Langaco Lake (LGL) is a strong Na2CO3-type lake that sits at an altitude of 4,548 m in the Qinghai-Tibet Plateau of China. LGL exhibits unique hydrochemical characteristics among Na2CO3-type lakes, but little is known about the microbial diversity of LGL and their interactions with environmental factors. Here, high-throughput sequencing of 16S rRNA genes revealed that LGL bacterial diversity comprised 327 genera in 24 phyla (4,871 operational taxonomic units [OTUs]; Shannon index values of 5.20–6.07) that represented significantly higher diversity than that of Archaea (eight phyla and 29 genera comprising 1,008 OTUs; Shannon index values of 2.98–3.30). The bacterial communities were dominated by Proteobacteria (42.79–53.70% relative abundances), followed by Bacteroidetes (11.13–15.18%), Planctomycetes (4.20–12.82%), Acidobacteria (5.91–9.50%), Actinobacteria (2.60–5.80%), and Verrucomicrobia (2.11–4.08%). Further, archaeal communities were dominated by Crenarchaeota (35.97–58.29%), Euryarchaeota (33.02–39.89%), and Woesearchaeota (6.50–21.57%). The dominant bacterial genus was Thiobacillus (8.92–16.78%), whose abundances were most correlated with total phosphorus (TP), pH, CO32− concentrations, and temperature. The most abundant archaeal genus was Methanoregula (21.40–28.29%), whose abundances were most highly correlated with TOC and TS in addition to the concentrations of K+, and Na+. Taken together, these results provide valuable insights towards a more comprehensive understanding of microbial diversity in these unique carbonate alkaline environments, in addition to a better understanding of microbial resources in the Qinghai-Tibet Plateau.
Purpose: Langaco Lake (LGL) is a strong Na2CO3-type lake that sits at an altitude of 4,548 m in the Qinghai-Tibet Plateau of China. LGL exhibits unique hydrochemical characteristics among Na2CO3-type lakes, but little is known about the microbial diversity of LGL and their interactions with environmental factors.Methods: The water samples were filtered by chemical-grade cellulose acetate membrane (pore size 0.45 μm), and analyzed the Hydrochemical characteristics. Community DNA was extracted then high-throughput sequencing of 16S rRNA genes were used to evaluate the microbial community composition.Results: Here, high-throughput sequencing of 16S rRNA genes revealed that LGL bacterial diversity comprised 327 genera in 24 phyla (4,871 operational taxonomic units [OTUs]; Shannon index values of 5.20–6.07) that represented significantly higher diversity than that of Archaea (eight phyla and 29 genera comprising 1,008 OTUs; Shannon index values of 2.98–3.30). The bacterial communities were dominated by Proteobacteria (42.79–53.70% relative abundances), followed by Bacteroidetes (11.13–15.18%), Planctomycetes (4.20–12.82%), Acidobacteria (5.91–9.50%), Actinobacteria (2.60–5.80%), and Verrucomicrobia (2.11–4.08%). Further, archaeal communities were dominated by Crenarchaeota (35.97–58.29%), Euryarchaeota (33.02–39.89%), and Woesearchaeota (6.50–21.57%). The dominant bacterial genus was Thiobacillus (8.92–16.78%), whose abundances were most correlated with total phosphorus (TP), pH, CO32− concentrations, and temperature. The most abundant archaeal genus was Methanoregula (21.40–28.29%), whose abundances were most highly correlated with TOC and TS in addition to the concentrations of K+, and Na+.Conclusions: Taken together, these results provide valuable insights towards a more comprehensive understanding of microbial diversity in these unique carbonate alkaline environments, in addition to a better understanding of microbial resources in the Qinghai-Tibet Plateau.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.