Polyproline II Helix as a Recognition Motif of Plant Peptide Hormones and Flagellin Peptide flg22

2019 ◽  
Vol 26 (9) ◽  
pp. 684-690
Author(s):  
Norio Matsushima ◽  
Hiroki Miyashita ◽  
Shinsuke Tamaki ◽  
Robert H. Kretsinger

Background: Plant peptide hormones play a crucial role in plant growth and development. A group of these peptide hormones are signaling peptides with 5 - 23 amino acids. Flagellin peptide (flg22) also elicits an immune response in plants. The functions are expressed through recognition of the peptide hormones and flg22. This recognition relies on membrane localized receptor kinases with extracellular leucine rich repeats (LRR-RKs). The structures of plant peptide hormones - AtPep1, IDA, IDL1, RGFs 1- 3, TDIF/CLE41 - and of flg22 complexed with LRR domains of corresponding LRRRKs and co-receptors SERKs have been determined. However, their structures are well not analyzed and characterized in detail. The structures of PIP, CEP, CIF, and HypSys are still unknown. Objective: Our motivation is to clarify structural features of these plant, small peptides and Flg22 in their bound states. Methods: In this article, we performed secondary structure assignments and HELFIT analyses (calculating helix axis, pitch, radius, residues per turn, and handedness) based on the atomic coordinates from the crystal structures of AtPep1, IDA, IDL1, RGFs 1- 3, TDIF/CLE41 - and of flg22. We also performed sequence analysis of the families of PIP, CEP, CIF, and HypSys in order to predict their secondary structures. Results: Following AtPep1 with 23 residues adopts two left handed polyproline helices (PPIIs) with six and four residues. IDA, IDL1, RGFs 1 - 2, and TDIF/CLE41 with 12 or 13 residues adopt a four residue PPII; RGF3 adopts two PPIIs with four residues. Flg22 with 22 residues also adopts a six residue PPII. The other peptide hormones – PIP, CEP, CIF, and HypSys – that are rich in proline or hydroxyproline presumably prefer PPII. Conclusion: The present analysis indicates that PPII helix in the plant small peptide hormones and in flg22 is crucial for recognition of the LRR domains in receptors.

2016 ◽  
Vol 35 (12) ◽  
pp. 2701-2713 ◽  
Author(s):  
Alexei A. Adzhubei ◽  
Anastasia A. Anashkina ◽  
Alexander A. Makarov

2018 ◽  
Vol 37 (3) ◽  
pp. 223-236 ◽  
Author(s):  
Dashdavaa Batkhishig ◽  
Khurelbaatar Bilguun ◽  
Purevjav Enkhbayar ◽  
Hiroki Miyashita ◽  
Robert H. Kretsinger ◽  
...  

Biochemistry ◽  
2001 ◽  
Vol 40 (48) ◽  
pp. 14376-14383 ◽  
Author(s):  
Melissa A. Kelly ◽  
Brian W. Chellgren ◽  
Adam L. Rucker ◽  
Jerry M. Troutman ◽  
Michael G. Fried ◽  
...  

2020 ◽  
Vol 7 (1) ◽  
pp. 191239 ◽  
Author(s):  
Kevin T. O’Brien ◽  
Catherine Mooney ◽  
Cyril Lopez ◽  
Gianluca Pollastri ◽  
Denis C. Shields

Background: The polyproline II helix (PPIIH) is an extended protein left-handed secondary structure that usually but not necessarily involves prolines. Short PPIIHs are frequently, but not exclusively, found in disordered protein regions, where they may interact with peptide-binding domains. However, no readily usable software is available to predict this state. Results: We developed PPIIPRED to predict polyproline II helix secondary structure from protein sequences, using bidirectional recurrent neural networks trained on known three-dimensional structures with dihedral angle filtering. The performance of the method was evaluated in an external validation set. In addition to proline, PPIIPRED favours amino acids whose side chains extend from the backbone (Leu, Met, Lys, Arg, Glu, Gln), as well as Ala and Val. Utility for individual residue predictions is restricted by the rarity of the PPIIH feature compared to structurally common features. Conclusion: The software, available at http://bioware.ucd.ie/PPIIPRED , is useful in large-scale studies, such as evolutionary analyses of PPIIH, or computationally reducing large datasets of candidate binding peptides for further experimental validation.


2003 ◽  
Vol 53 (1) ◽  
pp. 68-75 ◽  
Author(s):  
Adam L. Rucker ◽  
Cara T. Pager ◽  
Margaret N. Campbell ◽  
Joseph E. Qualls ◽  
Trevor P. Creamer

2009 ◽  
Vol 52 (7) ◽  
pp. 2043-2051 ◽  
Author(s):  
Bhooma Raghavan ◽  
Kevin J. Skoblenick ◽  
Swapna Bhagwanth ◽  
Niran Argintaru ◽  
Ram K. Mishra ◽  
...  

Biochemistry ◽  
2001 ◽  
Vol 40 (12) ◽  
pp. 3427-3438 ◽  
Author(s):  
Kan Ma ◽  
Lou-sing Kan ◽  
Kuan Wang

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Vincenzo Afferrante ◽  
Axel Maas ◽  
René Sondenheimer ◽  
Pascal Törek

Strict gauge invariance requires that physical left-handed leptons are actually bound states of the elementary left-handed lepton doublet and the Higgs field within the standard model. That they nonetheless behave almost like pure elementary particles is explained by the Fr"ohlich-Morchio-Strocchi mechanism. Using lattice gauge theory, we test and confirm this mechanism for fermions. Though, due to the current inaccessibility of non-Abelian gauged Weyl fermions on the lattice, a model which contains vectorial leptons but which obeys all other relevant symmetries has been simulated.


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