Literature DB >> 35340610

How plants solubilise seed fats: revisiting oleosin structure and function to inform commercial applications.

Amanda J Board1,2, Jennifer M Crowther1,2, Alejandra Acevedo-Fani2, Claudia-Nicole Meisrimler1, Geoffrey B Jameson2,3, Renwick C J Dobson1,2,4.   

Abstract

Plants store triacylglycerides in organelles called oil bodies, which are important fuel sources for germination. Oil bodies consist of a lipid core surrounded by an interfacial single layer membrane of phospholipids and proteins. Oleosins are highly conserved plant proteins that are important for oil body formation, solubilising the triacylglycerides, stabilising oil bodies, and playing a role in mobilising the fuel during the germination process. The domain structure of oleosins is well established, with N- and C-terminal domains that are hydrophilic flanking a long hydrophobic domain that is proposed to protrude into the triacylglyceride core of the oil body. However, beyond this general understanding, little molecular level detail on the structure is available and what is known is disputed. This lack of knowledge limits our understanding of oleosin function and concomitantly our ability to engineer them. Here, we review the state of play in the literature regarding oleosin structure and function, and provide some examples of how oleosins can be used in commercial settings. © International Union for Pure and Applied Biophysics (IUPAB) and Springer-Verlag GmbH Germany, part of Springer Nature 2022.

Entities:  

Keywords:  Lipoprotein; Oil bodies; Oleosins; Plant germination; Plant protein

Year:  2022        PMID: 35340610      PMCID: PMC8921422          DOI: 10.1007/s12551-021-00923-5

Source DB:  PubMed          Journal:  Biophys Rev        ISSN: 1867-2450


  77 in total

1.  Spherosome membranes: half unit-membranes.

Authors:  L Y Yatsu; T J Jacks
Journal:  Plant Physiol       Date:  1972-06       Impact factor: 8.340

Review 2.  Oleosins and oil bodies in seeds and other organs.

Authors:  A H Huang
Journal:  Plant Physiol       Date:  1996-04       Impact factor: 8.340

3.  Serine/threonine/tyrosine protein kinase phosphorylates oleosin, a regulator of lipid metabolic functions.

Authors:  Velayoudame Parthibane; Ramachandiran Iyappan; Anitha Vijayakumar; Varadarajan Venkateshwari; Ram Rajasekharan
Journal:  Plant Physiol       Date:  2012-03-20       Impact factor: 8.340

4.  Secondary structures of a new class of lipid body proteins from oilseeds.

Authors:  M Li; L J Smith; D C Clark; R Wilson; D J Murphy
Journal:  J Biol Chem       Date:  1992-04-25       Impact factor: 5.157

5.  Purification and characterization of oil-bodies (oleosomes) and oil-body boundary proteins (oleosins) from the developing cotyledons of sunflower (Helianthus annuus L.)

Authors:  M Millichip; A S Tatham; F Jackson; G Griffiths; P R Shewry; A K Stobart
Journal:  Biochem J       Date:  1996-02-15       Impact factor: 3.857

6.  Keratinocyte growth factor-2 accelerates wound healing in incisional wounds.

Authors:  P A Jimenez; M A Rampy
Journal:  J Surg Res       Date:  1999-02       Impact factor: 2.192

7.  Membrane protein topology of oleosin is constrained by its long hydrophobic domain.

Authors:  Ben M Abell; Stephen High; Maurice M Moloney
Journal:  J Biol Chem       Date:  2001-10-22       Impact factor: 5.157

8.  Fibroblast growth factors stimulate hair growth through β-catenin and Shh expression in C57BL/6 mice.

Authors:  Wei-hong Lin; Li-Jun Xiang; Hong-Xue Shi; Jian Zhang; Li-ping Jiang; Ping-tao Cai; Zhen-Lang Lin; Bei-Bei Lin; Yan Huang; Hai-Lin Zhang; Xiao-Bing Fu; Ding-Jiong Guo; Xiao-Kun Li; Xiao-Jie Wang; Jian Xiao
Journal:  Biomed Res Int       Date:  2015-01-01       Impact factor: 3.411

9.  Oil body bound oleosin-rhFGF9 fusion protein expressed in safflower (Carthamus tinctorius L.) stimulates hair growth and wound healing in mice.

Authors:  Jingbo Cai; Ruicheng Wen; Wenqing Li; Xiuran Wang; Haishan Tian; Shanyong Yi; Linbo Zhang; Xiaokun Li; Chao Jiang; Haiyan Li
Journal:  BMC Biotechnol       Date:  2018-08-29       Impact factor: 2.563

10.  Improved protein structure prediction by deep learning irrespective of co-evolution information.

Authors:  Jinbo Xu; Matthew Mcpartlon; Jin Li
Journal:  Nat Mach Intell       Date:  2021-05-20
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