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Combinatory biotechnological intervention for gut microbiota

  • Ishu Khangwal
  • Pratyoosh ShuklaEmail author
Mini-Review

Abstract

Individual’s colonization of microbes in the gut is by birth, and there is a complex interaction between the gut microbiome and human. This interaction happens at various levels like genes, transcripts, proteins, and metabolites of different microbes present in the gut. The complete understanding of gut microflora can be studied using systems biology. Further, the contemporaneous information revealed by systems biology can be used for metabolic engineering of gut microbes. The engineered microbes having more pronounced activity helps to rejuvenate the gut microflora that plays a significant role in the management of various life-threatening diseases due to microbial imbalance. This review highlights various systems biology and metabolic engineering approaches. Moreover, this review can also emphasize on the different computational simulation models which can be further used in the efficient engineering of gut microbes. The genetically engineered models can help one to predict the significant pathways present in microbes that can be modified towards diseases treatments.

Keywords

Gut microbiome Systems biology GEMs Metabolic modeling 

Notes

Acknowledgments

The authors acknowledge the Maharshi Dayanand University, Rohtak, India, for providing infrastructure facility. PS acknowledges the Department of Microbiology, Barkatullah University, Bhopal, India, for their infrastructural support for D.Sc. Work.

Funding information

PS acknowledges the grant from DBT, Govt. of India (Grant No. BT/PR27437/BCE/8/1433/2018) and the infrastructural support from the Department of Science and Technology, New Delhi, Govt. of India, FIST grant (Grant No. 1196 SR/FST/LS-I/ 2017/4).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical statement

This manuscript does not contain any studies with human or animal participants performed by any of the authors.

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© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Enzyme Technology and Protein Bioinformatics Laboratory, Department of MicrobiologyMaharshi Dayanand UniversityRohtakIndia

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