Soil bacterial community response to long-term land use conversion in Yellow River Delta

2020 ◽  
Vol 156 ◽  
pp. 103709 ◽  
Author(s):  
Huan He ◽  
Yongjun Miao ◽  
Yandong Gan ◽  
Shaodong Wei ◽  
Shangjin Tan ◽  
...  
2020 ◽  
Vol 31 (16) ◽  
pp. 2255-2267 ◽  
Author(s):  
Qingqing Zhao ◽  
Junhong Bai ◽  
Yongchao Gao ◽  
Haixiao Zhao ◽  
Guangliang Zhang ◽  
...  

Archaea ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Shaoping Kuang ◽  
Yaqing Su ◽  
Huihui Wang ◽  
Wenjuan Yu ◽  
Qiaolin Lang ◽  
...  

Microorganisms are sensitive indicators of edaphic environmental variation. The Illumina MiSeq sequencing technology was used to analyze soil bacterial community diversity around an aging oil sludge in the Yellow River Delta. The alpha diversity index of soil bacterial community results (Ace, Chao, Shannon, and Simpson) determined that bacterial community diversity sampling within the scope of a 20 cm radius from the center of an aging oil sludge spot showed the most abundant diversity. The level of diversity distributed symmetrically with radial direction from the center of the aging oil sludge spot. Over the distance of 100 m from the center, bacterial community diversity tends to be monotonous, with small differences especially in the horizontal direction underground. The alpha-diversity indicators also showed that the bacterial diversity of samples were close under the aging oil sludge. In addition, the aging oil sludge inhibited the growth of bacteria compared with the referenced unpolluted soil sample and also increased the diversities of soil bacteria. At the phylum level, the Proteobacteria, Chloroflexi, and Actinobacteria existing in the aging oil sludge-contaminated wetland soil constituted a larger proportion of the community, while the proportion of Firmicute was relatively less. On the contrary, Firmicute showed the highest content of 63.8% in the referenced soil. Under the genus level and family level, the corresponding strains that resisted the aging oil sludge were selected. According to the bacterial diversity analysis, the basic structure of the bacterial community which could be used for remediation of aging oil sludge-contaminated soil was also developed.


2009 ◽  
Vol 17 (6) ◽  
pp. 1132-1136
Author(s):  
Qing-Mei LI ◽  
Long-Yu HOU ◽  
Yan LIU ◽  
Feng-Yun MA

Forests ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 51 ◽  
Author(s):  
Jiangmei Qiu ◽  
Jianhua Cao ◽  
Gaoyong Lan ◽  
Yueming Liang ◽  
Hua Wang ◽  
...  

Land use patterns can change the structure of soil bacterial communities. However, there are few studies on the effects of land use patterns coupled with soil depth on soil bacterial communities in the karst graben basin of Yunnan province, China. Consequently, to reveal the structure of the soil bacterial community at different soil depths across land use changes in the graben basins of the Yunnan plateau, the relationship between soil bacterial communities and soil physicochemical properties was investigated for a given area containing woodland, shrubland, and grassland in Yunnan province by using next-generation sequencing technologies coupled with soil physicochemical analysis. Our results indicated that the total phosphorus (TP), available potassium (AK), exchangeable magnesium (E-Mg), and electrical conductivity (EC) in the grassland were significantly higher than those in the woodland and shrubland, yet the total nitrogen (TN) and soil organic carbon (SOC) in the woodland were higher than those in the shrubland and grassland. Proteobacteria, Verrucomicrobia, and Acidobacteria were the dominant bacteria, and their relative abundances were different in the three land use types. SOC, TN, and AK were the most important factors affecting soil bacterial communities. Land use exerts strong effects on the soil bacterial community structure in the soil’s surface layer, and the effects of land use attenuation decrease with soil depth. The nutrient content of the soil surface layer was higher than that of the deep layer, which was more suitable for the survival and reproduction of bacteria in the surface layer.


2013 ◽  
Vol 36 (2) ◽  
pp. 137-144 ◽  
Author(s):  
Afnan Khalil Ahmad Suleiman ◽  
Lupatini Manoeli ◽  
Juliano Tomazzoni Boldo ◽  
Marcos G. Pereira ◽  
Luiz Fernando Wurdig Roesch

2014 ◽  
Vol 6 (2) ◽  
pp. 125-130 ◽  
Author(s):  
Sanin Musovic ◽  
Uli Klümper ◽  
Arnaud Dechesne ◽  
Jakob Magid ◽  
Barth F. Smets

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