干旱区生态环境知识资源中心(Arid): Soil Property and Plant Diversity Determine Bacterial Turnover and Network Interactions in a Typical Arid Inland River Basin, Northwest China

Arid

DOI	10.3389/fmicb.2019.02655
	Soil Property and Plant Diversity Determine Bacterial Turnover and Network Interactions in a Typical Arid Inland River Basin, Northwest China
	Wang, Wenjuan 1; Wang, Jianming 1; Ye, Ziqi 1; Zhang, Tianhan 1; Qu, Laiye 2; Li, Jingwen 1
通讯作者	Li, Jingwen
来源期刊	FRONTIERS IN MICROBIOLOGY
ISSN	1664-302X
出版年	2019
卷号	10
英文摘要	Water sources from the lower reaches of the Heihe River northwest China, located in an arid area impacted by environmental stresses, have promoted changes to the local soil and plant conditions; however, our understanding of variations and drivers of soil bacterial communities in an arid inland river basin remains unclear. Therefore, we collected 39 soil samples from a riparian oasis zone (ROZ) to the circumjacent desert zone (CDZ) at the lower reaches of Heihe River to evaluate bacterial communities based on the 16S rRNA gene data. We found that the bacterial community composition differed between ROZ and CDZ habitats, with significantly higher relative abundance of the phyla Gemmatimonadetes and Acidobacteria in ROZ, whereas the abundance of the phyla Actinobacteria and Deinococcus-Thermus was greater in CDZ. The difference in the bacterial community was almost entirely generated by the species turnover rather than the nestedness among all samples. In addition, we found that bacterial alpha-diversity index showed no significant difference between ROZ and CDZ habitats. The distance-decay analysis showed that spatial distance, plant community, soil property, and plant functional trait were correlated with bacterial community variations. However, the variation partition analysis (VPA) revealed that both soil properties and plant community strongly explained the difference [such as soil water content (WC), soil silt content, and plant community structure] compared with plant functional traits in bacterial beta-diversity and species turnover. Based on a co-occurrence network analysis, we found that the bacterial network of ROZ, which had more negative correlations, higher average connectivity, shorter average path length, and smaller modularity, was more complex than the network of CDZ. This suggested that the bacterial community was more stable and less vulnerable to change in the ROZ habitat than in the CDZ habitat. Overall, our findings suggest that the heterogeneity of soil properties and plant community collectively affect the structure of the soil bacterial community in an arid inland river basin. However, the influence of plant functional traits on the variation of the bacterial community depends on soil properties and plant community.
英文关键词	arid land inland river basin bacterial beta-diversity bacterial network interactions plant community soil property
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000501850700001
WOS关键词	BELOW-GROUND BIODIVERSITY ; MICROBIAL COMMUNITIES ; HEIHE RIVER ; PATTERNS ; RICHNESS ; COMPONENTS ; HABITATS ; MODELS ; ALPINE ; SCALE
WOS类目	Microbiology
WOS研究方向	Microbiology
EI主题词	2019-11-26
来源机构	北京林业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310993
作者单位	1.Beijing Forestry Univ, Coll Forestry, Beijing, Peoples R China; 2.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Wenjuan,Wang, Jianming,Ye, Ziqi,et al. Soil Property and Plant Diversity Determine Bacterial Turnover and Network Interactions in a Typical Arid Inland River Basin, Northwest China[J]. 北京林业大学,2019,10.
APA	Wang, Wenjuan,Wang, Jianming,Ye, Ziqi,Zhang, Tianhan,Qu, Laiye,&Li, Jingwen.(2019).Soil Property and Plant Diversity Determine Bacterial Turnover and Network Interactions in a Typical Arid Inland River Basin, Northwest China.FRONTIERS IN MICROBIOLOGY,10.
MLA	Wang, Wenjuan,et al."Soil Property and Plant Diversity Determine Bacterial Turnover and Network Interactions in a Typical Arid Inland River Basin, Northwest China".FRONTIERS IN MICROBIOLOGY 10(2019).