Bacterial communities in oil contaminated soils: Biogeography and co-occurrence patterns. (July 2016)

• Record Type: Journal Article
• Authors: Jiao, Shuo; Liu, Zhenshan; Lin, Yanbing; Yang, Jun; Chen, Weimin; Wei, Gehong
• Is Part Of: Soil biology and biochemistry. Volume 98(2016)
• Page Start: 64
• Page End: 73
• Publication Date: 2016-07
• Subjects: Biogeography -- Oil contamination -- Co-occurrence patterns -- Biodiversity; Soil biochemistry -- Periodicals; Soil biology -- Periodicals; Sols -- Biochimie -- Périodiques; Sols -- Biologie -- Périodiques; Sols -- Microbiologie -- Périodiques; Bodembiologie; Biochemie; 631.46
• DOI: 10.1016/j.soilbio.2016.04.005
• Languages: English
• ISSNs: 0038-0717

Abstract

Abstract: To improve the knowledge about the biogeographic patterns of bacteria in soils contaminated with crude oil, we studied the effects of local geochemical properties and geographic distance on bacterial community structure in oil contaminated soil in five oil refineries (46–360 km apart). The microbial structure was significantly affected by soil environmental factors such as pH, total petroleum hydrocarbons (TPH), total nitrogen, and cadmium level. Microbial alpha-diversity was positively correlated with pH but negatively correlated with TPH. Among sampling sites, the community dissimilarities increased with spatial distance. Variation of bacterial community was mostly attributed to simultaneous effects of spatial distance and environmental factors, and purely spatial distance contributed more to the variation. Microbial generalist OTUs were broadly distributed and dominant in contaminated soils. Their populations were in low proportion (15.75%), but they had high relative abundance (65.05%), and some were associated with TPH-degradation. Network analysis indicated that microbial communities had non-random co-occurrence patterns. Keystone taxa were Rubrivivax, Nitrospira, Methylotenera, Methyloversatilis and Acidaminobacter . Microbial taxa from the same module had strong ecological linkages and were involved in biological electron-transfer, C and N-cycles, and organic contaminant degradation. Our results indicate that the same microbial groups with TPH-degradation ability can be assembled from indigenous microorganisms in separate regions through long term exposure to contamination. Highlights: Microbial geographic distributions in crude oil contaminated soil were analyzed. Microbial structure was related to spatial distance and environmental factors. Broadly distributed microbial generalist were dominant in contaminated soils. Non-random co-occurrence and functional driven modular patterns were exhibited.