ArticlePlant diversity2024
Skmer approach improves species discrimination in taxonomically problematic genus
Article in Plant diversity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Plant species identification by genome skimming across the vascular plant tree of life.The New phytologist · 2026Article
- Phytochemical Characterization and Cytotoxic Potential of the Ethyl Acetate Fraction ofMolecules (Basel, Switzerland) · 2026Article
- DipSkmer: Reference-free population genomics with diploid genome skims.bioRxiv : the preprint server for biology · 2026Article
- ReSkmer: modeling repeats allows k-mer-based alignment-free methods to calculate population genomic distances.Genome biology · 2026Article
- Cytotoxic and apoptotic effects of kaempferol 3-O-rhamnoside from Schima wallichii in HepG2 cells.Scientific reports · 2026Article
- DNA-based identification of plants and the genomic nature of plant species differences.Communications biology · 2026Article
- Resolving the Taxonomic Enigma ofEcology and evolution · 2026Article
- Article
- Article
- Genomic DNA barcodes provide novel insights into species delimitation in the complex Camellia sect. Thea (Theaceae).BMC plant biology · 2025Article
- Further investigation ofPhytoKeys · 2025Article
- Assembly-free reads accurate identification (AFRAID) approach outperforms other methods of DNA barcoding in the walnut family (Juglandaceae).Plant diversity · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome skimming has dramatically extended DNA barcoding from short DNA fragments to next generation barcodes in plants. However, conserved DNA barcoding markers, including complete plastid genome and nuclear ribosomal DNA (nrDNA) sequences, are inadequate for accurate species identification. Skmer, a recently proposed approach that estimates genetic distances among species based on unassembled genome skims, has been proposed to effectively improve species discrimination rate. In this study, we used Skmer to identify species based on genomic skims of 47 individuals representing 10 out of 13 species of
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