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Genome-wide phylogeography reveals cryptic speciation in the circumglobal planktonic calcifier Limacina bulimoides.

Le Qin ChooG SpagliardiM MalinskyM ChoquetErica GoetzeG HoarauK T C A Peijnenburg
Published in: Molecular ecology (2023)
Little is known about when and how planktonic species arise and persist in the open ocean without apparent dispersal barriers. Pteropods are planktonic snails with thin shells susceptible to dissolution that are used as bio-indicators of ocean acidification. However, distinct evolutionary units respond to acidification differently and defining species boundaries is therefore crucial for predicting the impact of changing ocean conditions. In this global population genomic study of the shelled pteropod Limacina bulimoides, we combined genetic (759,000 single nucleotide polymorphisms) and morphometric data from 161 individuals, revealing three major genetic lineages (F ST = 0.29 to 0.41): an 'Atlantic lineage' sampled across the Atlantic, an 'Indo-Pacific lineage' sampled in the North Pacific and Indian Ocean, and a 'Pacific lineage' sampled in the North and South Pacific. A time-calibrated phylogeny suggests that the lineages diverged about one million years ago, with estimated effective population size remaining high (~10 million) throughout Pleistocene glacial cycles. We do not observe any signatures of recent hybridisation, even in areas of sympatry in the North Pacific. While the lineages are reproductively isolated, they are morphologically cryptic, with overlapping shell shape and shell colour distributions. Despite showing that the circumglobal L. bulimoides consists of multiple species with smaller ranges than initially thought, we found that these pteropods still possess high levels of genetic variability. Our study adds to the growing evidence that speciation is often overlooked in the open ocean, and suggests the presence of distinct biological species within many other currently defined circumglobal planktonic species.
Keyphrases
  • genome wide
  • copy number
  • dna methylation
  • minimally invasive
  • single cell
  • genetic diversity
  • tertiary care
  • magnetic resonance
  • machine learning
  • deep learning
  • artificial intelligence