Occurrence of two new groups of candidatus phytoplasmas infecting soybean in Cuba
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Abstract
New symptoms similar to those induced by phytoplasmas, but different from those reported to date, were observed on soybean plants, so the objective of this research was to determine the possible presence of other groups of phytoplasmas infecting soybean crops in Cuba. Fifty-seven soybean plants showing symptoms of blistering and severe leaf mosaic were collected in several localities of the Cuban eastern region in 2014 and analysed by nested-PCR with primers targeting the 16S ribosomal DNA (16S rDNA). Phytoplasmas were detected in 31.58 % of symptomatic soybean plants. Conventional and in silico RFLP analyses of 16S rDNA sequences revealed the presence of ‘Candidatus Phytoplasma pruni’ and ‘Candidatus Phytoplasma phoenicium’ strains. Phytoplasmas belonging to the proposed new ribosomal subgroup 16SrIII-Z and the ribosomal subgroup 16SrIX-A were identified. Phylogenetic analysis corroborated the RFLP analyses, in which the Cuban 16SrIII-Z and 16SrIX-A subgroups formed a clade with representative sequences of the 16SrIII and 16SrIX groups, respectively. 16SrIII-Z was the most widespread subgroup (72.22 % of positive samples). This is the first report of phytoplasmas belonging to the 16SrIII and 16SrIX groups occurring in soybean in the country.
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References
SoyStats. A Reference Guide to Important Soybean Facts and Figures. American Soybean Association. 2022. Available online: http://soystats.com/ (accessed on 28 July 2022) .
Roján-Herrera O, Maqueira-López LA, Santana-Ges I de los M, Miranda-Sierra CA, Núñez-Vázquez M. Productividad de cultivares de soya en dos épocas de siembra. CulTrop. 2022;43(1):e05. Disponible en: https://ediciones.inca.edu.cu/index.php/ediciones/article/view/1641
Yu S-F, Wang C-L, Hu Y-F, Wen Y-C, Sun Z-B. Biocontrol of Three Severe Diseases in Soybean. Agriculture. 2022;12(9):1391. DOI: 10.3390/agriculture12091391
Kumari S, Nagendran K, Rai AB, Singh B, Rao GP, Bertaccini A. Global Status of Phytoplasma Diseases in Vegetable Crops. Front Microbiol. 2019;10:1349. DOI: 10.3389/fmicb.2019.01349
Rao GP, Bertaccini A, Fiore N, Liefting LW, editors. Phytoplasmas: Plant Pathogenic Bacteria - I: Characterisation and Epidemiology of Phytoplasma - Associated Diseases. Singapore: Springer Singapore; 2018. DOI: 10.1007/978-981-13-0119-3
Bertaccini A, Lee I-M. Phytoplasmas: An Update. In: Rao GP, Bertaccini A, Fiore N, Liefting LW, editors. Phytoplasmas: Plant Pathogenic Bacteria - I. Singapore: Springer Singapore; 2018. DOI: 10.1007/978-981-13-0119-3_1
Bertaccini A. Plants and Phytoplasmas: When Bacteria Modify Plants. Plants. 2022;11(11):1425. DOI: 10.3390/plants11111425
Lee ME, Grau CR, Lukaesko LA, Lee I-M. Identification of aster yellows phytoplasmas in soybean in Wisconsin based on RFLP analysis of PCR-amplified products (16S rDNAs). Canadian Journal of Plant Pathology. 2002;24(2):125-30. DOI: 10.1080/07060660309506986
Villalobos W, Moreira L, Rivera C, Lee I-M. First Report of New Phytoplasma Diseases Associated with Soybean, Sweet Pepper, and Passion Fruit in Costa Rica. Plant Disease. 2009;93(2):201-201. DOI: 10.1094/PDIS-93-2-0201C
Lee I-M, Bottner-Parker KD, Zhao Y, Villalobos W, Moreira L. ‘Candidatus Phytoplasma costaricanum’ a novel phytoplasma associated with an emerging disease in soybean (Glycine max). International Journal of Systematic and Evolutionary Microbiology. 2011;61(12):2822-6. DOI: 10.1099/ijs.0.029041-0
