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A Genome-Wide Survey of Switchgrass Genome Structure and Organization

Overview of attention for article published in PLOS ONE, April 2012
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Title
A Genome-Wide Survey of Switchgrass Genome Structure and Organization
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0033892
Pubmed ID
Authors

Manoj K. Sharma, Rita Sharma, Peijian Cao, Jerry Jenkins, Laura E. Bartley, Morgan Qualls, Jane Grimwood, Jeremy Schmutz, Daniel Rokhsar, Pamela C. Ronald

Abstract

The perennial grass, switchgrass (Panicum virgatum L.), is a promising bioenergy crop and the target of whole genome sequencing. We constructed two bacterial artificial chromosome (BAC) libraries from the AP13 clone of switchgrass to gain insight into the genome structure and organization, initiate functional and comparative genomic studies, and assist with genome assembly. Together representing 16 haploid genome equivalents of switchgrass, each library comprises 101,376 clones with average insert sizes of 144 (HindIII-generated) and 110 kb (BstYI-generated). A total of 330,297 high quality BAC-end sequences (BES) were generated, accounting for 263.2 Mbp (16.4%) of the switchgrass genome. Analysis of the BES identified 279,099 known repetitive elements, >50,000 SSRs, and 2,528 novel repeat elements, named switchgrass repetitive elements (SREs). Comparative mapping of 47 full-length BAC sequences and 330K BES revealed high levels of synteny with the grass genomes sorghum, rice, maize, and Brachypodium. Our data indicate that the sorghum genome has retained larger microsyntenous regions with switchgrass besides high gene order conservation with rice. The resources generated in this effort will be useful for a broad range of applications.

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Geographical breakdown

Country Count As %
United States 2 3%
Canada 1 2%
Brazil 1 2%
Japan 1 2%
Thailand 1 2%
Unknown 54 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 32%
Student > Ph. D. Student 9 15%
Student > Master 8 13%
Professor > Associate Professor 4 7%
Student > Bachelor 4 7%
Other 9 15%
Unknown 7 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 75%
Biochemistry, Genetics and Molecular Biology 2 3%
Computer Science 2 3%
Social Sciences 2 3%
Medicine and Dentistry 1 2%
Other 2 3%
Unknown 6 10%