内孢子形成芽孢杆菌的脱硝基因型。

IF 5.1 Q1 ECOLOGY
ISME communications Pub Date : 2024-09-04 eCollection Date: 2024-01-01 DOI:10.1093/ismeco/ycae107
Emma Bell, Jianwei Chen, William D L Richardson, Milovan Fustic, Casey R J Hubert
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引用次数: 0

摘要

反硝化作用是全球氮循环中的一个关键代谢过程,由分类学上多种多样的微生物进行。尽管这种新陈代谢具有广泛的重要性,但在识别反硝化种群并根据其基因型预测其代谢终产物方面仍然存在挑战。在此,研究人员利用基因组分辨元基因组学探索了在硝酸盐添加的高温培养条件下富集的芽孢杆菌的反硝化基因型,并确认了N2O和N2的产生。建立了一套 12 个隐马尔可夫模型(HMM),以确定芽孢杆菌门成员中反硝化基因的多样性。从硝酸盐改良的富集物中发现了五个元基因组组装的基因组具有完全反硝化的潜力,其中包括 Brevibacillaceae 家族的两个新成员。完全反硝化菌的基因组编码具有第二类 nosZ 的一氧化氮还原酶基因簇,而且通常包括一氧化氮还原酶基因的多个变体。应用基因组分类数据库中所有芽孢杆菌基因组的 HMM 集,根据基因含量推断出 17 个包含完全脱氮菌的属。在完全反硝化菌中,普遍存在三种不同的一氧化氮还原酶(qNOR、bNOR 和 sNOR),这可能反映了芽孢杆菌在氧化还原条件多变的环境中的代谢适应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Denitrification genotypes of endospore-forming Bacillota.

Denitrification is a key metabolic process in the global nitrogen cycle and is performed by taxonomically diverse microorganisms. Despite the widespread importance of this metabolism, challenges remain in identifying denitrifying populations and predicting their metabolic end-products based on their genotype. Here, genome-resolved metagenomics was used to explore the denitrification genotype of Bacillota enriched in nitrate-amended high temperature incubations with confirmed N2O and N2 production. A set of 12 hidden Markov models (HMMs) was created to target the diversity of denitrification genes in members of the phylum Bacillota. Genomic potential for complete denitrification was found in five metagenome-assembled genomes from nitrate-amended enrichments, including two novel members of the Brevibacillaceae family. Genomes of complete denitrifiers encode N2O reductase gene clusters with clade II-type nosZ and often include multiple variants of the nitric oxide reductase gene. The HMM set applied to all genomes of Bacillota from the Genome Taxonomy Database identified 17 genera inferred to contain complete denitrifiers based on their gene content. Among complete denitrifiers it was common for three distinct nitric oxide reductases to be present (qNOR, bNOR, and sNOR) that may reflect the metabolic adaptability of Bacillota in environments with variable redox conditions.

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