Wang C-J, Chien Y-Y, Liao P-Q, Chiu Y-C, Chen Y-K, Yang J-Y. First Report of 16SrII-V Phytoplasma Associated with Green Manure Soybean (Glycine max) in Taiwan. Plant Disease. 2021;105(7):2012. DOI: 10.1094/PDIS-12-20-2714-PDN
Zamharir MG, Aldaghi M. First report of a ‘Candidatus Phytoplasma trifolii‘‐related strain associated with soybean bud proliferation and seed pod abortion in Iran. New Disease Reports. 2018;37(1):15-15. DOI: 10.5197/j.2044-0588.2018.037.015
Zamharir MG, Shameli S. Molecular evidence of seed transmission of soybean bud proliferation and seed pods abortion phytoplasma disease. Indian Phytopathology. 2022;75(3):889-93. DOI: 10.1007/s42360-022-00518-4
Acosta K, Silva FN, Zamora L, Quiñones M, Martínez R, Piñol B, et al. Detection and molecular characterization of an aster yellows group phytoplasma associated with soybean and evidence of two new 16SrI subgroups in Cuba. Journal of Plant Pathology. 2015;97(2):339-44. Available from: http://www.jstor.org/stable/24722474
Leyva Martinez RM, Quiñones Pantoja ML, Piñol Perez B, Piloto Sardiñas E, Acosta Perez K. Detección de infección mixta de ‘Candidatus phytoplasma sp.’ y begomovirus afectando el cultivo de la soya en la región oriental de Cuba. Rev. Protección Veg. 2019;34(2). Disponible en: https://censa.edicionescervantes.com/index.php/RPV/article/view/1028
Lee I-M, Gundersen-Rindal DE, Davis RE, Bartoszyk IM. Revised Classification Scheme of Phytoplasmas based on RFLP Analyses of 16S rRNA and Ribosomal Protein Gene Sequences. International Journal of Systematic Bacteriology. 1998;48(4):1153-69. DOI: 10.1099/00207713-48-4-1153
Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. Journal of Molecular Biology. 1990;215(3):403-10. DOI: 10.1016/S0022-2836(05)80360-2
Zhao Y, Wei W, Lee I-M, Shao J, Suo X, Davis RE. Construction of an interactive online phytoplasma classification tool, iPhyClassifier, and its application in analysis of the peach X-disease phytoplasma group (16SrIII). International Journal of Systematic and Evolutionary Microbiology. 2009;59(10):2582-93. DOI: 10.1099/ijs.0.010249-0
Zhao Y, Wei W, Lee I-M, Shao J, Suo X, Davis RE. The iPhyClassifier, an Interactive Online Tool for Phytoplasma Classification and Taxonomic Assignment. In: Dickinson M, Hodgetts J, editors. Phytoplasma. Totowa, NJ: Humana Press; 2013. (Methods in Molecular Biology; vol. 938). DOI: 10.1007/978-1-62703-089-2_28
Lee I-M, Polashock J, Bottner-Parker KD, Bagadia PG, Rodriguez-Saona C, Zhao Y, et al. New subgroup 16SrIII-Y phytoplasmas associated with false-blossom diseased cranberry (Vaccinium macrocarpon) plants and with known and potential insect vectors in New Jersey. Eur J Plant Pathol. 2014;139(2):399-406. DOI: 10.1007/s10658-014-0396-7
Casati P, Quaglino F, Abou-Jawdah Y, Picciau L, Cominetti A, Tedeschi R, et al. Wild plants could play a role in the spread of diseases associated with phytoplasmas of Pigeon pea witches’-broom group (16SrIX). Journal of Plant Pathology. 2016;98(1):71-81. DOI: 10.4454/JPP.V98I1.026
Edgar RC. MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics. 2004;5(1):113. DOI: 10.1186/1471-2105-5-113
Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0. Molecular Biology and Evolution. 2013;30(12):2725-9. DOI: 10.1093/molbev/mst197
Leyva R, Quiñones M, Acosta K, Piñol B, Xavier C, Zerbini F. Primer informe de Tobacco Yellow Crinkle virus infectando el cultivo de la soya en Cuba. Rev. Protección Veg. 2019;34(2). Disponible en: https://censa.edicionescervantes.com/index.php/RPV/article/view/1038