Calviño, Martín; Bruggmann, Rémy; Messing, Joachim (2011). Characterization of the small RNA component of the transcriptome from grain and sweet sorghum stems. BMC Genomics, 12(356), p. 356. BioMed Central 10.1186/1471-2164-12-356
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BACKGROUND
Sorghum belongs to the tribe of the Andropogoneae that includes potential biofuel crops like switchgrass, Miscanthus and successful biofuel crops like corn and sugarcane. However, from a genomics point of view sorghum has compared to these other species a simpler genome because it lacks the additional rounds of whole genome duplication events. Therefore, it has become possible to generate a high-quality genome sequence. Furthermore, cultivars exists that rival sugarcane in levels of stem sugar so that a genetic approach can be used to investigate which genes are differentially expressed to achieve high levels of stem sugar.
RESULTS
Here, we characterized the small RNA component of the transcriptome from grain and sweet sorghum stems, and from F2 plants derived from their cross that segregated for sugar content and flowering time. We found that variation in miR172 and miR395 expression correlated with flowering time whereas variation in miR169 expression correlated with sugar content in stems. Interestingly, genotypic differences in the ratio of miR395 to miR395* were identified, with miR395* species expressed as abundantly as miR395 in sweet sorghum but not in grain sorghum. Finally, we provided experimental evidence for previously annotated miRNAs detecting the expression of 25 miRNA families from the 27 known and discovered 9 new miRNAs candidates in the sorghum genome.
CONCLUSIONS
Sequencing the small RNA component of sorghum stem tissue provides us with experimental evidence for previously predicted microRNAs in the sorghum genome and microRNAs with a potential role in stem sugar accumulation and flowering time.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology > Bioinformatics 08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology > Computational Biology 08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology |
UniBE Contributor: |
Bruggmann, Rémy |
ISSN: |
1471-2164 |
Publisher: |
BioMed Central |
Language: |
English |
Submitter: |
Kurt Wyler |
Date Deposited: |
25 Jun 2018 15:14 |
Last Modified: |
04 May 2023 13:57 |
Publisher DOI: |
10.1186/1471-2164-12-356 |
PubMed ID: |
21740560 |
BORIS DOI: |
10.7892/boris.98187 |
URI: |
https://boris.unibe.ch/id/eprint/98187 |
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