Schrinner, Sven ORCID: 0000-0002-6712-2198, Mari, Rebecca Serra, Finkers, Richard ORCID: 0000-0002-4368-8058, Arens, Paul, Usadel, Bjoern, Marschall, Tobias and Klau, Gunnar W. (2022). Genetic polyploid phasing from low-depth progeny samples. iScience, 25 (6). CAMBRIDGE: CELL PRESS. ISSN 2589-0042

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Abstract

An important challenge in genome assembly is haplotype phasing, that is, to reconstruct the different haplotype sequences of an individual genome. Phasing becomes considerably more difficult with increasing ploidy, which makes polyploid phasing a notoriously hard computational problem. We present a novel genetic phasing method for plant breeding with the aim to phase two deep-sequenced parental samples with the help of a large number of progeny samples sequenced at low depth. The key ideas underlying our approach are to (i) integrate the individually weak Mendelian progeny signals with a Bayesian log-likelihood model, (ii) cluster alleles according to their likelihood of co-occurrence, and (iii) assign them to haplotypes via an interval scheduling approach. We show on two deep-sequenced parental and 193 low-depth progeny potato samples that our approach computes high-quality sparse phasings and that it scales to whole genomes.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Schrinner, SvenUNSPECIFIEDorcid.org/0000-0002-6712-2198UNSPECIFIED
Mari, Rebecca SerraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Finkers, RichardUNSPECIFIEDorcid.org/0000-0002-4368-8058UNSPECIFIED
Arens, PaulUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Usadel, BjoernUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Marschall, TobiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Klau, Gunnar W.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-682562
DOI: 10.1016/j.isci.2022.104461
Journal or Publication Title: iScience
Volume: 25
Number: 6
Date: 2022
Publisher: CELL PRESS
Place of Publication: CAMBRIDGE
ISSN: 2589-0042
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
Multidisciplinary SciencesMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/68256

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