Journal of Microbiology and Biotechnology

The Korean Society for Microbiology and Biotechnology (한국미생물·생명공학회)
권호 표지
DOI QR코드

DOI QR Code

Pathological Impact on the Phyllosphere Microbiota of Artemisia argyi by Haze

  • Zhang, Yu-Zhu (Department of Fundamental Medicine, Chengdu University of Traditional Chinese Medicine) ;
  • Jiang, De-Yu (Department of Fundamental Medicine, Chengdu University of Traditional Chinese Medicine) ;
  • Zhang, Chi (Health Preservation and Rehabilitation College, Chengdu University of Traditional Chinese Medicine) ;
  • Yang, Kun (Department of Fundamental Medicine, Chengdu University of Traditional Chinese Medicine) ;
  • Wang, Huai-Fu (Department of Fundamental Medicine, Chengdu University of Traditional Chinese Medicine) ;
  • Xia, Xiu-Wen (Department of Fundamental Medicine, Chengdu University of Traditional Chinese Medicine) ;
  • Ding, Wei-Jun (Department of Fundamental Medicine, Chengdu University of Traditional Chinese Medicine)
  • Received : 2020.09.16
  • Accepted : 2021.02.10
  • Published : 2021.04.28
Download PDF
⟨ Previous Next ⟩

Abstract

The pathological impact of haze upon the phyllosphere microbiota awaits investigation. A moderate degree of haze environment and a clean control were selected in Chengdu, China. Artemisia argyi, a ubiquitously distributed and extensively applied Chinese herb, was also chosen for experiment. Total genome DNA was extracted from leaf samples, and for metagenome sequencing, an Illumina HiSeq 2500 platform was applied. The results showed that the gene numbers of phyllosphere microbiota derived from haze leaves were lower than those of the clean control. The phyllosphere microbiota derived from both haze and clean groups shared the same top ten phyla; the abundances of Proteobacteria, Actinomycetes and Anorthococcuso of the haze group were substantially increased, while Ascomycetes and Basidiomycetes decreased. At the genus level, the abundances of Nocardia, Paracoccus, Marmoricola and Knoelia from haze leaves were markedly increased, while the yeasts were statistically decreased. KEGG retrieval demonstrated that the functional genes were most annotated to metabolism. An interesting find of this work is that the phyllosphere microbiota responsible for the synthesis of primary and secondary metabolites in A. argyi were significantly increased under a haze environment. Relatively enriched genes annotated by eggNOG belong to replication, recombination and repair, and genes classified into the glycoside hydrolase and glycosyltransferase enzymes were significantly increased. In summary, we found that both structure and function of phyllosphere microbiota are globally impacted by haze, while primary and secondary metabolites responsible for haze tolerance were considerably increased. These results suggest an adaptive strategy of plants for tolerating and confronting haze damage.

