Variability in n-caprylate and n-caproate producing microbiomes in reactors with in-line product extraction.

IF 5 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2024-08-20 Epub Date: 2024-07-11 DOI:10.1128/msystems.00416-24
Catherine M Spirito, Timo N Lucas, Sascha Patz, Byoung Seung Jeon, Jeffrey J Werner, Lauren H Trondsen, Juan J Guzman, Daniel H Huson, Largus T Angenent
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引用次数: 0

Abstract

Medium-chain carboxylates (MCCs) are used in various industrial applications. These chemicals are typically extracted from palm oil, which is deemed not sustainable. Recent research has focused on microbial chain elongation using reactors to produce MCCs, such as n-caproate (C6) and n-caprylate (C8), from organic substrates such as wastes. Even though the production of n-caproate is relatively well-characterized, bacteria and metabolic pathways that are responsible for n-caprylate production are not. Here, three 5 L reactors with continuous membrane-based liquid-liquid extraction (i.e., pertraction) were fed ethanol and acetate and operated for an operating period of 234 days with different operating conditions. Metagenomic and metaproteomic analyses were employed. n-Caprylate production rates and reactor microbiomes differed between reactors even when operated similarly due to differences in H2 and O2 between the reactors. The complete reverse β-oxidation (RBOX) pathway was present and expressed by several bacterial species in the Clostridia class. Several Oscillibacter spp., including Oscillibacter valericigenes, were positively correlated with n-caprylate production rates, while Clostridium kluyveri was positively correlated with n-caproate production. Pseudoclavibacter caeni, which is a strictly aerobic bacterium, was abundant across all the operating periods, regardless of n-caprylate production rates. This study provides insight into microbiota that are associated with n-caprylate production in open-culture reactors and provides ideas for further work.IMPORTANCEMicrobial chain elongation pathways in open-culture biotechnology systems can be utilized to convert organic waste and industrial side streams into valuable industrial chemicals. Here, we investigated the microbiota and metabolic pathways that produce medium-chain carboxylates (MCCs), including n-caproate (C6) and n-caprylate (C8), in reactors with in-line product extraction. Although the reactors in this study were operated similarly, different microbial communities dominated and were responsible for chain elongation. We found that different microbiota were responsible for n-caproate or n-caprylate production, and this can inform engineers on how to operate the systems better. We also observed which changes in operating conditions steered the production toward and away from n-caprylate, but more work is necessary to ascertain a mechanistic understanding that could be predictive. This study provides pertinent research questions for future work.

在线产品提取反应器中正辛酸酯和正己酸酯生产微生物群的变异性。
中链羧酸盐(MCCs)用于各种工业用途。这些化学品通常从棕榈油中提取,而棕榈油被认为是不可持续的。最近的研究重点是利用反应器进行微生物链延伸,从废物等有机底物中生产中链羧酸盐,如正己酸酯(C6)和正辛酸酯(C8)。尽管正己酸酯的生产已相对完善,但负责生产正辛酸酯的细菌和代谢途径还不完善。在这里,三个 5 升反应器采用基于膜的连续液液萃取(即过萃取)技术,以乙醇和醋酸盐为原料,在不同的操作条件下运行了 234 天。由于反应器之间的 H2 和 O2 存在差异,即使反应器的运行条件相似,正辛酸酯的生产率和反应器微生物群也存在差异。梭状芽孢杆菌属(Clostridia)中的多个菌种都存在并表达完整的反向β氧化(RBOX)途径。包括 Oscillibacter valericigenes 在内的几种 Oscillibacter 与正辛酸酯的生产率呈正相关,而 Clostridium kluyveri 与正己酸酯的生产率呈正相关。无论正辛酸酯的生产率如何,假裂殖杆菌(一种严格的需氧细菌)在所有操作期间都大量存在。本研究有助于深入了解开放式培养反应器中与正辛酸酯生产相关的微生物群,并为进一步的工作提供了思路。在这里,我们研究了在线产品提取反应器中产生中链羧酸盐(MCCs)(包括正己酸盐(C6)和正辛酸盐(C8))的微生物群和代谢途径。虽然本研究中的反应器操作类似,但不同的微生物群落占主导地位,并负责链的延伸。我们发现,不同的微生物群负责正己酸酯或正辛酸酯的生产,这可以为工程师提供如何更好地操作系统的信息。我们还观察到,操作条件的变化会引导正辛酸酯的生产和正辛酸酯的生产,但还需要做更多的工作,以确定可预测的机理认识。这项研究为今后的工作提供了相关的研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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