AI Article Synopsis

  • Soda lakes, like Lake Magadi, have unique microbial communities affected by seasonal changes in water chemistry due to evaporation and flooding.
  • * Using 16S rRNA gene sequencing, researchers studied microbial diversity and structure in water and brine samples, finding that bacteria were more diverse and abundant than archaea, with variations across different months.
  • * Key factors affecting this diversity included temperature, pH, and various chemical parameters, with salinity and alkalinity identified as major influences on microbial composition.

Article Abstract

Background: Soda lakes are habitats characterized by haloalkaline conditions also known to host unique microbial communities. The water chemistry changes with seasons due to evaporative concentration or floods from the surrounding grounds. However, it is not yet clear if the change in physiochemical changes influences the spatiotemporal diversity and structure of microbial communities in these ecosystems.

Methods: Using 16S rRNA gene amplicon sequencing, we investigated the diversity and structure of microbial communities in water and brine samples taken from Lake Magadi between June and September 2018. Additionally, physicochemical parameters were also analyzed for every sampling site. Additionally, physicochemical parameters were also analyzed for every sampling site.

Results: The abundant bacterial phyla were Proteobacteria, Cyanobacteria, Bacteroidetes, Actinobacteria, Firmicutes, Verrumicrobia, Deinococcus-Thermus, Spirochaetes, and Chloroflexi. The Archaeal diversity was represented by phyla Euryachaeota, Crenarchaeota, Euryarchaeota, and Thaumarchaeota. The dominant bacterial species were: sp. (10.3%), sp. (9.6%), sp. (5.8%), sp. (3.0%), sp. (2.4%), sp. (2.3%), sp. (2.2%), and sp. (2%). The dominant archaeal species included sp. (18.3%), sp. (5.3%), and sp. (1.3%). The composition of bacteria was higher than that of archaea, while their richness and diversity varied widely across the sampling seasons. The α-diversity indices showed that high diversity was recorded in August, followed by September, June, and July in that order. The findings demonstrated that temperature, pH, P+, K+, NO3 -, and total dissolved solids (TDS) contributed majorly to the diversity observed in the microbial community. Multivariate analysis revealed significant spatial and temporal effects on β-diversity and salinity and alkalinity were the major drivers of microbial composition in Lake Magadi.

Conclusions: We provide insights into the relationships between microbial structure and geochemistry across various sampling sites in Lake Magadi.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11555362PMC
http://dx.doi.org/10.12688/f1000research.134465.2DOI Listing

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