Towards annotating the plant epigenome: the Arabidopsis thaliana small RNA locus map.
dc.contributor.author | Hardcastle, Thomas J | |
dc.contributor.author | Müller, Sebastian Y | |
dc.contributor.author | Baulcombe, David C | |
dc.date.accessioned | 2018-09-05T12:47:32Z | |
dc.date.available | 2018-09-05T12:47:32Z | |
dc.date.issued | 2018-04-20 | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/279542 | |
dc.description.abstract | Based on 98 public and internal small RNA high throughput sequencing libraries, we mapped small RNAs to the genome of the model organism Arabidopsis thaliana and defined loci based on their expression using an empirical Bayesian approach. The resulting loci were subsequently classified based on their genetic and epigenetic context as well as their expression properties. We present the results of this classification, which broadly conforms to previously reported divisions between transcriptional and post-transcriptional gene silencing small RNAs, and to PolIV and PolV dependencies. However, we are able to demonstrate the existence of further subdivisions in the small RNA population of functional significance. Moreover, we present a framework for similar analyses of small RNA populations in all species. | |
dc.format.medium | Electronic | |
dc.language | eng | |
dc.publisher | Springer Science and Business Media LLC | |
dc.rights | Attribution 4.0 International (CC BY 4.0) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Arabidopsis | |
dc.subject | Arabidopsis Proteins | |
dc.subject | RNA, Small Interfering | |
dc.subject | RNA, Plant | |
dc.subject | Bayes Theorem | |
dc.subject | Epigenesis, Genetic | |
dc.subject | Gene Expression Regulation, Plant | |
dc.subject | RNA Interference | |
dc.subject | Genome, Plant | |
dc.subject | Epigenomics | |
dc.subject | High-Throughput Nucleotide Sequencing | |
dc.title | Towards annotating the plant epigenome: the Arabidopsis thaliana small RNA locus map. | |
dc.type | Article | |
prism.issueIdentifier | 1 | |
prism.publicationDate | 2018 | |
prism.publicationName | Sci Rep | |
prism.startingPage | 6338 | |
prism.volume | 8 | |
dc.identifier.doi | 10.17863/CAM.26914 | |
dcterms.dateAccepted | 2018-04-05 | |
rioxxterms.versionofrecord | 10.1038/s41598-018-24515-8 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2018-04-20 | |
dc.contributor.orcid | Müller, Sebastian Y [0000-0002-0148-7020] | |
dc.contributor.orcid | Baulcombe, David C [0000-0003-0780-6878] | |
dc.identifier.eissn | 2045-2322 | |
rioxxterms.type | Journal Article/Review | |
pubs.funder-project-id | European Research Council (340642) | |
cam.issuedOnline | 2018-04-20 |
Files in this item
This item appears in the following Collection(s)
-
Cambridge University Research Outputs
Research outputs of the University of Cambridge