Quantitative and Genomic Analysis of Traits Related to Low Temperature Tolerance in a Synthetic Population of Tambaqui (Colossoma macropomum)

• Grant number: 22/08831-8
• Support Opportunities: Regular Research Grants
• Start date: May 01, 2024
• End date: April 30, 2026
• Field of knowledge: Agronomical Sciences - Fishery Resources and Fishery Engineering - Aquaculture
• Principal Investigator: Rafael Vilhena Reis Neto
• Grantee: Rafael Vilhena Reis Neto
• Host Institution: Faculdade de Ciências Agrárias. Universidade Estadual Paulista (UNESP). Campus do Vale do Ribeira. Registro , SP, Brazil
• Associated researchers: Alexandre Wagner Silva Hilsdorf ; Antônio Fernando Gervásio Leonardo ; Camila Fernandes Corrêa ; Diogo Teruo Hashimoto ; Eduardo Antônio Sanches ; Jose Manuel Yanez ; Luciana Shiotsuki ; Vander Bruno dos Santos

Abstract

Using quantitative and molecular approaches, we propose to verify the possibility of obtaining genetic gain by selection for traits related to tolerance to low temperatures in a tambaqui population composed of 40 full-sib families. About 30 animals from each family, identified with microchips, will be tested, for 90 days, in 2 batteries of 10 polyethylene tanks with capacity of 500L. One of the batteries will operate in a temperature-controlled (28°C) recirculation system and the second will have a continuous flow of water. During the test period, the tanks will be monitored to record the dead animals, and after 90 days the surviving animals will be weighed and measured. Genotyping of the parents and 20% of the progeny will be performed using a panel of high-density SNPs (30k), while the rest of the animals will be performed using a low-density panel (0.5 - 3k). The parental genotypes will be used as a reference for the imputation of genotypes of the progenies genotyped at low density. Considering only the phenotypic and relationship information of the individuals provided by the pedigree (PBLUP), the genetic values of the animals will be estimated and the existence of the Genotype x Environment interaction will be verified, by genetic parameters estamted, for the traits evaluated in the batteries with and without temperature control. Genomic-wide association analyzes will be performed for measured traits, in each environment separately using the ssGBLUP and wssGBLUP approaches implemented in the BLUPF90 statistical software. The predictions of the genetic values of the animals based on pedigree (PBLUP) versus genomic prediction (GBLUP) will also be compared. (AU)