151-19 Methanotrophic Bacterial Diversity in Ohio Soils Using High-Throughput Sequencing.
Poster Number 1222
See more from this Division: SSSA Division: Soil Biology & Biochemistry
See more from this Session: Soil Biology and Biochemistry-Graduate Student Poster Competition
Abstract:
A molecular-based high-throughput sequencing technique was employed to generate millions of sequences targeting methanatrophic bacteria. A combination of four primer sets targeting whole community 16S rRNA, 16S rRNA gene region of Type I and Type II methanotrophs, and functional pmoA were used. Software packages including Mothur, QIIME (Quantitative Insights Into Microbial Ecology), and R were used to study community diversity and abundance in soils under no-till continuous corn, no-till corn-soybean, plow-till continuous-corn, plow-till corn-soybean, grass, and forest.
A variety of methanotrophic bacterial operational taxonomic units (OTUs) were identified, representing diverse genera of methanotrophs, Verrucomicrobial methanotrophs, non-methanotrophic methylotrophs, and OTUs representing Upland Soil Clusters. On an average, 2% of sequences represented methantrophs OTUs in the 16S rRNA datasets, while the pmoA dataset was compared to a reference database which classified all the sequences as methanotrophic OTUs. For most datasets, no-till soils had higher diversity than plow-till soils and community composition of both agricultural practices were distinctly different from forest and grass areas. Among the variables analyzed, location was dominant, followed by tillage and rotation. It can be concluded that even with soil disturbance, the inherent functioning of microbes in these soils is possibly more impacted by location, followed by land-use.
See more from this Division: SSSA Division: Soil Biology & Biochemistry
See more from this Session: Soil Biology and Biochemistry-Graduate Student Poster Competition