Before proceeding to actual experiment using environmental sample, the cChip was optimized to check if bacteria were able to grow in the chip or not. We call this stage as pre-experiment. Results are described as under.
Pre-experiment:
In this experiment, known bacteria, that is, E. coli (log phase) was inoculated in the holes of the cChip at a concentration of 10 µL and the chips were kept in nutrient broth. After 24 h of incubation at 37°C the growth of E. coli in the holes of chip was visible. This experiment resulted in the successful optimization of the parameters required for successful growth of a bacteria in aquatic environment.
Later a mixed solution of log phase E. coli (that has cream color growth) and log phase Rhodococcus sp. (that has red color growth) were inoculated in the holes of the cChip and it was incubated in nutrient broth. Successful appearance of cream and red color colonies in the holes of the cChip concluded that its design was optimized successfully for the growth and isolation of more than one type of bacteria from aquatic environment.
Field Experiment:
A freshwater lake was selected to carry out the field experiment. Water samples were analyzed for exploring microbial diversity using three methods. Metagenomics analysis of the samples was performed to explore the molecular evidence of the presence of microbial biodiversity. Traditional culturing method was used to culture the samples on four different media to explore the culturable bacterial diversity of the samples. Finally, inoculation in the cChip was done and it was incubated in the simulated lake water environment to check if it could facilitate the growth of unculturable bacteria from the lake water. As a result, a comparison of three methods in achieving successful cultivation of uncultivable bacteria from the aquatic environment was drawn.
Metagenomics Analysis:
Results of metagenomics analysis showed that microorganisms from at least five different bacterial phyla were present in the samples. The raw data from the triplicate samples (M1, M2 and M3) has been submitted to the NCBI SRA database under the accession numbers (SRR12044250, SRR12044251, SRR12044252). Total 832 microbial species were present in the lake water filtrate that included microbes belonging to at least five phyla, that is, Cyanobacteria, Proteobacteria, Actinobacteria, Bacteroidetes, Verrucomicrobia. A total of 198 bacterial genera were present according to molecular analysis. It was observed that in the triplicate samples tested for the presence of microbes metagenomically, Cyanobacteria were present in the highest abundance, followed by Proteobacteria, Actinobacteria, Bacteroidetes and Verrucomicrobia.
Traditional Culturing:
The samples were cultured after performing 10 folds (-1) serial dilution on four culture media, that is, FW70, R2A agar, LB media and Nutrient agar. Total 36 isolates belonging to four different phyla were successfully cultured on these four media. 9 isolates were obtained from culturing on FW70 media, 13 isolates from nutrient agar, 6 isolates each from culturing on R2A agar and LB media. Interestingly bacteria belonging to Firmicutes were obtained using traditional culturing, however, those were not obtained using metagenomics analysis. Similarly, metagenomics showed representatives of Verrucomicrobia that were not obtained by traditional culturing. In total, three novel bacterial species were obtained using traditional method (all from culturing on FW70 media). As these species were obtained from cChip as well so these will be mentioned in the later section to avoid any repetition. In terms of the diversity of phyla obtained by using traditional culturing, Actinobacteria were the highest in number followed by Proteobacteria, Firmicutes and Bacteroidetes.
cChip Culturing:
Samples from the lake water were concentrated before inoculation. The retentate on filter paper was washed in 5 mL normal saline and vortexed thoroughly to obtain concentrated inoculum and 10 µL from this inoculum was inoculated in the holes of cChip. Then incubation of four and eight weeks was carried out in simulated lake water environment before further culturing on two laboratory media, FW70 and R2A agar. This process resulted in successful culturing of 154 bacterial isolates belonging to five different phyla. These were Proteobacteria, Actinobacteria, Bacteroidetes, Verrucomicrobia and Firmicutes. Interestingly, four of these phyla were shown in metagenomics analysis also, while one phylum, that is, Firmicutes was not shown in metagenomics analysis. Besides, representatives of this phylum were able to grow in traditional culturing method. Isolates obtained from cChip culturing belonged to 79 genera in terms of diversity, 21 genera from traditional culturing and 206 genera from metagenomics analysis. Venn diagram in figure 5 shows the number of individual and overlapping genera obtained from all the three methods. Relative abundance of the representative species belonging to different phyla obtained from cChip culturing was in the order, Proteobacteria ˃ Actinobacteria ˃ Firmicutes ˃ Bacteroidetes ˃ Verrucomicorbia. Figure 4 shows the relative abundance of microorganisms in terms of phyla obtained from three methods used in this study.
