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37 results for “Colossoma”
FIGURES 14–15 in Notozothecium janauachensis n. sp. (Monogenoidea: Dactylogyridae) from wild and cultured tambaqui, Colossoma macropomum (Teleostei: Characidae: Serrasalminae) in Brazil
FIGURES 14–15. Scanning electron micrographs of Notozothecium janauachensis n. sp. 14. Specimen showing the tegument with scaled annulations. 15. Specimen showing the dorsal vaginal aperture (V). Scale bars 50 m.
FIGURES 2–13. Notozothecium janauachensis n in Notozothecium janauachensis n. sp. (Monogenoidea: Dactylogyridae) from wild and cultured tambaqui, Colossoma macropomum (Teleostei: Characidae: Serrasalminae) in Brazil
FIGURES 2–13. Notozothecium janauachensis n. sp. 2. Copulatory complex, ventral view. 3. Copulatory complex, dorsal view. 4. Vagina and seminal receptacle, lateral view, right side. 5. Dorsal anchor. 6. Ventral anchor. 7. Dorsal bar. 8. Hook pair 1. 9. Hook pair 4. 10. Hook pair 5. 11. Hook pair 6. 12. Hook pair 7. 13. Ventral bar. Scale bar 20 m.
FIGURE 1. Notozothecium janauachensis n in Notozothecium janauachensis n. sp. (Monogenoidea: Dactylogyridae) from wild and cultured tambaqui, Colossoma macropomum (Teleostei: Characidae: Serrasalminae) in Brazil
FIGURE 1. Notozothecium janauachensis n. sp. 1. Composite illustration of adult, ventral view of specimen from the natural habitat. Scale bar 50 m.
Carbohydrate tolerance in Amazon tambaqui (Colossoma macropomum) revealed by NMR-metabolomics - Are glucose and fructose different sugars for fruit-eating fish?
<p>In the present study, two approaches were followed to evaluate the metabolic responses of tambaqui (Colossoma macropomum), a frugivorous species, to intraperitoneal (IP) administration of glucose (GLU) and fructose (FRU) in fed (FED) and 10-day fasted (FAST) esh. Glucose and fructose tolerance tests were performed to assess the car- bohydrate utilization and complementary NMR-metabolomics analyses were done to elucidate the impacts of sugar mobilization on the metabolic proele of plasma, liver and muscle. Blood was sampled from FED groups at 0, 3, 6 and 24 h; and at 0 and 24 h from FAST groups. Significant differences were observed in the hypergly- caemic peak between sugars at 3 h (GLU - 13.7 ± 2.0 mM vs. FRU - 8.7 ± 1.1 mM; saline 6.3 ± 0.6 mM) and on the return to normoglycaemia (GLU - 8.5 ± 2.2 mM vs. FRU - 5.2 ± 0.9 mM; saline 4.9 ± 0.6 mM) 6 h after IP on the FRU esh. The NMR-metabolomics approach allowed to conclude that tambaqui seems to be more re- sponsive to the feeding regime (FED vs. FAST) than to the injected sugar (FRU vs. GLU). From the studied tissues, plasma showed no significant variations between feeding regimes at 24 h after IP, while muscle and liver re- vealed some variations on the enal metabolome proele between FED and FAST groups. The metabolome varia- tions between feeding regimes are indicative of changes on the amino acid utilization. Fish from FAST group seem to utilize amino acids as energy source rather than for protein synthesis and muscle growth. Variations on glucose concentration in muscle can also indicate different utilization of the sugars depending on the feeding regime.</p>
Intermuscular bones in Colossoma macropomum studied through dissection and X-ray analyses
<p>Dataset on intermuscular bones in Colossoma macropomum studied through dissection and X-ray analyses in one captive population in Brazil.</p>
Data from: Predicted 2100 climate scenarios affects growth and skeletal development of tambaqui (Colossoma macropomum) larvae
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Fig. 1 in Anesthesia of tambaqui Colossoma macropomum (Characiformes: Serrasalmidae) with the essential oils of Aniba rosaeodora and Aniba parviflora and their major compound, linalool
Fig. 1. Relationships of concentration x anesthesia induction or recovery time in tambaqui, Colossoma macropomum, exposed to the essential oils. a. Aniba rosaeodora (EOAR); deep sedation: y=24.8+(8300/x), r2=0.705, deep anesthesia: y=-102.3+(36527/x), r2=0.913. Light sedation and recovery: no significant relationship. b. Aniba parviflora (EOAP); light sedation: y=2.08+(6563/x), r2=0.832, deep sedation: y=13.2+(10098/x), r2=0.703, deep anesthesia: y=-79.8+(41067/x), r2=0.906. Recovery: no significant relationship. y = time to reach stage or recovery (s) and x = concentration (µL L-1).
Fig. 15. a. Colossoma macropomum, 250.0 in Peixes da planície de inundação do alto rio Paraná e áreas adjacentes: revised, annotated and updated
Fig. 15. a. Colossoma macropomum, 250.0 mm SL, uncat. b. Metynnis lippincottianus, NUP 443, 149.3 mm SL, lagoas (ilhas), Porto Rico, State of Paraná. c. Myloplus tiete, NUP 2484, 135.0 mm SL, rio Piquiri, Formosa do Oeste, State of Paraná. d. Piaractus mesopotamicus, 498.0 mm SL, fresh specimen, uncat. e. Serrasalmus maculatus, NUP 396, 157.2 mm SL, canal do Meio (ilha Porto Rico), Porto Rico, State of Paraná. f. Serrasalmus marginatus, NUP 439, 160.2 mm SL, lagoas (ilhas), Porto Rico, State of Paraná. g. Triportheus nematurus, 102.0 mm SL, fresh specimen, uncat.
