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水文和土壤理化变量决定亚热带湖滨地区的根际微生物群。

Hydrological and soil physiochemical variables determine the rhizospheric microbiota in subtropical lakeshore areas.

作者信息

Zhang Xiaoke, Wang Huili, Li Zhifei, Xie Jun, Ni Jiajia

机构信息

Research Center of Aquatic Organism Conservation and Water Ecosystem Restoration in University of Anhui Province, Anqing Normal University, Anqing, China.

Key Laboratory of Tropical and Subtropical Fishery Resource Application and Cultivation, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.

出版信息

PeerJ. 2020 Sep 29;8:e10078. doi: 10.7717/peerj.10078. eCollection 2020.

DOI:10.7717/peerj.10078
PMID:33062450
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7531358/
Abstract

BACKGROUND

Due to intensive sluice construction and other human disturbances, lakeshore vegetation has been destroyed and ecosystems greatly changed. Rhizospheric microbiota constitute a key part of a functioning rhizosphere ecosystem. Maintaining rhizosphere microbial diversity is a central, critical issue for sustaining these rhizospheric microbiota functions and associated ecosystem services. However, the community composition and abiotic factors influencing rhizospheric microbiota in lakeshore remain largely understudied.

METHODS

The spatiotemporal composition of lakeshore rhizospheric microbiota and the factors shaping them were seasonally investigated in three subtropical floodplain lakes (Lake Chaohu, Lake Wuchang, and Lake Dahuchi) along the Yangtze River in China through 16S rRNA amplicon high-throughput sequencing.

RESULTS

Our results showed that four archaeal and 21 bacterial phyla (97.04 ± 0.25% of total sequences) dominated the rhizospheric microbiota communities of three lakeshore areas. Moreover, we uncovered significant differences among rhizospheric microbiota among the lakes, seasons, and average submerged depths. The Acidobacteria, Actinobacteria, Bacteroidetes, Bathyarchaeota, Gemmatimonadetes, and Proteobacteria differed significantly among the three lakes, with more than half of these dominant phyla showing significant changes in abundance between seasons, while the DHVEG-6, Ignavibacteriae, Nitrospirae, Spirochaetes, and Zixibacteria varied considerably across the average submerged depths ( = 58 sites in total). Canonical correspondence analyses revealed that the fluctuation range of water level and pH were the most important factors influencing the microbial communities and their dominant microbiota, followed by total nitrogen, moisture, and total phosphorus in soil. These results suggest a suite of hydrological and soil physiochemical variables together governed the differential structuring of rhizospheric microbiota composition among different lakes, seasons, and sampling sites. This work thus provides valuable ecological information to better manage rhizospheric microbiota and protect the vegetation of subtropical lakeshore areas.

摘要

背景

由于密集的水闸建设和其他人为干扰,湖岸植被遭到破坏,生态系统发生了巨大变化。根际微生物群是功能正常的根际生态系统的关键组成部分。维持根际微生物多样性是维持这些根际微生物群功能及相关生态系统服务的核心关键问题。然而,影响湖岸根际微生物群的群落组成和非生物因素在很大程度上仍未得到充分研究。

方法

通过16S rRNA扩增子高通量测序,对中国长江沿岸的三个亚热带洪泛平原湖泊(巢湖、武昌湖和大池湖)湖岸根际微生物群的时空组成及其形成因素进行了季节性调查。

结果

我们的结果表明,四个古菌门和21个细菌门(占总序列的97.04±0.25%)主导了三个湖岸地区的根际微生物群落。此外,我们发现不同湖泊、季节和平均淹没深度之间的根际微生物群存在显著差异。酸杆菌门、放线菌门、拟杆菌门、深古菌门、芽单胞菌门和变形菌门在三个湖泊之间存在显著差异,这些优势菌门中有一半以上在不同季节间丰度变化显著,而DHVEG-6、Ignavibacteriae、硝化螺旋菌门、螺旋体门和紫细菌门在平均淹没深度间差异很大(总共58个位点)。典范对应分析表明,水位和pH的波动范围是影响微生物群落及其优势微生物群的最重要因素,其次是土壤中的总氮、湿度和总磷。这些结果表明,一系列水文和土壤理化变量共同控制了不同湖泊、季节和采样点之间根际微生物群组成的差异结构。因此,这项工作为更好地管理根际微生物群和保护亚热带湖岸地区的植被提供了有价值的生态信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/b4b06ac015ec/peerj-08-10078-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/5c6989489876/peerj-08-10078-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/5c8f693be9f8/peerj-08-10078-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/028df4da8b7c/peerj-08-10078-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/de37814d73b4/peerj-08-10078-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/738d862dc0da/peerj-08-10078-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/b4b06ac015ec/peerj-08-10078-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/5c6989489876/peerj-08-10078-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/5c8f693be9f8/peerj-08-10078-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/028df4da8b7c/peerj-08-10078-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/de37814d73b4/peerj-08-10078-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/738d862dc0da/peerj-08-10078-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c2c/7531358/b4b06ac015ec/peerj-08-10078-g006.jpg

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