Omics-driven bioinformatics for plant lectins discovery and functional annotation – A comprehensive review

• Published in: International journal of biological macromolecules Vol. 279; no. Pt 4; p. 135511
• Main Authors: da Silva, Ruana Carolina Cabral, Roldan-Filho, Ricardo Salas, de Luna-Aragão, Madson Allan, de Oliveira Silva, Roberta Lane, Ferreira-Neto, José Ribamar Costa, da Silva, Manassés Daniel, Benko-Iseppon, Ana Maria
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.11.2024
• Subjects: Applications; Classification; Function; Lectin-like, characterization; Function; Lectin-like, characterization; Applications; Classification
• ISSN: 0141-8130; 1879-0003; 1879-0003
• DOI: 10.1016/j.ijbiomac.2024.135511

Lectins are known for their specific and reversible binding capacity to carbohydrates. These molecules have been particularly explored in plants due to their reported properties, highlighting antimicrobial, antiviral, anticancer, antiparasitic, insecticidal, and immunoregulatory actions. The increasing availability of lectin and lectin-like sequences in omics data banks provides an opportunity to identify important candidates, inferring their roles in essential signaling pathways and processes in plants. Bioinformatics enables a fast and low-cost scenario for elucidating sequences and predicting functions in the lectinology universe. Thus, this review addresses the state of the art of annotation, structural characterization, classification, and predicted applications of plant lectins. Their allergenic and toxic properties are also discussed, as well as tools for predicting such effects from the primary structure. This review uncovers a promising scenario for plant lectins and new study possibilities, particularly for studies in lectinology in the omics era.