Molecular approach to the phylogenetics of sea spiders (Arthropoda: Pycnogonida) using partial sequences of nuclear ribosomal DNA*1
Arango, Claudia P. (2003) Molecular approach to the phylogenetics of sea spiders (Arthropoda: Pycnogonida) using partial sequences of nuclear ribosomal DNA*1. Molecular Phylogenetics and Evolution, 28 (3). pp. 588-600.
PDF (Published Version)
Restricted to Repository staff only
The phylogenetic relationships among major evolutionary lineages of the sea spiders (subphylum Pycnogonida) were investigated using partial sequences of nuclear DNA, 18S, and 28S ribosomal genes. Topological differences were obtained with separate analyses of 18S and 28S, and estimates of phylogeny were found to be significantly different between a combined molecular data set (18S and 28S) and a subset of a morphological data matrix analyzed elsewhere. Colossendeidae played a major role in the conflicts; it was closely related to Callipallenidae or Nymphonidae with 18S or 28S, respectively, but related to Ammotheidae according to morphological characters. Austrodecidae was defined as a basal taxon for Pycnogonida by these molecular data. The 18S sequences were surprisingly conserved among pycnogonid taxa, suggesting either an unusual case of slow evolution of the gene, or an unexpected recent divergence of pycnogonid lineages. Notwithstanding difficulties such as non-optimal taxon sampling, this is the first attempt to reconstruct the pycnogonid phylogeny based on DNA. Continued studies of sequences and other characters should increase the reliability of the analyses and our understanding of the phylogenetics of sea spiders.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||molecular approach; phylogenetics; sea spiders|
No current JCU email address available.
|Date Deposited:||29 Nov 2010 02:35|
|FoR Codes:||06 BIOLOGICAL SCIENCES > 0603 Evolutionary Biology > 060399 Evolutionary Biology not elsewhere classified @ 100%|
|SEO Codes:||97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 100%|
|Citation Count from Web of Science||