Abstract
Aims
Typha angustifolia is a heavy metal tolerant plant that grows in a uranium mine tailings highly contaminated with iron. In this study three iron oxidizing microbes (FeOBs) isolated from Typha rhizoplane were investigated for their role in plant growth promotion (PGP). Their effect on iron nutrition in Typha under iron replete and excess condition was also evaluated.
Methods
The PGP activities of the FeOBs were studied by measuring their influence on plant growth. To investigate the mechanism of growth promotion their ability to solubilize phosphate, and to produce Indole acetic acid and siderophores were studied. The influence of the FeOBs on root to shoot partitioning of iron was tested by measuring total iron content in roots and shoots treated with microbes.
Results
The FeOBs were named as Paenibacillus cookii JGR8, (MTCC12002), Pseudomonas jaduguda JGR2 (LMG25820) and Bacillus megaterium JGR9 (MTCC12001). The siderophore producers, influenced iron accumulation in the plant root. Additionally P. pseudoalcaligenes JGR2 increased shoot iron content overcoming the root- shoot barrier that allows Typha to exclude metals from its shoot. Among the PGP mechanisms tested, ability to solubilize phosphate appeared to be most significant for increasing the plant biomass.
Conclusion
FeOBs that produce siderophore increased iron content in plant and therefore can be of immense biotechnological importance. However Biomass increase was directly correlated with increased phosphate acquisition and not with enhanced iron accumulation in Typha.
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Abbreviations
- CAS:
-
Chrome azurol S
- FeOB:
-
Iron oxidizing bacteria
- IAA:
-
Indole acetic acid
- ICPOES:
-
Inductive coupled plasma optical emission spectroscopy
- NIST SRM:
-
National institute of standards and technology standard reference materials
- PGP:
-
Plant growth promoting
- PGPR:
-
Plant growth promoting rhizobacteria
- ppm:
-
Parts per million (mg.kg−1)
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Acknowledgments
We sincerely acknowledge Council of Scientific and Industrial Research (CSIR) India and University Grants Commission, India for funding. Upal Das Ghosh acknowledges CSIR EMR- I for his fellowship. We thank Dr. SoumaleeBasu, Department of Microbiology C. U and Dr. GeetanjaliSundaram, Department of Biochemistry C.U. for critically reading the manuscript. The ICPOES measurement was performed under DAE V2 5 year plan project TULID.
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Fig. S1aFig. S1bFig. S1c
Dendogram of three bacteria generated using PHYLIP software version 3.695. Phylogenetic tree or dendogram for the individual bacteria were generated by aligning the sequence in ClustalX program followed by tree generation using Phylip 3.695 software. Bar represents 10 changes in bases. Numbers at the node indicates the bootstrap values (%). Bootstrap (n = 1000 replicates) values ≤50 % are not shown. a] P. cookie JGR8; Closely related strains of P. cookii JGR8 in BLAST analysis have been used to construct the dendogram. Paenibacillus azoreducens strain D-TSB3 is used as outgroup. (JPEG 5 kb)
b] B. megaterium JGR9; Closely related strains of B. megaterium that shows identity with JGR9 are used for constructing the dendogram. Bacillus aryyabhattai strain S4-248 is used as outgroup. (JPEG 8 kb)
c] P. jadugudaJGR2: The tree has been constructed taking the whole Pseudomonas aeruginosa group in concern (Anzai et al. 2000) Pseudomonas stutzeri was used as outgroup. (JPEG 6 kb)
Table S1
recA gene analysis of these three bacteria. The recA gene was sequenced and analyzed through tBlastx analysis. (DOCX 14 kb)
Table S2
Comparative FAME analysis of three bacteria. FAME analysis of the three bacteria was done from MTCC, IMTECH, India. The result obtained for each bacterium was tabulated and compared with other related bacteria. a] P. cookii JGR8 was compared with P. phoenicis 3PO2SA, P. barengoltzii ATCC BAA 1209, P. timonensis CIP 108005, P. macerans ATCC8244, P. lactis MB1871, P. lautus NRRL NRS666, P. glucanolyticus DSM 5162, P. polymyxa JCM2507, P. cookii LMG18419; (Benardini et al. 2011; Scheldeman et al. 2004). b] B. megateriumJGR9 was compared with B. cereus FO 011, B. pumilus FO 033, B. subtilis sub sp. Subtilis NRS744, B. tequilensis B-41771, B. vallismortis B 14890, B. megaterium DSM32; (Rooney et al. 2009; Venkateswaran et al. 2000) c] P. jaduguda JGR2 was compared with P. tuomuerensis sp. nov. 78-123T, P. mendocina CGMCC 1.1804T, P. pseudoalcaligenes CGMCC 1.1806T, P. alcaliphila JCM 10630T (Xin et al. 2009). (DOCX 24 kb)
Table S3
Calculation for ANOVA to determine statistical significance of PGP activity over plant growth. Plants were grown in presence and absence of iron (1,000 ppm) with or without bacteria. Plant lengths were measured after 2 months. Nine plants for each treatment were taken and the experiments were repeated three times. Results obtained for 27 plants per treatment were subjected to statistical analysis by ANOVA. 1. Iron replete condition a] P. cookie JGR8; b] B. megaterium JGR9; c] P. jaduguda JGR2 d] Mixed bacterial population. 2. Iron excess condition a] P. cookie JGR8; b] B. megaterium JGR9; c] P. jaduguda JGR2 d] Mixed bacterial population. (DOCX 28 kb)
Table S4
Calculation of statistical significance of iron accumulation in plant tissues by means of confidence interval. Iron accumulation in plant roots and shoots were determined by digesting the plant tissues in nitric acid and hydrogen peroxide and analyzing the digested samples by ICPOES against standard orchard leaf (NIST SRM 1571). a] Iron replete root; b] Iron replete shoot; c] Iron excess root; d] Iron excess shoot. (DOCX 15 kb)
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Ghosh, U.D., Saha, C., Maiti, M. et al. Root associated iron oxidizing bacteria increase phosphate nutrition and influence root to shoot partitioning of iron in tolerant plant Typha angustifolia . Plant Soil 381, 279–295 (2014). https://doi.org/10.1007/s11104-014-2085-x
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DOI: https://doi.org/10.1007/s11104-014-2085-x