White mulberry (Morus alba L.) fruit-associated bacterial and fungal microbiota
Abstract
Morus alba L. has been worldwide cultivated and commercially exploited plant with profound potential in environmental management, food and medicinal industries. Plant-associated microbial communities are playing an essential role in sustainable plant development. In the present study, the bacterial and fungal microorganism populations distributed on the white mulberry fruits harvested in the Czech Republic for the first time were characterized by metagenomics approach. A total of 62 bacterial and 37 fungal families were identified on white mulberry. Bacterial population was represented by the genera Tatumella, Leuconostoc, Frateuria and Pseudomonas, while fungal microorganisms – by Hanseniaspora, Cryptococcus, Cladosporium and Phoma. Both potentially beneficial, inducing resistance in the hosting plant, and pathogenic, responsible for disease development, microorganisms were detected. The information on the prevalence of bacterial and fungal microorganisms on the carposphere of M. alba is highly relevant for the development of strategies for environment-friendly plant cultivation, disease management and prevention.
Keyword : metagenomic analysis, Moraceae, fungal microbiota, bacterial microbiota
How to Cite
Lukša, J., & Servienė, E. (2020). White mulberry (Morus alba L.) fruit-associated bacterial and fungal microbiota. Journal of Environmental Engineering and Landscape Management, 28(4), 183-191. https://doi.org/10.3846/jeelm.2020.13735
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Nov 25, 2020
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References
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Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., Huttley, G. A., Kelley, S. T., Knights, D., Koenig, J. E., Ley, R. E., Lozupone, C. A., McDonald, D., Muegge, B. D., Pirrung, M., Reeder, J., Sevinsky, J. R., Turnbaugh, P. J., Walters, W. A., Widmann, J., Yatsunenko, T., Zaneveld, J., & Knight, R. (2010). QIIME allows analysis of high-throughput community sequencing data. Nature Methods, 7(5), 335–336. https://doi.org/10.1038/nmeth.f.303
Chinnaswamy, K. P., & Harisprasad, K. B. (1995). Energy potentiality of mulberry. Indian Silk, 34(4), 15–18.
Cole, J. R., Wang, Q., Fish, J. A., Chai, B., McGarrell, D. M., Sun, Y., Brown, C. T., Porras-Alfaro, A., Kuske, C. R., & Tiedje, J. M. (2014). Ribosomal Database Project: Data and tools for high throughput rRNA analysis. Nucleic Acids Research, 42(D1), D633–D642. https://doi.org/10.1093/nar/gkt1244
Coutinho, T. A., & Venter, S. N. (2009). Pantoea ananatis: An unconventional plant pathogen. Molecular Plant Pathology, 10(3), 325–335. https://doi.org/10.1111/j.1364-3703.2009.00542.x
da Silva, A. M., Urban, R. C., Manfre, L. A., Brossard, M., & Moreira, M. Z. (2017). Soil quality attributes related to urbanization in Brazilian watershed. Journal of Environmental Engineering and Landscape Management, 25(4), 317–328. https://doi.org/10.3846/16486897.2017.1296451
Deveau, A., Bonito, G., Uehling, J., Paoletti, M., Becker, M., Bindschedler, S., Hacquard, S., Herve, V., Labbe, J., Lastovetsky, O., Mieszkin, S., Millet, L. J., Vanja, B., Junier, P., Bonfante, P., Krom, B., Olsson, S., van Elsas, J. D., & Wick, L. (2018). Bacterial – fungal interactions: Ecology, mechanisms and challenges. FEMS Microbiology Reviews, 42(3), 335–352. https://doi.org/10.1093/femsre/fuy008
Ercisli, S., & Orhan, E. (2007). Chemical composition of white (Morus alba), red (Morus rubra) and black (Morus nigra) mulberry fruits. Food Chemistry, 103(4), 1380–1384. https://doi.org/10.1016/j.foodchem.2006.10.054
Freimoser, F. M., Rueda-Mejia, M. P., Tilocca, B., & Migheli, Q. (2019). Biocontrol yeasts: Mechanisms and applications. World Journal of Microbiology and Biotechnology, 35, 154. https://doi.org/10.1007/s11274-019-2728-4
Graça, A., Santo, D., Esteves, E., Nunes, C., Abadias, M., & Quintas, C. (2015). Evaluation of microbial quality and yeast diversity in fresh-cut apple. Food Microbiology, 51, 179–185. https://doi.org/10.1016/j.fm.2015.06.003
Hashem, M., Alamri, S. A., Hesham, A. E. L., Al-Qahtani, F. M. H., & Kilany, M. (2014). Biocontrol of apple blue mould by new yeast strains: Cryptococcus albidus KKUY0017 and Wickerhamomyces anomalus KKUY0051 and their mode of action. Biocontrol Science and Technology, 24(10), 1137– 1152. https://doi.org/10.1080/09583157.2014.926857
Holland, R., & Liu, S.-Q. (2011). Lactic Acid Bacteria | Leuconostoc spp. In Encyclopedia of dairy sciences (pp. 138–142). Elsevier. https://doi.org/10.1016/B978-0-12-374407-4.00267-3
Jiang, Y., Huang, R., Yan, X., Jia, C., Jiang, S., & Long, T. (2017). Mulberry for environmental protection. Pakistan Journal of Botany, 49(2), 781–788.
