Uma Ramakrishnan

This study assesses non-MHC immune gene diversity in tigers using whole-genome data, finding higher variation at immune receptor genes and signs of balancing selection on Toll-like receptors.

This study uses landscape genetics to analyze sloth bear populations in the Indian Terai, finding agriculture and proximity to water as key barriers to gene flow and highlighting low genetic diversity.

The paper compares spatial capture-recapture (SECR) and space-to-event (STE) models for estimating dhole density using fecal DNA and camera-trap data, finding STE estimates comparable to SECR when viewshed is accurately defined.

The paper presents a collaborative framework for monitoring dhole populations using fecal DNA and SECR models, showing stable densities in some areas and highlighting the role of citizen-volunteers in conservation.

The study detects Rickettsia and Borrelia in rodents from southern India, highlighting their tissue-specific distribution and potential public health risks.

This study investigates the genetic structure of invasive Lantana camara in India and finds that self-fertilization, not geography, drives its population structure and flower color variation.

The paper evaluates multispecies functional connectivity in a felid landscape, finding that existing tiger corridors are inefficient and that multispecies approaches improve conservation planning.

This study identifies genetic divergence in tigers across northeast India, showing that landscape resistance and demographic history, not just geographic distance, drive genetic patterns.

This study finds that dietary specialization influences elevational migration in birds, with specialists migrating to track resources and generalists staying at high elevations and supplementing their diet with fruits.

The paper examines ploidy variation in invasive Lantana camara populations in India, finding tetraploids dominate and no genetic differentiation among cytotypes.

The paper examines how anthropogenic habitats affect gut microbiome composition in Southern Indian bats, finding diet-specific taxonomic and functional diversity with signs of functional homogenization due to pollution.

This study compares DNA metabarcoding and mechanical sorting for analyzing tiger diets in Ranthambore Tiger Reserve, finding metabarcoding more effective at detecting prey diversity and biomass.

The paper examines how anthropogenic factors shape co-occurrence patterns in a meso-carnivore community in a semi-arid landscape, revealing species-specific responses to human influence.

This study uses whole-genome sequencing of 41 snow leopards to show they have the lowest genetic diversity of any big cat species due to long-term small population size, not recent inbreeding.

This study uses graph theory to analyze connectivity patterns across 11 Indian carnivore species in diverse landscapes, finding that larger species better overcome fragmentation but depend on high-quality patches, while landscape features influence network-level connectivity more than species traits.

The study investigates the genetic structure and dispersal patterns of Ficus elastica in Meghalaya, finding that wind and topography limit gene flow across river valleys, highlighting the need for conservation efforts.

The paper investigates Bartonella prevalence in small mammals and ectoparasites, finding ectoparasites drive transmission and evidence of historic spillover.

The paper identifies five novel adenovirus lineages in small mammals from the Western Ghats, highlighting unexplored viral diversity and zoonotic potential.

The paper introduces Feliplex, a multiplex microsatellite panel for simultaneous genotyping of multiple felid species, demonstrating its effectiveness in population monitoring and genetic structure analysis.

The paper introduces IRIIS, a framework that integrates population genomics, fish biology, and fisheries policies to assess overexploitation risk in interjurisdictional fisheries.

The paper uses fecal samples to analyze genetic connectivity in gaur and sambar in central India, revealing species-specific responses to habitat fragmentation and highlighting the need for multi-species conservation strategies.

The paper uses trace DNA from kill sites to identify individual tigers, finding that shed hair samples are most effective for individual identification.

The paper reports genomic surveillance of SARS-CoV-2 in Bengaluru, India, across three pandemic waves, identifying 18 clades and 196 lineages, with Delta dominant in the second wave and Omicron BA.2 dominant in the third.

The paper presents high-quality near-chromosomal genome assemblies of Indian tigers and identifies genetic features related to their apex-predator traits and conservation.

This study analyzes tiger genomes to understand their evolutionary history, finding genetic differentiation, recent divergence, and selection pressures in different subspecies.

The paper develops a metabarcoding workflow to identify vulture species, sex, and diet from fecal samples, finding domestic livestock dominate the diet.

The paper shows that shed hair samples provide sufficient DNA quality and quantity for genome-wide SNP analysis and reliable pedigree reconstruction in wild tigers.

The paper uses coalescent theory to analyze migration network motifs and their impact on genetic diversity and differentiation in small population networks.

This paper develops a cost-effective genotyping method using low-quality DNA samples for conservation applications, demonstrating its utility in identifying tigers and tracking conch trade.

The paper uses landscape genetics and spatial simulations to assess future tiger extinction risks in Central India under different land-use scenarios.