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Combining Next-Generation Sequencing and Microarray Technology into a Transcriptomics Approach for the Non-Model Organism Chironomus riparius

机译:结合新一代测序和芯片技术进入了非模式生物摇riparius一个转录组学方法

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摘要

Whole-transcriptome gene-expression analyses are commonly performed in species that have a sequenced genome and for which microarrays are commercially available. To do such analyses in species with no or limited genome data, i.e. non-model organisms, necessary transcriptomics resources, i.e. an annotated transcriptome and a validated gene-expression microarray, must first be developed. The aim of the present study was to establish an advanced approach for developing transcriptomics resources for non-model organisms by combining next-generation sequencing (NGS) and microarray technology. We applied our approach to the non-biting midge Chironomus riparius, an ecologically relevant species that is widely used in sediment ecotoxicity testing. We sampled extensively covering all C. riparius developmental stages as well as toxicant exposed larvae and obtained from a normalized cDNA library 1.5 M NGS reads totalling 501 Mbp. Using the NGS data we developed transcriptomics resources in several steps. First, we designed 844 k probes directly on the NGS reads, as well as 76 k probes targeting expressed sequence tags of related species. These probes were tested for their affinity to C. riparius DNA and mRNA, by performing two biological experiments with a 1 M probe-selection microarray that contained the entire probe-library. Subsequently, the 1.5 M NGS reads were assembled into 23,709 isotigs and 135,082 singletons, which were associated to ∼55 k, respectively, ∼61 k gene ontology terms and which corresponded together to 22,593 unique protein accessions. An algorithm was developed that took the assembly and the probe affinities to DNA and mRNA into account, what resulted in 59 k highly-reliable probes that targeted uniquely 95% of the isotigs and 18% of the singletons. Concluding, our approach allowed the development of high-quality transcriptomics resources for C. riparius, and is applicable to any non-model organism. It is expected, that these resources will advance ecotoxicity testing with C. riparius as whole-transcriptome gene-expression analysis are now possible with this species.
机译:全转录组基因表达分析通常在具有测序基因组且可从市场购得微阵列的物种中进行。为了在没有基因组数据或基因组数据有限的物种中进行此类分析,即首先必须开发非模型生物,必需的转录组学资源,即带注释的转录组和经过验证的基因表达微阵列。本研究的目的是通过结合下一代测序(NGS)和微阵列技术,为开发非模型生物的转录组学资源建立一种先进的方法。我们将我们的方法应用于无咬mid蚊(Chironomus riparius),这是一种与生态相关的物种,广泛用于沉积物生态毒性测试。我们广泛采样,涵盖了所有的河滨梭菌的发育阶段以及暴露于毒物的幼虫,并从归一化的cDNA文库中获得1.5 M NGS读数,总计501 Mbp。利用NGS数据,我们分几步开发了转录组学资源。首先,我们直接在NGS读数上设计了844 k个探针,以及针对相关物种表达的序列标签的76 k个探针。通过使用包含整个探针库的1 M探针选择微阵列进行两次生物学实验,测试了这些探针对河豚曲霉DNA和mRNA的亲和力。随后,将1.5 M NGS读段组装为23,709个等位基因和135,082个单例,它们分别与〜55 k,〜61 k基因本体术语相关,并且一起对应于22,593个独特的蛋白质登录。开发了一种算法,该算法考虑了装配以及探针对DNA和mRNA的亲和力,从而产生了59 k个高度可靠的探针,这些探针分别靶向95%的isotig和18%的单峰。最后,我们的方法允许开发河豚曲霉的高质量转录组学资源,并且适用于任何非模式生物。预计这些资源将促进河豚曲霉的生态毒性测试,因为该物种现在可能进行全转录组基因表达分析。

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