Genomic Tool Developed to Identify Cryptic Whitefish Species in Great Lakes
Researchers developed a genotyping panel of 494 loci capable of distinguishing members of the Coregonus artedi fish complex in the Laurentian Great Lakes, species that cannot be told apart using standard DNA barcoding. The panel was tested on over 3,000 coregonine larvae and juveniles collected from Lake Superior between 2019 and 2021, and was also found to cross-amplify usefully in related whitefish species. The findings suggest GT-seq panels designed for one species group may have broader, off-target utility for identifying related taxa.
A new study published on bioRxiv describes the development of a GT-seq (Genotyping-in-Thousands by Sequencing) panel designed to differentiate species within the Coregonus artedi complex, a group of salmonids in the Laurentian Great Lakes that are indistinguishable using conventional mitochondrial DNA barcoding. The panel, comprising 494 loci, successfully assigned fish to both species and lake of origin, addressing a critical gap for bi-national conservation efforts targeting these species. The researchers also tested the panel on related whitefish species and found that Lake Whitefish (C. clupeaformis) cross-amplified at 94% of loci, while Round and Pygmy Whitefish (Prosopium spp.) cross-amplified at 42% and 38%, respectively. To accommodate these related species, the team adapted bioinformatic probes to include 22 new SNPs and developed a whitelist of 428 SNPs capable of distinguishing all the whitefishes examined. The panel was validated by identifying 3,066 coregonine larvae and juveniles from Lake Superior, demonstrating practical utility for studying early-life ecology in species that are otherwise morphologically cryptic at juvenile stages.
What's missing
As a preprint, this study has not yet undergone formal peer review, so findings should be interpreted with appropriate caution. The study does not report validation of the panel across all lakes in the Great Lakes system or across all seasons, which may limit generalizability. Long-term performance consistency and potential for misassignment under field conditions with degraded DNA samples are not fully addressed.
What different sources said
- bioRxivCenter
A genomic tool to tackle cryptic diversity demonstrates the potential for off-target use of GT-seq panels
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