title: Microbial abundance in surface ice on the Greenland Ice Sheet.
abstract: Measuring microbial abundance in glacier ice and identifying its controls is essential for a better understanding and quantification of biogeochemical processes in glacial ecosystems. However, cell enumeration of glacier ice samples is challenging due to typically low cell numbers and the presence of interfering mineral particles. We quantified for the first time the abundance of microbial cells in surface ice from geographically distinct sites on the Greenland Ice Sheet (GrIS), using three enumeration methods: epifluorescence microscopy (EFM), flow cytometry (FCM), and quantitative polymerase chain reaction (qPCR). In addition, we reviewed published data on microbial abundance in glacier ice and tested the three methods on artificial ice samples of realistic cell (10(2)-10(7) cells ml(-1)) and mineral particle (0.1-100 mg ml(-1)) concentrations, simulating a range of glacial ice types, from clean subsurface ice to surface ice to sediment-laden basal ice. We then used multivariate statistical analysis to identify factors responsible for the variation in microbial abundance on the ice sheet. EFM gave the most accurate and reproducible results of the tested methodologies, and was therefore selected as the most suitable technique for cell enumeration of ice containing dust. Cell numbers in surface ice samples, determined by EFM, ranged from ~ 2 × 10(3) to ~ 2 × 10(6) cells ml(-1) while dust concentrations ranged from 0.01 to 2 mg ml(-1). The lowest abundances were found in ice sampled from the accumulation area of the ice sheet and in samples affected by fresh snow; these samples may be considered as a reference point of the cell abundance of precipitants that are deposited on the ice sheet surface. Dust content was the most significant variable to explain the variation in the abundance data, which suggests a direct association between deposited dust particles and cells and/or by their provision of limited nutrients to microbial communities on the GrIS.
authors: Geological Survey of Denmark and Greenland Copenhagen, Denmark ; Center for Permafrost, University of Copenhagen Copenhagen, Denmark ; Department of Ecology, Charles University in Prague Prague, Czech Republic.
authors: Marek
authors: M
authors: Stibal
authors: Geological Survey of Denmark and Greenland Copenhagen, Denmark ; Center for Permafrost, University of Copenhagen Copenhagen, Denmark.
authors: Erkin
authors: E
authors: Gözdereliler
authors: Geological Survey of Denmark and Greenland Copenhagen, Denmark ; Center for Permafrost, University of Copenhagen Copenhagen, Denmark.
authors: Karen A
authors: KA
authors: Cameron
authors: Geological Survey of Denmark and Greenland Copenhagen, Denmark.
authors: Jason E
authors: JE
authors: Box
authors: Centre for Glaciology, Aberystwyth University Aberystwyth, UK.
authors: Ian T
authors: IT
authors: Stevens
authors: Centre for Glaciology, Aberystwyth University Aberystwyth, UK.
authors: Jarishma K
authors: JK
authors: Gokul
authors: Center for Permafrost, University of Copenhagen Copenhagen, Denmark.
authors: Morten
authors: M
authors: Schostag
authors: Department of Ecology, Charles University in Prague Prague, Czech Republic ; Centre for Polar Ecology, University of South Bohemia České Budějovice, Czech Republic.
authors: Jakub D
authors: JD
authors: Zarsky
authors: Centre for Glaciology, Aberystwyth University Aberystwyth, UK.
authors: Arwyn
authors: A
authors: Edwards
authors: Centre for Glaciology, Aberystwyth University Aberystwyth, UK.
authors: Tristram D L
authors: TD
authors: Irvine-Fynn
authors: Geological Survey of Denmark and Greenland Copenhagen, Denmark ; Center for Permafrost, University of Copenhagen Copenhagen, Denmark ; Department of Plant and Environmental Sciences, University of Copenhagen Copenhagen, Denmark.
authors: Carsten S
authors: CS
authors: Jacobsen
keywords: Greenland Ice Sheet; epifluorescence microscopy; flow cytometry; glacier ice; microbial abundance; multivariate analysis; quantitative PCR