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The application of next generation sequencing to profile microbe related cheese quality defects

机译:下一代测序技术在微生物相关干酪质量缺陷分析中的应用

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摘要

High throughput next generation sequencing, together with advanced molecular methods, has considerably enhanced the field of food microbiology. By overcoming biases associated with culture dependant approaches, it has become possible to achieve novel insights into the nature of food-borne microbial communities. In this thesis, several different sequencing-based approaches were applied with a view to better understanding microbe associated quality defects in cheese. Initially, a literature review provides an overview of microbe-associated cheese quality defects as well as molecular methods for profiling complex microbial communities. Following this, 16S rRNA sequencing revealed temporal and spatial differences in microbial composition due to the time during the production day that specific commercial cheeses were manufactured. A novel Ion PGM sequencing approach, focusing on decarboxylase genes rather than 16S rRNA genes, was then successfully employed to profile the biogenic amine producing cohort of a series of artisanal cheeses. Investigations into the phenomenon of cheese pinking formed the basis of a joint 16S rRNA and whole genome shotgun sequencing approach, leading to the identification of Thermus species and, more specifically, the pathway involved in production of lycopene, a red coloured carotenoid. Finally, using a more traditional approach, the effect of addition of a facultatively heterofermentative Lactobacillus (Lactobacillus casei) to a Swiss-type cheese, in which starter activity was compromised, was investigated from the perspective of its ability to promote gas defects and irregular eye formation. X-ray computed tomography was used to visualise, using a non-destructive method, the consequences of the undesirable gas formation that resulted. Ultimately this thesis has demonstrated that the application of molecular techniques, such as next generation sequencing, can provide a detailed insight into defect-causing microbial populations present and thereby may underpin approaches to optimise the quality and consistency of a wide variety of cheeses.
机译:高通量的下一代测序,再加上先进的分子方法,大大增强了食品微生物学领域。通过克服与依赖文化的方法相关的偏见,对食源性微生物群落的性质获得新颖见解成为可能。为了更好地理解奶酪中微生物相关的质量缺陷,本文采用了几种不同的基于测序的方法。最初,文献综述提供了与微生物相关的奶酪质量缺陷的概述,以及概述复杂微生物群落的分子方法。此后,由于在生产当天生产特定商业奶酪的时间,16S rRNA测序揭示了微生物组成的时间和空间差异。然后,成功地采用了一种新的离子PGM测序方法,其重点是脱羧酶基因而不是16S rRNA基因,从而对一系列手工奶酪的生物胺产生队列进行了分析。对干酪变粉现象的研究形成了联合16S rRNA和全基因组shot弹枪测序方法的基础,从而鉴定了Thermus菌种,更具体地讲,涉及了番茄红素(一种红色的类胡萝卜素)的生产途径。最后,从更能促进气体缺陷和眼睛不规则的角度出发,研究了使用一种更传统的方法,在一种瑞士奶酪中添加了兼性的异发酵乳杆菌(干酪乳杆菌),这种奶酪的发酵剂活性受到损害。编队。 X射线计算机断层摄影术使用一种非破坏性方法来可视化由此产生的不良气体形成的后果。最终,本文证明了分子技术的应用,例如下一代测序,可以提供对存在的导致缺陷的微生物种群的详细了解,从而可以为优化各种奶酪的质量和一致性提供基础。

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    OSullivan Daniel;

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  • 年度 2015
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