16S rRNA sequences from Amazon floodplains and upland forests under simulated climate change scenarios

Seasonal floodplains in the Amazon basin are important sources of methane, while upland forests are known for their sink capacity. Climate change effects, including shifts in rainfall patterns and rising temperatures, may harm the functionality of soil microbial communities, leading to increased biogenic methane emissions in this region. To investigate the microbial feedback under climate change scenarios, we performed a microcosm experiment using soils from two floodplains (i.e., Amazonas and Tapajos rivers) and one upland forest. We employed a two-factorial experimental design comprising flooding (with non-flooded control) and temperature (at 27 oC and 30 oC, representing a 3 oC increase) as variables. We assessed prokaryotic community dynamics over 30 days through 16S rRNA gene sequencing using the 515F/806R primer set (Parada et al., 2016; Apprill et al., 2015).