Interrogating Genomic-Scale Data for Squamata (Lizards, Snakes, and Amphisbaenians) Shows no Support for Key Traditional Morphological Relationships. (24th September 2019)
- Record Type:
- Journal Article
- Title:
- Interrogating Genomic-Scale Data for Squamata (Lizards, Snakes, and Amphisbaenians) Shows no Support for Key Traditional Morphological Relationships. (24th September 2019)
- Main Title:
- Interrogating Genomic-Scale Data for Squamata (Lizards, Snakes, and Amphisbaenians) Shows no Support for Key Traditional Morphological Relationships
- Authors:
- Burbrink, Frank T
Grazziotin, Felipe G
Pyron, R Alexander
Cundall, David
Donnellan, Steve
Irish, Frances
Keogh, J Scott
Kraus, Fred
Murphy, Robert W
Noonan, Brice
Raxworthy, Christopher J
Ruane, Sara
Lemmon, Alan R
Lemmon, Emily Moriarty
Zaher, Hussam - Editors:
- Thomson, Robert
- Abstract:
- Abstract: Genomics is narrowing uncertainty in the phylogenetic structure for many amniote groups. For one of the most diverse and species-rich groups, the squamate reptiles (lizards, snakes, and amphisbaenians), an inverse correlation between the number of taxa and loci sampled still persists across all publications using DNA sequence data and reaching a consensus on the relationships among them has been highly problematic. In this study, we use high-throughput sequence data from 289 samples covering 75 families of squamates to address phylogenetic affinities, estimate divergence times, and characterize residual topological uncertainty in the presence of genome-scale data. Importantly, we address genomic support for the traditional taxonomic groupings Scleroglossa and Macrostomata using novel machine-learning techniques. We interrogate genes using various metrics inherent to these loci, including parsimony-informative sites (PIS), phylogenetic informativeness, length, gaps, number of substitutions, and site concordance to understand why certain loci fail to find previously well-supported molecular clades and how they fail to support species-tree estimates. We show that both incomplete lineage sorting and poor gene-tree estimation (due to a few undesirable gene properties, such as an insufficient number of PIS), may account for most gene and species-tree discordance. We find overwhelming signal for Toxicofera, and also show that none of the loci included in this studyAbstract: Genomics is narrowing uncertainty in the phylogenetic structure for many amniote groups. For one of the most diverse and species-rich groups, the squamate reptiles (lizards, snakes, and amphisbaenians), an inverse correlation between the number of taxa and loci sampled still persists across all publications using DNA sequence data and reaching a consensus on the relationships among them has been highly problematic. In this study, we use high-throughput sequence data from 289 samples covering 75 families of squamates to address phylogenetic affinities, estimate divergence times, and characterize residual topological uncertainty in the presence of genome-scale data. Importantly, we address genomic support for the traditional taxonomic groupings Scleroglossa and Macrostomata using novel machine-learning techniques. We interrogate genes using various metrics inherent to these loci, including parsimony-informative sites (PIS), phylogenetic informativeness, length, gaps, number of substitutions, and site concordance to understand why certain loci fail to find previously well-supported molecular clades and how they fail to support species-tree estimates. We show that both incomplete lineage sorting and poor gene-tree estimation (due to a few undesirable gene properties, such as an insufficient number of PIS), may account for most gene and species-tree discordance. We find overwhelming signal for Toxicofera, and also show that none of the loci included in this study supports Scleroglossa or Macrostomata. We comment on the origins and diversification of Squamata throughout the Mesozoic and underscore remaining uncertainties that persist in both deeper parts of the tree (e.g., relationships between Dibamia, Gekkota, and remaining squamates; among the three toxicoferan clades Iguania, Serpentes, and Anguiformes) and within specific clades (e.g., affinities among gekkotan, pleurodont iguanians, and colubroid families). … (more)
- Is Part Of:
- Systematic biology. Volume 69:Number 3(2020)
- Journal:
- Systematic biology
- Issue:
- Volume 69:Number 3(2020)
- Issue Display:
- Volume 69, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 69
- Issue:
- 3
- Issue Sort Value:
- 2020-0069-0003-0000
- Page Start:
- 502
- Page End:
- 520
- Publication Date:
- 2019-09-24
- Subjects:
- Neural network -- gene interrogation -- lizards -- snakes -- genomics -- phylogeny
Biology -- Classification -- Periodicals
Biology -- Periodicals
Biologie -- Classification -- Périodiques
Biologie -- Périodiques
578.012 - Journal URLs:
- http://ukcatalogue.oup.com/ ↗
- DOI:
- 10.1093/sysbio/syz062 ↗
- Languages:
- English
- ISSNs:
- 1063-5157
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8589.180700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15133.xml