high-throughput isolation and cultivation of slow growing … · 2020. 5. 1. · data were analyzed...

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Application Note Application Note High-throughput Isolation and Cultivation of Slow Growing Bacteria from Soil Isolation of Slow Growing Bacteria from Soil The soil used in this study was collected from an urban community garden in Berkeley, CA (U.S.). 1 g of soil was suspended in 9 mL of 1x Phosphate Buffered Saline (PBS) inside a 15 mL conical tube and vortexed for 30 seconds at 3000 rpm. The tube was inverted 3 times and allowed to sit upright for 2 minutes. After larger soil particles settled to the bottom of the tube, the supernatant was collected. The supernatant was diluted in R2A liquid medium containing 100 µM resazurin and loaded onto arrays at a concentration corresponding to a fill rate of fewer than 0.3 cells per nano- well. The loaded and sealed arrays were incubated in the dark at room temperature for up to 18 days before analysis using the Prospector instrument. The Prospector instrument captures fluorescence images of the array with red (635 nm), green (532 nm), and blue (488 nm) excitation. A shift from red to green fluorescence of the resazurin redox marker in a nano-well indicates bacterial growth. The Prospector software was used to select and generate a target list of putative growth-positive wells for transfer into a 96-well plate by means of a robotic probe using the red/green fluorescence ratio. For more detailed information please refer to the GALT Application Note on Isolation and Cultivation of Bacterial from a Soil Sample 1 . In order to isolate slow-growing microbes two criteria were followed: A) transferring of cells from putative growth- positive nano-wells into 96-well plates from arrays that had been incubated for 6 to 18 days and B) selection of isolates from those 96-well plates that appeared positive from day 6 onwards. All isolates included in this study met both criteria except for 59 which were selected on the array prior to day 6, but took more than 6 days to appear growth positive on the 96-well plate. A total of 254 isolates were obtained, and their taxonomic identity was assigned using 16S rRNA sequencing. Figure 1 demonstrates the shift in red and green fluorescence signals of selected nano-wells containing slow growing microbes from 24h to 11 days post loading and shows the location of these wells on the Prospector arrays Detailed information of the time requirements for sample preparation, array loading and transferring to 96-well plates followed by bacterial identification can be found in the GALT Application Note on Isolation and Cultivation of Bacterial from a Soil Sample 1 . For this experiment, minor steps were modified: A) the day positive wells were transferred from arrays to 96-well plates was extended to between 6 and 18 days and B) selection of positive isolates from 96-well plates was extended to those that showed growth from day 6 onwards. Identification of Slow Growing Bacteria Isolates from Soil A portion of the 16S rRNA gene was amplified using the universal primers (27F and 1391R) and sequenced using Sanger sequencing technology with 27F. The 16S rRNA sequences were identified at the genus or higher taxonomic level using the SILVA database. Figure 2 shows the taxonomy and relative abundance of the slow-growing microbe collection from soil. The 254 isolate collection represented common soil phyla that comprises most of soil diversity: Proteobacteria, Actinobacteria, Firmicutes, Bacteroidetes and even the rarely cultivable Acidobacteria 2-7 . Among known slow growing bacteria, the collection contained representative isolates from the following genera. The GALT Prospector is a system for high-throughput isolation and cultivation of microbial species from complex environmental samples. The system cultivates and images microbial colonies on a proprietary microfluidic array chip containing over 6000 nano-wells for microbial cultivation. A bench-top system automates the isolation and cultivation workflow through software-driven imaging, selection and transferring of single isolates into standard multi-well plates for downstream analysis. When a diluted sample is loaded into the array, individual cells are captured in the nano-wells in isolation from other cells. This eliminates competition between slow and fast-growing microbes and enables identification and isolation of slow growers within complex samples. Here, we describe successful isolation and cultivation of taxonomically diverse slow- growing soil microbes using the GALT Prospector.

