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Genome Survey and Chromosome-Level Draft Genome Assembly of Glycine max var. Dongfudou 3: Insights into Genome Characteristics and Protein Deficiencies

文献类型： 外文期刊

作者： Duan, Yajuan 1 ; Li, Yue 1 ; Zhang, Jing 1 ; Song, Yongze 1 ; Jiang, Yan 1 ; Tong, Xiaohong 1 ; Bi, Yingdong 2 ; Wang, Shaodong 1 ; Wang, Sui 1 ;

作者机构： 1.Northeast Agr Univ, Chinese Minist Educ, Key Lab Soybean Biol, 600 Changjiang Rd, Harbin 150030, Peoples R China

2.Heilongjiang Acad Agr Sci, Inst Crop Cultivat & Tillage, Harbin 150028, Peoples R China

关键词： genome survey; next-generation sequencing; Glycine max; Dongfudou 3; k-mer analysis; organellar DNA; GmLox genes

期刊名称：PLANTS-BASEL （ 影响因子：4.5； 五年影响因子：4.8 ）

ISSN：

年卷期： 2023 年 12 卷 16 期

页码：

收录情况： SCI

摘要： Dongfudou 3 is a highly sought-after soybean variety due to its lack of beany flavor. To support molecular breeding efforts, we conducted a genomic survey using next-generation sequencing. We determined the genome size, complexity, and characteristics of Dongfudou 3. Furthermore, we constructed a chromosome-level draft genome and speculated on the molecular basis of protein deficiency in GmLOX1, GmLOX2, and GmLOX3. These findings set the stage for high-quality genome analysis using third-generation sequencing. The estimated genome size is approximately 1.07 Gb, with repetitive sequences accounting for 72.50%. The genome is homozygous and devoid of microbial contamination. The draft genome consists of 916.00 Mb anchored onto 20 chromosomes, with annotations of 46,446 genes and 77,391 transcripts, achieving Benchmarking Single-Copy Orthologue (BUSCO) completeness of 99.5% for genome completeness and 99.1% for annotation. Deletions and substitutions were identified in the three GmLox genes, and they also lack corresponding active proteins. Our proposed approach, involving k-mer analysis after filtering out organellar DNA sequences, is applicable to genome surveys of all plant species, allowing for accurate assessments of size and complexity. Moreover, the process of constructing chromosome-level draft genomes using closely related reference genomes offers cost-effective access to valuable information, maximizing data utilization.

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