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

Autor: da Silva RCC; Bioscience Centre, Genetics Department, Universidade Federal de Pernambuco, Recife 50670-420, Brazil. Electronic address: ruana.carolina@ufpe.br., Roldan-Filho RS; Bioscience Centre, Genetics Department, Universidade Federal de Pernambuco, Recife 50670-420, Brazil. Electronic address: ricardo.salasroldan@ufpe.br., de Luna-Aragão MA; Bioscience Centre, Genetics Department, Universidade Federal de Pernambuco, Recife 50670-420, Brazil. Electronic address: madsondeluna@ufmg.br., de Oliveira Silva RL; General Microbiology Laboratory, Agricultural Science Campus, Universidade Federal do Vale do São Francisco, Petrolina 56300-990, Brazil. Electronic address: roberta.lane@univasf.edu.br., Ferreira-Neto JRC; Bioscience Centre, Genetics Department, Universidade Federal de Pernambuco, Recife 50670-420, Brazil. Electronic address: joseribamar.ferreiraneto@ufpe.br., da Silva MD; Bioscience Centre, Genetics Department, Universidade Federal de Pernambuco, Recife 50670-420, Brazil. Electronic address: manasses.dsilva@ufpe.br., Benko-Iseppon AM; Bioscience Centre, Genetics Department, Universidade Federal de Pernambuco, Recife 50670-420, Brazil. Electronic address: ana.iseppon@ufpe.br.
Jazyk: angličtina
Zdroj: International journal of biological macromolecules [Int J Biol Macromol] 2024 Nov; Vol. 279 (Pt 4), pp. 135511. Date of Electronic Publication: 2024 Sep 10.
DOI: 10.1016/j.ijbiomac.2024.135511
Abstrakt: 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.
Competing Interests: Declaration of competing interest The authors declare they have no conflict of interest that could be perceived as prejudicial to the impartiality of the reported research.
(Copyright © 2024 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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