By using cChip culturing, 45 unculturable bacteria were successfully isolated that included one genus. A 16S rRNA gene sequence comparison showed that these isolates had a similarity index of 91.35% to 98.7% to their closest relatives according to the NCBI GenBank. 3 of the 45 isolates were also found using the traditional culturing that will be mentioned in the table 1 as under:
Table 1: Table shows the similarity index of 16S rRNA gene sequence of the isolated unculturable bacteria obtained using cChip culturing, (*) indicates the isolates that were also isolated using traditional culturing on FW70 media.
Name of Isolate
|
Closest Phylogenetic specie
|
16S rRNA gene similarity (%)
|
GenBank accession number of isolates
|
2R1
|
Chryseolinea soli
|
91.35
|
MT278126
|
2R2
|
Chryseolinea soli
|
91.86
|
MT278127
|
2R3
|
Chryseolinea soli
|
92.48
|
MT278128
|
2R19
|
Hymenobacter coalscenes
|
96.10
|
MT278137
|
2R38
|
Sphingomonas roseiflava
|
96.15
|
MT278151
|
2F41
|
Aureimonas galli
|
96.24
|
MT278120
|
4R8
|
Amaricoccus tamworthensis
|
96.25
|
MT278156
|
2R31
|
Rhizobium rosettiformans
|
96.48
|
MT278146
|
2R39
|
Tabrizicola aquatica
|
96.78
|
MT278152
|
4R9
|
Permianibacter aggregans
|
96.86
|
MT278157
|
4R10
|
Gemnicoccus roseus
|
96.89
|
MT278158
|
2R23
|
Microvirga aerophile
|
96.89
|
MT278139
|
2R26
|
Paracoccus marcussii
|
97.09
|
MT278142
|
2R32
|
Rhodobacter blasticus
|
97.16
|
MT278147
|
2F45*
|
Acidovorax radicis
|
97.30
|
MT278124
|
4R6
|
Ciceribacter thioxidans
|
97.37
|
MT278154
|
2F22
|
Mesorhizhobium hankyongi
|
97.60
|
MT278117
|
2R18
|
Hymenobacter persicinus
|
98.27
|
MT278136
|
2R17
|
Flavobacterium huanse
|
97.69
|
MT278135
|
2R15
|
Emticicia fontis
|
97.75
|
MT278133
|
2R13
|
Agrobacterium fabrum
|
97.77
|
MT278131
|
4F5
|
Dyadobacter sedimiensis
|
97.82
|
MT278153
|
2R36
|
Sphingomonas ginsengisoli
|
97.87
|
MT278150
|
2F42
|
Rhizobium nepotum
|
97.87
|
MT278121
|
2R16
|
Flavihumibacter sedimensis
|
97.91
|
MT278134
|
4R7
|
Rhizobium lemnae
|
97.91
|
MT278155
|
2R25*
|
Niveispirillum lacus
|
98.07
|
MT278141
|
2R34
|
Roseomonas frigidaquae
|
98.13
|
MT278148
|
2R21
|
Hymenobacter luteus
|
98.19
|
MT278138
|
2F44
|
Massilia timonae
|
98.22
|
MT278123
|
2R27
|
Paracoccus speluncae
|
98.27
|
MT278143
|
2F40
|
Brevundimonas bullata
|
98.28
|
MT278119
|
2R35
|
Sandaracinobacter sibiricus
|
98.36
|
MT278149
|
4R30
|
Rhizobium ipomoeae
|
98.37
|
MT278145
|
2R24
|
Mycolicibacterium madagascariense
|
98.49
|
MT278140
|
2F29
|
Phenylobacterium panacis
|
98.59
|
MT278118
|
4R33
|
Rhodococcus cercidiphylli
|
98.50
|
MT278159
|
2F43
|
Brevundimonas subvibrioides
|
98.50
|
MT278122
|
2R11
|
Methylorubrum aminovorans
|
98.53
|
MT278129
|
2R14
|
Arthrobacter pascens
|
98.35
|
MT278132
|
2F46
|
Flavobacterium succinicans
|
98.56
|
MT278125
|
4R37
|
Sphingomonas koreensis
|
98.61
|
MT278160
|
2R12
|
Actinokineospora mzabensis
|
98.63
|
MT278130
|
2R28
|
Pelomonas saccharophila
|
98.64
|
MT278144
|
2F4*
|
Gemmobacter aquatilis
|
98.65
|
MT278116
|
A phylogenetic tree for the above-mentioned isolates was constructed using Mega 7 which is shown below: