Evidence map›Paper›PMID 35314738›Full record

ArticleScientific reports2022

Metabarcoding analysis of the soil fungal community to aid the conservation of underexplored church forests in Ethiopia.

Demelash Alem, Tatek Dejene, József Geml, Juan Andrés Oria-de-Rueda, Pablo Martín-Pinto

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Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

5 authors.

Demelash AlemSustainable Forest Management Research Institute, University of Valladolid, Avda. Madrid 44, 34071, Palencia, Spain.
Tatek DejeneSustainable Forest Management Research Institute, University of Valladolid, Avda. Madrid 44, 34071, Palencia, Spain.
József GemlMTA-EKE Lendület Environmental Microbiome Research Group, Eszterházy Károly University, Leányka u. 6, 3300, Eger, Hungary.
Juan Andrés Oria-de-RuedaSustainable Forest Management Research Institute, University of Valladolid, Avda. Madrid 44, 34071, Palencia, Spain.
Pablo Martín-PintoSustainable Forest Management Research Institute, University of Valladolid, Avda. Madrid 44, 34071, Palencia, Spain. pmpinto@pvs.uva.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most of the Dry Afromontane forests in the northern part of Ethiopia are located around church territories and, hence, are called church forests. These forests are biodiversity islands and provide key ecosystem services to local communities. A previous study of church forest fungal species was based on sporocarp collections. However, to obtain a complete picture of the fungal community, the total fungal community present in the soil needs to be analyzed. This information is important to integrate church forests into global biodiversity conservation strategies and to understand what actions are required to conserve church forests and their biological components, including fungi, which are known for their exceptionally high diversity levels. We assessed soil fungal communities in three church forests using ITS2 rDNA metabarcoding. In total, 5152 fungal operational taxonomic units representing 16 fungal phyla were identified. Saprotrophs followed by ectomycorrhizal fungi and animal pathogens dominated fungal communities. Significant differences in diversity and richness were observed between forests. Non-metric multidimensional scaling confirmed that fungal community composition differed in each forest. The composition was influenced by climatic, edaphic, vegetation, and spatial variables. Linear relationships were found between tree basal area and the abundance of total fungi and trophic groups. Forest management strategies that consider cover, tree density, enrichment plantations of indigenous host tree species, and environmental factors would offer suitable habitats for fungal diversity, production, and function in these forest systems. The application of the baseline information obtained in this study could assist other countries with similar forest conservation issues due to deforestation and forest fragmentation.

Indexed as

MycobiomeMycorrhizaeBiodiversityEcosystemEthiopiaForestsFungiSoilSoil MicrobiologyTreesSoil

Identifiers

PMID35314738
PMCPMC8938458

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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.