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74 results for “Salmo trutta”
Figure 23 in A description of Echinorhynchus baeri Kostylew, 1928 (Acanthocephala: Echinorhynchidae) from Salmo trutta in Turkey, with notes on synonymy, geographical origins, geological history, molecular profile, and X-ray microanalysis
Figure 23. The printout of the elemental scan (EDXA) for the common large hooks for E. baeri. Note height of calcium and phosphorus peaks.
Figures 11–16 in A description of Echinorhynchus baeri Kostylew, 1928 (Acanthocephala: Echinorhynchidae) from Salmo trutta in Turkey, with notes on synonymy, geographical origins, geological history, molecular profile, and X-ray microanalysis
Figures 11–16. SEM of mature specimens of Echinorhynchus baeri from S. trutta in Turkey. 11. Proboscis of a female specimen. Note variation in hook size; smaller hooks at base 12. Anterior hooks. Note indentation at the base of the hooks (arrow). 13. Double miniature hooks at apical end of proboscis (arrow); occasionally one miniature apical hook present. 14. Higher magnification of an apical hook; note perforations. This hook has a low Ca reading (see EDAX data). 15. A gallium cut normal hook from the mid-proboscis. Note prominent calcified root. 16. A gallium cut miniature apical hook. Note the hollow base and absence of roots.
Figures 3–10 in A description of Echinorhynchus baeri Kostylew, 1928 (Acanthocephala: Echinorhynchidae) from Salmo trutta in Turkey, with notes on synonymy, geographical origins, geological history, molecular profile, and X-ray microanalysis
Figures 3–10. Specimens of Echinorhynchus baeri collected from Salmo trutta in Turkey and proboscis hook rows of specimens of E. sevani and E. baeri, respectively, collected from Salmo ischchan in Lake Sevan, Armenia. 3. A male specimen. Note the unique amoeboid, lobulated giant nuclei in the long lemnisci (arrow), the prominent retractor muscles, and the near contiguous ovoid-elongate testes. Proboscis is usually bent ventrad. 4. A gravid female with typically long lemnisci. The reproductive system is obscured by eggs. 5. The female reproductive system. Note the very long and slender uterus and the longitudinal bulge near its distal end (upper arrow). Also note the laterally extending uterine glands at the base of the uterine bell (lower arrow). 6. The proboscis of the male specimens in Fig. 3. Note the uninucleated round cells (arrow). 7. A ripe egg with prominent polar prolongation of the fertilization membrane. 8. A ventral row of proboscis hooks from a male specimen. Note the lack of root manubria anteriorly and the gradual development of manubria with decreasing size of roots posteriorly. 9. Lateral view of hooks of E. sevani after Dinnik (1932) showing variable manubriation in all hook roots ''A = first two hooks. B & C = middle hooks, D & E = last two hooks of the vertical row.'' Measurement bars were not provided. 10. Lateral view of hooks of E. baeri after Kostylew (1928) showing the absence of manubria in all hook roots and the virtual absence of roots of the basal hook; measurement bars were not provided.
Figures 17–22 in A description of Echinorhynchus baeri Kostylew, 1928 (Acanthocephala: Echinorhynchidae) from Salmo trutta in Turkey, with notes on synonymy, geographical origins, geological history, molecular profile, and X-ray microanalysis
Figures 17–22. SEM of mature specimens of Echinorhynchus baeri from S. trutta in Turkey. 17. Sensory pore (arrow) at the base of the proboscis. No micropores here. 18. Epidermal micropores at midtrunk. 19. The posterior end of a female specimen showing terminal gonopore. 20. Egg mass from a dissected female specimen. 21. Bursa of a male specimen. 22. The opening of the bursa showing one ring of sensory knobs (arrow).
Figure 2 in A description of Echinorhynchus baeri Kostylew, 1928 (Acanthocephala: Echinorhynchidae) from Salmo trutta in Turkey, with notes on synonymy, geographical origins, geological history, molecular profile, and X-ray microanalysis
Figure 2. The drainage system of the historic Inner Anatolian freshwater Lake of the Middle Miocene-Pliocene period based on Demirsoy (2008). The drainage is shown to include the Aras, Murat, and Euphrates rivers. Striped lines mark the present borders and coasts of Turkey.
Figure 1 in Feeding habit of Brown trout (Salmo trutta fario) in upper parts of river Swat, Pakistan
Figure 1. Percentage of N,W, FO and IRI of various diet components. Table 2. GSI and fullness index of various length groups of brown trout.
Figure 1 in Haplotype diversity of brown trout Salmo trutta (L.) in the broader Iron Gate area
Figure 1. Sampling sites on the streams Brnjica (1), Dobrinjska reka (2), Kožica (3), Mala Boljetinska reka (4), Zlatica (5), Porečka reka (6), Rečka reka (7), Vratna (8), and Zamna (9) in the broader Iron Gate area with the position in the Balkan region given in small figure in lower left.
