Evidence map›Paper›PMID 30087410›Full record

ArticleThe ISME journal2018

Microbial connectivity and sorting in a High Arctic watershed.

Jérôme Comte, Alexander I Culley, Connie Lovejoy, Warwick F Vincent

Abstract read
In one paragraph

Article in The ISME journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

16 citing papers in PubMed.

  1. Review
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  12. The microbiome of cryospheric ecosystems.Nature communications · 2022
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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.

Jérôme ComteCentre d'études nordiques (CEN), Université Laval, Québec, QC, G1V 0A6, Canada. jerome.comte@ete.inrs.ca.
Alexander I CulleyCentre d'études nordiques (CEN), Université Laval, Québec, QC, G1V 0A6, Canada.
Connie LovejoyInstitut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, G1V 0A6, Canada.ORCID http://orcid.org/0000-0001-8027-2281
Warwick F VincentCentre d'études nordiques (CEN), Université Laval, Québec, QC, G1V 0A6, Canada.ORCID http://orcid.org/0000-0001-9055-1938

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquatic ecosystems in the High Arctic are facing unprecedented changes as a result of global warming effects on the cryosphere. Snow pack is a central feature of northern landscapes, but the snow microbiome and its microbial connectivity to adjacent and downstream habitats have been little explored. To evaluate these aspects, we sampled along a hydrologic continuum at Ward Hunt Lake (latitude 83°N) in the Canadian High Arctic, from snow banks, water tracks in the permafrost catchment, the upper and lower strata of the lake, and the lake outlet and its coastal marine mixing zone. The microbial communities were analyzed by high-throughput sequencing of 16 and 18S rRNA to determine the composition of potentially active Bacteria, Archaea and microbial Eukarya. Each habitat had distinct microbial assemblages, with highest species richness in the subsurface water tracks that connected the melting snow to the lake. However, up to 30% of phylotypes were shared along the hydrologic continuum, showing that many taxa originating from the snow can remain in the active fraction of downstream microbiomes. The results imply that changes in snowfall associated with climate warming will affect microbial community structure throughout all spatially connected habitats within snow-fed polar ecosystems.

Indexed as

MicrobiotaArchaeaArctic RegionsBacteriaCanadaClimateEukaryotaHigh-Throughput Nucleotide SequencingLakesPermafrostSequence Analysis, DNASnow

Identifiers

PMID30087410
PMCPMC6246550

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.