Abstract

PALACIO CASTELLANOS, Andres Felipe et al. Quantification of the expression of the amo-A gene in bacterial and archaeal populations present in soil samples from a rice field characterized by environments. Rev. colomb. biotecnol [online]. 2023, vol.25, n.2, pp.16-32.  Epub Jan 31, 2024. ISSN 0123-3475.  https://doi.org/10.15446/rev.colomb.biote.v25n2.110118.

The nitrogen cycle represents one the most important biogeochemical process for terrestrial and aquatic ecosystems. Microbial communities play a crucial role in the processes of transformation of soil nitrogen in the, since they participate in various stages such as nitrification, which is of great importance for agricultural production. Among the most used molecular markers to assess ammonium oxidizing microbial populations activity have been considered widely the genes encoding key enzymes such as ammonium monooxygenase (AMO) subunit A. However, it is not fully understood whether the expression of this enzyme is directly related to the crop yield. In this context, this research work evaluated the expression of the amo-A gene of bacterial and archaeal communities present in a rice field previously characterized by environments. Real-time PCR (RT-qPCR) and digital PCR (RT-dPCR) techniques were used to quantify the abundance of archaea and ammonium-oxidizing bacteria (AOA and AOB, respectively). In this work it was found that in the analysis of metagenomic data there was a greater presence of AOB in rhizospheric soil samples while AOA were predominant in bulk soil samples, however, the expression of the amo-A gene was not detected. associated with the community of bacteria in the soil samples analyzed. On the other hand, it was found that the transcripts of the amo-A gene of the AOA community did not present differences between the characterized environments. Furthermore, the expression of transcripts is not related to any of the chemical properties evaluated. Finally, the quantification strategies for RT-qPCR (plasmid and quenching) turned out to be homologous and functional to identify the expression of the AOA amo-A gene, while the RT-dPCR technique was more precise for the analysis of the community of AOB and AOA.

Keywords : Nitrification; transcriptomic; agriculture by environments; RT-qPCR; RT-dPCR.

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