Dataset Information

Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens

ABSTRACT: Instrument data for publication "Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens", ISME J. 2012 Sep; 6(9): 1688-1701. PMID: 22378535. PMCID: PMC3498920

INSTRUMENT(S): LTQ Orbitrap, LTQ

ORGANISM(S): Environmental Samples <verrucomicrobiales> (ncbitaxon:48468)

SUBMITTER: Frank Aylward

PROVIDER: MSV000082408 | MassIVE | Fri May 25 17:46:00 BST 2018

REPOSITORIES: MassIVE

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Publications

Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens.

Aylward Frank O FO Burnum Kristin E KE Scott Jarrod J JJ Suen Garret G Tringe Susannah G SG Adams Sandra M SM Barry Kerrie W KW Nicora Carrie D CD Piehowski Paul D PD Purvine Samuel O SO Starrett Gabriel J GJ Goodwin Lynne A LA Smith Richard D RD Lipton Mary S MS Currie Cameron R CR

The ISME journal 20120301 9

Herbivores gain access to nutrients stored in plant biomass largely by harnessing the metabolic activities of microbes. Leaf-cutter ants of the genus Atta are a hallmark example; these dominant neotropical herbivores cultivate symbiotic fungus gardens on large quantities of fresh plant forage. As the external digestive system of the ants, fungus gardens facilitate the production and sustenance of millions of workers. Using metagenomic and metaproteomic techniques, we characterize the bacterial d ...[more]

PMID: 22378535

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Project description:Marine snow plays a central role in carbon cycling. It consists of organic particles and particle-associated (PA) microbMarine snow plays a central role in carbon cycling. It consists of organic particles and particle-associated (PA) microbial communities that are embedded in a sugary matrix. Metaproteomic analysis offers the unique opportunity to gain unprecedented insight into the microbial community composition and biomolecular activity of environmental samples. In order to realize this potential for marine PA microbial communities, new methods of protein extraction must be developed. In this study, we used 1D-SDS-PAGEs and LC-MS/MS to compare the efficiency of six established protein extraction protocols for their applicability of metaproteomic analyses of the PA microbial community in the North Sea. A combination of SDS-buffer extraction and bead beating resulted in the greatest number of identified protein groups. As expected, a metagenomic database of the same environmental sample increased the number of protein identification by approximately 50%. To demonstrate the application of our established protocol, particulate bacterioplankton samples collected during spring phytoplankton bloom in 2009 near the island Helgoland, were analysed by a GeLC-MS/MS-based metaproteomic approach. Our results indicated that there are only slight differences in the taxonomical distribution between free-living (FL) and PA bacteria but that the abundance of protein groups involved in polysaccharide degradation, motility and particle specific stress (oxygen limitation, nutrient limitation, heavy metal stress) is higher in the PA fractions. ial communities that are embedded in a sugary matrix. Metaproteomic analysis offers the unique opportunity to gain unprecedented insight into the microbial community composition and biomolecular activity of environmental samples. In order to realize this potential for marine PA microbial communities, new methods of protein extraction must be developed. In this study, we used 1D-SDS-PAGEs and LC-MS/MS to compare the efficiency of six established protein extraction protocols for the their applicability of metaproteomic analyses of the PA microbial community in the North Sea. A combination of SDS-buffer extraction and bead beating resulted in the greatest number of identified protein groups. As expected, a metagenomic database of the same environmental sample increased the number of protein identification by approximately 50%. To demonstrate the application of our established protocol, particulate bacterioplankton samples collected during spring phytoplankton bloom in 2009 near the island Helgoland, were analysed by a GeLC-MS/MS-based metaproteomic approach. Our results indicated that there are only slight differences in the taxonomical distribution between free-living (FL) and PA bacteria but that the abundance of protein groups involved in polysaccharide degradation, motility and particle specific stress (oxygen limitation, nutrient limitation, heavy metal stress) is higher in the PA fractions.

Dataset Information

Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens

Publications

Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens.

Similar Datasets

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