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Population structures shift during the biodegradation of crude and fuel oil by an indigenous consortium.
- Source :
- International Journal of Environmental Science & Technology (IJEST); Jan2018, Vol. 15 Issue 1, p1-16, 16p
- Publication Year :
- 2018
-
Abstract
- Petroleum and fuel oil are complex mixtures of recalcitrant hydrocarbons. The biodegradation of these hydrocarbons needs the action of a vast variety of enzymatic capacities. A microbial consortium offers the capability to degrade complex substrates through the assembly of different biochemical reactions, providing a metabolic versatility superior to axenic cultures. In this work, the microbial population dynamics, taxonomy, and the catabolic capacity of a stabilized consortium exposed to fuel and crude oil was analyzed through metagenomics. The stabilized consortium degraded 59% of crude oil components after 8 days, and 34% of fuel oil components after 130 days. Population dynamics analysis indicates that in fuel oil the biodiversity richness was higher; however, denaturing gradient gel electrophoresis similarity dendrogram shows significant changes in the microbial population during crude oil degradation. Taxonomy studies indicate a great genera divergence; only eight microbial genera were common in both samples. In crude oil, the Limnobacter sp. was the most abundant specie (15.6%), while Sphingomonas wittichii (7.9%) and Novosphingobium aromaticivorans (7.6%) were abundant in fuel oil. These microorganisms have been reported to participate in the degradation of aliphatic and aromatic hydrocarbons. Functional analysis suggests that fuel and crude oil components changed the interactions between the consortium members affecting the collective metabolic functionality. [ABSTRACT FROM AUTHOR]
- Subjects :
- BIODEGRADATION
PETROLEUM as fuel
HYDROCARBONS
METAGENOMICS
SPHINGOMONAS
Subjects
Details
- Language :
- English
- ISSN :
- 17351472
- Volume :
- 15
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- International Journal of Environmental Science & Technology (IJEST)
- Publication Type :
- Academic Journal
- Accession number :
- 127040929
- Full Text :
- https://doi.org/10.1007/s13762-017-1362-7