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Genome-wide analysis of lectins in cyanobacteria: from evolutionary mode to motif patterns

Lectins are glycoproteins that can bind to specific carbohydrates, and different lectin families exhibit different biological activities. They are also present in the cyanobacteria and many of them have shown excellent therapeutic effect, which deserve for bioprospecting. However, in comparison to t...

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Autores principales: Xu, Tongli, Cui, Yulin, Qin, Song, Wang, Yin-Chu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655256/
https://www.ncbi.nlm.nih.gov/pubmed/37974077
http://dx.doi.org/10.1186/s12864-023-09790-8
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author Xu, Tongli
Cui, Yulin
Qin, Song
Wang, Yin-Chu
author_facet Xu, Tongli
Cui, Yulin
Qin, Song
Wang, Yin-Chu
author_sort Xu, Tongli
collection PubMed
description Lectins are glycoproteins that can bind to specific carbohydrates, and different lectin families exhibit different biological activities. They are also present in the cyanobacteria and many of them have shown excellent therapeutic effect, which deserve for bioprospecting. However, in comparison to those from terrestrial plants, the current knowledge on cyanobacterial lectins is very limited. To this end, genome-wide analyses were performed to find out their evolutionary mode and motif patterns in 316 genomes of representative taxa. In results, 196 putative cyanobacterial lectins were dig out and 105 of them were classified into known families. Seven lectins were found to be belonged to distinct two lectin families, and they may have the potential activities of both lectin families. Whereas no MFP-2, Chitin, and Nictaba family lectins were found. What’s more, the Legume lectin-like lectin family was found to be the richest and most complex in cyanobacteria, which could be a main research direction for future cyanobacterial lectin bioprospecting and development. Our classification and prediction of cyanobacteria lectins is expected to provide assistance in the development of lectin-based medicine and provide solutions to the current thorny viral and tumor diseases in humans. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09790-8.
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spelling pubmed-106552562023-11-16 Genome-wide analysis of lectins in cyanobacteria: from evolutionary mode to motif patterns Xu, Tongli Cui, Yulin Qin, Song Wang, Yin-Chu BMC Genomics Research Lectins are glycoproteins that can bind to specific carbohydrates, and different lectin families exhibit different biological activities. They are also present in the cyanobacteria and many of them have shown excellent therapeutic effect, which deserve for bioprospecting. However, in comparison to those from terrestrial plants, the current knowledge on cyanobacterial lectins is very limited. To this end, genome-wide analyses were performed to find out their evolutionary mode and motif patterns in 316 genomes of representative taxa. In results, 196 putative cyanobacterial lectins were dig out and 105 of them were classified into known families. Seven lectins were found to be belonged to distinct two lectin families, and they may have the potential activities of both lectin families. Whereas no MFP-2, Chitin, and Nictaba family lectins were found. What’s more, the Legume lectin-like lectin family was found to be the richest and most complex in cyanobacteria, which could be a main research direction for future cyanobacterial lectin bioprospecting and development. Our classification and prediction of cyanobacteria lectins is expected to provide assistance in the development of lectin-based medicine and provide solutions to the current thorny viral and tumor diseases in humans. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09790-8. BioMed Central 2023-11-16 /pmc/articles/PMC10655256/ /pubmed/37974077 http://dx.doi.org/10.1186/s12864-023-09790-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Xu, Tongli
Cui, Yulin
Qin, Song
Wang, Yin-Chu
Genome-wide analysis of lectins in cyanobacteria: from evolutionary mode to motif patterns
title Genome-wide analysis of lectins in cyanobacteria: from evolutionary mode to motif patterns
title_full Genome-wide analysis of lectins in cyanobacteria: from evolutionary mode to motif patterns
title_fullStr Genome-wide analysis of lectins in cyanobacteria: from evolutionary mode to motif patterns
title_full_unstemmed Genome-wide analysis of lectins in cyanobacteria: from evolutionary mode to motif patterns
title_short Genome-wide analysis of lectins in cyanobacteria: from evolutionary mode to motif patterns
title_sort genome-wide analysis of lectins in cyanobacteria: from evolutionary mode to motif patterns
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655256/
https://www.ncbi.nlm.nih.gov/pubmed/37974077
http://dx.doi.org/10.1186/s12864-023-09790-8
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