利用全基因组测序、嗜冷培养和新型采样技术,北极雪的微生物组和微生物谱分析。

Journal of biomolecular techniques : JBT Pub Date : 2025-03-24 eCollection Date: 2025-04-30 DOI:10.7171/3fc1f5fe.0f37be73
Scott W Tighe, Dan L Vellone, Kirsten M Tracy, Denise B Lynch, Kris H Finstad, M C Mcllelan, Julie A Dragon
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引用次数: 0

摘要

大规模平行DNA测序的最新进展使研究人员能够研究极端环境的新领域。许多研究人员特别感兴趣的是尚未使用DNA技术全面检查的北极地区。这些微生物分析的现代方法提供了以前从未从北极样本中看到的系统生物学的新关键数据。新微生物、微生物生化途径和生物合成基因簇的发现在表征北极雪微生物组时至关重要,可以为发现有价值的生物合成基因簇提供见解。在这项研究中,使用无dna无菌技术,从格陵兰岛Ilulissat以东12公里的15个地点收集了2 L的雪。雪融化后,立即使用InnovaPrep CP样品浓缩器进行浓缩。利用Illumina和Nanopore测序以及嗜冷培养对提取物进行全基因组DNA测序。个体培养也测序,以确定全基因组的内容和物种的身份。结果显示,雪原中存在广泛的微生物群,包括细菌、酵母和真菌,在大多数位点和测序平台上,颗粒菌、甲基细菌、Nostoc、鞘单胞菌和链霉菌的丰度始终较高,而Belnapia、Chlorogloea、Hymenobacter、Mesorhizobium、Narcardioides、Pseudomonas、pseudoncardidia、Roseomonas和Solirubrobacter的丰度相对较低。积雪点的培养结果显示:假单胞菌、荧光假单胞菌群、未知的microbacteraceae sp.、Variovorax sp.、robsia andropogonis,以及低浓度的Aureobasidium sp.、Stylodothis sp.、Sphingomonas sp.、Hymenobacter sp.、Caballeronia sordidicola,以及两种未知的酵母和一种未知的细菌。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microbiome and Microbial Profiling of Arctic Snow Using Whole Genome Sequencing, Psychrophilic Culturing, and Novel Sampling Techniques.

Recent advances in massively parallel DNA sequencing have enabled researchers to study new areas of extreme environments. Of particular interest to many researchers are areas of the Arctic that have yet to be comprehensively examined using DNA techniques. These modern approaches to microbial profiling provide new critical data on systems biology not yet seen before from Arctic samples. The discovery of new microbes, microbial biochemical pathways, and biosynthetic gene clusters are critically important when characterizing the Arctic snow microbiome and can provide insights to discovering valuable biosynthetic gene clusters. In this study, 2 L of snow was collected from 15 sites 12 km east outside of Ilulissat, Greenland, using DNA-free sterile techniques. Snow was allowed to melt and immediately concentrated using the InnovaPrep CP sample concentrator. Whole genome DNA sequencing was performed on extracts using both Illumina and Nanopore sequencing as well as psychrophilic culturing. Individual cultures were also sequenced to determine whole genome content and species identity. The results showed a wide-ranging microbiome across the snow fields, including bacteria, yeast, and fungi, with Granulicella, Methylobabcterium, Nostoc, Sphingomonas, and Streptomyces being consistently detected at higher levels across the majority of sites and sequencing platforms, while Belnapia, Chlorogloea, Hymenobacter, Mesorhizobium, Narcardioides, Pseudomonas, Pseudonocardia, Roseomonas, and Solirubrobacter at comparatively lower abundances. The results of culture data for snow sites reveal Pseudomanas sp., Pseudomonas fluorescens Group, unknown Microbacteriaceae sp., Variovorax sp., Robbsia andropogonis, and low concentrations of Aureobasidium sp., Stylodothis sp., Sphingomonas sp., Hymenobacter sp., Caballeronia sordidicola, and two unknown species of yeast and one unknown species of bacteria.

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