Urban Martin, King Robert, Hassani-Pak Keywan, Hammond-Kosack Kim E
Department of Plant Biology and Crop Science, Rothamsted Research, Harpenden, Herts, AL5 2JQ, UK.
Department of Computational and Systems Biology, Rothamsted Research, Harpenden, Herts, AL5 2JQ, UK.
BMC Genomics. 2015 Apr 3;16(1):261. doi: 10.1186/s12864-015-1412-9.
Identifying pathogen virulence genes required to cause disease is crucial to understand the mechanisms underlying the pathogenic process. Plasmid insertion mutagenesis of fungal protoplasts is frequently used for this purpose in filamentous ascomycetes. Post transformation, the mutant population is screened for loss of virulence to a specific plant or animal host. Identifying the insertion event has previously met with varying degrees of success, from a cleanly disrupted gene with minimal deletion of nucleotides at the insertion point to multiple-copy insertion events and large deletions of chromosomal regions. Currently, extensive mutant collections exist in laboratories globally where it was hitherto impossible to identify all the affected genes.
We used a whole-genome sequencing (WGS) approach using Illumina HiSeq 2000 technology to investigate DNA tag insertion points and chromosomal deletion events in mutagenised, reduced virulence F. graminearum isolates identified in disease tests on wheat (Triticum aestivum). We developed the FindInsertSeq workflow to localise the DNA tag insertions to the nucleotide level. The workflow was tested using four mutants showing evidence of single and multi-copy insertions in DNA blot analysis. FindInsertSeq was able to identify both single and multi-copy concatenation insertion sites. By comparing sequencing coverage, unexpected molecular recombination events such as large tagged and untagged chromosomal deletions, and DNA amplification were observed in three of the analysed mutants. A random data sampling approach revealed the minimum genome coverage required to survey the F. graminearum genome for alterations.
This study demonstrates that whole-genome re-sequencing to 22x fold genome coverage is an efficient tool to characterise single and multi-copy insertion mutants in the filamentous ascomycete Fusarium graminearum. In some cases insertion events are accompanied with large untagged chromosomal deletions while in other cases a straight-forward insertion event could be confirmed. The FindInsertSeq analysis workflow presented in this study enables researchers to efficiently characterise insertion and deletion mutants.
鉴定致病所需的病原体毒力基因对于理解致病过程的潜在机制至关重要。在丝状子囊菌中,真菌原生质体的质粒插入诱变经常用于此目的。转化后,筛选突变群体对特定植物或动物宿主的毒力丧失情况。此前,鉴定插入事件取得了不同程度的成功,从插入点核苷酸缺失最少的干净破坏基因到多拷贝插入事件以及染色体区域的大片段缺失。目前,全球各实验室存在大量突变体库,在此之前无法鉴定所有受影响的基因。
我们使用Illumina HiSeq 2000技术的全基因组测序(WGS)方法,研究在小麦(Triticum aestivum)病害试验中鉴定出的诱变、毒力降低的禾谷镰刀菌分离株中的DNA标签插入点和染色体缺失事件。我们开发了FindInsertSeq工作流程,将DNA标签插入定位到核苷酸水平。该工作流程使用四个在DNA印迹分析中显示单拷贝和多拷贝插入证据的突变体进行了测试。FindInsertSeq能够鉴定单拷贝和多拷贝串联插入位点。通过比较测序覆盖度,在三个分析的突变体中观察到了意外的分子重组事件,如大片段标记和未标记的染色体缺失以及DNA扩增。一种随机数据采样方法揭示了调查禾谷镰刀菌基因组变化所需的最小基因组覆盖度。
本研究表明,全基因组重测序至22倍基因组覆盖度是表征丝状子囊菌禾谷镰刀菌中单拷贝和多拷贝插入突变体的有效工具。在某些情况下,插入事件伴随着大片段未标记的染色体缺失,而在其他情况下,可以确认简单的插入事件。本研究中提出的FindInsertSeq分析工作流程使研究人员能够有效地表征插入和缺失突变体。