CNRS, UMR7238, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Sorbonne Université, Paris, France.
CNRS, UMR7141, Institut de Biologie Physico-Chimique, Laboratory of Chloroplast Biology and Light-Sensing in Microalgae, Sorbonne Université, Paris, France.
PLoS One. 2024 Feb 8;19(2):e0297014. doi: 10.1371/journal.pone.0297014. eCollection 2024.
Recent advances in long-read sequencing technologies have enabled the complete assembly of eukaryotic genomes from telomere to telomere by allowing repeated regions to be fully sequenced and assembled, thus filling the gaps left by previous short-read sequencing methods. Furthermore, long-read sequencing can also help characterizing structural variants, with applications in the fields of genome evolution or cancer genomics. For many organisms, the main bottleneck to sequence long reads remains the lack of robust methods to obtain high-molecular-weight (HMW) DNA. For this purpose, we developed an optimized protocol to extract DNA suitable for long-read sequencing from the unicellular green alga Chlamydomonas reinhardtii, based on CTAB/phenol extraction followed by a size selection step for long DNA molecules. We provide validation results for the extraction protocol, as well as statistics obtained with Oxford Nanopore Technologies sequencing.
近年来,长读测序技术的进步使得通过完全测序和组装重复区域,能够实现端粒到端粒的真核生物基因组的完整组装,从而填补了以前短读测序方法留下的空白。此外,长读测序还可以帮助鉴定结构变异,在基因组进化或癌症基因组学等领域有应用。对于许多生物体来说,获得高分子量(HMW)DNA 的稳健方法的缺乏仍然是进行长读测序的主要瓶颈。为此,我们基于 CTAB/酚提取,然后对长 DNA 分子进行大小选择步骤,开发了一种从单细胞绿藻衣藻中提取适用于长读测序的 DNA 的优化方案。我们提供了提取方案的验证结果以及使用牛津纳米孔技术测序获得的统计数据。