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19 results for “Perca fluviatilis”
Sagittal otolith of Perca fluviatilis (total length=17 cm) from bottom (distal, concave, anti-sulcus side) and top (proximal, convex, with sulcus acusticus) view.
<p>This image shows the left sagittal otolith of <em>Perca fluviatilis </em>(total length=17 cm) from bottom (distal, concave, anti-sulcus side) and top (proximal, convex, with sulcus acusticus) view.</p>
Fig. 3 in Development Stability And Cytogenetic Homeostasis Of Perca Fluviatilis (Perciformes, Percidae) In The Rivers Of Rivne Region
Fig. 3. Comparison of Morphological and Cytogenetic Homeostasis Samples of P. fluviatilis in the Rivers of Rivne Region.
Fig. 1 in Development Stability And Cytogenetic Homeostasis Of Perca Fluviatilis (Perciformes, Percidae) In The Rivers Of Rivne Region
Fig. 1. Frequency of Nuclear Damages of P. fluviatilis Peripheral Blood Erythrocytes in the Rivers in Rivne Region: 1 — Styr River; 2 — Sluch River; 3 — Horyn River; 4 — Ustia River; 5 — Zamchysko River; 6 — Stubelka River; 7 — Ikva River.
Fig. 2 in Subtle transcriptomic response of Eurasian perch (Perca fluviatilis) associated with Triaenophorus nodulosus plerocercoid infection
Fig. 2. MA and volcano plots comparing infected and uninfected spleen samples (a & b) and liver samples (c & d). In the MA plots (a & c), the log counts and the log fold change are represented on the x- and y-axis, respectively. For each volcano plot (b & d), log fold change is represented on the x-axis and the –log10 p-value on the y-axis, respectively. Positive fold change corresponds to upregulated genes in infected individuals.
Fig. 1. Differentially expressed genes between infected and uninfected P in Subtle transcriptomic response of Eurasian perch (Perca fluviatilis) associated with Triaenophorus nodulosus plerocercoid infection
Fig. 1. Differentially expressed genes between infected and uninfected P. fluviatilis in a) spleen and b) liver tissues. Filled-in and empty boxes on the top of each plot represent infected and uninfected individuals, respectively. N/A indicates unknown protein.
Metabolic rate data and code for: Intra-specific differences in metabolic rates shape carbon stable isotope trophic discrimination factors of muscle tissue in the common teleost Eurasian perch (Perca fluviatilis)
<p>Metabolic rate data and code for: Intra-specific differences in metabolic rates shape carbon stable isotope trophic discrimination factors of muscle tissue in the common teleost Eurasian perch (Perca fluviatilis)</p> <p> </p> <p>The raw data and R-code used to calculate SMR used in the analysis. </p>
Genomics of humic adaptation in Eurasian perch (Perca fluviatilis): SNP genotypes of 32 perch individuals, supplementary figures and tables
<p>Extreme <span>environments are inhospitable to the majority of species, but some organisms are able to survive in such hostile conditions due to evolutionary adaptations. For example, </span><span>m</span><span>odern bony fishes have colonized various aquatic environments, including perpetually dark,</span><span> hypoxic, hypersaline and toxic habitats</span><span>. </span><span>Eurasian perch (</span><em>Perca fluviatilis</em><span>) is among the few fish species of northern latitudes that is able to live in very acidic humic lakes. Such lakes represent almost "nocturnal" environments; they contain high levels of dissolved organic matter, which in addition to creating a challenging visual environment, also affects a large number of other habitat parameters and biotic interactions. To reveal the genomic targets of humic-associated selection, we performed whole-genome sequencing of perch originating from 16 humic and 16 clear-water lakes in northern Europe. We identified over 800,000 SNPs, of which >10,000 were identified as potential candidates under selection (associated with >3,000 genes) using multiple outlier approaches. Our findings suggest that adaptation to the humic environment may involve hundreds of regions scattered across the genome. Putative signals of adaptation were detected in genes and gene families with diverse functions, including organism development and ion transportation. The observed excess of variants under selection in regulatory regions highlights the importance of adaptive evolution via regulatory elements, rather than via protein sequence modification. Our study demonstrates the power of whole-genome analysis to illuminate multifaceted nature of humic adaptation and provides the foundation for further investigation of causal mutations underlying phenotypic traits of ecological and evolutionary importance.</span></p>
Data from: Intra-population variation in reproductive timing co-varies with thermal plasticity of offspring performance in perch (Perca fluviatilis)
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Genomics of humic adaptation in Eurasian perch (Perca fluviatilis): SNP genotypes of 32 perch individuals, supplementary figures and tables
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Figure 1 from: Juhásová Ľ, Radačovská A, Bazsalovicsova E, Miklisová D, Bindzárová-Gereľová M, Králová-Hromadová I (2019) A study of the endohelminths of the European perch Perca fluviatilis L. from the central region of the Danube river basin in Slovakia. ZooKeys 899: 47-58. https://doi.org/10.3897/zookeys.899.39638
Figure 1 The schematic presentation of sampling sites in Slovak part of the Danube. 1, Karloveské river branch (48°8'46.08"N, 17°3'50.33"E); 2, Starohájske river branch (48°6'11.50"N, 17°7'56.19"E); 3, Jarovecké river branch (48°4'32.34"N, 17°8'23.90"E); 4, Biskupické river branch (48°5'15.45"N, 17°9'44.21"E); 5, Šulianske Lake (47°56'26.66"N, 17°25'42.55"E).
