, host range was the important criteria in diagnosis. This method still has importance because of its information used in certain circumstances. Sometimes host range is more important than other tests. R
aspberry bushy dwarf virus (RBDV) is a very good example of this method
(Murant et al., 1986). Ali et al., (2009) mechanically inoculated the extracts from
Tobacco steak virus (TSV) infected bean leaves on to
Nicotiana benthamiana and
Chenopodium quinoa which found an appropriate host for TSV.
Cytological studies
Cytological effects detectable by light microscopy can sometimes be used to supplement macroscopic symptoms in diagnosis. Researchers
(Christie and Edwardson, 1986) provided an elaborated catalog of virus-induced inclusions and discussed the problems involved and also
Edwardson et al., (1993) reviewed this approach for the diagnosis
of viruses.
However electron microscopy of thin sections is necessary for some types of inclusion to provide information for use in diagnosis. There were nine virus groups that induce inclusions which are diagnostic for the group
(Hamilton et al., 1981). Presence of characteristic inclusions may be diagnostic for a particular virus when a specific host plant is involved, for example, the
Citrus tristeza virus (CTV) in citrus trees
(Brlansky, 1987). Individual strains of a virus may produce distinctive cytological effects, as occurs with
Cauliflower mosaic virus (CaMV);
Shalla et al., (1980).
Methods based on physical properties of the virus
Density of virus, dilution end point and electrophoretic mobility are the physical properties of a virus which were taken to be a measure of infectivity of the virus in sap extract was previously used to detect plant viruses. Earlier the viruses within a group, for the
Cucumovirus group and for
Pea enation mosaic virus (PEMV) were distinguished through electrophoretic mobility
(Hanada, 1984;
Hull, 1977). However, these properties are unreliable and no longer used to detect the virus.
Methods based on properties of viral protein
There are some advanced serological techniques which made the diagnosis process easier and more sensitive with low cost and also target at viral proteins. These serological methods of diagnosis, detection and identification of viruses in plants play a vital role so here we are explaining some of them.
Enzyme Linked Immunosorbent assay (ELISA)
ELISA has greatly improved the accuracy of plant virus detection
(Clark and Adams, 1977). This technique was used first time during 1970s and is still the most widely used serological technique due to its high efficiency. Very minute amount of antibody is required for the detection of disease and the process can be semi-automated. Common ELISAs are performed in polystyrene plate capable of binding antibodies or proteins with association of the enzyme-substrate reaction. Level of infection is measured based on the optical density of ELISA reaction
Webster et al., (2004). Lots of viruses has been detected using this technique including
Cucumber mosaic virus (CMV), CTV,
Potato leaf roll virus (PLRV),
Potatovirus ´ (PV´) and
Potato virus Y (PVY)
(Sun et al., 2001; El-Araby et al., 2009).
Tissue blot immunobinding assay (TBIA)
TBIA is another serological method for the diagnosis of plant viruses. Lin was first who described the assay and performed for the useful detection of virus over whole plant
(La et al., 1999, Lin et al., 1990, Abad and Moyer, 1992). In this technique the freshly cut tissue surface on nitrocellulose membranes and then the tissue blots were made by pressing with a gentle force. Present antigen was then detected by enzyme labeled immunological probes
(Fegla et al., 2001). The major advantage of this test was the elimination of sap extraction, which is the most time consuming step in all previous techniques. In addition, once the plant tissue is blotted on the nitrocellulose membrane, the test can be completed either few days or few months later. A number of viral diseases are diagnosed by this technique which were caused by
Bamboo mosaic virus (BoMV),
Bean yellow mosaic virus (BYMV), CTV,
Cymbidium mosaic virus (CyMV),
Papaya ringspot virus (PRSV),
Sweet potato feathery mottle virus (SPFMV) and
Tomato spotted wilt virus (TSWV)
(Bove et al., 1988, Eid et al., 2008, Hancevic et al., 2012, Lin et al., 1990, Makkouk and Kumari, 2006,
Shang et al., 2011, Webster et al., 2004).
