## 3 Results
### Genetic Diversity of Autochthonic Bacteria Inhibiting Soil Contaminated with Car Fuels  
The variability in the microbial preferences for utilization of the various carbon sources was confirmed by the differences in the microbial structure in the studied soil. Changes in the microbial community following contamination with petrol and diesel as well as in the uncontaminated (control) soils were monitored in the PCR reaction using the 16S rRNA gene (Figure 3). In each case, 545-bp PCR products were obtained. The differences in the microbial community response depending on the contaminant type (petrol or diesel) are presented in Table 2.  
_Mollic Gleysol_ uncontaminated with the car fuels was inhabited by bacterial representatives of the genera _Microoccus_, _Lysinobacterium_, and _Bacillus_. In the presence of unleaded 95-octane petrol, the following genera of indigenous bacteria were identified: _Rhodococcus_, _Bacillus_, and _Microbacterium_. At the same time, the soil contaminated with diesel were characterized by higher biodiversity than those treated with petrol, and the presence of _Rhodococcus_, _Arthobacter_, _Paenibacillus_, and _Pseudomonas_ representatives was confirmed. The variability of autochthonic microflora in the control (uncontaminated) and after treatments with car fuels (petrol and diesel) is summarized in Table 3.  
_Appl. Sci._**2018**, \(8\), 1970 \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Sample ID** & **Bacterial Genera** & **Isolate Name in GenBank Database** & **Similarity (\%)** & **Accession Number** \\ \hline \multirow{8}{*}{**CONTROL**} & _Microococcus_ & _Microococcus_ sp. _CNJ719 PL04_ & 97 & DQ448712 \\  & & _Microococcus_ sp. _76A3b_ & 97 & KJ744024 \\  & & _Lysinobacterium fusiformis_ & 99 & KY515463 \\  & _Lysinobacterium_ & _Lysinobacterium_ sp. _errichment culture_ & 99 & JY992646 \\  & & _Lysinobacterium_ & 99 & KY673682 \\  & & _Bacillus cereus_ & 99 & JN411317 \\  & _Bacillus_ & _Bacillus thuringiensis_ & 98 & KY368122 \\  & & _Bacillus tovonensis_ & 98 & KY352881 \\ \hline \multirow{8}{*}{**PETROL**} & _Rhodococcus_ & _Rhodococcus_ sp. _A35_ & 98 & KM670434 \\  & & _Rhodococcus_ & 97 & AB828263 \\  & & _Bacillus anthracis_ & 97 & KJ721202 \\  & & _Bacillus myocytes_ & 97 & KU877669 \\  & _Bacillus safensis_ & 99 & KY400282 \\  & & _Bacillus pumilus_ & 99 & DQ837545 \\  & _Microbacterium_ & _Microbacterium_ sp. _IP5_ & 98 & GU726546 \\  & _Microbacterium_ & _Microbacterium oxydans_ & 97 & LN890176 \\ \hline \multirow{8}{*}{**DIESEL**} & _Rhodococcus_ & _Rhodococcus_ & _Rhodococcus_ _erythropalis strain HS9_ & 98 & AY168587 \\  & & _Rhodococcus_ sp. _DSD51Y_ & 98 & AB847903 \\  & & _Arthobacter_ sp. _E33-54_ & 99 & AB496410 \\  & _Arthrobacter_ & _Arthrobacter h huncicola_ & 99 & NR041546 \\  & & _Arthrobacter oxydans_ & 99 & KP235208 \\  & & _Paenibacillus_ sp. _4-21_ & 98 & HM537156 \\  & _Paenibacillus_ & _Bacillus_ sp. _DB87_ & 98 & HM566967 \\  & & _Paenibacillus xylanexedens_ & 98 & KX156222 \\  & & _Paenibacillus pbuuli_ & 98 & JX293322 \\  & & _Pseudomonas_ sp. & 99 & KR673340 \\  & _Pseudomonas_ & _Pseudomonas thiveralensis_ & 99 & KY457754 \\  & & _Pseudomonas fluorescens_ & 99 & KT223372 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Identification of isolates based on 16S rDNA sequencing data. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Bacterial Genera** & **Control** & **Unleaded 95-Octane Petrol** & **Diesel** \\ \hline \multirow{4}{*}{_Microococcus_} & + & \(-\) & \(-\) \\  & _Lysinobacterium_ & + & \(-\) & \(-\) \\ \multirow{2}{*}{_Bacillus_} & + & \(+\) & \(-\) \\  & _Rhodococcus_ & \(-\) & \(+\) & \(+\) \\ \multirow{2}{*}{_Microbacterium_} & \(-\) & \(+\) & \(-\) \\  & _Arthobacter_ & \(-\) & \(-\) & \(+\) \\ \multirow{2}{*}{_Arthobacter_} & \(-\) & \(-\) & \(+\) \\ \multirow{2}{*}{_Paenibacillus_} & \(-\) & \(-\) & \(+\) \\  & _Pseudomonas_ & \(-\) & \(-\) & \(+\) \\ \hline \hline \end{tabular}
\end{table}