High-throughput sequencing of 16S RNA genes of soil bacterial communities from a naturally occurring CO2 gas vent

作者: Luis E. Sáenz de Miera , Paula Arroyo , Estanislao de Luis Calabuig , Jorge Falagán , Gemma Ansola

DOI: 10.1016/J.IJGGC.2014.08.014

关键词: Canonical correspondence analysisChloroflexi (class)AcidobacteriaEcologyEnvironmental scienceVerrucomicrobiaRelative species abundanceChloroflexi (phylum)EcosystemSpecies richness

摘要: Abstract High-throughput sequencing was used to investigate the effects of CO 2 emissions on composition and structure soil bacterial communities. Soil from an area (La Sima, Campo de Calatrava) where is released atmosphere a naturally occurring gas vent venting structure. samples were taken sampled along gradient. Bacterial community richness diversity notably decreased with increasing flux. varied gradient: as flux increased, relative abundance Chloroflexi phylum whereas Acidobacteria , Verrucomicrobia Gemmatiomonadetes phyla decreased. Within phylum, OTUs related genera Thermogemmatispora Ktedonobacter Thermomicrobium dominated communities in sites highest Canonical correspondence analysis (CCA) revealed that differences best explained by The geological storage has been proposed viable option for reducing anthropogenic contributions atmospheric pools order mitigate climatic change. These results are useful evaluate risk potential leakages ecosystems associated .

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