Literature DB >> 23503815

Mosaic evolution of silk genes in Aliatypus trapdoor spiders (mygalomorphae, antrodiaetidae).

James Starrett1, Cheryl Y Hayashi.   

Abstract

Spider silk genes are composed mostly of repetitive sequence that is flanked by non-repetitive terminal regions. Inferences about the evolutionary processes that influenced silk genes have largely been made from analyses using distantly related taxa and ancient silk gene duplicates. These studies have relied on comparisons across the conserved non-repetitive terminal regions to determine orthologous and paralogous relationships, as well as the influence of selection on silk genes. While the repetitive region heavily influences silk fiber mechanical properties, few molecular evolutionary analyses have been conducted on this region due to difficulty in determining homology. Here, we sample internal repetitive and carboxy terminal regions from all extant species of the trapdoor spider genus, Aliatypus. Aliatypus spiders are highly dispersal limited and rely on their silk lined burrow for protection. We determine positional homology across species for the carboxy terminal regions and relative positional homology for the internal repetitive regions. Gene trees based on each of these regions are in good agreement with the Aliatypus species tree, which indicates we sampled single spidroin orthologs in each species. In addition, we find that purifying selection and concerted evolution have acted to conserve Aliatypus spidroin internal repetitive regions. In contrast, selection testing identifies evidence of sites that evolved under positive selection and amino acid replacements that result in radical physicochemical changes in the carboxy terminal region. These findings indicate that comparison of spidroin orthologs across a comprehensive sample of congenerics reveal molecular evolutionary patterns obscured from studies using higher-level sampling of silk encoding genes.

Mesh:

Substances:

Year:  2013        PMID: 23503815     DOI: 10.1007/s00239-013-9550-7

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  37 in total

1.  Molecular architecture and evolution of a modular spider silk protein gene.

Authors:  C Y Hayashi; R V Lewis
Journal:  Science       Date:  2000-02-25       Impact factor: 47.728

2.  Hypotheses that correlate the sequence, structure, and mechanical properties of spider silk proteins.

Authors:  C Y Hayashi; N H Shipley; R V Lewis
Journal:  Int J Biol Macromol       Date:  1999 Mar-Apr       Impact factor: 6.953

3.  MrBayes 3: Bayesian phylogenetic inference under mixed models.

Authors:  Fredrik Ronquist; John P Huelsenbeck
Journal:  Bioinformatics       Date:  2003-08-12       Impact factor: 6.937

4.  Isolation of a clone encoding a second dragline silk fibroin. Nephila clavipes dragline silk is a two-protein fiber.

Authors:  M B Hinman; R V Lewis
Journal:  J Biol Chem       Date:  1992-09-25       Impact factor: 5.157

5.  An essential role for the C-terminal domain of a dragline spider silk protein in directing fiber formation.

Authors:  Shmulik Ittah; Shulamit Cohen; Shai Garty; Daniel Cohn; Uri Gat
Journal:  Biomacromolecules       Date:  2006-06       Impact factor: 6.988

6.  RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models.

Authors:  Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2006-08-23       Impact factor: 6.937

7.  Evolution of spider silks: conservation and diversification of the C-terminus.

Authors:  R J Challis; S L Goodacre; G M Hewitt
Journal:  Insect Mol Biol       Date:  2006-02       Impact factor: 3.585

Review 8.  Ribosomal DNA: molecular evolution and phylogenetic inference.

Authors:  D M Hillis; M T Dixon
Journal:  Q Rev Biol       Date:  1991-12       Impact factor: 4.875

9.  Modular evolution of egg case silk genes across orb-weaving spider superfamilies.

Authors:  Jessica E Garb; Cheryl Y Hayashi
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-01       Impact factor: 11.205

10.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

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