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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