Article ; Online: Soil fungal taxonomic diversity along an elevation gradient on the semi-arid Xinglong Mountain, Northwest China.
2020 Volume 202, Issue 8, Page(s) 2291–2302
Abstract: ... composition and diversity along an elevation gradient on Xinglong Mountain, northwest China. For this, we used ...
Abstract | Elevation gradients, often regarded as "natural experiments or laboratories", can be used to study changes in the distribution of microbial diversity related to changes in environmental conditions that typically occur over small geographical scales. We exploited this feature by characterizing fungal composition and diversity along an elevation gradient on Xinglong Mountain, northwest China. For this, we used MiSeq sequencing to obtain fungal sequences and clustered them into operational taxonomic units (OTUs). In total, we obtained 1,203,302 reads, 133,700 on average in each sample of soil collected at three selected elevations (2807, 3046, and 3536 m). The reads were assigned to 2192 OTUs. Inconsistent variations were observed in fungal alpha-diversity in samples from the three elevations. However, Principal Coordinate Analysis based on Bray-Curtis and UniFrac (weighted and unweighted) distance metrics revealed that fungal communities in soil samples from 3046 and 3536 m elevations were most similar. Principal Component Analysis based on relative abundances of shared OTUs confirmed that OTUs in samples from 3536 m elevation were more closely related to OTUs from 3046 m than samples from 2807 m elevation. Ascomycota, Basidiomycota, Glomeromycota, Cercozoa and Chytridiomycota were the most abundant fungal phyla across the elevation gradient. Our study also provides valuable indications of relations between fungal communities and an array of soil chemical properties, and variations in fungal taxonomic diversity across a substantial elevation gradient. |
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MeSH term(s) | Biodiversity ; China ; Fungi/classification ; Soil/chemistry ; Soil Microbiology |
Chemical Substances | Soil |
Language | English |
Publishing date | 2020-06-16 |
Publishing country | Germany |
Document type | Journal Article |
ZDB-ID | 124824-8 |
ISSN | 1432-072X ; 0302-8933 |
ISSN (online) | 1432-072X |
ISSN | 0302-8933 |
DOI | 10.1007/s00203-020-01948-2 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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