Pathways of Pelagic Connectivity: Eukrohnia hamata (Chaetognatha) in the Arctic Ocean

• Published in: Frontiers in Marine Science
• Main Authors: Hayley M. DeHart, Leocadio Blanco-Bercial, Mollie Passacantando, Jennifer M. Questel, Ann Bucklin
• Format: Article in Journal/Newspaper
• Language: English
• Published: Frontiers Media S.A. 2020
• Subjects: zooplankton; population connectivity; Arctic Ocean; single nucleotide polymorphisms; DNA barcodes; Chaetognatha; Science; Q; General. Including nature conservation; geographical distribution; QH1-199.5; Arctic; Pacific; Atlantic Arctic; Atlantic-Arctic; Climate change; Pacific Arctic; Zooplankton
• Online Access: https://doi.org/10.3389/fmars.2020.00396; https://doaj.org/article/cb8edb0157344f7b9e41d36855ad7193

The dramatic warming of the Arctic Ocean will impact pelagic ecosystems in complex ways, including shifting patterns of species distribution and abundance, and altering migration pathways and population connectivity. Species of the Phylum Chaetognatha (arrow worms) are abundant in the zooplankton assemblage and are highly effective predators, with key roles in pelagic food webs. They are useful indicator species for impacts of climate change on marine ecosystems. This study examined the population genetic diversity, structure and connectivity of the chaetognath, Eukrohnia hamata, based on sampling from six regions defined by geography, bathymetry, and major currents flowing through the Arctic Ocean. A 528-base pair sequenced region of mitochondrial cytochrome oxidase I (mtCOI) analyzed for 131 specimens resulted in 78 haplotypes and very high haplotype diversity. Analysis of mtCOI haplotype frequencies provided no evidence of population genetic structure. Genomic Single Nucleotide Polymorphisms (SNPs) detected from the same specimens by double-digest Restriction-site Associated Digestion (ddRAD) confirmed high levels of gene flow among the regions, but supported the genetic distinctiveness of two population clusters: Atlantic–Arctic versus Pacific–Arctic. Removal of SNPs subject to selection resulted in slightly higher probability of three clusters, and suggested the possibility of local adaptation of regional populations of E. hamata. Comparative analysis revealed evidence that random selection of subsets of SNPs, perhaps impacted by different ecological and (micro) evolutionary drivers, can result in marked differences in numbers and distributional patterns of clusters and associated variation in F-statistics. Analysis of population connectivity using SNPs supported the primary migration pathway via flow from the Atlantic to the Pacific Arctic regions.