Food for microorganisms: Position-specific 13 C labeling and 13 C-PLFA analysis reveals preferences for sorbed or necromass C

Geoderma ◽  
2018 ◽  
Vol 312 ◽  
pp. 86-94 ◽  
Author(s):  
Carolin Apostel ◽  
Jennifer Herschbach ◽  
Ezekiel K. Bore ◽  
Sandra Spielvogel ◽  
Yakov Kuzyakov ◽  
...  
Keyword(s):  
Plfa Analysis

scholarly journals Phospholipid fatty acid (PLFA) analysis as a tool to estimate absolute abundances from compositional 16S rRNA bacterial metabarcoding data

2021 ◽  
pp. 106271
Author(s):  
Natascha Lewe ◽  
Syrie Hermans ◽  
Gavin Lear ◽  
Laura T. Kelly ◽  
Georgia Thomson-Laing ◽  
...  
Keyword(s):  
Fatty Acid ◽  
16S Rrna ◽  
Phospholipid Fatty Acid ◽  
Plfa Analysis

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.

Development of microbial community structure in vegetable-growing soils from open-field to plastic-greenhouse cultivation based on the PLFA analysis

2016 ◽  
Vol 16 (8) ◽  
pp. 2041-2049 ◽  
Author(s):  
Zhiyuan Yao ◽  
Jiajia Xing ◽  
Haiping Gu ◽  
Haizhen Wang ◽  
Jianjun Wu ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Open Field ◽  
Microbial Community Structure ◽  
Greenhouse Cultivation ◽  
Plfa Analysis

scholarly journals Linking Toluene Degradation with Specific Microbial Populations in Soil

1999 ◽  
Vol 65 (12) ◽  
pp. 5403-5408 ◽  
Author(s):  
Jessica R. Hanson ◽  
Jennifer L. Macalady ◽  
David Harris ◽  
Kate M. Scow
Keyword(s):  
Microbial Community ◽  
Microbial Population ◽  
Phospholipid Fatty Acid ◽  
Microbial Populations ◽  
Complex Environments ◽  
Toluene Degradation ◽  
Effective Technique ◽  
Soil Microbial ◽  
Isotope Tracer ◽  
Plfa Analysis

ABSTRACT Phospholipid fatty acid (PLFA) analysis of a soil microbial community was coupled with 13C isotope tracer analysis to measure the community’s response to addition of 35 μg of [13C]toluene ml of soil solution−1. After 119 h of incubation with toluene, 96% of the incorporated13C was detected in only 16 of the total 59 PLFAs (27%) extracted from the soil. Of the total 13C-enriched PLFAs, 85% were identical to the PLFAs contained in a toluene-metabolizing bacterium isolated from the same soil. In contrast, the majority of the soil PLFAs (91%) became labeled when the same soil was incubated with [13C]glucose. Our study showed that coupling13C tracer analysis with PLFA analysis is an effective technique for distinguishing a specific microbial population involved in metabolism of a labeled substrate in complex environments such as soil.

scholarly journals Assessing the Microbial Communities in Four Different Daqusby Using PCR-DGGE, PLFA, and Biolog Analyses

2020 ◽  
Vol 69 (1) ◽  
pp. 27-37
Author(s):  
YUXI LING ◽  
WENYING LI ◽  
TONG TONG ◽  
ZUMING LI ◽  
QIAN LI ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Denaturing Gradient Gel Electrophoresis ◽  
Phospholipid Fatty Acid ◽  
Bacterial Species ◽  
Carbon Sources ◽  
Bacterial Biomass ◽  
Biolog Ecoplates ◽  
Different Types ◽  
Gradient Gel Electrophoresis ◽  
Plfa Analysis

