Professor David Skibinski

Professor Emeritus (Medicine)

Medicine

+44 (0) 1792 295390

d.o.f.skibinski@swansea.ac.uk

Research Links

https://orcid.org/0000-0003-4077-6236

ResearchGate

Google Scholar

Scopus

About

Professor David Skibinski is a Professor Emeritus. He has published on a wide range of topics in genetics and evolutionary biology and is currently working on problems related to proteomics and genomics, plankton evolution and climate change, molecular population genetics of marine invertebrates, and astrobiology. He is also interested in the application of statistical techniques and computer modelling in genetics and evolution. His research aims to increase understanding of how animal populations including humans adapt to environmental change and cope with the threat of extinction.

Areas Of Expertise

Genetics and Evolution
Molecular Population Genetics
Biological Statistics and Modelling
Genomics and Bioinformatics

Career Highlights

Research

Causes of genetic diversity in natural populations

Proteomics and transcriptomics with emphasis on data analysis methods

Causes and consequences of paternal inheritance of mitochondrial DNA

Evolutionary genetic modelling of plankton populations

Comparative protein modelling and applications in evolutionary biology and medicine

Publications

Research Highlights

Yutuc, E., Angelini, R., Baumert, M., Mast, N., Pikuleva, I., Newton, J., Clench, M., Skibinski, D., Howell, O., Wang, Y., & Griffiths, W. (2019). Imaging Sterols and Oxysterols in Mouse Brain Reveals Distinct Spatial Cholesterol Metabolism
https://doi.org/10.1101/450973, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53208
Yutuc, E., Angelini, R., Baumert, M., Mast, N., Pikuleva, I., Newton, J., Clench, M., Skibinski, D., Howell, O., Wang, Y., & Griffiths, W. (2020). Localization of sterols and oxysterols in mouse brain reveals distinct spatial cholesterol metabolism. Proceedings of the National Academy of Sciences, 117(11), 5749-5760.
https://doi.org/10.1073/pnas.1917421117, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53792
Flynn, K. & Skibinski, D. (2020). Exploring evolution of maximum growth rates in plankton. Journal of Plankton Research, 42(5), 497-513.
https://doi.org/10.1093/plankt/fbaa038, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55147
Skibinski, D. (2020). Some Thoughts on the Fermi Paradox and Extensions to the Kardashev Scale in Relation to Theology
https://doi.org/10.22541/au.158716290.04813939/v2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55149
Flynn, K., Skibinski, D., & Lindemann, C. (2018). Effects of growth rate, cell size, motion, and elemental stoichiometry on nutrient transport kinetics. PLOS Computational Biology, 14(4), e1006118
https://doi.org/10.1371/journal.pcbi.1006118, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39983
Romero, M., Pérez-Figueroa, A., Carrera, M., Swanson, W., Skibinski, D., & Diz, A. (2019). RNA-seq coupled to proteomic analysis reveals high sperm proteome variation between two closely related marine mussel species. Journal of Proteomics
https://doi.org/10.1016/j.jprot.2018.08.020, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44682
Diz, A., Carvajal-Rodriguez, A., Skibinski, D., & Skibinski, D. (2011). Multiple Hypothesis Testing in Proteomics: A Strategy for Experimental Work. Molecular & Cellular Proteomics, 10(3), M110.004374-M110.004374.
https://doi.org/10.1074/mcp.M110.004374, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9976
Diz, A., Truebano, M., & Skibinski, D. (2009). The consequences of sample pooling in proteomics: An empirical study. ELECTROPHORESIS, 30(17), 2967-2975.
https://doi.org/10.1002/elps.200900210, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9977
Diz, A., Dudley, E., Cogswell, A., MacDonald, B., Kenchington, E., Zouros, E., & Skibinski, D. (2013). Proteomic Analysis of Eggs fromMytilus edulisFemales Differing in Mitochondrial DNA Transmission Mode. Molecular & Cellular Proteomics, 12(11), 3068-3080.
https://doi.org/10.1074/mcp.M113.031401, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15258
Skibinski, D., Ghiselli, F., Diz, A., Milani, L., & Mullins, J. (2017). Structure-Related Differences between Cytochrome Oxidase I Proteins in a Stable Heteroplasmic Mitochondrial System. Genome Biology and Evolution, 9(12), 3265-3281.
https://doi.org/10.1093/gbe/evx235, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37121
Tolman, D., Wood, H., Skibinski, D., & Truebano, M. (2019). Differential immunity as a factor influencing mussel hybrid zone structure. Marine Biology, 166(12)
