ArticleEnvironmental microbiology reports2024
Microbial diversity in the arid and semi-arid soils of Botswana.
Article in Environmental microbiology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Identification of keystone taxa shaping biocrust formation and biodeterioration of limestone monuments in the Xiaoling Tomb of the Ming Dynasty.Environmental microbiome · 2026Article
- The prevalence and distribution ofFrontiers in microbiomes · 2026Article
- Host genotype and environment shape rhizosphere and root microbiome composition of pecan rootstocks.Frontiers in microbiomes · 2026Article
- Hydrological regime and niche partitioning drive fungal community structure and function in arid wetlands sediments of South Africa.Environmental science and pollution research international · 2025Article
- Microbial diversity in the arid and semi-arid soils of Botswana.Environmental microbiology reports · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
To date, little research has been conducted on the landscape-scale distribution of soil microbial communities and the factors driving their community structures in the drylands of Africa. We investigated the influence of landscape-scale variables on microbial community structure and diversity across different ecological zones in Botswana. We used amplicon sequencing of bacterial 16S rRNA gene and fungal internal transcribed spacers (ITS) and a suite of environmental parameters to determine drivers of microbial community structure. Bacterial communities were dominated by Actinomycetota (21.1%), Pseudomonadota (15.9%), and Acidobacteriota (10.9%). The dominant fungal communities were Ascomycota (57.3%) and Basidiomycota (7.5%). Soil pH, mean annual precipitation, total organic carbon, and soil ions (calcium and magnesium) were the major predictors of microbial community diversity and structure. The co-occurrence patterns of bacterial and fungal communities were influenced by soil pH, with network-specific fungi-bacteria interactions observed. Potential keystone taxa were identified for communities in the different networks. Most of these interactions were between microbial families potentially involved in carbon cycling, suggesting functional redundancy in these soils. Our findings highlight the significance of soil pH in determining the landscape-scale structure of microbial communities in Botswana's dryland soils.
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