scispace - formally typeset
S

Soo-Je Park

Researcher at Jeju National University

Publications -  93
Citations -  2861

Soo-Je Park is an academic researcher from Jeju National University. The author has contributed to research in topics: Archaea & Gene. The author has an hindex of 25, co-authored 93 publications receiving 2431 citations. Previous affiliations of Soo-Je Park include Chungbuk National University.

Papers
More filters
Journal ArticleDOI

Enrichment and characterization of an autotrophic ammonia-oxidizing archaeon of mesophilic crenarchaeal group I.1a from an agricultural soil

TL;DR: Kinetic respirometry assays showed that strain MY1's affinities for ammonia and oxygen were much higher than those of ammonia-oxidizing bacteria (AOB) and the yield of the greenhouse gas N2O in the strain My1 culture was lower but comparable to that of soil AOB.
Journal ArticleDOI

Cultivation of Autotrophic Ammonia-Oxidizing Archaea from Marine Sediments in Coculture with Sulfur-Oxidizing Bacteria

TL;DR: The experiments suggest that AOA may be important nitrifiers in low-oxygen environments, such as oxygen-minimum zones and marine sediments, and that archaeal cells became the dominant prokaryotes after biweekly transfers for 20 months.
Journal ArticleDOI

Hydrogen peroxide detoxification is a key mechanism for growth of ammonia-oxidizing archaea

TL;DR: It is found that α-keto acids functioned as chemical scavengers that detoxified intracellularly produced H2O2 during ammonia oxidation, and this indicates that AOA broadly feature strict autotrophic nutrition and implicate H 2O2 as an important factor determining the activity, evolution, and community ecology of AOA ecotypes.
Journal ArticleDOI

Comparative analysis of archaeal 16S rRNA and amoA genes to estimate the abundance and diversity of ammonia-oxidizing archaea in marine sediments

TL;DR: Considering their abundance and broad distribution, non-extremophilic Crenarchaeota are likely to play important roles in global organic and inorganic matter cycles and clades of unique amoA sequences were likely to cluster according to sampling sites.