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      Transcriptomic evidences of local thermal adaptation for the native fish Colossoma macropomum (Cuvier, 1818)

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          Abstract

          Brazil has five climatically distinct regions, with an annual average temperature difference up to 14 ºC between the northern and southern extremes. Environmental variation of this magnitude can lead to new genetic patterns among farmed fish populations. Genetically differentiated populations of tambaqui ( Colossoma macropomum Cuvier, 1818), an important freshwater fish for Brazilian continental aquaculture, may be associated with regional adaptation. In this study, we selected tambaquis raised in two thermally distinct regions, belonging to different latitudes, to test this hypothesis. De novo transcriptome analysis was performed to compare the significant differences of genes expressed in the liver of juvenile tambaqui from a northern population (Balbina) and a southeastern population (Brumado). In total, 2,410 genes were differentially expressed (1,196 in Balbina and 1,214 in Brumado). Many of the genes are involved in a multitude of biological functions such as biosynthetic processes, homeostasis, biorhythm, immunity, cell signaling, ribosome biogenesis, modification of proteins, intracellular transport, structure/cytoskeleton, and catalytic activity. Enrichment analysis based on biological networks showed a different protein interaction profile for each population, whose encoding genes may play potential functions in local thermal adaptation of fish to their respective farming environments.

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          Climate change effects on fishes and fisheries: towards a cause-and-effect understanding.

          Ongoing climate change is predicted to affect individual organisms during all life stages, thereby affecting populations of a species, communities and the functioning of ecosystems. These effects of climate change can be direct, through changing water temperatures and associated phenologies, the lengths and frequency of hypoxia events, through ongoing ocean acidification trends or through shifts in hydrodynamics and in sea level. In some cases, climate interactions with a species will also, or mostly, be indirect and mediated through direct effects on key prey species which change the composition and dynamic coupling of food webs. Thus, the implications of climate change for marine fish populations can be seen to result from phenomena at four interlinked levels of biological organization: (1) organismal-level physiological changes will occur in response to changing environmental variables such as temperature, dissolved oxygen and ocean carbon dioxide levels. An integrated view of relevant effects, adaptation processes and tolerance limits is provided by the concept of oxygen and capacity-limited thermal tolerance (OCLT). (2) Individual-level behavioural changes may occur such as the avoidance of unfavourable conditions and, if possible, movement into suitable areas. (3) Population-level changes may be observed via changes in the balance between rates of mortality, growth and reproduction. This includes changes in the retention or dispersion of early life stages by ocean currents, which lead to the establishment of new populations in new areas or abandonment of traditional habitats. (4) Ecosystem-level changes in productivity and food web interactions will result from differing physiological responses by organisms at different levels of the food web. The shifts in biogeography and warming-induced biodiversity will affect species productivity and may, thus, explain changes in fisheries economies. This paper tries to establish links between various levels of biological organization by means of addressing the effective physiological principles at the cellular, tissue and whole organism levels. © 2010 The Authors. Journal of Fish Biology © 2010 The Fisheries Society of the British Isles.
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            NetworkAnalyst - integrative approaches for protein–protein interaction network analysis and visual exploration

            Biological network analysis is a powerful approach to gain systems-level understanding of patterns of gene expression in different cell types, disease states and other biological/experimental conditions. Three consecutive steps are required - identification of genes or proteins of interest, network construction and network analysis and visualization. To date, researchers have to learn to use a combination of several tools to accomplish this task. In addition, interactive visualization of large networks has been primarily restricted to locally installed programs. To address these challenges, we have developed NetworkAnalyst, taking advantage of state-of-the-art web technologies, to enable high performance network analysis with rich user experience. NetworkAnalyst integrates all three steps and presents the results via a powerful online network visualization framework. Users can upload gene or protein lists, single or multiple gene expression datasets to perform comprehensive gene annotation and differential expression analysis. Significant genes are mapped to our manually curated protein-protein interaction database to construct relevant networks. The results are presented through standard web browsers for network analysis and interactive exploration. NetworkAnalyst supports common functions for network topology and module analyses. Users can easily search, zoom and highlight nodes or modules, as well as perform functional enrichment analysis on these selections. The networks can be customized with different layouts, colors or node sizes, and exported as PNG, PDF or GraphML files. Comprehensive FAQs, tutorials and context-based tips and instructions are provided. NetworkAnalyst currently supports protein-protein interaction network analysis for human and mouse and is freely available at http://www.networkanalyst.ca.
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              Regulation of stearoyl-CoA desaturases and role in metabolism.

              J. Ntambi (2004)
              Stearoyl-CoA desaturase (SCD) is the rate-limiting enzyme catalyzing the synthesis of monounsaturated fatty acids, mainly oleate (18:1) and palmitoleate (16:1). These represent the major monounsaturated fatty acids of membrane phospholipids, triglycerides, wax esters and cholesterol esters. The ratio of saturated to monounsaturated fatty acids affects phospholipid composition and alteration in this ratio has been implicated in a variety of disease states including cardiovascular disease, obesity, diabetes, neurological disease, and cancer. For this reason, the expression of SCD is of physiological significance in both normal and disease states. Several SCD gene isoforms (SCD1, SCD2, SCD3) exist in the mouse and one SCD isoform that is highly homologous to the mouse SCD1 is well characterized in human. The physiological role of each SCD isoform and the reason for having three or more SCD gene isoforms in the rodent genome are currently unknown but could be related the substrate specificities of the isomers and their regulation through tissue-specific expression. The recent studies of asebia mouse strains that have a natural mutation in the SCD1 gene and a mouse model with a targeted disruption of the SCD1 gene have provided clues concerning the role that SCD1 and its endogenous products play in the regulation of metabolism.
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                Author and article information

                Journal
                Genet Mol Biol
                Genet. Mol. Biol
                gmb
                Genetics and Molecular Biology
                Sociedade Brasileira de Genética
                1415-4757
                1678-4685
                11 September 2020
                2020
                : 43
                : 3
                : e20190377
                Affiliations
                [1 ]Instituto Nacional de Pesquisas da Amazônia, Laboratório de Ecofisiologia e Evolução Molecular, Manaus, AM, Brazil.
                [2 ]Universidade de São Paulo, Laboratório de Biologia de Sistema Computacional, São Paulo, SP, Brazil.
                Author notes
                Send correspondence to Luciana Mara Fé-Gonçalves. Instituto Nacional de Pesquisas da Amazônia, Laboratório de Ecofisiologia e Evolução Molecular, Avenida André Araújo 2936, 69067-375, Petrópolis, Manaus, AM, Brazil. E-mail: lucianamfeg@ 123456gmail.com .

                Conflict of Interest: The authors declare that there is no conflict of interest that could be perceived as prejudicial to the impartiality of the reported research.

                Authors Contributions: LMFG and VMFAV conceived and designed the experiments; LMFG conducted the experiments, collected the samples and performed the molecular protocols; LMFG and JDAA analyzed the data; LMFG, JDAA, CHAS and VMFAV wrote the paper. All authors read, revised and approved the final version.

                Author information
                http://orcid.org/0000-0002-9240-9975
                http://orcid.org/0000-0001-6239-3493
                http://orcid.org/0000-0002-5263-1539
                http://orcid.org/0000-0001-7038-5266
                Article
                00208
                10.1590/1678-4685-GMB-2019-0377
                7485747
                32915948
                31821b5b-ccbc-4acf-83d1-0dfcf9abc958
                Copyright © 2020, Sociedade Brasileira de Genética.

                License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License (type CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original article is properly cited.

                History
                : 14 November 2019
                : 13 July 2020
                Page count
                Figures: 6, Tables: 3, Equations: 0, References: 55
                Categories
                Animal Genetics

                Molecular biology
                transcriptome,tambaqui,population,temperature,thermal adaptation
                Molecular biology
                transcriptome, tambaqui, population, temperature, thermal adaptation

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