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Published on: July 11, 2025
Pinniped phylogenetic relationships inferred using AFLP markers.
K K Dasmahapatra1, J I Hoffman, W Amos
1Galton Laboratory, Department of Biology, University College London, London, UK. k.dasmahapatra@ucl.ac.uk
Amplified fragment length polymorphisms (AFLPs) provide a robust method for animal phylogenetics. This study demonstrates their effectiveness in resolving pinniped relationships, even ancient ones, supporting their broad utility.
Area of Science:
- Genomics
- Evolutionary Biology
- Zoology
Background:
- Amplified fragment length polymorphisms (AFLPs) are established for plant phylogenetics but underutilized in mammals.
- Previous AFLP applications in animals were mainly for shallow evolutionary relationships.
Purpose of the Study:
- To assess the utility of AFLP markers for deep phylogenetic reconstruction in mammals.
- To investigate pinniped evolutionary relationships using a large AFLP dataset.
- To evaluate the congruence of AFLP phylogenies with existing molecular data.
Main Methods:
- Genotyping of 23 pinniped species using 310 AFLP markers.
- Phylogenetic analyses to determine species relationships.
- Comparison of AFLP-derived divergence times with mitochondrial DNA (mtDNA) and nuclear sequence data.
Main Results:
- A strong phylogenetic signal was detected, with individuals clustering by species.
- The AFLP phylogeny showed good agreement with existing mtDNA and nuclear sequence-based phylogenies, even for divergences ~15 million years old.
- New insights into the Phocine species group relationships were revealed.
- Evidence supported elevating two Zalophus californianus subspecies to species status.
- AFLP and sequence-based divergence time estimates exhibited strong linear correlations, indicating clock-like evolution.
Conclusions:
- AFLP markers are highly effective for phylogenetic reconstruction in mammals, including deep evolutionary divergences.
- The study clarifies pinniped evolutionary history and taxonomic relationships.
- AFLP markers demonstrate a clock-like evolutionary pattern, comparable to sequence data.
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