Figure 2 in Haplotype diversity of brown trout Salmo trutta (L.) in the broader Iron Gate area
Figure 2. Relationships between CR haplotypes of brown trout populations in the broader Iron Gate area constructed using maximum likelihood (A) and maximum parsimony (B) methods (numbers at particular branches represent bootstrap probabilities; bootstrap values under 40% are not represented).
Testing for population differences in evolutionary responses to pesticide pollution in brown trout (Salmo trutta)
<p>Pesticides are often toxic to non-target organisms, especially to those living in rivers that drain agricultural land. The brown trout (<i>Salmo trutta</i>) is a keystone species in many such rivers, and natural populations have hence been chronically exposed to pesticides over multiple generations. The introduction of pesticides decades ago could have induced evolutionary responses within these populations. Such a response would be predicted to reduce the toxicity over time but also deplete any additive genetic variance for the tolerance to the pesticides. If so, populations are now expected to differ in their susceptibility and in the variance for the tolerance depending on the pesticides they have been exposed to. We sampled breeders from seven natural populations that differ in their habitats and that show significant genetic differentiation. We stripped them for their gametes and produced 118 families by <i>in vitro</i> fertilization. We then raised 20 embryos per family singly in experimentally controlled conditions and exposed them to one of two ecologically relevant concentrations of either the herbicide S-metolachlor or the insecticide diazinon. Both pesticides affected embryo and larval development at all concentrations. We found no statistically significant additive genetic variance for tolerance to these stressors within or between populations. Tolerance to the pesticides could also not be linked to variation in carotenoid content of the eggs. However, pesticide tolerance was linked to egg size, with smaller eggs being more tolerant to the pesticides than larger eggs. We conclude that an evolutionary response to these pesticides is currently unlikely, and that (i) continuous selection in the past has either depleted genetic variance in all the populations we studied, or (ii) that exposure to the pesticides never induced an evolutionary response. The observed toxicity selects against large eggs that are typically spawned by larger and older females.</p>
Data from: Genetic consequences of improved river connectivity in brown trout (Salmo trutta)
<p>Fragmentation of watercourses poses a significant threat to biodiversity, particularly for migratory fish species. Mitigation measures such as fishways, have been increasingly implemented to restore river connectivity and support fish migration. The effects of such restoration efforts are typically tested using telemetry and fisheries methods, which do not fully capture the broader population movements that may have important consequences for population viability. We performed a before-and-after control-impact (BACI) study using genetic tools (SNPs) to investigate the effect of a newly implemented fishway, aiming to enhance upstream spawning migration of brown trout (<em>Salmo trutta</em> Linnaeus) in a reservoir with two headwater tributaries fragmented by man-made weirs. Another reservoir with two barrier-free tributaries was also analysed as a control. Our results showed that the isolated brown trout population was spawning in the reservoir before the installation of the fishway, and we found genetic structuring and differentiation between fragmented headwater tributaries before the fishway construction, but not in the control reservoir. Unexpectedly, after the fishway construction we observed signals consistent with increased genetic differentiation between populations of newly recruited juvenile fish in the reservoir tributary and fish in the reservoir. We propose this was caused by newly enabled philopatric behaviour of brown trout to their natal spawning tributary. In contrast, we did not find any genetic changes in the tributary without a fishway or in the barrier-free reservoir system. Given the scarcity of similar studies, we advocate for an increased use of genetic analyses in BACI studies to monitor and evaluate the effect of efforts to restore habitat connectivity and inform future management strategies.</p>
Whole-genome resequencing confirms reproductive isolation between sympatric demes of brown trout (Salmo trutta) detected with allozymes
<p>The sympatric existence of genetically distinct populations of the same species remains a puzzle in ecology. Coexisting salmonid fish populations are known from over 100 freshwater lakes. Most studies of sympatric populations have used limited numbers of genetic markers making it unclear if genetic divergence involves only certain parts of the genome. We return to the first reported case of salmonid sympatry, initially detected through contrasting homozygosity at a single allozyme locus (coding for lactate dehydrogenase A) in brown trout in the small Lakes Bunnersjöarna, Sweden. First, we verify the existence of the two coexisting demes using a 96-SNP fluidigm array. We then apply whole-genome resequencing of pooled DNA to explore genome-wide diversity within and between these demes; nucleotide diversity is higher in Deme I than in Deme II. Furthermore, strong genetic divergence is observed with genome-wide <i>F</i><sub>ST</sub>≈0.2. Comparing with similar data from other lakes, this divergence is of similar magnitude as that between reproductively isolated populations. Individual whole-genome resequencing of two individuals per deme suggests higher inbreeding in Deme II vs. Deme I, indicating different degree of isolation. Finally, we located two gene-copies for LDH-A<i> </i>and find divergence between demes in a regulatory section of one of these genes. However, we did not find a perfect fit between the sequence data and previous allozyme results, and this will require further research. Our data demonstrates genome-wide divergence governed mostly by genetic drift but also by diversifying selection in coexisting populations. This type of hidden biodiversity needs consideration in conservation management.</p>
Supplementary information for: Redundancy analysis, genome-wide association studies, and the pigmentation of brown trout (Salmo trutta L.)
