Suppr超能文献

通过从单拷贝直系同源基因构建的多基因座物种树进行样本鉴定:以亚属为例的研究

Specimen Identification Through Multilocus Species Tree Constructed From Single-Copy Orthologs (SCOs): A Case Study in Subgenus .

作者信息

He Zheng-Shan, Yang Ji-Xiong, Huang Jia-Lin, Li De-Zhu, Yang Jun-Bo

机构信息

Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics Kunming Institute of Botany, Chinese Academy of Sciences Kunming Yunnan China.

Yuxi Normal University Yuxi Yunnan China.

出版信息

Ecol Evol. 2025 Apr 24;15(4):e71323. doi: 10.1002/ece3.71323. eCollection 2025 Apr.

Abstract

Standard barcodes and ultra-barcode encounter significant challenges when delimiting and discriminating closely related species characterized by deep coalescence, hybrid speciation, gene flow, or low sequence variation. Single-copy orthologs (SCOs) have been widely recognized as standardized nuclear markers in metazoan DNA taxonomy, yet their application in plant taxonomy remains unexplored. This study evaluates the efficacy of SCOs for identifying recently diverged species within the subgenus , where ultra-barcodes have previously shown limited resolution. Remarkably, over 90% of the 9094 targeted reference SCOs, inferred from three genomes, were successfully retrieved for all 11 representative species in subg. using ALiBaSeq at a minimal 5× depth from whole genome shotgun sequences. The species tree, reconstructed from multiple refined SCO matrices under the coalescent model, effectively distinguished all species and identified mislabeled or misidentified specimens. The comprehensive and refined SCO matrices produced by our pipeline not only enhance phylogenetic analysis but also improve the precision of species diagnosis. Additionally, biparentally inherited SCOs, serving as multi-locus markers, not only augment the effectiveness of DNA barcoding but also support a transition to multi-locus, species-tree-based specimen assignment strategies.

摘要

标准条形码和超条形码在界定和区分以深度聚合、杂交物种形成、基因流或低序列变异为特征的近缘物种时面临重大挑战。单拷贝直系同源物(SCO)已被广泛认为是后生动物DNA分类学中的标准化核标记,但其在植物分类学中的应用仍未得到探索。本研究评估了SCO在识别亚属内最近分化物种方面的有效性,此前超条形码在该亚属中显示出有限的分辨率。值得注意的是,从三个基因组推断出的9094个目标参考SCO中,超过90%能够通过ALiBaSeq从全基因组鸟枪法测序中以至少5倍深度成功检索到亚属中的所有11个代表性物种。在合并模型下从多个精细的SCO矩阵重建的物种树有效地区分了所有物种,并识别出错误标记或错误鉴定的标本。我们的流程生成的全面且精细的SCO矩阵不仅增强了系统发育分析,还提高了物种诊断的精度。此外,双亲遗传的SCO作为多位点标记,不仅增强了DNA条形码的有效性,还支持向基于多位点、物种树的标本分配策略的转变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55d2/12019701/5ccef46b1633/ECE3-15-e71323-g006.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验