Identification of Two Channel Catfish Stocks, Ictalurus punctatus, Cultivated in Northeast Mexico

The channel catfish farming in Mexico began in the 1970s. One of the most important areas of production is its northeastern region. Traditionally, the channel catfish farmers have attempted to preserve their original genetic stock. After more than 30yr of production, the genetic relationship between stocks has not been assessed. The goal of this study was to evaluate the genetic differentiation between five channel catfish farm populations, using 13 microsatellite markers. A total of 154 fin clip samples were collected from five channel catfish farms in Tamaulipas. We also included 31 individuals of the commercial strain NWAC103. In each population, we calculated parameter of genetic variability: inbreeding coefficient (F_IS), pairwise differentiation (F_ST), and genetic distance (D_C). For the inference of populations and individual assignment two Bayesian methods were used. Genetic variability parameters were N_A=9.54-11.08 and A_E=5.40-6.67. Hardy-Weinberg equilibrium deviations were observed for all farm populations examined, and a deficit of heterozygotes was found. Signals of inbreeding were observed, particularly for the ACU (Acuamex) hatchery. Populations EKA (Empresas Karol) and ACU showed higher genetic differentiation values with respect to the commercial strain (F_ST=0.107; F_ST=0.082, respectively). Moderated genetic differences (F_ST=0.067; D_C=0.080) were observed between the EKA and ACU. Clustering analysis revealed a well-defined group between EKA and TPA (El Tiron Parejo). In the Bayesian analysis three groups were defined. The first group was formed by EKA and TPA, the second group included ACU, LAJ (La Lajilla), and PRO (Prodatec). In the third group was the commercial strain. In the assignment of individuals, EKA and ACU were represented by exclusive genotypes. Identification of two genetic stocks, one located in the EKA and the other in the ACU population, will be relevant for future management of these hatcheries. Additionally, the information from microsatellites and the statistical procedures presented will be important tools for genetic monitoring of these farm populations.