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Page 1: High-throughput Isolation and Cultivation of Slow Growing … · 2020. 5. 1. · Data were analyzed and visualized using the software package R56. All points in the left-side panel

Application NoteApplication Note

High-throughput Isolation and Cultivation of Slow Growing Bacteria from Soil

Isolation of Slow Growing Bacteria from SoilThe soil used in this study was collected from an urban community garden in Berkeley, CA (U.S.). 1 g of soil was suspended in 9 mL of 1x Phosphate Buffered Saline (PBS) inside a 15 mL conical tube and vortexed for 30 seconds at 3000 rpm. The tube was inverted 3 times and allowed to sit upright for 2 minutes. After larger soil particles settled to the bottom of the tube, the supernatant was collected. The supernatant was diluted in R2A liquid medium containing 100 µM resazurin and loaded onto arrays at a concentration corresponding to a fill rate of fewer than 0.3 cells per nano-well. The loaded and sealed arrays were incubated in the dark at room temperature for up to 18 days before analysis using the Prospector instrument.The Prospector instrument captures fluorescence images of the array with red (635 nm), green (532 nm), and blue (488 nm) excitation. A shift from red to green fluorescence of the resazurin redox marker in a nano-well indicates bacterial growth. The Prospector software was used to select and generate a target list of putative growth-positive wells for transfer into a 96-well plate by means of a robotic probe using the red/green fluorescence ratio. For more detailed information please refer to the GALT Application Note on Isolation and Cultivation of Bacterial from a Soil Sample1.In order to isolate slow-growing microbes two criteria were followed: A) transferring of cells from putative growth-positive nano-wells into 96-well plates from arrays that had been incubated for 6 to 18 days and B) selection of isolates from those 96-well plates that appeared positive from day 6 onwards. All isolates included in this study met both criteria except for 59 which were selected on the array prior to day

6, but took more than 6 days to appear growth positive on the 96-well plate. A total of 254 isolates were obtained, and their taxonomic identity was assigned using 16S rRNA sequencing. Figure 1 demonstrates the shift in red and green fluorescence signals of selected nano-wells containing slow growing microbes from 24h to 11 days post loading and shows the location of these wells on the Prospector arraysDetailed information of the time requirements for sample preparation, array loading and transferring to 96-well plates followed by bacterial identification can be found in the GALT Application Note on Isolation and Cultivation of Bacterial from a Soil Sample1. For this experiment, minor steps were modified: A) the day positive wells were transferred from arrays to 96-well plates was extended to between 6 and 18 days and B) selection of positive isolates from 96-well plates was extended to those that showed growth from day 6 onwards.

Identification of Slow Growing Bacteria Isolates from Soil A portion of the 16S rRNA gene was amplified using the universal primers (27F and 1391R) and sequenced using Sanger sequencing technology with 27F. The 16S rRNA sequences were identified at the genus or higher taxonomic level using the SILVA database. Figure 2 shows the taxonomy and relative abundance of the slow-growing microbe collection from soil. The 254 isolate collection represented common soil phyla that comprises most of soil diversity: Proteobacteria, Actinobacteria, Firmicutes, Bacteroidetes and even the rarely cultivable Acidobacteria 2-7. Among known slow growing bacteria, the collection contained representative isolates from the following genera.

The GALT Prospector™ is a system for high-throughput isolation and cultivation of microbial species from complex environmental samples. The system cultivates and images microbial colonies on a proprietary microfluidic array chip containing over 6000 nano-wells for microbial cultivation. A bench-top system automates the isolation and cultivation workflow through software-driven imaging, selection and transferring of single isolates into standard multi-well plates for downstream analysis. When a diluted sample is loaded into the array, individual cells are captured in the nano-wells in isolation from other cells. This eliminates competition between slow and fast-growing microbes and enables identification and isolation of slow growers within complex samples. Here, we describe successful isolation and cultivation of taxonomically diverse slow-growing soil microbes using the GALT Prospector.

Page 2: High-throughput Isolation and Cultivation of Slow Growing … · 2020. 5. 1. · Data were analyzed and visualized using the software package R56. All points in the left-side panel

Figure 1: Green versus red fluorescence signals over time. Arrays in this study were imaged with the Prospector instrument at 24 hours, 48 hours, 7 days, and 11 days post loading (from top to bottom). Data were analyzed and visualized using the software package R56. All points in the left-side panel represent the green vs red fluorescence values for all 6109 wells on the array. Points highlighted in blue represent a select example of slow growing microbes included in this application note. Green amplitude values, indicative of microbial growth, are shown in the corresponding array heatmaps in the right-side panel. Wells highlighted in gray show the position of the wells containing slow growing bacteria on the array.

