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Browsing Journal Articles by Subject "16S rRNA"

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    Amplicon-based assessment of bacterial diversity and community structure in three tropical forest soils in Kenya
    (Heliyon, 2022-11) Kenya, Eucharia U.; Kinyanjui, Grace; Kipnyargis, Alex C.; Kinyua, Franklin; Mwangi, Mary; Khamis, Fathiya; Mwirichia, Romano K.
    Forest soils provide a multitude of habitats for diverse communities of bacteria. In this study, we selected three tropical forests in Kenya to determine the diversity and community structure of soil bacteria inhabiting these regions. Kakamega and Irangi are rainforests, whereas Gazi Bay harbors mangrove forests. The three natural forests occupy different altitudinal zones and differ in their environmental characteristics. Soil samples were collected from a total of 12 sites and soil physicochemical parameters for each sampling site were analyzed. We used an amplicon-based Illumina high-throughput sequencing approach. Total community DNA was extracted from individual samples using the phenol-chloroform method. The 16S ribosomal RNA gene segment spanning the V4 region was amplified using the Illumina MiSeq platform. Diversity indices, rarefaction curves, hierarchical clustering, principal component analysis (PCA), and non-metric multidimensional scaling (NMDS) analyses were performed in R software. A total of 13,410 OTUs were observed at 97% sequence similarity. Bacterial communities were dominated by Proteobacteria, Bacteroidetes, Firmicutes, Actinobacteria, and Acidobacteria in both rainforest and mangrove sampling sites. Alpha diversity indices and species richness were higher in Kakamega and Irangi rainforests compared to mangroves in Gazi Bay. The composition of bacterial communities within and between the three forests was also significantly differentiated (R ¼ 0.559, p ¼ 0.007). Clustering in both PCA and NMDS plots showed that each sampling site had a distinct bacterial community profile. The NMDS analysis also indicated that soil EC, sodium, sulfur, magnesium, boron, and manganese contributed significantly to the observed variation in the bacterial community structure. Overall, this study demonstrated the presence of diverse taxa and heterogeneous community structures of soil bacteria inhabiting three tropical forests of Kenya. Our results also indicated that variation in soil chemical parameters was the major driver of the observed bacterial diversity and community structure in these forests.
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    Desertifilum fontinale sp. nov. (Oscillatoriales, Cyanobacteria) from a warm spring in East Africa, based on conventional and molecular studies
    (2014) Dadheech, Pawan K.; Mahmoud, Huda; Kotut, Kiplagat; Krienitz, L.
    Desertifilum is a filamentous cyanobacterium of crusts and biofilms, recently described from the extreme hot and dry Thar Desert in north–western India. A new species was isolated from a warm spring near Lake Bogoria, Kenya and was characterised by light and electron microscopy and phylogenetically using the 16S rRNA gene, beta and alpha subunits including intergenic spacer (cpcBA–IGS) and 16S–23S internal transcribed spacer (ITS). The aquatic habitat of the new material from Kenya revealed a wider distribution of members of this genus. The new taxon was found to be closest to Desertifilum tharense (Oscillatoriales). The separation of the new species described here as D. fontinale sp. nov., using conventional and molecular traits, was based on differences in phenotypic features, 16S–23S ITS sequence and habitat.
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    Prokaryotic diversity and potentially pathogenic bacteria in vended foods and environmental samples
    (BMC, 2021-07) Muriuki, Susan W.; Rengan, Michael S.; Budambula, Nancy
    Purpose: Ready-to-eat fast food vending outlets provide a cheap and readily available food. Foodborne diseases have been previously reported in Embu, Kenya, but data on the prokaryotic metagenome in vended foods is scanty. This study aimed to determine the prokaryotic diversity in fruits, vegetable salad, African sausage, chips (potato fries), fried fish, roasted beef (meat), smokies, samosa, soil, and water collected from food vendors and the surrounding environment in Embu Town and Kangaru Market. Methods: The study used 454 pyrosequencing, Illumina high-throughput sequencing of 16S rRNA gene in the analysis of total community DNA extracted from samples using the phenol-chloroform method. The 16S rRNA gene variable region (V4-V7) of the extracted DNA was amplified and library construction performed. Sequence analysis was done using QIIME2. Hierarchical clustering of samples, diversity indices, rarefaction curves, and Venn diagrams were generated using the R programming language in R software version 3.6.3. Results: Bacterial operational taxonomic units (OUTs) were distributed in Proteobacteria (52.81%), Firmicutes (31.16%), and Lentisphaerae (0.001%). The OTUs among archaea were Candidatus Nitrososphaera (63.56%) and Nitrososphaera spp. (8.77%). Brucella spp. and Bacillus cereus associated with foodborne diseases were detected. Potential pathogens, Rickettsia spp. in risk group 2 and Brucella spp. in risk group 3, were detected. Uncultured Candidatus Koribacter and Candidatus Solibacter were also detected in the food samples. There was a significant difference in the microbial community structure among the sample types (P<0.1). Conclusion: The results demonstrated the presence of some prokaryotes that are associated with food spoilage or foodborne diseases in vended foods and environmental samples. This study also detected uncultured prokaryotes. The presence of potential pathogens calls for stringent hygiene measures in food vending operations.