National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
Department of Plant and Microbial Biology, University of Minnesota, St. Paul, MN 55108, USA.
G3 (Bethesda). 2021 Jul 14;11(7). doi: 10.1093/g3journal/jkab138.
Transposons can create allelic diversity that affects gene expression and phenotypic diversity. The detection of transposon polymorphisms at a genome-wide scale across a large population is difficult. Here, we developed a targeted sequencing approach to monitor transposon polymorphisms of interest. This approach can interrogate the presence or absence of transposons reliably across various genotypes. Using this approach, we genotyped a set of 965 transposon-related presence/absence polymorphisms in a diverse panel of 16 maize (Zea mays L.) inbred lines that are representative of the major maize breeding groups. About 70% of the selected regions can be effectively assayed in each genotype. The consistency between the capture-based assay and PCR-based assay are 98.6% based on analysis of 24 randomly selected transposon polymorphisms. By integrating the transposon polymorphisms data with gene expression data, ∼18% of the assayed transposon polymorphisms were found to be associated with variable gene expression levels. A detailed analysis of 18 polymorphisms in a larger association panel confirmed the effects of 10 polymorphisms, with one of them having a stronger association with expression than nearby SNP markers. The effects of seven polymorphisms were tested using a luciferase-based expression assay, and one was confirmed. Together, this study demonstrates that the targeted sequencing assay is an effective way to explore transposon function in a high-throughput manner.
转座子可以创造影响基因表达和表型多样性的等位基因多样性。在一个大群体中,在全基因组范围内检测转座子多态性是困难的。在这里,我们开发了一种靶向测序方法来监测感兴趣的转座子多态性。这种方法可以可靠地检测各种基因型中转座子的存在或缺失。使用这种方法,我们对代表主要玉米育种群体的 16 个玉米(Zea mays L.)自交系的多样化面板中的 965 个与转座子相关的存在/缺失多态性进行了基因分型。大约 70%的选定区域可以在每个基因型中有效地进行检测。基于对 24 个随机选择的转座子多态性的分析,基于捕获的检测与基于 PCR 的检测之间的一致性为 98.6%。通过将转座子多态性数据与基因表达数据相结合,大约 18%的检测到的转座子多态性与可变基因表达水平相关。在一个更大的关联面板中对 18 个多态性的详细分析证实了 10 个多态性的影响,其中一个多态性与表达的关联比附近的 SNP 标记更强。使用基于荧光素酶的表达测定法对 7 个多态性的影响进行了测试,其中一个得到了证实。总之,这项研究表明,靶向测序分析是一种有效的高通量方法来探索转座子的功能。