Red Amplitude

Gre

en A

mpl

itude

Green Amplitude

Page 3: High-throughput Isolation and Cultivation of Slow Growing … · 2020. 5. 1. · Data were analyzed and visualized using the software package R56. All points in the left-side panel

Bradyrhizobium19.3% of isolates correspond to the well-known slow growing genus Bradyrhizobium 8, 9. This proteobacteria genus are soil bacteria10 and is highly diverse, comprising 58 species to date11. A key characteristic of this genus is the ability to establish a nitrogen-fixing symbiosis with legumes that increases nitrogen availability to plants, making them independent of exogenous nitrogen fertilization12. For example, several Bradyrhizobium species have been shown to establish a symbiosis with soybean, highlighting the genus’s important role in sustainable agriculture8, 13-18. Bradyrhizobium are also known to perform a wide range of other biochemical functions such as photosynthesis, denitrification and aromatic compound degradation19-22. They are also able to cope with stresses such as heavy metals, extreme pH, and antibiotics23-25.

Mycobacterium21.7% of isolates correspond to the genus Mycobacterium. Although this genus, within Actinobacteria, contains slow as well as rapidly growing bacteria26 many species are characterized by slow growth rates27. The genus Mycobacterium is primarily known for its obligate parasitic human pathogenic species such as M. tuberculosis and M. leprae responsible for causing the important human diseases tuberculosis and leprosy, respectively28, 29. The genus however is extremely diverse, comprising 209 species11, and it can be separated into two

broad categories: tuberculosis-causing mycobacteria and non-tuberculous mycobacteria (NTM)30, 31. NTM are usually highly abundant in environments such as soil and water32, 33 and many NTM species are saprophytes or non-pathogenic to humans and animals34. Although mycobacteria represent a significant portion of the environmental flora, little work has been done in deciphering the role of the so-called environmental mycobacteria (EM) in the environment.

AcidobacteriaWe isolated two Acidobacteria in this study: Acidobacteria GP1 and Edaphobacter aggregans. Acidobacteria represent a highly diverse phylum found in a wide range of habitats as shown by the 16S rRNA gene-based sequencing approaches and environmental shotgun metagenomic studies2, 35-45. In soil, Acidobacteria can comprise up to 50% of 16S rRNA gene sequences in clone libraries2, 38, 46, 47 yet, little is known regarding their physiology or ecology due to the difficulties in cultivating the majority of the members of this phyla and to the poor representation of Acidobacteria in bacterial culture collections45, 48-51. Currently, the phylum is divided into 26 subdivisions (GP)52, however not all subdivisions have cultured representatives. The abundance of Acidobacteria is usually correlated with soil pH as shown by 16S rRNA gene clone libraries and pyrosequencing53. Members of subdivisions (GP) 1, 3, 4 and 6 are most often detected in soil environments2, 53. Thus, the majority of isolates cultivated

Figure 2: Taxonomy of the slow growing bacteria isolate

collection. R visualization [56] of the relative abundance of the 254-isolate collection labeled by genus and colored by phylum.

Page 4: High-throughput Isolation and Cultivation of Slow Growing … · 2020. 5. 1. · Data were analyzed and visualized using the software package R56. All points in the left-side panel

