Fig. 1. Disease progress of R. solanacearum strains SL341 on tomato. Thirty 21-days-old tomato plants (cv. Hawaii 7996) treated with bacterial cells harvested from inoculated MM9 culture media, control plants treated with 2.5 mM MES (pH 5.7) were inoculated by R. solanacearum SL341 at a final concentration of 1 × 107 cfu/g soil. Plants were rated for disease index through 14 days; vertical bars represent the standard error. Significant difference was observed by repeated measures ANOVA. P values are indicated by asterisks < 0.01 = **, < 0.001=***.
Fig. 2. Bacterial community alpha diversity measured by observed species (A) and Shannon diversity index (B) from the rhizosphere MF of upland, forest MF treated Hawaii 7996 and their respective communities harvested from the cultures and subsequent cultures in MM9 media. The upland rhizosphere sample is abbreviated Upland_Rhi, forest rhizosphere sample as Forest_Rhi, bacterial mixed culture in MM9 inoculated with upland rhizosphere MF is abbreviated as UplandMM9, and bacterial mixed culture in MM9 transferred from UplandMM9 is abbreviated as UplandMM9_1st_Tra. The significance observed by Wilcoxon rank sum test are indicated by asterisks < 0.05 = *, < 0.01 = **.
Fig. 3. Non-metric multidimensional scaling (NMDS) plot of Bray-Curtis dissimilarity on microbial communities harvested from the rhizosphere MF of upland and forest MF treated Hawaii 7996 and their respective communities harvested from the cultures and subsequent cultures in MM9 media. NMDS plot stress value equals 0.06. Permutational multivariate analysis of variance (PERMANOVA) showed significant difference (P = 0.001) with R2 value 0.5283. The upland rhizosphere sample is abbreviated Upland_Rhi, forest rhizosphere sample as Forest_Rhi, bacterial mixed culture in MM9 inoculated with upland rhizosphere MF is abbreviated as UplandMM9, and bacterial mixed culture in MM9 transferred from UplandMM9 is abbreviated as UplandMM9_1st_Tra.
Fig. 4. Relative abundance (%) of bacterial OTUs at the phylum level from tomato rhizosphere, bacterial mixed culture in MM9 inoculated with rhizosphere MF (MM9) and bacterial mixed culture in MM9 transferred from MM9 (MM9 1st Tra). The x-axis represents the relative abundance (%) of each phylum. The y-axis represents the samples. The color box below the figure represents the phyla.
Fig. 5. Disease progress of R. solanacearum strains SL341 on tomato in non-sterilized (A) and sterilized (B) nursery soil. Thirty 21-daysold tomato plants (cv. Hawaii 7996) treated with bacterial cells of Enterobacteriaceae strain, control plants treated with 2.5 mM MES (pH 5.7) were inoculated by R. solanacearum SL341 at a final density of 1 × 107 cfu/g soil. Plants were rated for disease index through 14 days, vertical bars represent the standard error of the mean (n = 30). Significant difference was observed by repeated measures ANOVA between control and plants treated with Enterobacteriaceae strain (P = 0.019471) in non-sterilized soil. No significant difference was observed by repeated measures ANOVA between control and plants treated with Enterobacteriaceae strain (P = 0.9615) in sterilized soil.
References
- Amann, R. I., Ludwig, W. and Schleifer, K. H. 1995. Phylogenetic identification and in situ detection of individual microbial cells without cultivation. Microbiol. Rev. 59:143-169. https://doi.org/10.1128/MMBR.59.1.143-169.1995
- Bai, Y., Muller, D. B., Srinivas, G., Garrido-Oter, R., Potthoff, E., Rott, M., Dombrowski, N., Munch, P. C., Spaepen, S., Remus-Emsermann, M., Huttel, B., McHardy, A. C., Vorholt, J. A. and Schulze-Lefert, P. 2015. Functional overlap of the Arabidopsis leaf and root microbiota. Nature 528:364-369. https://doi.org/10.1038/nature16192
- Bais, H. P., Weir, T. L., Perry, L. G., Gilroy, S. and Vivanco, J. M. 2006. The role of root exudates in rhizosphere interactions with plants and other organisms. Annu. Rev. Plant Biol. 57:233-266. https://doi.org/10.1146/annurev.arplant.57.032905.105159
- Balint-Kurti, B. P., Simmons, S. J., Blum, J. E., Ballare, C. L. and Stapleton, A. E. 2010. Maize leaf epiphytic bacteria diversity patterns are genetically correlated with resistance to fungal pathogen infection. Mol. Plant-Microbe Interact. 23:473-484. https://doi.org/10.1094/MPMI-23-4-0473
- Berendsen, R. L., Pieterse, C. M. and Bakker, P. A. 2012. The rhizosphere microbiome and plant health. Trends Plant Sci. 17:478-486. https://doi.org/10.1016/j.tplants.2012.04.001
- Berg, J.M., Tymoczko, J. L. and Stryer, L. 2007. Biochemistry In:Gylcolysis and Gluconeogenesis. 6th ed. W.H Freeman and Company, New York, NY. 449 pp.
