title: The diversity changes of soil microbial communities stimulated by climate, soil type and vegetation type analyzed via a functional gene array.
abstract: The aim of this study was to analyze the changes of soil microbial communities stimulated by climate, soil type and vegetation type using a functional gene array. The dataset GSE51592 was obtained from Gene Expression Omnibus, including 54 soil samples. Genetic diversity variation of samples under different sites, soil and vegetation types was examined by calculating the percentage of specific gene number in each sample. Furthermore, gene functional categories and microorganism species in samples under different environmental factors were respectively divided. Gene number in samples with cropping was higher than in samples without cropping. When site, soil type and vegetation type were as the sole variable, respectively, the percentage of specific genes in samples from Yingtan, in phaeozem samples and in samples with cropping was higher. Furthermore, the percentage of gene number in organic remediation for phaeozem and cambisol samples was significant at p < 0.05, comparing with that for acrisol samples. At superkingdom level of microorganisms, for the same category, there was no significant difference (p < 0.05) between the samples. At phylum level, for the categories of Bacteroidetes and Cyanobacteria, the percentage of gene number in cambisol samples was significantly higher (p < 0.05). Conversely, in the category of Proteobacteria, the percentage of gene number in phaeozem and acrisol samples was markedly higher (p < 0.05). Microbial diversity of soil was cooperatively driven by climate, soil type and vegetation type.
authors: School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China.|Low Carbon Energy Institute, China University of Mining and Technology, #1 Daxue Road, Xuzhou, 221008, Jiangsu, China.
authors: Fu
authors: F
authors: Chen
authors: School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China.
authors: Min
authors: M
authors: Tan
authors: School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China.
authors: Yongjun
authors: Y
authors: Yang
authors: Low Carbon Energy Institute, China University of Mining and Technology, #1 Daxue Road, Xuzhou, 221008, Jiangsu, China. jmamed@163.com.
authors: Jing
authors: J
authors: Ma
authors: Low Carbon Energy Institute, China University of Mining and Technology, #1 Daxue Road, Xuzhou, 221008, Jiangsu, China.
authors: Shaoliang
authors: S
authors: Zhang
authors: School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China.
authors: Gang
authors: G
authors: Li
mesh_terms: D001419:Bacteria / Q000145:classification* / Q000235:genetics / Q000254:growth & development; D044822:Biodiversity; D002980:Climate; D018628:Gene Dosage; D015964:Gene Expression Regulation, Bacterial; D005798:Genes, Bacterial; D059013:Microbial Consortia; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010944:Plants / Q000145:classification*; D012987:Soil / Q000145:classification*; D012988:Soil Microbiology
chemical_list: D012987:Soil
keywords: Climate; Functional gene array; Microbial community diversity; Soil type; Vegetation type