Palghat gap reveals presence of two diverged populations of Nilgiri tahr (Nilgiritragus hylocrius) in Western Ghats, India. Issue 1 (2nd January 2018)

• Record Type: Journal Article
• Authors: Joshi, Bheem Dutt; Matura, Rakesh; M. A., Predit; De, Rahul; Pandav, Bivash; Sharma, Vipin; Nigam, Parag; Goyal, Surendra Prakash
• Is Part Of: Mitochondrial DNA. Volume 3:Issue 1(2018)
• Page Start: 245
• Page End: 249
• Publication Date: 2018-01-02
• Subjects: Low genetic diversity -- population divergence -- bottleneck -- mtDNA -- cytochrome b; Mitochondrial DNA -- Periodicals; 572.869
• DOI: 10.1080/23802359.2018.1436990
• Languages: English
• ISSNs: 2380-2359

Abstract

Abstract: Genetic analysis is an important tool in understanding population structure, genetic diversity, and phylogenetics of endangered species likely to be affected by microevolution and anthropogenic factors. Western Ghats landscape is one of the identified biodiversity hotspots in India, and micro-evolutionary processes are observed in this landscape due to the presence of the gaps in the mountain ranges. Nilgiri tahr is endemic to and distributed in this landscape while very little is known about genetic characteristics, population structure and impact of these gaps on the species. In the present study, two different populations of Nilgiri tahr from the north (NPG) and south (SPG) of Palghat gap (PG) were studied using the cytochrome b gene (Cyt b; 310 bp) of mtDNA genome in the Western Ghats, India. Two variable sites were observed in the Cyt b fragment while the mean pairwise genetic distance between these two populations was 0.007. All the samples phylogenetically clustered in either north or south of PG. The presence of shallow divergence indicates the presence of suitable habitat in past which may have facilitated movement between NPG and SPG. A subsequent change in Paleo-climatic conditions and gradual formation of PG may have resulted in population diversification during the Pleistocene. Besides, Forensically Informative Nucleotide Sequence (FINS) observed would help in geo-assigning any individual from NPG or SPG to understand the likely influences on population demography due to poaching.