Evidence map›Paper›PMID 31986180›Full record

ArticlePloS one2020

Distinct temporal diversity profiles for nitrogen cycling genes in a hyporheic microbiome.

William C Nelson, Emily B Graham, Alex R Crump, Sarah J Fansler, Evan V Arntzen, David W Kennedy, James C Stegen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 18 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

William C NelsonPacific Northwest National Laboratory, Richland, Washington, United States of America.ORCID 0000-0002-1873-3929
Emily B GrahamPacific Northwest National Laboratory, Richland, Washington, United States of America.
Alex R CrumpDepartment of Soil and Water Systems, University of Idaho, Moscow, Idaho, United States of America.ORCID 0000-0002-2443-6146
Sarah J FanslerPacific Northwest National Laboratory, Richland, Washington, United States of America.
Evan V ArntzenPacific Northwest National Laboratory, Richland, Washington, United States of America.
David W KennedyPacific Northwest National Laboratory, Richland, Washington, United States of America.
James C StegenPacific Northwest National Laboratory, Richland, Washington, United States of America.
Pacific Northwest National Laboratory · USUniversity of Idaho · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodiversity is thought to prevent decline in community function in response to changing environmental conditions through replacement of organisms with similar functional capacity but different optimal growth characteristics. We examined how this concept translates to the within-gene level by exploring seasonal dynamics of within-gene diversity for genes involved in nitrogen cycling in hyporheic zone communities. Nitrification genes displayed low richness-defined as the number of unique within-gene phylotypes-across seasons. Conversely, denitrification genes varied in both richness and the degree to which phylotypes were recruited or lost. These results demonstrate that there is not a universal mechanism for maintaining community functional potential for nitrogen cycling activities, even across seasonal environmental shifts to which communities would be expected to be well adapted. As such, extreme environmental changes could have very different effects on the stability of the different nitrogen cycle activities. These outcomes suggest a need to modify existing conceptual models that link biodiversity to microbiome function to incorporate within-gene diversity. Specifically, we suggest an expanded conceptualization that 1) recognizes component steps (genes) with low diversity as potential bottlenecks influencing pathway-level function, and 2) includes variation in both the number of entities (e.g. species, phylotypes) that can contribute to a given process and the turnover of those entities in response to shifting conditions. Building these concepts into process-based ecosystem models represents an exciting opportunity to connect within-gene-scale ecological dynamics to ecosystem-scale services.

Indexed as

BiodiversityMicrobiotaNitrogen CycleSeasonsTime Factors

Identifiers

PMID31986180
PMCPMC6984685
OpenAlexW3003385798

What OpenQuestion holds

Textmetadata
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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.