#AN6-2020-01GALT, 733 Industrial Road, San Carlos, CA 94070 − www.galt-inc.com

FOR RESEARCH USE ONLY

For more information please visit www.galt-inc.com

bradyrhizobia from Aeschynomene spp. are specific to stem-nodulated species and form a separate 16S ribosomal DNA restriction fragment length polymorphism group. Appl Environ Microbiol, 1999. 65(7): p. 3084-94. 21. Bedmar, E.J., E.F. Robles, and M.J. Delgado, The complete denitrification pathway of the symbiotic, nitrogen-fixing bacterium Bradyrhizobium japonicum. Biochem Soc Trans, 2005. 33(Pt 1): p. 141-4. 22. Torres, M.J., et al., Emerging complexity in the denitrification regulatory network of Bradyrhizobium japonicum. Biochem Soc Trans, 2011. 39(1): p. 284-8. 23. Cole, M.A. and G.H. Elkan, Multiple antibiotic resistance in Rhizobium japonicum. Appl Environ Microbiol, 1979. 37(5): p. 867-70. 24. Graham, P.H., et al., Acid pH tolerance in strains of Rhizobium and Bradyrhizobium, and initial studies on the basis for acid tolerance of Rhizobium tropici UMR1899. Can J Microbiol, 1994. 40(3): p. 198-207. 25. Tong, Z. and M.J. Sadowsky, A Selective Medium for the Isolation and Quantification of Bradyrhizobium japonicum and Bradyrhizobium elkanii Strains from Soils and Inoculants. Appl Environ Microbiol, 1994. 60: p. 581-586. 26. Rogall, T., et al., Towards a phylogeny and definition of species at the molecular level within the genus Mycobacterium. Int J Syst Bacteriol, 1990. 40(4): p. 323-30. 27. Ratledge, C., Nutrition, growth and metabolism. In The Biology of the Mycobacteria, pp. 186–212. Edited by C. Ratledge & J. Stanford. London: Academic Press. 1982. 28. Koch, R., Die aetiologie der tuberkulose. 2010. Nach, einem in der Physiologischen Gesellschaft zu Berlin am 24. März 1882 gehaltenen Vortrage. 29. Sasaki, S., et al., Mycobacterium leprae and leprosy: a compendium. Microbiol Immunol, 2001. 45(11): p. 729-36. 30. Runyon, E.H., Anonymous mycobacteria in pulmonary disease. Med Clin North Am, 1959. 43(1): p. 273-90. 31. Wolinsky, E., Mycobacterial diseases other than tuberculosis. Clin Infect Dis, 1992. 15(1): p. 1-10. 32. Falkinham, J.O., Environmental sources of nontuberculous mycobacteria. Clin Chest Med, 2015. 36(1): p. 35-41. 33. Collins, C.H., J.M. Grange, and M.D. Yates, Mycobacteria in water. J Appl Bacteriol, 1984. 57(2): p. 193-211. 34. Johansen, M.D., J.L. Herrmann, and L. Kremer, Non-tuberculous mycobacteria and the rise of Mycobacterium abscessus. Nat Rev Microbiol, 2020. 35. Chow, M.L., et al., Molecular characterization of bacterial diversity in Lodgepole pine (Pinus contorta) rhizosphere soils from British Columbia forest soils differing in disturbance and geographic source. FEMS Microbiol Ecol, 2002. 42(3): p. 347-57. 36. Kuske, C.R., et al., Comparison of soil bacterial communities in rhizospheres of three plant species and the interspaces in an arid grassland. Appl Environ Microbiol, 2002. 68(4): p. 1854-63. 37. Gremion, F., A. Chatzinotas, and H. Harms, Comparative 16S rDNA and 16S rRNA sequence analysis indicates that Actinobacteria might be a dominant part of the metabolically active bacteria in heavy metal-contaminated bulk and rhizosphere soil. Environ Microbiol, 2003. 5(10): p. 896-907. 38. Quaiser, A., et al., Acidobacteria form a coherent but highly diverse group within the bacterial domain: evidence from environmental genomics. Mol Microbiol, 2003. 50(2): p. 563-75. 39. Fierer, N., et al., Assessment of soil microbial community structure by use of taxon-specific quantitative PCR assays. Appl Environ Microbiol, 2005. 71(7): p. 4117-20. 40. Stafford, W.H., et al., Bacterial diversity in the rhizosphere of Proteaceae species. Environ Microbiol, 2005. 7(11): p. 1755-68. 41. Sanguin, H., et al., Potential of a 16S rRNA-based taxonomic microarray for analyzing the rhizosphere effects of maize on Agrobacterium spp. and bacterial communities. Appl Environ Microbiol, 2006. 72(6): p. 4302-12. 42. Zhang, Y., et al., Community structure and elevational diversity patterns of soil Acidobacteria. J Environ Sci, 2014. 