- Bodenhausen, N., Bortfeld-Miller, M., Ackermann, M. and Vorholt, J. A. 2014. A synthetic community approach reveals plant genotypes affecting the phyllosphere microbiota. PLoS Genet. 10:e1004283. https://doi.org/10.1371/journal.pgen.1004283
- Bulgarelli, D., Schlaeppi, K., Spaepen, S., Ver Loren van Themaat, E. and Schulze-Lefert, P. 2013. Structure and functions of the bacterial microbiota of plants. Annu. Rev. Plant. Biol. 64:807-838. https://doi.org/10.1146/annurev-arplant-050312-120106
- Chen, W., Wang, Y., Li, D., Li, L., Xiao, Q. and Zhou, Q. 2012. Draft genome sequence of Brevibacillus brevis strain X23, a biocontrol agent against BW. J. Bacteriol. 194:6634-6635. https://doi.org/10.1128/JB.01312-12
- Choi, J. 2017. Analysis of potential impact of various soil microbiomes on tomato bacterial wilt occurrence. Master's thesis. Dong-A University, Busan, Korea.
- Da Silveira, E., Mariano, R., Michereff, S. and Menezes, M. 1995. Antagonism of Bacillus spp. against Pseudomonas solanacearum and effect on tomato seedling growth. Fitopatol. Bras. 20:605-612 (in Portuguese).
- Edgar, R. C. 2010. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26:2460-2461. https://doi.org/10.1093/bioinformatics/btq461
- Edgar, R. C. 2013. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat. Methods 10:996-998. https://doi.org/10.1038/nmeth.2604
- Fierer, N. 2017. Embracing the unknown: disentangling the complexities of the soil microbiome. Nat. Rev. Microbiol. 15:579-590. https://doi.org/10.1038/nrmicro.2017.87
- Herlemann, D. P., Labrenz, M., Jurgens, K., Bertilsson, S., Waniek, J. J. and Andersson, A. F. 2011. Transitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea. ISME J. 5:1571-1579. https://doi.org/10.1038/ismej.2011.41
- Hirsch, P. R. and Mauchline, T. H. 2012. Who's who in the plant root microbiome? Nat. Biotechnol. 30:961-962. https://doi.org/10.1038/nbt.2387
- Kamilova, F., Kravchenko, L. V., Shaposhnikov, A. I., Azarova, T., Makarova, N. and Lugtenberg, B. 2006. Organic acids, sugars, and L-tryptophane in exudates of vegetables growing on stonewool and their effects on activities of rhizosphere bacteria. Mol. Plant-Microbe Interact. 19:250-256. https://doi.org/10.1094/MPMI-19-0250
- Kwak, M. J., Kong, H. G., Choi, K., Kwon, S. K., Song, J. Y., Lee, J., Lee, P. A., Choi, S. Y., Seo, M., Lee, H. J., Jung, E. J., Park, H., Roy, N., Kim, H., Lee, M. M., Rubin, E. M., Lee, S. W. and Kim, J. F. 2018. Rhizosphere microbiome structure alters to enable wilt resistance in tomato. Nat. Biotechnol. 36:1100-1109. https://doi.org/10.1038/nbt.4232
- Latz, E., Eisenhauer, N., Rall, B. C., Allan, E. B. R., Roscher, C., Scheu, S. and Jousset, A. 2012. Plant diversity improves protection against soil-borne pathogens by fostering antagonistic bacterial communities. J. Ecol. 100:597-604. https://doi.org/10.1111/j.1365-2745.2011.01940.x
- Lebeis, S. L., Paredes, S. H., Lundberg, D. S., Breakfield, N., Gehring, J., McDonald, M., Malfatti, S., Glavina del Rio, T., Jones, C. D., Tringe, S. G. and Dangl, J. L. 2015. Salicylic acid modulates colonization of the root microbiome by specific bacterial taxa. Science 349:860-864. https://doi.org/10.1126/science.aaa8764
- Lemessa, F. and Zeller, W. 2007. Screening rhizobacteria for biological control of Ralstonia solanacearum in Ethiopia. Biol. Control 42:336-344. https://doi.org/10.1016/j.biocontrol.2007.05.014
- Lwin, M. and Ranamukhaarachchi, S. 2006. Development of biological control of Ralstonia solanacearum through antagonistic microbial populations. Int. J. Agric. Biol. 8:657-660.
