Evidence map›Paper›PMID 30667072›Full record

ArticleThe New phytologist2019

Snow algae communities in Antarctica: metabolic and taxonomic composition.

Matthew P Davey, Louisa Norman, Peter Sterk, Maria Huete-Ortega, Freddy Bunbury, Bradford Kin Wai Loh, Sian Stockton, Lloyd S Peck, Peter Convey, Kevin K Newsham and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The New phytologist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

38 citing papers in PubMed, 90 citations in OpenAlex.

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  14. Endometabolic profiling of pigmented glacier ice algae: the impact of sample processing.Metabolomics : Official journal of the Metabolomic Society · 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

11 authors at 2 institutions in 1 country.

Matthew P DaveyDepartment of Plant Sciences, University of Cambridge, Cambridge, CB2 3EA, UK.ORCID 0000-0002-5220-4174
Louisa NormanDepartment of Plant Sciences, University of Cambridge, Cambridge, CB2 3EA, UK.ORCID 0000-0001-9720-4664
Peter SterkCambridge Institute for Medical Research, University of Cambridge, Wellcome Trust MRC Building, Hills Road, Cambridge, CB2 0QQ, UK.ORCID 0000-0003-1668-7778
Maria Huete-OrtegaDepartment of Plant Sciences, University of Cambridge, Cambridge, CB2 3EA, UK.ORCID 0000-0002-8746-5518
Freddy BunburyDepartment of Plant Sciences, University of Cambridge, Cambridge, CB2 3EA, UK.
Bradford Kin Wai LohDepartment of Plant Sciences, University of Cambridge, Cambridge, CB2 3EA, UK.ORCID 0000-0002-7762-8539
Sian StocktonDepartment of Plant Sciences, University of Cambridge, Cambridge, CB2 3EA, UK.
Lloyd S PeckBritish Antarctic Survey, NERC, Madingley Road, Cambridge, CB3 0ET, UK.
Peter ConveyBritish Antarctic Survey, NERC, Madingley Road, Cambridge, CB3 0ET, UK.ORCID 0000-0001-8497-9903
Kevin K NewshamBritish Antarctic Survey, NERC, Madingley Road, Cambridge, CB3 0ET, UK.ORCID 0000-0002-9108-0936
Alison G SmithDepartment of Plant Sciences, University of Cambridge, Cambridge, CB2 3EA, UK.ORCID 0000-0001-6511-5704
University of Cambridge · GBBritish Antarctic Survey · GB

Funding

INTERREG IVB 'Energetic Algae' (EnAlgae) program 215GLeverhulme Trust Research RPG-2017-077NERC Collaborative Gearing Scheme award RJCGS14MPD
6 · The paper itself

Abstract

Snow algae are found in snowfields across cold regions of the planet, forming highly visible red and green patches below and on the snow surface. In Antarctica, they contribute significantly to terrestrial net primary productivity due to the paucity of land plants, but our knowledge of these communities is limited. Here we provide the first description of the metabolic and species diversity of green and red snow algae communities from four locations in Ryder Bay (Adelaide Island, 68°S), Antarctic Peninsula. During the 2015 austral summer season, we collected samples to measure the metabolic composition of snow algae communities and determined the species composition of these communities using metabarcoding. Green communities were protein-rich, had a high chlorophyll content and contained many metabolites associated with nitrogen and amino acid metabolism. Red communities had a higher carotenoid content and contained more metabolites associated with carbohydrate and fatty acid metabolism. Chloromonas, Chlamydomonas and Chlorella were found in green blooms but only Chloromonas was detected in red blooms. Both communities also contained bacteria, protists and fungi. These data show the complexity and variation within snow algae communities in Antarctica and provide initial insights into the contribution they make to ecosystem functioning.

Indexed as

MetabolomicsSnowAntarctic RegionsBiomassCell CountEukaryotaEutrophicationLipidsPigments, BiologicalPrincipal Component AnalysisSpectroscopy, Fourier Transform InfraredLipidsPigments, BiologicalAntarcticabacteriacommunity compositioncryophilicfungimetabarcodingmetabolomicssnow algae

Identifiers

PMID30667072
PMCPMC6492300
OpenAlexW2914350349

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LicenceCC BY
Read underepoch 390

Registered trials

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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.