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首页 > 过刊浏览>年第0卷第11期 > 优先出版
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基于重测序解析小麦L43与陕西白麦的遗传差异
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作者单位:

1.北京市农林科学院杂交小麦研究所;2.山西农业大学小麦研究所

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基金项目:

小麦种质资源真实性检测平台及数据库建设(项目编号:KJCX20261407)


Analysis of Genetic Differences between Wheat Line L43 and Landrace Shaanxibaimai Based on Resequencing Technology
Author:
Affiliation:

1.Institute of Hybrid Wheat Beijing Academy of Agriculture and Forestry Sciences;2.Institute of Wheat Research, Shanxi Agricultural University‌;3.Shanxi Agricultural University, Institute of Wheat Research

Fund Project:

Construction of Wheat Germplasm Resources Authenticity Detection Platform and Database (grant number KJCX20261407)

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    摘要:

    本研究基于华大MGI-2000/MGI-T7测序平台,对小麦育成品系L43和地方品种陕西白麦进行了全基因组深度重测序,系统解析了二者基因组差异及其对农艺性状的影响。研究以中国春基因组v2.1为参考,在两份材料中共鉴定出18,076,855个SNP、1,282,111个InDel、975个CNV和28,477个SV的纯合差异位点。亚基因组分析结果显示,A和B亚基因组中SNP、InDel和SV差异位点的占比均超过90%,而D亚基因组中CNV差异位点的占比为27.17%。基因组覆盖度分析表明,SNP、InDel、SV和CNV的差异区间分别覆盖全基因组的25.66%、27.24%、26.58%和6.85%,这些区间显著富集于抗病及产量相关基因。功能变异分析发现,陕西白麦特异性地携带了白粉病抗性基因(Pm3/Pm5/Pm24)和条锈病抗性基因(Yr10)的全部非同义突变。相比之下,叶锈病抗性基因(Lr10)、产量相关基因(AGL6/TaABI5-A/TaCKX2/TaCKX4等)中83.33%的非同义突变富集于L43当中,仅TaAP2-A、TaARF12-B、TaGS3-4A当中共5个非同义突变位于陕西白麦。CNV差异分析进一步揭示,L43在多个抗病基因(LOC123140906/LOC123129130等)和GTP代谢相关基因(TOC101/Rab5/XLG3)中存在拷贝数缺失,这可能与其抗病性和籽粒发育能力相关。通过解析GO富集分析结果,发现共13个未知抗病基因存在提前的终止密码子,其中9个存在于L43中,4个存在于陕西白麦中。本研究通过对L43和陕西白麦全基因组重测序数据的深入分析,不仅系统解析了二者在基因组水平的差异,还为其在抗病性和产量相关性状改良中的种质利用提供了重要理论依据。

    Abstract:

    In this study, we performed whole-genome deep resequencing of the wheat breeding line L43 and the Shaanxi landrace Shaanxi Baimal using the BGI MGI-2000/MGI-T7 sequencing platform. The objective was to systematically characterize genomic differences between the two accessions and to evaluate their potential impacts on agronomic traits, with a particular focus on disease resistance and yield-related characteristics. Using the Chinese Spring reference genome v2.1, we identified a total of 18,076,855 homozygous single nucleotide polymorphisms (SNPs), 1,282,111 insertions/deletions (InDels), 975 copy number variations (CNVs), and 28,477 structural variations (SVs) between the two materials.Subgenome-specific analysis revealed that more than 90% of the differential SNPs, InDels, and SVs were located in the A and B subgenomes, whereas 27.17% of the differential CNVs were distributed in the D subgenome. Genome coverage analysis indicated that the differential intervals associated with SNPs, InDels, SVs, and CNVs covered 25.66%, 27.24%, 26.58%, and 6.85% of the whole genome, respectively. Functional enrichment analysis demonstrated that these intervals were significantly overrepresented in genes involved in disease resistance and yield-related biological processes.Detailed functional variation analysis showed that Shaanxi Baimal specifically harbored all nonsynonymous mutations present in the powdery mildew resistance genes (Pm3,?Pm5, and?Pm24) and the stripe rust resistance gene (Yr10). In contrast, 83.33% of the nonsynonymous mutations identified in the leaf rust resistance gene (Lr10) and in multiple yield-related genes (including?AGL6,?TaABI5A,?TaCKX2,?TaCKX4, and others) were enriched in line L43. Only five nonsynonymous mutations, located in?TaAP2A,?TaARF12B, and?TaGS34A, were found exclusively in Shaanxi Baimal.Copy number variation analysis further revealed that L43 exhibited copy number losses in several disease resistance genes (e.g.,?LOC123140906?and?LOC123129130) as well as in genes involved in GTP metabolism, including?TOC101,?Rab5, and?XLG3. These copy number alterations may be associated with reduced disease resistance and altered grain development capacity in L43. Gene Ontology (GO) enrichment analysis allowed us to identify 13 previously uncharacterized putative disease resistance genes that carry premature stop codons. Among these, nine were present in L43 and four were found in Shaanxi Baimal.In summary, through comprehensive analysis of whole-genome resequencing data from L43 and Shaanxi Baimal, this study not only provides a systematic overview of genomic differences between the two wheat accessions but also establishes a theoretical basis for the utilization of these germplasms in breeding programs aimed at improving disease resistance and yield-related traits. The identified allelic variants and copy number variations represent valuable targets for marker-assisted selection and gene functional studies in wheat improvement.

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  • 收稿日期:2026-04-28
  • 最后修改日期:2026-08-03
  • 录用日期:2026-08-03
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