Evidence map›Paper›PMID 29547098›Full record

ArticleMicrobial genomics2018

The diversity of ice algal communities on the Greenland Ice Sheet as revealed by oligotyping.

Stefanie Lutz, Jenine McCutcheon, James B McQuaid, Liane G Benning

Abstract read
In one paragraph

Article in Microbial genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

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  11. Endometabolic profiling of pigmented glacier ice algae: the impact of sample processing.Metabolomics : Official journal of the Metabolomic Society · 2024
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  14. New molecular evidence of the genusBiodiversity data journal · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Stefanie Lutz1​GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany.
Jenine McCutcheon2​School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK.
James B McQuaid2​School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK.
Liane G Benning1​GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Arctic is being disproportionally affected by climate change compared with other geographic locations, and is currently experiencing unprecedented melt rates. The Greenland Ice Sheet (GrIS) can be regarded as the largest supraglacial ecosystem on Earth, and ice algae are the dominant primary producers on bare ice surfaces throughout the course of a melt season. Ice-algal-derived pigments cause a darkening of the ice surface, which in turn decreases albedo and increases melt rates. The important role of ice algae in changing melt rates has only recently been recognized, and we currently know little about their community compositions and functions. Here, we present the first analysis of ice algal communities across a 100 km transect on the GrIS by high-throughput sequencing and subsequent oligotyping of the most abundant taxa. Our data reveal an extremely low algal diversity with Ancylonema nordenskiöldii and a Mesotaenium species being by far the dominant taxa at all sites. We employed an oligotyping approach and revealed a hidden diversity not detectable by conventional clustering of operational taxonomic units and taxonomic classification. Oligotypes of the dominant taxa exhibit a site-specific distribution, which may be linked to differences in temperatures and subsequently the extent of the melting. Our results help to better understand the distribution patterns of ice algal communities that play a crucial role in the GrIS ecosystem.

Indexed as

Arctic RegionsBiodiversityChlorophyceaeCold TemperatureDNA, PlantEcosystemFreezingGreenlandIce CoverRNA, Ribosomal, 18SSeasonsSeaweedSequence Analysis, DNAZygnematalesDNA, PlantRNA, Ribosomal, 18SalbedoGreenland Ice SheetIce algaeIlluminaoligotypingOTU

Identifiers

PMID29547098
PMCPMC5885011

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.