## 3 Results and Discussion
### Molecular Identification of Isolated Strains  
The FASTA formats were analyzed using the database of BLASTn software. The identification was based on the score, the percentage of identity, and Query covers, which must be greater than 96%, thus identifying these isolates as: _Streptomyces cellulose, Acrhomobacter xylosoxidans_, and _Serratia liquefaciens_ for S1, S2, and S3, respectively (similarity more than 98%). Briefly, a sequence from these strains was submitted to GenBank with their accession numbers KC429648, JX050258, and CP033893, respectively, for _Streptomyces cellulose, Acrhomobacter xylosoxidans_, and _Serratia liquefaciens_. Based on the 16S RNA gene sequence of the strains isolated, three neighbor-joining trees were formed during this investigation and some other phylogenetically related taxa (Figure 3). These phylogenetic trees indicated that S1, S2, and S3 were closely related to _Streptomyces cellulose, Acrhomobacter xylosoxidans_, and _Serratia liquefaciens_, respectively, thus revealing that the strains isolated were identified as _Streptomyces cellulose, Acrhomobacter xylosoxidans_, and _Serratia liquefaciens_, respectively. \begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**C/N**} & \multicolumn{4}{c}{**[4K]**} & \multicolumn{4}{c}{**[6K]**} & \multicolumn{4}{c}{**[8K]**} & \multicolumn{4}{c}{**Negative**} \\ \cline{2-13}  & **Week (0)** & **Weeks (0)** & **Weeks (0)** & **Weeks (12)** & **Week (0)** & **Weeks (0)** & **Weeks (10)** & **Weeks (12)** & **Week (0)** & **Weeks (10)** & **Weeks (10)** & **Weeks (12)** & **Test** \\ \hline S1 & 36.97 & 31.63 & 29.61 & 23.36 & 45.33 & 34.67 & 24.95 & 22.00 & 44.34 & 29.10 & 24.50 & 20.00 & 65.80 \\ S2 & 65.48 & 35.20 & 26.15 & 22.97 & 52.93 & 29.08 & 24.08 & 21.56 & 48.62 & 25.23 & 21.50 & 19.87 & 65.80 \\ S3 & 47.16 & 36.57 & 29.35 & 23.43 & 41.95 & 29.20 & 23.36 & 21.27 & 45.65 & 24.31 & 20.61 & 19.30 & 65.80 \\ Conortium & 47.21 & 39.06 & 29.08 & 18.69 & 45.29 & 31.96 & 24.31 & 15.70 & 43.91 & 26.12 & 19.83 & 13.36 & 65.80 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Evolution of TOC degradation of the three isolated strains (S1: Strain 1; S2: Strain 2; S3: Strain 3) and their consortium as function of the time at different inoculum doses (%, %, and %). \begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**TOC\%**} & \multicolumn{4}{c}{**[4K]**} & \multicolumn{4}{c}{**[6K]**} & \multicolumn{4}{c}{**[8K]**} & \multicolumn{4}{c}{**Negative**} \\ \cline{2-13}  & **Week (0)** & **Weeks (0)** & **Weeks (0)** & **Weeks (12)** & **Week (0)** & **Weeks (10)** & **Weeks (12)** & **Week (0)** & **Weeks (10)** & **Weeks (12)** & **Test** \\ \hline S1 & 32.90 \(\pm\) 0.44 & 31. Several authors reveal the effects of bio augmentation on the composting process using a wide range of microorganisms as well as different types of solid waste [5, 7, 11]. Regarding the literature, it was demonstrated that species belonging to _Streptomyces_, _Achromobacter_, and _Serratia_ are able to use a wide range of organic matter, particularly in ligno-cellulosic compounds, as a fountainhead of carbon and energy and consequently use it for their growth [25]. Several authors revealed that _Streptomyces cellulose_ was studied among  
Figure 3: Neighbor-joining phylogenetic tree based on the 16S rRNA gene sequence of the isolates and other reference sequences ((**a**) S1, (**b**) S2, and (**c**) S3) (Numbers in figures show branch lengths). potential microorganisms in nitrogen biodegradation systems using their enzymatic complex [26; 27], which is in concordance with the results obtained by _Streptomyces cellulose_ mentioned overhead regarding TKN. Additionally, [PERSON], et al. [28] identified species belonging to _Achromobacter_ genera as cellulolytic strains with high ability of polysaccharides decomposous decaying, especially those in paper waste, which is owing to its enzymatic system of mainly carbohydrate hydrolases, endoglucanase, and endoxylanase [29].