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一种代谢物基因组学方法揭示了从亚马逊保护区分离出的细菌尚未被探索的生物合成潜力。

A metabologenomics approach reveals the unexplored biosynthetic potential of bacteria isolated from an Amazon Conservation Unit.

作者信息

de Oliveira Ana Carolina Favacho Miranda, Vieira Bruna Domingues, de Felício Rafael, Silva Lucas da Silva E, Veras Adonney Allan de Oliveira, Graças Diego Assis das, Silva Artur, Azevedo Baraúna Rafael, Barretto Barbosa Trivella Daniela, Schneider Maria Paula Cruz

机构信息

Biological Engineering Laboratory, Innovation Space, Guamá Science and Technology Park, Belém, Pará, Brazil.

Center of Genomics and Systems Biology, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil.

出版信息

Microbiol Spectr. 2025 Jan 7;13(1):e0099624. doi: 10.1128/spectrum.00996-24. Epub 2024 Dec 10.

DOI:10.1128/spectrum.00996-24
PMID:39656018
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11705897/
Abstract

The Amazon, an important biodiversity hotspot, remains poorly explored in terms of its microbial diversity and biotechnological potential. The present study characterized the metabolic potential of Gram-positive strains of the Actinomycetes and Bacilli classes isolated from soil samples of an Amazon Conservation Unit. The sequencing of the 16S rRNA gene classified the strains ACT015, ACT016, and FIR094 within the genera , , and , respectively. Genome mining identified 33, 17, and 14 biosynthetic gene clusters (BGCs) in these strains, including pathways for the biosynthesis of antibiotic and antitumor agents. Additionally, 40 BGCs (62,5% of the total BGCs) were related to unknown metabolites. The OSMAC approach and untargeted metabolomics analysis revealed a plethora of metabolites under laboratory conditions, underscoring the untapped chemical diversity and biotechnological potential of these isolates. Our findings illustrated the efficacy of the metabologenomics approach in elucidating secondary metabolism and selecting BGCs with chemical novelty.IMPORTANCEThe largest rainforest in the world is globally recognized for its biodiversity. However, until now, few studies have been conducted to prospect natural products from the Amazon microbiome. In this work, we isolated three free-living bacterial species from the microbiome of pristine soils and used two high-throughput technologies to reveal the vast unexplored repertoire of secondary metabolites produced by these microorganisms.

摘要

亚马逊地区是一个重要的生物多样性热点地区,但其微生物多样性和生物技术潜力仍未得到充分探索。本研究对从亚马逊一个保护单位的土壤样本中分离出的放线菌纲和芽孢杆菌纲革兰氏阳性菌株的代谢潜力进行了表征。16S rRNA基因测序将菌株ACT015、ACT016和FIR094分别归类于 、 和 属。基因组挖掘在这些菌株中鉴定出33个、17个和14个生物合成基因簇(BGC),包括抗生素和抗肿瘤药物的生物合成途径。此外,40个BGC(占总BGC的62.5%)与未知代谢物有关。OSMAC方法和非靶向代谢组学分析揭示了实验室条件下大量的代谢物,突出了这些分离物未开发的化学多样性和生物技术潜力。我们的研究结果说明了代谢基因组学方法在阐明次级代谢和选择具有化学新颖性的BGC方面的有效性。重要性世界上最大雨林因其生物多样性而在全球范围内得到认可。然而,到目前为止,很少有研究从亚马逊微生物群中探寻天然产物。在这项工作中,我们从原始土壤的微生物群中分离出三种自由生活的细菌物种,并使用两种高通量技术揭示了这些微生物产生的大量未被探索的次级代谢产物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/13528e2e2b0c/spectrum.00996-24.f009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/58b85101ab01/spectrum.00996-24.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/e69dccc9c49c/spectrum.00996-24.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/de6687daef41/spectrum.00996-24.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/5ad0090d5d9e/spectrum.00996-24.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/6ef7f58309fc/spectrum.00996-24.f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/a2e25464ac9e/spectrum.00996-24.f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/3fcaf8afd8dd/spectrum.00996-24.f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/6477b49c11f6/spectrum.00996-24.f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/13528e2e2b0c/spectrum.00996-24.f009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/58b85101ab01/spectrum.00996-24.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/e69dccc9c49c/spectrum.00996-24.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/de6687daef41/spectrum.00996-24.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/5ad0090d5d9e/spectrum.00996-24.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/6ef7f58309fc/spectrum.00996-24.f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/a2e25464ac9e/spectrum.00996-24.f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/3fcaf8afd8dd/spectrum.00996-24.f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/6477b49c11f6/spectrum.00996-24.f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a9/11705897/13528e2e2b0c/spectrum.00996-24.f009.jpg

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