Daqu made from raw wheat, barley or pea is used as an inoculum for the fermentation of Chinese Baijiu. In this study, the microbial communities of four different types of Daqus (sauce-flavor Wuling Daqu, sauce and strong-flavor Baisha Daqu, strong-flavor Deshan Daqu, and light-flavor Niulanshan Daqu) were analyzed by polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE), phospholipid fatty acid (PLFA) analysis, and Biolog EcoPlates analysis (Biolog). Clear differences were seen between the microbial communities of the four Daqus. PCR-DGGE showed differences in the number and brightness of bands between the Daqus, indicating the presence of unique bacterial species in Deshan Daqu, Wuling Daqu, and Niulanshan Daqu. Lactobacillus sanfranciscensis, Bacillus thermoamylovorans, and some unclassified bacteria were unique to Wuling Daqu, Deshan Daqu, and Niulanshan Daqu, respectively. Moreover, some bacterial species were observed in all four Daqus. A total of 26 PLFAs between C12 to C20 were detected from the four Daqus by PLFA analysis. Wuling Daqu had the highest total and fungal biomasses, Baisha Daqu had the highest bacterial biomass, and Niulanshan Daqu had the highest ratio of fungal biomass to bacterial biomass. The Biolog results indicated differences in the carbon source use and mode of the four Daqus, and also demonstrated that each Daqu had varying abilities to utilize different types of carbon sources. The cluster analysis of the three methods showed that the microbial communities of the four Daqus were different. This study also demonstrates the applicability of the three analytical methods in the evaluating of the microbial communities of Daqus.

scholarly journals Phospholipid Fatty Acid (PLFA) Analysis of Rhizosphere Bacterial Communities in a Peat Soil

2002 ◽  
Vol 51 (1-2) ◽  
pp. 123-128 ◽  
Author(s):  
András Halbritter ◽  
T. Mogyoróssy
Keyword(s):  
Fatty Acid ◽  
Bacterial Communities ◽  
Phospholipid Fatty Acid ◽  
Plant Root ◽  
Peat Soil ◽  
Total Lipid Content ◽  
Gas Chromatography Mass Spectrometry ◽  
Root Cells ◽  
Plfa Analysis ◽  
Rhizosphere Bacterial Communities

To analyze the rhizosphere bacterial communities in wetlands, the total lipid content was extracted from a peat soil and 4 abundant wetland plant roots ( Typha angustifolia L., Salix cinerea L., Carex pseudocyperus L., Thelypteris palustris Salisb.). The separated phospholipid fraction was further fractionated and deriva­tized prior to gas chromatography-mass spectrometry (GC-MS) measurement. In the evaluation only the bacteria-specific fatty acids were used in order to neglect fatty acid information derived from plant root cells. Based on these analyses, a high level bacterial concentration was demonstrated in the rhizosphere, and the relative occurrence of aerobe and anaerobe, Gram positive and negative bacteria, methanotrophs, sulphate reducers and Actinobacteria was determined. Through the PLFA analysis the study of bacteria regardless of culturability was possible.

Phospholipid fatty acid (PLFA) analysis for profiling microbial communities in offshore produced water

2017 ◽  
Vol 122 (1-2) ◽  
pp. 194-206 ◽  
Author(s):  
Fuqiang Fan ◽  
Baiyu Zhang ◽  
Penny L. Morrill
Keyword(s):  
Fatty Acid ◽  
Microbial Communities ◽  
Produced Water ◽  
Phospholipid Fatty Acid ◽  
Plfa Analysis

Insights into the role of earthworms on the optimization of microbial community structure during vermicomposting of sewage sludge by PLFA analysis

2018 ◽  
Vol 79 ◽  
pp. 700-708 ◽  
Author(s):  
Chunhui Zhao ◽  
Yong Wang ◽  
Yue Wang ◽  
Feijie Wu ◽  
Jiageng Zhang ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Sewage Sludge ◽  
Microbial Community Structure ◽  
Plfa Analysis

scholarly journals Biochemical pathways of amino acids in soil: Assessment by position-specific labeling and 13C-PLFA analysis

2013 ◽  
Vol 67 ◽  
pp. 31-40 ◽  
Author(s):  
Carolin Apostel ◽  
Michaela Dippold ◽  
Bruno Glaser ◽  
Yakov Kuzyakov
Keyword(s):  
Amino Acids ◽  
Soil Assessment ◽  
Biochemical Pathways ◽  
Plfa Analysis
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