A Review Paper on Plant Virus Detection Methods

Authors

  • Loveleen Arora Assistant Professor School of Bio Sciences, RIMT University, Mandi Gobindgarh, Punjab, India Author
  • Kausar Fatima Assistant Professor School of Bio Sciences, RIMT University, Mandi Gobindgarh, Punjab, India Author

DOI:

https://doi.org/10.55524/

Keywords:

DNA, Detection, Disease, ELISA, Pathogen, RNA, Virus

Abstract

Because fast changing climate facilitates the  movement of viruses as well as their hosts, also vectors, from  one nation or region to another, early and correct  identification of plant viruses is critical to their management.  The diagnosis of viral diseases is becoming increasingly  crucial. So because indications of viral infections are not  always distinct and might be mistaken with those of abiotic  stressors, a suggestive diagnosis may not be the best  approach. Agriculture is vital to every country's economy,  and bacteria, fungus, and viruses represent a major danger to  crops. Viruses, unlike any other ailment, are to blame for a  significant share of the reduction in agricultural production.  A variety of diagnostic procedures can be used to identify  these viruses. There are direct and indirect solutions to this  problem, each with its own set of benefits and drawbacks.  The infection of the causative pathogen can be used to create  diagnostic procedures. Observation of signals in indicator  crops, electron microscopy, or serological techniques  including such enzyme-linked Immunosorbent Assay have  all been sometimes used identify virus in plants. They can be  used to identify the best timing to start utilizing ELISA or  PCR assays to detect plant viruses. Plant viruses can be  recognized and treated if found early enough, result in a  virus-free crop in the future. These techniques (ELISA or  PCR) will become the future standards in diagnostics as the  cost of these techniques (ELISA or PCR) decreases. 

Downloads

Download data is not yet available.

References

Solanki MS, Sharma DKP, Goswami L, Sikka R, Anand V. Automatic Identification of Temples in Digital Images through Scale Invariant Feature Transform. In: 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020. 2020.

Prakash P, Radha, Kumar M, Pundir A, Puri S, Prakash S, et al. Documentation of commonly used ethnoveterinary medicines from wild plants of the high mountains in shimla district, himachal pradesh, india. Horticulturae. 2021;

Agarwal S, Agarwal A, Chandak S. Role of placenta accreta index in prediction of morbidly adherent placenta: A reliability study. Ultrasound. 2021;

Bishnoi S, Huda N, Islam SMU, Pant A, Agarwal S, Dholariya R. Association between psychological status and functional outcome in surgically managed fractures around hip in geriatric patients-a prospective study. Malaysian Orthop J. 2021;

Keshav K, Kumar A, Sharma P, Baghel A, Mishra P, Huda N. How Much has COVID-19 Pandemic Affected Indian

Orthopaedic Practice? Results of an Online Survey. Indian J Orthop. 2020;

Jeong, Joojin, Ju H, Jaejong N-. A Review of Detection Methods for the Plant Viruses. Korea Sci. 2014;

Ramos Meza CS, Bashir S, Jain V, Aziz S, Raza Shah SA, Shabbir MS, et al. The Economic Consequences of the Loan Guarantees and Firm’s Performance: A Moderate Role of Corporate Social Responsibility. Glob Bus Rev. 2021;

Mehra A, Paul J, Kaurav RPS. Determinants of mobile apps adoption among young adults: theoretical extension and analysis. J Mark Commun. 2021;

Hatim M, Siddiqui F, Kumar R. Addressing challenges and demands of intelligent seasonal rainfall forecasting using artificial intelligence approach. In: Proceedings of International Conference on Computation, Automation and Knowledge Management, ICCAKM 2020. 2020.

Akhtar M, Mittal RK. Enterprise performance management and flexibility: Factors of effectiveness in upstream oil industry in india. Glob J Flex Syst Manag. 2010;

Khan G, Gola KK, Ali W. Energy Efficient Routing Algorithm for UWSN - A Clustering Approach. In: Proceedings - 2015 2nd IEEE International Conference on Advances in Computing and Communication Engineering, ICACCE 2015. 2015.

Garg N, Jain AK, Ansari A, Sharma A, Singh J, Chugh T. Dimorphism of maxillary and mandibular canine teeth in establishing sex identity. Indian J Forensic Med Toxicol. 2012;

Agrawal T, Agrawal AK, Singh SK. An efficient key accumulation cryptosystem for cloud. Int J Eng Adv Technol. 2019;

María M. López, Edson Bertolini, Antonio Olmos, Paola Caruso, María Teresa Gorris, Pablo Llop RP& MC. Innovative tools for detection of plant pathogenic viruses and bacteria. Springer link. 2003;

Norman W. Schaad &Reid D. Frederick. Real-time PCR and its application for rapid plant disease diagnostics. Can J Plant Pathol. 2010;

Tomato Diseases: How to Identify and Treat Tomato Spotted Wilt Virus.

17. Haramoto E, Kitajima M, Hata A, Torrey JR, Masago Y, Sano D, et al. A review on recent progress in the detection methods and prevalence of human enteric viruses in water. Water Res. 2018;135:168–86.

18. Hataya T, Inoue AK, Shikata E. A PCR-microplate hybridization method for plant virus detection. J Virol Methods. 1994;46(2):223–36.

19. Shepherd SAG and RJ. A Sensitive Radioimmunosorbent Assay for the Detection of Plant Viruses. Microbiol Soc. 1980; [20] 20. Kumar S, Kumar A, Khan MM. Estimation of Aldose Reductase Activity and Malondialdehyde Levels in patients

with Type 2 Diabetes Mellitus. Biomed Pharmacol J. 2019; [21] 21. Goyal AK, Singh R, Chauhan G, Rath G. Non-invasive systemic drug delivery through mucosal routes. Artificial Cells, Nanomedicine and Biotechnology. 2018.

22. Burns R. Plant pathology. Techniques and protocols. Preface. Methods Mol Biol. 2009;508:183–92.

Boonham N, Tomlinson J, Mumford R. Microarrays for rapid identification of plant viruses. Annu Rev Phytopathol. 2008;45:307–28.

Caruso P, Bertolini E, Cambra M, López MM. A new and sensitive Co-operational polymerase chain reaction for rapid detection of Ralstonia solanacearum in water. J Microbiol Methods. 2003;55(1):257–72.

Adkar-Purushothama CR, Maheshwar PK, Sano T, Janardhana GR. A sensitive and reliable RT-nested PCR assay for detection of citrus tristeza virus from naturally infected Citrus plants. Curr Microbiol. 2011;62(5):1455–9.

Downloads

Published

2022-03-30

How to Cite

A Review Paper on Plant Virus Detection Methods . (2022). International Journal of Innovative Research in Computer Science & Technology, 10(2), 106–110. https://doi.org/10.55524/