Cell- and Tissue-Specific Transcriptome Analyses of Medicago truncatula Root Nodules

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Limpens, Erik; Moling, Sjef; Hooiveld, Guido; Pereira, Patricia A.; Bisseling, Ton; et. al.: Cell- and Tissue-Specific Transcriptome Analyses of Medicago truncatula Root Nodules. In: PloS ONE 8 (2013), Nr. 5, e64377. DOI: http://dx.doi.org/10.1371/journal.pone.0064377

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Abstract: 
Legumes have the unique ability to host nitrogen-fixing Rhizobium bacteria as symbiosomes inside root nodule cells. To get insight into this key process, which forms the heart of the endosymbiosis, we isolated specific cells/tissues at different stages of symbiosome formation from nodules of the model legume Medicago truncatula using laser-capture microdissection. Next, we determined their associated expression profiles using Affymetrix Medicago GeneChips. Cells were collected from the nodule infection zone divided into a distal (where symbiosome formation and division occur) and proximal region (where symbiosomes are mainly differentiating), as well as infected cells from the fixation zone containing mature nitrogen fixing symbiosomes. As non-infected cells/tissue we included nodule meristem cells and uninfected cells from the fixation zone. Here, we present a comprehensive gene expression map of an indeterminate Medicago nodule and selected genes that show specific enriched expression in the different cells or tissues. Validation of the obtained expression profiles, by comparison to published gene expression profiles and experimental verification, indicates that the data can be used as digital "in situ''. This digital "in situ'' offers a genome-wide insight into genes specifically associated with subsequent stages of symbiosome and nodule cell development, and can serve to guide future functional studies.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2013-05-29
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 162 76.06%
2 image of flag of United States United States 22 10.33%
3 image of flag of China China 7 3.29%
4 image of flag of Vietnam Vietnam 2 0.94%
5 image of flag of No geo information available No geo information available 2 0.94%
6 image of flag of India India 2 0.94%
7 image of flag of Indonesia Indonesia 2 0.94%
8 image of flag of Canada Canada 2 0.94%
9 image of flag of Paraguay Paraguay 1 0.47%
10 image of flag of Norway Norway 1 0.47%
    other countries 10 4.69%

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