- Masella, A. P., Bartram, A. K., Truszkowski, J. M., Brown, D. G. and Neufeld, J. D. 2012. PANDAseq: paired-end assembler for illumina sequences. BMC Bioinformatics 13:31. https://doi.org/10.1186/1471-2105-13-31
- McMurdie, P. J. and Holmes, S. 2013. phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One 8:e61217. https://doi.org/10.1371/journal.pone.0061217
- Mendes, R., Kruijt, M., de Bruijn, I., Dekkers, E., van der Voort, M., Schneider, J. H., Piceno, Y. M., DeSantis, T. Z., Andersen, G. L., Bakker, P. A. and Raaijmakers, J. M. 2011. Deciphering the rhizosphere microbiome for disease-suppressive bacteria. Science 332:1097-1100. https://doi.org/10.1126/science.1203980
- Niu, B., Paulson, J. N., Zheng, X. and Kolter, R. 2017. Simplified and representative bacterial community of maize roots. Proc. Natl. Acad. Sci. U.S.A. 114:E2450-E2459. https://doi.org/10.1073/pnas.1616148114
- Philippot, L., Raaijmakers, J. M., Lemanceau, P. and van eer Putten, W. H. 2013. Going back to the roots: the microbial ecology of the rhizosphere. Nat. Rev. Microbiol. 11:789-799. https://doi.org/10.1038/nrmicro3109
- Roberts, D. P., Denny, T. P. and Schell, M. A. 1988. Cloning of the egl gene of Pseudomonas solanacearum and analysis of its role in phytopathogenicity. J. Bacteriol. 170:1445-1451. https://doi.org/10.1128/jb.170.4.1445-1451.1988
- Sasse, J., Martinoia, E. and Northen, T. 2018. Feed your friends:do plant exudates shape the root microbiome? Trends Plant Sci. 23:25-41. https://doi.org/10.1016/j.tplants.2017.09.003
- Turner, T. R., James, E. K. and Poole, P. S. 2013. The plant microbiome. Genome Biol. 14:209. https://doi.org/10.1186/gb-2013-14-6-209
- van Elsas, J. D., Chiurazzi, M., Mallon, C. A., Elhottova, D., Kristufek, V. and Salles, J. F. 2012. Microbial diversity determines the invasion of soil by a bacterial pathogen. Proc. Natl. Acad. Sci. U.S.A. 109:1159-1164. https://doi.org/10.1073/pnas.1109326109
- Vorholt, J. A., Vogel, C., Carlstrom, C. I. and Muller, D. B. 2017. Establishing causality: opportunities of synthetic communities for plant microbiome research. Cell Host Microbe 22:142-155. https://doi.org/10.1016/j.chom.2017.07.004
- Wydra, K. and Semrau, J. 2005. Phenotypic and molecular characterization of the interaction of antagonistic bacteria with Ralstonia solanacearum causing tomato bacterial wilt. In:Proceedings of the 1st International Symposium on Biological Control of Bacterial Plant Diseases, eds. by W. Zeller and C. Ulrich, pp. 112-118. Biologische Bundesanstalt fur Forstwirtschaft, Darmstadt, Germany.
- Zheng, W., Tsompana, M., Ruscitto, A., Sharma, A., Genco, R., Sun, Y. and Buck, M. J. 2015. An accurate and efficient experimental approach for characterization of the complex oral microbiota. Microbiome 3:48. https://doi.org/10.1186/s40168-015-0110-9