Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/169363
Title: Genomics approaches to elucidate the evolution and population histories of Southeast Asian forest trees and their connection to biogeography: a case study of Fagraea sensu lato
Authors: Cho, Nicholas Rui Wen
Keywords: Science::Biological sciences
Issue Date: 2023
Publisher: Nanyang Technological University
Source: Cho, N. R. W. (2023). Genomics approaches to elucidate the evolution and population histories of Southeast Asian forest trees and their connection to biogeography: a case study of Fagraea sensu lato. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/169363
Project: 04INS000475C220OOE01 
Abstract: Southeast Asia (SEA) harbors exceptional species richness, but its forests are under anthropogenic threats, in a refugial state, and understudied. Parts of SEA are in the Indo-Australia Archipelago (IAA), which contains a quarter of all terrestrial species. Thus, we seek to establish Fagraea sensu lato and tembusu as models, species found widely across SEA, to observe how climate and sea level affects the population histories of SEA and IAA forests, by utilizing both bioinformatic tools and ecological techniques. The disputed phylogeny of Fagraea sensu lato is to be resolved and incomplete lineage sorting (ILS) examined in this genus. Effective population sizes are hypothesized to increase as climatically suitable area increases, and decrease as sea level increases; but the inverse was found for most samples, suggesting that local conditions or other factors are at play. In addition, a method was developed to detect ILS; and genes and genomic regions harboring ILS.
URI: https://hdl.handle.net/10356/169363
DOI: 10.32657/10356/169363
Schools: School of Biological Sciences 
Rights: This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SBS Theses

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