Patterns of variation among distinct alleles of the Flag silk gene from Nephila clavipes


Por: Higgins L.E., White S., Nuñez-Farfán J., Vargas J.

Publicada: 1 ene 2007
Resumen:
Spider silk proteins and their genes are very attractive to researchers in a wide range of disciplines because they permit linking many levels of organization. However, hypotheses of silk gene evolution have been built primarily upon single sequences of each gene each species, and little is known about allelic variation within a species. Silk genes are known for their repeat structure with high levels of homogenization of nucleotide and amino acid sequence among repeated units. One common explanation for this homogeneity is gene convergence. To test this model, we sequenced multiple alleles of one intron-exon segment from the Flag gene from four populations of the spider Nephila clavipes and compared the new sequences to a published sequence. Our analysis revealed very high levels of heterozygosity in this gene, with no pattern of population differentiation. There was no evidence of gene convergence within any of these alleles, with high levels of nucleotide and amino acid substitution among the repeating motifs. Our data suggest that minimally, there is relaxed selection on mutations in this gene and that there may actually be positive selection for heterozygosity. © 2006 Elsevier B.V. All rights reserved.

Filiaciones:
Higgins L.E.:
 Department of Biology, University of Vermont, 109 Carrigan Drive, Burlington, VT 05405, United States

White S.:
 Department of Anatomy and Neurobiology, University of Vermont, Burlington, VT 05405, United States

Nuñez-Farfán J.:
 Instituto de Ecología, Universidad Nactional Autonoma de México, México, D.F., Mexico

Vargas J.:
 Instituto de Ecología, Universidad Nactional Autonoma de México, México, D.F., Mexico
ISSN: 01418130
Editorial
Elsevier, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, Países Bajos
Tipo de documento: Article
Volumen: 40 Número: 3
Páginas: 201-216
WOS Id: 000244845800004
ID de PubMed: 16982088