Evidence map›Paper›PMID 39535358›Full record

ArticleEnvironmental microbiology reports2024

Microbial diversity in the arid and semi-arid soils of Botswana.

Coetzee Tidimalo, Ortiz Maximiliano, Jordaan Karen, Pedro H Lebre, Olivier Bernard, Greve Michelle, Dikinya Oagile, Don A Cowan

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. The prevalence and distribution ofFrontiers in microbiomes · 2026
    Article
  3. Article
  4. Article
  5. Article
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

8 authors.

Coetzee TidimaloCentre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa.ORCID https://orcid.org/0000-0002-5092-8574
Ortiz MaximilianoClemson University Genomics & Bioinformatics Facility, Clemson University, South Carolina, USA.
Jordaan KarenCentre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa.
Pedro H LebreCentre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa.ORCID https://orcid.org/0000-0002-6483-0340
Olivier BernardDepartment of Plant and Soil Sciences, University of Pretoria, Pretoria, South Africa.
Greve MichelleDepartment of Plant and Soil Sciences, University of Pretoria, Pretoria, South Africa.
Dikinya OagileDepartment of Environmental Science, University of Botswana, Gaborone, Botswana.
Don A CowanCentre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa.

Funding

Oppenheimer FoundationPhD bursary for Tidimalo Coetzee from the University of BotswanaUnited States Agency for International Development 674-AA-2010-A1University of Pretoria for postdoctoral support
6 · The paper itself

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.

Indexed as

BacteriaBiodiversityFungiRNA, Ribosomal, 16SSoilSoil MicrobiologyBotswanaDNA, BacterialHydrogen-Ion ConcentrationMicrobiotaPhylogenyDNA, BacterialRNA, Ribosomal, 16SSoil

Identifiers

PMID39535358
PMCPMC11558117

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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.