Mo Zhi-Qiong, Fu Chao-Nan, Twyford Alex D, Hollingsworth Pete M, Zhang Ting, Yang Jun-Bo, Li De-Zhu, Gao Lian-Ming
State Key Laboratory of Plant Diversity and Specialty Crops, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, Yunnan, China.
Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omits, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, Yunnan, China.
Plant Divers. 2025 May 2;47(4):593-603. doi: 10.1016/j.pld.2025.04.006. eCollection 2025 Jul.
Deep genome skimming (DGS) has emerged as a promising approach to recover orthologous nuclear genes for large-scale phylogenomic analyses. However, its reliability with low DNA quality and quantity typical of archival specimens, such as herbarium material, remains largely unexplored. We used as a case study to evaluate best practices for DGS in phylogenetic analyses at both deep and shallow scales. We first investigated locus recovery variation with sequencing depth, before evaluating the phylogenetic utility of different sets of loci, including Angiosperms353, target nuclear exons, and extended exon-flanking regions. We found DGS effectively recovered nuclear genes from herbarium specimens, with ∼15× coverage performing similarly to deeper sequencing. The recovery of target exon and flanking regions was improved by using supercontigs as a reference, offering a potential solution to limited sequencing depth. The high-integrity nuclear sequences recovered robust phylogenetic relationships within . Notably, exon-flanking regions showed significant potential for resolving relationships at shallow scales. Genes recovered with taxon-specific references had less missing data than those recovered by Angiosperms353 and generated higher-resolution phylogenetic trees. This study demonstrates the utility of DGS data for obtaining numerous nuclear genes from herbarium specimens for phylogenetic studies, and makes recommendations for best practices regarding sequencing coverage, locus selection, and bioinformatic approaches.
深度基因组浅层测序(DGS)已成为一种很有前景的方法,可用于为大规模系统发育基因组分析恢复直系同源核基因。然而,对于像植物标本馆标本这类存档标本典型的低质量和低数量DNA,其可靠性在很大程度上仍未得到探索。我们以[具体研究对象未给出]为案例研究,评估在深度和浅层尺度的系统发育分析中DGS的最佳实践。我们首先研究了测序深度对基因座恢复的影响,然后评估了不同基因座集的系统发育效用,包括被子植物353基因座、目标核外显子和扩展的外显子侧翼区域。我们发现DGS能有效地从植物标本馆标本中恢复核基因,约15倍覆盖率的表现与更深测序相似。使用超级重叠群作为参考可提高目标外显子和侧翼区域的恢复率,为有限的测序深度提供了一个潜在解决方案。恢复的高完整性核序列在[具体范围未给出]内展现出稳健的系统发育关系。值得注意的是,外显子侧翼区域在解决浅层尺度的关系方面显示出显著潜力。用分类群特异性参考恢复的基因比用被子植物353恢复的基因缺失数据更少,并生成了更高分辨率的系统发育树。本研究证明了DGS数据在从植物标本馆标本中获取大量核基因用于系统发育研究方面的效用,并就测序覆盖率、基因座选择和生物信息学方法的最佳实践提出了建议。