Table 2.
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 |
*ND Not Determined