介孔海绵相关细菌次级代谢物合成的新基因簇

IF 5.7 2区 生物学
Nuo Chen, Liwei Liu, Jingxuan Wang, Deqiang Mao, Hongmei Lu, Tânia Keiko Shishido, Shuai Zhi, Hua Chen, Shan He
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引用次数: 0

摘要

中孔珊瑚生态系统(MCEs)拥有各种各样的海绵物种,它们代表了生物活性化合物的有前途的来源。越来越多的证据表明,与海绵相关的细菌可能是这些化合物的主要生产者。然而,在实验室条件下培养这些细菌仍然是一个重大挑战。为了研究介质海绵相关细菌合成生物活性化合物的丰富资源,我们从15个介质海绵中检索了429个宏基因组组装基因组(MAGs),揭示了细菌多样性与海绵物种之间的密切相关性。此外,我们在这些mag中鉴定了1637个次生代谢物生物合成基因簇(BGCs)。在鉴定的BGCs中,萜类最多(495种),其次是369种聚酮合成酶(pks), 293种核糖体合成和翻译后修饰肽(RiPPs)和135种非核糖体肽合成酶(NRPSs)。根据序列相似性将BGCs划分为1086个基因簇家族(gcf)。值得注意的是,只有5个gcf包含了生物合成基因集群数据库(MIBiG)中经过实验验证的参考bgc。此外,在构造微生物门的内毒素(Entotheonella sp.) (s191209.Bin93)中检测到异常丰富的bgc。相比之下,变形菌门和酸杆菌门的BGCs较少(平均6-7个),但它们在MCE海绵中的高丰度表明BGCs可能丰富。BGC分布模式分析显示,BGC子集包括萜烯GCF (FAM_00447和FAM_01046)、PKS GCF (FAM_00235)和RiPPs GCF (FAM_01143)在中厚海绵中广泛存在。此外,32个gcf在不同海绵的相同MAGs中一致存在,突出了它们潜在的关键生物学作用和产生新型生物活性化合物的能力。这项研究不仅强调了介孔海绵相关细菌作为生物活性化合物来源的未开发潜力,而且为海绵与其共生微生物群落之间复杂的相互作用提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Novel Gene Clusters for Secondary Metabolite Synthesis in Mesophotic Sponge-Associated Bacteria

Novel Gene Clusters for Secondary Metabolite Synthesis in Mesophotic Sponge-Associated Bacteria

Mesophotic coral ecosystems (MCEs) host a diverse array of sponge species, which represent a promising source of bioactive compounds. Increasing evidence suggests that sponge-associated bacteria may be the primary producers of these compounds. However, cultivating these bacteria under laboratory conditions remains a significant challenge. To investigate the rich resource of bioactive compounds synthesised by mesophotic sponge-associated bacteria, we retrieved 429 metagenome-assembled genomes (MAGs) from 15 mesophotic sponges, revealing a strong correlation between bacterial diversity and sponge species. Furthermore, we identified 1637 secondary metabolite biosynthetic gene clusters (BGCs) within these MAGs. Among the identified BGCs, terpenes were the most abundant (495), followed by 369 polyketide synthases (PKSs), 293 ribosomally synthesised and post-translationally modified peptides (RiPPs) and 135 nonribosomal peptide synthetases (NRPSs). The BGCs were classified into 1086 gene cluster families (GCFs) based on sequence similarity. Notably, only five GCFs included experimentally validated reference BGCs from the Minimum Information about a Biosynthetic Gene cluster database (MIBiG). Additionally, an unusual abundance of BGCs was detected in Entotheonella sp. (s191209.Bin93) from the Tectomicrobia phylum. In contrast, members of Proteobacteria and Acidobacteriota harboured fewer BGCs (6–7 on average), yet their high abundance in MCE sponges suggests a potentially rich reservoir of BGCs. Analysis of the BGC distribution patterns revealed that a subset of BGCs, including terpene GCFs (FAM_00447 and FAM_01046), PKS GCF (FAM_00235), and RiPPs GCF (FAM_01143), were widespread across mesophotic sponges. Furthermore, 32 GCFs were consistently present in the same MAGs across different sponges, highlighting their potential key biological roles and capacity to yield novel bioactive compounds. This study not only underscores the untapped potential of mesophotic sponge-associated bacteria as a source of bioactive compounds but also provides valuable insights into the intricate interactions between sponges and their symbiotic microbial communities.

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来源期刊
Microbial Biotechnology
Microbial Biotechnology Immunology and Microbiology-Applied Microbiology and Biotechnology
CiteScore
11.20
自引率
3.50%
发文量
162
审稿时长
1 months
期刊介绍: Microbial Biotechnology publishes papers of original research reporting significant advances in any aspect of microbial applications, including, but not limited to biotechnologies related to: Green chemistry; Primary metabolites; Food, beverages and supplements; Secondary metabolites and natural products; Pharmaceuticals; Diagnostics; Agriculture; Bioenergy; Biomining, including oil recovery and processing; Bioremediation; Biopolymers, biomaterials; Bionanotechnology; Biosurfactants and bioemulsifiers; Compatible solutes and bioprotectants; Biosensors, monitoring systems, quantitative microbial risk assessment; Technology development; Protein engineering; Functional genomics; Metabolic engineering; Metabolic design; Systems analysis, modelling; Process engineering; Biologically-based analytical methods; Microbially-based strategies in public health; Microbially-based strategies to influence global processes
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