https://doi.org/10.1007/s00227-019-3604-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52706
Diz, A., Dudley, E., MacDonald, B., Pina, B., Kenchington, E., Zouros, E., Skibinski, D., Skibinski, D., & Dudley, E. (2009). Genetic Variation Underlying Protein Expression in Eggs of the Marine Mussel Mytilus edulis. Molecular & Cellular Proteomics, 8, 132-144.
https://doi.org/10.1074/mcp.M800237-MCP200, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9975
Mitchell, I. & Skibinski, D. (2012). Analysis of Genotoxicity Data in a Regulatory Context. (pp. 399-417).
https://doi.org/10.1007/978-1-61779-421-6_18, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10873
Diz, A., Dudley, E., & Skibinski, D. (2012). Identification and characterisation of highly expressed proteins in sperm cells of the marine mussel Mytilus edulis. PROTEOMICS, 12(12), 1949-1956.
https://doi.org/10.1002/pmic.201100500, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10815
Hayward, P., Porter, J., Skibinski, D., & Skibinski, D. (2009). Bayesian phylogenetics of Bryozoa. MOLECULAR PHYLOGENETICS AND EVOLUTION, 52, 904-910.
https://doi.org/10.1016/j.ympev.2009.05.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9978
Diz, A., Romero, M., Pérez-Figueroa, A., Swanson, W., & Skibinski, D. (2018). RNA-seq data from mature male gonads of marine mussels Mytilus edulis and M. galloprovincialis. Data in Brief, 21, 167-175.
https://doi.org/10.1016/j.dib.2018.09.086, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44779
Zbawicka, M., Burzynski, A., Skibinski, D., & Skibinski, D. (2010). Scottish Mytilus trossulus mussels retain ancestral mitochondrial DNA: Complete sequences of male and female mtDNA genomes. GENE, 456, 45-53.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10147
Flynn, K., St John, M., Raven, J., Skibinski, D., Allen, J., Mitra, A., & Hofmann, E. (2015). Acclimation, adaptation, traits and trade-offs in plankton functional type models: reconciling terminology for biology and modelling. Journal of Plankton Research, 37(4), 683-691.
https://doi.org/10.1093/plankt/fbv036, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23535
Jones, N., Piasecka, J., Bryant, A., Jones, R., Skibinski, D., Francis, N., Thornton, C., Skibinski, D., Jones, R., Thornton, C., Bryant, A., & Jones, N. (2015). Bioenergetic analysis of human peripheral blood mononuclear cells. Clinical & Experimental Immunology, 182(1), 69-80.
https://doi.org/10.1111/cei.12662, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23517
Tsyganov-Bodounov, A. & Skibinski, D. (2010). Confocal laser scanning microscopy method for in vivo bryozoan larvae identification. Marine Biodiversity Records, 3
https://doi.org/10.1017/S1755267210000400, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10816
Bond, A., Bodger, O., Skibinski, D., Jones, D., Restall, C., Dudley, E., Keulen, G., Jones, H., & Van Keulen, G. (2013). Negatively-Marked MCQ Assessments That Reward Partial Knowledge Do Not Introduce Gender Bias Yet Increase Student Performance and Satisfaction and Reduce Anxiety. PLoS ONE, 8(2)
https://doi.org/10.1371/journal.pone.0055956, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14174
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0055956
Dale, C., Facey, P., Hitchings, M., Williams, J., Skibinski, D., Dyson, P., Sol, R., & Del Sol Abascal, R. (2013). The Evolution of an Osmotically Inducible dps in the Genus Streptomyces. PLoS ONE, 8(4)
https://doi.org/10.1371/journal.pone.0060772, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14547
Johnson, G., Doak, S., Griffiths, S., Quick, E., Skibinski, D., Zaïr, Z., & Jenkins, G. (2009). Non-linear dose–response of DNA-reactive genotoxins: Recommendations for data analysis. Mutation Research/Genetic Toxicology and Environmental Mutagenesis, 678(2), 95-100.
https://doi.org/10.1016/j.mrgentox.2009.05.009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10159
http://www.scopus.com/record/display.url?eid=2-s2.0-69449087034&origin=resultslist&sort=plf-f&src=s&st1=johnson&st2=g&nlo=1&nlr=20&nls=count-f&sid=nkEabDC5JfN4WVqV93wmb74%3a163&sot=anl&sdt=aut&sl=38&s=AU-ID%28%22Johnson%2c+George+E.%22+8528864100%29&relpos=4&relpos=4&searchTerm=AU-ID(\%22Johnson,%20George%20E.\%22%208528864100)
Diz, A., Romero, M., Galindo, J., Saura, M., Skibinski, D., & Rolán-Alvarez, E. (2021). Proteomic analysis of F1 hybrids and intermediate variants in a littorina saxatilis hybrid zone. Current Zoology, 68(3)
https://doi.org/10.1093/cz/zoab054, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57607

