目标组合恢复滩涂间带高氨单加氧酶多样性。

IF 4.6 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-09-24 DOI:10.1128/msystems.00620-25
Mengqi Wang, Wen Song, Jiayin Zhou, Mengzhi Ji, Kai Ma, Yan Li, Qichao Tu
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引用次数: 0

摘要

地球生物圈中的微生物群落通过其携带的功能基因介导各种生物地球化学循环过程,这些过程对维持生态系统的多功能和稳定性至关重要。尽管取得了进展,但在复杂环境中获得高质量的微生物功能基因序列数据集仍然具有挑战性,无论是在技术上还是在所需的计算资源方面。本研究以编码氨单加氧酶的amo基因家族为例,旨在通过靶向组装的方式从霰弹枪宏基因组中恢复重要的微生物功能基因。与传统的单样本和多样本组装方法相比,靶向组装方法恢复了更高的amo基因多样性,同时所需的计算资源和运行时间也大大减少。此外,通过靶向组装恢复的amo基因嵌合体较少。同时,发现了更多的amo操纵子。不仅观察到常见的amoABC亚基,而且还观察到不太常见的亚基,如amoX和amoE。值得注意的是,通过靶向组装恢复的古细菌amoA亚基代表了氨单加氧酶的最多“超级分支”,包括NT-α, NT-γ, NP-γ, NP-ζ和NP-η,表明靶向组装优于传统方法。可比较的空间格局,如类群-面积和距离衰减关系,也观察到恢复的amo组合。本研究展示了一种以最小的计算资源和运行时间从散弹枪宏基因组中恢复微生物功能基因的有效途径。微生物群落在地球生物圈中发挥着至关重要的作用,通过其携带的功能基因介导各种基本元素的生物地球化学循环,维持生态系统的稳定和多功能。然而,从如此复杂的群落中恢复关键功能基因仍然具有挑战性。不同的技术都有各自的优点和局限性。在本研究中,以amo基因家族为例,我们表明靶向组装可以准确、快速地从霰弹枪宏基因组中恢复高质量的amo序列,消耗最小的计算资源和运行时间。与传统的全组装方法相比,通过靶向组装恢复的amo序列具有更多的操纵子,更高的(门)遗传多样性和更少的嵌合体。本研究为微生物功能基因的恢复提供了一种有效的替代途径,特别是在计算资源有限的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Targeted assembly recovers high ammonia monooxygenase diversity in mudflat intertides.

Microbial communities in the Earth's biosphere mediate various biogeochemical cycling processes that are essential to maintain ecosystem multi-functioning and stability via the functional genes they carry. Although progress is being made, obtaining high-quality sequence data sets for microbial functional genes in complex environments remains challenging, both technically and in terms of computational resources required. In this study, using the amo gene family encoding ammonia monooxygenase as an example, we aimed to recover important microbial functional genes from shotgun metagenomes via targeted assembly. Comparing to conventional assembly approaches such as single-sample and multi-sample assembly, targeted assembly recovered much higher amo gene diversity while requiring substantially less computational resource and shorter running time. In addition, amo genes recovered by targeted assembly were found with fewer chimeras. Meanwhile, more amo operons were recovered. Not only were the commonly known amoABC subunits observed, but also the less commonly found subunits, like amoX and amoE. Notably, the archaeal amoA subunits recovered by targeted assembly represented the most "super-clades" for ammonia monooxygenase, including NT-α, NT-γ, NP-γ, NP-ζ, and NP-η, demonstrating the advantage of targeted assembly over conventional approaches. Comparable spatial patterns, such as taxa-area and distance-decay relationships, were also observed for the recovered amo assemblages. This study demonstrated an efficient route to recover microbial functional genes from shotgun metagenomes with minimal computational resource and running time.IMPORTANCEMicrobial communities play critical roles in the Earth's biosphere by mediating various biogeochemical cycles of essential elements and maintaining ecosystem stability and multi-functioning through the functional genes they carry. However, recovering the key functional genes from such complex communities remains challenging. Both advantages and limitations exist for different technologies. In this study, using the amo gene family as an example, we show that targeted assembly enables accurate and rapid recovery of high-quality amo sequences from shotgun metagenomes, consuming minimal computational resources and running time. Compared to conventional full-assembly approaches, the amo sequences recovered by targeted assembly are found with more operons, higher (phylo)genetic diversity, and fewer chimeras. This study provides an efficient alternative route for recovering microbial functional genes, particularly when computational resources are limited.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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