Bacterial Composition of Soils in the Fatala River Basin (Guinea) during the Dry Season: An Examination of its Relationship with Ecological Landscape Characteristics

This paper examines the bacterial composition of soils in the Fatala River basin, Republic of Guinea.This work is based on molecular genetic analysis.The research findings indicate that the most prevalent phyla are Proteobacteria , Firmicutes , Actinobacteria and Acidobacteria . Notable dominant species include Candidatus Koribacter versatilis and Candidatus Solibacter usitatus . In facies 11, particularly in a bauxite mining zone, there is an increase in cyanobacteria, potentially due to their capacity to enrich soil fertility. Alpha diversity peaks in facies 10, 12, 17 and 18 and bottoms out in facies 7. The decline in alpha diversity in facies 7 might be attributed to the increase in plankomycetes, which produce antimicrobial substances to outcompete other species. When examining beta diversity, facies 10, 12 and 17 show the highest similarity, while facies 3, 5, and 7 exhibit the most significant differences compared to all points analysed.The identification of the prevailing bacterial phylum and dominant species, along with specific taxa exhibiting increases or decreases in biodiversity, is a crucial first step in characterising the microbial communities found in the natural environments studied. The methodology established can be employed in environmental surveillance and evaluation of the health of diverse soil types.

Authors

Institutions

Publication Details

Journal
South of Russia ecology development
Published
2025-01-22
DOI
https://doi.org/10.18470/1992-1098-2024-4-9
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bacterial Composition of Soils in the Fatala River Basin (Guinea) during the Dry Season: An Examination of its Relationship with Ecological Landscape Characteristics

Moussa Sow, Vladimir Tabunshchik, I. Keita, Yuliya Monakhova et al.
South of Russia ecology development
Microbial Community Ecology and Physiology
article

Bacterial Composition of Soils in the Fatala River Basin (Guinea) during the Dry Season: An Examination of its Relationship with Ecological Landscape Characteristics

Moussa Sow, Vladimir Tabunshchik, I. Keita, Yuliya Monakhova, A. A. Shvartsev, Roman Gorbunov, А. А. Волков, Tatiana Yu. Gorbunova, Ya. I. Alekseev, AM Baldé, S. Diakité, Alpha Issaga Pallé Diallo, D. A. Ignateva
article en

Abstract

This paper examines the bacterial composition of soils in the Fatala River basin, Republic of Guinea.This work is based on molecular genetic analysis.The research findings indicate that the most prevalent phyla are Proteobacteria , Firmicutes , Actinobacteria and Acidobacteria . Notable dominant species include Candidatus Koribacter versatilis and Candidatus Solibacter usitatus . In facies 11, particularly in a bauxite mining zone, there is an increase in cyanobacteria, potentially due to their capacity to enrich soil fertility. Alpha diversity peaks in facies 10, 12, 17 and 18 and bottoms out in facies 7. The decline in alpha diversity in facies 7 might be attributed to the increase in plankomycetes, which produce antimicrobial substances to outcompete other species. When examining beta diversity, facies 10, 12 and 17 show the highest similarity, while facies 3, 5, and 7 exhibit the most significant differences compared to all points analysed.The identification of the prevailing bacterial phylum and dominant species, along with specific taxa exhibiting increases or decreases in biodiversity, is a crucial first step in characterising the microbial communities found in the natural environments studied. The methodology established can be employed in environmental surveillance and evaluation of the health of diverse soil types.

South of Russia ecology developmentVol. 19(4)
Synlab Czech (Czechia) (CZ), A.O. Kovalevsky Institute of Biology of the Southern Seas (UA), Institut de Recherche Agronomique de Guinée (GN)
Openalex Percentile: Top 99%
Microbial Community Ecology and Physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.