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68 results for “Coregonus”

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dryad36/100

High-density genomic data reveal fine-scale population structure and pronounced islands of adaptive divergence in lake whitefish (Coregonus clupeaformis) from Lake Michigan

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publicSep 2022View details →
dryad36/100

Data from: Evolution and disappearance of sympatric Coregonus albula in a changing environment - a case study of the only remaining population pair in Sweden

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publicJan 2021View details →
dryad36/100

Underwater video of lake whitefish Coregonus clupeaformis spawning in lake Michigan

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publicJun 2024View details →
edi36/100

North Temperate Lakes site, station Big Muskellunge Lake, study of animal abundance of Coregonus artedi in units of numberPerEffort on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains animal abundance of Coregonus artedi measurements in numberPerEffort units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station Fish Lake, study of animal abundance of Coregonus artedi in units of numberPerEffort on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains animal abundance of Coregonus artedi measurements in numberPerEffort units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station Lake Mendota, study of animal abundance of Coregonus artedi in units of numberPerEffort on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains animal abundance of Coregonus artedi measurements in numberPerEffort units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station Lake Monona, study of animal abundance of Coregonus artedi in units of numberPerEffort on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains animal abundance of Coregonus artedi measurements in numberPerEffort units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station Sparkling Lake, study of animal abundance of Coregonus artedi in units of numberPerEffort on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains animal abundance of Coregonus artedi measurements in numberPerEffort units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station Trout Lake, study of animal abundance of Coregonus clupeaformis in units of numberPerEffort on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains animal abundance of Coregonus clupeaformis measurements in numberPerEffort units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

North Temperate Lakes site, station Trout Lake, study of animal abundance of Coregonus artedi in units of numberPerEffort on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains animal abundance of Coregonus artedi measurements in numberPerEffort units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
dryad32/100

Coregonus spp. opsin amplicon sequence alignments

<p>Local adaptation can drive diversification of closely related species across environmental gradients and promote convergence of distantly related taxa that experience similar conditions. We examined a potential case of adaptation to novel visual environments in a species flock (Great Lakes salmonids, genus <i>Coregonus</i>) using a new amplicon genotyping protocol on the Oxford Nanopore Flongle. Five visual opsin genes were sequenced for individuals of <i>C. artedi</i>,<i> C. hoyi</i>,<i> C. kiyi</i>, and <i>C. zenithicus.</i> Comparisons revealed species-specific differences in a key spectral tuning amino acid in <i>rhodopsin</i> (Tyr261Phe substitution), suggesting local adaptation of <i>C. kiyi </i>to the blue-shifted depths of Lake Superior. Ancestral state reconstruction demonstrates that parallel evolution and "toggling" at this amino acid residue has occurred several times across the fish tree of life, resulting in identical changes to the visual systems of distantly related taxa across replicated environmental gradients. Our results suggest that ecological differences and local adaptation to distinct visual environments are strong drivers of both evolutionary parallelism and diversification.</p>

opencc-zeroDec 2020View details →
dryad32/100

Data from: Adaptation and acclimation of aerobic exercise physiology in Lake Whitefish ecotypes (Coregonus clupeaformis)

The physiological mechanisms underlying local adaptation in natural populations of animals, and whether the same mechanisms contribute to adaptation and acclimation, are largely unknown. Therefore, we tested for evolutionary divergence in aerobic exercise physiology in laboratory bred, size-matched crosses of ancestral, benthic, normal Lake Whitefish (Coregonus clupeaformis) and derived, limnetic, more actively-swimming 'dwarf' ecotypes. We acclimated fish to constant swimming (emulating limnetic foraging) and control conditions (emulating normal activity levels) to simultaneously study phenotypic plasticity. We found extensive divergence between ecotypes: dwarf fish generally had constitutively higher values of traits related to oxygen transport (ventricle size) and use by skeletal muscle (percent oxidative muscle, mitochondrial content), and also evolved differential plasticity of mitochondrial function (Complex I activity and flux through Complexes I-IV and IV). The effects of swim-training were less pronounced than differences among ecotypes and the traits which had a significant training effect (ventricle protein content, ventricle MDH activity and muscle Complex V activity) did not differ among ecotypes. Only one trait, ventricle mass, varied in a similar manner with acclimation and adaptation and followed a pattern consistent with genetic accommodation. Overall, the physiological and biochemical mechanisms underlying acclimation and adaptation to swimming activity in Lake Whitefish generally differ.

opencc-zeroDec 2014View details →
dryad32/100

Data from: Contemporary factors influencing genetic diversity in the Alaska humpback whitefish Coregonus clupeaformis complex

