首页> 外文期刊>African Journal of Biotechnology >Method optimization for denaturing gradient gel electrophoresis (DGGE) analysis of microflora from Eucalyptus sp. wood chips intended for pulping
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Method optimization for denaturing gradient gel electrophoresis (DGGE) analysis of microflora from Eucalyptus sp. wood chips intended for pulping

机译:桉树菌种的变性梯度凝胶电泳(DGGE)分析方法的优化。用于制浆的木片

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Eucalyptus is the predominant exotic wood species used in South African pulp and paper industry. Once chipped and stored in piles, the wood becomes vulnerable to microbial degradation and spontaneous combustion. The denaturing gradient gel electrophoresis (DGGE) technique was optimized for the detection of microbial diversity in the wood. Wood chips were collected and milled to different specifications. The 16S and 18S rRNA genes were amplified using 338F-GC/518R and 933F-GC/1387R for bacteria and NS26/518R-GC and EF4F/518R for fungi. Several gel gradients were examined to determine optimal separation. A comparison of DGGE profiles revealed greater diversity in the milled wood chips amplified using primer sets of 338F-GC/518R (16S) and NS26/518R-GC (18S) with gradients of 30/60% (16S) and 25/50% (18S), respectively. Once optimized, this protocol was tested against five samples to assess its applicability to wood chip samples. Profiles were generated and amplicons excised from gels, re-amplified and sequenced to determine origin of DNA. Using this technique, 18 bacterial and 12 fungal species were identified, compared to ten bacterial and nine fungal isolates which were identified using the culturing technique and standard rRNA gene sequence analysis. ?The optimised DGGE is an appropriate tool for microbial community studies of Eucalyptus wood chips.
机译:桉树是南非纸浆和造纸工业中使用的主要外来木种。一旦碎裂并堆积成堆,木材就容易受到微生物降解和自燃的影响。变性梯度凝胶电泳(DGGE)技术经过优化,可检测木材中的微生物多样性。收集木屑并研磨成不同规格。使用338F-GC / 518R和933F-GC / 1387R扩增细菌,使用NS26 / 518R-GC和EF4F / 518R扩增16S和18S rRNA基因。检查了几种凝胶梯度,以确定最佳分离。 DGGE图谱的比较显示,使用338F-GC / 518R(16S)和NS26 / 518R-GC(18S)引物对扩增的木屑切片具有更大的多样性,梯度分别为30/60%(16S)和25/50% (18S)。优化后,该协议针对五个样本进行了测试,以评估其对木片样本的适用性。产生谱图,并从凝胶上切除扩增子,再扩增并测序以确定DNA的来源。使用该技术,鉴定出18种细菌和12种真菌,相比之下,使用培养技术和标准rRNA基因序列分析鉴定出了10种细菌和9种真菌。 ?优化的DGGE是用于桉树木片微生物群落研究的合适工具。

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