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characterizing the microbial population inhabiting a solar saltern pond of the odiel marshlands (sw spain).

Characterization of the Microbial Population Inhabiting a Solar Saltern Pond of the Odiel Marshlands (SW Spain).

机构信息

Laboratory of Biochemistry and Molecular Biology, Faculty of Experimental Sciences, Marine International Campus of Excellence (CEIMAR), University of Huelva, 21071 Huelva, Spain.

出版信息

Mar Drugs. 2018 Sep 12;16(9):332. doi: 10.3390/md16090332.

Abstract

The solar salterns located in the Odiel marshlands, in southwest Spain, are an excellent example of a hypersaline environment inhabited by microbial populations specialized in thriving under conditions of high salinity, which remains poorly explored. Traditional culture-dependent taxonomic studies have usually under-estimated the biodiversity in saline environments due to the difficulties that many of these species have to grow at laboratory conditions. Here we compare two molecular methods to profile the microbial population present in the Odiel saltern hypersaline water ponds (33% salinity). On the one hand, the construction and characterization of two clone PCR amplified-16S rRNA libraries, and on the other, a high throughput 16S rRNA sequencing approach based on the Illumina MiSeq platform. The results reveal that both methods are comparable for the estimation of major genera, although massive sequencing provides more information about the less abundant ones. The obtained data indicate that is the most abundant genus, followed by the archaea genera, and . However, more than 100 additional species can be detected by Next Generation Sequencing (NGS). In addition, a preliminary study to test the biotechnological applications of this microbial population, based on its ability to produce and excrete haloenzymes, is shown.

摘要

位于西班牙西南部的奥德耶尔盐沼的太阳能盐场是高盐环境中微生物种群的一个极好范例,这些微生物种群专门在高盐条件下茁壮成长,但对其仍缺乏深入研究。由于许多这些物种在实验室条件下生长困难,传统的基于培养的分类学研究通常低估了盐环境中的生物多样性。在这里,我们比较了两种分子方法来分析奥德耶尔盐场高盐度水池塘(33%盐度)中存在的微生物种群。一方面,构建和表征了两个基于 PCR 扩增的 16S rRNA 克隆文库,另一方面,采用基于 Illumina MiSeq 平台的高通量 16S rRNA 测序方法。结果表明,这两种方法在估计主要属方面是可比的,尽管大规模测序提供了更多关于较少丰度的信息。获得的数据表明,是最丰富的属,其次是古菌属和。然而,通过下一代测序(NGS)可以检测到 100 多种其他物种。此外,还展示了一项初步研究,该研究基于这种微生物种群产生和分泌卤酶的能力,测试了其在生物技术应用方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8009/6164061/507044965eca/marinedrugs-16-00332-g001.jpg

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