The nature of complex structural variations in tomatoes

Structural variations (SVs) in repetitive sequences could only be detected within a broad region due to imprecise breakpoints, leading to classification errors and inaccurate trait analysis. Through manual inspection at 4532 variant regions identified by integrating 14 detection pipelines between two tomato genomes, we generated an SV benchmark at base-pair resolution. Evaluation of all pipelines yielded F1-scores below 53.77% with this benchmark, underscoring the urgent need for advanced detection algorithms in plant genomics. Analyzing the alignment features of the repetitive sequences in each region, we summarized four patterns of SV breakpoints and revealed that deviations in breakpoint identification were primarily due to copy misalignment. According to the similarities among copies, we identified 1635 <i>bona fide</i> SVs with precise breakpoints, including substitutions (223), which should be taken as a fundamental SV type, alongside insertions (780), deletions (619), and inversions (13), all showing preferences for SV occurrence within AT-repeat regions of regulatory loci. This precise resolution of complex SVs will foster genome analysis and crop improvement.

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Publication Details

Journal
Horticulture Research
Published
2025-04-16
DOI
https://doi.org/10.1093/hr/uhaf107
Citations
2
Primary Topic
Cocoa and Sweet Potato Agronomy
Type
article
Field-Weighted Citation Impact
5.49

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article

The nature of complex structural variations in tomatoes

Yao Zhou, Aoxue Wang, Mingfang Feng, Yang Liu et al.
2 citations
Horticulture Research
Cocoa and Sweet Potato Agronomy
5.49
article

The nature of complex structural variations in tomatoes

Yao Zhou, Aoxue Wang, Mingfang Feng, Yang Liu, Fulei Mo, Xue Cui, Hossein Ghanizadeh, Jianwei Zhang, Xu Chen, Yuxin Liu, Hang Yin, Yao Zhang, Hongbin Zhong, Yicheng Huang, Huixin Zhang, Youwen Qiu, Qian Zhao, Qiulin Yao, Jiayin Liu, Xiuling Chen
article en
2 citations

Abstract

Structural variations (SVs) in repetitive sequences could only be detected within a broad region due to imprecise breakpoints, leading to classification errors and inaccurate trait analysis. Through manual inspection at 4532 variant regions identified by integrating 14 detection pipelines between two tomato genomes, we generated an SV benchmark at base-pair resolution. Evaluation of all pipelines yielded F1-scores below 53.77% with this benchmark, underscoring the urgent need for advanced detection algorithms in plant genomics. Analyzing the alignment features of the repetitive sequences in each region, we summarized four patterns of SV breakpoints and revealed that deviations in breakpoint identification were primarily due to copy misalignment. According to the similarities among copies, we identified 1635 <i>bona fide</i> SVs with precise breakpoints, including substitutions (223), which should be taken as a fundamental SV type, alongside insertions (780), deletions (619), and inversions (13), all showing preferences for SV occurrence within AT-repeat regions of regulatory loci. This precise resolution of complex SVs will foster genome analysis and crop improvement.

Horticulture ResearchVol. 12(7)
Northeast Agricultural University (CN), Chinese Academy of Sciences (CN), Huazhong Agricultural University (CN), Agricultural Genomics Institute at Shenzhen (CN), Czech Academy of Sciences, Institute of Botany (CZ), Chinese Academy of Agricultural Sciences (CN), Ministry of Agriculture and Rural Affairs (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Openalex Percentile: Top 7%
Cocoa and Sweet Potato Agronomy
5.49
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