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全基因组再测序数据集的杂草大米变种的全基因组再测序数据集

Shahril Ab Razak¹, Rabiatul Adawiah Zainal Abidin¹, Alny Marlynni Abd Majid¹

¹Biotechnology & Nanotechnology Research Centre, MARDI Headquarters, 43400, Serdang, Selangor, Malaysia.

|December 4, 2025

概括

10种杂草大米品种的全基因组再测序提供了宝贵的基因组资源. 这些数据有助于理解杂草的演变,并开发用于管理的分子标记物.

科学领域:

基因组学就是基因组学.
植物科学植物科学
农业科学农业科学

背景情况:

杂草大米 (Oryza sativa f. spontanea) 在全球范围内对大米生产构成重大威胁.
它造成了大量的收获损失,并降低了种植的米粒的质量.
有效的管理策略需要更深入地了解杂草大米的遗传学.

研究的目的:

为杂草大米产生全面的基因组资源.
为了促进对这个有问题的杂草的理解和管理.
识别分子标记物,以区分杂草大米与种植品种.

主要方法:

全基因组再测序 (WGRS) 在来自半岛马来西亚的10种不同的杂草大米品种上进行.
基因组DNA使用Illumina NovaSeq 6000平台进行了测序,产生了高质量的对结读.
原始测序数据经过严格的质量控制和处理.

主要成果:

大约产生了138Gb的原始数据和136.9Gb的清晰读取数据.
清洁读取数据集已公开存储在欧洲核酸存档 (ENA) 中,加入号为PRJEB96009.
这一数据集能够对基因变异进行全基因组分析,并识别单核酸多态 (SNP) 等分子标记物.

结论:

生成的基因组数据集是杂草大米研究的宝贵资源.
它支持未来对杂草大米遗传学,进化和化的研究.
识别的分子标记物可以帮助制定杂草管理和作物改善策略.

关键词:

基因组变异的发生下一代测序 (NGS) 是指下一代的测序.米树 (Oryza sativa f. spontanea) 是一种天然植物.单核酸多态 (单核酸多态,简称SNP)整个基因组的重新排序.

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