Author(s)

Irène Marie Cécile Mboukou Kimbatsa^1,2, Itsouhou Ngô^1,2*, Armel Ibala Zamba^1,3, Faly Armel Soloka Mabika^1,2, Thantique Moutali Lingouangou^1,2, Joseph Goma-Tchimbakala^2,3, Etienne Nguimbi^1,2,3

¹Laboratoire de Biologie Cellulaire et Moléculaire (BCM), Faculté des Sciences et Techniques, Université Marien Ngouabi, Brazzaville, Republic of the Congo.
²Unité de Recherche en Bioinformatique et Microbiologie Moléculaire, Faculté des Sciences et Techniques, Université Marien Ngouabi, Brazzaville, Republic of the Congo.
³Institut National de Recherche en Sciences Exactes et Naturelles (IRSEN), Brazzaville, Republic of the Congo.

Soil contains a great diversity of microorganisms, among which are bacteria. This study aimed to explore bacterial diversity in soil samples in Brazzaville in the Republic of the Congo. Environmental DNA was extracted. The illumina MiSeq sequencing was held and the diversity indices have been computed. Illumina MiSeq sequencing revealed 21 Phyla, four of which were abundant: Proteobacteria, Acidobacteria, Actinobacteria and Bacteroidetes. Soil microbial communities in the studied samples were phylogenetically diverse but with a stable community structure. 17 classes are represented with relative abundances of Rihzobiales, Bacillales, Actinomycetales and Acidobacteriales. 40 families, the Alphaproteobacteria, the Bacilli and the 12 Actinobacteria. 83 orders among which the Rhizobiales are the most abundant followed by Bacillales and the least abundant followed by the Flavobacteriaceae. Of the 28 genera listed, the Bradyrhizobium is the most dominant in Mw3 and Mw4. 25 listed species, Bradyrhizobium, Bacillus, Actinoplanes, and Candidatu coribacter Acidobacterium are the most abundant species. The Shannon indices of Mw3 and Mw4 are equal, the H’max of Mw4 is greater than the H’max of Mw3. The Simpson index of Mw4 is equal to the Simpson index of Mw3, and the Pielou index (J) of Mw4 is less than the R of Mw3, but very close. This study opens interesting perspectives on the knowledge and exploitation of telluric bacteria in several areas of life.

Metagenomic, Sequencing, 16S rRNA Gene, Soil, Bacteria

Kimbatsa, I. , Ngô, I. , Zamba, A. , Soloka Mabika, F. , Lingouangou, T. , Goma-Tchimbakala, J. and Nguimbi, E. (2023) 16S rRNA Gene-Based Metagenomic Analysis of Soil Bacterial Diversity in Brazzaville, Republic of the Congo. Advances in Microbiology, 13, 477-498. doi: 10.4236/aim.2023.139031.