Institute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, UK.
Earlham Institute, Norwich research Park, Norwich, UK.
BMC Genomics. 2018 Apr 13;19(1):250. doi: 10.1186/s12864-018-4640-y.
Bread wheat has a large complex genome that makes whole genome resequencing costly. Therefore, genome complexity reduction techniques such as sequence capture make re-sequencing cost effective. With a high-quality draft wheat genome now available it is possible to design capture probe sets and to use them to accurately genotype and anchor SNPs to the genome. Furthermore, in addition to genetic variation, epigenetic variation provides a source of natural variation contributing to changes in gene expression and phenotype that can be profiled at the base pair level using sequence capture coupled with bisulphite treatment. Here, we present a new 12 Mbp wheat capture probe set, that allows both the profiling of genotype and methylation from the same DNA sample. Furthermore, we present a method, based on Agilent SureSelect Methyl-Seq, that will use a single capture assay as a starting point to allow both DNA sequencing and methyl-seq.
Our method uses a single capture assay that is sequentially split and used for both DNA sequencing and methyl-seq. The resultant genotype and epi-type data is highly comparable in terms of coverage and SNP/methylation site identification to that generated from separate captures for DNA sequencing and methyl-seq. Furthermore, by defining SNP frequencies in a diverse landrace from the Watkins collection we highlight the importance of having genotype data to prevent false positive methylation calls. Finally, we present the design of a new 12 Mbp wheat capture and demonstrate its successful application to re-sequence wheat.
We present a cost-effective method for performing both DNA sequencing and methyl-seq from a single capture reaction thus reducing reagent costs, sample preparation time and DNA requirements for these complementary analyses.
小麦基因组庞大且复杂,全基因组重测序的成本很高。因此,序列捕获等基因组复杂度降低技术可使重测序具有成本效益。现在已经有了高质量的小麦基因组草图,就可以设计捕获探针组,并将其用于准确地对 SNP 进行基因分型和基因组定位。此外,除了遗传变异之外,表观遗传变异也提供了自然变异的来源,从而导致基因表达和表型发生变化,这些变化可以使用序列捕获结合亚硫酸氢盐处理在碱基对水平上进行分析。在这里,我们提出了一种新的 12 Mbp 小麦捕获探针组,它允许从同一 DNA 样本中同时进行基因型和甲基化分析。此外,我们提出了一种基于 Agilent SureSelect Methyl-Seq 的方法,该方法将使用单个捕获实验作为起点,同时允许进行 DNA 测序和甲基化测序。
我们的方法使用单个捕获实验,该实验可顺序分割并用于 DNA 测序和甲基化测序。从单个捕获实验中生成的基因型和表型数据在覆盖度和 SNP/甲基化位点识别方面与分别用于 DNA 测序和甲基化测序的捕获实验生成的数据高度可比。此外,通过在沃特金斯收藏的一个多样化的地方品种中定义 SNP 频率,我们强调了拥有基因型数据以防止假阳性甲基化调用的重要性。最后,我们展示了一个新的 12 Mbp 小麦捕获设计,并证明了其在重新测序小麦中的成功应用。
我们提出了一种从单个捕获反应中同时进行 DNA 测序和甲基化测序的经济有效的方法,从而降低了这些互补分析的试剂成本、样品制备时间和 DNA 需求。