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Detalle de: Unexpected High Polymorphism at the FABP4 Gene Unveils a Complex History for Pig Populations

Title Unexpected High Polymorphism at the FABP4 Gene Unveils a Complex History for Pig Populations
Abstract

Fatty acid bing protein 4 (FABP4) plays a key role in fat regulation in mammals and is a strong positional candidate gene for the FAT1 quantitative trait locus located on porcine chromosome 4. DNA resequencing of the FABP4 gene region in 23 pigs from 10 breeds and wild boar revealed 134 variants in 6.4 kb, representing a silent nucleotide diversity of πS = 0.01, much higher than reported so far in animal domestic species. Moreover, this diversity was highly structured. Also strikingly, the FABP4 phylogenetic tree did not show any geographical or breed origin clustering, with distant breeds sharing similar haplotypes and some of the most heterozygous samples pertaining to highly inbred animals like Iberian Guadyerbas (inbreeding coefficient ∼0.3) or British Tamworth. In contrast, the cytochrome b (mtDNA) phylogenetic tree was coherent with geographical origin. The estimated age of the most recent common ancestor for the most divergent Iberian or Tamworth haplotypes was much older than domestication. An additional panel of 100 pigs from 8 different breeds and wild boar from Spain, Tunisia, Sardinia, and Japan was genotyped for seven selected single nucleotide polymorphisms and shows that high variability at the porcine FABP4 is the rule rather than the exception. Pig populations, even highly inbred, can maintain high levels of variability for surprisingly long periods of time.

Apa Reference Ojeda, A., Rozas, J., Folch, J.M. & Pérez-Enciso, M. (2006). Unexpected High Polymorphism at the FABP4 Gene Unveils a Complex History for Pig Populations. Genetics, 174(4), 2119-2127. 10.1534/genetics.106.063057
Doi 10.1534/genetics.106.063057
Publication Date 1 Dec 2006
Publication Type Article
Researcher Miguel Pérez Enciso
Ontology Genome Sequencing, Population genomics, Phylogenetic Analysis, Quantitative genetics, Clustering
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