2014
DOI: 10.1016/s1001-0742(13)60542-2
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Adaptation of microbial communities to multiple stressors associated with litter decomposition of Pterocarya stenoptera

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Cited by 10 publications
(10 citation statements)
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“…We have therefore included multiple cases per study in the analysis, but assessed their effect on the results by sensitivity analyses. The study Pu et al (2014) contributed a large number of effect sizes to the laboratory dataset (23%) and thus its effect on the results was assessed by sensitivity analyses.…”
Section: Effect Sizementioning
confidence: 99%
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“…We have therefore included multiple cases per study in the analysis, but assessed their effect on the results by sensitivity analyses. The study Pu et al (2014) contributed a large number of effect sizes to the laboratory dataset (23%) and thus its effect on the results was assessed by sensitivity analyses.…”
Section: Effect Sizementioning
confidence: 99%
“…When the analyses were done excluding the study by Pu et al (2014), which alone contributed 23% of effect sizes to the laboratory dataset, the grand mean effect size was e0.554 (95% CL ¼ À0.678 and À0.430; Table S5) and there was no longer difference between the effects on litter decomposition in lab and field studies (Q B ¼ 0.806, df ¼ 1, p ¼ 0.369; Table S5). In laboratory studies, litter decomposition was significantly inhibited only by Ag and Zn contamination, although no significant effect of metal identity was found (Q B ¼ 2.500, df ¼ 4, p ¼ 0.645; Table S5).…”
Section: Sensitivity Analysesmentioning
confidence: 99%
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“…Most studies on microbial resistance to toxic metals do not specify whether the tolerance of microorganisms is due to physiological acclimation (during exposure to the metals), or due to adaptation involving a genetically‐based resistance . Adaptation and acclimation of microorganisms to heavy metals have recently been investigated by various researchers indicating the important focus of this research.…”
Section: Introductionmentioning
confidence: 99%
“…Investigation of the dynamics of the microbial community diversity in mixed cultures provides new insights to understand the community-level adaptations, that could help controlling the process stability (Tolvanen et al, 2011;Cabrol and Malhautier 2011;Pu et al, 2014). Despite some well-known methodological biases (e.g., preferential amplification, co-migration of different species, multiple copies of the targeted gene with different sequences) (Muyzer and Smalla;1998), fingerprinting techniques such as polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) and PCR-single-strand conformation polymorphism (SSCP) are useful to rapidly evidence changes in community structure of dominant species associated with operating and/or functional changes in hydrogen-producing reactors (Tolvenen et al, 2011;Rafrafi et al 2013).…”
Section: Introductionmentioning
confidence: 99%