Quartz crystal microbalance immunosensors (QCMI)
The QCMI measures the mass based on vibrations and frequency change in real time and is a noveltechnique for plant virus detection. The detection instrument for QCM is portable and QCM coated with virus-specific antibodies which detect plant viruses has long life span, hence can be used for
in situ detection of plant viruses
(Eun et al., 2002, Becker and Cooper, 2011). This technique was reported successful for the detection of CyMV, TMV and
Turnip yellow mosaic virus (TYMV)
(Eun et al., 2002; Becker and cooper, 2011,
Dickert et al., 2004; Zan et al., 2012).
Methods based on viral nucleic acid
The properties of a viral nucleic acid, such as whether it is DNA or RNA, double stranded or single stranded, or consists of one or more pieces, are main points for assigning an unknown virus to a particular family or group. Diagnosis based on viral nucleic acids is more sensitive and specific than serological and any other methods. Here we are summarizing some frequently and recently used methods.
Polymerase chain reaction (PCR)
PCR method was developed in 1990 for virus detection and offered the user exquisite levels of specificity and sensitivity
(Vunsh, 1990). PCR is processed by the specificity of the primers proceeded with three steps, denaturation at 94°C, annealing of primers at 50-75°C (depend on primers) and elongation at 72°C
(McCartney et al., 2003,
Makkouk and Kumari, 2006). The amplified DNA fragments separated by agarose gel electrophoresis and the bands are visualized by staining with ethidium bromide and irradiation with ultraviolet light.
The above procedure work well for DNA viruses but for RNA viruses Reverse Transcription PCR (RT-PCR) is used for the detection, which requires reverse transcriptase enzyme before the regular PCR step
(Webster et al., 2004; Lopez et al., 2009). It has been developed and employed to detect many viruses such as PVX, PLRV and
Potato virus S (PVS) in stem or seeds of potato
(Ham, 2003;
Peiman and Xie, 2006;
Peter et al., 2009, Drygin et al., 2012). In addition, RT-PCR was used for quarantine purpose to detect plant RNA viruses such as
Cucumber vein yellowing virus (CVYV),
Cucurbit yellow stunting disorder virus (CYSDV),
Potato aucuba mosaic virus (PAMV),
Potato yellow dwarf virus (PYDV) and
Tomato chlorosis virus (ToCV)
(Lee et al., 2011).
Real time PCR
Research workers welcomed the idea of the ability to visualize the progress of amplification in a quantitative manner
(Lomeli et al., 1989). This approach leads to the foundation of “real-time” PCR. Real-time PCR was developed as one of the technical methods to detect the amplification products of PCR in real-time and also authorize accurate quantification of PCR products
(McCartney et al., 2003; Ruiz
Ruiz et al., 2009). Real-time PCR can be previously reduced detection time and can also be used for small concentration of target gene making possible to diagnose
(Lopez et al., 2009; Heid et al., 2011) because there is no need of gel electrophoresis for the confirmation.
Real-time PCR has been increasingly used because this method has been showed valuable detection for plant viruses
McCartney et al. (2003).
Hasiow et al., (2008) detected and diagnosed
Pepino mosaic virus (PepMV) member of
Potex virus genus in tomato by using real time PCR.
Multiplex PCR
Multiplex PCR used multiple gene-specific primer sets within a single PCR mixture and can simultaneously detect two or more products in a single reaction. Therefore, the method is cost effective when two or more viruses are present in a single host plant
(Lopez et al., 2009). The compatibility of the designed primers must be visualized experimentally. Multiplex PCR was proposed to enable simultaneous detection of different DNA or RNA by running a single reaction
(James, 1999;
Williams et al., 1999). This method required several specific primers to detect over two viruses
(Singh et al., 2000; Menzel et al., 2002; Li et al., 2011; Qu et al., 2011). There are several examples reported of simultaneous detection of viruses and also other plant pathogens in one host
Singh et al., (2000). A multiplex PCR had been developed for instantaneous and sensitive detection of the viruses like CMV,
Cherry leaf roll virus (CLRV),
Strawberry latent ringspot virus (SLRSV) and
Arabis mosaic virus (ArMV) in a single compartmentalized tube. The many major characterized viruses were simultaneously detected at diseased apple trees through multiplex-PCR
(Menzel et al., 2002).
