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Test Species Discrimination in Codonopsis (Campanulaceae) Using Genome Skimming Data
Chun-Jiao Li1,2, Yin-Zi Jiang3, De-Zhu Li2,4
1College of Life Science, Shenyang Normal University, Shenyang, Liaoning, China.
None:
To overcome the limitations of conventional barcoding loci, plastid genome (plastome) and nuclear ribosomal DNA (nrDNA) sequences recovered from genome skimming, proposed as 'super-barcodes' have been suggested as candidates for delimitating recently diverged species or complex plant groups. DNA super-barcodes must be further assessed for their effectiveness in other diverse plant groups. This research focused on the genus Codonopsis, a medicinally significant yet taxonomically complex group characterised by morphological similarity and high phenotypic plasticity in response to environmental conditions. We analysed standard DNA barcodes and super-barcodes across 81 individuals from 36 of the 42 species of Codonopsis from Asia. Our work provides a comprehensive DNA barcode library for Codonopsis species identification. Our findings demonstrated that super-barcodes significantly improved the phylogenetic resolution and the discriminatory power compared to standard DNA barcodes. Since mitochondrial sequence variation is generally low in plant species, few studies have assessed its effectiveness as super-barcodes. We screened the mitochondrial protein-coding sequences (CDS) using genome skimming and evaluated the identification capacity of their combination. Unexpectedly, the discriminatory power of mitochondrial DNA with high nucleotide variation was comparable to that of the concatenated plastid CDS. However, the organelle genome cannot wholly determine the species boundaries of Codonopsis, which might be related to their rapid evolutionary radiation, ILS, hybridisation and strong natural selection. Future multi-locus nuclear markers will likely be developed in plants for additional discriminatory power. Our study provides new knowledge and insights into species discrimination of recently evolved Codonopsis taxa in a biodiversity hotspot.
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