All these isolates were found to survive in presence of heavy metals like cadmium , lead and zinc and were resistant to antibiotics like ampicillin , tetracycline , streptomycin , penicillin and chloramphenicol as indicated by their Minimum Inhibitory Concentrations ( MIC ) .
Identification and Characterization of the microbial communities found in electronic industrial effluent and their potential for bioremediation. Microbial communities are dynamic systems that develop depending on the ecological niche in which they survive. Electronic industry effluent, rich in heavy metals and salts is one such ecosystem where diverse heavy metal resistant microbes exist. Taxonomic identification of this microbial community would be interesting as no information on the microbial diversity from electronic industry effluent is available till date. Our paper attempts to characterize the microbial inhabitants of this niche. Culture dependent microbiological methods were used to establish and identify various microbial species from the effluent. Culture independent methods of identification involving biochemical tests and molecular biology based methods like 16 S- r DNA sequencing and lipid analyses (FAME analysis) were also carried out to confirm the identity of isolated species. Our study, first of its kind revealed the presence of a diverse group of resistant aerobic microbes and disclosed a total of ten bacterial and two fungal isolates. All these isolates were found to survive in presence of heavy metals like cadmium , lead and zinc and were resistant to antibiotics like ampicillin , tetracycline , streptomycin , penicillin and chloramphenicol as indicated by their Minimum Inhibitory Concentrations ( MIC ) . Such resistant isolates harbor possibilities of metal adaptive/selective pathways which render them as economically beneficial bio-sorbent alternatives in bioremediation of heavy metals.
### Instruction:
            Given the context about compound efficacy for the given treatment mentioned within the input, mentioned the compounds 
            that can co-occur for the mentioned treatment

            ### Input:
            Identification and Characterization of the microbial communities found in electronic industrial effluent and their potential for bioremediation. Microbial communities are dynamic systems that develop depending on the ecological niche in which they survive. Electronic industry effluent, rich in heavy metals and salts is one such ecosystem where diverse heavy metal resistant microbes exist. Taxonomic identification of this microbial community would be interesting as no information on the microbial diversity from electronic industry effluent is available till date. Our paper attempts to characterize the microbial inhabitants of this niche. Culture dependent microbiological methods were used to establish and identify various microbial species from the effluent. Culture independent methods of identification involving biochemical tests and molecular biology based methods like 16 S- r DNA sequencing and lipid analyses (FAME analysis) were also carried out to confirm the identity of isolated species. Our study, first of its kind revealed the presence of a diverse group of resistant aerobic microbes and disclosed a total of ten bacterial and two fungal isolates. All these isolates were found to survive in presence of heavy metals like cadmium , lead and zinc and were resistant to antibiotics like ampicillin , tetracycline , streptomycin , penicillin and chloramphenicol as indicated by their Minimum Inhibitory Concentrations ( MIC ) . Such resistant isolates harbor possibilities of metal adaptive/selective pathways which render them as economically beneficial bio-sorbent alternatives in bioremediation of heavy metals.

            ### Response:
            ampicillin, tetracycline, streptomycin, chloramphenicol
            