Thirteen microsatellite loci were used to address three hypotheses regarding genetic diversity in the humpback whitefish Coregonus clupeaformis complex in Alaska. The test results provided further insight into the factors influencing C. clupeaformis complex population structure and level of genetic variation. First, themicrosatellite data did not provide evidence of two spatially distinct Beringian and Eurasian refugial groups as revealed in previous phylogeographic analyses ofmitochondrialDNAvari- ation. Rather, the population structure inferred from the microsatellite variation appears to reveal the influence of factors on amore recent time scale, including gene flowamong the refugial groups and iso- lation of some anadromous and freshwater resident populations. Second, anadromous C. clupeaformis complex collections exhibited higher intra-population genetic diversity than freshwater resident col- lections. This outcome is consistent with previous meta analyses suggesting that freshwater resident populations probably have smaller historical effective population sizes and less conspecific gene flow because the habitat tends to be smaller and supports fewer and smaller populations. Finally, the analy- sis of contemporary immigration rates was consistent with, but did not provide statistical support for, the hypothesis that gene flow among anadromous C. clupeaformis complex populations along coastal Alaska is influenced by the Alaska Coastal Current. Further studies are needed to evaluate gene flow among coastal Alaska C. clupeaformis complex populations. Published

opencc-zeroDec 2017View details →
dryad32/100

Data from: The transcriptomics of sympatric dwarf and normal lake whitefish (Coregonus clupeaformis spp., Salmonidae) divergence as revealed by next-generation sequencing

Gene expression divergence is one of the mechanisms thought to be involved in the emergence of incipient species. Next-generation sequencing has become an extremely valuable tool for the study of this process by allowing whole transcriptome sequencing, or RNA-Seq. We have conducted a 454 GS-FLX pyrosequencing experiment in order to refine our understanding of adaptive divergence between dwarf and normal lake whitefish species (Coregonus clupeaformis spp.). The objectives were to: (1) investigate transcriptomic divergence as measured by liver RNA-Seq; (2) test the correlation between divergence in expression and sequence polymorphism and (3) investigate the extent of allelic imbalance. We also compared the results of RNA-seq with those of a previous microarray study performed on the same fish. Following de novo assembly, results showed that normal whitefish over-expressed more contigs associated with protein synthesis while dwarf fish over-expressed more contigs related to energy metabolism, immunity and DNA replication and repair. Moreover, 63 SNPs showed significant allelic imbalance, and this phenomenon prevailed in the recently diverged dwarf whitefish. Results also showed an absence of correlation between gene expression divergence as measured by RNA-Seq and either polymorphism rate or sequence divergence between normal and dwarf whitefish. This study reiterates an important role for gene expression divergence, and provides evidence for allele-specific expression divergence as well as evolutionary decoupling of regulatory and coding sequences in the adaptive divergence of normal and dwarf whitefish. It also demonstrates how next-generation sequencing can lead to a more comprehensive understanding of transcriptomic divergence in a young species pair.

opencc-zeroDec 2009View details →
dryad32/100

Data from: Testing the devil's impact on southern Baltic and North Sea basin whitefish (Coregonus spp.) diversity

Background: The diversity and phylogeny of whitefish of the genus Coregonus is complex, and includes many endemic species of high conservation concern. However, because of commercial importance of whitefish fisheries, stockings and translocations have occurred repeatedly, which challenges the identification of local populations as conservation units. This study analyses the phylogenetic relationships of 15 contemporary and two historical populations of lake-resident and anadromous whitefish (Coregonus spp.) from the southern Baltic and North Sea basins. We elucidated the complex history of Lake Schaal (northern Germany) whitefish, for which a local tale suggests that the devil threw whitefish from the Central European Lake Constance into this lake. Studies from the early 20th century indeed suggested numerous stocking events for Lake Schaal from Lake Constance, from Estonian/Russian Lake Peipsi and from the anadromous whitefish of the Baltic Sea. Results: Analyses of 13 microsatellite markers showed that Lake Constance whitefish are unrelated to any northern Germany whitefish population, including the contemporary whitefish population from Lake Schaal. Comparison with four historical specimens further showed that the native Lake Schaal whitefish (C. holsatus) vanished from the lake, but has survived as a non-native population in the north German Lake Drewitz. The whitefish currently occurring in Lake Schaal and three adjacent lakes are identified as C. maraenoides, introduced from Lake Peipsi. The contemporary anadromous whitefish populations from the Baltic (German and Finnish coast) and the German River Treene (North Sea basin, stocked from Danish River Vida) grouped together, but showed significant genetic differentiation. The 14 historical specimens of C. oxyrinchus from Rivers Rhine and Schelde were assigned to several contemporary whitefish populations, but among them only one specimen was assigned to the contemporary River Treene population. Therefore, we do not support the view that the whitefish from River Vida/Treene are identical with the historical C. oxyrinchus. Conclusions: Our study demonstrates that lake and anadromous whitefish in the Baltic and North Sea basins reflect a complex phylogeography, which is further blurred by the effects of repeated stocking and translocations. To identify conservation units, the genetic identity of each population has to be scrutinized.

opencc-zeroDec 2017View details →
zenodo32/100

Fig. 1 in Morphological specificities of vendace (Salmoniformes: Salmonidae: Coregoninae: Coregonus albula) population in Lake Pleshcheyevo (the Volga River basin): relationships of two phylogenetic lineages in a new zone of secondary contact

