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蓝藻凝集素的全基因组分析:从进化模式到基序模式。

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

机构信息

Shandong University of Traditional Chinese Medicine, Jinan, 250335, China.

Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China.

出版信息

BMC Genomics. 2023 Nov 16;24(1):688. doi: 10.1186/s12864-023-09790-8.

DOI:10.1186/s12864-023-09790-8
PMID:37974077
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10655256/
Abstract

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.

摘要

凝集素是能够与特定碳水化合物结合的糖蛋白,不同的凝集素家族表现出不同的生物学活性。它们也存在于蓝细菌中,其中许多具有出色的治疗效果,值得进行生物勘探。然而,与陆地植物中的凝集素相比,目前对蓝细菌凝集素的了解非常有限。为此,对 316 个代表性分类群的 316 个基因组进行了全基因组分析,以了解它们的进化模式和基序模式。结果,挖掘出 196 种假定的蓝细菌凝集素,其中 105 种被归类为已知家族。发现 7 种凝集素属于两个不同的凝集素家族,它们可能具有两个凝集素家族的潜在活性。而没有发现 MFP-2、几丁质和 Nictaba 家族凝集素。更重要的是,在蓝细菌中发现豆科植物凝集素样凝集素家族最为丰富和复杂,这可能是未来蓝细菌凝集素生物勘探和开发的主要研究方向。我们对蓝细菌凝集素的分类和预测有望为基于凝集素的医学的发展提供帮助,并为人类目前棘手的病毒和肿瘤疾病提供解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e3e/10655256/7dbda8316b91/12864_2023_9790_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e3e/10655256/260b0814ec7a/12864_2023_9790_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e3e/10655256/68d4e895d657/12864_2023_9790_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e3e/10655256/7dbda8316b91/12864_2023_9790_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e3e/10655256/260b0814ec7a/12864_2023_9790_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e3e/10655256/68d4e895d657/12864_2023_9790_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e3e/10655256/7dbda8316b91/12864_2023_9790_Fig3_HTML.jpg

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本文引用的文献

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Engineering recombinantly expressed lectin-based antiviral agents.工程重组表达基于凝集素的抗病毒剂。
Front Cell Infect Microbiol. 2022 Sep 23;12:990875. doi: 10.3389/fcimb.2022.990875. eCollection 2022.
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Plant lectin: A promising future anti-tumor drug.植物凝集素:一种有前途的抗肿瘤药物。
Biochimie. 2022 Nov;202:136-145. doi: 10.1016/j.biochi.2022.08.002. Epub 2022 Aug 8.
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Abstracts of Presentations at the Association of Clinical Scientists 143 Meeting Louisville, KY May 11-14,2022.临床科学家协会第143届会议报告摘要,肯塔基州路易斯维尔,2022年5月11日至14日。
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Algal and Cyanobacterial Lectins and Their Antimicrobial Properties.藻类和蓝藻凝集素及其抗菌特性。
Mar Drugs. 2021 Dec 1;19(12):687. doi: 10.3390/md19120687.
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Antiviral Cyanometabolites-A Review.抗病毒蓝细菌代谢产物——综述
Biomolecules. 2021 Mar 22;11(3):474. doi: 10.3390/biom11030474.
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LectomeXplore, an update of UniLectin for the discovery of carbohydrate-binding proteins based on a new lectin classification.LectomeXplore,是 UniLectin 的更新版本,用于基于新的凝集素分类发现糖结合蛋白。
Nucleic Acids Res. 2021 Jan 8;49(D1):D1548-D1554. doi: 10.1093/nar/gkaa1019.
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Structure and anticancer activity of a new lectin from the cultivated red alga, Kappaphycus striatus.一种新型凝集素的结构和抗癌活性,该凝集素来自栽培红藻,石花菜。
J Nat Med. 2021 Jan;75(1):223-231. doi: 10.1007/s11418-020-01455-0. Epub 2020 Oct 6.
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IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era.IQ-TREE 2:基因组时代系统发育推断的新模型和有效方法。
Mol Biol Evol. 2020 May 1;37(5):1530-1534. doi: 10.1093/molbev/msaa015.
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Mar Drugs. 2019 Oct 6;17(10):567. doi: 10.3390/md17100567.
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