<p><span>The association of molecular variants to phenotypic variation is a main issue in biology, often tackled with genome-wide association studies (GWAS). GWAS are challenging, with increasing, but still limited use in evolutionary biology. We used redundancy analysis (RDA) as a complimentary ordination approach to single- and multi-trait GWAS to explore the molecular basis of pigmentation variation in brown trout (<em>Salmo</em> <em>trutta</em>) belonging to wild populations impacted by hatchery fish. Based on 75,684 single nucleotide polymorphic (SNP) markers, RDA, single- and multi-trait GWAS allowed us to extract 337 independent "colour patterning loci" (CPLs) associated with trout pigmentation traits, such as the number of red and black spots on flanks. Collectively, these CPLs (<em>i</em>) mapped onto 35 out of 40 brown trout linkage groups indicating a polygenic genomic architecture of pigmentation, (<em>ii</em>) were found associated with</span><span> 218 </span><span>candidate genes, including 197 genes </span><span>formerly mentioned in the literature dealing with skin pigmentation, skin patterning, differentiation or structure notably in a close relative, the rainbow trout (<em>Onchorhynchus</em> <em>mykiss</em>)</span><span>, and (<em>iii</em>) related to functions relevant to pigmentation variation (e.g., calcium- and ion-binding, cell adhesion). Annotated CPLs include genes with well-known pigmentation effects (e.g., PMEL, SLC45A2, SOX10), but also markers associated with genes formerly found expressed in rainbow or brown trout skins. RDA was also shown useful to investigate management issues, especially the dynamics of trout pigmentation submitted to several generations of hatchery introgression.</span></p>
Figure 2 in Feeding habit of Brown trout (Salmo trutta fario) in upper parts of river Swat, Pakistan
Figure 2. Month wise number of stomach and empty stomachs.
Figure 4 in Feeding habit of Brown trout (Salmo trutta fario) in upper parts of river Swat, Pakistan
Figure 4. Full gut weight and gut contents among various length groups.
Size, connectivity and edge effects of stream habitats explain spatiotemporal variation in brown trout (Salmo trutta) density
<p>Ecological theory postulates that size and isolation of habitat patches impact the colonization/extinction dynamics that determine community species richness and population persistence. Given the key role of lotic habitats for life history completion in rheophilic fish, evaluating how the distribution of swift-flowing habitats affects the abundance and dynamics of subpopulations is essential. Using extensive electrofishing data, we show that merging island biogeography with meta-population theory, where lotic habitats are considered as islands in a lentic matrix, can explain spatiotemporal variation in occurrence and density of brown trout (Salmo trutta). Subpopulations in larger and less isolated habitat patches had higher average densities and smaller between-year density fluctuations. Larger habitat patches also had lower predicted risk of excessive zero catches, indicative of lower extinction risk. Trout density further increased with distance from the edge of adjacent lentic habitats with predator (Esox lucius) presence, suggesting that edge- and matrix-related mortality contributes to the observed patterns. These results can help reduce the negative impacts that habitat loss and fragmentation have on biodiversity, by stressing the importance of suitable habitat size and connectivity, and aid in prioritization of habitat restoration, dam removal and reintroduction programs aimed at vitalizing declining and locally extinct riverine fish populations.</p>
Associations between metabolic traits and growth rate in brown trout (Salmo trutta) depend on thermal regime
<p class="academicstyle"><span><span><span><span><span><span><span><span><span><span><span>Metabolism defines the energetic cost of life, yet we still know relatively little about why intraspecific variation in metabolic rate arises and persists. Spatiotemporal variation in selection potentially maintains differences, but relationships between metabolic traits (standard metabolic rate (SMR), maximum metabolic rate (MMR), and aerobic scope) and fitness across contexts are unresolved. We show that associations between SMR, MMR, and growth rate (a key fitness-related trait) vary depending on thermal regime (a potential selective agent) in offspring of wild-sampled brown trout from two populations reared for ~15 months in either a cool or warm (+ 1.8°C) regime.<i> </i>SMR was positively related to growth in the cool, but negatively related in the warm regime. The opposite patterns were found for MMR and growth associations (positive in warm, negative in cool regime). Mean SMR, but not MMR, was lower in warm regimes within both populations (i.e., basal metabolic costs were reduced at higher temperatures), consistent with an adaptive acclimation response that optimises growth. Metabolic phenotypes thus exhibited a thermally sensitive metabolic 'floor' and a less flexible metabolic 'ceiling'. Our findings suggest a role for growth-related fluctuating selection in shaping patterns of metabolic variation that is likely important in adapting to climate change.</span></span></span></span></span></span></span></span></span></span></span></p>
Eco-evolutionary responses of a cold-water fish (Salmo trutta) to the combined effects of an emerging pathogen and temperature
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Stronger parental than temperature effects on methylation in juvenile brown trout (Salmo trutta)
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Size, connectivity and edge effects of stream habitats explain spatiotemporal variation in brown trout (Salmo trutta) density
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Data from: Genetic consequences of improved river connectivity in brown trout (Salmo trutta)
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