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用于嗜热和中温厌氧消化中微生物群落变化分析的变性梯度凝胶电泳方法

Denaturing Gradient Gel Electrophoresis Approach for Microbial Shift Analysis in Thermophilic and Mesophilic Anaerobic Digestions.

作者信息

Pandey Pramod, Chowdhury Dhrubajyoti, Wang Yi

机构信息

Department of Population Health and Reproduction, University of California-Davis, Davis, CA 95616, USA.

Department of Life Sciences, School of Science, Gandhi Institute of Technology and Management, Rushikonda, Visakhapatnam 530045, Andhra Pradesh, India.

出版信息

Gels. 2024 May 16;10(5):339. doi: 10.3390/gels10050339.

DOI:10.3390/gels10050339
PMID:38786256
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11120850/
Abstract

To determine the evolution of microbial community and microbial shift under anaerobic processes, this study investigates the use of denaturing gradient gel electrophoresis (DGGE). In the DGGE, short- and medium-sized DNA fragments are separated based on their melting characteristics, and this technique is used in this study to understand the dominant bacterial community in mesophilic and thermophilic anaerobic digestion processes. Dairy manure is known for emitting greenhouse gases (GHGs) such as methane, and GHG emissions from manure is a biological process that is largely dependent on the manure conditions, microbial community presence in manure, and their functions. Additional efforts are needed to understand the GHG emissions from manure and develop control strategies to minimize the biological GHG emissions from manure. To study the microbial shift during anaerobic processes responsible for GHG emission, we conducted a series of manure anaerobic digestion experiments, and these experiments were conducted in lab-scale reactors operated under various temperature conditions (28 °C, 36 °C, 44 °C, and 52 °C). We examined the third variable region (V3) of the 16S rRNA gene fingerprints of bacterial presence in anaerobic environment by PCR amplification and DGGE separation. Results showed that bacterial community was affected by the temperature conditions and anaerobic incubation time of manure. The microbial community structure of the original manure changed over time during anaerobic processes, and the community composition changed substantially with the temperature of the anaerobic process. At Day 0, the sequence similarity confirmed that most of the bacteria were similar (>95%) to sp. (strain: ATCC 31012), a Gram-negative bacteria, regardless of temperature conditions. At day 7, the sequence similarity of DNA fragments of reactors (28 °C) was similar to sp.; however, the DNA fragments of effluent of reactors at 44 °C and 52 °C were similar to (strain: DSM 5265) (similarity: 97%) and (strain: DSM 16624) (similarity: 100%), respectively. At day 60, the analysis showed that DNA fragments of effluent of 28 °C reactor were similar to (strain: NBRC 10162) (similarity: 87%), and DNA fragments of effluent of 36 °C reactors were similar to (strain: GB8-1) (similarity: 91%). In reactors with a relatively higher temperature, the DNA fragments of effluent of 44 °C reactor were similar to (strain: JC13) (similarity: 86%), and the DNA fragments of effluent of 52 °C reactor were similar to (strain: DSM 5265) (similarity: 99%). To authors' knowledge, this is one of the few studies where DGGE-based approach is utilized to study and compare microbial shifts under mesophilic and thermophilic anaerobic digestions of manure simultaneously. While there were challenges in identifying the bands during gradient gel electrophoresis, the joint use of DGGE and sequencing tool can be potentially useful for illustrating and comparing the change in microbial community structure under complex anaerobic processes and functionality of microbes for understanding the consequential GHG emissions from manure.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e21/11120850/7c1131e477ac/gels-10-00339-g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e21/11120850/7c1131e477ac/gels-10-00339-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e21/11120850/4025be11429e/gels-10-00339-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e21/11120850/a39b438d03d8/gels-10-00339-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e21/11120850/2e132ac8e8cb/gels-10-00339-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e21/11120850/7c1131e477ac/gels-10-00339-g006.jpg
摘要

为了确定厌氧过程中微生物群落的演变和微生物转移,本研究调查了变性梯度凝胶电泳(DGGE)的应用。在DGGE中,短片段和中等大小的DNA片段根据其解链特性进行分离,本研究使用该技术来了解中温及高温厌氧消化过程中的优势细菌群落。乳牛粪以排放甲烷等温室气体(GHG)而闻名,粪便中的温室气体排放是一个生物学过程,很大程度上取决于粪便状况、粪便中微生物群落的存在及其功能。需要进一步努力来了解粪便中的温室气体排放,并制定控制策略以尽量减少粪便中的生物温室气体排放。为了研究负责温室气体排放的厌氧过程中的微生物转移,我们进行了一系列粪便厌氧消化实验,这些实验在实验室规模的反应器中进行,反应器在不同温度条件(28℃、36℃、44℃和52℃)下运行。我们通过PCR扩增和DGGE分离检查了厌氧环境中细菌存在的16S rRNA基因指纹的第三个可变区(V3)。结果表明,细菌群落受粪便的温度条件和厌氧培养时间的影响。原始粪便的微生物群落结构在厌氧过程中随时间发生变化,群落组成随厌氧过程的温度而发生显著变化。在第0天,序列相似性证实,无论温度条件如何,大多数细菌与一种革兰氏阴性菌sp.(菌株:ATCC 31012)相似(>95%)。在第7天,28℃反应器的DNA片段序列相似性与sp.相似;然而,44℃和52℃反应器流出物的DNA片段分别与(菌株:DSM 5265)(相似性:97%)和(菌株:DSM 16624)(相似性:100%)相似。在第60天,分析表明,28℃反应器流出物的DNA片段与(菌株:NBRC 10162)(相似性:87%)相似,36℃反应器流出物的DNA片段与(菌株:GB8-1)(相似性:91%)相似。在温度相对较高的反应器中,44℃反应器流出物的DNA片段与(菌株:JC13)(相似性:86%)相似,52℃反应器流出物的DNA片段与(菌株:DSM 5265)(相似性:99%)相似。据作者所知,这是少数几项同时利用基于DGGE的方法研究和比较中温和高温厌氧消化粪便过程中微生物转移的研究之一。虽然在梯度凝胶电泳过程中识别条带存在挑战,但DGGE和测序工具的联合使用可能有助于说明和比较复杂厌氧过程中微生物群落结构变化以及微生物功能,以了解粪便产生的相应温室气体排放。

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PCR-DGGE Analysis Proves the Suppression of and Root Rot Due to Successive Inoculations.聚合酶链式反应-变性梯度凝胶电泳分析证明连续接种可抑制[具体植物名称1]和[具体植物名称2]根腐病。
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