收藏切换
Vegetation types affect nitrite reductase genes in soils at different depths of the Minjiang River estuary wetland
收藏切换
PDF
Tiejun HE1, 2, Guiping YE3, Ping YANG1, 2, Yongxin LIN1, 2
Acta Microbiologica Sinica | 2026, 66(6) : 2745 - 2756
Less
收藏切换
Acta Microbiologica Sinica | 2026, 66(6): 2745-2756
Research Article
Vegetation types affect nitrite reductase genes in soils at different depths of the Minjiang River estuary wetland
Full
Tiejun HE1, 2, Guiping YE3, Ping YANG1, 2, Yongxin LIN1, 2
Affiliations
  • 1.Fujian Provincial Key Laboratory for Subtropical Resources and Environment, Fujian Normal University, Fuzhou, Fujian, China
  • 2.School of Geographical Sciences, Fujian Normal University, Fuzhou, Fujian, China
  • 3.College of Geography and Oceanography, Minjiang University, Fuzhou, Fujian, China
Published: 2026-06-04 doi: 10.13343/j.cnki.wsxb.20250777
Outline
收藏切换

Objective Coastal wetlands are important natural sources of nitrous oxide (N2O), and the distribution of denitrification genes nirS and nirK directly influences their N2O emission potential. Vegetation types can significantly regulate the abundance of these genes by altering soil physicochemical properties and carbon-nitrogen availability, while the underlying mechanisms remain unclear. Methods Soils were collected from five representative habitats—Kandelia obovata (mangrove), Spartina alterniflora, Cyperus malaccensis, Phragmites australis, and unvegetated mudflat—in the Minjiang River estuary wetland at depths of 0-10, 10-20, and 20-30 cm. The abundance of nirS and nirK was quantified by real-time quantitative PCR, and their environmental drivers were analyzed through random forest modeling and correlation analysis. Results The abundance of nirS and nirK in all the vegetated soils was significantly higher than that in the unvegetated mudflat, with the highest values observed in the surface soil (0-10 cm) under P. australis. Both genes showed significantly decreased abundance as the soil depth increased, presenting a distinct surface enrichment effect. The nirS/nirK ratio was greater than 5 across all soil samples, indicating the dominance of nirS-type denitrifiers. The mangrove surface soil exhibited the highest nirS/nirK ratio, likely due to low dissolved organic carbon (DOC) levels limiting nirK-type denitrifiers. Random forest analysis identified soil electrical conductivity as the primary driver of nirS and nirK abundance, while available phosphorus (AP) was the dominant factor influencing the nirS/nirK ratio. High salinity promoted the enrichment of both genes, whereas high AP concentrations increased the nirS/nirK ratio. Conclusion Vegetation type and soil depth jointly shape the distribution patterns of nitrite reductase genes in the Minjiang River estuary wetland by regulating soil salinity, DOC, and nutrient availability. The results provide insights for nitrogen cycle management in coastal wetlands.

estuary wetland  /  mangrove  /  Spartina alterniflora  /  soil depths  /  denitrification
Tiejun HE, Guiping YE, Ping YANG, Yongxin LIN. Vegetation types affect nitrite reductase genes in soils at different depths of the Minjiang River estuary wetland[J]. Acta Microbiologica Sinica, 2026 , 66 (6) : 2745 -2756 . DOI: 10.13343/j.cnki.wsxb.20250777
  • the National Natural Science Foundation of China(42377301)
  • the Talent Introduction Program of Minjiang University(MJY20012)
Year 2026 volume 66 Issue 6
PDF
20
8
Cite this Article
BibTeX
Article Info
doi: 10.13343/j.cnki.wsxb.20250777
  • Receive Date:2025-10-16
  • Online Date:2026-06-17
  • Published:2026-06-04
Article Data
Affiliations
History
  • Received:2025-10-16
  • Accepted:2025-11-24
Funding
the National Natural Science Foundation of China(42377301)
the Talent Introduction Program of Minjiang University(MJY20012)
Affiliations
    1.Fujian Provincial Key Laboratory for Subtropical Resources and Environment, Fujian Normal University, Fuzhou, Fujian, China
    2.School of Geographical Sciences, Fujian Normal University, Fuzhou, Fujian, China
    3.College of Geography and Oceanography, Minjiang University, Fuzhou, Fujian, China

Corresponding:

References
Share
https://castjournals.cast.org.cn/joweb/wswxb/EN/10.13343/j.cnki.wsxb.20250777
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT