Validating a molecular clock for nudibranchs: No fossils to the rescue
Data files
Feb 14, 2024 version files 42.51 KB
Abstract
Time-calibrated phylogenies are typically reconstructed with fossil information but for soft-bodied marine invertebrates that lack hard parts, a fossil record is lacking. In these cases, biogeographic calibrations or rates of divergence for related taxa are often used. Although nudibranch phylogenies have advanced with the input of molecular data, no study has derived a divergence rate for this diverse group of invertebrates. Here, we use an updated closure date for the Isthmus of Panama (2.8 ma) to derive the first divergence rates for chromodorid nudibranchs using multi-gene data from a geminate pair with broad phylogeographic sampling. Examining the species Chromolaichma sedna (Marcus & Marcus, 1967), we uncover deep divergences among eastern Pacific and western Atlantic clades and we erect a new species designation for the latter (Chromolaichma hemera sp. nov.). Next, we discover extensive phylogeographic structure within C. hemera sp. nov. sensu lato, thereby refuting the hypothesis of a recent introduction. Lastly, we derive divergence rates for mitochondrial and nuclear loci that exceed known rates for other gastropods and we highlight significant rate heterogeneity both among markers and taxa. Together, these findings improve understanding of nudibranch systematics and provide rates useful to apply to divergence scenarios in this diverse group.
README: Validating a molecular clock for nudibranchs – no fossils to the rescue
https://doi.org/10.5061/dryad.ns1rn8q08
This dataset contains COI, 16S and ANT gene alignments.
Description of the data and file structure
This dataset contains COI, 16S and ANT gene alignments. The naming convention used for each sequence is "Sample Field ID _RegistrationNumber", and this data can be found in Table 1 of the manuscript.
Sharing/Access information
All genetic data is available on GenBank and accession numbers are listed in Table 1 of the manuscript.
Code/Software
There is no custom code needed to analyze these files. The following programs were used to process and/or analyze data: Geneious, MAFFT, RAxML, ASAP, bPTP, R (pegas package).