Comparative metagenomics demonstrating different degradative capacity of activated biomass treating hydrocarbon contaminated wastewater.
This study demonstrates the diverse degradative capacity of activated biomass, when exposed to different levels of total dissolved solids (TDS) using a comparative metagenomics approach. The biomass was collected at two time points to examine seasonal variations. Four metagenomes were sequenced on Illumina Miseq platform and analysed using MG-RAST. STAMP tool was used to analyse statistically significant differences amongst different attributes of metagenomes. Metabolic pathways related to degradation of aromatics via the central and peripheral pathways were found to be dominant in low TDS metagenome, while pathways corresponding to central carbohydrate metabolism, nitrogen, organic acids were predominant in high TDS sample. Seasonal variation was seen to affect catabolic gene abundance as well as diversity of the microbial community. Degradation of model compounds using activated sludge demonstrated efficient utilisation of single aromatic ring compounds in both samples but cyclic compounds were not efficiently utilised by biomass exposed to high TDS.
Environmental Genomics Division, National Environmental Engineering Research Institute, (CSIR-NEERI), Nehru Marg, Nagpur 440 020, India.
Trilok Chandra
TC
Yadav
Environmental Genomics Division, National Environmental Engineering Research Institute, (CSIR-NEERI), Nehru Marg, Nagpur 440 020, India.
Rajesh Ramavadh
RR
Pal
Environment Impact and Risk Assessment Division, CSIR-NEERI, India.
Sunita
S
Shastri
Environmental Genomics Division, National Environmental Engineering Research Institute, (CSIR-NEERI), Nehru Marg, Nagpur 440 020, India.
Niti B
NB
Jadeja
Environmental Genomics Division, National Environmental Engineering Research Institute, (CSIR-NEERI), Nehru Marg, Nagpur 440 020, India. Electronic address: a_kapley@neeri.res.in.
Atya
A
Kapley
D001105:Archaea / Q000145:classification / Q000378:metabolism; D001419:Bacteria / Q000145:classification / Q000378:metabolism; D018533:Biomass; D002241:Carbohydrates / Q000737:chemistry; D019295:Computational Biology; D005786:Gene Expression Regulation; D016678:Genome; D006838:Hydrocarbons / Q000032:analysis*; D054892:Metagenome; D056186:Metagenomics; D015233:Models, Statistical; D009584:Nitrogen / Q000737:chemistry; D010802:Phylogeny; D012621:Seasons; D017422:Sequence Analysis, DNA; D012722:Sewage / Q000382:microbiology; D013696:Temperature; D014865:Waste Disposal, Fluid; D062065:Wastewater / Q000737:chemistry*; D014874:Water Pollutants, Chemical / Q000032:analysis*; D018508:Water Purification / Q000379:methods*
D002241:Carbohydrates; D006838:Hydrocarbons; D009584:Nitrogen; D012722:Sewage; D062065:Wastewater; D014874:Water Pollutants, Chemical
Activated biomass; Comparative metagenomics; Metabolic pathways; Microbial diversity; Wastewater treatment plant