藻类厌氧消化池内产甲烷菌群的特征。

ISRN Microbiology Pub Date : 2012-06-21 Print Date: 2012-01-01 DOI:10.5402/2012/753892
Joshua T Ellis, Cody Tramp, Ronald C Sims, Charles D Miller
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引用次数: 34

摘要

采用454焦磷酸测序技术对3785 l厌氧沼气池中产甲烷菌群的微生物多样性和代谢潜力进行了分析。从厌氧污泥材料中提取DNA,利用引物ML、MCR和ME对甲基辅酶M还原酶α亚基(mcrA)基因进行PCR扩增,用于宏基因组分析。大多数注释的mca序列在分类上归属于Methanosaeta属Methanosarcinales。Methanosaeta属产甲烷菌为专性乙酰营养菌,表明该属在发酵样品的甲烷生产中起主导作用。藻类厌氧消化池内的许多分析序列未分类,无法进行分类。测定每个引物的相对扩增频率,以确定每个引物在焦磷酸测序中的效用。与引物组ME相比,引物组ML和MCR在定量上表现更好(代表了大部分分析序列)。然而,每一组引物都被证明提供了定量独特的群落结构,因此它们在宏基因组分析中同样重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Characterization of a Methanogenic Community within an Algal Fed Anaerobic Digester.

Characterization of a Methanogenic Community within an Algal Fed Anaerobic Digester.

Characterization of a Methanogenic Community within an Algal Fed Anaerobic Digester.

Characterization of a Methanogenic Community within an Algal Fed Anaerobic Digester.

The microbial diversity and metabolic potential of a methanogenic consortium residing in a 3785-liter anaerobic digester, fed with wastewater algae, was analyzed using 454 pyrosequencing technology. DNA was extracted from anaerobic sludge material and used in metagenomic analysis through PCR amplification of the methyl-coenzyme M reductase α subunit (mcrA) gene using primer sets ML, MCR, and ME. The majority of annotated mcrA sequences were assigned taxonomically to the genera Methanosaeta in the order Methanosarcinales. Methanogens from the genus Methanosaeta are obligate acetotrophs, suggesting this genus plays a dominant role in methane production from the analyzed fermentation sample. Numerous analyzed sequences within the algae fed anaerobic digester were unclassified and could not be assigned taxonomically. Relative amplicon frequencies were determined for each primer set to determine the utility of each in pyrosequencing. Primer sets ML and MCR performed better quantitatively (representing the large majority of analyzed sequences) than primer set ME. However, each of these primer sets was shown to provide a quantitatively unique community structure, and thus they are of equal importance in mcrA metagenomic analysis.

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