Operation-driven heterogeneity and overlooked feed-associated populations in global anaerobic digester microbiome
Ran Mei (University of Illinois at Urbana Champaign)
Masaru K. Nobu (University of Illinois at Urbana Champaign, National Institute of Advanced Industrial Science and Technology (AIST))
Takashi Narihiro (National Institute of Advanced Industrial Science and Technology (AIST))
Kyohei Kuroda (Nagaoka University of Technology, University of Illinois at Urbana Champaign)
Julian Munoz Sierra (TU Delft - Sanitary Engineering)
Zhuoying Wu (The Hong Kong Polytechnic University)
Lin Ye (Nanjing University)
Patrick K.H. Lee (City University of Hong Kong)
Po Heng Lee (The Hong Kong Polytechnic University)
Jules B. Van Lier (TU Delft - Sanitary Engineering)
Michael J. McInerney (University of Oklahoma)
Yoichi Kamagata (National Institute of Advanced Industrial Science and Technology (AIST))
Wentso Liu (University of Illinois at Urbana Champaign)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Anaerobic digester (AD) microbiomes harbor complex, interacting microbial populations to achieve biomass reduction and biogas production, however how they are influenced by operating conditions and feed sludge microorganisms remain unclear. These were addressed by analyzing the microbial communities of 90 full-scale digesters at 51 municipal wastewater treatment plants from five countries. Heterogeneity detected in community structures suggested that no single AD microbiome could be defined. Instead, the AD microbiomes were classified into eight clusters driven by operating conditions (e.g., pretreatment, temperature range, and salinity), whereas geographic location of the digesters did not have significant impacts. Comparing digesters populations with those present in the corresponding feed sludge led to the identification of a hitherto overlooked feed-associated microbial group (i.e., the residue populations). They accounted for up to 21.4% of total sequences in ADs operated at low temperature, presumably due to ineffective digestion, and as low as 0.8% in ADs with pretreatment. Within each cluster, a core microbiome was defined, including methanogens, syntrophic metabolizers, fermenters, and the newly described residue populations. Our work provides insights into the key factors shaping full-scale AD microbiomes in a global scale, and draws attentions to the overlooked residue populations.