Loop mediated isothermal amplification (LAMP)
The LAMP technique is one of the most sensitive novel gene detection methods that amplify nucleic acids with high specificity, efficiency and rapidity under isothermal conditions
(Notomi et al., 2000). It is cost effective and user-friendly which can carry out in a simple laboratory water bath or heat block. LAMP detects the viral amplicons using photometry for solution turbidity
(Mori et al., 2001). By adding SYBR Green; a colour change can be seen without equipment. This technique was performed at a constant temperature for one hour using the four primers
(Notomi et al., 2000). The specificity of LAMP is due to the recognition of six distinct sequences by four specifically designed primers.
Plant viruses such as
Plum pox virus (PPV) can be detected by LAMP
(Varga and James, 2006). The RT-LAMP has been developed for simple monitoring of RNA viruses including PVY and PLRV
(Nie, 2005;
Ju, 2011) and many other RNA viruses
(Liu et al., 2010; Almasi et al., 2013; Shen et al., 2014; Keizerweerd et al., 2015).
Nucleic acid sequence based amplification (NASBA)
NASBA is commonly used to amplify RNA sequences. In the early 1990s this technique was developed for continuous amplification of nucleic acids in a single mixture at a single temperature
(Compton, 1991). As compared to conventional PCR it works at isothermal condition instead of thermal cycling
(Vaskova et al., 2004). The entire process was carried out at 41°C for 60 min and visualized a real-time assay using molecular beacons
Lopez et al., (2009).
Real-time NASBA has been applied to detect plant viruses including
Strawberry vein banding virus (SVBV),
Apple stem pitting virus (ASPV) and PPV
(Vaskova et al., 2004; Klerks et al., 2001; Olmos et al., 2007; Leone et al., 1997).
Rolling circle amplification (RCA)
The DNA viruses with small single stranded circular genomes the RCA can be used
Haible et al., (2006). This technique uses the bacteriophage Φ29 DNA polymerase. RCA is based on the rolling replication of short single-stranded DNA (ssDNA) circular molecules
(Fire and Xu, 1995;
Lizardi et al., 1998; Najafzadeh et al., 2013) by adding DNA polymerases at a constant temperature, which only requires a simple platform, such as heating blocks or a water bath
(Tsui et al., 2011).
This technique has been used to detect various geminiviruses some of them are listed here:
Abutilon mosaic virus (AbMV),
Tomato yellow leaf curl Thailand virus (ToYLCTV),
Chilli leaf curl virus (ChiLCV),
Alfaalfa leaf curl virus (ALCV),
Wheat dwarf virus (WDV)
(Fischer et al., 2015; Knierim et al., 2007; Nehra and Gaur, 2015;
Parizipour et al., 2017).
Microarray
Microarray is the advanced form of the southern blotting technique. In oligonucleotide array oligochips are used which are composed of thousands of specific probes spotted onto a solid surface like a glass plate
(Lopez et al., 2009). Synthesized ssDNA probes with about 25 bp to 70 bp nucleotides are hybridized with the virus extracted from plant
(Lee et al., 2003; Wang et al., 2002; Wang et al., 2003). Main drawback of this technique is cost since it requires the highly sophisticated processing machine for spotting probes and reading reactions and also needs dust-free room
(Wang et al., 2002). The other problem is construction of oligonucleotide to be hybridized to target DNAs in terms of specificity and sensitivity
(Dugat Bony et al., 2012). Because of these problems, it has not been widely used and is still under research phase.
Some trials to use this method can be found because it is able to detect both known and unknown sequences in environmental samples, resulted in identifying unknown viruses by Oligo-chip
(Boonham et al., 2002; Dugat
Bony et al., 2012; Schena et al., 1995; Nam et al., 2014). This method was used for detection of potato viruses such as
Potato virus A (PVA),
Potato virus M (PVM), PVS, PVX, PVY and PLRV and cucurbit-infecting plant viruses
(Lee et al., 2003; Bystricka et al., 2005).