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17 results on '"Ackiss, Amanda S."'

1. A science and management partnership to restore coregonine diversity to the Laurentian Great Lakes

Author

Bunnell, David B., primary, Ackiss, Amanda S., additional, Alofs, Karen M., additional, Brant, Cory O., additional, Bronte, Charles R., additional, Claramunt, Randall M., additional, Dettmers, John M., additional, Honsey, Andrew E., additional, Mandrak, Nicholas E., additional, Muir, Andrew M., additional, Santucci, Victor J., additional, Smith, David R., additional, Strach, Russell M., additional, Sweka, John A., additional, Weidel, Brian C., additional, Mattes, William P., additional, and Newman, Kurt R., additional

Published
2023
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3. Lake Superior Kiyi reproductive biology

Author

Vinson, Mark R., primary, Herbert, Matthew E., additional, Ackiss, Amanda S., additional, Dobosenski, Jamie A., additional, Evrard, Lori M., additional, Gorman, Owen T., additional, Lyons, Joshua F., additional, Phillips, Sydney B., additional, and Yule, Dan L., additional

Published
2023
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5. Results of the collaborative Lake Ontario bloater restoration stocking and assessment, 2012–2020

Author

Weidel, Brian C., primary, Ackiss, Amanda S., additional, Chalupnicki, Marc A., additional, Connerton, Michael J., additional, Davis, Steve, additional, Dettmers, John M., additional, Drew, Timothy, additional, Fisk, Aaron T., additional, Gordon, Roger, additional, Hanson, S. Dale, additional, Holden, Jeremy P., additional, Holey, Mark E., additional, Johnson, James H., additional, Johnson, Timothy B., additional, Lake, Colin, additional, Lantry, Brian F., additional, Loftus, Kevin K., additional, Mackey, Gregg E., additional, McKenna, James E., additional, Millard, Michael J., additional, Minihkeim, Scott P., additional, O'Malley, Brian P., additional, Rupnik, Adam, additional, Todd, Andy, additional, and LaPan, Steven R., additional

Published
2022
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8. Big Data in Conservation Genomics: Boosting Skills, Hedging Bets, and Staying Current in the Field

Author

Schweizer, Rena M, primary, Saarman, Norah, additional, Ramstad, Kristina M, additional, Forester, Brenna R, additional, Kelley, Joanna L, additional, Hand, Brian K, additional, Malison, Rachel L, additional, Ackiss, Amanda S, additional, Watsa, Mrinalini, additional, Nelson, Thomas C, additional, Beja-Pereira, Albano, additional, Waples, Robin S, additional, Funk, W Chris, additional, and Luikart, Gordon, additional

Published
2021
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13. Dispersive currents explain patterns of population connectivity in an ecologically and economically important fish.

Author

Schraidt, Claire E., Ackiss, Amanda S., Larson, Wesley A., Rowe, Mark D., Höök, Tomas O., and Christie, Mark R.

Subjects
GENE flow, YELLOW perch, POPULATION differentiation, OCEAN currents, VALUES (Ethics), LARVAL dispersal, FISH diversity, FISH populations
Abstract

How to identify the drivers of population connectivity remains a fundamental question in ecology and evolution. Answering this question can be challenging in aquatic environments where dynamic lake and ocean currents coupled with high levels of dispersal and gene flow can decrease the utility of modern population genetic tools. To address this challenge, we used RAD‐Seq to genotype 959 yellow perch (Perca flavescens), a species with an ~40‐day pelagic larval duration (PLD), collected from 20 sites circumscribing Lake Michigan. We also developed a novel, integrative approach that couples detailed biophysical models with eco‐genetic agent‐based models to generate "predictive" values of genetic differentiation. By comparing predictive and empirical values of genetic differentiation, we estimated the relative contributions for known drivers of population connectivity (e.g., currents, behavior, PLD). For the main basin populations (i.e., the largest contiguous portion of the lake), we found that high gene flow led to low overall levels of genetic differentiation among populations (FST = 0.003). By far the best predictors of genetic differentiation were connectivity matrices that were derived from periods of time when there were strong and highly dispersive currents. Thus, these highly dispersive currents are driving the patterns of population connectivity in the main basin. We also found that populations from the northern and southern main basin are slightly divergent from one another, while those from Green Bay and the main basin are highly divergent (FST = 0.11). By integrating biophysical and eco‐genetic models with genome‐wide data, we illustrate that the drivers of population connectivity can be identified in high gene flow systems. [ABSTRACT FROM AUTHOR]

Published
2023
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17. Genotyping-by-sequencing illuminates high levels of divergence among sympatric forms of coregonines in the Laurentian Great Lakes

Author

Ackiss, Amanda S., Larson, Wesley A., and Stott, Wendylee

Subjects
Genetic divergence, Genetic diversity, biology, Evolutionary biology, Sympatric speciation, Species diversity, Microsatellite, Genomics, Reproductive isolation, Coregonus, biology.organism_classification
Abstract

Effective resource management depends on our ability to partition diversity into biologically meaningful units. Recent evolutionary divergence, however, can often lead to ambiguity in morphological and genetic differentiation, complicating the delineation of valid conservation units. Such is the case with the “coregonine problem,” where recent post-glacial radiations of coregonines into lacustrine habitats resulted in the evolution of numerous species flocks, often with ambiguous taxonomy. The application of genomics methods is beginning to shed light on this problem and the evolutionary mechanisms underlying divergence in these ecologically and economically important fishes. Here, we used restriction site-associated DNA (RAD) sequencing to examine genetic diversity and differentiation among sympatric species in theCoregonus artedicomplex in the Apostle Islands of Lake Superior, the largest lake in the Laurentian Great Lakes. Using 29,068 SNPs, we were not only able to clearly distinguish the three most common forms for the first time, but putative hybrids and potentially mis-identified specimens as well. Assignment rates to form with our RAD data were 93-100% with the only mis-assignments arising from putative F1 hybrids, an improvement from 62-77% using microsatellites. Estimates of pairwise differentiation (FST: 0.045-0.056) were large given the detection of hybrids, suggesting that hybridization among forms may not be successful beyond the F1 state. We also used a newly builtC. artedilinkage map to look for islands of adaptive genetic divergence among forms and found widespread differentiation across the genome, a pattern indicative of long-term drift, suggesting that these forms have been reproductively isolated for a substantial amount of time. The results of this study provide valuable information that can be applied to develop well-informed management strategies and stress the importance of re-evaluating conservation units with genomic tools to ensure they accurately reflect species diversity.

Published
2019

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