Abstract
Soil denitrification is an important process in the emission of N2O, an atmospheric greenhouse gas. Environmental factors of different vegetation types are largely heterogeneous, which may directly or indirectly affect N2O fluxes. Through high-throughput sequencing of the nitrite reductase gene nirS, this study investigated the influence of vegetation type on the structure and diversity of denitrifying microbial communities in Qinghai Lake wetlands, China. The results showed that among the four vegetation types in the Qinghai Lake wetlands, Carex rigescens (CR) had the highest species richness index, and Leymus secalinus (LS) had the lowest species richness index. Species evenness followed the opposite trend. Proteobacteria were the main denitrifying bacterial phylum in the wetland soil of Qinghai Lake. There were 40 differential bacterial flora at different levels in the four vegetation types, most of which belonged to Proteobacteria. Magnetospirillum is a bacterium that differed significantly across the four vegetation types, and it was one of the main denitrifying taxa based on relative abundance in the LS vegetation type. Soil pH was the most important regulating factor of nirS-type denitrifying microbial community in Qinghai Lake wetland. In summary, the succession of vegetation types in the Qinghai Lake Wetlands changes the soil microenvironment and significantly affects the community structure and diversity of the denitrifying microbial communities. The large-area growth of CR might even increase the emission of nitrous oxide. This study can serve as a reference for further exploration of the N2O emission mechanism in the unique habitats of alpine wetlands.
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Data Availability
The raw data have been uploaded to NCBI, and Its BioProject is PRJNA807501.
Code Availability
The code and table data for this article are available from the web page(https:// github.com /Zhangni111 /nirSDMCoystersAnalysis) and are available.
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We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work. The authors would like to thank the editor and anonymous reviewers for their valuable comments and suggestions to improve the quality of this paper.
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This work was supported by the National Natural Science Foundation of China [Grant Number 41661023], the Second Comprehensive Scientific Expedition to the Qinghai-Tibet Plateau [Grant Number 2019QZKK0405], and Qinghai Provincial Key Laboratory of Physical Geography and Environmental Process, Special Project of Qinghai Innovation Platform Construction [Grant Number 2020-ZJ-Y06].
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NZ, KC and YD designed the experiment, NZ, YY, HB, DZ, WQ and BC jointly completed the experiment, ZN, YY and JY jointly analyzed the data, NZ completed the first draft, KC and YD revised the manuscript; All authors have read and approved the manuscript for publication.
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Zhang, N., Chen, K., Du, Y. et al. The Influence Mechanism of Vegetation Type on the Characteristics of nirS-Type Denitrifying Microbial Communities in Qinghai Lake Wetlands. Curr Microbiol 79, 242 (2022). https://doi.org/10.1007/s00284-022-02912-7
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DOI: https://doi.org/10.1007/s00284-022-02912-7