Literature DB >> 33837815

Computational characterizations of GDP-mannose 4,6-dehydratase (NoeL) Rhizobial proteins.

Supajit Sraphet1, Bagher Javadi2.   

Abstract

A growing body of evidence suggests that Nod Factors molecules are the critical structural components in nitrogen fixation. These molecules have been implicated in plant-microbe signaling. Many enzymes involved in Nod factors biosynthesis; however, the enzymes that decorate (modify) nod factor main structure play a vital role. Here, the computational analysis of GDP-mannose 4,6-dehydratase (NoeL) proteins with great impact in modification of nod factor structure in four genomes of agriculturally important rhizobia (Bradyrhizobium, Mesorhizobium, Rhizobium, Sinorhizobium) presented. The NoeL number of amino acids was in the range of 147 (M5AMF5) to 372 (A0A023XWX0, Q89TZ1). The molecular weights were around 41 KDa. The results showed that the strain-specific purification strategy should apply as the pI of the sequences varied significantly (in the range of 5.59 to 9.12). The enzyme sequences and eight 3-dimensional structures predicted with homology modeling and machine learning representing the phylogenetic tree revealed the stability of enzymes in different conditions (Instability and Aliphatic index); however, this stability is also strain-specific. Disulphide bonds were observed in some species; however, the pattern was not detected in all members of the same species. Alpha helix was the dominant secondary structure predicted in all cytoplasmic NoeL. All models were homo-tetramer with acceptable sequence identity, GMEAN and coverage (60, - 1.80, 88, respectively). Additionally, Ramachandran maps showed that more than 94% of residues are in favored regions. We also highlight several key characterizations of NoeL from four rhizobia genomes annotation. These findings provide novel insights into the complexity and diversity of NoeL enzymes among important rhizobia and suggest considering a broader framework of biofilm for future research.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Exopolysaccharides; Extracellular polymeric substances; Microorganisms; Nod Factors; NoeL

Mesh:

Substances:

Year:  2021        PMID: 33837815     DOI: 10.1007/s00294-021-01184-1

Source DB:  PubMed          Journal:  Curr Genet        ISSN: 0172-8083            Impact factor:   3.886


  59 in total

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Review 4.  Harnessing atmospheric nitrogen for cereal crop production.

Authors:  Sarah E Bloch; Min-Hyung Ryu; Bilge Ozaydin; Richard Broglie
Journal:  Curr Opin Biotechnol       Date:  2019-11-29       Impact factor: 9.740

5.  Herbaspirillum seropedicae rfbB and rfbC genes are required for maize colonization.

Authors:  Eduardo Balsanelli; Rodrigo V Serrato; Valter A de Baura; Guilherme Sassaki; Marshall G Yates; Liu Un Rigo; Fábio O Pedrosa; Emanuel M de Souza; Rose A Monteiro
Journal:  Environ Microbiol       Date:  2010-03-07       Impact factor: 5.491

Review 6.  Surface characteristics of Azospirillum brasilense in relation to cell aggregation and attachment to plant roots.

Authors:  S Burdman; Y Okon; E Jurkevitch
Journal:  Crit Rev Microbiol       Date:  2000       Impact factor: 7.624

7.  Isolation, chemical structures and biological activity of the lipo-chitin oligosaccharide nodulation signals from Rhizobium etli.

Authors:  L Cárdenas; J Domínguez; C Quinto; I M López-Lara; B J Lugtenberg; H P Spaink; G J Rademaker; J Haverkamp; J E Thomas-Oates
Journal:  Plant Mol Biol       Date:  1995-11       Impact factor: 4.076

8.  Molecular architecture and assembly principles of Vibrio cholerae biofilms.

Authors:  Veysel Berk; Jiunn C N Fong; Graham T Dempsey; Omer N Develioglu; Xiaowei Zhuang; Jan Liphardt; Fitnat H Yildiz; Steven Chu
Journal:  Science       Date:  2012-07-13       Impact factor: 47.728

9.  New insights into the evolutionary history of biological nitrogen fixation.

Authors:  Eric S Boyd; John W Peters
Journal:  Front Microbiol       Date:  2013-08-05       Impact factor: 5.640

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  1 in total

1.  Application of Hierarchical Clustering to Analyze Solvent-Accessible Surface Area Patterns in Amycolatopsis lipases.

Authors:  Supajit Sraphet; Bagher Javadi
Journal:  Biology (Basel)       Date:  2022-04-24
  1 in total

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