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使用七个从头基因组组装对重组率、参考偏差和独特的全基因组单倍型进行比较

Comparison of Recombination Rate, Reference Bias, and Unique Pangenomic Haplotypes in Using Seven De Novo Genome Assemblies.

作者信息

Stack George M, Quade Michael A, Wilkerson Dustin G, Monserrate Luis A, Bentz Philip C, Carey Sarah B, Grimwood Jane, Toth Jacob A, Crawford Seth, Harkess Alex, Smart Lawrence B

机构信息

Horticulture Section, School of Integrative Plant Science, Cornell University, Geneva, NY 14456, USA.

HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA.

出版信息

Int J Mol Sci. 2025 Jan 29;26(3):1165. doi: 10.3390/ijms26031165.

Abstract

Genomic characterization of has accelerated rapidly in the last decade as sequencing costs have decreased and public and private interest in the species has increased. Here, we present seven new chromosome-level haplotype-phased genomes of . All of these genotypes were alive at the time of publication, and several have numerous years of associated phenotype data. We performed a -mer-based pangenome analysis to contextualize these assemblies within over 200 existing assemblies. This allowed us to identify unique haplotypes and genomic diversity among genotypes. We leveraged linkage maps constructed from F progeny of two of the assembled genotypes to characterize the recombination rate across the genome showing strong periphery-biased recombination. Lastly, we re-aligned a bulk segregant analysis dataset for the major-effect flowering locus to several of the new assemblies to evaluate the impact of reference bias on the mapping results and narrow the locus to a smaller region of the chromosome. These new assemblies, combined with the continued propagation of the genotypes, will contribute to the growing body of genomic resources for to accelerate future research efforts.

摘要

在过去十年中,随着测序成本的降低以及公众和私人对该物种兴趣的增加,[物种名称]的基因组特征研究进展迅速。在此,我们展示了[物种名称]的七个新的染色体水平单倍型定相基因组。所有这些基因型在发表时均存活,并且有几个具有多年相关的表型数据。我们基于k-mer进行了泛基因组分析,以便在200多个现有组装中对这些组装进行背景分析。这使我们能够识别[物种名称]基因型中的独特单倍型和基因组多样性。我们利用从两个已组装基因型的F子代构建的连锁图谱来表征全基因组的重组率,结果显示出强烈的外周偏向重组。最后,我们将主要效应开花位点[位点名称]的混合分离分析数据集重新比对到几个新组装上,以评估参考偏差对定位结果的影响,并将该位点缩小到染色体上更小的区域。这些新的组装,再加上基因型的持续繁殖,将有助于增加[物种名称]的基因组资源,以加速未来的研究工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c733/11818205/cb0a1b23c435/ijms-26-01165-g001.jpg

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