40
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3
rd
International Conference on
3
rd
International Conference on
Ecology, Ecosystem and Conservation Biology
Microbial Ecology & Eco Systems
&
March 18-19, 2019 | Chicago, USA
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Comparative
structural and
functional analysis of
microbial diversity
and physico chemical
analysis of the Okhla
landfill and compost
soil New Delhi India
Bindu Yadav
and
Meenakshi Dua
Jawaharlal Nehru University, India
M
etagenomics provides
a culture-independent
assessment and gives
an insight into complex
relationships between
microbial composition
and functional diversity in
soil. Landfill and compost
sites provide unique
habitat to study microbial
interrelationships since they
host a great microbial diversity.
We report the taxonomic and
functional characterization of
the microbiome of composite
soil sample isolated from
typical landfill and compost
in Okhla, New Delhi, India.
Whole metagenome
sequencing was performed
to identify the microbial
community of the composite
soil sample using the Illumina
NextSeq500 platform.
Prodigal was performed
for the gene prediction
and resulting genes were
considered for downstream
analysis. The taxonomical
analysis was carried out using
Kaiju. The high-quality reads
were assembled using CLC
genomics workbench. Analysis
showed that
Methylocaldum,
Thalasobacillus, Acinetobacter
were the most dominant
genera where-as
Proteobacteria, Acinetobacter,
Firmicutes were the most
dominant phyla in Landfill.
Likewise, Streptomyces,
Saccharomonospora,
Nocardiopsis the most
dominant genera
whereas Actinobacteria,
Proteobacteria, Firmicutes
were the most dominant phyla
in compost. This suggests
the key role these microbes
play in biomass degradation.
The structure of microbiota
in the landfill was affected by
physicochemical properties
like pH, EC, organic matter
and moisture content and
presence of various elements.
Physicochemical analysis of
various elements was done
with ED-XRF. Our results
provide applicable analysis and
visualization approaches for
studying the complexity and
heterogeneity of soil microbial
communities. For functional
analysis COG, KEGG pathways
and GO was performed using
Cognizer. The COG class
‘R’ was found to have the
highest number of hits for
the composite sample. This
showed that most of the genes
were involved in “Metabolism”
of carbohydrates, amino acids,
energy, nucleotides and lipids,
xenobiotics biodegradation.
In our study, a significant
decrease in
Candidatus
Saccharibacteria
was observed
in the presence of
P. Indica
, a
plant endomycorrhiza. Further
investigations are in process to
E- POSTER PRESENTATIONS
JOURNAL OF ECOSYSTEM& ECOGRAPHY 2019, VOLUME 9 | DOI: 10.4172/2157-7625-C1-045