Figure 2 from: Juhásová Ľ, Radačovská A, Bazsalovicsova E, Miklisová D, Bindzárová-Gereľová M, Králová-Hromadová I (2019) A study of the endohelminths of the European perch Perca fluviatilis L. from the central region of the Danube river basin in Slovakia. ZooKeys 899: 47-58. https://doi.org/10.3897/zookeys.899.39638
Figure 2 Schematic presentation of prevalence of the parasites found in the five studied localities in autumn and spring.
Data for: Chasing away accurate results: exhaustive chase protocols underestimate maximum metabolic rate estimates in European perch Perca fluviatilis
<p>Data and R code for the publication: Chasing away accurate results: exhaustive chase protocols underestimate maximum metabolic rate estimates in European perch Perca fluviatilis</p>
Fig. 2 in Development Stability And Cytogenetic Homeostasis Of Perca Fluviatilis (Perciformes, Percidae) In The Rivers Of Rivne Region
Fig. 2. Fluctuating Asymmetry of P. fluviatilis Bilateral Meristic Features in the Rivers of Rivne Region: P — the number of rays in the pectoral and V — pelvic fins; sp.br. — the number of gill rakers on the first gill arch; f.br.— the number of petals in branchiostegal membrane; jj — number of scales in the lateral line; jj.sk — number of scales with touch tubules; squ.1 — the number of scales' rows above and; squ.2 — under the lateral line; squ. pl — the number of scales on the side of the caudal fin.
Figure 1 in Strong genetic difference of Eurasian perch Perca fluviatilis from two Alpine lakes used as founder populations for farming
Figure 1. – Maps of the studied lakes depicting sampling localities of Eurasian perch (Perca fluviatilis).
Figure 2 in Strong genetic difference of Eurasian perch Perca fluviatilis from two Alpine lakes used as founder populations for farming
Figure 2. – Bayesian clustering analysis of Eurasian perch population in Lake Geneva (LP1, LP2) and Lake Neuchâtel (NP1, NP2), during June 2012 (P1) and September 2012 (P2).
Figure 3 in Hatching success in brackish water of Perca fluviatilis eggs obtained from the western Baltic Sea
Figure 3. - Distribution of the overall clades of perch Perca fluviatilis in Europe, upper map and western Baltic Sea, lower map; Sweden (SWE), Denmark (DEN) and Germany (GER). The pie charts show the relative distribution within a sampling site, and the size of the pie chart the relative sample size. * = fusion of 2 sample sites, ** = fusion of 3 sample sites, *** = fusion of 5 sample sites, **** = fusion of 6 sample sites. Colours are uniform with colours in figure 2.
Figure 2 in Hatching success in brackish water of Perca fluviatilis eggs obtained from the western Baltic Sea
Figure 2. - Haplotype network of perch Perca fluviatilis in Europe (n = 707). Each line represents one base pair substitution. Two component numbers (x-y) refers to clade number (x) and haplotype (y). Circle sizes are relative to number of individuals (see text for references).
Figure 1 in Hatching success in brackish water of Perca fluviatilis eggs obtained from the western Baltic Sea
Figure 1. - Experimental setup for the egg hatching study of Perca fluviatilis. A, B: Fertilized egg strands curled up among reeds in the brackish water of Ishøj Harbour (ISH), 55°36'32"N, 12°23'10"E; C: Reduced egg strands in one liter aquaria containing water with salinities of 4, 7, 10 or 12‰ (n = 8 for each treatment); D: A total of 32 aquaria (one liter) placed in a 12°C water bath at Den Blå Planet National Aquarium Denmark, in order to stabilize temperature close to the optimal level for incubation of perch eggs.
Gene expression in eggs is influenced by the domestication process in Eurasian Perch (Perca fluviatilis)
GEO Series GSE119802. Perca fluviatilis. 31 samples. Type: Expression profiling by array.
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