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Open AccessJournal ArticleDOI

Molecular Analysis of Methanogen Richness in Landfill and Marshland Targeting 16S rDNA Sequences

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TLDR
The copy number analysis of hydrogenotrophic methanogens using qPCR indicates higher abundance in landfill sites of Delhi as compared to the marshlands of Southern Assam, which could shed light on the relationship between methane-dynamics and the global warming process.
Abstract
Methanogens, a key contributor in global carbon cycling, methane emission, and alternative energy production, generate methane gas via anaerobic digestion of organic matter. The methane emission potential depends upon methanogenic diversity and activity. Since they are anaerobes and difficult to isolate and culture, their diversity present in the landfill sites of Delhi and marshlands of Southern Assam, India, was analyzed using molecular techniques like 16S rDNA sequencing, DGGE, and qPCR. The sequencing results indicated the presence of methanogens belonging to the seventh order and also the order Methanomicrobiales in the Ghazipur and Bhalsawa landfill sites of Delhi. Sequences, related to the phyla Crenarchaeota (thermophilic) and Thaumarchaeota (mesophilic), were detected from marshland sites of Southern Assam, India. Jaccard analysis of DGGE gel using Gel2K showed three main clusters depending on the number and similarity of band patterns. The copy number analysis of hydrogenotrophic methanogens using qPCR indicates higher abundance in landfill sites of Delhi as compared to the marshlands of Southern Assam. The knowledge about “methanogenic archaea composition” and “abundance” in the contrasting ecosystems like “landfill” and “marshland” may reorient our understanding of the Archaea inhabitants. This study could shed light on the relationship between methane-dynamics and the global warming process.

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Microbial Population Changes During Bioremediation of an Experimental Oil Spill

TL;DR: PLFA analysis indicated that by week 14 the microbial community structures of the oiled plots were becoming similar to those of the unoiled controls from the same time point, but DGGE analysis suggested that major differences in the bacterial communities remained.
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Municipal solid waste landfills harbor distinct microbiomes

TL;DR: How leachate microbiomes are distinct from those of other natural or built environments is illustrated, and light is shed on the major selective forces responsible for this microbial diversity.
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Comparative Analysis of Methanogenic Communities in Different Laboratory-Scale Anaerobic Digesters

TL;DR: The results suggest that the application of methanogenic archaea adapted to specific feedstock might enhance the anaerobic digestion of such waste materials in full-scale biogas reactors.
Journal ArticleDOI

A Review of Landfill Microbiology and Ecology: A Call for Modernization With 'Next Generation' Technology.

TL;DR: The recent application of modern microbiological tools as well as recent metadata analysis using California, USEPA and international data are summarized to outline an evolving view of landfill biogeochemical/microbiological processes and rates.
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Bioprospecting potential of microbial communities in solid waste landfills for novel enzymes through metagenomic approach.

TL;DR: Co-occurrence analysis revealed presence of complex interaction networks between microbial assemblages responsible for bio-degradation of hydrocarbons and provides insights about synergetic interactions and functional interplay between bacterial communities in different landfill sites which could be further exploited to develop an effective bioremediation process.
References
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I and J

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Basic Local Alignment Search Tool

TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
Journal ArticleDOI

MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0

TL;DR: An advanced version of the Molecular Evolutionary Genetics Analysis software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, is released, which enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny.

Climate change 2007: the physical science basis

TL;DR: The first volume of the IPCC's Fourth Assessment Report as mentioned in this paper was published in 2007 and covers several topics including the extensive range of observations now available for the atmosphere and surface, changes in sea level, assesses the paleoclimatic perspective, climate change causes both natural and anthropogenic, and climate models for projections of global climate.

Brief Communication MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0

TL;DR: The Molecular Evolutionary Genetics Analysis (MEGA) software as discussed by the authors provides facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, including the inference of timetrees.
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