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Bioinformatic Tools and Genome Analysis of Citrus tristeza virus

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Citrus Tristeza Virus

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2015))

Abstract

High-throughput sequencing (HTS) is a powerful tool employed by plant virologists for the detection of viruses, the characterization of virus genomes and the study of host-pathogen interactions. Virus detection has been an important application of this technology, which has resulted in the discovery of novel viruses or viral strains as well as for the detection of known viruses in a plant sample. Here we describe the entire process that needs to be considered for the genome analysis of Citrus tristeza virus (CTV) by HTS, including the experimental design, sample preparation, nucleic acid purification, HTS library construction, and bioinformatic analysis.

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References

  1. Zablocki O, Pietersen G (2014) Characterization of a novel Citrus tristeza virus genotype within three cross-protecting source GFMS12 sub-isolates in South Africa by means of Illumina sequencing. Arch Virol 159:2133–2139

    Article  CAS  Google Scholar 

  2. Read D, Pietersen G (2017) Diversity of Citrus tristeza virus populations in commercial grapefruit orchards in Southern Africa, determined using Illumina MiSeq technology. Eur J Plant Pathol 148:379–391

    Article  Google Scholar 

  3. Visser M, Cook G, Burger JT et al (2017) In silico analysis of the grapefruit sRNAome, transcriptome and gene regulation in response to CTV-CDVd co-infection. Virol J 14:200

    Article  Google Scholar 

  4. Yokomi RK, Selvaraj V, Maheshwari Y et al (2017) Identification and characterization of Citrus tristeza virus isolates breaking resistance in trifoliate orange in California. Phytopathology 107:901–908

    Article  CAS  Google Scholar 

  5. Licciardello G, Scuderi G, Ferraro R et al (2015) Deep sequencing and analysis of small RNAs in sweet orange grafted on sour orange infected with two Citrus tristeza virus isolates prevalent in Sicily. Arch Virol 160:2583–2589

    Article  CAS  Google Scholar 

  6. Varveri C, Olmos A, Pina JA et al (2015) Biological and molecular characterization of a distinct Citrus tristeza virus isolate originating from a lemon tree in Greece. Plant Pathol 64:792–798

    Article  CAS  Google Scholar 

  7. Maliogka VI, Minafra A, Saldarelli P et al (2018) Recent advances on detection and characterization of fruit tree viruses using high-throughput sequencing technologies. Viruses 10:E436

    Article  Google Scholar 

  8. Visser M, Bester R, Burger JT et al (2016) Next-generation sequencing for virus detection: covering all the bases. Virol J 13:85

    Article  Google Scholar 

  9. Jones S, Baizan-Edge A, MacFarlane S et al (2017) Viral diagnostics in plants using next generation sequencing: computational analysis in practice. Front Plant Sci 8:1770

    Article  Google Scholar 

  10. White EJ, Venter M, Hiten NF et al (2008) Modified Cetyltrimethylammonium bromide method improves robustness and versatility: the benchmark for plant RNA extraction. Biotechnol J 3:142–1428

    Article  Google Scholar 

  11. Goodacre N, Aljanahi A, Nandakumar S et al (2018) A reference viral database (RVDB) to enhance bioinformatics analysis of high-throughput sequencing for novel virus detection. mSphere 3:e00069–e00018

    Article  Google Scholar 

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Acknowledgments

The authors would like to acknowledge Citrus Research International (CRI), Instituto Nacional de Investigaciones Agrarias (INIA), and Instituto Valenciano de Investigaciones Agrarias (IVIA) for sample collection and project funding. The financial assistance of the National Research Foundation (NRF) toward this research is hereby acknowledged. The opinions expressed and conclusions arrived at are those of the authors and are not necessarily to be attributed to the NRF, INIA, IVIA, or CRI.

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Correspondence to Antonio Olmos .

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Ruiz-García, A.B., Bester, R., Olmos, A., Maree, H.J. (2019). Bioinformatic Tools and Genome Analysis of Citrus tristeza virus. In: Catara, A., Bar-Joseph, M., Licciardello, G. (eds) Citrus Tristeza Virus. Methods in Molecular Biology, vol 2015. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9558-5_12

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  • DOI: https://doi.org/10.1007/978-1-4939-9558-5_12

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-9557-8

  • Online ISBN: 978-1-4939-9558-5

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