Changes in the soil microbial community structure with latitude in eastern China, based on phospholipid fatty acid analysis

Wu, Yuping; Ma, Bin; Zhou, Le; Wang, Haizhen; Xu, Jianming; Kemmitt, Sarah; Brookes, Philip C.

doi:10.1016/j.apsoil.2009.08.002

Cited by 113 publications

(54 citation statements)

References 33 publications

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“…1). This finding is in agreement with Wu et al (2009) that climatic variables were less important regulators of microbial biomass than soil parameters. Typically, a higher climatic temperature is expected to directly stimulate the microbial respiration (Melillo et al, 2002;Rinnan et al, 2007), but it could also potentially indirectly restrain the microbial activities, possibly via increasing evapotranspiration (Niu et al, 2008).…”

Section: Indirect Effect Of Mat On Microbial Biomasssupporting

confidence: 82%

Soil organic carbon and soil structure are driving microbial abundance and community composition across the arid and semi-arid grasslands in northern China

Hu¹,

Xiang²,

Veresoglou³

et al. 2014

Soil Biology and Biochemistry

172

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a b s t r a c tMicrobial biogeography through the study of the assembly rules of microbes has the potential to yield ecological information that is generalizable for a wide range of microorganisms. Here we performed a large-scale field investigation of the distribution patterns of microbes across the arid and semi-arid grassland ecosystems covering an area of 690,000 km 2 in northern China. Soil microbial abundance and community composition were examined through quantifying microbial phospholipid fatty acids (PLFAs) at fifty sampling sites along environmental gradients. A multi-model inference analysis identified soil organic carbon (SOC) as a key driving factor for microbial biomass and quantified its effect. Structural equation models (SEM) were further fitted to the data to provide a better mechanistic resolution of direct and indirect pathways that connected PLFAs and environmental variables. The SEM analysis also supported that SOC was the main positive predictor of microbial biomass, while MAT served as the main negative factor via an indirect pathway. To visualize complex relationships between microbial community and environmental variables we engaged in a redundancy analysis. The result showed that PLFA profiles could be largely explained by the soil variables including soil structure (PSD) and pH. Overall, our report through the analysis of an unprecedented amount of primary data yields unique insights into the relative importance of abiotic factors in shaping microbial communities at large scales.

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Section: Indirect Effect Of Mat On Microbial Biomasssupporting

confidence: 82%

Soil organic carbon and soil structure are driving microbial abundance and community composition across the arid and semi-arid grasslands in northern China

Hu¹,

Xiang²,

Veresoglou³

et al. 2014

Soil Biology and Biochemistry

172

View full text Add to dashboard Cite

show abstract

“…The highest diversity and evenness of FAs obtained in down-flow cells of IVCW treating DW probably resulted from the markedly greater easily biological available organic substance contained in the wastewater. Actually, available carbon source has been proven to be able to affect microbial community structure greatly (Marschner et al 2003;Wu et al 2009). …”

Section: Discussionmentioning

confidence: 99%

Comparative study of microbial community structure in integrated vertical-flow constructed wetlands for treatment of domestic and nitrified wastewaters

Chang

Liang

et al. 2014

Environ Sci Pollut Res

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Microbial processes play a vital important role in the removal of contaminants in constructed wetland (CW). However, the microbial physiology and community structure can be influenced by environmental conditions. In this study, four pilot-scale integrated vertical-flow constructed wetlands (IVCWs) were employed to treat domestic and nitrified wastewaters. The microbial properties, along with their response to wastewater quality characteristics and seasonal variation, were determined. The results showed higher Shannon-Weiner diversity (H) and evenness (E) index of fatty acids (FAs), and relative abundances of signature FAs in down-flow cells and in the systems fed with domestic wastewater (DW). The relative abundances of fungi and gram-negative and aerobic bacteria were greater in up-flow cells. The dominant anaerobic bacteria found in most cells might be accounted for the prevailing anaerobic environment within the wetland beds, which could mean that the system fed with nitrified wastewater (NW) should perform better in nitrogen removal. The redundancy analysis (RDA) showed that pollutant concentrations, especially organic matter, influence the FA compositions greatly, and the most significant difference of microbial community structures was detected in down-flow cells fed with DW and up-flow ones with NW. The branched FAs, which could be used to represent anaerobic bacteria, were observed in down-flow cells treating DW and had a significant positive correlation with chemical oxygen demand (COD) concentration, probably suggesting the important role of anaerobic bacteria in organic matter degradation in the IVCWs. Seasonal variation, however, did not greatly influence the microbial community structure in the IVCWs.

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“…The individual FAMEs, expressed as the mole percentage of the total, were log transformed [Log(x+ 1)] prior to analysis. The log transformation was also used to normalize the data to decrease the importance of minor differences within the FAME profile, as suggested by previous researchers (Langworthy et al, 2002;Wu et al, 2009;Zaady et al, 2010). At a first step, an unconstrained ordination technique, principal component analysis (PCA), was performed on a correlation matrix composed of the relative abundances of 25 fatty acids from 30 individual sediment samples, to explore the variability of the microbial EL-FAME composition.…”

Section: Discussionmentioning

confidence: 99%

Natural attenuation of contaminated marine sediments from an old floating dock Part II: Changes of sediment microbial community structure and its relationship with environmental variables

Wang

Tam

2012

Science of The Total Environment

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Changes in the soil microbial community structure with latitude in eastern China, based on phospholipid fatty acid analysis

Cited by 113 publications

References 33 publications

Soil organic carbon and soil structure are driving microbial abundance and community composition across the arid and semi-arid grasslands in northern China

Soil organic carbon and soil structure are driving microbial abundance and community composition across the arid and semi-arid grasslands in northern China

Comparative study of microbial community structure in integrated vertical-flow constructed wetlands for treatment of domestic and nitrified wastewaters

Natural attenuation of contaminated marine sediments from an old floating dock Part II: Changes of sediment microbial community structure and its relationship with environmental variables

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