NMR and molecular modeling reveal key structural features of synthetic nodulation factors

Molecular basis of lipo-chitooligosaccharide recognition by the lysin motif receptor-like kinase LYR3 in legumes

LYR3 [LysM (lysin motif) receptor-like kinase 3] of Medicago truncatula is a high-affinity binding protein for symbiotic LCO (lipo-chitooligosaccharide) signals, produced by rhizobia bacteria and arbuscular mycorrhizal fungi. The present study shows that LYR3 from several other legumes, but not from two Lupinus species which are incapable of forming the mycorrhizal symbiosis, bind LCOs with high affinity and discriminate them from COs (chitooligosaccharides). The biodiversity of these proteins and the lack of binding to the Lupinus proteins were used to identify features required for high-affinity LCO binding. Swapping experiments between each of the three LysMs of the extracellular domain of the M. truncatula and Lupinus angustifolius LYR3 proteins revealed the crucial role of the third LysM in LCO binding. Site-directed mutagenesis identified a tyrosine residue, highly conserved in all LYR3 LCO-binding proteins, which is essential for high-affinity binding. Molecular modelling suggests that it may be part of a hydrophobic tunnel able to accommodate the LCO acyl chain. The lack of conservation of these features in the binding site of plant LysM proteins binding COs provides a mechanistic explanation of how LCO recognition might differ from CO perception by structurally related LysM receptors.

Lipo-chitooligosaccharidic nodulation factors and their perception by plant receptors

Lipo-chitooligosaccharides produced by nitrogen-fixing rhizobia are signaling molecules involved in the establishment of an important agronomical and ecological symbiosis with plants. These compounds, known as Nod factors, are biologically active on plant roots at very low concentrations indicating that they are perceived by specific receptors. This article summarizes the main strategies developed for the syntheses of bioactive Nod factors and their derivatives in order to better understand their mode of perception. Different Nod factor receptors and LCO-binding proteins identified by genetic or biochemical approaches are also presented, indicating perception mechanisms that seem to be more complicated than expected, probably involving multi-component receptor complexes.

Molecular basis for bacterial peptidoglycan recognition by LysM domains

Carbohydrate recognition is essential for growth, cell adhesion and signalling in all living organisms. A highly conserved carbohydrate binding module, LysM, is found in proteins from viruses, bacteria, fungi, plants and mammals. LysM modules recognize polysaccharides containing N-acetylglucosamine (GlcNAc) residues including peptidoglycan, an essential component of the bacterial cell wall. However, the molecular mechanism underpinning LysM-peptidoglycan interactions remains unclear. Here we describe the molecular basis for peptidoglycan recognition by a multimodular LysM domain from AtlA, an autolysin involved in cell division in the opportunistic bacterial pathogen Enterococcus faecalis. We explore the contribution of individual modules to the binding, identify the peptidoglycan motif recognized, determine the structures of free and bound modules and reveal the residues involved in binding. Our results suggest that peptide stems modulate LysM binding to peptidoglycan. Using these results, we reveal how the LysM module recognizes the GlcNAc-X-GlcNAc motif present in polysaccharides across kingdoms.

The use of glycoinformatics in glycochemistry

Glycoinformatics is a small but growing branch of bioinformatics and chemoinformatics. Various resources are now available that can be of use to glycobiologists, but also to chemists who work on the synthesis or analysis of carbohydrates. This article gives an overview of existing glyco-specific databases and tools, with a focus on their application to glycochemistry: Databases can provide information on candidate glycan structures for synthesis, or on glyco-enzymes that can be used to synthesize carbohydrates. Statistical analyses of glycan databases help to plan glycan synthesis experiments. 3D-Structural data of protein-carbohydrate complexes are used in targeted drug design, and tools to support glycan structure analysis aid with quality control. Specific problems of glycoinformatics compared to bioinformatics for genomics or proteomics, especially concerning integration and long-term maintenance of the existing glycan databases, are also discussed.

Is N-acetyl-D-glucosamine a rigid 4C1 chair?

Understanding microsecond-timescale dynamics is crucial to establish three-dimensional (3D) structure-activity relationships in sugars but has been intractable to experiments and simulations. As a consequence, whether arguably the most important chemical scaffold in glycobiology, N-acetyl-d-glucosamine (GlcNAc), deviates from a rigid (4)C(1) chair is unknown. Here, conformer populations and exchange kinetics were quantified from the longest aqueous carbohydrate simulations to date (0.2 ms total) of GlcNAc, four derivatives from heparan sulfate and their methylglycosides. Unmodified GlcNAc took 3-5 μs to reach a conformational equilibrium, which comprised a metastable (4)C(1) chair that underwent (4)C(1) ↔ (1)C(4) transitions at a predicted forward rate of 0.8 μs(-1) with an average (1)C(4)-chair lifetime of 3 ns. These predictions agree with high-resolution crystallography and nuclear magnetic resonance but not with the hypothesis that GlcNAc is a rigid (4)C(1) chair, concluded from previous experimental analyses and non-aqueous modeling. The methylglycoside was calculated to have a slower forward rate (0.3 μs(-1)) and a more stable (4)C(1) conformer (0.2 kcal mol(-1)), suggesting that pivotal 3D intermediates (particularly (2)S(O), (1)S(5) and B(2,5)) increased in energy, and water was implicated as a major cause. Sulfonation (N-, 3-O and 6-O) significantly augmented this effect by blocking pseudorotation, but did not alter the rotational preferences of hydroyxl or hydroxymethyl groups. We therefore propose that GlcNAc undergoes puckering exchange that is dependent on polymerization and sulfo substituents. Our analyses, and 3D model of the equilibrium GlcNAc conformer in water, can be used as dictionary data and present new opportunities to rationally modify puckering and carbohydrate bioactivity, with diverse applications from improving crop yields to disease amelioration.

Lipo-chitooligosaccharide signaling in endosymbiotic plant-microbe interactions

The arbuscular mycorrhizal (AM) and the rhizobia-legume (RL) root endosymbioses are established as a result of signal exchange in which there is mutual recognition of diffusible signals produced by plant and microbial partners. It was discovered 20 years ago that the key symbiotic signals produced by rhizobial bacteria are lipo-chitooligosaccharides (LCO), called Nod factors. These LCO are perceived via lysin-motif (LysM) receptors and activate a signaling pathway called the common symbiotic pathway (CSP), which controls both the RL and the AM symbioses. Recent work has established that an AM fungus, Glomus intraradices, also produces LCO that activate the CSP, leading to induction of gene expression and root branching in Medicago truncatula. These Myc-LCO also stimulate mycorrhization in diverse plants. In addition, work on the nonlegume Parasponia andersonii has shown that a LysM receptor is required for both successful mycorrhization and nodulation. Together these studies show that structurally related signals and the LysM receptor family are key components of both nodulation and mycorrhization. LysM receptors are also involved in the perception of chitooligosaccharides (CO), which are derived from fungal cell walls and elicit defense responses and resistance to pathogens in diverse plants. The discovery of Myc-LCO and a LysM receptor required for the AM symbiosis, therefore, not only raises questions of how legume plants discriminate fungal and bacterial endosymbionts but also, more generally, of how plants discriminate endosymbionts from pathogenic microorganisms using structurally related LCO and CO signals and of how these perception mechanisms have evolved.