2016
DOI: 10.1016/j.biortech.2016.01.137
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Comparison of biogas sludge and raw crop material as source of hydrolytic cultures for anaerobic digestion

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Cited by 28 publications
(9 citation statements)
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“…have been shown to utilize cellulose, cellobiose, xylan, and xylose through the actions of hydrolytic enzymes (33). Furthermore, Ruminococcaceae is known to consist of a number of cellulolytic and amylolytic species that exclusively appear in the biomass-derived cultures of anaerobic digestion (43).…”
Section: Resultsmentioning
confidence: 99%
“…have been shown to utilize cellulose, cellobiose, xylan, and xylose through the actions of hydrolytic enzymes (33). Furthermore, Ruminococcaceae is known to consist of a number of cellulolytic and amylolytic species that exclusively appear in the biomass-derived cultures of anaerobic digestion (43).…”
Section: Resultsmentioning
confidence: 99%
“…strains were analyzed for the presence of these enzyme activities as well as the maximum expression and activity conditions. A secreted enzyme from the culture media of each strain was collected daily and tested for the two enzyme activities at a variety of temperatures (30-70 C) and pH (3)(4)(5)(6)(7). Table 2 shows the highest activity achieved for the expression and activity condition of each of the two enzymes.…”
Section: Isolation and Characterization Of Lignin-degrading Bacterialmentioning
confidence: 99%
“…Rice straw is composed primarily of carbohydrate (67%) and lignin (28%) . The high amounts of carbohydrate in RS can be utilized as a carbon source for microbial biogas production . However, the lignin serves as a barrier to prevent access to the carbohydrate fraction.…”
Section: Introductionmentioning
confidence: 99%
“…Bacterial community analysis and diversity assessment were performed on the retained sequences using the QIIME (v1.9.1) platform (Ju & Zhang, 2015). The procedure was as follows: (a) calibrating and aligning the high‐quality sequences with PyNAST (Awasthi et al., 2017); (b) using UCLASS to cluster the aligned sequences based on 100% similarity to establish a complete representative gene set of 16S rRNA; (c) clustering the aligned sequences based on 97% similarity by UCLASS to generate operational taxonomic units (OTUs) (Hou et al., 2016); (d) identifying and deleting chimeras in the constructed OTU matrix through ChimeraSlayer (Wei et al, 2016); (e) performing homology comparison among the representative reads with RDP, Greengenes, and SILVA databases, annotating taxonomic positions at the phylum, class, order, family and genus levels, and combining annotation results generated by different databases (Balvoiūt & Huson, 2017); (f) drawing phylogenetic tree based on OTU representative sequence with FastTree (Yu et al., 2017); (g) assessing bacterial abundance and diversity in each sample basing on α diversity indexes including the observed species, Shannon index, Chao1 index and Simpson index, evaluating whether the sequencing depth meets the requirements of subsequent bioinformatics analysis with Shannon Index Curve and exponential curve of observed species; (h) leveling all samples 1,000 times randomly based on the OTU matrix data according to the number of samples containing the minimum sequences to reduce error, combining the results obtained from the 1,000 replicates and doing β diversity analysis; (i) investigating inter‐sample β diversity by Principal Co‐ordinates Analysis (PCoA) based on UniFrac and cluster analysis by the Unweighted Pair‐Group Method with Arithmetic means (UPGMA).…”
Section: Methodsmentioning
confidence: 99%