PLoS ONEGeneticsPeer-reviewed journal article
The Value of Multi-Year Sampling for Detecting Fine-Scale Population Genetic Structure in Marine Fishes: A Case Study of Juvenile Southern Flounder
Sydney P. HarnediD, Jamie L. MankiewicziD, Russell John BorskiiD, John GodwiniD, Martha O. Burford ReiskindiD
Abstract
Understanding population structure is critical for effective fisheries management in species with complex life histories and variable recruitment. Southern flounder (Paralichthys lethostigma) is a valuable flatfish species with declining populations in the Southeast United States. Improved management may depend on a better understanding of fine-scale and temporal population genetic structure in this region; however, such structure remains poorly characterized. To address our lack of understanding of the spatial and temporal population structure of this important species, we used double digest reduced-representation genome sequencing (ddRADSeq) on juveniles from estuaries in North Carolina and Texas between 2014 and 2023. We found significant genetic differentiation between the Gulf of Mexico and Atlantic populations, supporting the management of these regions as distinct stocks. By contrast, we detected significant variance in genetic structure within Texas and North Carolina populations that was not consistent across sampling years between estuaries in close proximity. The population genetic structure of southern flounder suggests significant, temporally variable genetic differences within estuarine locations that may result from variation in larval dispersal and recruitment patterns. Our findings highlight the value of integrating fine-scale, multi-year genetic data to capture temporal dynamics and avoid misleading conclusions based on single-year or broad-scale sampling.
- assay: DNA methylation
- research focus: GWAS / association mapping
- research focus: variant calling
- research focus: genome assembly
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- top 29%
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