Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/128410
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dc.titleENVIRONMENTAL DNA FOR NEXT GENERATION BIODIVERSITY DETECTION AND FISH DIET ANALYSIS IN TROPICAL FRESH WATERS
dc.contributor.authorLIM KHAI MING NICHOLAS
dc.date.accessioned2016-10-13T18:00:19Z
dc.date.available2016-10-13T18:00:19Z
dc.date.issued2016-07-21
dc.identifier.citationLIM KHAI MING NICHOLAS (2016-07-21). ENVIRONMENTAL DNA FOR NEXT GENERATION BIODIVERSITY DETECTION AND FISH DIET ANALYSIS IN TROPICAL FRESH WATERS. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/128410
dc.description.abstractThe use of environmental DNA (eDNA) is an emerging method for the detection and monitoring of freshwater biodiversity, which has yet to be extensively tested in the tropics. Here, two major applications of eDNA are explored in proof-of-concept studies. eDNA in small volumes of water sampled extensively across horizontal and vertical space from two urban freshwater reservoirs reveals signatures for over 500 metazoan species from a metabarcoding analysis using a single universal primer pair, including rare, alien and nuisance species, and many unknown species. eDNA data also enables extensive comparisons of community composition. Metagenomics and metabarcoding analyses of eDNA in the gut contents of fish from the same reservoirs tell of their diverse animal diets, and reveal likely predators of nuisance midges. eDNA thus promises to be a cost-effective and minimally invasive tool for the regular monitoring of the biodiversity in tropical freshwater environments, although further methods development is imperative.
dc.language.isoen
dc.subjecteDNA, metabarcoding, metagenomics, environmental DNA, biodiversity detection, diet analysis
dc.typeThesis
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.contributor.supervisorYEO CHONG JINN, DARREN
dc.contributor.supervisorMEIER, RUDOLF
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF SCIENCE
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Master's Theses (Open)

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