Kõljalg, U., Nilsson, R. H., Abarenkov, K., Tedersoo, L., Taylor, A. F. S., Bahram, M., Bates, S. T., Bruns, T. D., Bengtsson-Palme, J., Callaghan, T. M., Douglas, B., Drenkhan, T., Eberhardt, U., Dueñas, M., Grebenc, T., Griffith, G. W., Hartmann, M., Kirk, P. M., Kohout, P., Larsson, E., Lindahl, B. D., Lücking, R., Martín, M. P., Matheny, P. B., Nguyen, N. H., Niskanen, T., Oja, J., Peay, K. G., Peintner, U., Peterson, M., Põldmaa, K., Saag, L., Saar, I., Schüßler, A., Scott, J. A., Senés, C., Smith, M. E., Suija, A., Taylor, D. L., Telleria, M. T., Weiss, M., & Larsson, K.-H. (2013). Towards a unified paradigm for sequence-based identification of fungi. Molecular Ecology, 22(21), 5271–5277. https://doi.org/10.1111/mec.12481
Khoshdel, A., & Vaziri, B. M. (2016). Novel mathematical models for prediction of microbial growth kinetics and contaminant degradation in bioremediation process. Journal of Environmental Engineering and Landscape Management, 24(3), 157– 164. https://doi.org/10.3846/16486897.2016.1142446
Li, W., Fu, L., Niu, B., Wu, S., & Wooley, J. (2012). Ultrafast clustering algorithms for metagenomic sequence analysis. Briefings in Bioinformatics, 13(6), 656–668. https://doi.org/10.1093/bib/bbs035
Lidor, O., Santos-Garcia, D., Mozes-Daube, N., Naor, V., Cohen, E., Iasur-Kruh, L., Bahar, O., & Zchori-Fein, E. (2019). Frateuria defendens sp. nov., bacterium isolated from the yellows grapevine’s disease vector Hyalesthes obsoletus. International Journal of Systematic and Evolutionary Microbiology, 69(5), 1281–1287. https://doi.org/10.1099/ijsem.0.003305
Ligon, J. M., Hill, D. S., Hammer, P. E., Torkewitz, N. R., Hofmann, D., Kempf, H.-J., & Pee, K.-H. van. (2000). Natural products with antifungal activity from Pseudomonas biocontrol bacteria. Pest Management Science, 56(8), 688–695. https://doi.org/10.1002/1526-4998(200008)56:8<688::AIDPS186>3.0.CO;2-V
Lindow, S. E., & Brandl, M. T. (2003). Microbiology of the phyllosphere. Applied and Environmental Microbiology, 69(4), 1875–1883. https://doi.org/10.1128/AEM.69.4.1875-1883.2003
Liu, H. M., Guo, J. H., Cheng, Y. J., Luo, L., Liu, P., Wang, B. Q., Deng, B. X., & Long, C. A. (2010). Control of gray mold of grape by Hanseniaspora uvarum and its effects on postharvest quality parameters. Annals of Microbiology, 60(1), 31–35. https://doi.org/10.1007/s13213-010-0018-3
Liu, J., Sui, Y., Wisniewski, M., Droby, S., & Liu, Y. (2013). Review: Utilization of antagonistic yeasts to manage postharvest fungal diseases of fruit. International Journal of Food Microbiology, 167(2), 153–160. https://doi.org/10.1016/j.ijfoodmicro.2013.09.004
Łochyńska, M. (2015). Energy and nutritional properties of the white mulberry (Morus alba L.). Journal of Agricultural Science and Technology A, 5(9). https://doi.org/10.17265/2161-6256/2015.09.001
Lukša, J., Vepštaitė-Monstavičė, I., Yurchenko, V., Serva, S., & Servienė, E. (2018). High content analysis of sea buckthorn, black chokeberry, red and white currants microbiota – A pilot study. Food Research International, 111, 597–606. https://doi.org/10.1016/j.foodres.2018.05.060
Magoč, T., & Salzberg, S. L. (2011). FLASH: fast length adjustment of short reads to improve genome assemblies. Bioinformatics (Oxford, England), 27(21), 2957–2963. https://doi.org/10.1093/bioinformatics/btr507
Mahboubi, M. (2019). Morus alba (mulberry), a natural potent compound in management of obesity. Pharmacological Research, 146, 104341. https://doi.org/10.1016/j.phrs.2019.104341
Mardaneh, J., Soltan Dallal, M. M., Taheripoor, M., & Rajabi, Z. (2014). Isolation, identification and antimicrobial susceptibility pattern of Tatumella ptyseos strains isolated from powdered infant formula milk consumed in neonatal intensive care unit: first report from Iran. Jundishapur Journal of Microbiology, 7(6), e10608. https://doi.org/10.5812/jjm.10608
Oliveira, R. C., Goncalves, S. S., Oliveira, M. S., Dilkin, P., Mallmann, C. A., Freitas, R. S., Bianchi, P., & Correa, B. (2017). Natural occurrence of tenuazonic acid and Phoma sorghina in Brazilian sorghum grains at different maturity stages. Food Chemistry, 230, 491–496. https://doi.org/10.1016/j.foodchem.2017.03.079
Ondov, B. D., Bergman, N. H., & Phillippy, A. M. (2011). Interactive metagenomic visualization in a Web browser. BMC Bioinformatics, 12(1), 385. https://doi.org/10.1186/1471-2105-12-385
Ou, T., Xu, W., Wang, F., Strobel, G., Zhou, Z., Xiang, Z., Liu, J., & Xie, J. (2019). A microbiome study reveals seasonal variation in endophytic bacteria among different mulberry cultivars. Computational and Structural Biotechnology Journal, 17, 1091–1100. https://doi.org/10.1016/j.csbj.2019.07.018
Pinto, C., Pinho, D., Cardoso, R., Custódio, V., Fernandes, J., Sousa, S., Pinheiro M., Egas, C., & Gomes, A. C. (2015). Wine fermentation microbiome: A landscape from different Portuguese wine appellations. Frontiers in Microbiology, 6, 905. https://doi.org/10.3389/fmicb.2015.00905
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