26(8): p. 1717-24. 43. Kielak, A., et al., Phylogenetic diversity of Acidobacteria in a former agricultural soil. ISME J, 2009. 3(3): p. 378-82. 44. da C Jesus, E., et al., Changes in land use alter the structure of bacterial communities in Western Amazon soils. ISME J, 2009. 3(9): p. 1004-11. 45. Navarrete, A.A., et al., Acidobacterial community responses to agricultural management of soybean in Amazon forest soils. FEMS Microbiol Ecol, 2013. 83(3): p. 607-21. 46. Hugenholtz, P., B.M. Goebel, and N.R. Pace, Impact of culture-independent studies on the emerging phylogenetic view of bacterial diversity. J Bacteriol, 1998. 180(18): p. 4765-74. 47. Barns, S.M., S.L. Takala, and C.R. Kuske, Wide distribution and diversity of members of the bacterial kingdom Acidobacterium in the environment. Appl Environ Microbiol, 1999. 65(4): p. 1731-7. 48. Bryant, D.A., et al., Candidatus Chloracidobacterium thermophilum: an aerobic phototrophic Acidobacterium. Science, 2007. 317(5837): p. 523-6. 49. Lee, S.H., J.O. Ka, and J.C. Cho, Members of the phylum Acidobacteria are dominant and metabolically active in rhizosphere soil. FEMS Microbiol Lett, 2008. 285(2): p. 263-9. 50. da Rocha, U.N., L. van Overbeek, and J.D. van Elsas, Exploration of hitherto-uncultured bacteria from the rhizosphere. FEMS Microbiol Ecol, 2009. 69(3): p. 313-28. 51. Eichorst, S.A., C.R. Kuske, and T.M. Schmidt, Influence of plant polymers on the distribution and cultivation of bacteria in the phylum Acidobacteria. Appl Environ Microbiol, 2011. 77(2): p. 586-96. 52. Barns, S.M., et al., Acidobacteria phylum sequences in uranium-contaminated subsurface sediments greatly expand the known diversity within the phylum. Appl Environ Microbiol, 2007. 73(9): p. 3113-6. 53. Jones, R.T., et al., A comprehensive survey of soil acidobacterial diversity using pyrosequencing and clone library analyses. ISME J, 2009. 3(4): p. 442-53. 54. Kielak, A.M., et al., The Ecology of Acidobacteria: Moving beyond Genes and Genomes. Front Microbiol, 2016. 7: p. 744. 55. Koch, I.H., et al., Edaphobacter modestus gen. nov., sp. nov., and Edaphobacter aggregans sp. nov., acidobacteria isolated from alpine and forest soils. Int J Syst Evol Microbiol, 2008. 58(Pt 5): p. 1114-22. 56. Team R Core, R: A language and environment for statistical computing. 2019, R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. 57. Green, P.N. and J.K. Ardley. Review of the genus Methylobacterium and closely related organisms: a proposal that some Methylobacterium species be reclassified into a new genus, Methylorubrum gen. nov. International Journal of Systematic and Evolutionary Microbiology, 2018. 68(9): p. 2727-2748. 58. Chistoserdova, L., Kalyuzhnaya, M. G., & Lidstrom, M. E. The Expanding World of Methylotrophic Metabolism. Annual Review of Microbiology, 2009. 63(1), 477–499. 59. Sørensen, S.R., Z. Ronen, and J. Aamand, Isolation from agricultural soil and characterization of a Sphingomonas sp. able to mineralize the phenylurea herbicide isoproturon. Appl Environ Microbiol, 2001. 67(12): p. 5403-9. 60. Leys, N. M. E. J., Ryngaert, A., Bastiaens, L., Verstraete, W., Top, E. M., & Springael, D. Occurrence and Phylogenetic Diversity of Sphingomonas Strains in Soils Contaminated with Polycyclic Aromatic Hydrocarbons. Applied and Environmental Microbiology, 2004. 70(4), 1944–1955. 61. Green, S.J., et al., Denitrifying bacteria isolated from terrestrial subsurface sediments exposed to mixed-waste contamination. Appl Environ Microbiol, 2010. 76(10): p. 3244-54. 62. Brown-Elliott, B.A., et al., Clinical and laboratory features of the Nocardia spp. based on current molecular taxonomy. Clin Microbiol Rev, 2006. 19(2): p. 259-82. 63. Topp, E., et al., Characterization of S-triazine herbicide metabolism by a Nocardioides sp. isolated from agricultural soils. Appl Environ Microbiol, 2000. 66(8): p. 3134-41. 64. Yoon, J.H., C.H. Lee, and T.K. Oh, Nocardioides lentus sp. nov., isolated from an alkaline soil. Int J Syst Evol Microbiol, 2006. 56(Pt 1): p. 271-5.

