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Title: Macrotermes natalensis gut metagenome assembly data      
dateReleased:
09-01-2014
privacy:
not applicable
aggregation:
instance of dataset
dateCreated:
09-01-2014
refinement:
curated
ID:
doi:10.5524/100058
creators:
Poulsen, M
Hu, H
Li, C
Boomsma, J.J
Zhang, G
availability:
available
types:
sequence
description:
Background: Most termites rely on gut microbial symbionts to decompose organic matter. During the process of Macrotermitinae domesticating Termitomyces fungi, it led to the loss of their ancestral gut symbionts and the acquisition a novel gut microbiome, but the complementary roles of the major components of this obligate symbiosis remain enigmatic. Here we provide sequence assemblies for the gut microbiome of 3 distinct castes within the a single colony of termite. Sampling: The gut DNA were extract from major workers, minor soldiers and the queen from M. natalensis colony Mn117 (S24°40’30.5” E28°47’50.4”, elevation 1045 m). In workers and soldiers, duplicate extractions were performed on 2 x 50 guts pulled out of individuals aseptically, which were pooled after extraction. The queen gut DNA was from a entire queen gut dissected out aseptically. Finding: The three gut microbiomes were assembled to 446Mb (>1,200,000 genes), 337Mb (>900,000 genes), and 33Mb (>50,000 genes) for workers, soldiers and the queen, respectively. src="/images/fair_use2.gif" alt="Fair Use policy image" width="90" height="30" style="line-height:1; color:grey; font-size:11px "These data are made available pre-publication under the Fort Lauderdale rules. Please respect the rights of the data producers to publish their whole dataset analysis first. The data is being made available so that the research community can make use of them for more focused studies without having to wait for publication of the whole dataset analysis paper. If you wish to perform analyses on this complete dataset, please contact the authors directly so that you can work in collaboration rather than in competition. This datasets fair use agreement is in place until Jan 2015.
accessURL: https://doi.org/10.5524/100058
storedIn:
GigaScience Database
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
GigaDB
homePage: http://gigadb.org/
ID:
SCR:006565
name:
Giga Science Database

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