Evidence map›Paper›PMID 35945546›Full record

ArticleChinese medicine2022

Comparison of ONT and CCS sequencing technologies on the polyploid genome of a medicinal plant showed that high error rate of ONT reads are not suitable for self-correction.

Peng Zeng, Zunzhe Tian, Yuwei Han, Weixiong Zhang, Tinggan Zhou, Yingmei Peng, Hao Hu, Jing Cai

Abstract read
In one paragraph

Article in Chinese medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Peng Zeng *State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.
Zunzhe Tian *School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China.
Yuwei Han *School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China.
Weixiong ZhangState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.
Tinggan ZhouSchool of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China.
Yingmei PengSchool of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China.
Hao Hu *State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China. haohu@um.edu.mo.
Jing Cai *School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China. jingcai@nwpu.edu.cn.ORCID http://orcid.org/0000-0002-2496-4731

Funding

Ten Thousand Talent Plans for Young Top-notch Talents of Yunnan Province 5113190037The Science and Technology Development Fund Macau SAR 031/2017/A1the Talents Team Construction Fund of Northwestern Polytechnical University (NWPU), the Fundamental Research Funds for the Central Universities 3102019JC007
6 · The paper itself

Abstract

backgroundMany medicinal plants are known for their complex genomes with high ploidy, heterozygosity, and repetitive content which pose severe challenges for genome sequencing of those species. Long reads from Oxford nanopore sequencing technology (ONT) or Pacific Biosciences Single Molecule, Real-Time (SMRT) sequencing offer great advantages in de novo genome assembly, especially for complex genomes with high heterozygosity and repetitive content. Currently, multiple allotetraploid species have sequenced their genomes by long-read sequencing. However, we found that a considerable proportion of these genomes (7.9% on average, maximum 23.7%) could not be covered by NGS (Next Generation Sequencing) reads (uncovered region by NGS reads, UCR) suggesting the questionable and low-quality of those area or genomic areas that can't be sequenced by NGS due to sequencing bias. The underlying causes of those UCR in the genome assembly and solutions to this problem have never been studied.

methodsIn the study, we sequenced the tetraploid genome of Veratrum dahuricum (Turcz.) O. Loes (VDL), a Chinese medicinal plant, with ONT platform and assembled the genome with three strategies in parallel. We compared the qualities, coverage, and heterozygosity of the three ONT assemblies with another released assembly of the same individual using reads from PacBio circular consensus sequencing (CCS) technology, to explore the cause of the UCR.

resultsBy mapping the NGS reads against the three ONT assemblies and the CCS assembly, we found that the coverage of those ONT assemblies by NGS reads ranged from 49.15 to 76.31%, much smaller than that of the CCS assembly (99.53%). And alignment between ONT assemblies and CCS assembly showed that most UCR can be aligned with CCS assembly. So, we conclude that the UCRs in ONT assembly are low-quality sequences with a high error rate that can't be aligned with short reads, rather than genomic regions that can't be sequenced by NGS. Further comparison among the intermediate versions of ONT assemblies showed that the most probable origin of those errors is a combination of artificial errors introduced by "self-correction" and initial sequencing error in long reads. We also found that polishing the ONT assembly with CCS reads can correct those errors efficiently.

conclusionsThrough analyzing genome features and reads alignment, we have found the causes for the high proportion of UCR in ONT assembly of VDL are sequencing errors and additional errors introduced by self-correction. The high error rates of ONT-raw reads make them not suitable for self-correction prior to allotetraploid genome assembly, as the self-correction will introduce artificial errors to > 5% of the UCR sequences. We suggest high-precision CCS reads be used to polish the assembly to correct those errors effectively for polyploid genomes.

Indexed as

AllotetraploidHomozygous variantsLow-quality sequencesONT-based assemblyVeratrum dahuricum

Identifiers

PMID35945546
PMCPMC9364492

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