Inhibition of anaerobic digestion processes: Applications of molecular tools

被引:97
作者
Amha, Yamrot M. [1 ]
Anwar, Muhammad Zohaib [2 ,3 ]
Brower, Andrew [4 ]
Jacobsen, Carsten S. [2 ,3 ]
Stadler, Lauren B. [4 ]
Webster, Tara M. [5 ]
Smith, Adam L. [1 ]
机构
[1] Univ Southern Calif, Astani Dept Civil & Environm Engn, 3620 South Vermont Ave, Los Angeles, CA 90089 USA
[2] mBioInform ApS, Ole Maaloes Vej 3, DK-2200 Copenhagen N, Denmark
[3] Aarhus Univ, Dept Environm Sci, Frederiksborgvej 399, DK-4000 Roskilde, Denmark
[4] Rice Univ, Dept Civil & Environm Engn, 6100 Main St, Houston, TX 77005 USA
[5] Cornell Univ, Soil & Crop Sci Sect, 306 Tower Rd, Ithaca, NY 14853 USA
基金
美国国家科学基金会;
关键词
Next generation sequencing; 16S rRNA; Functional genes; Omics; Real-time monitoring; INTERSPECIES ELECTRON-TRANSFER; MICROBIAL COMMUNITY STRUCTURE; BACTERIAL CANDIDATE DIVISION; GREEN FLUORESCENT PROTEIN; WASTE-WATER TREATMENT; VOLATILE FATTY-ACIDS; RIBOSOMAL-RNA; BIOGAS PRODUCTION; METHANE PRODUCTION; CO-DIGESTION;
D O I
10.1016/j.biortech.2017.08.210
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Inhibition of anaerobic digestion (AD) due to perturbation caused by substrate composition and/or operating conditions can significantly reduce performance. Such perturbations could be limited by elucidating microbial community response to inhibitors and devising strategies to increase community resilience. To this end, advanced molecular methods are increasingly being applied to study the AD microbiome, a diverse community of microbial populations with complex interactions. This literature review of AD inhibition studies indicates that inhibitory concentrations are highly variable, likely stemming from differences in community structure or activity profile and previous exposure to inhibitors. More recent molecular methods such as 'omics' tools, substrate mapping, and real-time sequencing are helping to unravel the complexity of AD inhibition by elucidating physiological and ecological significance of key microbial populations. The AD community must strive towards developing predictive abilities to avoid system failure (e.g., real-time tracking of an indicator species) to improve resilience of AD systems.
引用
收藏
页码:999 / 1014
页数:16
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