Suppr超能文献

用于小麦及其近缘种基因组调控区域经济高效测序的第二代捕获文库。

A second-generation capture panel for cost-effective sequencing of genome regulatory regions in wheat and relatives.

作者信息

Zhang Junli, Debernardi Juan M, Burguener Germán F, Choulet Frédéric, Paux Etienne, O'Connor Lauren, Enk Jacob, Dubcovsky Jorge

机构信息

Dep. of Plant Sciences, Univ. of California, Davis, CA, 95616, USA.

UCA, INRAE, GDEC, Clermont-Ferrand, 63000, France.

出版信息

Plant Genome. 2023 Mar;16(1):e20296. doi: 10.1002/tpg2.20296. Epub 2022 Dec 9.

Abstract

As genome resources for wheat (Triticum L.) expand at a rapid pace, it is important to update targeted sequencing tools to incorporate improved sequence assemblies and regions of previously unknown significance. Here, we developed an updated regulatory region enrichment capture for wheat and other Triticeae species. The core target space includes sequences from 2-Kbp upstream of each gene predicted in the Chinese Spring wheat genome (IWGSC RefSeq Annotation v1.0) and regions of open chromatin identified with an assay for transposase-accessible chromatin using sequencing from wheat leaf and root samples. To improve specificity, we aggressively filtered candidate repetitive sequences using a combination of nucleotide basic local alignment search tool (BLASTN) searches to the Triticeae Repetitive Sequence Database (TREP), identification of regions with read over-coverage from previous target enrichment experiments, and k-mer frequency analyses. The final design comprises 216.5 Mbp of predicted hybridization space in hexaploid wheat and showed increased specificity and coverage of targeted sequences relative to previous protocols. Test captures on hexaploid and tetraploid wheat and other diploid cereals show that the assay has broad potential utility for cost-effective promoter and open chromatin resequencing and general-purpose genotyping of various Triticeae species.

摘要

随着小麦(Triticum L.)基因组资源的迅速扩展,更新靶向测序工具以纳入改进的序列组装和具有先前未知重要性的区域非常重要。在此,我们开发了一种针对小麦和其他小麦族物种的更新的调控区域富集捕获方法。核心目标空间包括中国春小麦基因组(IWGSC RefSeq注释v1.0)中预测的每个基因上游2千碱基的序列,以及通过对小麦叶和根样本进行转座酶可及染色质测序分析鉴定出的开放染色质区域。为了提高特异性,我们使用核苷酸基本局部比对搜索工具(BLASTN)搜索小麦族重复序列数据库(TREP)、识别先前目标富集实验中具有读数过度覆盖的区域以及k-mer频率分析等组合方法,积极筛选候选重复序列。最终设计在六倍体小麦中包含2.165亿碱基对的预测杂交空间,相对于先前的方案,显示出靶向序列的特异性和覆盖率有所提高。对六倍体和四倍体小麦以及其他二倍体谷物的测试捕获表明,该分析方法对于各种小麦族物种的经济高效启动子和开放染色质重测序以及通用基因分型具有广泛的潜在用途。

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