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Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology
RESEARCH ARTICLE

Improved detection and phylogenetic analysis of plant proteins containing LysM domains

Dardo Dallachiesa A , O. Mario Aguilar A and Mauricio J. Lozano https://orcid.org/0000-0001-5253-7182 A *
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A Instituto de Biotecnología y Biología Molecular (IBBM) – CONICET-CCT La Plata – Universidad Nacional de La Plata, La Plata, Argentina.


Handling Editor: Ulrike Mathesius

Functional Plant Biology 51, FP23131 https://doi.org/10.1071/FP23131
Submitted: 23 June 2023  Accepted: 31 October 2023  Published: 27 November 2023

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Plants perceive N-acetyl-d-glucosamine-containing oligosaccharides that play a role in the interaction with bacteria and fungi, through cell-surface receptors containing a tight bundle of three LysM domains in their extracellular region. However, the identification of LysM domains of receptor-like kinases (RLK)/receptor-like proteins (RLP) using sequence based methods has led to some ambiguity, as some proteins have been annotated with only one or two LysM domains. This missing annotation was likely produced by the failure of the LysM hidden Markov model (HMM) from the Pfam database to correctly identify some LysM domains in proteins of plant origin. In this work, we provide improved HMMs for LysM domain detection in plants, that were built from the structural alignment of manually curated LysM domain structures from the Protein Data Bank and AlphaFold Protein Structure Database. Furthermore, we evaluated different sets of ligand-specific HMMs that were able to correctly classify a limited set of fully characterised RLK/Ps by their ligand specificity. In contrast, the phylogenetic analysis of the extracellular region of RLK/Ps, or of their individual LysM domains, was unable to discriminate these proteins by their ligand specificity. The HMMs reported here will allow a more sensitive detection of plant proteins containing LysM domains and help improve their characterisation.

Keywords: biological nitrogen fixation, chitin, hidden Markov model, legumes, LysM, nod factor, receptor kinase, symbiosis.

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