A high-throughput BAC end analysis protocol (BAC-anchor) for profiling genome assembly and physical mapping

文献类型： 外文期刊

第一作者： Yang, Xiaohui

作者： Yang, Xiaohui;Yang, Yu;Guo, Xiao;Dong, Daofeng;Li, Guangcun;Yang, Xiaohui;Ling, Jian;Jin, Liping;Huang, Sanwen;Li, Guangcun;Guan, Jiantao;Liu, Jun

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关键词： BAC end library; BAC-anchor; whole-genome profiling; heterozygosity; autotetraploid potato

期刊名称：PLANT BIOTECHNOLOGY JOURNAL （ 影响因子：9.803； 五年影响因子：9.555 ）

ISSN： 1467-7644

年卷期： 2020 年 18 卷 2 期

页码：

收录情况： SCI

摘要： Traditional approaches for sequencing insertion ends of bacterial artificial chromosome (BAC) libraries are laborious and expensive, which are currently some of the bottlenecks limiting a better understanding of the genomic features of auto- or allopolyploid species. Here, we developed a highly efficient and low-cost BAC end analysis protocol, named BAC-anchor, to identify paired-end reads containing large internal gaps. Our approach mainly focused on the identification of high-throughput sequencing reads carrying restriction enzyme cutting sites and searching for large internal gaps based on the mapping locations of both ends of the reads. We sequenced and analysed eight libraries containing over 3 200 000 BAC end clones derived from the BAC library of the tetraploid potato cultivar C88 digested with two restriction enzymes, Cla I and Mlu I. About 25% of the BAC end reads carrying cutting sites generated a 60-100 kb internal gap in the potato DM reference genome, which was consistent with the mapping results of Sanger sequencing of the BAC end clones and indicated large differences between autotetraploid and haploid genotypes in potato. A total of 5341 Cla I- and 165 Mlu I-derived unique reads were distributed on different chromosomes of the DM reference genome and could be used to establish a physical map of target regions and assemble the C88 genome. The reads that matched different chromosomes are especially significant for the further assembly of complex polyploid genomes. Our study provides an example of analysing high-coverage BAC end libraries with low sequencing cost and is a resource for further genome sequencing studies.

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