Suppr超能文献

Geneious!用于系统发育系统研究的简化基因组快速测序方法:以山紫草属(紫草科)为例的研究

Geneious! Simplified genome skimming methods for phylogenetic systematic studies: A case study in Oreocarya (Boraginaceae).

作者信息

Ripma Lee A, Simpson Michael G, Hasenstab-Lehman Kristen

机构信息

Department of Biology, San Diego State University, San Diego, California 92182-4614 USA.

Rancho Santa Ana Botanic Garden, 1500 N. College Avenue, Claremont, California 92117 USA.

出版信息

Appl Plant Sci. 2014 Dec 4;2(12). doi: 10.3732/apps.1400062. eCollection 2014 Dec.

Abstract

PREMISE OF THE STUDY

As systematists grapple with how to best harness the power of next-generation sequencing (NGS), a deluge of review papers, methods, and analytical tools make choosing the right method difficult. Oreocarya (Boraginaceae), a genus of 63 species, is a good example of a group lacking both species-level resolution and genomic resources. The use of Geneious removes bioinformatic barriers and makes NGS genome skimming accessible to even the least tech-savvy systematists. •

METHODS

A combination of de novo and reference-guided assemblies was used to process 100-bp single-end Illumina HiSeq 2000 reads. A subset of 25 taxa was used to test the suitability of genome skimming for future systematic studies in recalcitrant lineages like Oreocarya. •

RESULTS

The nuclear ribosomal cistron, the plastome, and 12 mitochondrial genes were recovered from all 25 taxa. All data processing and phylogenomic analyses were performed in Geneious. We report possible future multiplexing levels and published low-copy nuclear genes represented within de novo contigs. •

DISCUSSION

Genome skimming represents a much-improved primary data collection over PCR+Sanger sequencing when chloroplast DNA (cpDNA), nuclear ribosomal DNA (nrDNA), and mitochondrial DNA (mtDNA) are the target sequences. This study details methods that plant systematists can employ to study their own taxa of interest.

摘要

研究前提

随着分类学家努力应对如何最好地利用下一代测序(NGS)的强大功能,大量的综述论文、方法和分析工具使得选择正确的方法变得困难。Oreocarya(紫草科)属有63个物种,是一个既缺乏物种水平分辨率又缺乏基因组资源的类群的典型例子。使用Geneious消除了生物信息学障碍,使即使是最不懂技术的分类学家也能进行NGS基因组浅层测序。

方法

采用从头组装和参考引导组装相结合的方法处理100碱基对单端Illumina HiSeq 2000 reads。使用25个分类群的子集来测试基因组浅层测序对于像Oreocarya这样难以处理的谱系未来系统发育研究的适用性。

结果

从所有25个分类群中都获得了核糖体顺反子、质体基因组和12个线粒体基因。所有数据处理和系统发育基因组分析均在Geneious中进行。我们报告了从头组装重叠群中可能的未来多重水平以及已发表的低拷贝核基因。

讨论

当叶绿体DNA(cpDNA)、核糖体DNA(nrDNA)和线粒体DNA(mtDNA)作为目标序列时,基因组浅层测序相对于PCR+桑格测序而言,代表了一种显著改进的原始数据收集方法。本研究详细介绍了植物分类学家可用于研究其感兴趣分类群的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a507/4259456/78435cf861f1/apps.1400062fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验