Evidence map›Paper›PMID 32418104›Full record

ArticleEnvironmental science and pollution research international2020

nirS-type denitrifying bacterial communities in relation to soil physicochemical conditions and soil depths of two montane riparian meadows in North China.

Xiaoli Han, Chunguo Huang, Shahbaz Khan, Yunxiang Zhang, Yinglong Chen, Jinping Guo

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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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2 citing papers in PubMed.

  1. Article
  2. Effects of grazing prohibition onFrontiers in microbiology · 2023
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaoli HanCollege of Forestry, Shanxi Agricultural University, Taigu, 030801, China.
Chunguo HuangCollege of Agriculture, Shanxi Agricultural University, Taigu, 030801, China.
Shahbaz KhanCollege of Agriculture, Shanxi Agricultural University, Taigu, 030801, China.
Yunxiang ZhangCollege of Forestry, Shanxi Agricultural University, Taigu, 030801, China.
Yinglong ChenInstitute of Agriculture, UWA School of Agriculture and Environment, The University of Western Australia, Perth, 6009, Australia.
Jinping GuoCollege of Forestry, Shanxi Agricultural University, Taigu, 030801, China. jinpguo412@163.com.ORCID http://orcid.org/0000-0002-7000-7668

Funding

Shanxi Provincial Key Research and Development Project 2018LYCX32
6 · The paper itself

Abstract

Mountain riparian zones are excellent buffers for protecting aquatic ecosystems from nutrient runoff in nitrogen deposition processes due to fertilization and manure. Denitrification is a critical process for transferring soil N to the atmosphere. Denitrifying bacterial communities in soil are indicative of the soil quality of a functional ecosystem. We investigated the effects of physicochemical properties of soil on the diversity and activity of denitrifiers in the top-soil and sub-soil of two typical montane riparian meadows: a multi-colored and a flood-plain meadow. Illumina MiSeq 2500 sequencing of nirS showed that the multi-colored meadow had greater diversity and abundance of nirS-type denitrifiers than the flood-plain meadow and that the total N content, ammonium content, and denitrification enzyme activity (DEA) in soil differed significantly between the two types of meadows. The abundances of dominant denitrifiers at phylum and genus levels showed different responses to the two soil layers of the two meadow types. In top-soils, the highest abundance of Firmicutes was recorded in the multi-colored meadow, while in the flood-plain meadow, there was the highest abundance of Proteobacteria. The Actinobacteria abundance was the highest in top-soil and sub-soil of the flood-plain meadow. The abundance of Chloroflexi was the highest in top-soil of the flood-plain meadow and in sub-soil of the multi-colored meadow. The diversity of denitrifying bacteria was strongly influenced by variations of soil properties down the soil profile. Spearman's rank correlation analyses showed that the diversity and community composition of denitrifying bacteria were strongly associated with most of the soil properties. Therefore, physicochemical soil properties, and particularly the organic carbon, nitrate, and ammonium contents, influence the diversity and abundance of denitrifiers in soil.

Indexed as

EcosystemSoilBacteriaChinaDenitrificationGrasslandSoil MicrobiologySoilDenitrifying bacterial communityIllumina MiSeq 2500 sequencingMontane meadowsSoil depthSoil properties

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.