Evidence map›Paper›PMID 37355666›Full record

ArticleScientific reports2023

Landscape-scale mapping of soil fungal distribution: proposing a new NGS-based approach.

Daniel Janowski, Tomasz Leski

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

2 authors.

Daniel JanowskiInstitute of Dendrology, Polish Academy of Sciences, Kórnik, Poland. janowski-daniel@g.ecc.u-tokyo.ac.jp.ORCID 0000-0002-9929-6969
Tomasz LeskiInstitute of Dendrology, Polish Academy of Sciences, Kórnik, Poland.ORCID 0000-0003-4167-5015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil fungi play an indispensable role in the functioning of terrestrial habitats. Most landscape-scale studies of soil fungal diversity try to identify the fungal taxa present at a study site and define the relationships between their abundance and environmental factors. The specific spatial distribution of these fungi over the site, however, is not addressed. Our study's main objective is to propose a novel approach to landscape-scale mapping of soil fungi distribution using next generation sequencing and geographic information system applications. Furthermore, to test the proposed approach and discuss its performance, we aimed to conduct a case study mapping the spatial distribution of soil fungi on the Wielka Żuława island. The case study was performed on the Wielka Żuława island in northern Poland, where soil samples were collected every 100 m in an even grid. The fungal taxa and their relative abundance in each sample were assessed using the Illumina platform. Using the data obtained for the sampled points, maps of soil fungi spatial distribution were generated using three common interpolators: inverted distance weighted (IDW), B-spline, and ordinary Kriging. The proposed approach succeeded in creating maps of fungal distribution on Wielka Żuława. The most abundant groups of soil fungi were Penicillium on the genus level, Aspergillaceae on the family level, and ectomycorrhizal fungi on the trophic group level. Ordinary Kriging proved to be the most accurate at predicting relative abundance values for the groups of fungi significantly spatially autocorrelated at the sampled scale. For the groups of fungi not displaying spatial autocorrelation at the sampled scale, IDW provided the most accurate predictions of their relative abundance. Although less accurate at predicting exact relative abundance values, B-spline performed best in delineating the spatial patterns of soil fungi distribution. The proposed approach to landscape-scale mapping of soil fungi distribution could provide new insights into the ecology of soil fungi and terrestrial ecosystems in general. Producing maps of predicted fungal distribution in landscape-scale soil fungi diversity studies would also facilitate the reusability and replicability of the results. Outside the area of research, mapping the distribution of soil fungi could prove helpful in areas such as agriculture and forestry, nature conservation, and urban planning.

Indexed as

EcosystemMycorrhizaeEcologySoilSoil MicrobiologySoil

Identifiers

PMID37355666
PMCPMC10290699

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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.