Keywords

References

  1. Guan WJ, Zheng XY, Chung KF, Zhong NS. 2016. Impact of air pollution on the burden of chronic respiratory diseases in China: time for urgent action. Lancet 388: 1939-1951. https://doi.org/10.1016/S0140-6736(16)31597-5
  2. Udeigwe TK, Teboh JM, Eze PN, Stietiya MH, Kumar V, Hendrix J, et al. 2015. Implications of leading crop production practices on environmental quality and human health. J. Environ. Manag. 151: 267-279. https://doi.org/10.1016/j.jenvman.2014.11.024
  3. Petkovsek SAS. 2013. Forest biomonitoring of the largest Slovene thermal power plant with respect to reduction of air pollution. Environ. Monit. Assess. 185: 1809-1823. https://doi.org/10.1007/s10661-012-2669-y
  4. Li T, Zhang M, Gu K, Herman U, Crittenden J, Lu Z. 2016. DNA Damage in Euonymus japonicus leaf cells caused by roadside pollution in Beijing. Int. J. Environ. Res.Public Health 13: 742-754. https://doi.org/10.3390/ijerph13070742
  5. Andreote FD, Gumiere T, Durrer A. 2014. Exploring interactions of plant microbiomes. Sci. Agric. 71: 528-539. https://doi.org/10.1590/0103-9016-2014-0195
  6. Brandl MT, Cox CE, Teplitski M. 2013. Salmonella interactions with plants and their associated microbiota. Phytopathology 103: 316-325. https://doi.org/10.1094/PHYTO-11-12-0295-RVW
  7. Heaton JC, Jones K. 2008. Microbial contamination of fruit and egetables and the behaviour of enteropathogens in the Phyllosphere: a review J. Appl. Microbiol. 104: 613-636. https://doi.org/10.1111/j.1365-2672.2007.03587.x
  8. Duarte S, Pascoal C, Cassio F. 2008. High diversity of fungi may mitigate the impact of pollution on plant litter decomposition in streams. Microb. Ecol. 56: 688-695. https://doi.org/10.1007/s00248-008-9388-5
  9. Mine A, Sato M, Tsuda K. 2014. Toward a systems understanding of plant-microbe interactions. Front. Plant Sci. 5: 423.
  10. Koberl M, Schmidt R, Ramadan EM, Bauer R, Berg G. 2013. The microbiome of medicinal plants: diversity and importance for plant growth, quality and health. Front. Microbiol. 4: 400. https://doi.org/10.3389/fmicb.2013.00400
  11. Lozupone C, Lladser ME, Knights D, Stombaugh J, Knight R. 2011. UniFrac an effective distance metric for microbial community comparison. ISME J. 5: 169-172. https://doi.org/10.1038/ismej.2010.133
  12. Nielsen HB, Almeida M, Juncker AS, Rasmussen S, Li J, Sunagawa S, et al. 2014. Identification and assembly of genomes and genetic elements in complex metagenomic samples without using reference genomes. Nat. Biotechnol. 32: 822-828. https://doi.org/10.1038/nbt.2939
  13. Rivas MN, Burton OT, Wise P, Zhang YQ, Hobson SA, Lloret MG, et al. 2013. A microbiota signature associated with experimental food allergy promotes allergic sensitization and anaphylaxis. J. Allergy Clin. Immunol. 131: 201-212. https://doi.org/10.1016/j.jaci.2012.10.026
  14. Guerra SA, Olsen SR, Anderson JJ. 2014. Evaluation of the SO2 and NOX offset ratio method to account for secondary PM2.5 formation. J. Air Waste Manag. Assoc. 64: 265-271. https://doi.org/10.1080/10962247.2013.852636
  15. Si YC, Miao WN, He JY, Chen L, Wang YL, Ding WJ. 2018. Regulating gut flora dysbiosis in obese mice by electroacupuncture. Am. J. Chin. Med. 46: 1-17. https://doi.org/10.1142/s0192415x18500015
  16. Lekholm EL, Tremaroli V, Lee YS, Koren O, Nookaew I, Fricker A, et al. 2012. Analysis of gut microbial regulation of host gene expression along the length of the gut and regulation of gut microbial ecology through MyD88. Gut 61: 1124-1131. https://doi.org/10.1136/gutjnl-2011-301104
  17. Avershina E, Frisli T, Rudi K. 2013. De novo semi-alignment of 16S rRNA gene sequences for deep phylogenetic characterization of next generation sequencing data. Microb. Environ. 28: 211-216. https://doi.org/10.1264/jsme2.ME12157
