Identification of MicroRNAs and Transcript Targets in Camelina sativa by Deep Sequencing and Computational Methods

dc.contributor.authorPoudel, Saroj
dc.contributor.authorNiranjan, Aryal
dc.contributor.authorLu, Chaofu
dc.date.accessioned2015-10-16T15:29:12Z
dc.date.available2015-10-16T15:29:12Z
dc.date.issued2015-03
dc.description.abstractCamelina sativa is an annual oilseed crop that is under intensive development for renewable resources of biofuels and industrial oils. MicroRNAs, or miRNAs, are endogenously encoded small RNAs that play key roles in diverse plant biological processes. Here, we conducted deep sequencing on small RNA libraries prepared from camelina leaves, flower buds and two stages of developing seeds corresponding to initial and peak storage products accumulation. Computational analyses identified 207 known miRNAs belonging to 63 families, as well as 5 novel miRNAs. These miRNAs, especially members of the miRNA families, varied greatly in different tissues and developmental stages. The predicted miRNA target genes are involved in a broad range of physiological functions including lipid metabolism. This report is the first step toward elucidating roles of miRNAs in C. sativa and will provide additional tools to improve this oilseed crop for biofuels and biomaterials.en_US
dc.description.sponsorshipNational Science Foundation (No. IOS-1339385); the Department of Energy (DE-AR0000202) of the United Statesen_US
dc.identifier.citationPoudel, Saroj, Niranjan Aryal, and Chaofu Lu. "Identification of MicroRNAs and Transcript Targets in Camelina sativa by Deep Sequencing and Computational Methods ." PLoS ONE 10, no. 3 (March 2015): e0121542. DOI:https://dx.doi.org/10.1371/journal.pone.0121542.en_US
dc.identifier.issn1932-6203
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/9323
dc.rightsCC BY 4.0
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleIdentification of MicroRNAs and Transcript Targets in Camelina sativa by Deep Sequencing and Computational Methodsen_US
dc.typeArticleen_US
mus.citation.extentfirstpagee0121542en_US
mus.citation.issue3en_US
mus.citation.journaltitlePLoS ONEen_US
mus.citation.volume10en_US
mus.contributor.orcidLu, Chaofu|0000-0001-6901-7490en_US
mus.data.thumbpage5en_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.doi10.1371/journal.pone.0121542en_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentComputer Science.en_US
mus.relation.departmentPlant Sciences & Plant Pathology.en_US
mus.relation.universityMontana State University - Bozemanen_US

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