生物
结构变异
基因组
遗传学
特质
适应(眼睛)
进化生物学
基因
单核苷酸多态性
DNA测序
数量性状位点
计算生物学
基因型
计算机科学
神经科学
程序设计语言
作者
Harmeet Singh Chawla,HueyTyng Lee,Iulian Gabur,Paul Vollrath,Suriya Tamilselvan‐Nattar‐Amutha,Christian Obermeier,Sarah Schießl,Jia‐Ming Song,Kede Liu,Liang Guo,Isobel A. P. Parkin,Rod J. Snowdon
摘要
Summary Genome structural variation (SV) contributes strongly to trait variation in eukaryotic species and may have an even higher functional significance than single‐nucleotide polymorphism (SNP). In recent years, there have been a number of studies associating large chromosomal scale SV ranging from hundreds of kilobases all the way up to a few megabases to key agronomic traits in plant genomes. However, there have been little or no efforts towards cataloguing small‐ (30–10 000 bp) to mid‐scale (10 000–30 000 bp) SV and their impact on evolution and adaptation‐related traits in plants. This might be attributed to complex and highly duplicated nature of plant genomes, which makes them difficult to assess using high‐throughput genome screening methods. Here, we describe how long‐read sequencing technologies can overcome this problem, revealing a surprisingly high level of widespread, small‐ to mid‐scale SV in a major allopolyploid crop species, Brassica napus . We found that up to 10% of all genes were affected by small‐ to mid‐scale SV events. Nearly half of these SV events ranged between 100 bp and 1000 bp, which makes them challenging to detect using short‐read Illumina sequencing. Examples demonstrating the contribution of such SV towards eco‐geographical adaptation and disease resistance in oilseed rape suggest that revisiting complex plant genomes using medium‐coverage long‐read sequencing might reveal unexpected levels of functional gene variation, with major implications for trait regulation and crop improvement.
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