Soil diazotrophs sustain nitrogen fixation under high nitrogen enrichment <i>via</i> adjustment of community composition

This study examined the changes in soil diazotroph community under different loads of simulated N deposition and analyzed its relationship with N fixation rates in in five forests using high-throughput sequencing. The magnitudes of N fixation rates reduced by low N loads were higher than those by high N loads. Low N loads decreased richness and diversity of diazotroph community, whereas diazotroph community structure remained stable under high N loads. Compared with low N loads, high N loads resulted in a less similarity and overlap of <i>nifH</i> gene sequences among the treatments and a larger adjustment of diazotroph community. Low N loads increased soil NH4+ concentrations, which decreased diazotroph community richness, diversity, and N fixation rates, whereas the increased soil NH4+ under high N loads did not have negative impacts on diazotroph community structure and N fixation. Based on these findings, it is urgently needed to incorporate the loads of N deposition and the composition of diazotroph community into terrestrial N-cycling models for accurate understanding of N inputs in forest ecosystems.

Authors

Institutions

Publication Details

Journal
mSystems
Published
2024-09-10
DOI
https://doi.org/10.1128/msystems.00547-24
Citations
10
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
3.34

Funders

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

Soil diazotrophs sustain nitrogen fixation under high nitrogen enrichment via adjustment of community composition

Mianhai Zheng, Jing Zhang, Zhanfeng Liu, Jiangming Mo et al.
10 citations
mSystems
Soil Carbon and Nitrogen Dynamics
3.34
article

Soil diazotrophs sustain nitrogen fixation under high nitrogen enrichment via adjustment of community composition

Mianhai Zheng, Jing Zhang, Zhanfeng Liu, Jiangming Mo, Meichen Xu
article en
10 citations

Abstract

This study examined the changes in soil diazotroph community under different loads of simulated N deposition and analyzed its relationship with N fixation rates in in five forests using high-throughput sequencing. The magnitudes of N fixation rates reduced by low N loads were higher than those by high N loads. Low N loads decreased richness and diversity of diazotroph community, whereas diazotroph community structure remained stable under high N loads. Compared with low N loads, high N loads resulted in a less similarity and overlap of <i>nifH</i> gene sequences among the treatments and a larger adjustment of diazotroph community. Low N loads increased soil NH4+ concentrations, which decreased diazotroph community richness, diversity, and N fixation rates, whereas the increased soil NH4+ under high N loads did not have negative impacts on diazotroph community structure and N fixation. Based on these findings, it is urgently needed to incorporate the loads of N deposition and the composition of diazotroph community into terrestrial N-cycling models for accurate understanding of N inputs in forest ecosystems.

mSystemsVol. 9(10)
South China Botanical Garden (CN), State Forestry and Grassland Administration (CN), University of Chinese Academy of Sciences (CN), China National Botanical Garden
Chinese Academy of Sciences, Youth Innovation Promotion Association of the Chinese Academy of Sciences, National Key Research and Development Program of China, Youth Innovation Promotion Association, Basic and Applied Basic Research Foundation of Guangdong Province
Life in Land
Openalex Percentile: Top 8%
Soil Carbon and Nitrogen Dynamics
3.34
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.