Literature DB >> 31372642

An Integrative Approach Using Phylogenomics and High-Resolution X-Ray Computed Tomography for Species Delimitation in Cryptic Taxa.

Kirilee Chaplin1,2, Joanna Sumner1, Christy A Hipsley1,2, Jane Melville1.   

Abstract

Morphologically cryptic taxa have proved to be a long-standing challenge for taxonomists. Lineages that show strong genomic structuring across the landscape but are phenotypically similar pose a conundrum, with traditional morphological analyses of these cryptic lineages struggling to keep up with species delimitation advances. Micro X-ray computed tomography (CT) combined with geometric morphometric analyses provides a promising avenue for identification of morphologically cryptic taxa, given its ability to detect subtle differences in anatomical structures. However, this approach has yet to be used in combination with genomic data in a comparative analytical framework to distinguish cryptic taxa. We present an integrative approach incorporating genomic and geometric morphometric evidence to assess the species delimitation of grassland earless dragons (Tympanocryptis spp.) in north-eastern Australia. Using mitochondrial and nuclear genes (ND2 and RAG1, respectively), along with $>$8500 SNPs (nuclear single nucleotide polymorphisms), we assess the evolutionary independence of target lineages and several closely related species. We then integrate phylogenomic data with osteological cranial variation between lineages using landmark-based analyses of three-dimensional CT models. High levels of genomic differentiation between the three target lineages were uncovered, also supported by significant osteological differences. By incorporating multiple lines of evidence, we provide strong support for three undescribed cryptic lineages of Tympanocryptis in north-eastern Australia that warrant taxonomic review. Our approach demonstrates the successful application of CT with integrative taxonomic approaches for cryptic species delimitation, which is broadly applicable across vertebrates containing morphologically similar yet genetically distinct lineages. Additionally, we provide a review of recent integrative taxonomic approaches for cryptic species delimitation and an assessment of how our approach can value-add to taxonomic research.
© The Author(s) 2019. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  zzm321990 Tympanocryptiszzm321990 ; Geometric morphometrics; SNPs; grassland earless dragons; integrative taxonomy; micro X-ray computed tomography; phylogenomics; species delimitation

Year:  2020        PMID: 31372642     DOI: 10.1093/sysbio/syz048

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  4 in total

1.  Genome-wide species delimitation analyses of a silverside fish species complex in central Mexico indicate taxonomic over-splitting.

Authors:  Victor Julio Piñeros; Carmen Del R Pedraza-Marrón; Isaí Betancourt-Resendes; Nancy Calderón-Cortés; Ricardo Betancur-R; Omar Domínguez-Domínguez
Journal:  BMC Ecol Evol       Date:  2022-09-14

2.  Integrating phylogeography and high-resolution X-ray CT reveals five new cryptic species and multiple hybrid zones among Australian earless dragons.

Authors:  Jane Melville; Kirilee Chaplin; Christy A Hipsley; Stephen D Sarre; Joanna Sumner; Mark Hutchinson
Journal:  R Soc Open Sci       Date:  2019-12-18       Impact factor: 2.963

3.  'Barcode fishing' for archival DNA from historical type material overcomes taxonomic hurdles, enabling the description of a new frog species.

Authors:  Mark D Scherz; Safidy M Rasolonjatovo; Jörn Köhler; Loïs Rancilhac; Andolalao Rakotoarison; Achille P Raselimanana; Annemarie Ohler; Michaela Preick; Michael Hofreiter; Frank Glaw; Miguel Vences
Journal:  Sci Rep       Date:  2020-11-05       Impact factor: 4.379

4.  High-throughput microCT scanning of small specimens: preparation, packing, parameters and post-processing.

Authors:  Christy A Hipsley; Rocio Aguilar; Jay R Black; Scott A Hocknull
Journal:  Sci Rep       Date:  2020-08-17       Impact factor: 4.379

  4 in total

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