Please use this identifier to cite or link to this item: https://repositorio.inpa.gov.br/handle/1/36974
Title: Transcriptomic evidences of local thermal adaptation for the native fish colossoma macropomum (Cuvier, 1818)
Authors: F'é-gonçalves, Luciana Mara
Araújo, José Deney Alves
Santos, Carlos Henrique dos Anjos dos
Val, Vera Maria Fonseca Almeida e
Keywords: Population
Tambaqui
Temperature
Thermal adaptation
Transcriptome
Issue Date: 2020
metadata.dc.publisher.journal: Genetics and Molecular Biology
metadata.dc.relation.ispartof: Volume 43, Número 3, Pags. 1-15
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 hypoth-esis. 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 multi-tude 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 encod-ing genes may play potential functions in local thermal adaptation of fish to their respective farming environments. © 2020, Sociedade Brasileira de Genética.
metadata.dc.identifier.doi: 10.1590/1678-4685-GMB-2019-0377
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