Over the past years, we have been investigating the biological approach of managing soybean cyst nematode (SCN) in North Dakota (ND) through identification and evaluation of suppressive soil to SCN from different soybean fields in ND. In our field survey in 2021, we observed that 10 such soybean fields which had high SCN infestation in the past showed lower SCN population at the time of sampling. From our greenhouse experiments, we identified two of those fields from Richland and Dicky counties reduced nematode activity in inoculated field soils as compared to controls, showing suppressiveness to SCN which is transferrable. We thus propose to characterize the microbes present in those soils through high throughput sequencing. By sequencing the amplicons of bacteria and fungi, we will characterize the microbes with biocontrol properties at higher abundance and diversity present in the rhizosphere of soybean in suppressive soils as compared to other conducive soils. We will analyze the soils’ physical and chemical properties to check the role of abiotic factors in suppressing SCN. In addition, we will identify species of plant-parasitic nematodes and non-plant parasitic nematodes from all field samples and check their role in suppressing SCN. The findings of this research on beneficial microbes with biocontrol properties can help growers in sustainable management of SCN.