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Functional signature analysis of extreme Prakriti endo-phenotypes in gut microbiome of western Indian rural population


Fauzul Mobeen, Vikas Sharma & Tulika Prakash*



School of Basic Sciences, Indian Institute of Technology Mandi, Kamand 175005, Mandi, Himachal Pradesh, India



Fauzul Mobeen E-mail: faizgwalior@gmail.com; Vikas Sharma - vikas.sharma.biotech@gmail.com; Tulika Prakash - tulika@iitmandi.ac.in; Phone +91-1905-267060; *Corresponding author


Article Type

Research Article



Received June 26, 2019; Accepted June 30, 2019; Published July 31, 2019



Ayurveda is practiced in India from ancient times and stratifies the individuals based on their Prakriti constitution. Advancements in modern science have led to the association of Prakriti with molecular, biochemical, genomic and other entities. We have recently explored the gut microbiome composition and microbial signatures in healthy extreme Prakriti endo-phenotypes. However, their functional potentials are still lacking. The present study includes 63 females (29 Vata, 11 Pitta, and 23 Kapha) and 50 males (13 Vata, 18 Pitta, and 19 Kapha) samples. The predictive functional profiling and organism level functional traits of the human gut microbiome have been carried out in Prakriti groups using imputed metagenomic approach. A higher functional level redundancy is found than the taxonomy across the Prakriti groups, however the dominant taxa contributing to the functional profiles are found to be different. A high number of functional signatures specific to the Prakriti groups were identified in female datasets. Some of the functional signatures were found to be gender specific. For example, a higher abundance of microbes contributing potential pathogenic and stress tolerance related functions was found in Kapha in female and Pitta in male. The functional signatures correlated well with phenotypes and disease predisposition of Prakriti groups.



Gut microbiome; Ayurveda; Prakriti, predictive functional profiling, Vata, Pitta, Kapha, imputed metagenomics.



Mobeen et al. Bioinformation 15(7): 490-505 (2019)


Edited by

P Kangueane






Biomedical Informatics



This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.