Cargando…

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

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 iso...

Descripción completa

Detalles Bibliográficos
Autores principales: Yadav, Shailendra, Kundu, Sharbadeb, Ghosh, Sankar K., Maitra, S. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4623359/
https://www.ncbi.nlm.nih.gov/pubmed/26568700
http://dx.doi.org/10.1155/2015/563414
_version_ 1782397672551874560
author Yadav, Shailendra
Kundu, Sharbadeb
Ghosh, Sankar K.
Maitra, S. S.
author_facet Yadav, Shailendra
Kundu, Sharbadeb
Ghosh, Sankar K.
Maitra, S. S.
author_sort Yadav, Shailendra
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4623359
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-46233592015-11-15 Molecular Analysis of Methanogen Richness in Landfill and Marshland Targeting 16S rDNA Sequences Yadav, Shailendra Kundu, Sharbadeb Ghosh, Sankar K. Maitra, S. S. Archaea Research Article 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. Hindawi Publishing Corporation 2015-10-13 /pmc/articles/PMC4623359/ /pubmed/26568700 http://dx.doi.org/10.1155/2015/563414 Text en Copyright © 2015 Shailendra Yadav et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yadav, Shailendra
Kundu, Sharbadeb
Ghosh, Sankar K.
Maitra, S. S.
Molecular Analysis of Methanogen Richness in Landfill and Marshland Targeting 16S rDNA Sequences
title Molecular Analysis of Methanogen Richness in Landfill and Marshland Targeting 16S rDNA Sequences
title_full Molecular Analysis of Methanogen Richness in Landfill and Marshland Targeting 16S rDNA Sequences
title_fullStr Molecular Analysis of Methanogen Richness in Landfill and Marshland Targeting 16S rDNA Sequences
title_full_unstemmed Molecular Analysis of Methanogen Richness in Landfill and Marshland Targeting 16S rDNA Sequences
title_short Molecular Analysis of Methanogen Richness in Landfill and Marshland Targeting 16S rDNA Sequences
title_sort molecular analysis of methanogen richness in landfill and marshland targeting 16s rdna sequences
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4623359/
https://www.ncbi.nlm.nih.gov/pubmed/26568700
http://dx.doi.org/10.1155/2015/563414
work_keys_str_mv AT yadavshailendra molecularanalysisofmethanogenrichnessinlandfillandmarshlandtargeting16srdnasequences
AT kundusharbadeb molecularanalysisofmethanogenrichnessinlandfillandmarshlandtargeting16srdnasequences
AT ghoshsankark molecularanalysisofmethanogenrichnessinlandfillandmarshlandtargeting16srdnasequences
AT maitrass molecularanalysisofmethanogenrichnessinlandfillandmarshlandtargeting16srdnasequences