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整合基因组资源,为普通小麦呈现完整的基因和假定启动子捕获探针集。

Integrating genomic resources to present full gene and putative promoter capture probe sets for bread wheat.

机构信息

Earlham Institute, Norwich Research Park, Norwich, NR4 7UZ, UK.

IBM Research, The Hartree Centre STFC Laboratory, Sci-Tech Daresbury, Warrington, WA4 4AD, UK.

出版信息

Gigascience. 2019 Apr 1;8(4). doi: 10.1093/gigascience/giz018.

Abstract

BACKGROUND

Whole-genome shotgun resequencing of wheat is expensive because of its large, repetitive genome. Moreover, sequence data can fail to map uniquely to the reference genome, making it difficult to unambiguously assign variation. Resequencing using target capture enables sequencing of large numbers of individuals at high coverage to reliably identify variants associated with important agronomic traits. Previous studies have implemented complementary DNA/exon or gene-based probe sets in which the promoter and intron sequence is largely missing alongside newly characterized genes from the recent improved reference sequences.

RESULTS

We present and validate 2 gold standard capture probe sets for hexaploid bread wheat, a gene and a putative promoter capture, which are designed using recently developed genome sequence and annotation resources. The captures can be combined or used independently. We demonstrate that the capture probe sets effectively enrich the high-confidence genes and putative promoter regions that were identified in the genome alongside a large proportion of the low-confidence genes and associated promoters. Finally, we demonstrate successful sample multiplexing that allows generation of adequate sequence coverage for single-nucleotide polymorphism calling while significantly reducing cost per sample for gene and putative promoter capture.

CONCLUSIONS

We show that a capture design employing an "island strategy" can enable analysis of the large gene/putative promoter space of wheat with only 2 × 160 Mbp probe sets. Furthermore, these assays extend the regions of the wheat genome that are amenable to analyses beyond its exome, providing tools for detailed characterization of these regulatory regions in large populations.

摘要

背景

由于小麦基因组庞大且具有重复序列,全基因组鸟枪法重测序的成本很高。此外,序列数据可能无法唯一映射到参考基因组,从而难以明确地分配变异。使用靶向捕获进行重测序可以对大量个体进行高覆盖率测序,从而可靠地鉴定与重要农艺性状相关的变体。以前的研究已经实施了互补 DNA/外显子或基于基因的探针集,其中启动子和内含子序列与最近改进的参考序列中新鉴定的基因一起在很大程度上缺失。

结果

我们提出并验证了用于六倍体面包小麦的 2 个金标准捕获探针集,一个是基因捕获探针集,另一个是假定启动子捕获探针集,它们是使用最近开发的基因组序列和注释资源设计的。这些捕获可以组合使用或单独使用。我们证明了捕获探针集可以有效地富集高可信度基因和假定启动子区域,这些区域与大量低可信度基因和相关启动子一起被鉴定出来。最后,我们展示了成功的样品多路复用,允许在单个核苷酸多态性调用中生成足够的序列覆盖,同时显著降低基因和假定启动子捕获的每个样本的成本。

结论

我们表明,采用“岛屿策略”的捕获设计可以仅使用 2×160 Mbp 的探针集分析小麦的大基因/假定启动子空间。此外,这些检测方法扩展了小麦基因组中可进行分析的区域,超出了其外显子,为在大群体中对这些调控区域进行详细表征提供了工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b97/6461119/a8761b0f8905/giz018fig1.jpg

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