Research Articles
Vol. 13 No. sp1 (2026): Recent Advances in Agriculture
Evolutionary dynamics and recombination patterns in begomoviruses infecting Abelmoschus esculentus: A phylogenetic and population structure analysis
Department of Botany, Central University of Jammu, Jammu 181 143, India
Department of Botany, Central University of Jammu, Jammu 181 143, India
Department of Agricultural Sciences, DAV University, Jalandhar 144 012, India
Department of Botany, Central University of Jammu, Jammu 181 143, India
Abstract
Okra (Abelmoschus esculentus (L.) Moench) is a major vegetable crop cultivated globally, particularly in India and Nigeria, but it is highly susceptible to begomovirus infections transmitted by the whitefly (Bemisia tabaci). The predominant virus, Bhendi yellow vein mosaic virus (BYVMV), along with related viruses such as Bhendi yellow vein India virus (BYVIV), Tomato leaf curl New Delhi virus (ToLCNDV), Okra leaf curl virus (OkLCuV) and Okra mosaic virus (OMV), causes severe yield losses. This study examines the genetic diversity and recombination patterns of begomoviruses infecting okra using 94 viral genome sequences (DNA-A, DNA-B and betasatellites) retrieved from public databases. Phylogenetic analysis revealed distinct viral clades, while nucleotide substitution analysis showed that transitions occurred more frequently than transversions. Recombination analysis identified several breakpoints in the replication (Rep) and coat protein (CP) genes, with 29 and 11 breakpoints, respectively. Genetic diversity parameters showed high variation, with nucleotide diversity values of 0.13025 for DNA-A, 0.20899 for DNA-B and 0.10672 for betasatellites. The AC1 gene exhibited the highest mutation rate. Haplotype analysis identified 50 haplotypes for DNA-A, 8 for DNA-B and 36 for betasatellites, with DNA-A and betasatellites showing nearly complete haplotype diversity. Neutrality tests suggested selective pressure on the virus populations, possibly due to population expansion or purifying selection. These findings enhance understanding of begomovirus evolution and underscore the need for continuous monitoring and management of viral diseases in okra cultivation.
References
- 1. Sandeep N, Dushyanthakumar BM, Sridhara S, Dasaiah L, Mahadevappa Satish K, El-Shehawi AM, et al. Characterization of okra species, their hybrids and crossability relationships among Abelmoschus species of the Western Ghats region. Horticulturae. 2022;8:587. https://doi.org/10.3390/horticulturae8070587
- 2. Sorapong B. Okra (Abelmoschus esculentus (L.) Moench) as a valuable vegetable of the world. Ratar Povrt. 2012;49:105-12. https://doi.org/10.5937/ratpov49-1172
- 3. Schafleitner R, Lin CY, Lin YP, Wu TH, Hung CH, Phooi CL, et al. The World Vegetable Center okra (Abelmoschus esculentus) core collection as a source for flooding stress tolerance traits for breeding. Agric. 2021;11:1-13. https://doi.org/10.3390/agriculture11020165
- 4. Khan S, Rafi Z, Baker A, Shoaib A, Alkhathami AG, Asiri M, et al. Phytochemical screening, nutritional value, anti-diabetic, anti-cancer and anti-bacterial assessment of aqueous extract from Abelmoschus esculentus pods. Processes. 2022;10. https://doi.org/10.3390/pr10020183
- 5. Kumar Chanchal D, Alok S, Kumar M, Kumar Bijauliya R, Rashi S, Gupta S. A brief review on Abelmoschus esculentus Linn. okra. Int J Pharm Sci Res. 2018;9:58-66. https://doi.org/10.13040/IJPSR.0975-8232.9(1).58-66
- 6. Roy A, Shrivastava SL, Mandal SM. Functional properties of okra Abelmoschus esculentus L. (Moench): Traditional claims and scientific evidences. Plant Sci Today. 2014;1:121-30. https://doi.org/10.14719/pst.2014.1.3.63
- 7. Elkhalifa AEO, Alshammari E, Adnan M, Alcantara JC, Awadelkareem AM, Eltoum NE, et al. Okra (Abelmoschus esculentus) as a potential dietary medicine with nutraceutical importance for sustainable health applications. Molecules. 2021;26:696. https://doi.org/10.3390/molecules26030696
- 8. Dantas TL, Alonso Buriti FC, Florentino ER. Okra (Abelmoschus esculentus L.) as a potential functional food source of mucilage and bioactive compounds with technological applications and health benefits. Plants. 2021;10:1683. https://doi.org/10.3390/plants10081683
- 9. Kumar A, Verma JP. Does plant–microbe interaction confer stress tolerance in plants: A review? Microbiol Res. 2018;207:41-52. https://doi.org/10.1016/j.micres.2017.11.004
- 10. Mishra GP, Singh B, Seth T, Singh AK, Halder J, Krishnan N, et al. Biotechnological advancements and begomovirus management in okra (Abelmoschus esculentus L.): Status and perspectives. Front Plant Sci. 2017;8. https://doi.org/10.3389/fpls.2017.00360
- 11. Nigam D. Genomic variation and diversification in begomovirus genome in implication to host and vector adaptation. Plants. 2021;10. https://doi.org/10.3390/plants10081706