All Research

Journal Articles

Diz, A., Romero, M., Galindo, J., Saura, M., Skibinski, D., & Rolán-Alvarez, E. (2021). Proteomic analysis of F1 hybrids and intermediate variants in a littorina saxatilis hybrid zone. Current Zoology, 68(3)
https://doi.org/10.1093/cz/zoab054, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57607
Flynn, K. & Skibinski, D. (2020). Exploring evolution of maximum growth rates in plankton. Journal of Plankton Research, 42(5), 497-513.
https://doi.org/10.1093/plankt/fbaa038, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55147
Yutuc, E., Angelini, R., Baumert, M., Mast, N., Pikuleva, I., Newton, J., Clench, M., Skibinski, D., Howell, O., Wang, Y., & Griffiths, W. (2020). Localization of sterols and oxysterols in mouse brain reveals distinct spatial cholesterol metabolism. Proceedings of the National Academy of Sciences, 117(11), 5749-5760.
https://doi.org/10.1073/pnas.1917421117, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53792
Tolman, D., Wood, H., Skibinski, D., & Truebano, M. (2019). Differential immunity as a factor influencing mussel hybrid zone structure. Marine Biology, 166(12)
https://doi.org/10.1007/s00227-019-3604-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52706
Romero, M., Pérez-Figueroa, A., Carrera, M., Swanson, W., Skibinski, D., & Diz, A. (2019). RNA-seq coupled to proteomic analysis reveals high sperm proteome variation between two closely related marine mussel species. Journal of Proteomics
https://doi.org/10.1016/j.jprot.2018.08.020, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44682
Diz, A., Romero, M., Pérez-Figueroa, A., Swanson, W., & Skibinski, D. (2018). RNA-seq data from mature male gonads of marine mussels Mytilus edulis and M. galloprovincialis. Data in Brief, 21, 167-175.
https://doi.org/10.1016/j.dib.2018.09.086, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44779
Flynn, K., Skibinski, D., & Lindemann, C. (2018). Effects of growth rate, cell size, motion, and elemental stoichiometry on nutrient transport kinetics. PLOS Computational Biology, 14(4), e1006118
https://doi.org/10.1371/journal.pcbi.1006118, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39983
Skibinski, D., Ghiselli, F., Diz, A., Milani, L., & Mullins, J. (2017). Structure-Related Differences between Cytochrome Oxidase I Proteins in a Stable Heteroplasmic Mitochondrial System. Genome Biology and Evolution, 9(12), 3265-3281.
https://doi.org/10.1093/gbe/evx235, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37121
Flynn, K., St John, M., Raven, J., Skibinski, D., Allen, J., Mitra, A., & Hofmann, E. (2015). Acclimation, adaptation, traits and trade-offs in plankton functional type models: reconciling terminology for biology and modelling. Journal of Plankton Research, 37(4), 683-691.
https://doi.org/10.1093/plankt/fbv036, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23535
Jones, N., Piasecka, J., Bryant, A., Jones, R., Skibinski, D., Francis, N., Thornton, C., Skibinski, D., Jones, R., Thornton, C., Bryant, A., & Jones, N. (2015). Bioenergetic analysis of human peripheral blood mononuclear cells. Clinical & Experimental Immunology, 182(1), 69-80.
https://doi.org/10.1111/cei.12662, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23517
Diz, A., Dudley, E., Cogswell, A., MacDonald, B., Kenchington, E., Zouros, E., & Skibinski, D. (2013). Proteomic Analysis of Eggs fromMytilus edulisFemales Differing in Mitochondrial DNA Transmission Mode. Molecular & Cellular Proteomics, 12(11), 3068-3080.
https://doi.org/10.1074/mcp.M113.031401, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15258
Dale, C., Facey, P., Hitchings, M., Williams, J., Skibinski, D., Dyson, P., Sol, R., & Del Sol Abascal, R. (2013). The Evolution of an Osmotically Inducible dps in the Genus Streptomyces. PLoS ONE, 8(4)
https://doi.org/10.1371/journal.pone.0060772, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14547
