Evidence map›Paper›PMID 33483845›Full record

ArticleMicrobial ecology2021

Linking Genes to Traits in Fungi.

A L Romero-Olivares, E W Morrison, A Pringle, S D Frey

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Microbial ecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

A L Romero-OlivaresDepartment of Natural Resources and the Environment, University of New Hampshire, Durham, NH, 03824, USA. alro@nmsu.edu.ORCID http://orcid.org/0000-0003-0287-3043
E W MorrisonDepartment of Natural Resources and the Environment, University of New Hampshire, Durham, NH, 03824, USA.ORCID https://orcid.org/0000-0002-9737-9947
A PringleDepartment of Botany and Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, 53706, USA.ORCID https://orcid.org/0000-0002-1526-6739
S D FreyDepartment of Natural Resources and the Environment, University of New Hampshire, Durham, NH, 03824, USA.ORCID https://orcid.org/0000-0002-9221-5919
University of New Hampshire · USNew Mexico State University · USUniversity of Wisconsin–Madison · US

Funding

Agricultural Research Service Hatch 1016142University of New Hampshire Diversity & Innovation Scholars program
6 · The paper itself

Abstract

Fungi are mediators of the nitrogen and carbon cycles in terrestrial ecosystems. Examining how nitrogen uptake and organic matter decomposition potential differs in fungi can provide insight into the underlying mechanisms driving fungal ecological processes and ecosystem functioning. In this study, we assessed the frequency of genes encoding for specific enzymes that facilitate nitrogen uptake and organic matter decomposition in 879 fungal genomes with fungal taxa grouped into trait-based categories. Our linked gene-trait data approach revealed that gene frequencies vary across and within trait-based groups and that trait-based categories differ in trait space. We present two examples of how this linked gene-trait approach can be used to address ecological questions. First, we show that this type of approach can help us better understand, and potentially predict, how fungi will respond to environmental stress. Specifically, we found that trait-based categories with high nitrogen uptake gene frequency increased in relative abundance when exposed to high soil nitrogen enrichment. Second, by comparing frequencies of nitrogen uptake and organic matter decomposition genes, we found that most ectomycorrhizal fungi in our dataset have similar gene frequencies to brown rot fungi. This demonstrates that gene-trait data approaches can shed light on potential evolutionary trajectories of life history traits in fungi. We present a framework for exploring nitrogen uptake and organic matter decomposition gene frequencies in fungal trait-based groups and provide two concise examples on how to use our framework to address ecological questions from a mechanistic perspective.

Indexed as

EcosystemMycorrhizaeFungiNitrogenSoilSoil MicrobiologyNitrogenSoilDecompositionFrequenciesFungiGeneGenomesNitrogenTraits

Identifiers

PMID33483845
PMCPMC8282587
OpenAlexW3125683878

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.