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Chaetognatha are highly-effective predatory components of the marine planktonic assemblages. Many species exhibit disjunct biogeographical distributions throughout the global ocean, and thus serve as sentinel species for examining climate-driven changes in ocean circulation on zooplankton species, communities, and food webs. Of particular interest are ecological changes in the Arctic, a region being drastically affected by climate change. In this study, a 650 base-pair region of the mitochondrial cytochrome oxidase I (mtCOI) gene was sequenced for 131 individuals for the chaetognath Eukrohnia hamata collected from diverse regions throughout the Arctic. DNA sequence analysis was done to characterize population genetic diversity and structure, phylogeography (i.e., geographic distribution of genetic lineages within species), and connectivity among regional populations. High haplotype diversity (Hd) and significant (p <0.02) negative values for Fu’s and Li’s F statistic imply that E. hamata is undergoing population expansion.. Patterns and pathways of population connectivity examined to test several migration hypotheses revealed that pan-Arctic population connectivity followed the primary ocean currents. The reliance of this ecologically important zooplankton species on Arctic Ocean currents has implications for future warming conditions, which have the potential to modify these currents, resulting in altered biogeographical distributions and population connectivity of Arctic zooplankton. 

The exceptionally large population size and cosmopolitan biogeographic distribution that distinguish many – but not all – marine zooplankton species generate similarly exceptional patterns of population genetic and genomic diversity and structure. The phylogenetic diversity of zooplankton has slowed the application of population genomic approaches, due to lack of genomic resources for closelyrelated species and diversity of genomic architecture, including highly-replicated genomes of many crustaceans. Use of numerous genomic markers, especially single nucleotide polymorphisms (SNPs), is transforming our ability to analyze population genetics and connectivity of marine zooplankton, and providing new understanding and different answers than earlier analyses, which typically used mitochondrial DNA and microsatellite markers. Population genomic approaches have confirmed that, despite high dispersal potential, many zooplankton species exhibit genetic structuring among geographic populations, especially at large ocean-basin scales, and have revealed patterns and pathways of population connectivity that do not always track ocean circulation. Genomic and transcriptomic resources are critically needed to allow further examination of micro-evolution and local adaptation, including identification of genes that show evidence of selection. These new tools will also enable further examination of the significance of small-scale genetic heterogeneity of marine zooplankton, to discriminate genetic “noise” in large and patchy populations from local adaptation to environmental conditions and change.