NSFDEB-NERC: Integrating computational, phenotypic, and population-genomic approaches to reveal processes of cryptic speciation and gene flow in Madag
Lead Research Organisation:
University College London
Department Name: Genetics Evolution and Environment
Abstract
With the loss of global biodiversity, signals of the speciation process are progressively being erased as populations dwindle and species disappear. We propose to develop and implement an integrative approach that will draw from new advances in computational biology, field ecology, and population genomics. We anticipate that our approach will be broadly applicable to other non-model biological systems, especially those that diverged recently and rapidly and for which species boundaries are cryptic. Our findings, as well as in-country collaboration, will have immediate relevance to conservation policy in the ecologically complex and poorly studied regions of Southeastern Madagascar.
People |
ORCID iD |
Ziheng Yang (Principal Investigator) |
Publications
Flouri T
(2023)
Efficient Bayesian inference under the multispecies coalescent with migration.
in Proceedings of the National Academy of Sciences of the United States of America
Pavón-Vázquez CJ
(2024)
Gene Flow and Isolation in the Arid Nearctic Revealed by Genomic Analyses of Desert Spiny Lizards.
in Systematic biology
Thawornwattana Y
(2023)
Major patterns in the introgression history of Heliconius butterflies
Thawornwattana Y
(2023)
Major patterns in the introgression history of Heliconius butterflies
in eLife
Thawornwattana Y
(2023)
Major patterns in the introgression history of Heliconius butterflies
Thawornwattana Y
(2023)
Major patterns in the introgression history of Heliconius butterflies
Thawornwattana Y
(2023)
Inferring the direction of introgression using genomic sequence data
Thawornwattana Y
(2023)
Major patterns in the introgression history of Heliconius butterflies
in eLife
Tiley GP
(2023)
Estimation of species divergence times in presence of cross-species gene flow.
in Systematic biology