Evidence map›Paper›PMID 31392608›Full record

ArticleEnvironmental science and pollution research international2019

Soil water content and pH drive archaeal distribution patterns in sediment and soils of water-level-fluctuating zones in the East Dongting Lake wetland, China.

Wei Li, Defeng Feng, Gang Yang, Zhengmiao Deng, Junpeng Rui, Huai Chen

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Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wei LiKey Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.
Defeng FengResearch Institute of Resource Insects, Chinese Academy of Forestry, Kunming, 650224, China.
Gang YangSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, 621010, China.
Zhengmiao DengKey Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Hunan, 410125, China.
Junpeng RuiKey Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.
Huai ChenKey Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China. chenhuai@cib.ac.cn.ORCID http://orcid.org/0000-0001-7650-289X

Funding

Key Research Program of Frontier Sciences, CAS QYZDB-SSW-DQC007National Key R & D Program of China 2016YFC0501804National Natural Science Foundation of China 31570480National Natural Science Foundation of China 31700411
6 · The paper itself

Abstract

Archaea play a vital role in Earth's geochemical cycles, but the factors that drive their distribution between sediments and water-level-fluctuating zones in the East Dongting Lake (EDL) wetland are poorly understood. Here, we used Illumina MiSeq to investigate the variation in the soil archaeal community structure and diversity among sediments and four water-level-fluctuating zones (mudflat, sedge, sedge-Phragmites, and Phragmites) in the EDL wetland. Diverse archaeal assemblages were found in our study, Crenarchaeota, Euryarchaeota, and ammonia-oxidizing and methanogenic subset were the dominant groups, and all their abundances shifted from sediment to water-level-fluctuating zones. The principal coordinates analysis and cluster analysis showed that the overall archaeal community structure was separated into two clusters: cluster I contained nine samples from sediment, mudflat, and sedge zones, whereas cluster II contained six samples from sedge-Phragmites and Phragmites zones. Archaeal diversity was significantly highest in sediment and lowest in Phragmites zone soils. The Mantel test showed that the variation in archaeal community structure was significantly positively correlated with soil water content and pH. The relative abundances of Crenarchaeota and Nitrososphaerales decreased with soil water content, while Euryarchaeota and Methanomicrobiales increased with soil water content. The relative abundance of Methanomicrobiales significantly decreased with pH (R

Indexed as

Soil MicrobiologyWetlandsAmmoniaArchaeaBiodiversityChinaCluster AnalysisGeologic SedimentsHydrogen-Ion ConcentrationLakesPhylogenyRNA, Ribosomal, 16SSoilWaterAmmoniaRNA, Ribosomal, 16SSoilWaterAbundanceDiversitypHWater contentWetland

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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.