Evidence map›Paper›PMID 37130890›Full record

ArticleScientific reports2023

The soil microbiomes of forest ecosystems in Kenya: their diversity and environmental drivers.

Lorine Akinyi Onyango, Florence Atieno Ngonga, Edward Nderitu Karanja, Josiah Ochieng' Kuja, Hamadi Iddi Boga, Don A Cowan, Kennedy Wanjau Mwangi, Marianne Wughanga Maghenda, Pedro Bixirao Neto Marinho Lebre, Anne Kelly Kambura

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

10 authors.

Lorine Akinyi OnyangoDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, P. O. Box 62000-00200, Nairobi, Kenya.
Florence Atieno NgongaDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, P. O. Box 62000-00200, Nairobi, Kenya.
Edward Nderitu KaranjaInternational Centre for Insect Physiology and Ecology, P.O. Box 30772-00100, Nairobi, Kenya.
Josiah Ochieng' KujaDepartment of Botany, Jomo Kenyatta University of Agriculture and Technology, P. O. Box 62000-00200, Nairobi, Kenya.
Hamadi Iddi BogaSchool of Agriculture, Earth and Environmental Sciences, Taita Taveta University, P. O. Box 635-80300, Voi, Kenya.
Don A CowanCentre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa.
Kennedy Wanjau MwangiInternational Livestock Research Institute, P.O. Box 30709-00100, Nairobi, Kenya.
Marianne Wughanga MaghendaSchool of Agriculture, Earth and Environmental Sciences, Taita Taveta University, P. O. Box 635-80300, Voi, Kenya.
Pedro Bixirao Neto Marinho LebreCentre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa.
Anne Kelly KamburaSchool of Agriculture, Earth and Environmental Sciences, Taita Taveta University, P. O. Box 635-80300, Voi, Kenya. annekambura@ttu.ac.ke.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil microbiomes in forest ecosystems act as both nutrient sources and sinks through a range of processes including organic matter decomposition, nutrient cycling, and humic compound incorporation into the soil. Most forest soil microbial diversity studies have been performed in the northern hemisphere, and very little has been done in forests within African continent. This study examined the composition, diversity and distribution of prokaryotes in Kenyan forests top soils using amplicon sequencing of V4-V5 hypervariable region of the 16S rRNA gene. Additionally, soil physicochemical characteristics were measured to identify abiotic drivers of prokaryotic distribution. Different forest soils were found to have statistically distinct microbiome compositions, with Proteobacteria and Crenarchaeota taxa being the most differentially abundant across regions within bacterial and archaeal phyla, respectively. Key bacterial community drivers included pH, Ca, K, Fe, and total N while archaeal diversity was shaped by Na, pH, Ca, total P and total N. To contextualize the prokaryote diversity of Kenyan forest soils on a global scale, the sample set was compared to amplicon data obtained from forest biomes across the globe; displaying them to harbor distinct microbiomes with an over-representation of uncultured taxa such as TK-10 and Ellin6067 genera.

Indexed as

MicrobiotaSoilArchaeaBacteriaForestsKenyaRNA, Ribosomal, 16SSoil MicrobiologyRNA, Ribosomal, 16SSoil

Identifiers

PMID37130890
PMCPMC10154314

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Registered trials

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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.