Back

A genomic tool to tackle cryptic diversity demonstrates the potential for off-target use of GT-seq panels

Ackiss, A. S.; Vinson, M. R.; Ropp, A. J.; Gruenthal, K. M.; Krabbenhoft, T. J.; Siegel, J. V.; Stott, W.; Yule, D. L.; Larson, W. A.

2026-06-12 genomics
10.64898/2026.06.09.731139 bioRxiv
Show abstract

A comprehensive understanding of life history is vital to successful species conservation and management. When different life history stages are accompanied by considerable morphological or cryptic variation, such as the egg and larval phases exhibited by most fishes, genomic tools are essential for identifying species so that early-life ecology questions can be studied. Genotyping-in-thousands by sequencing (GT-seq) has recently emerged as a targeted and efficient approach for species identification. We leveraged existing genomic and transcriptomic data to develop a GT-seq panel capable of differentiating the members of the Coregonus artedi complex, a radiation of salmonids in the Laurentian Great Lakes whose members are indistinguishable with mitochondrial DNA barcoding loci and are the focus of bi-national conservation initiatives. Our panel of 494 loci was able to assign fishes in the C. artedi complex to species and lake. We examined cross-amplification in other coregonines with overlapping distributions and found that congeneric Lake Whitefish (C. clupeaformis) cross-amplified at 94% of loci and confamilial Round and Pygmy Whitefish (Prosopium spp.) cross-amplified at 42% and 38% of loci, respectively. We adapted bioinformatic probes to account for Prosopium-specific variants including 22 new SNPs and developed a whitelist of 428 SNPs capable of distinguishing these whitefishes. Finally, we demonstrated performance by identifying 3,066 coregonine larvae and juveniles collected in spring 2019-2021 from Lake Superior. These results hold promise for future insights into the species-specific ecology of early life coregonines and demonstrate the flexibility of GT-seq panels, which may cross-amplify hundreds of informative genome-wide loci in related taxa.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Molecular Ecology Resources
171 papers in training set
Top 0.1%
18.3%
2
Environmental DNA
56 papers in training set
Top 0.1%
11.8%
3
Ecology and Evolution
267 papers in training set
Top 0.3%
10.5%
4
BMC Genomics
406 papers in training set
Top 1%
5.5%
5
Molecular Ecology
336 papers in training set
Top 1%
4.8%
50% of probability mass above
6
Evolutionary Applications
108 papers in training set
Top 0.3%
4.8%
7
G3: Genes, Genomes, Genetics
252 papers in training set
Top 1.0%
4.8%
8
ICES Journal of Marine Science
11 papers in training set
Top 0.1%
4.0%
9
Scientific Reports
3612 papers in training set
Top 27%
4.0%
10
PeerJ
308 papers in training set
Top 2%
3.5%
11
PLOS ONE
5266 papers in training set
Top 38%
3.2%
12
Journal of Heredity
42 papers in training set
Top 0.3%
2.4%
13
G3: Genes|Genomes|Genetics
35 papers in training set
Top 0.2%
1.5%
14
Canadian Journal of Fisheries and Aquatic Sciences
18 papers in training set
Top 0.2%
1.4%
15
Methods in Ecology and Evolution
176 papers in training set
Top 1%
1.3%
16
Global Change Biology
78 papers in training set
Top 1%
1.1%
17
Journal of Applied Ecology
39 papers in training set
Top 1.0%
1.0%
18
Frontiers in Marine Science
62 papers in training set
Top 1%
0.8%
19
eLife
5828 papers in training set
Top 65%
0.8%
20
Nature Communications
5641 papers in training set
Top 57%
0.8%
21
Journal of Fish Biology
17 papers in training set
Top 0.4%
0.8%
22
Communications Biology
993 papers in training set
Top 36%
0.6%
23
Conservation Genetics
15 papers in training set
Top 0.4%
0.6%