Abstract

Global warming in mid-latitude alpine regions results in permafrost thawing, together with greater availability of carbon and nutrients in soils and frequent freeze–thaw cycles. Yet it is unclear how these multifactorial changes will shape the 1 m-deep permafrost microbiome in the future, and how this will in turn modulate microbially-mediated feedbacks between mountain soils and climate (e.g. soil CO2 emissions). To unravel the responses of the alpine permafrost microbiome to in situ warming, we established a three-year experiment in a permafrost monitoring summit in the Alps. Specifically, we simulated conditions of warming by transplanting permafrost soils from a depth of 160 cm either to the active-layer topsoils in the north-facing slope or in the warmer south-facing slope, near the summit. qPCR-based and amplicon sequencing analyses indicated an augmented microbial abundance in the transplanted permafrost, driven by the increase in copiotrophic prokaryotic taxa (e.g. Noviherbaspirillum and Massilia) and metabolically versatile psychrotrophs (e.g. Tundrisphaera and Granulicella); which acclimatized to the changing environment and potentially benefited from substrates released upon thawing. Metabolically restricted Patescibacteria lineages vastly decreased with warming, as reflected in the loss of α-diversity in the transplanted soils. Ascomycetous sapro-pathotrophs (e.g. Tetracladium) and a few lichenized fungi (e.g. Aspicilia) expanded in the transplanted permafrost, particularly in soils transplanted to the warmer south-facing slope, replacing basidiomycetous yeasts (e.g. Glaciozyma). The transplantation-induced loosening of microbial association networks in the permafrost could potentially indicate lesser cooperative interactions between neighboring microorganisms. Broader substrate-use microbial activities measured in the transplanted permafrost could relate to altered soil C dynamics. The three-year simulated warming did not, however, enhance heterotrophic respiration, which was limited by the carbon-depleted permafrost conditions. Collectively, our quantitative findings suggest the vulnerability of the alpine permafrost microbiome to warming, which might improve predictions on microbially-modulated transformations of mountain soil ecosystems under the future climate.

Highlights

  • Global warming is amplified in polar and mid-latitude alpine regions, with predicted increases in air temperature between 2 and 8 °C by 2100 (IPCC, 2014; Hock et al, 2019)

  • Most of the fungal operational taxonomic units (OTUs) in the permafrost responded positively to simulated warming, especially for the permafrost transplanted to the S topsoils (Ps, warmest topsoil habitat), where the ratios of positively to negatively responding OTUs was 4:1 for Ps vs. P and ~340:1 for Ps vs. Pn

  • In agreement with our first hypothesis, the transplantation treatments simulating warming led to augmented microbial abundance in the Muot da Barba Peider (MBP) permafrost soils, and shifted the structure of the microbial communities, the prokaryotic communities, in both the permafrost soil transplanted into the active-layer topsoils and, to a lesser extent, the north-facing active layers transplanted into southfacing active-layer topsoils

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Summary

Introduction

Global warming is amplified in polar and mid-latitude alpine regions, with predicted increases in air temperature between 2 and 8 °C by 2100 (IPCC, 2014; Hock et al, 2019). Permafrost, i.e. soil at subzero temperatures located under a seasonally frozen active layer, is a major component of polar and alpine cryoenvironments (Margesin, 2009; Donhauser and Frey, 2018). The warming-induced changes in soil temperature, moisture, C and nutrients impact the polar and alpine permafrost microbiome (i.e. prokaryotes and fungi), with direct consequences on microbially mediated soil processes (e.g. C mineralization) that might influence soil fertility (Fahad et al, 2021; Sönmez et al, 2021) and projected soil–climate feedbacks (e.g. soil CO2 release) at latitudinal and global scales (Mackelprang et al, 2016; Nikrad et al, 2016; Donhauser and Frey, 2018; Hock et al, 2019; Jansson and Hofmockel, 2020)

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