Abstract
AbstractProtein-based biomarkers can be a promising approach for identification and real-time monitoring of the bio-inoculants employed under sustainable agricultural plans. In this perspective, differential proteomics of psychrophilic diazotroph Rhodococcus qingshengii S10107 (JX173283) was performed to unravel its adaptive responses towards low-temperature nitrogen deficiency and identification of a biomarker for respective physiological conditions. LC-MS/MS-based proteome analysis mapped more than 4830 proteins including 77 up-regulated and 47 down-regulated proteins (p ≤ 0.05). Differential expression of the structural genes of nif regulon viz. nifH, nifD, and nifK along with their response regulators i.e. nifA, nifL, and nifB indicated that the nitrogenase complex was activated successfully. Besides up-regulating the biosynthesis of certain amino acids viz. Leucine, Lysine, and Alanine; the expression of the peptidoglycan synthesis proteins were also increased; while, the enzymes involved in Lipid biosynthesis were found to decrease. Furthermore, two important enzymes of the pentose phosphate pathway viz. Transketolase and Transaldolase along with Ribose import ATP-binding protein RbsA were also found to induce significantly under low temperature a nitrogen deficient condition, which suggests the cellular need for ample ribose sugar instantly. Additionally, comparative protein profiling of S10107 strain with our previous studies revealed that CowN protein was significantly up-regulated in all the cases under low-temperature nitrogen deficient conditions and therefore, can be developed as a biomarker. Conclusively, present study for the first time provides an in-depth proteome profiling of R. qingshengii S10107 and proclaims CowN as a potential protein biomarker for monitoring BNF under cold niches.
Publisher
Springer Science and Business Media LLC
Reference44 articles.
1. Global Industry Report. Biofertilizers Market Size, Share & Trends Analysis Report By Product (Nitrogen Fixing, Phosphate Solubilizing), By Application (Seed Treatment, Soil Treatment), And Segment Forecasts, 2012–2022. https://www.grandviewresearch.com/industry-analysis/biofertilizers-industry. Accessed on 11/04/2019 (2018).
2. Saiz, E., Sgouridis, F., Drijfhout, F. P. & Ullah, S. Biological nitrogen fixation in peatlands: Comparison between acetylene reduction assay and 15N2 assimilation methods. Soil. Biol. Biochem. 131, 157–165, https://doi.org/10.1016/j.soilbio.2019.01.011 (2019).
3. Roley, S. S., Xue, C., Hamilton, S. K., Tiedje, J. M. & Robertson, G. P. Isotopic evidence for episodic nitrogen fixation in switchgrass (Panicum virgatum L.). Soil. Biol. Biochem. 129, 90–98, https://doi.org/10.1016/j.soilbio.2018.11.006 (2019).
4. Blagodatskaya, E. & Kuzyakov, Y. Active microorganisms in soil: Critical review of estimation criteria and approaches. Soil. Biol. Biochem. 67, 192–211, https://doi.org/10.1016/j.soilbio.2013.08.024 (2013).
5. Chen, W., Zhang, X., Xiong, D., Jin, J. M. & Tang, S. Y. Engineering the effector specificity of regulatory proteins for the in vitro detection of biomarkers and pesticide residues. Appl. Microbiol. Biotechnol. 103, 3205–3213, https://doi.org/10.1007/s00253-019-09679-1 (2019).
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