  18. Walker AW, Martin JC, Scott P, Parkhill J, Flint HJ, Scott KP. 2015. 16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice. Microbiome 3: 26. https://doi.org/10.1186/s40168-015-0087-4
  19. Fenn ME, Dunn PH, Durall DM. 1989. Effects of ozone and sulfur dioxide on phyllosphere fungi from three tree species. Appl. Environ. Microbiol. 55: 412-418. https://doi.org/10.1128/AEM.55.2.412-418.1989
  20. Jager ES, Wehner FC, Korsten L. 2001. Microbial ecology of the mango phylloplane. Micro. Ecol. 42: 201-207. https://doi.org/10.1007/s002480000106
  21. Brighigna L, Gori A, Gonnelli S, Favilli F. 2000. The influence of air pollution on the phyllosphere microflora composition of Tillandsia leaves (Bromeliaceae). Rev. Biol. Trop. 48: 511-517.
  22. Takagi K, Fujii K, Yamazaki K, Harada N, Iwasaki A. 2012. Biodegradation of melamine and its hydroxy derivatives by a bacterial consortium containing a novel Nocardioides species. Appl. Microbiol. Biotechnol. 94: 1647-1656. https://doi.org/10.1007/s00253-011-3673-9
  23. Wilson FP, Liu X, Mattes TE, Cupples AM. 2016. Nocardioides, Sediminibacterium, Aquabacterium, Variovorax, and Pseudomonas linked to carbon uptake during aerobic vinyl chloride biodegradation. Environ. Sci. Pollut. Res. 23: 19062-19070. https://doi.org/10.1007/s11356-016-7099-x
  24. Baker SC, Ferguson SJ, Ludwig B, Page MD, Richter OH, Spanning RJM. 1998. Molecular genetics of the genus Paracoccus metabolically versatile bacteria with bioenergetic flexibility. Microbiol. Mol. Biol. Rev. 62: 1046-1078. https://doi.org/10.1128/mmbr.62.4.1046-1078.1998
  25. Du BG, Kreuzwieser J, Winkler JB, Ghirardo A, Schnitzler JP, Ache P, et al. 2018. Physiological responses of date palm (Phoenix dactylifera) seedlings to acute ozone exposure at high temperature. Environ. Pollut. 242: 905-913. https://doi.org/10.1016/j.envpol.2018.07.059
  26. Bortolin RC, Caregnato FF, Divan Junior AM, Zanotto-Filho A, Moresco KS, Rios Ade O, et al. 2016. Chronic ozone exposure alters the secondary metabolite profile, antioxidant potential, anti-inflammatory property, and quality of red pepper fruit from Capsicum baccatum. Ecotoxicol. Environ. Saf. 129: 16-24. https://doi.org/10.1016/j.ecoenv.2016.03.004
  27. Takshak S, Agrawal SB. 2019. Defense potential of secondary metabolites in medicinal plants under UV-B stress. J. Photochem. Photobiol. B: Biol. 193: 51-88. https://doi.org/10.1016/j.jphotobiol.2019.02.002
  28. Lajayer BA, Ghorbanpour M, Nikabadi S. 2017. Heavy metals in contaminated environment: Destiny of secondary metabolite biosynthesis, oxidative status and phytoextraction in medicinal plants. Ecotoxicol. Environ.Saf. 145: 377-390. https://doi.org/10.1016/j.ecoenv.2017.07.035
  29. Zhao YH, Jia X, Wang WK, Liu T, Huang SP, Yang MY. 2016. Growth under elevated air temperature alters secondary metabolites in Robinia pseudoacacia L. seedlings in Cd- and Pb-contaminated soils. Sci. Total Environ. 565: 586-594. https://doi.org/10.1016/j.scitotenv.2016.05.058
  30. Leisner CP, Yendrek CR, Ainsworth EA. 2017. Physiological and transcriptomic responses in the seed coat of field-grown soybean (Glycine max L. Merr.) to abiotic stress. BMC Plant Biol. 17: 242. https://doi.org/10.1186/s12870-017-1188-y
  31. Nidumukkala S, Tayi L, Chittela RK, Vudem DR, Khareedu VR. 2019. DEAD box helicases as promising molecular tools for engineering abiotic stress tolerance in plants. Crit. Rev. Biotechnol. 39: 395-407. https://doi.org/10.1080/07388551.2019.1566204
  32. Lario LD, Ramirez-Parra E, Gutierrez C, Casati P, Spampinato CP. 2011. Regulation of plant MSH2 and MSH6 genes in the UV-B-induced DNA damage response. J. Exp. Bot. 62: 2925-2937. https://doi.org/10.1093/jxb/err001
  33. Li R, Wang W, Li F, Wang Q, Wang S, Xu Y, et al. 2017. Response of alternative splice isoforms of OsRad9 gene from Oryza sativa to environmental stress. Z. Naturforsch C. J. Biosci. 72: 325-334. https://doi.org/10.1515/znc-2016-0257