to date belong to the subdivision GP154. Both isolates recovered using the Prospector system in this study correspond to subdivision 1 (GP1). One of the isolates obtained correlates taxonomically to Edaphobacter aggregans. E. aggregans was originally isolated from a protorendzina in a deciduous forest near Würzburg, northern Bavaria, Germany55. The type species E. aggregans Wbg-1T is able to grow in a pH range between 4.0-7.0 and has a slow growth, visible colonies on agar can be seen after 2-3 weeks of incubation55. Among other known slow growing bacteria isolated, the collection contains many representative isolates from the Proteobacteria genus Methylobacterium57 (17.7%). Methylotrophs are unique in that they can use one-carbon compounds like methane or methanol58. The collection also includes isolates from the genera Sphingomonas59, these are often isolated from soil and have been demonstrated to have potential to aid in bioremediation of soils60. As well as isolates from the genera Rhodanobacter61, including Nocardia62 and Nocardiodes63, 64 from the Actinomycetales order. While microbial function cannot be inferred solely from a taxonomic assignment, the Prospector system is a powerful tool to isolate slow growing microbes and can be combined with downstream molecular profiling techniques like whole genome sequencing to investigate the potential function of slow growing bacteria.

Bibliography1. #AN4-2019-11, Isolation and Cultivation of Bacteria From a Soil Sample. General Automation Lab Technologies, GALT. 2019. 2. Janssen, P.H., Identifying the dominant soil bacterial taxa in libraries of 16S rRNA and 16S rRNA genes. Appl Environ Microbiol, 2006. 72(3): p. 1719-28. 3. Fierer, N., et al., Global patterns in belowground communities. Ecol Lett, 2009. 12(11): p. 1238-49. 4. Fierer, N., et al., Cross-biome metagenomic analyses of soil microbial communities and their functional attributes. Proc Natl Acad Sci U S A, 2012. 109(52): p. 21390-5. 5. Lauber, C.L., et al., Pyrosequencing-based assessment of soil pH as a predictor of soil bacterial community structure at the continental scale. Appl Environ Microbiol, 2009. 75(15): p. 5111-20. 6. Chu, H., et al., Soil bacterial diversity in the Arctic is not fundamentally different from that found in other biomes. Environ Microbiol, 2010. 12(11): p. 2998-3006. 7. Tecon, R. and D. Or, Cooperation in carbon source degradation shapes spatial self-organization of microbial consortia on hydrated surfaces. Sci Rep, 2017. 7: p. 43726. 8. Jordan, D.C., NOTES: Transfer of Rhizobium japonicum Buchanan 1980 to Bradyrhizobium gen. nov., a Genus of Slow-Growing, Root Nodule Bacteria from Leguminous Plants. Int J Syst Evol Micr, 1982. 32(1): p. 136. 9. Ormeño-Orrillo, E. and E. Martínez-Romero, A Genomotaxonomy View of the Bradyrhizobium Genus. Front Microbiol, 2019. 10: p. 1334. 10. Vincent, J.M., A Manual for the Practical Study of Root-nodule Bacteria. 1970: International Biological Programme, Blackwell Scientific. 11. Parte, A.C., LPSN – List of Prokaryotic names with Standing in Nomenclature (bacterio.net), 20 years on. Int J Syst Evol Micr, 2018. 68(6): p. 1825. 12. van Rhijn, P. and J. Vanderleyden, The Rhizobium-plant symbiosis. Microbiol Rev, 1995. 59(1): p. 124-42. 13. Kuykendall, L.D., et al., Genetic diversity in Bradyrhizobium japonicum Jordan 1982 and a proposal for Bradyrhizobium elkanii sp.nov. Can J Microbiol, 1992. 38(6): p. 501-505. 14. Xu, L.M., et al., Bradyrhizobium liaoningense sp. nov., isolated from the root nodules of soybeans. Int J Syst Bacteriol, 1995. 45(4): p. 706-11. 15. Zhang, Y.M., et al., Robust markers reflecting phylogeny and taxonomy of rhizobia. PLoS One, 2012. 7(9): p. e44936. 16. Delamuta, J.R., et al., Polyphasic evidence supporting the reclassification of Bradyrhizobium japonicum group Ia strains as Bradyrhizobium diazoefficiens sp. nov. Int J Syst Evol Microbiol, 2013. 63(Pt 9): p. 3342-51. 17. Wang, Y.C., et al., Proposal of Ensifer psoraleae sp. nov., Ensifer sesbaniae sp. nov., Ensifer morelense comb. nov. and Ensifer americanum comb. nov. Syst Appl Microbiol, 2013. 36(7): p. 467-73. 18. Yu, X., et al., Bradyrhizobium ottawaense sp. nov., a symbiotic nitrogen fixing bacterium from root nodules of soybeans in Canada. Int J Syst Evol Microbiol, 2014. 64(Pt 9): p. 3202-7. 19. Okubo, T., et al., Complete genome sequence of Bradyrhizobium sp. S23321: insights into symbiosis evolution in soil oligotrophs. Microbes Environ, 2012. 27(3): p. 306-15. 20. Molouba, F., et al., Photosynthetic