Metagenomic analysis on thermophilic biogas reactors fed with high load of Long Chain Fatty Acids (LCFA)

Xinyu Zhu, Davide De Francisci, Laura Treu, Panagiotis Kougias, S. Campanaro, Irini Angelidaki

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Abstract

In anaerobic digestion systems, the accumulation of long chain fatty acids (LCFA) leads to process instability and decrease of the methane production. This detrimental condition is known to be reversible depending on the concentration of the accumulated LCFAs and mainly on the microbial consortium populating the biogas reactors. Therefore, the understanding of how the microbial communities change in response to LCFA pulses is essential to optimize the overall process. In this study two lab-scale continuously stirred reactors were used to characterize, via 16s rRNA gene analysis, the microbial shifts due to LCFA increase in the feedstock composition. The result shows that the addition of sodium oleate caused a reversible inhibition of reactor. The correlation between the microbial community’s profile and the reactors performance indicated that Syntrophomonas was the genus most likely involved in sodium oleate degradation. Other genera that were found abundant are Pseudomonas, Clostridium XI and Clostridium III. The relative abundance of these genera was not significantly affected by the addition of sodium oleate, and this indicates that they are probably involved in later steps of degradation. Methanoculleus was the main methanogen that was found in the reactors and its relative abundance was also not significantly affected by the addition of sodium oleate. This indicates that the main methanogenic pathway was not shifted with the addition of sodium oleate.
Original languageEnglish
Publication date2015
Number of pages4
Publication statusPublished - 2015
Event14th World Congress on Anaerobic Digestion - Viña del Mar, Chile
Duration: 15 Nov 201518 Nov 2015

Conference

Conference14th World Congress on Anaerobic Digestion
CountryChile
City Viña del Mar
Period15/11/201518/11/2015

Keywords

  • Anaerobic digestion
  • 16s rRNA gene
  • LCFA
  • Metagenomic analysis

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