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Table 2 The property comparison of PersiCel4 with some known endo-β-1,4-glucanase representatives

From: A novel high performance in-silico screened metagenome-derived alkali-thermostable endo-β-1,4-glucanase for lignocellulosic biomass hydrolysis in the harsh conditions

Name Source Optimum pH Optimum temperature Proposed Application References
nmGH45 saline-alkaline lake soil microbial metagenomic DNA 4.5 60–70 lignocellulosic biomass hydrolysis (Zhao et al., 2018) [20, 30]
CelG5 Phialophora sp. G5 4.5 55–60 brewing and feed industries (Zhao et al., 2012) [31]
KG35 metagenomic libraryof the black-goat rumen 6 … 7 30–50 ND* (Song et al., 2017) [21]
Cel5G metagenomic library from soil 4.8 50 industrial use (Liu et al., 2011) [32]
CS10 metagenome gut microflora of Hermetia illucens 7 50 industrial use (Lee et al., 2014) [33]
cel5A mangrove soil 6.5–7.5 50 ND* (Gao et al., 2010) [34]
Cel5H Dictyoglomus thermophilum 5 50–85 ND* (Shi et al., 2013) [35]
CelRH5 rhizosphere metagenomic library 6.5 40 ND* (Wierzbicka-Woś et al., 2019) [36]
Cel5R soil metagenome 5–6.5 58 ND* (Garg et al., 2016) [24]
cel7482, cel3623 and cel36 Metagenomic sequences 5.5 60–70 ND* (Yang et al., 2016) [25]
Cel6H-f481 compost metagenomic library 5.5 50 ND* (Lee et al., 2018) [37]
PersiCel4 Sheep rumen metagenome 8.5 85 lignocellulosic biomass hydrolysis This study
  1. *ND Not Determined