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60 results for “Brown trout (Salmo trutta)”
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>
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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Testing for population differences in evolutionary responses to pesticide pollution in brown trout (Salmo trutta)
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Whole-genome resequencing confirms reproductive isolation between sympatric demes of brown trout (Salmo trutta) detected with allozymes
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Associations between metabolic traits and growth rate in brown trout (Salmo trutta) depend on thermal regime
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Supplementary information for: Redundancy analysis, genome-wide association studies, and the pigmentation of brown trout (Salmo trutta L.)
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Data from: Long-term mark-recapture and growth data for large-sized migratory brown trout (Salmo trutta) from Lake Mjøsa, Norway
<p>This data package contains two unique publicly available time series of individual-based data originating from a 51-year mark-recapture study of a land-locked population of large-sized migratory brown trout (<em>Salmo trutta</em>) in Norway: the Hunder trout. In the period 1966-2015, nearly 14,000 adult Hunder trout have been captured and individually marked during their spawning migration from Lake Mjøsa to the river Gubrandsdalslågen. Almost a third of those individuals were later recaptured alive during a later spawning run and/or captured by fishermen and reported dead or alive. This has resulted in the first data series: a mark-recapture-recovery dataset spanning half a century and more than 18,000 capture records. The second data series consists of additional data on juvenile and adult growth and life-history schedules from half of the marked individuals, obtained by means of scale sample analysis. The two datasets offer a rare long-term perspective on individuals and population dynamics and provide unique opportunities to gain insights into questions surrounding management, conservation, and restoration of migratory salmonid populations and freshwater ecosystems.<br> </p>
Oxygen consumption of juvenile brown trout, Salmo trutta, under varying thermal conditions during embryogenesis
<p>Climate change is predicted to increase the future thermal conditions in northern latitudes with the potential effect of altering the metabolic scope and potential fitness of aquatic ectotherms. We experimentally tested the effect of elevated egg incubation temperature on the metabolic scope in juvenile brown trout (<i>Salmo trutta</i>). Brown trout cohorts from anadromous and resident crosses were raised from egg through exogenous feeding of juveniles in either natural river temperatures (cold) or elevated (+ 3 °C, warm) temperatures. In respirometry studies, we measured oxygen consumption rates of juvenile trout from both incubation temperatures and all possible breeding crosses after they were feeding exogenously and at an ambient temperature of 13 °C. These measures were taken over a period where the trout were resting, allowing for the determination of standard metabolic rate (SMR), and followed by a chase to exhaustion allowing for the measure of the maximum metabolic rate (MMR). The aerobic scope (AS) of these juveniles from four anadromous-resident crosses and from both incubation temperatures could then be calculated as AS = MMR – SMR. This dataset represents a key to all respiration trials including: fish embryonic incubation temperature, parental cross, fish total length (mm), calculated mass (g) per fish, ventilation rate (opercular beats/min), and water temperature per respiration trial. For each fish tested, the dissolved oxygen levels in the respirometry chamber were recorded continuously through periods of static respiration and recharge flow in 15 sec intervals for the duration of the trial testing periods (~ 5-7 hrs). These data were evaluated for SMR and MMR using a respiration program (respR) in the R statistical program.</p>
Data from: Potential of a no-take marine reserve to protect home ranges of anadromous brown trout (Salmo trutta)
1. The extent to which no‐take marine reserves can benefit anadromous species requires examination. 2. Here, we used acoustic telemetry to investigate the spatial behavior of anadromous brown trout (sea trout, Salmo trutta) in relation to a small marine reserve(~1.5 km2) located inside a fjord on the Norwegian Skagerrak coast. 3. On average, sea trout spent 42.3 % (±5.0% SE) of their time in the fjord within the reserve, a proportion similar to the area of the reserve relative to that of the fjord. 4. On average, sea trout tagged inside the reserve received the most protection, although the level of protection decreased marginally with increasing home range size. Furthermore, individuals tagged outside the reserve received more protection with increasing home range size, potentially opposing selection toward smaller home range sizes inflicted on fish residing within reserves, or through selective fishing methods like angling. 5. Monthly sea trout home ranges in the marine environment were on average smaller than the reserve, with a mean of 0.430 (±0.0265 SE) km2. Hence, the reserve is large enough to protect the full home range of some individuals residing in the reserve. 6. Synthesis and applications: In general, the reserve protects sea trout to a varying degree depending on their individual behavior. These findings highlight evolutionary implications of spatial protection and can guide managers in the design of marine reserves and networks that preserve variation in target species' home range size and movement behavior.
Data from: Effects of host genetics and environment on egg-associated microbiotas in brown trout (Salmo trutta)
Recent studies found fish egg-specific bacterial communities that changed over the course of embryogenesis, suggesting an interaction between the developing host and its microbiota. Indeed, single-strain infections demonstrated that the virulence of opportunistic bacteria is influenced by environmental factors and host immune genes. However, the interplay between a fish embryo host and its microbiota has not been studied yet at the community level. To test whether host genetics affects the assemblage of egg-associated bacteria, adult brown trout (Salmo trutta) were sampled from a natural population. Their gametes were used for full-factorial in vitro fertilizations to separate sire from dam effects. In total, 2520 embryos were singly raised under experimental conditions that differently support microbial growth. High-throughput 16S rRNA amplicon sequencing was applied to characterize bacterial communities on milt and fertilized eggs across treatments. Dam and sire identity influenced embryo mortality, time until hatching and composition of egg-associated microbiotas, but no link between bacterial communities on milt and on fertilized eggs could be found. Elevated resources increased embryo mortality and modified bacterial communities with a shift in their putative functional potential. Resource availability did not significantly affect any parental effects on embryo performance. Sire identity affected bacterial diversity that turned out to be a significant predictor of hatching time: embryos associated with high bacterial diversity hatched later. We conclude that both host genetics and the availability of resources define diversity and composition of egg-associated bacterial communities that then affect the life history of their hosts.
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