Nataliya Timoshevskaya1, S Randal Voss2,3,4, Caitlin N Labianca5,6, Cassity R High2,3, Jeramiah J Smith1. 1. Department of Biology, University of Kentucky, Lexington, Kentucky, USA. 2. Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, Kentucky, USA. 3. Department of Neuroscience, University of Kentucky, Lexington, Kentucky, USA. 4. Ambystoma Genetic Stock Center, University of Kentucky, Lexington, Kentucky, USA. 5. Paul Laurence Dunbar High School, Lexington, Kentucky, USA. 6. Current Affiliation: Department of Biology, University of Rochester, Rochester, New York, USA.
Abstract
BACKGROUND: Recent efforts to assemble and analyze the Ambystoma mexicanum genome have dramatically improved the potential to develop molecular tools and pursue genome-wide analyses of genetic variation. RESULTS: To better resolve the distribution and origins of genetic variation with A mexicanum, we compared DNA sequence data for two laboratory A mexicanum and one A tigrinum to identify 702 million high confidence polymorphisms distributed across the 32 Gb genome. While the wild-caught A tigrinum was generally more polymorphic in a genome-wide sense, several multi-megabase regions were identified from A mexicanum genomes that were actually more polymorphic than A tigrinum. Analysis of polymorphism and repeat content reveals that these regions likely originated from the intentional hybridization of A mexicanum and A tigrinum that was used to introduce the albino mutation into laboratory stocks. CONCLUSIONS: Our findings show that axolotl genomes are variable with respect to introgressed DNA from a highly polymorphic species. It seems likely that other divergent regions will be discovered with additional sequencing of A mexicanum. This has practical implications for designing molecular probes and suggests a need to study A mexicanum phenotypic variation and genome evolution across the tiger salamander clade.
BACKGROUND: Recent efforts to assemble and analyze the Ambystoma mexicanum genome have dramatically improved the potential to develop molecular tools and pursue genome-wide analyses of genetic variation. RESULTS: To better resolve the distribution and origins of genetic variation with A mexicanum, we compared DNA sequence data for two laboratory A mexicanum and one A tigrinum to identify 702 million high confidence polymorphisms distributed across the 32 Gb genome. While the wild-caught A tigrinum was generally more polymorphic in a genome-wide sense, several multi-megabase regions were identified from A mexicanum genomes that were actually more polymorphic than A tigrinum. Analysis of polymorphism and repeat content reveals that these regions likely originated from the intentional hybridization of A mexicanum and A tigrinum that was used to introduce the albino mutation into laboratory stocks. CONCLUSIONS: Our findings show that axolotl genomes are variable with respect to introgressed DNA from a highly polymorphic species. It seems likely that other divergent regions will be discovered with additional sequencing of A mexicanum. This has practical implications for designing molecular probes and suggests a need to study A mexicanum phenotypic variation and genome evolution across the tiger salamander clade.
Authors: Juan Caballero-Pérez; Annie Espinal-Centeno; Francisco Falcon; Luis F García-Ortega; Everardo Curiel-Quesada; Andrés Cruz-Hernández; Laszlo Bako; Xuemei Chen; Octavio Martínez; Mario Alberto Arteaga-Vázquez; Luis Herrera-Estrella; Alfredo Cruz-Ramírez Journal: Dev Biol Date: 2017-12-25 Impact factor: 3.582
Authors: Sergej Nowoshilow; Siegfried Schloissnig; Ji-Feng Fei; Andreas Dahl; Andy W C Pang; Martin Pippel; Sylke Winkler; Alex R Hastie; George Young; Juliana G Roscito; Francisco Falcon; Dunja Knapp; Sean Powell; Alfredo Cruz; Han Cao; Bianca Habermann; Michael Hiller; Elly M Tanaka; Eugene W Myers Journal: Nature Date: 2018-01-24 Impact factor: 49.962
Authors: Melissa C Keinath; Nataliya Timoshevskaya; Vladimir A Timoshevskiy; S Randal Voss; Jeramiah J Smith Journal: Sci Rep Date: 2018-12-14 Impact factor: 4.379
Authors: Melissa C Keinath; Vladimir A Timoshevskiy; Nataliya Y Timoshevskaya; Panagiotis A Tsonis; S Randal Voss; Jeramiah J Smith Journal: Sci Rep Date: 2015-11-10 Impact factor: 4.379