2014
DOI: 10.1007/s00253-014-5906-1
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Microbial community composition and dynamics in high-temperature biogas reactors using industrial bioethanol waste as substrate

Abstract: Stillage, which is generated during bioethanol production, constitutes a promising substrate for biogas production within the scope of an integrated biorefinery concept. In this study, a microbial community was grown on thin stillage as mono-substrate in a continuous stirred tank reactor (CSTR) at a constant temperature of 55 °C, at an organic loading rate of 1.5 goTS/L*d and a retention time of 25 days. Using an amplicon-based dataset of 17,400 high-quality sequences of 16S rRNA gene fragments (V2-V3 regions)… Show more

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Cited by 30 publications
(23 citation statements)
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“…bacteria associated with Lucilia spp. (Singh et al 2014), tobacco waste extract (Liu et al 2014a, b14), styrene-degrading biofilters (Portune et al 2014), activated sludge (Zhao et al 2014), high-temperature biogas reactors (Röske et al 2014), phyllosphere of rice (Ren et al 2014), river receiving effluents from swine farm and farmhouse restaurant (Lu and Lu 2014), endophytes of sugar beet (Shi et al 2014), petroleum reservoir , intestinal environment of rats , mine tailings (Liu et al 2014a, b), heavy metals polluted soil (Gołębiewski et al 2014), soil horizons and drain sediments of coastal acid sulfate landscape (Stroud et al 2014). The first 16S rRNA gene-based microbial analysis of mine-water systems was done in the mid-1990s (Goebel and Stackebrandt 1994).…”
Section: Introductionmentioning
confidence: 99%
“…bacteria associated with Lucilia spp. (Singh et al 2014), tobacco waste extract (Liu et al 2014a, b14), styrene-degrading biofilters (Portune et al 2014), activated sludge (Zhao et al 2014), high-temperature biogas reactors (Röske et al 2014), phyllosphere of rice (Ren et al 2014), river receiving effluents from swine farm and farmhouse restaurant (Lu and Lu 2014), endophytes of sugar beet (Shi et al 2014), petroleum reservoir , intestinal environment of rats , mine tailings (Liu et al 2014a, b), heavy metals polluted soil (Gołębiewski et al 2014), soil horizons and drain sediments of coastal acid sulfate landscape (Stroud et al 2014). The first 16S rRNA gene-based microbial analysis of mine-water systems was done in the mid-1990s (Goebel and Stackebrandt 1994).…”
Section: Introductionmentioning
confidence: 99%
“…. Interestingly, and based on DGGE analysis, the original digested sludge showed much higher microbial diversity than the consortium developed on thin stillage as mono‐substrate . The ammonia concentration decreased from 2.0 g/L to 0.4 g/L, while the pH value decreased from 8.0 to 7.4.…”
Section: Resultsmentioning
confidence: 98%
“…As previously described by Röske et al. , DGGE analyses were performed using total reactor DNA as templates. In brief, 16 S rRNA‐encoding gene fragments from Bacteria were amplified by using the specific oligonucleotides GM5for_GC (5′‐ CCTACGGGAGGCAGCAG‐3′) and 907rm (5′‐CCGTCAATTCMTTTGAGTTT‐3′) as published by Muyzer et al.…”
Section: Methodsmentioning
confidence: 99%
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