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Implications of past and present genetic connectivity for management of the saltwater crocodile (Crocodylus porosus)
- Source :
- Evolutionary Applications, Vol 16, Iss 4, Pp 911-935 (2023)
- Publication Year :
- 2023
- Publisher :
- Wiley, 2023.
-
Abstract
- Abstract Effective management of protected species requires information on appropriate evolutionary and geographic population boundaries and knowledge of how the physical environment and life‐history traits combine to shape the population structure and connectivity. Saltwater crocodiles (Crocodylus porosus) are the largest and most widely distributed of living crocodilians, extending from Sri Lanka to Southeast Asia and down to northern Australia. Given the long‐distance movement capabilities reported for C. porosus, management units are hypothesised to be highly connected by migration. However, the magnitude, scale, and consistency of connection across managed populations are not fully understood. Here we used an efficient genotyping method that combines DArTseq and sequence capture to survey ≈3000 high‐quality genome‐wide single nucleotide polymorphisms from 1176 C. porosus sampled across nearly the entire range of the species in Queensland, Australia. We investigated historical and present‐day connectivity patterns using fixation and diversity indices coupled with clustering methods and the spatial distribution of kin pairs. We inferred kinship using forward simulation coupled with a kinship estimation method that is robust to unspecified population structure. The results demonstrated that the C. porosus population has substantial genetic structure with six broad populations correlated with geographical location. The rate of gene flow was highly correlated with spatial distance, with greater differentiation along the east coast compared to the west. Kinship analyses revealed evidence of reproductive philopatry and limited dispersal, with approximately 90% of reported first and second‐degree relatives showing a pairwise distance of
Details
- Language :
- English
- ISSN :
- 17524571
- Volume :
- 16
- Issue :
- 4
- Database :
- Directory of Open Access Journals
- Journal :
- Evolutionary Applications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.6a41b36ff005420d97fca6145fcbb131
- Document Type :
- article
- Full Text :
- https://doi.org/10.1111/eva.13545