Spatial Patterns and Drivers of Microbial Taxa in a Karst Broadleaf Forest

Spatial patterns and drivers of soil microbial communities have not yet been well documented. Here, we used geostatistical modeling and Illumina sequencing of 16S rRNA genes to explore how the main microbial taxa at the phyla level are spatially distributed in a 25-ha karst broadleaf forest in south...

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Main Authors: Min Song, Wanxia Peng, Fuping Zeng, Hu Du, Qin Peng, Qingguo Xu, Li Chen, Fang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Microbiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fmicb.2018.01691/full
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author Min Song
Min Song
Min Song
Wanxia Peng
Wanxia Peng
Fuping Zeng
Fuping Zeng
Hu Du
Hu Du
Qin Peng
Qingguo Xu
Li Chen
Li Chen
Fang Zhang
Fang Zhang
author_facet Min Song
Min Song
Min Song
Wanxia Peng
Wanxia Peng
Fuping Zeng
Fuping Zeng
Hu Du
Hu Du
Qin Peng
Qingguo Xu
Li Chen
Li Chen
Fang Zhang
Fang Zhang
author_sort Min Song
collection DOAJ
description Spatial patterns and drivers of soil microbial communities have not yet been well documented. Here, we used geostatistical modeling and Illumina sequencing of 16S rRNA genes to explore how the main microbial taxa at the phyla level are spatially distributed in a 25-ha karst broadleaf forest in southwest China. Proteobacteria, dominated by Alpha- and Deltaproteobacteria, was the most abundant phylum (34.51%) in the karst forest soils. Other dominating phyla were Actinobacteria (30.73%), and Acidobacteria (12.24%). Soil microbial taxa showed spatial dependence with an autocorrelation range of 44.4–883.0 m, most of them within the scope of the study plots (500 m). An increasing trend was observed for Alphaproteobacteria, Deltaproteobacteria, and Chloroflexi from north to south in the study area, but an opposite trend for Actinobacteria, Acidobacteira, and Firmicutes was observed. Thaumarchaeota, Bacteroidetes, Gemmatimonadetes, and Verrucomicrobia had patchy patterns, Nitrospirae had a unimodal pattern, and Latescibacteria had an intermittent pattern with low and high value strips. Location, soil total phosphorus, elevation, and plant density were significantly correlated with main soil bacterial taxa in the karst forest. Moreover, the total variation in soil microbial communities better explained by spatial factors than environmental variables. Furthermore, a large part of variation (76.8%) was unexplained in the study. Therefore, our results suggested that dispersal limitation was the primary driver of spatial pattern of soil microbial taxa in broadleaved forest in karst areas, and other environmental variables (i.e., soil porosity and temperature) should be taken into consideration.
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spelling doaj.art-ab697cc475bf40dcaa84d4b2f27f7f852022-12-21T19:34:46ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2018-07-01910.3389/fmicb.2018.01691368682Spatial Patterns and Drivers of Microbial Taxa in a Karst Broadleaf ForestMin Song0Min Song1Min Song2Wanxia Peng3Wanxia Peng4Fuping Zeng5Fuping Zeng6Hu Du7Hu Du8Qin Peng9Qingguo Xu10Li Chen11Li Chen12Fang Zhang13Fang Zhang14Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaHuanjiang Observation and Research Station for Karst Ecosystems, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaAgricultural College, Hunan Agricultural University, Changsha, ChinaKey Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaHuanjiang Observation and Research Station for Karst Ecosystems, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaKey Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaHuanjiang Observation and Research Station for Karst Ecosystems, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaKey Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaHuanjiang Observation and Research Station for Karst Ecosystems, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, ChinaAgricultural College, Hunan Agricultural University, Changsha, ChinaKey Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaHuanjiang Observation and Research Station for Karst Ecosystems, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaKey Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaHuanjiang Observation and Research Station for Karst Ecosystems, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, ChinaSpatial patterns and drivers of soil microbial communities have not yet been well documented. Here, we used geostatistical modeling and Illumina sequencing of 16S rRNA genes to explore how the main microbial taxa at the phyla level are spatially distributed in a 25-ha karst broadleaf forest in southwest China. Proteobacteria, dominated by Alpha- and Deltaproteobacteria, was the most abundant phylum (34.51%) in the karst forest soils. Other dominating phyla were Actinobacteria (30.73%), and Acidobacteria (12.24%). Soil microbial taxa showed spatial dependence with an autocorrelation range of 44.4–883.0 m, most of them within the scope of the study plots (500 m). An increasing trend was observed for Alphaproteobacteria, Deltaproteobacteria, and Chloroflexi from north to south in the study area, but an opposite trend for Actinobacteria, Acidobacteira, and Firmicutes was observed. Thaumarchaeota, Bacteroidetes, Gemmatimonadetes, and Verrucomicrobia had patchy patterns, Nitrospirae had a unimodal pattern, and Latescibacteria had an intermittent pattern with low and high value strips. Location, soil total phosphorus, elevation, and plant density were significantly correlated with main soil bacterial taxa in the karst forest. Moreover, the total variation in soil microbial communities better explained by spatial factors than environmental variables. Furthermore, a large part of variation (76.8%) was unexplained in the study. Therefore, our results suggested that dispersal limitation was the primary driver of spatial pattern of soil microbial taxa in broadleaved forest in karst areas, and other environmental variables (i.e., soil porosity and temperature) should be taken into consideration.https://www.frontiersin.org/article/10.3389/fmicb.2018.01691/fullspatial patterndriversoil microbial communitiesIllumina sequencingkarst forest
spellingShingle Min Song
Min Song
Min Song
Wanxia Peng
Wanxia Peng
Fuping Zeng
Fuping Zeng
Hu Du
Hu Du
Qin Peng
Qingguo Xu
Li Chen
Li Chen
Fang Zhang
Fang Zhang
Spatial Patterns and Drivers of Microbial Taxa in a Karst Broadleaf Forest
Frontiers in Microbiology
spatial pattern
driver
soil microbial communities
Illumina sequencing
karst forest
title Spatial Patterns and Drivers of Microbial Taxa in a Karst Broadleaf Forest
title_full Spatial Patterns and Drivers of Microbial Taxa in a Karst Broadleaf Forest
title_fullStr Spatial Patterns and Drivers of Microbial Taxa in a Karst Broadleaf Forest
title_full_unstemmed Spatial Patterns and Drivers of Microbial Taxa in a Karst Broadleaf Forest
title_short Spatial Patterns and Drivers of Microbial Taxa in a Karst Broadleaf Forest
title_sort spatial patterns and drivers of microbial taxa in a karst broadleaf forest
topic spatial pattern
driver
soil microbial communities
Illumina sequencing
karst forest
url https://www.frontiersin.org/article/10.3389/fmicb.2018.01691/full
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