Plant species and soil moisture shape rhizosphere microbiota in an unusually productive tundra ecosystem of North Greenland

Taken together, our findings suggest a possible role of soil water availability in shaping plant species-specific rhizosphere microbial communities in this highly productive High Arctic tundra ecosystem. Furthermore, the multi-kingdom community data provide a valuable baseline for future research on the ecological functioning and climate sensitivity of increasingly productive Arctic ecosystems.

Authors

Institutions

Publication Details

Journal
Environmental Microbiome
Published
2025-09-26
DOI
https://doi.org/10.1186/s40793-025-00781-8
Primary Topic
Polar Research and Ecology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Plant species and soil moisture shape rhizosphere microbiota in an unusually productive tundra ecosystem of North Greenland

Hyeontae Ju, Tae‐Yoon S. Park, Nu Ri Myeong, Youngil Ryu et al.
Environmental Microbiome
Polar Research and Ecology
article

Plant species and soil moisture shape rhizosphere microbiota in an unusually productive tundra ecosystem of North Greenland

Hyeontae Ju, Tae‐Yoon S. Park, Nu Ri Myeong, Youngil Ryu, Sujeong Jeong, Ji Young Jung, Jinhyun Kim, Mincheol Kim, Ying Peng So
article en

Abstract

Taken together, our findings suggest a possible role of soil water availability in shaping plant species-specific rhizosphere microbial communities in this highly productive High Arctic tundra ecosystem. Furthermore, the multi-kingdom community data provide a valuable baseline for future research on the ecological functioning and climate sensitivity of increasingly productive Arctic ecosystems.

Environmental MicrobiomeVol. 20(1)
Inha University (KR), Korea Polar Research Institute (KR), Ajou University (KR), Korea University of Science and Technology (KR)
National Research Foundation, Ministry of Oceans and Fisheries, National Research Foundation of Korea, Korea Polar Research Institute, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 75%
Polar Research and Ecology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.