Abstract

Arctic lakes are experiencing increasingly shorter periods of ice cover due to accelerated warming at northern high latitudes. Given the control of ice cover thickness and duration over many limnological processes, these changes will have pervasive effects. However, due to their remote and extreme locations even first-order data on lake ecology is lacking for many ecosystems. The aim of this study was to characterize and compare the microbial communities of four closely spaced lakes in Stuckberry Valley (northern Ellesmere Island, Canadian Arctic Archipelago), in the coastal margin zone of the Last Ice Area, that differed in their physicochemical, morphological and catchment characteristics. We performed high-throughput amplicon sequencing of the V4 16S rRNA gene to provide inter- and intra-lake comparisons. Two deep (>25 m) and mostly oxygenated lakes showed highly similar community assemblages that were distinct from those of two shallower lakes (<10 m) with anoxic bottom waters. Proteobacteria, Verrucomicrobia, and Planctomycetes were the major phyla present in the four water bodies. One deep lake contained elevated proportions of Cyanobacteria and Thaumarchaeota that distinguished it from the others, while the shallow lakes had abundant communities of predatory bacteria, as well as microbes in their bottom waters that contribute to sulfur and methane cycles. Despite their proximity, our data suggest that local habitat filtering is the primary determinant of microbial diversity in these systems. This study provides the first detailed examination of the microbial assemblages of the Stuckberry lakes system, resulting in new insights into the microbial ecology of the High Arctic.

Highlights

  • To better understand microbial ecology in High Arctic lakes, we examined four lakes in Stuckberry Valley that are closely spaced and physicochemically and morphologically diverse (Top, Y, 2FB, and Bottom lakes)

  • We investigated whether the microbial community composition, which contained a total of 4,155 unique amplicon sequence variants (ASVs) (Supplementary Table 1), reflected the observed partitioning along depth and chemical gradients

  • We identified features, which are differentially abundant features that most likely explain the differences noted between lakes, using linear discriminant analysis effect size (LEfSe) analysis (Segata et al, 2011; see below)

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Summary

Introduction

The Arctic is among the regions on Earth most affected by the rapid acceleration of global warming. Lakes are sentinels of environmental change because they are integrators of watershed and airshed processes (e.g., plant and soil dynamics, nutrient loading, climate shifts, anthropogenic impacts; Williamson et al, 2008; Vincent, 2018) They are important and highly diverse features of the Arctic landscape, ranging from deep proglacial lakes to shallow thermokarst ponds (Pienitz et al, 2008). The abundance and area of glacial lakes are increasing (Shugar et al, 2020), while other types of lakes are disappearing (Smith et al, 2005) With their simplified food webs and unique physical and chemical characteristics (low water temperature, prolonged ice cover and highly seasonal photoperiods; Vincent, 2018), these extreme waterbodies represent key habitats that can be used to better understand the polar biome in transition

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