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基于高通量测序和基因分型数据的精确重组估算:以大麦为例的研究

Accurate recombination estimation from pooled genotyping and sequencing: a case study on barley.

机构信息

Institute of Quantitative Genetics and Genomics of Plants, Heinrich Heine University, 40225, Düsseldorf, Germany.

Max Planck Institute for Plant Breeding Research, 50829, Köln, Germany.

出版信息

BMC Genomics. 2022 Jun 25;23(1):468. doi: 10.1186/s12864-022-08701-7.

Abstract

Sexual reproduction involves meiotic recombination and the creation of crossing over between homologous chromosomes, which leads to new allele combinations. We present a new approach that uses the allele frequency differences and the physical distance of neighboring polymorphisms to estimate the recombination rate from pool genotyping or sequencing. This allows a considerable cost reduction compared to conventional mapping based on genotyping or sequencing data of single individuals. We evaluated the approach based on computer simulations at various genotyping depths and population sizes as well as applied it to experimental data of 45 barley populations, comprising 4182 RIL. High correlations between the recombination rates from this new pool genetic mapping approach and conventional mapping in simulated and experimental barley populations were observed. The proposed method therefore provides a reliable genetic map position and recombination rate estimation in defined genomic windows.

摘要

有性生殖涉及减数分裂重组和同源染色体之间交叉的产生,这导致了新的等位基因组合。我们提出了一种新的方法,该方法使用等位基因频率差异和相邻多态性的物理距离来估计来自池基因分型或测序的重组率。与基于单个个体的基因分型或测序数据的传统作图相比,这大大降低了成本。我们基于不同的基因分型深度和群体大小的计算机模拟评估了该方法,以及将其应用于 45 个大麦群体的实验数据,包括 4182 个 RIL。在模拟和实验大麦群体中,观察到来自这种新的池遗传作图方法的重组率与传统作图之间存在高度相关性。因此,该方法在定义的基因组窗口中提供了可靠的遗传图谱位置和重组率估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b533/9233355/2d4aa72af120/12864_2022_8701_Fig1_HTML.jpg

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