Persistence of historical population structure in an endangered species despite near-complete biome conversion in California's San Joaquin Desert.
Jonathan Q RichmondDustin A WoodMichael F WestphalAmy G VandergastAdam D LeachéLawrence R SaslawH Scott ButterfieldRobert N FisherPublished in: Molecular ecology (2017)
Genomic responses to habitat conversion can be rapid, providing wildlife managers with time-limited opportunities to enact recovery efforts that use population connectivity information that reflects predisturbance landscapes. Despite near-complete biome conversion, such opportunities may still exist for the endemic fauna and flora of California's San Joaquin Desert, but comprehensive genetic data sets are lacking for nearly all species in the region. To fill this knowledge gap, we studied the rangewide population structure of the endangered blunt-nosed leopard lizard Gambelia sila, a San Joaquin Desert endemic, using restriction site-associated DNA (RAD), microsatellite and mtDNA data to test whether admixture patterns and estimates of effective migration surfaces (EEMS) can identify land areas with high population connectivity prior to the conversion of native xeric habitats. Clustering and phylogenetic analyses indicate a recent shared history between numerous isolated populations and EEMS reveals latent signals of corridors and barriers to gene flow over areas now replaced by agriculture and urbanization. Conflicting histories between the mtDNA and nuclear genomes are consistent with hybridization with the sister species G. wislizenii, raising important questions about where legal protection should end at the southern range limit of G. sila. Comparative analysis of different data sets also adds to a growing list of advantages in using RAD loci for genetic studies of rare species. We demonstrate how the results of this work can serve as an evolutionary guidance tool for managing endemic, arid-adapted taxa in one of the world's most compromised landscapes.
Keyphrases
- copy number
- genome wide
- climate change
- genetic diversity
- electronic health record
- mitochondrial dna
- dna damage
- big data
- dna repair
- healthcare
- dna methylation
- single molecule
- resting state
- functional connectivity
- machine learning
- deep learning
- cystic fibrosis
- multiple sclerosis
- trauma patients
- gene expression
- single cell
- cell free
- genome wide association study