↓ Skip to main content

Comparative metagenomics of Daphnia symbionts

Overview of attention for article published in BMC Genomics, April 2009
Altmetric Badge

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
147 Mendeley
citeulike
7 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comparative metagenomics of Daphnia symbionts
Published in
BMC Genomics, April 2009
DOI 10.1186/1471-2164-10-172
Pubmed ID
Authors

Weihong Qi, Guang Nong, James F Preston, Frida Ben-Ami, Dieter Ebert

Abstract

Shotgun sequences of DNA extracts from whole organisms allow a comprehensive assessment of possible symbionts. The current project makes use of four shotgun datasets from three species of the planktonic freshwater crustaceans Daphnia: one dataset from clones of D. pulex and D. pulicaria and two datasets from one clone of D. magna. We analyzed these datasets with three aims: First, we search for bacterial symbionts, which are present in all three species. Second, we search for evidence for Cyanobacteria and plastids, which had been suggested to occur as symbionts in a related Daphnia species. Third, we compare the metacommunities revealed by two different 454 pyrosequencing methods (GS 20 and GS FLX).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
United States 3 2%
France 2 1%
Brazil 2 1%
Sweden 2 1%
Mexico 2 1%
India 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Other 2 1%
Unknown 127 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 26%
Student > Ph. D. Student 37 25%
Student > Master 17 12%
Student > Bachelor 15 10%
Professor 9 6%
Other 17 12%
Unknown 14 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 97 66%
Biochemistry, Genetics and Molecular Biology 15 10%
Environmental Science 9 6%
Immunology and Microbiology 5 3%
Medicine and Dentistry 2 1%
Other 5 3%
Unknown 14 10%