Extensive copy number variations in admixed Indian population of African ancestry: potential involvement in adaptation.
Admixture mapping has been enormously resourceful in identifying genetic variations linked to phenotypes, adaptation, and diseases. In this study through analysis of copy number variable regions (CNVRs), we report extensive restructuring in the genomes of the recently admixed African-Indian population (OG-W-IP) that inhabits a highly saline environment in Western India. The study included subjects from OG-W-IP (OG), five different Indian and three HapMap populations that were genotyped using Affymetrix version 6.0 arrays. Copy number variations (CNVs) detected using Birdsuite were used to define CNVRs. Population structure with respect to CNVRs was delineated using random forest approach. OG genomes have a surprising excess of CNVs in comparison to other studied populations. Individual ancestry proportions computed using STRUCTURE also reveals a unique genetic component in OGs. Population structure analysis with CNV genotypes indicates OG to be distant from both the African and Indian ancestral populations. Interestingly, it shows genetic proximity with respect to CNVs to only one Indian population IE-W-LP4, which also happens to reside in the same geographical region. We also observe a significant enrichment of molecular processes related to ion binding and receptor activity in genes encompassing OG-specific CNVRs. Our results suggest that retention of CNVRs from ancestral natives and de novo acquisition of CNVRs could accelerate the process of adaptation especially in an extreme environment. Additionally, this population would be enormously useful for dissecting genes and delineating the involvement of CNVs in salt adaptation.
G.N. Ramachandran Knowledge Centre for Genome Informatics, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Ankita
A
Narang
Genomics and Molecular Medicine, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Pankaj
P
Jha
G.N. Ramachandran Knowledge Centre for Genome Informatics, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Dhirendra
D
Kumar
G.N. Ramachandran Knowledge Centre for Genome Informatics, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Rintu
R
Kutum
G.N. Ramachandran Knowledge Centre for Genome Informatics, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Anupam Kumar
AK
Mondal
G.N. Ramachandran Knowledge Centre for Genome Informatics, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Debasis
D
Dash
G.N. Ramachandran Knowledge Centre for Genome Informatics, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India Genomics and Molecular Medicine, Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, New Delhi, India ddash@igib.res.in mitali@igib.res.in.
Mitali
M
Mukerji
D000222:Adaptation, Physiological; D044383:Black People / Q000235:genetics*; D056915:DNA Copy Number Variations; D015894:Genome, Human; D006801:Humans; D007194:India; D011153:Population / Q000235:genetics*
African-Indian; CNVs; adaptation; admixture; population structure; selection