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利用短序列 reads 对多倍体进行基于家系的单倍型估计和等位基因剂量校正

Family-Based Haplotype Estimation and Allele Dosage Correction for Polyploids Using Short Sequence Reads.

作者信息

Motazedi Ehsan, Maliepaard Chris, Finkers Richard, Visser Richard, de Ridder Dick

机构信息

Bioinformatics Group, Wageningen University & Research, Wageningen, Netherlands.

Plant Breeding, Wageningen University & Research, Wageningen, Netherlands.

出版信息

Front Genet. 2019 Apr 16;10:335. doi: 10.3389/fgene.2019.00335. eCollection 2019.

DOI:10.3389/fgene.2019.00335
PMID:31040862
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6477055/
Abstract

DNA sequence reads contain information about the genomic variants located on a single chromosome. By extracting and extending this information using the overlaps between the reads, the haplotypes of an individual can be obtained. Using parent-offspring relationships in a population can considerably improve the quality of the haplotypes obtained from short reads, as pedigree information can be used to correct for spurious overlaps (due to sequencing errors) and insufficient overlaps (due to short read lengths, low genomic variation and shallow coverage). We developed a novel method, PopPoly, to estimate polyploid haplotypes in an F1-population from short sequence data by taking into consideration the transmission of the haplotypes from the parents to the offspring. In addition, this information is employed to improve genotype dosage estimation and to call missing genotypes in the population. Through simulations, we compare PopPoly to other haplotyping methods and show its better performance. We evaluate PopPoly by applying it to a tetraploid potato cross at nine genomic regions involved in tuber formation.

摘要

DNA序列读数包含位于单条染色体上的基因组变异信息。通过利用读数之间的重叠来提取和扩展此信息,可以获得个体的单倍型。利用群体中的亲子关系可以显著提高从短读数获得的单倍型质量,因为系谱信息可用于校正虚假重叠(由于测序错误)和重叠不足(由于短读长、低基因组变异和低覆盖度)。我们开发了一种新方法PopPoly,通过考虑单倍型从亲本到后代的传递,从短序列数据估计F1群体中的多倍体单倍型。此外,该信息还用于改善基因型剂量估计并在群体中调用缺失的基因型。通过模拟,我们将PopPoly与其他单倍型分型方法进行比较,并展示了其更好的性能。我们通过将PopPoly应用于涉及块茎形成的九个基因组区域的四倍体马铃薯杂交种来评估PopPoly。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e79/6477055/2595e710d1bc/fgene-10-00335-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e79/6477055/c8bc315efeb8/fgene-10-00335-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e79/6477055/22cd566e5502/fgene-10-00335-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e79/6477055/30e09d13ff39/fgene-10-00335-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e79/6477055/22d1438b33be/fgene-10-00335-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e79/6477055/2595e710d1bc/fgene-10-00335-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e79/6477055/c8bc315efeb8/fgene-10-00335-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e79/6477055/22cd566e5502/fgene-10-00335-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e79/6477055/30e09d13ff39/fgene-10-00335-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e79/6477055/22d1438b33be/fgene-10-00335-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e79/6477055/2595e710d1bc/fgene-10-00335-g0005.jpg

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Plant Genome. 2017 Nov;10(3). doi: 10.3835/plantgenome2016.10.0110.
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Exploiting next-generation sequencing to solve the haplotyping puzzle in polyploids: a simulation study.
46/1 单体型在骨髓增殖性肿瘤易感性中的作用。
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PolyHaplotyper: haplotyping in polyploids based on bi-allelic marker dosage data.多倍体单体型分析软件:基于双等位基因标记剂量数据的多倍体单体型分析。
BMC Bioinformatics. 2022 Oct 23;23(1):442. doi: 10.1186/s12859-022-04989-0.
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Genetic polyploid phasing from low-depth progeny samples.基于低深度子代样本的遗传多倍体定相分析
iScience. 2022 May 25;25(6):104461. doi: 10.1016/j.isci.2022.104461. eCollection 2022 Jun 17.
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Apple whole genome sequences: recent advances and new prospects.苹果全基因组序列:最新进展与新前景。
Hortic Res. 2019 Apr 5;6:59. doi: 10.1038/s41438-019-0141-7. eCollection 2019.
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