Fig. 1 Map of European north of Russia marking the selected sampling location. 1, 2—Lake Goreloye [16] and Lake Bol'shoye Krasnoye [35] (Bol'shoy Solovetsky Island); 3—Lake Beloye [16]; 4—Lake Pleshcheyevo: lineages E [44] and ALBP2 [29]; 5—Lake Vishtynetskoye (Kaliningrad region) [28]. In square brackets, the sample size is shown

opennotspecifiedAug 2018View details →
zenodo32/100

Fig. 3 in Morphological specificities of vendace (Salmoniformes: Salmonidae: Coregoninae: Coregonus albula) population in Lake Pleshcheyevo (the Volga River basin): relationships of two phylogenetic lineages in a new zone of secondary contact

Fig. 3 Plots of scores for the first two discriminant functions for size-free morphometric data for six vendace (C. albula) groups. 1—Lake Pleshcheyevo, lineage E; 2—Lake Pleshcheyevo, lineage ALBP2; 3—Lake Goreloye; 4—Lake Bol'shoye Krasnoye; 5—Lake Vishtynetskoye; 6—Lake Beloye. 95% confidence ellipses are shown

opennotspecifiedAug 2018View details →
dryad32/100

Data from: Convergence in organ size but not energy metabolism enzyme activities among wild Lake Whitefish (Coregonus clupeaformis) species pairs

The repeated evolution of similar phenotypes by similar mechanisms can be indicative of local adaptation, constraints or biases in the evolutionary process. Little is known about the incidence of physiological convergence in natural populations, so here we test whether energy metabolism in 'dwarf' and 'normal' Lake Whitefish evolves by similar mechanisms. Prior genomic and transcriptomic studies have found that divergence in energy metabolism is key to local adaptation in whitefish species pairs, but that distinct genetic and transcriptomic changes often underlie phenotypic evolution among lakes. Here, we predicted that traits at higher levels of biological organization, including the activities of energy metabolism enzymes (the product of enzyme concentration and turnover rate) and the relative proportions of metabolically active tissues (heart, liver, skeletal muscle), would show greater convergence than genetic and transcriptomic variation. We compared four whitefish species pairs and found convergence in organ size whereby all dwarf whitefish populations have a higher proportion of red skeletal muscle, three have relatively larger livers and two have relatively larger ventricles than normal fish. On the other hand, hepatic and muscle enzyme activities showed little convergence and were largely dependent on lake of origin. Only the most genetically divergent species pair (Cliff Lake) displayed white muscle enzyme activities matching results from laboratory-reared normal and dwarf whitefish. Overall, these data show convergence in the evolution of organ size, but not in the activities of candidate enzymes of energy metabolism, which may have evolved mainly as a consequence of demographic or ecological differences among lakes.

opencc-zeroDec 2015View details →
dryad32/100

Data and Code for: Isotopic Niche Size of Coregonus artedi (sensu lato) Increases in the Presence of Mysis diluviana, Expanded Habitat Use and Phenotypic Diversity

<p>Post-glacial colonization of lakes in Algonquin Park, Ontario, Canada resulted in food webs with cisco (<i>Coregonus artedi</i> sensu lato) and either <i>Mysis</i> <i>diluviana</i> or <i>Chaoborus </i>spp. as the dominant diel migrator. <i>Mysis</i> as prey, its diel movements and benthic occupancy, are hypothesized to be key elements of ecological opportunity for cisco diversity in the Laurentian Great Lakes.  If correct, the hypothesis strongly implies that lakes with <i>Mysis</i> would have greater trophic niche size and drive greater adaptive radiation of cisco forms relative to lakes without <i>Mysis</i>. The dichotomy in diel migrator in Algonquin Park lakes was an opportunity to assess the isotopic niche size of cisco (δ<sup>15</sup>N and δ<sup>13</sup>C) and determine if niche size expands with <i>Mysis </i>presence. We found the presence of <i>Mysis</i> is necessary to expand isotopic niche size in our study lakes. The use of habitats not typically associated with the ancestral form of cisco (e.g., benthic habitats) and phenotypic diversity (blackfin and cisco) also continue to expand niche size in <i>Mysis</i>-based food webs. Partial ecological speciation based on a large niche space appears to be present in one lake (Cauchon Lake) where use of alternative habitats is the only real difference in cisco. The presence of blackfin expands niche space in Cedar and Radiant Lakes. This was not matched in Hogan Lake where niche space was relatively smaller with similar forms. Possible reasons for this discrepancy may be related to the asymmetric basin of Hogan Lake and whether the two forms overlap during cool and cold-water periods of the annual temperature cycle. By comparing trophic niche size among lakes with and without <i>Mysis</i> we conclude that <i>Mysis</i> provides a key ecological opportunity for cisco diversity in our study lakes and likely more widely.</p>

opencc-zeroAug 2021View details →
dryad32/100

Data from: The transcriptomics of sympatric dwarf and normal lake whitefish (Coregonus clupeaformis spp., Salmonidae) divergence as revealed by next-generation sequencing

Open the record for dataset details and reuse information.

publicAug 2010View details →

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