Changes in microbial community structure and function following Sphagnum peatland restoration

Andersen, Roxane; Grasset, Laurent; Thormann, Markus N.; Rochefort, Line; Francez, André-Jean

doi:10.1016/j.soilbio.2009.11.006

Cited by 94 publications

(46 citation statements)

References 44 publications

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“…Phospholipid-fatty acids (PLFAs) were extracted on freeze-dried peat samples using the method of Bligh and Dyer (1959), modified for peat (Andersen et al, 2010). Peat samples (250 mg) were shaken for 2 h in a phosphate-buffer (0.1 M; pH 7):CHCl 3 :MeOH (0.9:1:2 v/v/v) solution and the supernatant was then transferred to a phosphate buffer/chloroform solution.…”

Section: Structure Of Microbial Communities -Plfasmentioning

confidence: 99%

Experimental warming differentially affects microbial structure and activity in two contrasted moisture sites in a Sphagnum-dominated peatland

Delarue

Buttler

Bragazza

et al. 2015

Science of The Total Environment

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• Open-Top Chambers were used to raise air temperature by up to 1°C in a peatland.• Interaction between peat temperature and moisture content was investigated.• Impact on peat decomposition was assessed by combining various microbial proxies.• The effect of air warming occurred when comparing distinct moisture sites.• We describe a change in microbial structure and enzymatic activities. a b s t r a c t a r t i c l e i n f o Several studies on the impact of climate warming have indicated that peat decomposition/mineralization will be enhanced. Most of these studies deal with the impact of experimental warming during summer when prevalent abiotic conditions are favorable to decomposition. Here, we investigated the effect of experimental air warming by open-top chambers (OTCs) on water-extractable organic matter (WEOM), microbial biomasses and enzymatic activities in two contrasted moisture sites named Bog and Fen sites, the latter considered as the wetter ones. While no or few changes in peat temperature and water content appeared under the overall effect of OTCs, we observed that air warming smoothed water content differences and led to a decrease in mean peat temperature at the warmed Bog sites. This thermal discrepancy between the two sites led to contrasting changes in microbial structure and activities: a rise in hydrolytic activity at the warmed Bog sites and a relative enhancement of bacterial biomass at the warmed Fen sites. These features were not associated with any change in WEOM properties namely carbon and sugar contents and aromaticity, suggesting that air warming did not trigger any shift in OM decomposition. Using various tools, we show that the use of single indicators of OM decomposition can lead to fallacious conclusions. Lastly, these patterns may change seasonally as a consequence of complex interactions between groundwater level and air warming, suggesting the need to improve our knowledge using a high time-resolution approach.

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Section: Structure Of Microbial Communities -Plfasmentioning

confidence: 99%

Experimental warming differentially affects microbial structure and activity in two contrasted moisture sites in a Sphagnum-dominated peatland

Delarue

Buttler

Bragazza

et al. 2015

Science of The Total Environment

Self Cite

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“…Zhao (2011) inferred that soil microbial community compositions were different in different plant diversity wetlands. Nevertheless, other studies reported that plant communities, waste composition and soil nutrients did not affect the compositionof soil microbial communities (Tscherko, 2005;Andersen, 2010). Hence, the underlying causes for variation of soil microbial community composition can becomplex and would require more research to be explained.…”

Section: Discussionmentioning

confidence: 96%

Differences in the Microbial Population Associated With Three Wetland Types in the Sanjiang Plain, Northeast China

Sui¹

2017

Appl Ecol Env Res

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Abstract. The Sanjiang Plain is the largest freshwater wetland area in Northeast China and plays an important role in regulating climate stability for this region. However, agricultural activity has decreased wetland coverage with about 84 % since the1950s.This has resulted in lowered water tables and degraded wetlands, with dryer marsh meadows and dry meadow coverage replacing wet marshlands. Here, we report investigations towards the soil microbial community composition and diversity in the different degeneration wetlands types. Bacterial and fungal communities in the soil types were compared using high resolution bar-coded pyrosequencing technology. The results revealed that the bacterial and fungal diversity was lower in wet marshland than in drier marsh meadow and dry meadows.The distribution of sequence reads into different bacterial and fungal phyla further differed between the soil samples. The wet marsh soil displayed a higher abundance of Proteobacteria but lower abundance of Acidobacteria, while the higher abundance of unclassified fungi but smaller fractions of Ascomycota and Basidiomycota than the other soil types.The results reported here demonstrate that soil bacterial and fungal communities change as a result of differences in the soil environment in the Sanjiang Plain.

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“…It estimates differences among treatments on a collection of RVs over time and the extent to which the response of those individual RVs resembles the overall response. PRC has been widely applied in aquatic ecology and ecotoxicology (e.g., Hartgers et al 1998;Cuppen et al 2000;Roessink et al 2006;Duarte et al 2008;Verdonschot et al 2015), terrestrial ecology and ecotoxicology (e.g., Heegaard and Vandvik 2004;Pakeman 2004;Britton and Fisher 2007;Moser et al 2007), microbiology (e.g., Andersen et al 2010;Fuentes et al 2014) and soil science (e.g., Kohler et al 2006;Cardoso et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Response variable selection in principal response curves using permutation testing

2016

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Principal response curves analysis (PRC) is widely applied to experimental multivariate longitudinal data for the study of time-dependent treatment effects on the multiple outcomes or response variables (RVs). Often, not all of the RVs included in such a study are affected by the treatment and RV-selection can be used to identify those RVs and so give a better estimate of the principal response. We propose four backward selection approaches, based on permutation testing, that differ in whether coefficient size is used or not in ranking the RVs. These methods are expected to give a more robust result than the use of a straightforward cut-off value for coefficient size. Performance of all methods is demonstrated in a simulation study using realistic data. The permutation testing approach that uses information on coefficient size of RVs speeds up the algorithm without affecting its performance.This most successful permutation testing approach removes roughly 95 % of the RVs that are unaffected by the treatment irrespective of the characteristics of the data set and, in the simulations, correctly identifies up to 97 % of RVs affected by the treatment.

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Changes in microbial community structure and function following Sphagnum peatland restoration

Cited by 94 publications

References 44 publications

Experimental warming differentially affects microbial structure and activity in two contrasted moisture sites in a Sphagnum-dominated peatland

Experimental warming differentially affects microbial structure and activity in two contrasted moisture sites in a Sphagnum-dominated peatland

Differences in the Microbial Population Associated With Three Wetland Types in the Sanjiang Plain, Northeast China

Response variable selection in principal response curves using permutation testing

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