- 12. Santhiya S, Yadav RK, Lata S, Sharma BB, Talukdar A, Ghosh A, et al. Screening of wild okra (Abelmoschus esculentus) against yellow vein mosaic and enation leaf curl diseases. Indian J Agric Sci. 2022;92:1268-73. https://doi.org/10.56093/ijas.v92i10.125710
- 13. Singh G, Pathak M, Sharma A. Identification of novel sources of yellow vein mosaic disease resistance in okra (Abelmoschus esculentus L. Moench). Euphytica. 2023;219:111. https://doi.org/10.1007/s10681-023-03242-w
- 14. Fiallo-Olivé E, Navas-Castillo J. Molecular and biological characterization of a New World mono-/bipartite begomovirus/deltasatellite complex infecting Corchorus siliquosus. Front Microbiol. 2020;11. https://doi.org/10.3389/fmicb.2020.01755
- 15. Seal SE, vandenBosch F, Jeger MJ. Factors influencing begomovirus evolution and their increasing global significance: implications for sustainable control. CRC Crit Rev Plant Sci. 2006;25:23-46. https://doi.org/10.1080/07352680500365257
- 16. Gilbertson RL, Batuman O, Webster CG, Adkins S. Role of the insect supervectors Bemisia tabaci and Frankliniella occidentalis in the emergence and global spread of plant viruses. Annu Rev Virol. 2015;2:67-93. https://doi.org/10.1146/annurev-virology-031413-085410
- 17. Fiallo-Olivé E, Navas-Castillo J. Begomoviruses: What is the secret(s) of their success? Trends Plant Sci. 2023;28:715-27. https://doi.org/10.1016/j.tplants.2023.01.012
- 18. Pandey V, Srivastava A, Gaur RK. Begomovirus: A curse for the agricultural crops. Arch Phytopathol Plant Prot. 2021;54:949-78. https://doi.org/10.1080/03235408.2020.1868909
- 19. Malathi VG, Renukadevi P, Chakraborty S, Biswas KK, Roy A, Sivalingam PN, et al. Begomoviruses and their satellites occurring in India: Distribution, diversity and pathogenesis. In: A century of plant virology in India. Singapore: Springer; 2017. p. 75-177. https://doi.org/10.1007/978-981-10-5672-7_5
- 20. Zhou X. Advances in understanding begomovirus satellites. Annu Rev Phytopathol. 2013;51:357-81. https://doi.org/10.1146/annurev-phyto-082712-102234
- 21. Briddon RW, Martin DP, Roumagnac P, Navas-Castillo J, Fiallo-Olivé E, Moriones E, et al. Alphasatellitidae: A new family with two subfamilies for the classification of geminivirus and nanovirus associated alphasatellites. Arch Virol. 2018;163:2587-600. https://doi.org/10.1007/s00705-018-3854-2
- 22. Briddon RW, Bull SE, Amin I, Idris AM, Mansoor S, Bedford ID, et al. Diversity of DNA β, a satellite molecule associated with some monopartite begomoviruses. Virology. 2003;312:106-21. https://doi.org/10.1016/S0042-6822(03)00200-9
- 23. Kumar S, Stecher G, Li M, Knyaz C, Tamura K. MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol. 2018;35:1547-9. https://doi.org/10.1093/molbev/msy096
- 24. Tamura K, Stecher G, Kumar S. MEGA11: Molecular evolutionary genetics analysis version 11. Mol Biol Evol. 2021;38:3022-7. https://doi.org/10.1093/molbev/msab120
- 25. Vrieze SI. Model selection and psychological theory: A discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). Psychol Methods. 2012;17:228-43. https://doi.org/10.1037/a0027127
- 26. Saitou N, Tadashi I. Relative efficiencies of the Fitch-Margoliash, maximum-parsimony, maximum-likelihood, minimum-evolution, and neighbor-joining methods of phylogenetic tree construction in obtaining the correct tree. Mol Biol Evol. 1989. https://doi.org/10.1093/oxfordjournals.molbev.a040572
- 27. Jafari M, Ansari-Pour N. Why, when and how to adjust your P values? Cell J. 2019;20:604-7. https://doi.org/10.22074/cellj.2019.5992
- 28. Martin DP, Murrell B, Golden M, Khoosal A, Muhire B. RDP4: Detection and analysis of recombination patterns in virus genomes. Virus Evol. 2015;1. https://doi.org/10.1093/ve/vev003
- 29. Mishra M, Verma RK, Marwal A, Sharma P, Gaur RK. Biology and interaction of the natural occurrence of distinct monopartite begomoviruses associated with satellites in Capsicum annum from India. Front Microbiol. 2020;11. https://doi.org/10.3389/fmicb.2020.512957
- 30. Watterson GA. On the number of segregating sites in genetical models without recombination. Theor Popul Biol. 1975;7:256-76. https://doi.org/10.1016/0040-5809(75)90020-9
- 31. Rozas J, Ferrer-Mata A, Sanchez-DelBarrio JC, Guirao-Rico S, Librado P, Ramos-Onsins SE, et al. DnaSP 6: DNA sequence polymorphism analysis of large data sets. Mol Biol Evol. 2017;34:3299-302. https://doi.org/10.1093/molbev/msx248
- 32. Tajima F. Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics. 1989;123:585-95. https://doi.org/10.1093/genetics/123.3.585
- 33. Li H. A new test for detecting recent positive selection that is free from the confounding impacts of demography. Mol Biol Evol. 2011;28:365-75. https://doi.org/10.1093/molbev/msq211
Downloads
Download data is not yet available.