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Molecular characterization of two highly divergent Iranian johnsongrass mosaic virus isolates from Zea mays

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Abstract

Iranian johnsongrass mosaic virus (IJMV, genus Potyvirus, family Potyviridae) is one of the most prevalent viruses causing maize mosaic disease in Iran. In this study, the complete genomes (9,618 and 9,543 nucleotides) of two highly divergent IJMV isolates (Maz2 and Maz3) were obtained from the metagenomic analysis of Zea mays RNAs using Illumina sequencing. The genome contained a single open reading frame (9,165 nucleotides) encoding a polyprotein of 3,054 amino acids, flanked by a 5′-untranslated region (UTR) of 216 and 143 nucleotides and a 3′-UTR of 237 and 235 nucleotides. A comparative analysis of the complete genome showed that IJMV-Maz2 and Maz3 had 85.99% nucleotide and 94.56% amino acid sequence identity with each other and shared 84.87–88.74% nt and 94.24–96.17% aa identity with those of two other IJMV isolates available in the GenBank. The coat protein of Maz2 and Maz3 showed 86.40–95.72% nt sequence identity (90.79–97.70% aa identity) to 12 other IJMV isolates available in GenBank. Our results indicated a relatively stable and conserved genomic composition with a low codon usage bias in all of the assayed IJMV coding sequences. Analysis of various population genetics parameters and distribution of synonymous and nonsynonymous mutations revealed that purifying selection pressure was the major force acting upon the IJMV genome. The outcome of the study provides valuable insights on the evolution of IJMV genome, for which there are few genome sequences available, and informs the current breeding efforts towards resistance for IJMV.

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References

  1. Adams MJ, Antoniw JF, Beaudoin F. Overview and analysis of the polyprotein cleavage sites in the family Potyviridae. Mol Plant Pathol. 2005;6:471–87.

    Google Scholar 

  2. Adams MJ, Antoniw JF, Fauquet CM. Molecular criteria for genus and species discrimination within the family Potyviridae. Arch Virol. 2005;150:459–79.

    Google Scholar 

  3. Bennetzen JL, Hall BD. Codon selection in yeast. J Biol Chem. 1982;257:3026–31.

    Google Scholar 

  4. Biswas KK, Palchoudhury S, Chakraborty P, Bhattacharyya UK, Ghosh DK, Debnath P, Ramadugu C, Keremane ML, Khetarpal RK, Lee RF. Codon usage bias analysis of citrus tristeza virus: higher codon adaptation to citrus reticulata host. Viruses. 2019;11:331.

    Google Scholar 

  5. Butt AM, Nasrullah I, Qamar R, Tong Y. Evolution of codon usage in Zika virus genomes is host and vector specific. Emerg Microbes Infect. 2016;5:e107.

    Google Scholar 

  6. Chung BY-W, Miller WA, Atkins JF, Firth AE. An overlapping essential gene in the Potyviridae. Proc. Natl. Acad. Sci. USA, 2008; 105: 5897–5902.

  7. Cristina J, Moreno P, Moratorio G, Musto H. Genome-wide analysis of codon usage bias in Ebolavirus. Virus Res. 2014;196:87–93.

    Google Scholar 

  8. García-Arenal F, Fraile A, Malpica JM. Variability and genetic structure of plant virus populations. Annu Rev Phytopathol. 2001;39:157–86.

    Google Scholar 

  9. García-Arenal F, McDonald BA. An analysis of the durability of resistance to plant viruses. Phytopathology. 2003;93:941–52.

    Google Scholar 

  10. Hu JS, Wang QQ, Zhang J, Chen HT, Xu ZW, Ling Z, Ding YZ, Ma LN, Xu K, Gu YX. The characteristic of codon usage pattern and its evolution of hepatitis C virus. Infect Genet Evol. 2011;11:2098–102.

    Google Scholar 

  11. Jenkins GM, Holmes EC. The extent of codon usage bias in human RNA viruses and its evolutionary origin. Virus Res. 2003;92:1–7.

    Google Scholar 

  12. Kimura M. A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980;16:111–20.

    Google Scholar 

  13. Kosakovsky Pond SL, Frost SDW. Datamonkey: rapid detection of selective pressure on individual sites of codon alignments. Bioinformatics. 2005;21:2531–3.

    Google Scholar 

  14. 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.

    Google Scholar 

  15. Lopez C, Aramburu J, Galipienso L, Soler S, Nuez F, Rubio L. Evolutionary analysis of tomato Sw-5 resistance-breaking isolates of tomato spotted wilt virus. J Gen Virol. 2011;92:210–5.

    Google Scholar 

  16. Martin DP, Murrell B, Golden M, Khoosal A, Muhire B. RDP4: Detection and analysis of recombination patterns in virus genomes. Virus Evol. 2015;1(1):vev003.

    Google Scholar 

  17. Masumi M, Izadpanah K. Natural infection of johnsongrass and some other graminea plants with an isolate of Sugarcane mosaic virus. In: Proc 12th Iranian plant protec cong, Iran, Karaj Junior College of Agriculture; 1995. p 73.

  18. Masumi M, Zare A, Izadpanah K. Biological, serological, and molecular comparisons of potyviruses infecting poaceous plants in Iran. Iran J Plant Pathol. 2011;47:47–66.

    Google Scholar 

  19. Moradi Z, Mehrvar M, Nazifi E, Zakiaghl M. Iranian johnsongrass mosaic virus: the complete genome sequence, molecular and biological characterization, and comparison of coat protein gene sequences. Virus Genes. 2017;53:77–88.

    Google Scholar 

  20. Moradi Z, Mehrvar M. Genetic variability and molecular evolution of Bean common mosaic virus populations in Iran: comparison with the populations in the world. Eur J Plant Pathol. 2019;154:673–90.

    Google Scholar 

  21. Nigam D, LaTourrette K, Souza PFN, Garcia-Ruiz H. Genome-wide variation in potyviruses. Front Plant Sci. 2019;10:1439.

    Google Scholar 

  22. Rozas J, Ferrer-Mata A, Sanchez-DelBarrio JC, Guirao-Rico S, Librado P, Ramos-Onsins SE, Sanchez-Gracia A. DnaSP6: DNA sequence polymorphism analysis of large datasets. Mol Biol Evol. 2017;34:3299–302.

    Google Scholar 

  23. Wright F. The ‘effective number of codons’ used in a gene. Gene. 1990;87:23–9.

    Google Scholar 

  24. Wylie SJ, Adams M, Chalam C, Kreuze J, López-Moya JJ, Ohshima K, et al. ICTV virus taxonomy profile: potyviridae. J Gen Virol. 2017;98:352–4.

    Google Scholar 

Download references

Funding

This study was financially supported by grant number 49211 from Ferdowsi University of Mashhad.

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Correspondence to Mohsen Mehrvar.

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Moradi, Z., Mehrvar, M. Molecular characterization of two highly divergent Iranian johnsongrass mosaic virus isolates from Zea mays. VirusDis. 32, 155–160 (2021). https://doi.org/10.1007/s13337-021-00671-w

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