Bond, A., Bodger, O., Skibinski, D., Jones, D., Restall, C., Dudley, E., Keulen, G., Jones, H., & Van Keulen, G. (2013). Negatively-Marked MCQ Assessments That Reward Partial Knowledge Do Not Introduce Gender Bias Yet Increase Student Performance and Satisfaction and Reduce Anxiety. PLoS ONE, 8(2)
https://doi.org/10.1371/journal.pone.0055956, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14174
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0055956
Diz, A., Dudley, E., & Skibinski, D. (2012). Identification and characterisation of highly expressed proteins in sperm cells of the marine mussel Mytilus edulis. PROTEOMICS, 12(12), 1949-1956.
https://doi.org/10.1002/pmic.201100500, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10815
Diz, A., Carvajal-Rodriguez, A., Skibinski, D., & Skibinski, D. (2011). Multiple Hypothesis Testing in Proteomics: A Strategy for Experimental Work. Molecular & Cellular Proteomics, 10(3), M110.004374-M110.004374.
https://doi.org/10.1074/mcp.M110.004374, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9976
Zbawicka, M., Burzynski, A., Skibinski, D., & Skibinski, D. (2010). Scottish Mytilus trossulus mussels retain ancestral mitochondrial DNA: Complete sequences of male and female mtDNA genomes. GENE, 456, 45-53.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10147
Tsyganov-Bodounov, A. & Skibinski, D. (2010). Confocal laser scanning microscopy method for in vivo bryozoan larvae identification. Marine Biodiversity Records, 3
https://doi.org/10.1017/S1755267210000400, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10816
Diz, A., Truebano, M., & Skibinski, D. (2009). The consequences of sample pooling in proteomics: An empirical study. ELECTROPHORESIS, 30(17), 2967-2975.
https://doi.org/10.1002/elps.200900210, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9977
Diz, A., Dudley, E., MacDonald, B., Pina, B., Kenchington, E., Zouros, E., Skibinski, D., Skibinski, D., & Dudley, E. (2009). Genetic Variation Underlying Protein Expression in Eggs of the Marine Mussel Mytilus edulis. Molecular & Cellular Proteomics, 8, 132-144.
https://doi.org/10.1074/mcp.M800237-MCP200, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9975
Hayward, P., Porter, J., Skibinski, D., & Skibinski, D. (2009). Bayesian phylogenetics of Bryozoa. MOLECULAR PHYLOGENETICS AND EVOLUTION, 52, 904-910.
https://doi.org/10.1016/j.ympev.2009.05.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9978
Johnson, G., Doak, S., Griffiths, S., Quick, E., Skibinski, D., Zaïr, Z., & Jenkins, G. (2009). Non-linear dose–response of DNA-reactive genotoxins: Recommendations for data analysis. Mutation Research/Genetic Toxicology and Environmental Mutagenesis, 678(2), 95-100.
https://doi.org/10.1016/j.mrgentox.2009.05.009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10159
http://www.scopus.com/record/display.url?eid=2-s2.0-69449087034&origin=resultslist&sort=plf-f&src=s&st1=johnson&st2=g&nlo=1&nlr=20&nls=count-f&sid=nkEabDC5JfN4WVqV93wmb74%3a163&sot=anl&sdt=aut&sl=38&s=AU-ID%28%22Johnson%2c+George+E.%22+8528864100%29&relpos=4&relpos=4&searchTerm=AU-ID(\%22Johnson,%20George%20E.\%22%208528864100)

Book Chapters

Mitchell, I. & Skibinski, D. (2012). Analysis of Genotoxicity Data in a Regulatory Context. (pp. 399-417).
https://doi.org/10.1007/978-1-61779-421-6_18, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10873

Other Research Outputs

Skibinski, D. (2020). Some Thoughts on the Fermi Paradox and Extensions to the Kardashev Scale in Relation to Theology
https://doi.org/10.22541/au.158716290.04813939/v2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55149
Yutuc, E., Angelini, R., Baumert, M., Mast, N., Pikuleva, I., Newton, J., Clench, M., Skibinski, D., Howell, O., Wang, Y., & Griffiths, W. (2019). Imaging Sterols and Oxysterols in Mouse Brain Reveals Distinct Spatial Cholesterol Metabolism
https://doi.org/10.1101/450973, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53208