Exploring Feeding Ecology and Trophic Relationships in Marine Predators Using Lipid Profiling
Dr. Shashikant PatilProfessor, Department of uGDX, ATLAS SkillTech University, Mumbai, Maharashtra, India. shashikant.patil@atlasuniversity.edu.in0000-0002-8835-908X
R. Asha RajivProfessor, Department of Physics, School of Sciences, JAIN (Deemed-to-be University), Bangalore, India. asha.rajiv@jainuniversity.ac.in0000-0002-4058-2178
Varun Kumar SharmaAssociate Professor, Department of Biotechnology & Microbiology, Noida International University, Greater Noida, Uttar Pradesh, India. varun1.sharma@niu.edu.in0000-0001-8575-6939
Dhruv KumarResearch Scholar, Chitkara University Institute of Engineering and Technology, Centre for Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India. dhruvkumar.soni@chitkara.edu.in0009-0007-7189-8179
Ecosystem managers have practical difficulties in gaining suitable nutrition data for many shark with chimera species due to the huge sample volumes needed for stomach content research. For conservation and ecosystem to be successful, it is crucial to comprehend the feeding ecology of these species. This research investigates the diet composition of six species: Indian Oceanic Blacktip Shark (Carcharhinus melanopterus), Great White Shark (Carcharodon carcharias), Mako Shark (Isurusoxyrinchus), Giant Trevally (Caranx ignobilis), Tuna (Thunnus spp.), and Barracuda (Sphyraena spp.) using Lipid Profile (LA) analysis. In general, the LPs of chondrichthyan and possible prey species match information on stomach content. The results indicate that the Indian oceanic blacktip shark primarily feeds on smaller fish and invertebrates, while the great white shark targets larger marine mammals and other vertebrates. The Mako Shark preys on pelagic fish and squid, and the Giant Trevally mainly consume smaller fish and squid. Tuna predominantly hunt pelagic fish, including squid, and Barracuda primarily target smaller fish. These findings demonstrate that LP analysis is a valuable tool for analyzing the diets of sharks and large predatory fish. It provides insights into interspecific differences in resource consumption patterns, dietary specializations and the partitioning of ecological niches. Because sample sizes are frequently constrained, this approach works well for researching vulnerable and deep-sea species.