Genomic selection signatures in farmed Colossoma macropomum from tropical and subtropical regions in South America
<p>Tambaqui or cachama (<i>Colossoma macropomum</i>) is one of the most important neotropical freshwater fish used for aquaculture in South America, and its production is concentrated at low latitudes (close to the Equator, 0°), where the water temperature is warm. Therefore, understanding how selection shapes genetic variations and structure in farmed populations is of paramount importance in evolutionary biology. High-throughput sequencing to generate genome-wide data for fish species allows for elucidating the genomic basis of adaptation to local or farmed conditions and uncovering genes that control the phenotypes of interest. The present study aimed to detect genomic selection signatures and analyze the genetic variability in farmed populations of tambaqui in South America using single-nucleotide polymorphism (SNP) markers obtained with double-digest restriction site-associated DNA sequencing. Initially, 199 samples of tambaqui farmed populations from different locations (located in Brazil, Colombia, and Peru), a wild population (Amazon River, Brazil), and the base population of a breeding program (Aquaculture Center, CAUNESP, Jaboticabal, SP, Brazil) were genotyped. Observed and expected heterozygosity was 0.231–0.350 and 0.288–0.360, respectively. Significant genetic differentiation was observed using global F<sub>ST</sub> analyses of SNP loci (F<sub>ST</sub> = 0.064, p < 0.050). Farmed populations from Colombia and Peru that differentiated from the Brazilian populations formed distinct groups. Several regions, particularly those harboring the genes of significance to aquaculture, were identified to be under positive selection, suggesting local adaptation to stress under different farming conditions and management practices. Studies aimed at improving the knowledge of genomics of tambaqui farmed populations are essential for aquaculture to gain deeper insights into the evolutionary history of these fish and provide resources for the establishment of breeding programs.</p>
Fig. 4 in Functional integrity of Colossoma macropomum (Cuvier, 1816) sperm cryopreserved with enriched extender solutions
Fig. 4. Mean and standard deviation of percentage of Membrane Integrity (Memb Int), Mitochondria Functionality (Mit Fun) and DNA Integrity (DNA Int) observed in Colossoma macropomum sperm after cryopreservation. Evaluated using the Kruskal-Wallis non-parametric test.
Fig. 2 in Functional integrity of Colossoma macropomum (Cuvier, 1816) sperm cryopreserved with enriched extender solutions
Fig. 2. Mean and standard deviation of the Fertilization Rate (Fert) and Hatching Rate (Hat) of Colossoma macropomum semen frozen with two extenders (T1 - Solution 1 and T2 - Solution 2). Evaluated using the Kruskal-Wallis nonparametric test.
Fig. 1 in Functional integrity of Colossoma macropomum (Cuvier, 1816) sperm cryopreserved with enriched extender solutions
Fig. 1. (a) Mean and standard deviation of Progressive Motility (Mot) and Normal Sperm (N Sperm) and (b) Motility Time (TMot) of Colossoma macropomum, fresh and frozen, with two extenders (T1 - Solution 1 and T2 - Solution 2). Evaluated using the Kruskal-Wallis non-parametric test.
Fig. 3 in Functional integrity of Colossoma macropomum (Cuvier, 1816) sperm cryopreserved with enriched extender solutions
Fig. 3. The average percentage of damage found in frozen semen of Colossoma macropomum in different treatments. (a) Primary damage: Macrocephaly (Macro); Microcephaly (Micro); Head Degeneration (HD); Degenerated Midpiece (DMP); Curly Tail (CT); Broken Tail (BT); Folded Tail (FT). (b) Secondary damage: Degenerated Tail (DeT); Free Normal Head (FNH); Distal Droplet (DD); Proximal Droplet (PD).
Genomic selection signatures in farmed Colossoma macropomum from tropical and subtropical regions in South America
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Transcriptome of tambaqui Colossoma macropomum during gonad differentiation: different molecular signals leading to sex identity
GEO Series GSE130895. Colossoma macropomum. 10 samples. Type: Expression profiling by high throughput sequencing.
Fig. 2. A in Morphological and morphometric analysis of skeletal muscle between male and female young adult Colossoma macropomum (Characiformes: Serrasalmidae)
Fig. 2. A. Young muscle fibers running up. Cytoskeleton and nuclei (arrow). Longitudinal section. HE. (Bar = 50 μm). B. Detail cytoskeleton during fusion of the muscle fiber. Longitudinal section. HE. (Bar = 25 μm). C. Fusion side of young fibers (square). Transverse section. Masson trichrome. (Bar = 25 μm).
Integrative microRNAome analysis of muscle tissue of Colossoma macropomum (tambaqui), Piaractus mesopotamicus (pacu) and the hybrid, tambacu, based on next-generation sequencing data.
GEO Series GSE147532. Piaractus mesopotamicus; Colossoma macropomum; Piaractus mesopotamicus x Colossoma macropomum. 15 samples. Type: Non-coding RNA profiling by high throughput sequencing.
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