From the same journal

From the same journal

Mitochondrial differentiation, introgression and phylogeny of species in the Tegenaria atrica group (Araneae, Agelenidae)

Research output: Contribution to journalArticle

Full text download(s)


Published copy (DOI)


  • P.J.P. Croucher
  • G.S. Oxford
  • J.B. Searle


Publication details

JournalBiological Journal of the Linnean Society
DatePublished - Jan 2004
Issue number1
Number of pages10
Pages (from-to)79-89
Original languageEnglish


The relationships between the three members of the Tegenaria atrica group (T. atrica, T. saeva and T. gigantea) were examined with DNA sequence data from mitochondrial CO1, 16S rRNA, tRNAleu(CUN) and ND1 genes. Members of this group of large house spiders have overlapping distributions in western Europe and hybridize with each other to a variable degree. The close relatedness of all three species was supported by all analyses. T. saeva and T. gigantea are more closely affiliated than either is to T. atrica. Haplotypes clearly assignable to T. gigantea were also present in many specimens of T. saeva suggesting asymmetrical introgression of mtDNA from T. gigantea into T. saeva. Molecular clock calibrations (CO1) suggest that deeper divisions within the genus Tegenaria may be in excess of 10 million years old, and that the evolutionary history of the T. atrica group has been moulded by Quaternary glacial-interglacial cycles.

Bibliographical note

© 2004 The Linnean Society of London. This is an electronic version of an article published in Biological Journal of the Linnean Society: complete citation information for the final version of the paper, as published in the print edition of Biological Journal of the Linnean Society, is available on the Blackwell Synergy online delivery service, accessible via the journal's website at or

    Research areas

  • large house spiders – introgression – hybridization – molecular clock – speciation – cytochrome oxidase 1 – nicotine adenine dinucleotide dehydrogenase 1 – 16S rRNA – tRNAlue(CUN)

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations