NDLI: MicroRNAs in cotton: an open world needs more exploration

Content Provider	Springer Nature Link
Author	Wang, Qinglian Zhang, Baohong
Copyright Year	2015
Abstract	This paper reviews the progress and current problems in the field of cotton microRNAs. Cotton is not only one of the most important crops in terms of fiber usage and economic value, but also a model species for investigating cell wall and cellulose biosynthesis as well plant polyploidization. Compared with model plant species, such as Arabidopsis and rice, the research on cotton microRNAs (miRNAs) is lagging, although great progress has been made in the past decade. Since the first reports on identifying miRNAs in cotton in 2007, hundreds of miRNAs have been identified using an in silico comparative genome-based approach and direct cloning. Next-generation deep sequencing has opened the door for cotton miRNA research. In cotton, miRNAs are associated with many biological and metabolic processes, including fiber initiation and development, floral development, embryogenesis, and response to biotic and abiotic stresses. However, the majority of current research is focused on miRNA identification. Although several targets have been predicted using computational approaches and degradome sequencing, more functional studies should be performed in the next couple of years to elucidate the roles of miRNAs in cotton fiber development and response to different environmental stresses using transgenic technology. This paper reviews the history, identification, and function of cotton miRNAs as well as future directions for this research.
Starting Page	1303
Ending Page	1312
Page Count	10
File Format	PDF
ISSN	00320935
Journal	Planta
Volume Number	241
Issue Number	6
e-ISSN	14322048
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-04-05
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cotton Gossypium Gene regulation microRNA Fiber Abiotic stress Plant Sciences Agriculture Ecology Forestry
Content Type	Text
Resource Type	Article
Subject	Genetics Plant Science

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