scholarly journals Microbial Community Structures and Important Associations Between Soil Nutrients and the Responses of Specific Taxa to Rice-Frog Cultivation

2019 ◽  
Vol 10 ◽  
Author(s):  
Xiaomei Yi ◽  
Kai Yi ◽  
Kaikai Fang ◽  
Hui Gao ◽  
Wei Dai ◽  
...  
Keyword(s):  
Microbial Community ◽  
Soil Nutrients ◽  
Community Structures ◽  
Microbial Community Structures

scholarly journals The Response of Soil Nutrients and Microbial Community Structures in Long-Term Tea Plantations and Diverse Agroforestry Intercropping Systems

2021 ◽  
Vol 13 (14) ◽  
pp. 7799
Author(s):  
Guolin Zhang ◽  
Xingbiao Chu ◽  
Hanyang Zhu ◽  
Dongsheng Zou ◽  
Longcheng Li ◽  
...  
Keyword(s):  
Microbial Community ◽  
Soil Nutrients ◽  
Nutrient Dynamics ◽  
Structural Diversity ◽  
Available Phosphorus ◽  
Community Structures ◽  
Available Nitrogen ◽  
Microbial Community Structures ◽  
Tea Plantations

During tea cultivation, diverse agroforestry is an important and established intercropping measure, with most studies concentrating on ecological service provision and economic returns. However, the response of soil nutrients and microbial community structures in long-term tea plantations with diverse agroforestry intercropping systems is poorly understood. In the present field study (2015), three intercropping agroforestry-tea patterns (Osmanthus-Tea (OT), Michelia-Tea (MT), Osmanthus-Michelia-Tea (OMT)) along with a study control (C) were examined in terms of these two knowledge gaps. Results showed that, in terms of tea cultivation, the OMT system is more suitable than the OT and MT systems. The OMT system significantly increased the total nitrogen (TN, 16.4%), total potassium (TK, 10.5%), available nitrogen (AN, 14.2%), available phosphorus (AP, 26.7%) and soil organic matter (SOM, 28.9%). The OMT system increased phylum Firmicutes and Bacteroidetes abundance by 35.8% and 9.6%. In addition, the OMT system enhanced the abundance of class Bacteroidia (99.5%), Erysipelotrichia (96.9%), Clostridia (93.5%) and Actinobacteria (19.6%), respectively. In general, the phylum bacteria Proteobacteria, Firmicutes, Actinobacteria accounted for the largest proportion of bacteria in all three intercropping systems. In this study, the abundance of Firmicutes, Actinobacteria, Proteobacteria, and Bacteroidetes were positively correlated with AN, SOM and TP. The results of the present study will help to develop a better understanding of the benefits imposed by different agroforestry intercropping systems on nutrient dynamics and microbial structural diversity during tea cultivation.

scholarly journals Microbial Population Changes during Bioremediation of an Experimental Oil Spill

1999 ◽  
Vol 65 (8) ◽  
pp. 3566-3574 ◽  
Author(s):  
Sarah J. MacNaughton ◽  
John R. Stephen ◽  
Albert D. Venosa ◽  
Gregory A. Davis ◽  
Yun-Juan Chang ◽  
...  
Keyword(s):  
Microbial Community ◽  
Bacterial Community ◽  
Oil Spill ◽  
Phospholipid Fatty Acid ◽  
Community Structures ◽  
Gram Negative ◽  
Dgge Analysis ◽  
16S Rdna Pcr ◽  
Microbial Community Structures ◽  
Plfa Analysis

ABSTRACT Three crude oil bioremediation techniques were applied in a randomized block field experiment simulating a coastal oil spill. Four treatments (no oil control, oil alone, oil plus nutrients, and oil plus nutrients plus an indigenous inoculum) were applied. In situ microbial community structures were monitored by phospholipid fatty acid (PLFA) analysis and 16S rDNA PCR-denaturing gradient gel electrophoresis (DGGE) to (i) identify the bacterial community members responsible for the decontamination of the site and (ii) define an end point for the removal of the hydrocarbon substrate. The results of PLFA analysis demonstrated a community shift in all plots from primarily eukaryotic biomass to gram-negative bacterial biomass with time. PLFA profiles from the oiled plots suggested increased gram-negative biomass and adaptation to metabolic stress compared to unoiled controls. DGGE analysis of untreated control plots revealed a simple, dynamic dominant population structure throughout the experiment. This banding pattern disappeared in all oiled plots, indicating that the structure and diversity of the dominant bacterial community changed substantially. No consistent differences were detected between nutrient-amended and indigenous inoculum-treated plots, but both differed from the oil-only plots. Prominent bands were excised for sequence analysis and indicated that oil treatment encouraged the growth of gram-negative microorganisms within the α-proteobacteria andFlexibacter-Cytophaga-Bacteroides phylum. α-Proteobacteria were never detected in unoiled controls. PLFA analysis indicated that by week 14 the microbial community structures of the oiled plots were becoming similar to those of the unoiled controls from the same time point, but DGGE analysis suggested that major differences in the bacterial communities remained.

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