Response and resilience of soil microbial communities inhabiting in edible oil stress/contamination from industrial estates. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Patel, Vrutika; Sharma, Anukriti; Lal, Rup; Al-Dhabi, Naif; Madamwar, Datta
• Is Part Of: BMC microbiology. Volume 16:Issue 1(2016)
• Page Start: 1
• Page End: 14
• Publication Date: 2016-12
• Subjects: Oil perturbation -- β-proteobacteria -- 16S rRNA gene -- Bacterial community structure -- Fatty acid biosynthesis -- Enzymes; Microbiology -- Periodicals; 579.05
• DOI: 10.1186/s12866-016-0669-8
• Languages: English
• ISSNs: 1471-2180

Abstract

Abstract Background Gauging the microbial community structures and functions become imperative to understand the ecological processes. To understand the impact of long-term oil contamination on microbial community structure soil samples were taken from oil fields located in different industrial regions across Kadi, near Ahmedabad, India. Soil collected was hence used for metagenomic DNA extraction to study the capabilities of intrinsic microbial community in tolerating the oil perturbation. Results Taxonomic profiling was carried out by two different complementary approaches i.e. 16S rDNA and lowest common ancestor. The community profiling revealed the enrichment of phylum "Proteobacteria " and genus "Chromobacterium, " respectively for polluted soil sample. Our results indicated that soil microbial diversity (Shannon diversity index) decreased significantly with contamination. Further, assignment of obtained metagenome reads to Clusters of Orthologous Groups (COG) of protein and Kyoto Encyclopedia of Genes and Genomes (KEGG) hits revealed metabolic potential of indigenous microbial community. Enzymes were mapped on fatty acid biosynthesis pathway to elucidate their roles in possible catalytic reactions. Conclusion To the best of our knowledge this is first study for influence of edible oil on soil microbial communities via shotgun sequencing. The results indicated that long-term oil contamination significantly affects soil microbial community structure by acting as an environmental filter to decrease the regional differences distinguishing soil microbial communities.