2016
DOI: 10.1016/j.watres.2016.07.072
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Long-term successional dynamics of microbial association networks in anaerobic digestion processes

Abstract: It is of great interest to elucidate underlying mechanisms to maintain stability of anaerobic digestion, an important process in waste treatment. By operating triplicate anaerobic digesters continuously for two years, we found that microbial community composition shifted over time despite stable process performance. Using an association network analysis to evaluate microbial interactions, we detected a clear successional pattern, which exhibited increasing modularity but decreasing connectivity among microbial… Show more

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Cited by 193 publications
(89 citation statements)
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References 42 publications
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“…Both networks fitted well with the power-law model, indicating their scale-free properties (Table 3). The average clustering coefficient (avgCC) and average path distance (GD) of both site networks were significantly different from corresponding randomized networks, which would be indicating their small-world behavior 31 . The average degree (avgK) in the network of submontane site M, a key topological property to describe how well a node is connected with the others, was higher (ca.…”
Section: Resultsmentioning
confidence: 87%
“…Both networks fitted well with the power-law model, indicating their scale-free properties (Table 3). The average clustering coefficient (avgCC) and average path distance (GD) of both site networks were significantly different from corresponding randomized networks, which would be indicating their small-world behavior 31 . The average degree (avgK) in the network of submontane site M, a key topological property to describe how well a node is connected with the others, was higher (ca.…”
Section: Resultsmentioning
confidence: 87%
“…Primers of PolF/PolR (5′‐TGCGAYCCSAARGCBGACTC‐3′/5′‐ATSGCCATCATYTCRCCGGA‐3′) were used for amplifying nifH genes (Poly, Monrozier, & Bally, ), and primers of 515F/806R (5′‐GTGCCAGCMGCCGCGGTAA‐3′/5′‐GGACTACHVGGGTWTCTAAT‐3′) were used for amplifying 16S rRNA genes (Caporaso et al, ). Two‐step PCR experiments were used to prepare amplicon libraries of both nifH genes and 16S rRNA genes as described previously (Wu et al, ). Specifically, 10 cycles were used in the first step and 20 cycles in the second step for 16S rRNA genes; 12 cycles were used in the first step and 23 cycles in the second step for nifH genes.…”
Section: Methodsmentioning
confidence: 99%
“…Similarity matrices were calculated based on Spearman rank correlation. Thresholds of networks were determined by a random matrix theory (RMT)-based algorithm, and modules were separated based on greedy modularity optimization [45]. Cytoscape 3.2.1 was used to depict the networks, showing nodes (individual prokaryotic OTUs or phages) linked by lines that denoted positive or negative correlations.…”
Section: Methodsmentioning
confidence: 99%